<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2022.851984</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trends in 10-Year Predicted Risk of Cardiovascular Disease Associated With Food Insecurity, 2007&#x2013;2016</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sharedalal</surname> <given-names>Parija</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1580391/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Shah</surname> <given-names>Neal</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sreenivasan</surname> <given-names>Jayakumar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Michaud</surname> <given-names>Liana</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1630398/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sharedalal</surname> <given-names>Anmol</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kaul</surname> <given-names>Risheek</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1642150/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Panza</surname> <given-names>Julio A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Aronow</surname> <given-names>Wilbert S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cooper</surname> <given-names>Howard A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Westchester Medical Center and New York Medical College</institution>, <addr-line>Valhalla, NY</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medicine, Westchester Medical Center and New York Medical College</institution>, <addr-line>Valhalla, NY</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Medicine, St. George&#x2019;s University</institution>, <addr-line>St. George&#x2019;s</addr-line>, <country>Grenada</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ruan Kruger, North-West University, South Africa</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mansi Patil, Asha Kiran JHC Hospital, India; Vasudevan Ramachandran, Bharath Institute of Higher Education and Research, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Parija Sharedalal, <email>psharedalal@gmail.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Cardiovascular Epidemiology and Prevention, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>851984</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Sharedalal, Shah, Sreenivasan, Michaud, Sharedalal, Kaul, Panza, Aronow and Cooper.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Sharedalal, Shah, Sreenivasan, Michaud, Sharedalal, Kaul, Panza, Aronow and Cooper</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>
<title>Introduction</title>
<p>Consumption of a healthy diet improves cardiovascular (CV) risk factors and reduces the development of cardiovascular disease (CVD). Food insecure (FIS) adults often consume an unhealthy diet, which can promote obesity, type 2 diabetes mellitus (T2DM), hypertension (HTN), and hyperlipidemia (HLD). The Supplemental Nutrition Assistance Program (SNAP) is designed to combat food insecurity by increasing access to healthy foods. However, there is a paucity of data on the association of SNAP participation among FIS adults and these CVD risk factors.</p>
</sec>
<sec>
<title>Methods</title>
<p>The National Health and Nutrition Examination Survey (NHANES) is a publicly available, ongoing survey administered by the Centers for Disease Control and Prevention and the National Center for Health Statistics. We analyzed five survey cycles (2007&#x2013;2016) of adult participants who responded to the CVD risk profile questionnaire data. We estimated the burden of select CVD risk factors among the FIS population and the association with participation in SNAP.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 10,449 adult participants of the survey, 3,485 (33.3%) identified themselves as FIS. Food insecurity was more common among those who were younger, female, Hispanic, and Black. Among the FIS, SNAP recipients, when compared to non-SNAP recipients, had a lower prevalence of HLD (36.3 vs. 40.1% <italic>p</italic> = 0.02), whereas rates of T2DM, HTN, and obesity were similar. Over the 10-year survey period, FIS SNAP recipients demonstrated a reduction in the prevalence of HTN (<italic>p</italic> &#x003C; 0.001) and HLD (<italic>p</italic> &#x003C; 0.001) which was not evident among those not receiving SNAP. However, obesity decreased only among those not receiving SNAP. The prevalence of T2DM did not change over the study period in either group.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Over a 10-year period, FIS adults who received SNAP demonstrated a reduction in the prevalence of HTN and HLD, which was not seen among those not receiving SNAP. However, the prevalence of obesity and T2DM did not decline among SNAP recipients, suggesting that additional approaches are required to impact these important CVD risk factors.</p>
</sec>
</abstract>
<kwd-group>
<kwd>prevention</kwd>
<kwd>food insecuirty</kwd>
<kwd>nutrition</kwd>
<kwd>cardiovascular health</kwd>
<kwd>cardiovascular prevention</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="7"/>
<word-count count="4724"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Cardiovascular disease (CVD) is a major global health challenge, and was responsible for 23% of total deaths in the United States (US) in 2017 (<xref ref-type="bibr" rid="B1">1</xref>). Consumption of a healthy and well-balanced diet is associated with better cardiovascular (CV) outcomes and has been demonstrated to improve CVD risk factors through decrease in body weight and various cardiometabolic pathways (<xref ref-type="bibr" rid="B2">2</xref>). Current guidelines emphasize a diet composed of fruits, vegetables, legumes, fish, nuts, whole grains, and fibers along with a reduction in sodium, processed meats, sugar-sweetened beverages (SSB), excess calories and refined foods (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The US Department of Agriculture (USDA) defines food insecurity as economic and social conditions associated with limited and uncertain access to food (<xref ref-type="bibr" rid="B4">4</xref>). In 2018, 37.2 million Americans lived in food insecure (FIS) households (<xref ref-type="bibr" rid="B4">4</xref>). Inadequate financial resources, the high cost of food, and competing priorities often cause adults with food insecurity to consume an unhealthy and low quality diet (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). FIS adults often forgo purchasing specialized diets for medical conditions such as hypertension (HTN) or type 2 diabetes mellitus (T2DM) in favor of purchasing low-cost foods that are often energy dense but nutrient poor (<xref ref-type="bibr" rid="B8">8</xref>). As a result, food insecurity can lead to worsening of CVD risk factors including T2DM, HTN, hyperlipidemia (HLD), and obesity defined as BMI &#x2265; 30 kg/m<sup>2</sup> (<xref ref-type="bibr" rid="B9">9</xref>), thus contributing to poor CV health.</p>
