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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1252530</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of SARS-CoV-2 infection and impact of the COVID-19 pandemic in avocado farmworkers from Mexico</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Armend&#x00E1;riz-Arnez</surname>
<given-names>Cynthia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2534109/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tamayo-Ortiz</surname>
<given-names>Marcela</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1419180/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mora-Ardila</surname>
<given-names>Francisco</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodr&#x00ED;guez-Barrena</surname>
<given-names>Mar&#x00ED;a Esther</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2426710/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barros-Sierra</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Castillo</surname>
<given-names>Federico</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/986409/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>S&#x00E1;nchez-Vargas</surname>
<given-names>Armando</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1727470/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lopez-Carr</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/108967/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deardorff</surname>
<given-names>Julianna</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eskenazi</surname>
<given-names>Brenda</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2599405/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Mora</surname>
<given-names>Ana M.</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/871976/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico</institution>, <addr-line>Morelia</addr-line>, <country>Mexico</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Environmental Health Sciences, Columbia Mailman School of Public Health</institution>, <addr-line>New York, NY</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico</institution>, <addr-line>Morelia</addr-line>, <country>Mexico</country></aff>
<aff id="aff4"><sup>4</sup><institution>Instituto Mexicano del Seguro Social</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Environmental Science, Policy and Management, University of California, Berkeley</institution>, <addr-line>Berkeley, CA</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institute of Economic Research, Universidad Nacional Aut&#x00F3;noma de Mexico</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Geography, University of California, Santa Barbara</institution>, <addr-line>Santa Barbara, CA</addr-line>, <country>United States</country></aff>
<aff id="aff8"><sup>8</sup><institution>Center for Environmental Research and Community Health, School of Public Health, University of California, Berkeley</institution>, <addr-line>Berkeley, CA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0003">
<p>Edited by: Biagio Solarino, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0004">
<p>Reviewed by: Stephanie N. Tornberg, University of Washington, United States; Maria Eugenia Jimenez-Corona, National Institute of Cardiology Ignacio Chavez, Mexico; Rodrigo Garcia-Lopez, UNAM Campus Morelos, National Autonomous University of Mexico, Mexico</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Ana M. Mora, <email>animora@berkeley.edu</email></corresp>
<fn fn-type="equal" id="fn0002">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1252530</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Armend&#x00E1;riz-Arnez, Tamayo-Ortiz, Mora-Ardila, Rodr&#x00ED;guez-Barrena, Barros-Sierra, Castillo, S&#x00E1;nchez-Vargas, Lopez-Carr, Deardorff, Eskenazi and Mora.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Armend&#x00E1;riz-Arnez, Tamayo-Ortiz, Mora-Ardila, Rodr&#x00ED;guez-Barrena, Barros-Sierra, Castillo, S&#x00E1;nchez-Vargas, Lopez-Carr, Deardorff, Eskenazi and Mora</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>The COVID-19 pandemic disproportionately affected farmworkers in the United States and Europe, leading to increased morbidity and mortality. However, little is known about the specific impact of the pandemic on agriculture and food production workers in low- and middle-income countries. This study aimed to investigate the prevalence of SARS-CoV-2 infection and assess the mental health and economic consequences of the COVID-19 pandemic among avocado farmworkers in Michoacan, Mexico.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>We conducted a cross-sectional study of adult farmworkers (<italic>n</italic>&#x2009;=&#x2009;395) in May 2021. We collected survey data, nasal swabs and saliva samples for SARS-CoV-2 RNA detection, and blood samples for immunoglobulin G (IgG) reactivity measurements.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>None of the farmworkers tested positive for SARS-CoV-2 RNA. However, among unvaccinated farmworkers (<italic>n</italic>&#x2009;=&#x2009;336, 85%), approximately one-third (33%) showed evidence of past infection (positive for IgG against SARS-CoV-2). Unvaccinated farmworkers who lived with other farmworkers (aRR&#x2009;=&#x2009;1.55; 95% CI: 1.05, 2.05), had ever lived with someone with COVID-19 (aRR&#x2009;=&#x2009;1.82; 95% CI: 1.22, 2.43), and who had diabetes (aRR&#x2009;=&#x2009;2.19; 95% CI: 1.53, 2.85) had a higher risk of testing IgG-positive for SARS-CoV-2 infection. In contrast, unvaccinated farmworkers living in more rural areas (outside of Tingambato or Uruapan) (aRR&#x2009;=&#x2009;0.71; 95% CI: 0.46, 0.96) or cooking with wood-burning stove (aRR&#x2009;=&#x2009;0.75; 95% CI: 0.55, 0.96) had a lower risk of IgG-positivity. Moreover, 66% of farmworkers reported a negative impact of the pandemic on their lives, 29% reported experiencing food insecurity and difficulty paying bills, and 10% reported depression or anxiety symptoms.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The COVID-19 pandemic has significantly affected the mental health and financial well-being of avocado farmworkers. Consequently, the implementation of interventions and prevention efforts, such as providing mental health support and food assistance services, is imperative.</p>
</sec>
</abstract>
<kwd-group>
<kwd>farmworker health</kwd>
<kwd>anxiety</kwd>
<kwd>depression</kwd>
<kwd>food insecurity</kwd>
<kwd>COVID-19</kwd>
<kwd>Mexico</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="75"/>
<page-count count="16"/>
<word-count count="10497"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Occupational Health and Safety</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>The first confirmed case of COVID-19 in Mexico was reported on February 27, 2020 (<xref ref-type="bibr" rid="ref1">1</xref>). About a month later, when the number of confirmed cases in the country had surged to 848 (<xref ref-type="bibr" rid="ref2">2</xref>), the Mexican federal government launched the &#x201C;National Healthy Distance&#x201D; campaign (<xref ref-type="bibr" rid="ref3">3</xref>). This campaign urged people to wash their hands frequently, practice social distancing, and, if possible, work from home. On March 30, 2020, the federal government declared a national health emergency and suspended all non-essential activities (<xref ref-type="bibr" rid="ref4">4</xref>). Farmworkers were among the occupational groups deemed essential to the economy (<xref ref-type="bibr" rid="ref5">5</xref>) and continued in-person work. On June 1, 2020, with no clear signs that transmission had been brought under control, the federal government introduced a &#x201C;traffic light&#x201D; alert system for epidemiological risk in each state, guiding state responses and replacing nationwide suspensions (<xref ref-type="bibr" rid="ref6">6</xref>). In August 2020, Mexico ranked among the top 10 countries in terms of infections and the top five in terms of deaths per 100,000 inhabitants (<xref ref-type="bibr" rid="ref7">7</xref>). The COVID-19 vaccination campaign, led by the Mexican federal government, began on December 24, 2020, prioritizing healthcare workers, teachers, and adults aged over 60&#x2009;years (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Approximately 21% of Mexico&#x2019;s population resides in rural areas (<xref ref-type="bibr" rid="ref9">9</xref>), with 12% employed in the agricultural sector (<xref ref-type="bibr" rid="ref10">10</xref>). Both farmworkers and non-farmworkers living in rural areas face similar poverty indicators, such as educational attainment, income level, food access, housing quality, and healthcare accessibility (<xref ref-type="bibr" rid="ref11">11</xref>). The COVID-19 pandemic has exacerbated long-standing socioeconomic and health disparities in historically underserved populations in Mexico (<xref ref-type="bibr" rid="ref12">12</xref>&#x2013;<xref ref-type="bibr" rid="ref15">15</xref>) and worldwide (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>), including those living in rural areas. One of the most glaring disparities highlighted by the COVID-19 pandemic was the limited access to healthcare in rural areas, where about one in four people has access to adequate facilities (<xref ref-type="bibr" rid="ref18">18</xref>). This lack of healthcare infrastructure made it exceedingly difficult for individuals in the rural areas to receive prompt medical attention and SARS-CoV-2 testing, thereby exacerbating virus spread and increasing the risk of severe illness or death. Moreover, poverty remains more prevalent in rural areas (<xref ref-type="bibr" rid="ref19">19</xref>), introducing additional risk factors for SARS-CoV-2 infection like malnutrition and overcrowded housing. Despite the availability of COVID-19 vaccines to non-healthcare professionals in Mexico since February 2021, vaccine hesitancy is slightly more prevalent among rural and indigenous communities (<xref ref-type="bibr" rid="ref20">20</xref>). This hesitancy often stems from limited access to reliable information, historical distrust of healthcare systems, and misinformation, contributing to lower vaccination rates in these populations (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>Epidemiological studies conducted in the United States (<xref ref-type="bibr" rid="ref22">22</xref>&#x2013;<xref ref-type="bibr" rid="ref26">26</xref>) and Europe (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>) have shown that farmworkers are among the populations disproportionately affected by the COVID-19 pandemic. However, little is known about the burden among farmworkers in Mexico and other low- and middle- income countries (LMICs). Recently, a study of banana farmworkers in Guatemala conducted from June 2020 to October 2021 (<xref ref-type="bibr" rid="ref29">29</xref>) found a SARS-CoV-2 infection prevalence (3.1 cases/100 person-years) similar to the one reported in a study of primarily Mexican-born and low-income farmworkers from California conducted from July to November 2020 (<xref ref-type="bibr" rid="ref22">22</xref>). The latter study found that some of the risk factors for SARS-CoV-2 infection among farmworkers were low educational attainment, living in crowded housing or with unrelated roommates, living in urban areas, and working in the fields (or outdoors) rather than elsewhere in agriculture (<xref ref-type="bibr" rid="ref30">30</xref>). Farmworkers in Mexico, while having different living and working conditions from those in the U.S. and Europe, likely share commonalities in various structural factors and social determinants of health, such as limited healthcare access, economic vulnerability, and labor rights (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). These shared factors could potentially increase Mexican farmworkers&#x2019; risk for SARS-CoV-2 infection and the negative impact of the COVID-19 pandemic on their lives. Notably, the study of farmworkers in Guatemala observed that those who experienced COVID-19 had greater disease severity, absenteeism, and economic losses than farmworkers with other influenza-like illnesses (<xref ref-type="bibr" rid="ref29">29</xref>). Likewise, recent cross-sectional studies of primarily Mexican-born farmworkers in California and Washington State found that the COVID-19 pandemic exacerbated challenges affecting mental health and food security among this vulnerable population (<xref ref-type="bibr" rid="ref33">33</xref>&#x2013;<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>Mexico is the world&#x2019;s largest producer of avocados (<xref ref-type="bibr" rid="ref36">36</xref>), accounting for 45% of global production (<xref ref-type="bibr" rid="ref37">37</xref>). As of 2022, the state of Michoacan produced approximately 72% of the nation&#x2019;s avocados (<xref ref-type="bibr" rid="ref37">37</xref>) and was home to around 34,000 avocado farmers (<xref ref-type="bibr" rid="ref38">38</xref>). Michoacan has a population of 4.7&#x2009;million people, with about 30% residing in rural areas (<xref ref-type="bibr" rid="ref39">39</xref>). The state has played a crucial role in the dynamics of agricultural labor migration to the U.S. (<xref ref-type="bibr" rid="ref40">40</xref>). For instance, between 2015 and 2020, Michoacan ranked third among the 32 Mexican states in the number of immigrants to the United States, with nearly 40,000 immigrants (<xref ref-type="bibr" rid="ref41">41</xref>). Due to the state&#x2019;s heavy reliance on agriculture and its substantial rural population, understanding the impact of the COVID-19 pandemic on its residents, especially those employed in the avocado industry, holds significant importance. This study aimed to assess the prevalence of SARS-CoV-2 infection among Michoacan avocado farmworkers in May 2021. Additionally, it examined sociodemographic, household, community, and workplace factors associated with prior SARS-CoV-2 infection (as indicated by immunoglobulin G (IgG) seropositivity) among unvaccinated farmworkers. Lastly, the study delved into evaluating the mental health and economic impact of the COVID-19 pandemic on both unvaccinated and vaccinated farmworkers.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study setting</title>