<p>The Supplemental Nutrition Assistance Program (SNAP, formerly called Food Stamps Program) is the largest federal food assistance program available for low-income households, and is designed to directly combat food insecurity (<xref ref-type="bibr" rid="B10">10</xref>). SNAP eligibility is based on household income, specifically targeting low income Americans living under the poverty level (<xref ref-type="bibr" rid="B11">11</xref>). Access to SNAP can potentially address high rates of CVD risk factors in FIS adults by increasing access to healthy foods. While few studies have shown a link between CVD risk factors and food insecurity (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>), there is a paucity of data on the association of SNAP participation amongst FIS adults and CVD risk factors. Understanding this relationship is important to determine whether any future expansions, additions or modifications to the SNAP program are needed to better serve the FIS population in the United States (US). We designed this study to investigate the prevalence of CV risk factors among the FIS population, and analyze the association between participation in SNAP and the change in CVD risk factors over a 10-year study period.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Data Source</title>
<p>The National Health and Nutrition Examination Survey (NHANES) is an ongoing cross-sectional survey administered by the Centers for Disease Control and Prevention (CDC) and the National Center for Health Statistics (NCHS). It is designed to describe the health and nutritional status of the non-institutionalized population of the United States (<xref ref-type="bibr" rid="B14">14</xref>). The NHANES database is publicly available for researchers, and the data are released in 2-year cycles. All NHANES participants complete an English or Spanish language questionnaire during a home interview. Participants then undergo a standardized physical examination (including height, weight).</p>
</sec>
<sec id="S2.SS2">
<title>Food Security</title>
<p>The food security module within NHANES is a questionnaire developed by the USDA to measure adult food security over the 12 months preceding the survey. Adult food security is categorized by NHANES as: full food security, marginal food security, low food security, and very low food security. In this study, we considered adults in the full food security category to be food secure (FS) and those categorized as having marginal, low and very low food security to be FIS.</p>
</sec>
<sec id="S2.SS3">
<title>Study Population</title>
<p>We analyzed 10-year data from five survey cycles completed by adult participants &#x2265; 18 years of age, from months of January to December (2007&#x2013;2008, 2009&#x2013;2010, 2011&#x2013;2012, 2013&#x2013;2014, and 2014&#x2013;2016). A total of 10,449 adults who participated in the NHANES surveys from 2007 to 2016 were included in the full analytic sample. From this cohort, 6,964 adults were identified as FS (66.6%), and 3,485 adults were identified as FIS (33.3%). The FIS adult participants were further categorized into those receiving SNAP benefits (63.3%) and those not receiving SNAP benefits (36.6%).</p>
<p>The presence or absence of each CVD risk factor (T2DM, HTN, HLD, obesity) was determined based on the response to the survey question: &#x201C;Have you ever been diagnosed by a physician with this risk factor?&#x201D; Respondents who were classified as SNAP participants, had accepted SNAP benefits in the 12 months preceding the survey.</p>
</sec>
<sec id="S2.SS4">
<title>Statistical Analysis</title>
<p>All analyses were performed using SPSS, version 26 (IBM, Chicago). Stratified weighted data were utilized to obtain nationwide estimates. Continuous variables were reported as mean &#x00B1; standard deviation and compared using the Student <italic>t</italic>-test, and the categorical variables were reported as proportions and compared using the Chi-square test. We used multiple logistic regression analysis to determine temporal trends with survey year as the independent variable and the CV risk factor of interest as the dependent variable. The yearly prevalence of various CV risk factors among the study cohorts was reported along with P-<italic>trend.</italic></p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<p>A total of 10,449 adults (mean age 53.16 &#x00B1; 16.9, 41.6% females) who participated in the NHANES surveys from 2007 to 2016 were included in the full analytic sample. From this cohort, 6,964 adults were identified as FS (66.6%), and 3,485 adults were identified as FIS (33.3%). The prevalence of CVD risk factors in the total population, and according to food security status is shown in <xref ref-type="table" rid="T1">Table 1</xref>. CVD risk factors were highly prevalent among all participants. FIS adults were younger than those who were FS. The proportion of females (<xref ref-type="table" rid="T1">Table 1</xref>) and self-identified Blacks and Hispanics was higher among FIS participants than FS participants of the survey (<xref ref-type="fig" rid="F1">Figure 1</xref>). The prevalence of HLD and obesity were significantly higher among those with FIS, whereas rates of HTN and T2DM were similar in the two groups.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Baseline characteristics of the total adult participants of the survey, 2007&#x2013;2016<sup><xref ref-type="table-fn" rid="t1fna">a</xref>,<xref ref-type="table-fn" rid="t1fnb">b</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Population characteristics</td>
<td valign="top" align="center">Total patients <italic>n</italic> = 10, 449 (%)</td>
<td valign="top" align="center">FS, <italic>n</italic> = 6, 964 (%)</td>
<td valign="top" align="center">FIS, <italic>n</italic> = 3, 485 (%)</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">53.16 &#x00B1; 16.9</td>
<td valign="top" align="center">55.75 &#x00B1; 16.8</td>
<td valign="top" align="center">48.0 &#x00B1; 16.1</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">4581 (43.8)</td>
<td valign="top" align="center">3085 (44.3)</td>
<td valign="top" align="center">1496 (42.9)</td>
<td valign="top" align="center">0.183</td>
</tr>
<tr>
<td valign="top" align="left">HLD</td>
<td valign="top" align="center">4162 (39.8)</td>
<td valign="top" align="center">3048 (43.8)</td>
<td valign="top" align="center">1114 (31.9)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">T2DM</td>
<td valign="top" align="center">1638 (15.7)</td>
<td valign="top" align="center">1060 (15.2)</td>
<td valign="top" align="center">578 (16.5)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">Obesity<xref ref-type="table-fn" rid="t1fnc"><sup>c</sup></xref></td>
<td valign="top" align="center">4057 (38.8)</td>
<td valign="top" align="center">2549 (36.6)</td>
<td valign="top" align="center">1508 (43.3)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">4354 (41.6)</td>
<td valign="top" align="center">2776 (39.9)</td>
<td valign="top" align="center">1578 (45.3)</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Race</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">5192 (49.7)</td>
<td valign="top" align="center">3787 (54.3)</td>
<td valign="top" align="center">1405 (40.3)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Black</td>
<td valign="top" align="center">2213 (21.2)</td>
<td valign="top" align="center">1353 (19.4)</td>
<td valign="top" align="center">860 (24.7)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Hispanic/Mexican</td>
<td valign="top" align="center">2165 (20.7)</td>
<td valign="top" align="center">1206 (17.3)</td>
<td valign="top" align="center">959 (27.5)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">879 (8.4)</td>
<td valign="top" align="center">618 (8.9)</td>
<td valign="top" align="center">261 (7.4)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>HTN, hypertension; HLD, hyperlipedemia; T2DM, type 2 diabetes mellitus; SNAP, Supplement Nutrition Assistance Program; FS, Food Secure; FIS, Food Insecure. All relationships are statistically significant for p &#x003C; 0.001. Categorical variables are reported as proportions and compared using the Chi-square test. Continuous variables such as age is reported as mean &#x00B1; standard deviation and compared using the Student t-test.</italic></p></fn>
<fn id="t1fna"><p><italic><sup>a</sup>Data from the National Health and Nutrition Examination Survey.</italic></p></fn>
<fn id="t1fnb"><p><italic><sup>b</sup>Data were weighted to be nationally representative.</italic></p></fn>
<fn id="t1fnc"><p><italic><sup>c</sup>Obesity defined as BMI (calculated as weight in kilograms divided by height in meters squared) &#x2265; 30 kg/m.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Food insecurity in the total population categorized by ethnicity/race.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-851984-g001.tif"/>
</fig>
<p>Characteristics of the FIS participants according to receipt of SNAP benefits are described in <xref ref-type="table" rid="T2">Table 2</xref>. Those receiving SNAP comprised 63.4% of the FIS population. SNAP participants were younger and more likely to be female and non-white. Among the FIS, higher proportion of self-identified whites (41.8%), participated in SNAP compared to self-identified Hispanics/Mexicans (23.2%) (<xref ref-type="fig" rid="F2">Figure 2</xref>). As described in <xref ref-type="table" rid="T2">Table 2</xref>, FIS participants who received SNAP had a lower prevalence of HLD compared to those who did not receive SNAP (36.3 vs. 40.1%, <italic>p</italic> = 0.02). There was no significant difference in the prevalence of T2DM, HTN, or obesity between FIS participants receiving SNAP and FIS participants not receiving SNAP.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Baseline characteristics of the adult food insecure participants of the survey, 2007&#x2013;2016<sup><xref ref-type="table-fn" rid="t2fna">a</xref>&#x2013;<xref ref-type="table-fn" rid="t2fnb">b</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Population characteristics</td>
<td valign="top" align="center">Total FIS participants, <italic>n</italic> = 3, 478 (%)</td>
<td valign="top" align="center">Receiving SNAP, <italic>n</italic> = 2205 (%)</td>
<td valign="top" align="center">Not receiving SNAP, <italic>n</italic> = 1273 (%)</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">47.99 &#x00B1; 16.1</td>
<td valign="top" align="center">46.55 &#x00B1; 15.67</td>
<td valign="top" align="center">50.49 &#x00B1; 16.5</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">1492 (42.9)</td>
<td valign="top" align="center">956 (43.3)</td>
<td valign="top" align="center">536 (42.1)</td>
<td valign="top" align="center">0.473</td>
</tr>
<tr>
<td valign="top" align="left">HLD</td>
<td valign="top" align="center">1311 (37.7)</td>
<td valign="top" align="center">800 (36.3)</td>
<td valign="top" align="center">511 (40.1)</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">T2DM</td>
<td valign="top" align="center">576 (16.6)</td>
<td valign="top" align="center">346 (15.7)</td>
<td valign="top" align="center">230 (18.0)</td>
<td valign="top" align="center">0.069</td>
</tr>
<tr>
<td valign="top" align="left">Obesity<xref ref-type="table-fn" rid="t2fnc"><sup>c</sup></xref></td>
<td valign="top" align="center">1503 (43.2)</td>
<td valign="top" align="center">970 (44)</td>
<td valign="top" align="center">533 (41.9)</td>
<td valign="top" align="center">0.224</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">1574 (45.2)</td>
<td valign="top" align="center">1079 (48.9)</td>
<td valign="top" align="center">495 (38.9)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Race</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">1402 (40.3)</td>
<td valign="top" align="center">921 (41.8)</td>
<td valign="top" align="center">481 (37.8)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Black</td>
<td valign="top" align="center">858 (24.7)</td>
<td valign="top" align="center">624 (28.3)</td>
<td valign="top" align="center">234 (18.4)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Hispanic/Mexican</td>
<td valign="top" align="center">957 (27.5)</td>
<td valign="top" align="center">511 (23.2)</td>
<td valign="top" align="center">446 (35.0)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">261 (7.5)</td>
<td valign="top" align="center">149 (6.7)</td>
<td valign="top" align="center">112 (8.8)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>HTN, hypertension; HLD, hyperlipedemia; T2DM, type 2 diabetes mellitus; SNAP, Supplement Nutrition Assistance Program; FIS, Food Insecure. Continuous variables such as age is reported as mean &#x00B1; standard deviation and compared using the Student t-test; categorical variables are reported as proportions and compared using the Chi-square test. All relationships are statistically significant for p &#x003C; 0.001.</italic></p></fn>
<fn id="t2fna"><p><italic><sup>a</sup>Data from the National Health and Nutrition Examination Survey.</italic></p></fn>
<fn id="t2fnb"><p><italic><sup>b</sup>Data were weighted to be nationally representative.</italic></p></fn>
<fn id="t2fnc"><p><italic><sup>c</sup>Obesity defined as BMI (calculated as weight in kilograms divided by height in meters squared) &#x2265; 30 kg/m.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>SNAP participation in FIS population categorized by ethnicity/race.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-851984-g002.tif"/>
</fig>
<p>Among all NHANES participants, the prevalence of HTN and HLD decreased over the 10-year study period (<xref ref-type="table" rid="T3">Table 3</xref>). Rates of T2DM and obesity remained unchanged over the study period in the total population (<xref ref-type="table" rid="T3">Table 3</xref>). When analyzed according to food security status, similar trends were seen in both FS and FIS groups (<xref ref-type="table" rid="T4">Table 4</xref>). The prevalence of HTN and HLD showed statistically significant decrease over the study period in both FS and FIS groups (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Trends of CVD risk factors of the total adult participants of the survey, 2007&#x2013;2016<sup><xref ref-type="table-fn" rid="t3fna">a</xref>&#x2013;<xref ref-type="table-fn" rid="t3fnb">b</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">2007&#x2013;2008 <italic>n</italic> = 1839 (%)</td>
<td valign="top" align="center">2009&#x2013;2010 <italic>n</italic> = 1850 (%)</td>
<td valign="top" align="center">2011&#x2013;2012 <italic>n</italic> = 2161 (%)</td>
<td valign="top" align="center">2013&#x2013;2014 <italic>n</italic> = 2404 (%)</td>