<p>Tingambato is a rural community located within the state of Michoacan, Mexico. It has a population of approximately 16,000 inhabitants, which accounts for 0.3% of the state&#x2019;s population. The population density in Tingambato is 86.0 people per square kilometer (<xref ref-type="bibr" rid="ref42">42</xref>). The community is also home to more than 2,500 registered avocado growers (<xref ref-type="bibr" rid="ref43">43</xref>). Uruapan del Progreso, on the other hand, is the second largest city in Michoacan, with around 360,000 inhabitants and a population density of 352.2 people per square kilometer (<xref ref-type="bibr" rid="ref42">42</xref>); it is situated 30 kilometers away from Tingambato. Tingambato and Uruapan differ in several aspects, including size, infrastructure, cultural significance, delinquency rates, and economic activities (<xref ref-type="bibr" rid="ref44">44</xref>&#x2013;<xref ref-type="bibr" rid="ref46">46</xref>). Notably, people from Tingambato and 10 neighboring towns heavily depend on services and infrastructure provided by the city of Uruapan, including healthcare facilities, educational institutions, and transportation (<xref ref-type="bibr" rid="ref44">44</xref>).</p>
</sec>
<sec id="sec8">
<title>Study procedures</title>
<p>This study was conducted in partnership with the Tingambato Local Plant Health Board (LPHB), an organization of avocado growers that monitors local farms&#x2019; compliance with the Good Agricultural Practices program (<xref ref-type="bibr" rid="ref47">47</xref>). The study was approved by the Institutional Review Boards at UC Berkeley and Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico (UNAM).</p>
<p>In April and May 2021, we invited farmworkers from avocado farms registered at the Tingambato LPHB to participate in our study. We advertised the study on local radio, through community groups and growers, and via flyers posted around town. Farmworkers were eligible for participation if they were 18&#x2009;years or older, not pregnant, and had worked at an avocado farm within the previous 2&#x2009;weeks. We enrolled a convenience sample of 400 farmworkers from May 17 to May 29, 2021, during a period of low incidence of cases of COVID-19 after the January 2021 wave (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>) and at the time when only individuals who were 50&#x2009;years old or older were eligible to be vaccinated against SARS-CoV-2 (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). We excluded from analyses 5 (1.3%) farmworkers who did not provide blood samples, leaving a total of 395 participants.</p>
<p>All participants completed an in-person visit at the LPHB offices. Upon providing written informed consent, participants independently completed a 45-min computer-based questionnaire in Spanish, comprising approximately 300 questions (available upon request). The questionnaire encompassed two primary components: one focusing on COVID-19 and the other on pesticide exposure and its health effects among farmworkers. It gathered information on sociodemographic, household, community, and workplace characteristics; COVID-19 related symptoms (i.e., cough, blocked or runny nose, fever or chills, headache, sore throat, myalgia or body aches, shortness or difficulty breathing, diarrhea, nausea, fatigue, and new loss of sense of taste or smell) experienced since the pandemic started in December 2019; number of test-confirmed SARS-CoV-2 infections; COVID-19 exposures and vaccination status; and consequences of the COVID-19 pandemic on daily life and well-being. Regarding vaccination status, a farmworker was considered fully vaccinated if she/he had received all recommended doses of a COVID-19 vaccine authorized or approved by the Mexican Federal Commission for Protection against Sanitary Risks (COFEPRIS) or listed for emergency use by the World Health Organization (WHO). Partially vaccinated farmworkers had received at least one dose but had not completed all recommended doses of the vaccine. For analysis purposes, partially and fully vaccinated individuals were combined into one category because most vaccinated farmworkers (70%) did not specify whether they had received one or both doses of the COVID-19 vaccine.</p>
<p>To understand participants&#x2019; own assessment of the impact of the pandemic, we asked them two questions: &#x201C;How much of a negative impact has the COVID-19 pandemic had on your life?&#x201D; and &#x201C;How concerned are you about COVID-19?&#x201D; We also asked study participants whether they had increased their use of alcohol, tobacco, marijuana, and other substances like pills or other drugs &#x201C;compared to their use before the COVID-19 pandemic.&#x201D; We asked study participants about changes in other behaviors, such as less physical activity and sleeping problems during this time frame. To ascertain symptoms of depression and anxiety in the 2&#x2009;weeks preceding the interview, we used the Patient Health Questionnaire-2 (PHQ-2) (<xref ref-type="bibr" rid="ref50">50</xref>) and the Generalized Anxiety Disorder-2 (GAD-2) scale (<xref ref-type="bibr" rid="ref51">51</xref>), respectively, and classified participants with scores &#x2265;2 on either scale as symptomatic. To assess household food insecurity, we adapted the U.S. Department of Agriculture (USDA) Household food security six-question survey (<xref ref-type="bibr" rid="ref52">52</xref>) by altering the time period to &#x201C;since the pandemic started in Mexico in March 2020&#x2033; rather than &#x201C;the last 12&#x2009;months.&#x201D; For analyses, levels of food insecurity defined using USDA cut-offs were collapsed into two categories: the two lowest food insecurity groups (low and very low) were classified as &#x201C;not experiencing food insecurity&#x201D; and the two highest groups (high and marginal) were classified as &#x201C;experiencing food insecurity.&#x201D; In addition, we asked participants the question: &#x201C;Have you had more difficulty paying your bills (water, gas and electricity, rent) since the pandemic started?.&#x201D; We asked participants who were receiving remittances from family members outside of Mexico just prior to the pandemic whether they were now receiving less, more, or the same.</p>
<p>After completing the questionnaire, trained research staff measured participants&#x2019; height and weight to calculate their body mass index (BMI). They also collected a nasal swab and a saliva sample for detection of SARS-CoV-2 RNA via rapid SARS-CoV-2 antigen test (Panbio COVID-19 Rapid Device) and real-time reverse transcriptase polymerase chain reaction (RT-PCR) assay (<xref ref-type="bibr" rid="ref53">53</xref>), respectively. Lastly, a licensed phlebotomist collected a 4-mL non-fasting blood sample via venipuncture for assessment of IgG reactivity against the SARS-CoV-2 spike protein (which does not discriminate between natural SARS-CoV-2 infection and vaccination status) via chemiluminescent microparticle immunoassay (<xref ref-type="bibr" rid="ref54">54</xref>). Nasal swabs were tested on the spot; saliva and blood specimens were stored at 4&#x00B0;C and&#x2009;&#x2212;&#x2009;20&#x00B0;C, respectively, until shipment to the National Institute of Genomic Medicine in Mexico City for analysis.</p>
</sec>
<sec id="sec9">
<title>Statistical analyses</title>
<sec id="sec10">
<title>Prevalence and risk factors for positive SARS-CoV-2 infection test results</title>
<p>We tabulated SARS-CoV-2 RNA and IgG test results for all farmworkers and then computed estimates of the proportion of positive tests by vaccination status.</p>
<p>No farmworkers had nasal swabs or saliva samples positive for SARS-CoV-2 RNA, so we were not able to examine risk factors associated with positivity on these tests. Furthermore, due to our inability to discriminate between farmworkers who were vaccinated and those who had a SARS-CoV-2 infection, as well as the sociodemographic differences between vaccinated and unvaccinated participants (<xref ref-type="table" rid="tab1">Table 1</xref>), we restricted our analyses on risk factors associated with IgG-positive results to unvaccinated farmworkers (<italic>n</italic>&#x2009;=&#x2009;336). First, we fitted univariate binomial logistic regression models to examine the association of a wide range of sociodemographic, household, community, and work-related characteristics (referred to henceforth as risk factors) with IgG status (positive/negative) (<xref ref-type="table" rid="tab2">Table 2</xref>). Categorical risk factors were modeled as shown in <xref ref-type="table" rid="tab2">Table 2</xref>; age and household size were modeled as continuous variables. We then fitted a multivariable binomial logistic regression model with all risk factors with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.20 in bivariate analyses. We used multiple imputation with chained equations (10 iterations) to account for missing values in our multivariable model. We reduced our model using an information approach (<xref ref-type="bibr" rid="ref55">55</xref>) and the <italic>MuMIn</italic> package; only risk factors with an importance value &#x2265;0.5 in at least one of the 10 iterations were retained. Lastly, we estimated adjusted relative risks (aRRs) from our reduced model using the <italic>logisticRR</italic> package (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of avocado farmworkers, Michoacan, Mexico, May 2021 [<italic>n</italic> (%), median (IQR), or mean &#x00B1; SD].</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Attribute</th>
<th align="center" valign="top">All<break/>(<italic>n</italic>&#x2009;=&#x2009;395)</th>
<th align="center" valign="top">Unvaccinated<break/>(<italic>n</italic>&#x2009;=&#x2009;336)<sup>a</sup></th>
<th align="center" valign="top">Vaccinated (<italic>n</italic>&#x2009;=&#x2009;56)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="(" colspan="4">Sociodemographic characteristics</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Sex</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">9 (2.3)</td>
<td align="char" valign="top" char="(">9 (2.7)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">386 (97.7)</td>
<td align="char" valign="top" char="(">327 (97.3)</td>
<td align="char" valign="top" char="(">56 (100.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">Median (IQR)</td>
<td align="char" valign="top" char="(">37 (28&#x2013;48)</td>
<td align="char" valign="top" char="(">35 (27&#x2013;45)</td>
<td align="char" valign="top" char="(">60 (44&#x2013;65)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;30</td>
<td align="char" valign="top" char="(">123 (31.2)</td>
<td align="char" valign="top" char="(">116 (34.5)</td>
<td align="char" valign="top" char="(">4 (7.1)</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;59</td>
<td align="char" valign="top" char="(">228 (57.7)</td>
<td align="char" valign="top" char="(">206 (61.3)</td>
<td align="char" valign="top" char="(">22 (39.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;60</td>
<td align="char" valign="top" char="(">42 (10.6)</td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">30 (53.6)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.5)</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;Primary school</td>