<td valign="top" align="center">2015&#x2013;2016 <italic>n</italic> = 2195 (%)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">884 (48.1)</td>
<td valign="top" align="center">920 (49.7)</td>
<td valign="top" align="center">880 (40.7)</td>
<td valign="top" align="center">988 (41.4)</td>
<td valign="top" align="center">909 (41.4)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">T2DM</td>
<td valign="top" align="center">309 (16.8)</td>
<td valign="top" align="center">316 (17.1)</td>
<td valign="top" align="center">316 (14.6)</td>
<td valign="top" align="center">332 (13.8)</td>
<td valign="top" align="center">365 (16.6)</td>
<td valign="top" align="center">0.173</td>
</tr>
<tr>
<td valign="top" align="left">HLD</td>
<td valign="top" align="center">909 (49.4)</td>
<td valign="top" align="center">890 (48.1)</td>
<td valign="top" align="center">821 (38)</td>
<td valign="top" align="center">904 (37.6)</td>
<td valign="top" align="center">838 (38.2)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Obesity<xref ref-type="table-fn" rid="t3fnc"><sup>c</sup></xref></td>
<td valign="top" align="center">718 (39)</td>
<td valign="top" align="center">786 (42.5)</td>
<td valign="top" align="center">764 (35.4)</td>
<td valign="top" align="center">896 (37.3)</td>
<td valign="top" align="center">893 (40.7)</td>
<td valign="top" align="center">0.649</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>HTN, hypertension; HLD, hyperlipedemia; T2DM, type 2 diabetes mellitus; BMI, Body Mass Index; CVD, cardiovascular disease. Multiple logistic regression analysis was used to determine temporal trends with survey year as the independent variable and the CVD risk factor of interest as the dependent variable. All relationships are statistically significant for p &#x003C; 0.001.</italic></p></fn>
<fn id="t3fna"><p><italic><sup>a</sup>Data from the National Health and Nutrition Examination Survey.</italic></p></fn>
<fn id="t3fnb"><p><italic><sup>b</sup>Data were weighted to be nationally representative.</italic></p></fn>
<fn id="t3fnc"><p><italic><sup>c</sup>Obesity defined as BMI (calculated as weight in kilograms divided by height in meters squared) &#x2265; 30 kg/m.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Trends in CVD risk factors of adult food insecure participants of the survey, 2007&#x2013;2016<sup><xref ref-type="table-fn" rid="t4fna">a</xref>,<xref ref-type="table-fn" rid="t4fnb">b</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td/>
<td valign="top" align="center">2007&#x2013;2008 <italic>n</italic> = 1418 (%)</td>
<td valign="top" align="center">2009&#x2013;2010 <italic>n</italic> = 1320 (%)</td>
<td valign="top" align="center">2011&#x2013;2012 <italic>n</italic> = 1392 (%)</td>
<td valign="top" align="center">2013&#x2013;2014 <italic>n</italic> = 1572 (%)</td>
<td valign="top" align="center">2015&#x2013;2016 <italic>n</italic> = 1262 (%)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">FS</td>
<td valign="top" align="center">678, (47.8)</td>
<td valign="top" align="center">649 (49.2)</td>
<td valign="top" align="center">576 (41.4)</td>
<td valign="top" align="center">664 (42.2)</td>
<td valign="top" align="center">518 (41)</td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">FIS</td>
<td valign="top" align="center">206 (48.9)</td>
<td valign="top" align="center">271 (51.5)</td>
<td valign="top" align="center">304 (39.5)</td>
<td valign="top" align="center">324 (38.9)</td>
<td valign="top" align="center">391 (41.9)</td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">T2DM</td>
<td valign="top" align="center">FS</td>
<td valign="top" align="center">233 (16.4)</td>
<td valign="top" align="center">221 (16.7)</td>
<td valign="top" align="center">194 (13.9)</td>
<td valign="top" align="center">222 (14.1)</td>
<td valign="top" align="center">190 (15.0)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">FIS</td>
<td valign="top" align="center">76 (18.0)</td>
<td valign="top" align="center">95 (17.9)</td>
<td valign="top" align="center">122 (15.9)</td>
<td valign="top" align="center">110 (13.2)</td>
<td valign="top" align="center">175 (18.7)</td>
<td valign="top" align="center">0.914</td>
</tr>
<tr>
<td valign="top" align="left">HLD</td>
<td valign="top" align="center">FS</td>
<td valign="top" align="center">701 (49.4)</td>
<td valign="top" align="center">630 (47.7)</td>
<td valign="top" align="center">559 (40.1)</td>
<td valign="top" align="center">646 (41.1)</td>
<td valign="top" align="center">512 (40.5)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">FIS</td>
<td valign="top" align="center">208 (49.4)</td>
<td valign="top" align="center">260 (49.0)</td>
<td valign="top" align="center">262 (34.0)</td>
<td valign="top" align="center">258 (31.0)</td>
<td valign="top" align="center">326 (34.9)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">Obesity<xref ref-type="table-fn" rid="t4fnc"><sup>c</sup></xref></td>
<td valign="top" align="center">FS</td>
<td valign="top" align="center">527 (37.1)</td>
<td valign="top" align="center">530 (40.1)</td>
<td valign="top" align="center">443 (31.8)</td>
<td valign="top" align="center">557 (35.4)</td>
<td valign="top" align="center">492 (38.9)</td>
<td valign="top" align="center">0.708</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">FIS</td>
<td valign="top" align="center">191 (45.4)</td>
<td valign="top" align="center">256 (48.3)</td>
<td valign="top" align="center">321 (41.7)</td>
<td valign="top" align="center">339 (40.7)</td>
<td valign="top" align="center">401 (42.9)</td>
<td valign="top" align="center">0.071</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>HTN, hypertension; HLD, hyperlipedemia; T2DM, type 2 diabetes mellitus; SNAP, Supplement Nutrition Assistance Program; FS, Food Secure; FIS, Food Insecure; CVD, cardiovascular disease. Multiple logistic regression analysis is used to determine temporal trends with survey year as the independent variable and the CV risk factor of interest as the dependent variable. All relationships are statistically significant for p &#x003C; 0.001.</italic></p></fn>
<fn id="t4fna"><p><italic><sup>a</sup>Data from the National Health and Nutrition Examination Survey.</italic></p></fn>
<fn id="t4fnb"><p><italic><sup>b</sup>Data were weighted to be nationally representative.</italic></p></fn>
<fn id="t4fnc"><p><italic><sup>c</sup>Obesity defined as BMI (calculated as weight in kilograms divided by height in meters squared) &#x2265; 30 kg/m.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>When FIS group was further analyzed according to participation in SNAP benefits, FIS SNAP participants demonstrated a significant reduction in the prevalence of HTN (<italic>p</italic> &#x003C; 0.001) and HLD (<italic>p</italic> &#x003C; 0.001) over the study period (<xref ref-type="table" rid="T5">Table 5</xref>). No significant change was noted in the prevalence of T2DM or obesity over 10 years (<xref ref-type="table" rid="T5">Table 5</xref>). Among the non-SNAP participants, HLD decreased significantly (<italic>p</italic> = 0.007) but HTN did not (<xref ref-type="table" rid="T5">Table 5</xref>). Remarkably, obesity rates decreased significantly only in the group not receiving SNAP (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Trends in CVD risk factors of adult food insecure participants of the survey, categorized by SNAP participation, 2007&#x2013;2016 <sup><xref ref-type="table-fn" rid="t5fna">a</xref>&#x2013;<xref ref-type="table-fn" rid="t5fnb">b</xref></sup>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Column 1</td>
<td valign="top" align="center">2007-2008 <italic>n</italic> = 219 (%)</td>
<td valign="top" align="center">2009&#x2013;2010 <italic>n</italic> = 296 (%)</td>
<td valign="top" align="center">2011&#x2013;2012 <italic>n</italic> = 461 (%)</td>
<td valign="top" align="center">2013&#x2013;2014 <italic>n</italic> = 558 (%)</td>
<td valign="top" align="center">2015&#x2013;2016 <italic>n</italic> = 671 (%)</td>
<td valign="top" align="center"><italic>p</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">SNAP</td>
<td valign="top" align="center">113 (51.6)</td>
<td valign="top" align="center">157 (53.0)</td>
<td valign="top" align="center">187 (40.6)</td>
<td valign="top" align="center">218 (39.0)</td>
<td valign="top" align="center">281 (48.9)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">NO SNAP</td>
<td valign="top" align="center">93 (46)</td>
<td valign="top" align="center">114 (48.7)</td>
<td valign="top" align="center">113 (37.4)</td>
<td valign="top" align="center">106 (38.8)</td>
<td valign="top" align="center">110 (41.9)</td>
<td valign="top" align="center">0.087</td>
</tr>
<tr>
<td valign="top" align="left">T2DM</td>
<td valign="top" align="center">SNAP</td>
<td valign="top" align="center">34 (15.5)</td>
<td valign="top" align="center">56 (18.9)</td>
<td valign="top" align="center">73 (15.8)</td>
<td valign="top" align="center">75 (13.4)</td>
<td valign="top" align="center">108 (16.0)</td>
<td valign="top" align="center">0.476</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">NO SNAP</td>
<td valign="top" align="center">42 (20.8)</td>
<td valign="top" align="center">39 (16.7)</td>
<td valign="top" align="center">47 (15.6)</td>
<td valign="top" align="center">35 (12.8)</td>
<td valign="top" align="center">67 (25.6)</td>
<td valign="top" align="center">0.354</td>
</tr>
<tr>
<td valign="top" align="left">HLD</td>
<td valign="top" align="center">SNAP</td>
<td valign="top" align="center">108 (49.3)</td>
<td valign="top" align="center">154 (52.0)</td>
<td valign="top" align="center">158 (34.3)</td>
<td valign="top" align="center">157 (28.1)</td>
<td valign="top" align="center">223 (33.2)</td>
<td valign="top" align="center">&#x003C; 0.00</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">NO SNAP</td>
<td valign="top" align="center">100 (49.5)</td>
<td valign="top" align="center">106 (45.3)</td>
<td valign="top" align="center">102 (33.8)</td>
<td valign="top" align="center">100 (36.6)</td>
<td valign="top" align="center">103 (39.3)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Obesity<xref ref-type="table-fn" rid="t5fnc"><sup>c</sup></xref></td>
<td valign="top" align="center">SNAP</td>
<td valign="top" align="center">97 (44.2)</td>
<td valign="top" align="center">143 (48.3)</td>
<td valign="top" align="center">190 (41.2)</td>
<td valign="top" align="center">230 (41.2)</td>
<td valign="top" align="center">310 (46.2)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">NO SNAP</td>
<td valign="top" align="center">94 (46.5)</td>
<td valign="top" align="center">113 (48.3)</td>
<td valign="top" align="center">126 (41.7)</td>
<td valign="top" align="center">109 (39.9)</td>
<td valign="top" align="center">91 (34.7)</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>HTN, hypertension; HLD, hyperlipedemia; T2DM, type 2 diabetes mellitus; SNAP, Supplement Nutrition Assistance Program; CVD, cardiovascular disease. Multiple logistic regression analysis is used to determine temporal trends with survey year as the independent variable and the CV risk factor of interest as the dependent variable. All relationships are statistically significant for p &#x003C; 0.001.</italic></p></fn>
<fn id="t5fna"><p><italic><sup>a</sup>Data from the National Health and Nutrition Examination Survey.</italic></p></fn>
<fn id="t5fnb"><p><italic><sup>b</sup>Data were weighted to be nationally representative.</italic></p></fn>
<fn id="t5fnc"><p><italic><sup>c</sup>Obesity defined as BMI (calculated as weight in kilograms divided by height in meters squared) &#x2265; 30 kg/m.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Our study provides important findings on the prevalence of CVD risk factors among FIS adults in the United States and the association with participation in SNAP.</p>
<p>The principal determinant of obesity and other cardiometabolic diseases is lifestyle, of which food habit is a main component (<xref ref-type="bibr" rid="B15">15</xref>). In our study, we found that the prevalence of obesity among FIS adults was higher compared to FS adults. Additionally, FIS SNAP participants did not show an improvement in the prevalence of obesity over 10 years. An interesting cross-sectional analysis by Myers et al. (<xref ref-type="bibr" rid="B16">16</xref>) from years 1999 to 2016 shows that prevalence of food insecurity has increased over the study period. Additionally, the study found that obese individuals had higher reports of food insecurity. Our study did not show statistically significant difference in prevalence of T2DM between FS and FIS groups. Similar prior studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>) however have shown association of food insecurity with poor glycemic and overall metabolic control in adults. Further studies are needed that examine association between food insecurity and CVD risk factors. Specific population subgroup analysis based on ethnicity, sex, and other social variables including economic, education level, geographic location, and marital status, can help identify factors which may reduce prevalence of both food insecurity and obesity in the long term.</p>
<p>Supplemental Nutrition Assistance Program is a federal program which offers financial assistance to eligible people, and is designed to strengthen food and nutritional security. Although previous reports (<xref ref-type="bibr" rid="B19">19</xref>) demonstrated that SNAP alleviates food insecurity and improves dietary quality, SNAP participants may in fact have lower quality diet than non-SNAP participants (<xref ref-type="bibr" rid="B20">20</xref>). While previous studies have shown that SNAP participation is effective in increasing intake of caloric and nutritious foods, SNAP participants overall do not meet the key recommended nutrition guidelines in daily food habits (<xref ref-type="bibr" rid="B20">20</xref>). Greater emphasis is needed to improve the diet quality, and subsequently the CV health of SNAP participants. Further, health care providers should be trained to screen for food security and have knowledge on how to address this topic with their patients.</p>