<td align="char" valign="top" char="(">108 (27.3)</td>
<td align="char" valign="top" char="(">95 (28.3)</td>
<td align="char" valign="top" char="(">13 (23.2)</td>
</tr>
<tr>
<td align="left" valign="top">Middle school completed</td>
<td align="char" valign="top" char="(">115 (29.1)</td>
<td align="char" valign="top" char="(">106 (31.5)</td>
<td align="char" valign="top" char="(">8 (14.3)</td>
</tr>
<tr>
<td align="left" valign="top">High school completed</td>
<td align="char" valign="top" char="(">81 (20.5)</td>
<td align="char" valign="top" char="(">74 (22.0)</td>
<td align="char" valign="top" char="(">5 (8.9)</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor&#x2019;s degree or technical studies completed</td>
<td align="char" valign="top" char="(">74 (18.7)</td>
<td align="char" valign="top" char="(">46 (13.7)</td>
<td align="char" valign="top" char="(">28 (50.0)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">17 (4.3)</td>
<td align="char" valign="top" char="(">15 (4.5)</td>
<td align="char" valign="top" char="(">2 (3.6)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Not married or living as married</td>
<td align="char" valign="top" char="(">91 (23.0)</td>
<td align="char" valign="top" char="(">82 (24.4)</td>
<td align="char" valign="top" char="(">7 (12.5)</td>
</tr>
<tr>
<td align="left" valign="top">Married or living as married</td>
<td align="char" valign="top" char="(">302 (76.5)</td>
<td align="char" valign="top" char="(">252 (75.0)</td>
<td align="char" valign="top" char="(">49 (87.5)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.5)</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Community of residence</td>
</tr>
<tr>
<td align="left" valign="top">Tingambato</td>
<td align="char" valign="top" char="(">242 (61.3)</td>
<td align="char" valign="top" char="(">199 (59.3)</td>
<td align="char" valign="top" char="(">42 (75.0)</td>
</tr>
<tr>
<td align="left" valign="top">Uruapan</td>
<td align="char" valign="top" char="(">38 (9.6)</td>
<td align="char" valign="top" char="(">26 (7.7)</td>
<td align="char" valign="top" char="(">11 (19.6)</td>
</tr>
<tr>
<td align="left" valign="top">Other town<sup>b</sup></td>
<td align="char" valign="top" char="(">115 (29.1)</td>
<td align="char" valign="top" char="(">111 (33.0)</td>
<td align="char" valign="top" char="(">3 (5.4)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Household characteristics</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Household size</td>
</tr>
<tr>
<td align="left" valign="top">Median (IQR)</td>
<td align="char" valign="top" char="(">3 (2&#x2013;5)</td>
<td align="char" valign="top" char="(">3 (2&#x2013;5)</td>
<td align="char" valign="top" char="(">4 (2&#x2013;5)</td>
</tr>
<tr>
<td align="left" valign="top">0&#x2013;3</td>
<td align="char" valign="top" char="(">103 (26.1)</td>
<td align="char" valign="top" char="(">87 (25.9)</td>
<td align="char" valign="top" char="(">16 (28.6)</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;4</td>
<td align="char" valign="top" char="(">94 (23.8)</td>
<td align="char" valign="top" char="(">83 (24.7)</td>
<td align="char" valign="top" char="(">10 (17.9)</td>
</tr>
<tr>
<td align="left" valign="top">4&#x2013;13</td>
<td align="char" valign="top" char="(">185 (46.8)</td>
<td align="char" valign="top" char="(">156 (46.4)</td>
<td align="char" valign="top" char="(">27 (48.2)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">13 (3.3)</td>
<td align="char" valign="top" char="(">10 (3.0)</td>
<td align="char" valign="top" char="(">3 (5.4)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Household crowding</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 persons per bedroom</td>
<td align="char" valign="top" char="(">333 (84.3)</td>
<td align="char" valign="top" char="(">281 (83.6)</td>
<td align="char" valign="top" char="(">49 (87.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 persons per bedroom</td>
<td align="char" valign="top" char="(">41 (10.4)</td>
<td align="char" valign="top" char="(">37 (11.0)</td>
<td align="char" valign="top" char="(">4 (7.1)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">21 (5.3)</td>
<td align="char" valign="top" char="(">18 (5.4)</td>
<td align="char" valign="top" char="(">3 (5.4)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Living with other farmworkers</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">175 (44.3)</td>
<td align="char" valign="top" char="(">152 (45.2)</td>
<td align="char" valign="top" char="(">22 (39.3)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">210 (53.2)</td>
<td align="char" valign="top" char="(">176 (52.4)</td>
<td align="char" valign="top" char="(">32 (57.1)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">10 (2.5)</td>
<td align="char" valign="top" char="(">8 (2.4)</td>
<td align="char" valign="top" char="(">2 (3.6)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Annual household income (USD $)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;3,000</td>
<td align="char" valign="top" char="(">120 (30.4)</td>
<td align="char" valign="top" char="(">107 (31.8)</td>
<td align="char" valign="top" char="(">11 (19.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;3,000-6,000</td>
<td align="char" valign="top" char="(">143 (36.2)</td>
<td align="char" valign="top" char="(">126 (37.5)</td>
<td align="char" valign="top" char="(">17 (30.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;6,000</td>
<td align="char" valign="top" char="(">61 (15.4)</td>
<td align="char" valign="top" char="(">42 (12.5)</td>
<td align="char" valign="top" char="(">19 (33.9)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">71 (18.0)</td>
<td align="char" valign="top" char="(">61 (18.2)</td>
<td align="char" valign="top" char="(">9 (16.1)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Occupational characteristics</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Job title</td>
</tr>
<tr>
<td align="left" valign="top">Owner</td>
<td align="char" valign="top" char="(">88 (22.3)</td>
<td align="char" valign="top" char="(">68 (20.2)</td>
<td align="char" valign="top" char="(">19 (33.9)</td>
</tr>
<tr>
<td align="left" valign="top">Full-time worker</td>
<td align="char" valign="top" char="(">137 (34.7)</td>
<td align="char" valign="top" char="(">132 (39.3)</td>
<td align="char" valign="top" char="(">5 (8.9)</td>
</tr>
<tr>
<td align="left" valign="top">Temporary worker<sup>c</sup></td>
<td align="char" valign="top" char="(">12 (3.0)</td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top">No answer<sup>d</sup></td>
<td align="char" valign="top" char="(">158 (40.0)</td>
<td align="char" valign="top" char="(">124 (36.9)</td>
<td align="char" valign="top" char="(">32 (57.1)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Type of agricultural work in the last 2 weeks<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">Land preparation (watering, sowing, soil mix)</td>
<td align="char" valign="top" char="(">252 (63.8)</td>
<td align="char" valign="top" char="(">210 (62.5)</td>
<td align="char" valign="top" char="(">40 (71.4)</td>
</tr>
<tr>
<td align="left" valign="top">Pesticide application</td>
<td align="char" valign="top" char="(">324 (82.0)</td>
<td align="char" valign="top" char="(">271 (80.7)</td>
<td align="char" valign="top" char="(">52 (92.9)</td>
</tr>
<tr>
<td align="left" valign="top">Crop maintenance (pruning, weeding)</td>
<td align="char" valign="top" char="(">324 (82.0)</td>
<td align="char" valign="top" char="(">273 (81.2)</td>
<td align="char" valign="top" char="(">51 (91.1)</td>
</tr>
<tr>
<td align="left" valign="top">Cleaning storage room or packing fruit</td>
<td align="char" valign="top" char="(">243 (61.5)</td>
<td align="char" valign="top" char="(">202 (60.1)</td>
<td align="char" valign="top" char="(">41 (73.2)</td>
</tr>
<tr>
<td align="left" valign="top">Worker supervision</td>
<td align="char" valign="top" char="(">129 (32.7)</td>
<td align="char" valign="top" char="(">109 (32.4)</td>
<td align="char" valign="top" char="(">20 (35.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">5 (1.3)</td>
<td align="char" valign="top" char="(">5 (1.5)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Working closely with other farmworkers</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">19 (4.8)</td>
<td align="char" valign="top" char="(">16 (4.7)</td>
<td align="char" valign="top" char="(">1 (1.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">371 (93.9)</td>
<td align="char" valign="top" char="(">315 (93.8)</td>
<td align="char" valign="top" char="(">55 (98.2)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">5 (1.3)</td>
<td align="char" valign="top" char="(">5 (1.5)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Health-related characteristics</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Body mass index (measured)</td>
</tr>
<tr>
<td align="left" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td align="char" valign="top" char="(">28.5&#x2009;&#x00B1;&#x2009;4.4</td>
<td align="char" valign="top" char="(">28.6&#x2009;&#x00B1;&#x2009;4.6</td>
<td align="char" valign="top" char="(">28.01&#x2009;&#x00B1;&#x2009;3.44</td>
</tr>
<tr>
<td align="left" valign="top">Underweight or normal (&#x003C;25)</td>
<td align="char" valign="top" char="(">88 (22.3)</td>
<td align="char" valign="top" char="(">74 (22.0)</td>
<td align="char" valign="top" char="(">13 (23.2)</td>
</tr>
<tr>
<td align="left" valign="top">Overweight (25&#x2013;30)</td>
<td align="char" valign="top" char="(">175 (44.3)</td>
<td align="char" valign="top" char="(">148 (44.0)</td>
<td align="char" valign="top" char="(">25 (44.6)</td>
</tr>
<tr>
<td align="left" valign="top">Obesity (&#x2265;30)</td>
<td align="char" valign="top" char="(">131 (33.2)</td>
<td align="char" valign="top" char="(">113 (33.6)</td>
<td align="char" valign="top" char="(">18 (32.1)</td>
</tr>
<tr>
<td align="left" valign="top">Not collected</td>
<td align="char" valign="top" char="(">1 (0.3)</td>
<td align="char" valign="top" char="(">1 (0.3)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Self-reported diabetes</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">374 (94.7)</td>
<td align="char" valign="top" char="(">325 (96.7)</td>
<td align="char" valign="top" char="(">46 (82.1)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">21 (5.3)</td>
<td align="char" valign="top" char="(">11 (3.3)</td>
<td align="char" valign="top" char="(">10 (17.9)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Self-reported hypertension</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">351 (88.9)</td>
<td align="char" valign="top" char="(">306 (91.1)</td>
<td align="char" valign="top" char="(">42 (75.0)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">44 (11.1)</td>
<td align="char" valign="top" char="(">30 (8.9)</td>
<td align="char" valign="top" char="(">14 (25.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Health insurance coverage</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="char" valign="top" char="(">199 (50.4)</td>
<td align="char" valign="top" char="(">184 (54.8)</td>
<td align="char" valign="top" char="(">12 (21.4)</td>
</tr>
<tr>
<td align="left" valign="top">IMSS</td>
<td align="char" valign="top" char="(">103 (26.1)</td>
<td align="char" valign="top" char="(">90 (26.8)</td>
<td align="char" valign="top" char="(">13 (23.2)</td>
</tr>
<tr>
<td align="left" valign="top">ISSSTE</td>
<td align="char" valign="top" char="(">47 (11.9)</td>
<td align="char" valign="top" char="(">17 (5.1)</td>
<td align="char" valign="top" char="(">30 (53.6)</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char="(">46 (11.6)</td>
<td align="char" valign="top" char="(">45 (13.4)</td>
<td align="char" valign="top" char="(">1 (1.8)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Any COVID-19 related symptoms since the pandemic started<sup>f</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">156 (39.5)</td>
<td align="char" valign="top" char="(">131 (39.0)</td>
<td align="char" valign="top" char="(">22 (39.3)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">239 (60.5)</td>
<td align="char" valign="top" char="(">205 (61.0)</td>
<td align="char" valign="top" char="(">34 (60.7)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="4">Self-reported positive COVID-19 test</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="char" valign="top" char="(">377 (95.4)</td>
<td align="char" valign="top" char="(">322 (96.4)</td>
<td align="char" valign="top" char="(">52 (94.5)</td>
</tr>
<tr>
<td align="left" valign="top">Ever</td>
<td align="char" valign="top" char="(">15 (3.8)</td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">3 (5.5)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">3 (0.8)</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">1 (1.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IMSS, Instituto Mexicano de Seguridad Social (Mexican Social Security Institute); ISSSTE, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (Mexican Institute for Social Security and Services for State Workers); IQR, interquartile range. <sup>a</sup>Three participants did not answer whether they were vaccinated or not. <sup>b</sup>This category includes the following towns (distance to Tingambato): La Escondida (28.4&#x2009;km), El Mes&#x00F3;n (22.9&#x2009;km), Angachuan (37.6&#x2009;km), Pich&#x00E1;taro (55.4&#x2009;km), Parang&#x00FC;itiro (15&#x2009;km), Ziracuaretiro (18&#x2009;km), San Angel Zurumucapio (23&#x2009;km), Nahuatzen (45&#x2009;km), Comachu&#x00E9;n (45.2&#x2009;km), Tanc&#x00ED;taro (56.1&#x2009;km), El Tarasc&#x00F3;n (Salvador Escalante 31.7&#x2009;km), Nocutzepo (Erongar&#x00ED;cuaro 49.2&#x2009;km), P&#x00E1;tzcuaro (57.4&#x2009;km). <sup>c</sup>This category includes workers who are hired for specific activities such as pesticide application and harvest. <sup>d</sup>There was a programming mistake in the computer-based questionnaire that caused all participants who reported working in only one farm to skip this question. <sup>e</sup>Some participants worked in a variety of jobs. <sup>f</sup>Participants were asked whether they had experienced any of the following symptoms since December 2019: fever or chills, cough, shortness of breath, fatigue, myalgia, headache, new loss of sense of smell or taste, sore throat, blocked or runny nose, nausea or vomit, diarrhea, or any other symptom.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Sociodemographic, household, occupational, and health-related risk factors for anti-SARS-CoV-2 IgG positivity among unvaccinated avocado farmworkers, Michoacan, Mexico, May 2021 [<italic>n</italic> (%), median (IQR), or mean &#x00B1; SD].</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Attribute</th>
<th align="center" valign="top" rowspan="2">All<break/>(<italic>n</italic>&#x2009;=&#x2009;336)</th>
<th align="center" valign="top" colspan="4">IgG-positivity</th>
</tr>
<tr>
<th align="center" valign="top">Yes<break/>(<italic>n</italic>&#x2009;=&#x2009;112)</th>
<th align="center" valign="top">No<break/>(<italic>n</italic>&#x2009;=&#x2009;224)</th>
<th align="center" valign="top"><italic>p</italic>-value<sup>a</sup></th>
<th align="center" valign="top">aRR (95% CI)<sup>b</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="(" colspan="6">Sociodemographic risk factors</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Sex</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">9 (2.7)</td>
<td align="char" valign="top" char="(">4 (44.4)</td>
<td align="char" valign="top" char="(">5 (55.6)</td>
<td align="char" valign="top" char="(">0.48</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">327 (97.3)</td>
<td align="char" valign="top" char="(">108 (33.0)</td>
<td align="char" valign="top" char="(">219 (67.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">Median (IQR)</td>
<td align="char" valign="top" char="(">35 (27&#x2013;45)</td>
<td align="char" valign="top" char="(">34.5 (27&#x2013;46)</td>
<td align="char" valign="top" char="(">34.5 (27&#x2013;45)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;30</td>
<td align="char" valign="top" char="(">116 (34.5)</td>
<td align="char" valign="top" char="(">38 (32.8)</td>
<td align="char" valign="top" char="(">78 (67.2)</td>
<td align="char" valign="top" char="(">0.20</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;59</td>
<td align="char" valign="top" char="(">206 (61.3)</td>
<td align="char" valign="top" char="(">67 (32.5)</td>
<td align="char" valign="top" char="(">139 (67.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;60</td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">7 (58.3)</td>
<td align="char" valign="top" char="(">5 (41.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td align="char" valign="top" char="(">2 (100.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;Primary school</td>
<td align="char" valign="top" char="(">95 (28.3)</td>
<td align="char" valign="top" char="(">27 (28.4)</td>
<td align="char" valign="top" char="(">68 (71.6)</td>
<td align="char" valign="top" char="(">0.70</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Middle school completed</td>
<td align="char" valign="top" char="(">106 (31.5)</td>
<td align="char" valign="top" char="(">37 (34.9)</td>
<td align="char" valign="top" char="(">69 (65.1)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">High school completed</td>
<td align="char" valign="top" char="(">74 (22.0)</td>
<td align="char" valign="top" char="(">25 (33.8)</td>
<td align="char" valign="top" char="(">49 (66.2)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor&#x2019;s degree or technical studies completed</td>
<td align="char" valign="top" char="(">46 (13.7)</td>
<td align="char" valign="top" char="(">17 (37.0)</td>
<td align="char" valign="top" char="(">29 (63.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">15 (4.5)</td>
<td align="char" valign="top" char="(">6 (40.0)</td>
<td align="char" valign="top" char="(">9 (60.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Not married or living as married</td>
<td align="char" valign="top" char="(">82 (24.4)</td>
<td align="char" valign="top" char="(">28 (34.1)</td>
<td align="char" valign="top" char="(">54 (65.9)</td>
<td align="char" valign="top" char="(">0.89</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Married or living as married</td>
<td align="char" valign="top" char="(">252 (75.0)</td>
<td align="char" valign="top" char="(">84 (33.3)</td>
<td align="char" valign="top" char="(">168 (66.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td align="char" valign="top" char="(">2 (100.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Annual household income (USD $)</td>
</tr>
<tr>
<td align="left" valign="top">3,000</td>
<td align="char" valign="top" char="(">107 (31.8)</td>
<td align="char" valign="top" char="(">31 (29.0)</td>
<td align="char" valign="top" char="(">76 (71.0)</td>
<td align="char" valign="top" char="(">0.36</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;3,000-6,000</td>
<td align="char" valign="top" char="(">126 (37.5)</td>
<td align="char" valign="top" char="(">37 (29.4)</td>
<td align="char" valign="top" char="(">89 (70.6)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;6,000</td>
<td align="char" valign="top" char="(">42 (12.5)</td>
<td align="char" valign="top" char="(">17 (40.5)</td>
<td align="char" valign="top" char="(">25 (59.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">61 (18.2)</td>
<td align="char" valign="top" char="(">27 (44.3)</td>
<td align="char" valign="top" char="(">34 (55.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Community of residence</td>
</tr>
<tr>
<td align="left" valign="top">Tingambato</td>
<td align="char" valign="top" char="(">199 (59.3)</td>
<td align="char" valign="top" char="(">69 (34.7)</td>
<td align="char" valign="top" char="(">130 (65.3)</td>
<td align="char" valign="top" char="(">0.17</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Uruapan</td>
<td align="char" valign="top" char="(">26 (7.7)</td>
<td align="char" valign="top" char="(">12 (46.2)</td>
<td align="char" valign="top" char="(">14 (53.8)</td>
<td/>
<td align="char" valign="top" char="(">1.17 (0.68, 1.67)</td>
</tr>
<tr>
<td align="left" valign="top">Other town<sup>c</sup></td>
<td align="char" valign="top" char="(">111 (33.0)</td>
<td align="char" valign="top" char="(">31 (27.9)</td>
<td align="char" valign="top" char="(">80 (72.1)</td>
<td/>
<td align="char" valign="top" char="(">0.71 (0.46, 0.96)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Household and community risk factors</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Household size</td>
</tr>
<tr>
<td align="left" valign="top">Median (IQR)</td>
<td align="char" valign="top" char="(">3 (2&#x2013;5)</td>
<td align="char" valign="top" char="(">4 (3&#x2013;5)</td>
<td align="char" valign="top" char="(">3 (2&#x2013;5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">0&#x2013;3</td>
<td align="char" valign="top" char="(">87 (25.9)</td>
<td align="char" valign="top" char="(">24 (27.6)</td>
<td align="char" valign="top" char="(">63 (72.4)</td>
<td align="char" valign="top" char="(">0.41</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;4</td>
<td align="char" valign="top" char="(">83 (24.7)</td>
<td align="char" valign="top" char="(">27 (32.5)</td>
<td align="char" valign="top" char="(">56 (67.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">4&#x2013;13</td>
<td align="char" valign="top" char="(">156 (46.4)</td>
<td align="char" valign="top" char="(">56 (35.9)</td>
<td align="char" valign="top" char="(">100 (64.1)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">10 (3.0)</td>
<td align="char" valign="top" char="(">5 (50.0)</td>
<td align="char" valign="top" char="(">5 (50.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Wood-burning cooking stove</td>
</tr>
<tr>
<td align="left" valign="top">No<sup>d</sup></td>
<td align="char" valign="top" char="(">210 (62.5)</td>
<td align="char" valign="top" char="(">81 (38.6)</td>
<td align="char" valign="top" char="(">129 (61.4)</td>
<td align="char" valign="top" char="(">0.01</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">126 (37.5)</td>
<td align="char" valign="top" char="(">31 (24.6)</td>
<td align="char" valign="top" char="(">95 (75.4)</td>
<td/>
<td align="char" valign="top" char="(">0.75 (0.55, 0.96)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Children &#x003C;18 y living in the home</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">66 (19.6)</td>
<td align="char" valign="top" char="(">18 (27.3)</td>
<td align="char" valign="top" char="(">48 (72.7)</td>
<td align="char" valign="top" char="(">0.19</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">255 (75.9)</td>
<td align="char" valign="top" char="(">91 (35.7)</td>
<td align="char" valign="top" char="(">164 (64.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">15 (4.5)</td>
<td align="char" valign="top" char="(">3 (20.0)</td>
<td align="char" valign="top" char="(">12 (80.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Children &#x2264;5 y living in the home</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">176 (52.4)</td>
<td align="char" valign="top" char="(">53 (30.1)</td>
<td align="char" valign="top" char="(">123 (69.9)</td>
<td align="char" valign="top" char="(">0.08</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">134 (39.9)</td>
<td align="char" valign="top" char="(">53 (39.6)</td>
<td align="char" valign="top" char="(">81 (60.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">26 (7.7)</td>
<td align="char" valign="top" char="(">6 (23.1)</td>
<td align="char" valign="top" char="(">20 (76.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Living with other farmworkers</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">152 (45.2)</td>
<td align="char" valign="top" char="(">39 (25.7)</td>
<td align="char" valign="top" char="(">113 (74.3)</td>
<td align="char" valign="top" char="(">0.01</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">176 (52.4)</td>
<td align="char" valign="top" char="(">70 (39.8)</td>
<td align="char" valign="top" char="(">106 (60.2)</td>
<td/>
<td align="char" valign="top" char="(">1.55 (1.05, 2.05)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">8 (2.4)</td>
<td align="char" valign="top" char="(">3 (37.5)</td>
<td align="char" valign="top" char="(">5 (62.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Household crowding</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 persons per bedroom</td>
<td align="char" valign="top" char="(">281 (83.6)</td>
<td align="char" valign="top" char="(">90 (32.0)</td>
<td align="char" valign="top" char="(">191 (68.0)</td>
<td align="char" valign="top" char="(">0.18</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 persons per bedroom</td>
<td align="char" valign="top" char="(">37 (11.0)</td>
<td align="char" valign="top" char="(">16 (43.2)</td>
<td align="char" valign="top" char="(">21 (56.8)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">18 (5.4)</td>
<td align="char" valign="top" char="(">6 (33.3)</td>
<td align="char" valign="top" char="(">12 (66.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Face covering use all the time</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">168 (50.0)</td>
<td align="char" valign="top" char="(">63 (37.5)</td>