<p>There was a significant downward trend in the prevalence of HTN and HLD among the FIS SNAP participants over 10 years. Unhealthy diet is one of the top contributors for worsening CVD and associated risk factors (<xref ref-type="bibr" rid="B21">21</xref>). SNAP improves access of nutritionally adequate foods, and therefore has the capacity to influence household wellbeing beyond just nutrition and hunger, by directly impacting health outcomes of participants (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Despite this favorable trend in HTN and HLD in our study, prior studies have shown disparities in the diet quality between SNAP participants and the high income population (<xref ref-type="bibr" rid="B22">22</xref>). United States fruit and vegetable consumption in the low-income population remains below recommended levels (<xref ref-type="bibr" rid="B23">23</xref>). SNAP-Ed program is a USDA program which promotes healthier eating choices with a limited budget through education and awareness (<xref ref-type="bibr" rid="B24">24</xref>). The education programs, national campaigns from groups like American Heart Association (AHA) (<xref ref-type="bibr" rid="B25">25</xref>), and increase in public awareness on nutrition have shown an improvement in diet components of SNAP participants, including increase in whole grain, fruits, vegetables and decrease in SSB consumption (<xref ref-type="bibr" rid="B26">26</xref>). SNAP benefits are critical for many FIS low income families. Along with improving public education on nutrition, urgent reform and policy changes at state and local level that promote and support a healthier diet are needed. Mozaffarian and colleagues (<xref ref-type="bibr" rid="B27">27</xref>) who studied a model evaluating one such possible policy disincentivizing unhealthy food purchases, and incentivizing healthy food purchases including fruits and vegetables, noted a significant decrease in CV deaths and substantial cost benefits. More public health research assisting SNAP and other similar federal programs improving dietary quality of the participants is needed.</p>
<p>Our study has several limitations. First, as with all observational studies, our study cannot prove direct causality. Second, our data also does not allow for long-term assessment in SNAP participation and cardiovascular outcomes. Food security, depending on the adequacy of food, can wax and wane. As such, an individual&#x2019;s level of food security, and therefore SNAP participation may change over time. The level of food security over time is not measured in our data, which focuses on the previous 12-months. Third, our analysis is based on the self-reported presence or absence of CVD risk factors, rather than actual measurement of these risk factors. Therefore, some misclassification is possible. Fourth, we were unable to exclude participants with established CVD, as the survey does not contain this information. Finally, NHANES only assesses responders&#x2019; food insecurity over the last 12 months before survey participation, and thus we were not able to assess long-term food security levels amongst survey participants.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>Ready access to guideline-recommended nutrient intake remains a challenge in the United States. Our study shows the favorable trends in the prevalence of HTN and HLD among FIS SNAP participants over a 10 year period. Our study also highlights the persistence of high levels of T2DM and obesity in the adult FIS population. These findings support the need for continuing efforts toward promoting a sustainable, healthy diet among the low-income population and the need to further reduce the health disparities caused by food insecurity.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: NHANES, <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/index.htm">https://www.cdc.gov/nchs/nhanes/index.htm</ext-link>.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>PS designed and directed this study and wrote the manuscript. HC, JP, and WA provided conceptual and technical guidance. NS and JS provided guidance with statistical analysis for this study. RK, LM, and AS provided support with literature review and editing and background researching the topic of food insecurity. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<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="pudiscl1" 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>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kochanek</surname> <given-names>KD</given-names></name> <name><surname>Murphy</surname> <given-names>SL</given-names></name> <name><surname>Xu</surname> <given-names>J</given-names></name> <name><surname>Arias</surname> <given-names>E.</given-names></name></person-group> <article-title>Deaths: final data for 2017.</article-title> <source><italic>Natl Vital Stat Rep.</italic></source> (<year>2019</year>) <volume>68</volume>:<fpage>1</fpage>&#x2013;<lpage>77</lpage>.</citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>E</given-names></name> <name><surname>Malik</surname> <given-names>VS</given-names></name> <name><surname>Hu</surname> <given-names>FB.</given-names></name></person-group> <article-title>Cardiovascular disease prevention by diet modification: JACC Health Promotion Series.</article-title> <source><italic>J Am Coll Cardiol.</italic></source> (<year>2018</year>) <volume>72</volume>:<fpage>914</fpage>&#x2013;<lpage>26</lpage>.</citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arnett</surname> <given-names>DK</given-names></name> <name><surname>Blumenthal</surname> <given-names>RS</given-names></name> <name><surname>Albert</surname> <given-names>MA</given-names></name> <name><surname>Buroker</surname> <given-names>AB</given-names></name> <name><surname>Goldberger</surname> <given-names>ZD</given-names></name> <name><surname>Hahn</surname> <given-names>EJ</given-names></name><etal/></person-group> <article-title>2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.</article-title> <source><italic>J Am Coll Cardiol.</italic></source> (<year>2019</year>) <volume>74</volume>:<fpage>e177</fpage>&#x2013;<lpage>232</lpage>.</citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Coleman-Jensen</surname> <given-names>A</given-names></name> <name><surname>Rabbitt</surname> <given-names>MP</given-names></name> <name><surname>Gregory</surname> <given-names>CA</given-names></name> <name><surname>Singh</surname> <given-names>A.</given-names></name></person-group> <source><italic>Household Food Security in the United States in 2018.</italic></source> <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>U.S. Department of Agriculture</publisher-name> (<year>2019</year>).</citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rose</surname> <given-names>D</given-names></name> <name><surname>Oliveira</surname> <given-names>V.</given-names></name></person-group> <article-title>Nutrient intakes of individuals from food-insufficient households in the United States.</article-title> <source><italic>Am J Public Health.</italic></source> (<year>1997</year>) <volume>87</volume>:<fpage>1956</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.2105/ajph.87.12.1956</pub-id> <pub-id pub-id-type="pmid">9431283</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mello</surname> <given-names>JA</given-names></name> <name><surname>Gans</surname> <given-names>KM</given-names></name> <name><surname>Risica</surname> <given-names>PM</given-names></name> <name><surname>Kirtania</surname> <given-names>U</given-names></name> <name><surname>Strolla</surname> <given-names>LO</given-names></name> <name><surname>Fournier</surname> <given-names>L.