<td align="char" valign="top" char="(">105 (62.5)</td>
<td align="char" valign="top" char="(">0.31</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">138 (41.1)</td>
<td align="char" valign="top" char="(">44 (31.9)</td>
<td align="char" valign="top" char="(">94 (68.1)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">30 (8.9)</td>
<td align="char" valign="top" char="(">5 (16.7)</td>
<td align="char" valign="top" char="(">25 (83.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Possible exposure to someone with COVID-19 at home since the start of the pandemic<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">299 (89.0)</td>
<td align="char" valign="top" char="(">90 (30.1)</td>
<td align="char" valign="top" char="(">209 (69.9)</td>
<td align="char" valign="top" char="(">&#x003C;0.01</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">20 (6.0)</td>
<td align="char" valign="top" char="(">14 (70.0)</td>
<td align="char" valign="top" char="(">6 (30.0)</td>
<td/>
<td align="char" valign="top" char="(">1.82 (1.22, 2.43)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">17 (5.1)</td>
<td align="char" valign="top" char="(">8 (47.1)</td>
<td align="char" valign="top" char="(">9 (52.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Occupational risk factors</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Job title</td>
</tr>
<tr>
<td align="left" valign="top">Owner</td>
<td align="char" valign="top" char="(">68 (20.2)</td>
<td align="char" valign="top" char="(">20 (29.4)</td>
<td align="char" valign="top" char="(">48 (70.6)</td>
<td align="char" valign="top" char="(">0.80</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Full-time worker</td>
<td align="char" valign="top" char="(">132 (39.3)</td>
<td align="char" valign="top" char="(">43 (32.6)</td>
<td align="char" valign="top" char="(">89 (67.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Temporary worker<sup>f</sup></td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">3 (25.0)</td>
<td align="char" valign="top" char="(">9 (75.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer<sup>g</sup></td>
<td align="char" valign="top" char="(">124 (36.9)</td>
<td align="char" valign="top" char="(">46 (37.1)</td>
<td align="char" valign="top" char="(">78 (62.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Worked indoors</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">129 (38.4)</td>
<td align="char" valign="top" char="(">48 (37.2)</td>
<td align="char" valign="top" char="(">81 (62.8)</td>
<td align="char" valign="top" char="(">0.22</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">202 (60.1)</td>
<td align="char" valign="top" char="(">62 (30.7)</td>
<td align="char" valign="top" char="(">140 (69.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">5 (1.5)</td>
<td align="char" valign="top" char="(">2 (40.0)</td>
<td align="char" valign="top" char="(">3 (60.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Face covering use at work all the time</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">245 (72.9)</td>
<td align="char" valign="top" char="(">80 (32.7)</td>
<td align="char" valign="top" char="(">165 (67.3)</td>
<td align="char" valign="top" char="(">0.57</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">89 (26.5)</td>
<td align="char" valign="top" char="(">32 (36.0)</td>
<td align="char" valign="top" char="(">57 (64.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td align="char" valign="top" char="(">2 (100.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Fever and symptoms screening upon arrival at workplace</td>
</tr>
<tr>
<td align="left" valign="top">Rarely</td>
<td align="char" valign="top" char="(">180 (53.6)</td>
<td align="char" valign="top" char="(">54 (30.0)</td>
<td align="char" valign="top" char="(">126 (70.0)</td>
<td align="char" valign="top" char="(">0.19</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Often</td>
<td align="char" valign="top" char="(">118 (35.1)</td>
<td align="char" valign="top" char="(">44 (37.3)</td>
<td align="char" valign="top" char="(">74 (62.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">38 (11.3)</td>
<td align="char" valign="top" char="(">14 (36.8)</td>
<td align="char" valign="top" char="(">24 (63.2)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Possible exposure to someone with COVID-19 at work since the start of the pandemic<sup>h</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">276 (82.1)</td>
<td align="char" valign="top" char="(">87 (31.5)</td>
<td align="char" valign="top" char="(">189 (68.5)</td>
<td align="char" valign="top" char="(">0.22</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">33 (9.8)</td>
<td align="char" valign="top" char="(">14 (42.4)</td>
<td align="char" valign="top" char="(">19 (57.6)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">27 (8.0)</td>
<td align="char" valign="top" char="(">11 (40.7)</td>
<td align="char" valign="top" char="(">16 (59.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Health-related characteristics</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Body mass index (measured)</td>
</tr>
<tr>
<td align="left" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td align="char" valign="top" char="(">28.6&#x2009;&#x00B1;&#x2009;4.6</td>
<td align="char" valign="top" char="(">28.5&#x2009;&#x00B1;&#x2009;4.4</td>
<td align="char" valign="top" char="(">28.5&#x2009;&#x00B1;&#x2009;4.6</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Underweight or normal (&#x003C;25)</td>
<td align="char" valign="top" char="(">74 (22.0)</td>
<td align="char" valign="top" char="(">26 (35.1)</td>
<td align="char" valign="top" char="(">48 (64.9)</td>
<td align="char" valign="top" char="(">0.57</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Overweight (25&#x2013;30)</td>
<td align="char" valign="top" char="(">148 (44.0)</td>
<td align="char" valign="top" char="(">45 (30.4)</td>
<td align="char" valign="top" char="(">103 (69.6)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Obesity (&#x2265;30)</td>
<td align="char" valign="top" char="(">113 (33.6)</td>
<td align="char" valign="top" char="(">41 (36.3)</td>
<td align="char" valign="top" char="(">72 (63.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Not collected</td>
<td align="char" valign="top" char="(">1 (0.3)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td align="char" valign="top" char="(">1 (100.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Self-reported diabetes</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">325 (96.7)</td>
<td align="char" valign="top" char="(">105 (32.3)</td>
<td align="char" valign="top" char="(">220 (67.7)</td>
<td align="char" valign="top" char="(">0.04</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">11 (3.3)</td>
<td align="char" valign="top" char="(">7 (63.6)</td>
<td align="char" valign="top" char="(">4 (36.4)</td>
<td/>
<td align="char" valign="top" char="(">2.19 (1.53, 2.85)</td>
</tr>
<tr>
<td align="left" valign="top">Self-reported hypertension</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">306 (91.1)</td>
<td align="char" valign="top" char="(">104 (34.0)</td>
<td align="char" valign="top" char="(">202 (66.0)</td>
<td align="char" valign="top" char="(">0.41</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">30 (8.9)</td>
<td align="char" valign="top" char="(">8 (26.7)</td>
<td align="char" valign="top" char="(">22 (73.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Health insurance coverage</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="char" valign="top" char="(">184 (54.8)</td>
<td align="char" valign="top" char="(">65 (35.3)</td>
<td align="char" valign="top" char="(">119 (64.7)</td>
<td align="char" valign="top" char="(">0.56</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">IMSS</td>
<td align="char" valign="top" char="(">90 (26.8)</td>
<td align="char" valign="top" char="(">30 (33.3)</td>
<td align="char" valign="top" char="(">60 (66.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">ISSSTE</td>
<td align="char" valign="top" char="(">17 (5.1)</td>
<td align="char" valign="top" char="(">6 (35.3)</td>
<td align="char" valign="top" char="(">11 (64.7)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char="(">45 (13.4)</td>
<td align="char" valign="top" char="(">11 (24.4)</td>
<td align="char" valign="top" char="(">34 (75.6)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Any COVID-19 related symptoms since the pandemic started<sup>i</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">131 (39.0)</td>
<td align="char" valign="top" char="(">38 (29.0)</td>
<td align="char" valign="top" char="(">93 (71.0)</td>
<td align="char" valign="top" char="(">0.18</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">205 (61.0)</td>
<td align="char" valign="top" char="(">74 (36.1)</td>
<td align="char" valign="top" char="(">131 (63.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="6">Self-reported positive COVID-19 test</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="char" valign="top" char="(">322 (96.4)</td>
<td align="char" valign="top" char="(">99 (30.7)</td>
<td align="char" valign="top" char="(">223 (69.3)</td>
<td align="char" valign="top" char="(">&#x003C;0.01</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Ever</td>
<td align="char" valign="top" char="(">12 (3.6)</td>
<td align="char" valign="top" char="(">12 (100.0)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">2 (0.6)</td>
<td align="char" valign="top" char="(">1 (50.0)</td>
<td align="char" valign="top" char="(">1 (50.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>aRR, adjusted relative risk; IMSS, Instituto Mexicano de Seguridad Social (Mexican Social Security Institute); ISSSTE, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (Mexican Institute for Social Security and Services for State Workers); IQR, interquartile range. Missing entries were excluded from bivariate analyses. <sup>a</sup>p-values were calculated using univariate binomial logistic regression models. <sup>b</sup>Adjusted RR and 95% CI were only obtained for variables with p&#x2009;&#x003C;&#x2009;0.20 in bivariate analyses and an importance value&#x2009;&#x2265;&#x2009;0.5 in at least one of the 10 iterations in multivariable model. <sup>c</sup>This category includes the following towns (distance to Tingambato): La Escondida (28.4&#x2009;km), El Mes&#x00F3;n (22.9&#x2009;km), Angachuan (37.6&#x2009;km), Pich&#x00E1;taro (55.4&#x2009;km), Parang&#x00FC;itiro (15&#x2009;km), Ziracuaretiro (18&#x2009;km), San Angel Zurumucapio (23&#x2009;km), Nahuatzen (45&#x2009;km), Comachu&#x00E9;n (45.2&#x2009;km), Tanc&#x00ED;taro (56.1&#x2009;km), El Tarasc&#x00F3;n (Salvador Escalante 31.7&#x2009;km), Nocutzepo (Erongar&#x00ED;cuaro 49.2&#x2009;km), P&#x00E1;tzcuaro (57.4&#x2009;km). <sup>d</sup>Includes electric and gas stoves. <sup>e</sup>Lived with someone who had COVID-19 symptoms or were known to be infected with SARS-CoV-2 since December 2019. <sup>f</sup>Includes workers who are hired for specific activities such as pesticide application and harvest. <sup>g</sup>There was a programming mistake in the computer-based questionnaire that caused all participants who reported working in only one farm to skip this question. <sup>h</sup>Worked with someone who had COVID-19 symptoms or were known to be infected with SARS-CoV-2 since December 2019. <sup>i</sup>Participants were asked whether they had experienced any of the following symptoms since December 2019: fever or chills, cough, shortness of breath, fatigue, myalgia, headache, new loss of sense of smell or taste, sore throat, blocked or runny nose, nausea or vomit, diarrhea, or any other symptom.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<title>Mental health and economic impact of the COVID-19 pandemic</title>
<p>We first ran descriptive analyses of mental health and economic characteristics that have been previously reported as adversely affected by the COVID-19 pandemic (<italic>n</italic>&#x2009;=&#x2009;395). We then fitted univariate binomial logistic regression models to examine the association of sociodemographic, household, occupational, and health-related characteristics with the overall impact of COVID-19 on farmworkers&#x2019; lives, regardless of their vaccination status (<italic>n</italic>&#x2009;=&#x2009;334 participants with complete data). Lastly, we fitted a multivariable binomial logistic regression model with all characteristics with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.20 in bivariate analyses, reduced our model, and estimated aRRs using the same approach described above.</p>
<p>All statistical analyses were conducted with R version 4.0.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref></p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<title>Results</title>