</given-names></name></person-group> <article-title>How is food insecurity associated with dietary behaviors? An analysis with low-income, ethnically diverse participants in a nutrition intervention study.</article-title> <source><italic>J Am Diet Assoc.</italic></source> (<year>2010</year>) <volume>110</volume>:<fpage>1906</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.jada.2010.09.011</pub-id> <pub-id pub-id-type="pmid">21111099</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ford</surname> <given-names>ES.</given-names></name></person-group> <article-title>Food security and cardiovascular disease risk among adults in the United States: findings from the National Health and Nutrition Examination Survey, 2003-2008.</article-title> <source><italic>Prev Chronic Dis.</italic></source> (<year>2013</year>) <volume>10</volume>:<fpage>E202</fpage>. <pub-id pub-id-type="doi">10.5888/pcd10.130244</pub-id> <pub-id pub-id-type="pmid">24309090</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morales</surname> <given-names>ME</given-names></name> <name><surname>Berkowitz</surname> <given-names>SA.</given-names></name></person-group> <article-title>The relationship between food insecurity, dietary patterns, and obesity.</article-title> <source><italic>Curr Nutr Rep.</italic></source> (<year>2016</year>) <volume>5</volume>:<fpage>54</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1007/s13668-016-0153-y</pub-id> <pub-id pub-id-type="pmid">29955440</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><collab>Centers for Disease Control and Prevention [CDC].</collab> <source><italic>Defining Adult Overweight &#x0026; Obesity.</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/obesity/adult/defining.html#:~:text=Adult%20Body%20Mass%20Index&#x0026;text=If%20your%20BMI%20is%20less,falls%20within%20the%20obesity%20range">https://www.cdc.gov/obesity/adult/defining.html#:~:text=Adult%20Body%20Mass%20Index&#x0026;text=If%20your%20BMI%20is%20less,falls%20within%20the%20obesity%20range</ext-link> <comment>(accessed June 7, 2021)</comment>.</citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ratcliffe</surname> <given-names>C</given-names></name> <name><surname>McKernan</surname> <given-names>SM</given-names></name> <name><surname>Zhang</surname> <given-names>S.</given-names></name></person-group> <article-title>How much does the supplemental nutrition assistance program reduce food insecurity?</article-title> <source><italic>Am J Agric Econ.</italic></source> (<year>2011</year>) <volume>93</volume>:<fpage>1082</fpage>&#x2013;<lpage>98</lpage>. <pub-id pub-id-type="doi">10.1093/ajae/aar026</pub-id> <pub-id pub-id-type="pmid">25197100</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><collab>U.S. Department of Agriculture Food and Nutrition Service.</collab> <source><italic>Supplement Nutrition Assistance Program (SNAP) Eligibility 2019.</italic></source> (<year>2019</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.fns.usda.gov/snap/recipient/eligibility">https://www.fns.usda.gov/snap/recipient/eligibility</ext-link> <comment>(accessed October 1, 2022)</comment>.</citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mendy</surname> <given-names>VL</given-names></name> <name><surname>Vargas</surname> <given-names>R</given-names></name> <name><surname>Cannon-Smith</surname> <given-names>G</given-names></name> <name><surname>Payton</surname> <given-names>M</given-names></name> <name><surname>Enkhmaa</surname> <given-names>B</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name></person-group> <article-title>Food insecurity and cardiovascular disease risk factors among mississippi adults.</article-title> <source><italic>Int J Environ Res Public Health.</italic></source> (<year>2018</year>) <volume>15</volume>:<fpage>2016</fpage>. <pub-id pub-id-type="doi">10.3390/ijerph15092016</pub-id> <pub-id pub-id-type="pmid">30223555</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vercammen</surname> <given-names>KA</given-names></name> <name><surname>Moran</surname> <given-names>AJ</given-names></name> <name><surname>McClain</surname> <given-names>AC</given-names></name> <name><surname>Thorndike</surname> <given-names>AN</given-names></name> <name><surname>Fulay</surname> <given-names>AP</given-names></name> <name><surname>Rimm</surname> <given-names>EB.</given-names></name></person-group> <article-title>Food security and 10-Year cardiovascular disease risk among U.S. adults.</article-title> <source><italic>Am J Prev Med.</italic></source> (<year>2019</year>) <volume>56</volume>:<fpage>689</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1016/j.amepre.2018.11.016</pub-id> <pub-id pub-id-type="pmid">30885515</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><collab>Centers for Disease Control and Prevention [CDC].</collab> <source><italic>About the National Health and Nutrition Examination Survey.</italic></source> (<year>2017</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/about_nhanes.htm">https://www.cdc.gov/nchs/nhanes/about_nhanes.htm</ext-link> <comment>(accessed October 1, 2022)</comment>.</citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sreenivasan</surname> <given-names>J</given-names></name> <name><surname>Khan</surname> <given-names>MS</given-names></name> <name><surname>Sharedalal</surname> <given-names>P</given-names></name> <name><surname>Hooda</surname> <given-names>U</given-names></name> <name><surname>Fudim</surname> <given-names>M</given-names></name> <name><surname>Demmer</surname> <given-names>RT</given-names></name><etal/></person-group> <article-title>Obesity and outcomes following cardiogenic shock requiring acute mechanical circulatory support.</article-title> <source><italic>Circ Heart Fail.</italic></source> (<year>2021</year>) <volume>14</volume>:<fpage>e007937</fpage>. <pub-id pub-id-type="doi">10.1161/CIRCHEARTFAILURE.120.007937</pub-id> <pub-id pub-id-type="pmid">33706552</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Myers</surname> <given-names>CA</given-names></name> <name><surname>Mire</surname> <given-names>EF</given-names></name> <name><surname>Katzmarzyk</surname> <given-names>PT.</given-names></name></person-group> <article-title>Trends in adiposity and food insecurity among US adults.</article-title> <source><italic>JAMA Netw Open.</italic></source> (<year>2020</year>) <volume>3</volume>:<fpage>e2012767</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2020.12767</pub-id> <pub-id pub-id-type="pmid">32766803</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berkowitz</surname> <given-names>SA</given-names></name> <name><surname>Baggett</surname> <given-names>TP</given-names></name> <name><surname>Wexler</surname> <given-names>DJ</given-names></name> <name><surname>Huskey</surname> <given-names>KW</given-names></name> <name><surname>Wee</surname> <given-names>CC.</given-names></name></person-group> <article-title>Food insecurity and metabolic control among U.S. adults with diabetes.</article-title> <source><italic>Diabetes Care.