<p>Most study participants were male (97.7%), were married or living as married (76.5%), lived in Tingambato (61.3%), and reported annual household earnings of less than $6,000 per year (66.6%) (<xref ref-type="table" rid="tab1">Table 1</xref>), which was similar to the mean annual household income in rural Michoacan in 2020 (USD $5,800), but lower than the mean in 2022 (USD $7,000) (<xref ref-type="bibr" rid="ref57">57</xref>). Participants had a median age of 37&#x2009;years (interquartile range (IQR) 28&#x2013;48) and lived with a median of 3 household members (IQR 2&#x2013;5). Approximately half had completed middle school or had lower levels of education (56.4%), lived with other farmworkers (53.2%), and lacked health insurance (50.4%) (<xref ref-type="table" rid="tab1">Table 1</xref>). Around three-quarters (77.5%) were overweight or obese, while a small percentage reported having diabetes (5.3%) or hypertension (11.1%). Notably, 61% of all participants reported experiencing symptoms indicative of SARS-CoV-2 infection since March 2020, yet only 3.8% had tested positive for COVID-19 (<xref ref-type="table" rid="tab1">Table 1</xref>). Among farmworkers who experienced symptoms, approximately 40% continued working despite being symptomatic, while those who stayed home due to symptoms missed an average of 7.0 (SD 13.0) workdays.</p>
<p>At the time of the interview, 85.1% farmworkers were unvaccinated and, among these, 33.3% tested IgG positive (<xref ref-type="table" rid="tab2">Table 2</xref>). Among the 56 (14.9%) participants who were partially or fully vaccinated, 87.5% tested IgG positive. Vaccinated farmworkers were older (mean age of 54.1 (SD 14.9) years) and more educated (50% had completed a bachelor&#x2019;s degree or technical studies) compared to unvaccinated farmworkers (36.4 (12.3) years; and 13.7%, respectively) (<xref ref-type="table" rid="tab1">Table 1</xref>). Additionally, vaccinated participants were more likely to be married or living as married (87.5%), reside in Tingambato (75.0%) or Uruapan (19.6%), and report household earnings greater than $6,000 per year (33.9%) compared to unvaccinated farmworkers (75, 67, 12.5%; respectively) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<sec id="sec13">
<title>Risk factors for positive SARS-CoV-2 result on IgG test among unvaccinated farmworkers</title>
<p>In bivariate analyses, we observed that farmworkers aged 60&#x2009;years or older (58.3%) had a higher prevalence of IgG-positive SARS-CoV-2 infection than younger farmworkers (32.8% in those under age 30 and 32.5% in those aged 30&#x2013;59&#x2009;years; <xref ref-type="table" rid="tab2">Table 2</xref>). Farmworkers living with children under age 5 (39.6%), with other farmworkers (39.8%), and/or in crowded housing (&#x003E;2 persons/bedroom; 43.2%) also had higher seropositivity prevalence than their counterparts. Living with, but not working with, someone who had or may have had COVID-19 since the pandemic started (70.0%), having diabetes (63.6%), having had any SARS-CoV-2 infection symptoms since the pandemic started in December 2019 (36.1%), and having ever tested positive for COVID-19 (100.0%) were associated with a higher prevalence of IgG positivity. In contrast, farmworkers living outside of Tingambato or Uruapan (27.9%), cooking with a wood-burning stove (24.6%), and being rarely screened for either fever or COVID-19 symptoms upon arrival at work (30.0%) had a lower prevalence of IgG positivity than their counterparts (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<p>In multivariable analyses, we found that participants who lived with other farmworkers (aRR&#x2009;=&#x2009;1.55; 95% CI: 1.05, 2.05), had ever lived with someone with COVID-19 (aRR&#x2009;=&#x2009;1.82; 95% CI: 1.22, 2.43), or who had diabetes (aRR&#x2009;=&#x2009;2.19; 95% CI: 1.53, 2.86) had a higher risk of IgG positivity (<xref ref-type="table" rid="tab2">Table 2</xref>). Farmworkers who lived outside Tingambato or Uruapan (aRR&#x2009;=&#x2009;0.71; 95% CI: 0.46, 0.96) or cooked with a wood-burning stove (aRR&#x2009;=&#x2009;0.75; 95% CI: 0.55, 0.96) had a lower risk of having an IgG-positive test (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
</sec>
<sec id="sec14">
<title>Mental health and economic impact of the COVID-19 pandemic among vaccinated and unvaccinated farmworkers</title>
<p>Of the 395 farmworkers enrolled in our study, 66.3% reported being somewhat or extremely negatively impacted by COVID-19, and 72.2% were moderately or very concerned about COVID-19 (<xref ref-type="table" rid="tab3">Table 3</xref>). Notably, all nine female farmworkers reported been negatively impacted by COVID-19 (<xref ref-type="table" rid="tab4">Table 4</xref>). About 9 and 11% of all farmworkers reported symptoms of depression and anxiety, respectively. Almost half (46.6%) reported decreased physical activity, whereas fewer (15.9%) reported increased substance use (<xref ref-type="table" rid="tab3">Table 3</xref>). Approximately a quarter reported experiencing food insecurity (26.8%) or more difficulty paying bills (29.1%) since the COVID-19 pandemic started.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Mental health and economic impact of COVID-19 pandemic among avocado farmworkers, Michoacan, Mexico, 2021 (<italic>n</italic>&#x2009;=&#x2009;395).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>n</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="(" colspan="2">COVID-19&#x2019;s overall impact on life</td>
</tr>
<tr>
<td align="left" valign="top">Not negative at all</td>
<td align="char" valign="middle" char="(">72 (18.2)</td>
</tr>
<tr>
<td align="left" valign="top">Somewhat negative</td>
<td align="char" valign="middle" char="(">183 (46.3)</td>
</tr>
<tr>
<td align="left" valign="top">Extremely negative</td>
<td align="char" valign="middle" char="(">79 (20.0)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">61 (15.4)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Concern about COVID-19</td>
</tr>
<tr>
<td align="left" valign="top">Not or a little concerned</td>
<td align="char" valign="middle" char="(">97 (24.5)</td>
</tr>
<tr>
<td align="left" valign="top">Moderately or very concerned</td>
<td align="char" valign="middle" char="(">285 (72.2)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">13 (3.3)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Mental health impact<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Depression symptoms (&#x2265;2 on PHQ-2) in the 2&#x2009;weeks preceding the study interview</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">327 (82.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">34 (8.6)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">34 (8.6)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Anxiety symptoms (&#x2265;2 on GAD-2) in the 2&#x2009;weeks preceding the study interview</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">315 (79.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">44 (11.1)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">36 (9.1)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Felt unhappy with life</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">330 (83.5)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">54 (13.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">11 (2.8)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Had more angry outbursts</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">315 (79.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">70 (17.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">10 (2.5)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">More arguing in household</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">339 (85.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">46 (11.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">10 (2.5)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Had difficulty sleeping</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">326 (82.5)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">58 (14.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">11 (2.8)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Less physical activity or exercise</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">201 (50.9)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">184 (46.6)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">10 (2.5)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Overate/ate more unhealthy food</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">287 (72.7)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">93 (23.5)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">15 (3.8)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Increased use of alcohol</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">335 (84.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">47 (11.9)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">13 (3.3)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Increased use of tobacco</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">360 (91.1)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">23 (5.8)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">12 (3.1)</td>
</tr>
<tr>
<td align="left" valign="top">Increased use of marijuana</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">372 (94.2)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">6 (1.5)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">17 (4.3)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Increased use of other substances</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">369 (93.4)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">8 (2.0)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">18 (4.6)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Increased use of any substance<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">332 (84.1)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">63 (15.9)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Difficulty getting medical care or medications</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">312 (79.0)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">62 (15.7)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">21 (5.32)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Loved one became sick or died of COVID-19</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="middle" char="(">255 (64.6)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="middle" char="(">128 (32.4)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="middle" char="(">12 (3.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Economic impact<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Household food insecurity</td>
</tr>
<tr>
<td align="left" valign="top">No (high or marginal security level)</td>
<td align="char" valign="top" char="(">289 (73.2)</td>
</tr>
<tr>
<td align="left" valign="top">Yes (low or very low security level)</td>
<td align="char" valign="top" char="(">106 (26.8)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">More difficulty paying bills</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">265 (67.1)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">115 (29.1)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">15 (3.8)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="2">Received less money in remittances<sup>d</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">9 (2.3)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">13 (3.3)</td>
</tr>
<tr>
<td align="left" valign="top">Not applicable</td>
<td align="char" valign="top" char="(">373 (94.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>GAD-2, Generalized Anxiety Disorder 2-item; PHQ-2, Patient Health Questionnaire 2-item. <sup>a</sup>Unless specified, these outcomes indicate changes in feeling or behaviors compared to before the COVID-19 pandemic. <sup>b</sup>Includes increased use of alcohol, tobacco products, marijuana, or other substances. <sup>c</sup>These outcomes indicate changes since the COVID-19 pandemic started. <sup>d</sup>This question was only asked to participants who were receiving remittances prior to the start of the COVID-19 pandemic.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Sociodemographic, household, occupational, and health-related risk factors of COVID-19&#x2019;s negative impact on life among avocado farmworkers, Michoacan, Mexico, May 2021 (<italic>n</italic>&#x2009;=&#x2009;334).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Attribute</th>
<th align="center" valign="top" colspan="4">COVID-19&#x2019;s overall impact on life</th>