</italic></source> (<year>2013</year>) <volume>36</volume>:<fpage>3093</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.2337/dc13-0570</pub-id> <pub-id pub-id-type="pmid">23757436</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seligman</surname> <given-names>HK</given-names></name> <name><surname>Bindman</surname> <given-names>AB</given-names></name> <name><surname>Vittinghoff</surname> <given-names>E</given-names></name> <name><surname>Kanaya</surname> <given-names>AM</given-names></name> <name><surname>Kushel</surname> <given-names>MB.</given-names></name></person-group> <article-title>Food insecurity is associated with diabetes mellitus: results from the National Health Examination and Nutrition Examination Survey (NHANES) 1999-2002.</article-title> <source><italic>J Gen Intern Med.</italic></source> (<year>2007</year>) <volume>22</volume>:<fpage>1018</fpage>&#x2013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1007/s11606-007-0192-6</pub-id> <pub-id pub-id-type="pmid">17436030</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><collab>Executive Office of the President of the United States.</collab> <source><italic>Long-Term Benefits of the Supplemental Nutrition Assistance Program.</italic></source> <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>Executive Office of the President of the United States</publisher-name> (<year>2015</year>).</citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andreyeva</surname> <given-names>T</given-names></name> <name><surname>Tripp</surname> <given-names>AS</given-names></name> <name><surname>Schwartz</surname> <given-names>MB.</given-names></name></person-group> <article-title>Dietary quality of americans by supplemental nutrition assistance program participation status: a systematic review.</article-title> <source><italic>Am J Prev Med.</italic></source> (<year>2015</year>) <volume>49</volume>:<fpage>594</fpage>&#x2013;<lpage>604</lpage>. <pub-id pub-id-type="doi">10.1016/j.amepre.2015.04.035</pub-id> <pub-id pub-id-type="pmid">26238602</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lim</surname> <given-names>SS</given-names></name> <name><surname>Vos</surname> <given-names>T</given-names></name> <name><surname>Flaxman</surname> <given-names>AD</given-names></name> <name><surname>Danaei</surname> <given-names>G</given-names></name> <name><surname>Shibuya</surname> <given-names>K</given-names></name> <name><surname>Adair-Rohani</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.</article-title> <source><italic>Lancet.</italic></source> (<year>2012</year>) <volume>380</volume>:<fpage>2224</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(12)61766-8</pub-id> <pub-id pub-id-type="pmid">23245609</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Conrad</surname> <given-names>Z</given-names></name> <name><surname>Rehm</surname> <given-names>CD</given-names></name> <name><surname>Wilde</surname> <given-names>P</given-names></name> <name><surname>Mozaffarian</surname> <given-names>D.</given-names></name></person-group> <article-title>Cardiometabolic mortality by supplemental nutrition assistance program participation and eligibility in the United States.</article-title> <source><italic>Am J Public Health.</italic></source> (<year>2017</year>) <volume>107</volume>:<fpage>466</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.2105/AJPH.2016.303608</pub-id> <pub-id pub-id-type="pmid">28103061</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Olsho</surname> <given-names>LE</given-names></name> <name><surname>Klerman</surname> <given-names>JA</given-names></name> <name><surname>Wilde</surname> <given-names>PE</given-names></name> <name><surname>Bartlett</surname> <given-names>S.</given-names></name></person-group> <article-title>Financial incentives increase fruit and vegetable intake among Supplemental Nutrition Assistance Program participants: a randomized controlled trial of the USDA Healthy Incentives Pilot.</article-title> <source><italic>Am J Clin Nutr.</italic></source> (<year>2016</year>) <volume>104</volume>:<fpage>423</fpage>&#x2013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.3945/ajcn.115.129320</pub-id> <pub-id pub-id-type="pmid">27334234</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Molitor</surname> <given-names>F</given-names></name> <name><surname>Doerr</surname> <given-names>C.</given-names></name></person-group> <article-title>SNAP-Ed policy, systems, and environmental interventions and caregivers&#x2019; dietary behaviors.</article-title> <source><italic>J Nutr Educ Behav.</italic></source> (<year>2020</year>) <volume>52</volume>:<fpage>1052</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.jneb.2020.05.013</pub-id> <pub-id pub-id-type="pmid">32680822</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lloyd-Jones</surname> <given-names>DM</given-names></name> <name><surname>Hong</surname> <given-names>Y</given-names></name> <name><surname>Labarthe</surname> <given-names>D</given-names></name> <name><surname>Mozaffarian</surname> <given-names>D</given-names></name> <name><surname>Appel</surname> <given-names>LJ</given-names></name> <name><surname>Van Horn</surname> <given-names>L</given-names></name><etal/></person-group> <article-title>Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association&#x2019;s strategic Impact Goal through 2020 and beyond.</article-title> <source><italic>Circulation.</italic></source> (<year>2010</year>) <volume>121</volume>:<fpage>586</fpage>&#x2013;<lpage>613</lpage>. <pub-id pub-id-type="doi">10.1161/circulationaha.109.192703</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Korczak</surname> <given-names>R</given-names></name> <name><surname>Marquart</surname> <given-names>L</given-names></name> <name><surname>Slavin</surname> <given-names>JL</given-names></name> <name><surname>Ringling</surname> <given-names>K</given-names></name> <name><surname>Chu</surname> <given-names>Y</given-names></name> <name><surname>O&#x2019;Shea</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Thinking critically about whole-grain definitions: summary report of an interdisciplinary roundtable discussion at the 2015 Whole Grains Summit.</article-title> <source><italic>Am J Clin Nutr.</italic></source> (<year>2016</year>) <volume>104</volume>:<fpage>1508</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.3945/ajcn.115.126672</pub-id> <pub-id pub-id-type="pmid">27806974</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mozaffarian</surname> <given-names>D</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Sy</surname> <given-names>S</given-names></name> <name><surname>Huang</surname> <given-names>Y</given-names></name> <name><surname>Rehm</surname> <given-names>C</given-names></name> <name><surname>Lee</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Cost-effectiveness of financial incentives and disincentives for improving food purchases and health through the US Supplemental Nutrition Assistance Program (SNAP): a microsimulation study.</article-title> <source><italic>PLoS Med.</italic></source> (<year>2018</year>) <volume>15</volume>:<fpage>e1002661</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pmed.1002661</pub-id></citation></ref>
</ref-list>
</back>
</article>