</tr>
<tr>
<th align="center" valign="top">Somewhat or extremely negative<break/>(<italic>n</italic>&#x2009;=&#x2009;262)</th>
<th align="center" valign="top">Not negative<break/>at all<break/>(<italic>n</italic>&#x2009;=&#x2009;72)</th>
<th align="center" valign="top"><italic>p</italic>-value<sup>a</sup></th>
<th align="center" valign="top">aRR (95% CI)<sup>b</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="(" colspan="5">Sex</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char="(">9 (100.0)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td align="char" valign="top" char="(">0.04</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char="(">253 (77.8)</td>
<td align="char" valign="top" char="(">72 (22.2)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Age (years)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;30</td>
<td align="char" valign="top" char="(">77 (80.2)</td>
<td align="char" valign="top" char="(">19 (19.8)</td>
<td align="char" valign="top" char="(">0.13</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;59</td>
<td align="char" valign="top" char="(">157 (80.5)</td>
<td align="char" valign="top" char="(">38 (19.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;60</td>
<td align="char" valign="top" char="(">27 (65.9)</td>
<td align="char" valign="top" char="(">14 (34.1)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">1 (50.0)</td>
<td align="char" valign="top" char="(">1 (50.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Education</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;Primary school</td>
<td align="char" valign="top" char="(">57 (64.8)</td>
<td align="char" valign="top" char="(">31 (35.2)</td>
<td align="char" valign="top" char="(">&#x003C;0.01</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Middle school completed</td>
<td align="char" valign="top" char="(">72 (79.1)</td>
<td align="char" valign="top" char="(">19 (20.9)</td>
<td/>
<td align="char" valign="top" char="(">1.18 (0.89, 1.48)</td>
</tr>
<tr>
<td align="left" valign="top">High school completed</td>
<td align="char" valign="top" char="(">59 (89.4)</td>
<td align="char" valign="top" char="(">7 (10.6)</td>
<td/>
<td align="char" valign="top" char="(">1.31 (1.06, 1.57)</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor&#x2019;s degree or technical studies completed</td>
<td align="char" valign="top" char="(">66 (91.7)</td>
<td align="char" valign="top" char="(">6 (8.3)</td>
<td/>
<td align="char" valign="top" char="(">1.33 (1.05, 1.60)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">8 (47.1)</td>
<td align="char" valign="top" char="(">9 (52.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Not married or living as married</td>
<td align="char" valign="top" char="(">61 (81.3)</td>
<td align="char" valign="top" char="(">14 (18.7)</td>
<td align="char" valign="top" char="(">0.47</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Married or living as married</td>
<td align="char" valign="top" char="(">200 (77.5)</td>
<td align="char" valign="top" char="(">58 (22.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">1 (100.0)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Annual household income</td>
</tr>
<tr>
<td align="left" valign="top">3,000</td>
<td align="char" valign="top" char="(">75 (75.0)</td>
<td align="char" valign="top" char="(">25 (25.0)</td>
<td align="char" valign="top" char="(">0.19</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;3,000-6,000</td>
<td align="char" valign="top" char="(">97 (77.0)</td>
<td align="char" valign="top" char="(">29 (23.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;6,000</td>
<td align="char" valign="top" char="(">51 (86.4)</td>
<td align="char" valign="top" char="(">8 (13.6)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">39 (79.6)</td>
<td align="char" valign="top" char="(">10 (20.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Community of residence</td>
</tr>
<tr>
<td align="left" valign="top">Tingambato</td>
<td align="char" valign="top" char="(">168 (78.3)</td>
<td align="char" valign="top" char="(">46 (21.7)</td>
<td align="char" valign="top" char="(">0.33</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Uruapan</td>
<td align="char" valign="top" char="(">28 (87.5)</td>
<td align="char" valign="top" char="(">4 (12.5)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other town<sup>c</sup></td>
<td align="char" valign="top" char="(">68 (75.6)</td>
<td align="char" valign="top" char="(">22 (24.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Household size</td>
</tr>
<tr>
<td align="left" valign="top">0&#x2013;3</td>
<td align="char" valign="top" char="(">67 (77.9)</td>
<td align="char" valign="top" char="(">19 (22.1)</td>
<td align="char" valign="top" char="(">0.87</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;4</td>
<td align="char" valign="top" char="(">62 (80.5)</td>
<td align="char" valign="top" char="(">15 (19.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">4&#x2013;13</td>
<td align="char" valign="top" char="(">125 (77.6)</td>
<td align="char" valign="top" char="(">36 (22.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">8 (80.0)</td>
<td align="char" valign="top" char="(">2 (20.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Children &#x003C;18 y living in the home</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">61 (73.5)</td>
<td align="char" valign="top" char="(">22 (26.5)</td>
<td align="char" valign="top" char="(">0.24</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">189 (79.7)</td>
<td align="char" valign="top" char="(">48 (20.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">12 (85.7)</td>
<td align="char" valign="top" char="(">2 (14.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Children &#x2264;5 y living in the home</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">134 (74.9)</td>
<td align="char" valign="top" char="(">45 (25.1)</td>
<td align="char" valign="top" char="(">0.17</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">109 (81.3)</td>
<td align="char" valign="top" char="(">25 (18.7)</td>
<td/>
<td align="char" valign="top" char="(">1.03 (0.97, 1.09)</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">19 (90.5)</td>
<td align="char" valign="top" char="(">2 (9.5)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Living with other farmworkers</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">115 (78.2)</td>
<td align="char" valign="top" char="(">32 (21.8)</td>
<td align="char" valign="top" char="(">0.98</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">139 (78.1)</td>
<td align="char" valign="top" char="(">39 (21.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">8 (88.9)</td>
<td align="char" valign="top" char="(">1 (11.1)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Household crowding</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 persons per bedroom</td>
<td align="char" valign="top" char="(">223 (79.6)</td>
<td align="char" valign="top" char="(">57 (20.4)</td>
<td align="char" valign="top" char="(">0.36</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 persons per bedroom</td>
<td align="char" valign="top" char="(">27 (73.0)</td>
<td align="char" valign="top" char="(">10 (27.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">12 (70.6)</td>
<td align="char" valign="top" char="(">5 (29.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Job title</td>
</tr>
<tr>
<td align="left" valign="top">Owner</td>
<td align="char" valign="top" char="(">66 (81.5)</td>
<td align="char" valign="top" char="(">15 (18.5)</td>
<td align="char" valign="top" char="(">0.76</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Full-time worker</td>
<td align="char" valign="top" char="(">84 (77.1)</td>
<td align="char" valign="top" char="(">25 (22.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Temporary worker<sup>d</sup></td>
<td align="char" valign="top" char="(">8 (80.0)</td>
<td align="char" valign="top" char="(">2 (20.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">104 (77.6)</td>
<td align="char" valign="top" char="(">30 (22.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Worked indoors</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">84 (74.3)</td>
<td align="char" valign="top" char="(">29 (25.7)</td>
<td align="char" valign="top" char="(">0.23</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">173 (80.1)</td>
<td align="char" valign="top" char="(">43 (19.9)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">5 (100.0)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Any COVID-19 related symptom since the pandemic started<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">87 (73.1)</td>
<td align="char" valign="top" char="(">32 (26.9)</td>
<td align="char" valign="top" char="(">0.08</td>
<td align="char" valign="top" char="(">Reference</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">175 (81.4)</td>
<td align="char" valign="top" char="(">40 (18.6)</td>
<td/>
<td align="char" valign="top" char="(">1.04 (0.97, 1.11)</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Self-reported positive COVID-19 test</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char="(">248 (77.7)</td>
<td align="char" valign="top" char="(">71 (22.3)</td>
<td align="char" valign="top" char="(">0.20</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char="(">11 (91.7)</td>
<td align="char" valign="top" char="(">1 (8.3)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">3 (100.0)</td>
<td align="char" valign="top" char="(">0 (0.0)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top" char="(" colspan="5">Vaccination status</td>
</tr>
<tr>
<td align="left" valign="top">Not vaccinated</td>
<td align="char" valign="top" char="(">218 (77.9)</td>
<td align="char" valign="top" char="(">62 (22.1)</td>
<td align="char" valign="top" char="(">0.49</td>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">Partially or fully vaccinated<sup>f</sup></td>
<td align="char" valign="top" char="(">12 (70.6)</td>
<td align="char" valign="top" char="(">5 (29.4)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
<tr>
<td align="left" valign="top">No answer</td>
<td align="char" valign="top" char="(">32 (86.5)</td>
<td align="char" valign="top" char="(">5 (13.5)</td>
<td/>
<td align="char" valign="top" char="(">--</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Missing entries were excluded from bivariate analyses. <sup>a</sup><italic>p</italic>-values were calculated using univariate binomial logistic regression models. <sup>b</sup>Adjusted RR and 95% CI were only obtained for variables with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.20 in bivariate analyses and an importance value&#x2009;&#x2265;&#x2009;0.5 in at least one of the 10 iterations in multivariable model. <sup>c</sup>This category includes the following towns (distance to Tingambato): La Escondida (28.4&#x2009;km), El Mes&#x00F3;n (22.9&#x2009;km), Angachuan (37.6&#x2009;km), Pich&#x00E1;taro (55.4&#x2009;km), Parang&#x00FC;itiro (15&#x2009;km), Ziracuaretiro (18&#x2009;km), San Angel Zurumucapio (23&#x2009;km), Nahuatzen (45&#x2009;km), Comachu&#x00E9;n (45.2&#x2009;km), Tanc&#x00ED;taro (56.1&#x2009;km), El Tarasc&#x00F3;n (Salvador Escalante 31.7&#x2009;km), Nocutzepo (Erongar&#x00ED;cuaro 49.2&#x2009;km), P&#x00E1;tzcuaro (57.4&#x2009;km). <sup>d</sup>Includes workers who are hired for specific activities such as pesticide application and harvest. <sup>e</sup>Participants were asked whether they had experienced any of the following symptoms since December 2019: fever or chills, cough, shortness of breath, fatigue, myalgia, headache, new loss of sense of smell or taste, sore throat, blocked or runny nose, nausea or vomit, diarrhea, or any other symptom. <sup>f</sup>A farmworker was considered fully vaccinated if s/he had received all recommended doses of a COVID-19 vaccine that has been authorized or approved by the Mexican Federal Commission for Protection against Sanitary Risks (COFEPRIS) or is listed for emergency use by the World Health Organization (WHO). A farmworker was considered partially vaccinated if s/he had received at least one COFEPRIS-authorized COVID-19 vaccine dose but did not complete all recommended doses of that vaccine.</p>
</table-wrap-foot>
</table-wrap>
<p>In bivariate analyses, we observed that a larger proportion of farmworkers under the age of 60 (80.2% of those under the age of 30 and 80.5% of those aged 30&#x2013;59) reported being negatively impacted by COVID-19, compared to those aged 60&#x2009;years or older (65.9%; <xref ref-type="table" rid="tab4">Table 4</xref>). Farmworkers with an educational level higher than middle school (89.4% of those who had completed high school and 91.7% of those who had a bachelor&#x2019;s degree or had completed technical studies), those with household earnings greater than $6,000 per year (86.4%), and those living with children under the age of 5 (81.3%) also reported being negatively impacted by COVID-19 more frequently than their counterparts. Lastly, in our bivariate analyses, we found that a larger proportion of farmworkers who had experienced any SARS-CoV-2 infection symptoms since the pandemic started (81.4%) or had ever tested positive for COVID-19 (91.7%) reported being negatively impacted by COVID-19, compared to farmworkers with no symptoms (73.1%) and no positive COVID-19 tests (77.7%; <xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<p>In multivariable analyses, we found that having completed high school (aRR&#x2009;=&#x2009;1.31, 95% CI: 1.06, 1.57) or having a bachelor&#x2019;s degree or technical studies (aRR&#x2009;=&#x2009;1.33, 95% CI: 1.05, 1.60) was associated with a higher risk of reporting a negative impact of the COVID-19 pandemic (<xref ref-type="table" rid="tab3">Table 4</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<title>Discussion</title>
<p>In this study of avocado farmworkers in Michoacan, no participants tested positive for current SARS-CoV-2 infection in May 2021, while 33% of unvaccinated farmworkers showed evidence of past infection (positive for IgG against SARS-CoV-2). This seroprevalence is slightly higher than the 25% noted among Guatemalan farmworkers from June 2020 to October 2021 (period that encompasses the first and second nationwide waves of new COVID-19 cases) (<xref ref-type="bibr" rid="ref29">29</xref>), but well below the 53% observed among migrants in Tijuana, Mexico, from November 2020 to April 2021 (period that encompasses Baja California&#x2019;s second wave of new COVID-19 cases) (<xref ref-type="bibr" rid="ref58">58</xref>). Differences in SARS-CoV-2 seroprevalence between studies and populations must be interpreted with caution because of variations in timing of data collection, screening approaches, and between-country heterogeneity (<xref ref-type="bibr" rid="ref59">59</xref>). Differences in routes of SARS-CoV-2 exposure could also play a role in the variability of seroprevalence estimates across studies.</p>
<p>In our study, we found that unvaccinated farmworkers who lived with other farmworkers, lived in more urban areas, and who had ever lived with someone with COVID-19 had a higher prevalence of IgG-positive SARS-CoV-2 infection. Similar findings, supporting the now well-established fact that household exposures substantially increase the risk of SARS-CoV-2 infection (<xref ref-type="bibr" rid="ref33">33</xref>), were observed in a cross-sectional study of predominantly Mexican-born and low-income farmworkers in California (<xref ref-type="bibr" rid="ref22">22</xref>). In Michoacan, we also found that farmworkers who cooked with a wood-burning stove had a lower risk of IgG positivity. This finding is unexpected, given previous research indicating that poor indoor air quality, particularly from indoor sources of air pollution such as cooking, may increase the risk of COVID-19 transmission and mortality (<xref ref-type="bibr" rid="ref60">60</xref>). Nonetheless, it is possible that farmworkers with wood-burning stoves had better ventilation in their houses, built their stoves outside their houses, or spent more time outside than those with other stove types. We observed that livelihood with children under age 5 was associated with a higher seropositivity prevalence in our bivariate, but not multivariate, analyses. Mexico experienced one of the longest school closures globally due to the COVID-19 pandemic, lasting nearly 250&#x2009;days from March to August 2020 (<xref ref-type="bibr" rid="ref61">61</xref>). As farmworkers continued to work in-person during the pandemic, it is likely that their children had to be cared for by grandparents or other relatives while schools were closed, potentially exposing them to SARS-CoV-2 in environments other that their own.</p>
<p>Consistent with findings from other studies (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref63">63</xref>), we observed an increased risk of IgG positivity among individuals with self-reported diabetes. However, only 3.3% of unvaccinated farmworkers in our study reported this medical condition, so this association must be interpreted with caution. The observed diabetes prevalence is lower than the 11.4% observed among primarily Mexican-born California farmworkers (<xref ref-type="bibr" rid="ref30">30</xref>) and the 15.7% observed among the general Mexican population (<xref ref-type="bibr" rid="ref21">21</xref>). Differences in diabetes prevalence could be partly explained by our exclusion of vaccinated farmworkers, among whom 17.9% reported diabetes and who were, on average, older (mean (SD): 54.1 (14.9) years) than those unvaccinated (36.4 (12.3) years). Nevertheless, differences could also be due to the significant proportion of unvaccinated farmworkers who lacked health insurance (54.6%) and might have undiagnosed medical conditions, such as diabetes. The mechanisms that explain the increased risk of SARS-CoV-2 infection and severity of COVID-19 among individuals with diabetes, including oxidative stress and the release of pro-inflammatory cytokines, have been widely documented (<xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref64">64</xref>).</p>
<p>We observed that the impact of the COVID-19 pandemic among avocado farmworkers extended beyond infection. For example, 66% of farmworkers reported that their lives had been negatively affected by the pandemic. Notably, only a small number of participants reported depression (9%) and anxiety (11%) symptoms in the 2&#x2009;weeks preceding the time of interview, which is lower than the prevalence reported in other Mexican populations since the COVID-19 pandemic started (<xref ref-type="bibr" rid="ref65">65</xref>, <xref ref-type="bibr" rid="ref66">66</xref>). However, it is possible that farmworkers may have underreported their anxiety and depression symptoms (<xref ref-type="bibr" rid="ref67">67</xref>, <xref ref-type="bibr" rid="ref68">68</xref>). We also observed that the COVID-19 pandemic had a substantial economic impact among vaccinated and unvaccinated farmworkers, as indicated by their reduced ability to pay bills and food insecurity. The prevalence of food insecurity among Michoacan farmworkers (27%) is lower than the 37% observed among California farmworkers in November 2020 (<xref ref-type="bibr" rid="ref33">33</xref>). The proportion of Michoacan farmworkers who experienced more difficulties paying bills since the COVID-19 pandemic started (29%) is in line with the 28% observed among California farmworkers in November 2020 (<xref ref-type="bibr" rid="ref33">33</xref>), but much lower than the 62% noted in a statewide study of farmworkers in California conducted between July 2021 and April 2022 (<xref ref-type="bibr" rid="ref34">34</xref>). Nonetheless, it is essential to recognize that comparing the experiences of farmworkers across multiple countries may not provide a reliable basis for assessment due to the significant differences in their socio-economic conditions, healthcare systems, and governmental support mechanisms.</p>
<p>To our knowledge, our study is the first to determine the prevalence of SARS-CoV-2 infection among Mexican farmworkers and to examine the impact of the COVID-19 pandemic in this vulnerable population. However, several limitations should be considered. Our analysis is cross-sectional, and our sample size is modest but consistent with figures from studies in other countries (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref69">69</xref>, <xref ref-type="bibr" rid="ref70">70</xref>). In addition, our sample was not random, which limits the generalizability of our results to the larger Mexican farmworker population and rural communities. Moreover, waning antibodies, especially among individuals who experienced mild or asymptomatic infection, may have contributed to misclassification in IgG positivity for individuals infected early in the COVID-19 pandemic (<xref ref-type="bibr" rid="ref71">71</xref>&#x2013;<xref ref-type="bibr" rid="ref73">73</xref>). Finally, our survey was self-administered, which may have led to incomplete or inaccurate data, particularly among farmworkers with lower educational levels.</p>
<p>Our findings indicate that avocado farmworkers in Michoacan have been significantly affected by the COVID-19 pandemic, both in terms of morbidity and its economic impact on their lives. Given farmworkers&#x2019; risk of repeated SARS-CoV-2 infections due to their living conditions, poor access to health care, and high prevalence of comorbidities (e.g., obesity, diabetes) that increase the risk of severe COVID-19 and long COVID (<xref ref-type="bibr" rid="ref74">74</xref>, <xref ref-type="bibr" rid="ref75">75</xref>), a multi-faceted approach is required to address their unique needs and challenges. Potential strategies for supporting farmworkers may include increasing their access to healthcare (e.g., expanding telemedicine options and mobile clinics) and providing financial and mental health support, especially for farmworkers who are unable to work due to COVID-19 or long COVID symptoms.</p>
</sec>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Boards at University of California, Berkeley and Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico (UNAM). The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>CA-A and AM had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. CA-A, MT-O, FC, AS-V, JD, BE, and AM: concept and design. CA-A, MT-O, FM-A, MR-B, DB-S, FC, AS-V, DL-C, JD, BE, and AM: acquisition, analysis, or interpretation of data. CA-A, MT-O, and AM: drafting of the manuscript. CA-A, MT-O, FM-A, MR-B, DB-S, FC, AS-V, DL-C, JD, BE, and AM: critical revision of the manuscript for important intellectual content. CA-A, FM-A, and AM: statistical analysis. CA-A, FC, AS-V, DL-C, JD, BE, and AM: obtained funding. CA-A, MT-O, MR-B, DB-S, BE, and AM: administrative, technical, or material support. CA-A and AM: supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec19">
<title>Funding</title>
<p>This work was supported by grants from the InnovaUNAM of the National Autonomous University of Mexico (UNAM) and Alianza UCMX of the University of California (UNAMUCMX01); University of California Institute for Mexico and the United States (UC MEXUS) and the Consejo Nacional de Ciencia y Tecnolog&#x00ED;a de M&#x00E9;xico (Conacyt) (CN-20-187). CA-A was supported by a Scholarship for Support for the Improvement of Academic Staff (PASPA) from the General Directorate of Academic Personnel Affairs (DGAPA) of the UNAM; and by the 2022 Fulbright Visiting Scholar Program. This publication is made possible in part by support from the Berkeley Research Impact Initiative (BRII) sponsored by the UC Berkeley Library.</p>
</sec>
<ack>
<p>We gratefully acknowledge all study participants, members of our field survey team in Michoacan (Kathia Arce Guzm&#x00E1;n, Beatriz A. Cancio Coyac, Adri&#x00E1;n E. Casta&#x00F1;eda Ochoa, Idalia D&#x00ED;az Pe&#x00F1;aloza, Anal&#x00ED;a Dom&#x00ED;nguez D&#x00ED;az, Jessica F. Gonz&#x00E1;lez Cabezas, Esteve Gudayol Ferr&#x00E9;, Sabina Jim&#x00E9;nez Lemus, Paulina Lavandera Montejano, Nohem&#x00ED; Mart&#x00ED;nez Jim&#x00E9;nez, Andrea Medina Madrid, Paulina Mendoza Sol&#x00ED;s, Lilian Pacheco Maga&#x00F1;a, Lizeth P&#x00E9;rez Camacho, Manuela Prehn Junquera, Mar&#x00ED;a S&#x00E1;nchez Monroy, and Ra&#x00FA;l Tauro), and staff at the Tingambato Local Plant Health Board (LPHB). We also acknowledge Luis Alonso Herrera-Montalvo, Emmanuel Fr&#x00ED;as, and their team (National Institute of Genomic Medicine, INMEGEN) for performing the laboratory analyses, Mauricio Hern&#x00E1;ndez-Avila (Mexican Social Security Institute, IMSS) for his administrative support, Joseph Lewnard (University of California, Berkeley) for his advice on survey questions regarding SARS-CoV-2 infection, and Katherine Kogut (University of California, Berkeley) for proofreading the manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec20">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec21">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252530/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1252530/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="fn0001">
<p><sup>1</sup>R Project for Statistical Computing, <ext-link xlink:href="https://www.r-project.org" ext-link-type="uri">https://www.r-project.org</ext-link>.</p>
</fn>
</fn-group>
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