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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.2017.00097</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>A Modified Behavior Risk Factor Surveillance System to Assess Diabetes Self-management Behaviors and Diabetes Care in Monterrey Mexico: A Cross-sectional Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>McEwen</surname> <given-names>Marylyn Morris</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Elizondo-Pereo</surname> <given-names>Rogelio Andr&#x000E8;s</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Pasvogel</surname> <given-names>Alice E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Meester</surname> <given-names>Irene</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/199992"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Vargas-Villarreal</surname> <given-names>Javier</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/432014"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gonz&#x000E1;lez-Salazar</surname> <given-names>Francisco</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/222081"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Nursing, University of Arizona</institution>, <addr-line>Tucson, AZ</addr-line>, <country>USA</country></aff>
<aff id="aff2"><sup>2</sup><institution>Mel and Enid Zuckerman College of Public Health, University of Arizona</institution>, <addr-line>Tucson, AZ</addr-line>, <country>USA</country></aff>
<aff id="aff3"><sup>3</sup><institution>Basic Sciences Department, University of Monterrey</institution>, <addr-line>Monterrey</addr-line>, <country>Mexico</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laboratory of Cellular Physiology, Northeast Center of Research, Mexican Institute of Social Security</institution>, <addr-line>Monterrey</addr-line>, <country>Mexico</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alicia Yolanda Harvey Vera, University of California San Diego, USA</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Xiaoguang Ma, Zhejiang University, China; Anna Chapman, Monash University, Australia</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Francisco Gonz&#x000E1;lez-Salazar, <email>fgonz75&#x00040;hotmail.com</email></corresp>
<fn fn-type="other" id="fn002"><p>Specialty section: This article was submitted to Public Health Education and Promotion, a section of the journal Frontiers in Public Health</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>05</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>5</volume>
<elocation-id>97</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>01</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>04</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 McEwen, Elizondo-Pereo, Pasvogel, Meester, Vargas-Villarreal and Gonz&#x000E1;lez-Salazar.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>McEwen, Elizondo-Pereo, Pasvogel, Meester, Vargas-Villarreal and Gonz&#x000E1;lez-Salazar</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) or licensor 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>
<p>Type 2 diabetes mellitus (T2DM) is one of the leading causes of death from worldwide non-communicable diseases. The prevalence of diabetes in the Mexico (MX)&#x02013;United States border states exceeds the national rate in both countries. The economic burden of diabetes, due to decreased productivity, disability, and medical costs, is staggering and increases significantly when T2DM-related complications occur. The purpose of this study was to use a modified behavioral risk factor surveillance system (BRFSS) to describe the T2DM self-management behaviors, diabetes care, and health perception of a convenience sample of adults with T2DM in Monterrey, MX. This cross-sectional study design, with convenience sampling, was conducted with a convenience sample (<italic>n</italic>&#x02009;&#x0003D;&#x02009;351) of adults in the metropolitan area of Monterrey, MX who self-reported a diagnosis of T2DM. Potential participants were recruited from local supermarkets. Twenty-six diabetes and health-related items were selected from the BRFSS and administered in face-to-face interviews by trained data collectors. Data analysis was conducted using descriptive statistics. The mean age was 47&#x02009;years, and the mean length of time with T2DM was 12&#x02009;years. The majority was taking oral medication and 34% required insulin. Daily self-monitoring of feet was performed by 56% of the participants; however, only 8.8% engaged in blood glucose self-monitoring. The mean number of health-care provider visits was 9.09 per year, and glycated hemoglobin level (HbA1c) was assessed 2.6 times per year. Finally, only 40.5% of the participants recalled having a dilated eye exam. We conclude the modified BRFSS survey administered in a face-to-face interview format is an appropriate tool for assessing engagement in T2DM self-management behaviors, diabetes care, and health perception. Extension of the use of this survey in a more rigorous design with a larger scale survey is encouraged.</p>
</abstract>
<kwd-group>
<kwd>type 2 diabetes</kwd>
<kwd>type 2 diabetes mellitus</kwd>
<kwd>HbA1c</kwd>
<kwd>behavioral risk factor surveillance system</kwd>
<kwd>diabetic complications</kwd>
<kwd>diabetic feet</kwd>
<kwd>diabetic retinopathy</kwd>
</kwd-group>
<contract-sponsor id="cn01">Consejo Nacional de Ciencia y Tecnolog&#x000ED;a<named-content content-type="fundref-id">10.13039/501100003141</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="7"/>
<word-count count="5207"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Type 2 diabetes mellitus (T2DM) is a serious chronic disease and a major global health threat. T2DM is one of the leading causes of death from non-communicable diseases worldwide (<xref ref-type="bibr" rid="B1">1</xref>). In Mexico (MX), Barquera et al. (<xref ref-type="bibr" rid="B2">2</xref>) reported in 2013 that about 8 million people suffer from this disease, and it is the second leading cause of medical consultation for non-infectious disease. Other reports, published in 2010, report the prevalence of diabetes in MX ranges between 9.2 and 17% (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). This rate compares to the MX&#x02013;United States (U.S.) border states (Nuevo Le&#x000F3;n, Tamaulipas, and Texas) that have an estimated T2DM prevalence of 17%, which is the highest T2DM rate at the national level in both countries (<xref ref-type="bibr" rid="B4">4</xref>). Monterrey, the capital of the state of Nuevo Leon and is the third largest metropolitan area in and the second wealthiest city in MX. Furthermore, Monterrey is considered the most Americanized city in the country (<xref ref-type="bibr" rid="B5">5</xref>). During 2012, the non-age-adjusted prevalence of T2DM was 15.5% (<xref ref-type="bibr" rid="B6">6</xref>) and 14.1% (<xref ref-type="bibr" rid="B7">7</xref>) in Nuevo Leon and Monterrey, respectively.</p>
<p>The economic burden of T2DM-related medical costs, disability, and decreased productivity is staggering; MX&#x02013;U.S. estimated the nationwide T2DM-related direct and indirect costs amounted to USD&#x00024; 778 million in 2010 (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>) and &#x00024;245 billon USD, respectively (<xref ref-type="bibr" rid="B10">10</xref>). T2DM-related direct medical costs increased 14% during 2005&#x02013;2010 due to complications (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>In MX, several guidelines have been used for T2DM treatment and prevention of diabetes-related complications. The official norms, NOM-015-SSA2-2010 and NOM-015-SSA2-1994 (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), contrast with guidelines operationalized in other health-care organizations and governmental institutions. For example, the Mexican Institute of Social Security (IMSS) and the Institute of Social Security and Services of State Workers (ISSSTE) have their own guidelines and protocols for the treatment and prevention of T2DM (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>), which are different than the official norms. Mexican health-care providers who use these guidelines (<xref ref-type="bibr" rid="B17">17</xref>) provide routine health-care visits, diabetes education, and patient engagement in diabetes self-management behavior (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Mexico has not developed a national registry for diabetes. The prevalence of diabetes at the regional, national, and state levels is obtained from several national surveys that have recently been consolidated into the Mexican National Nutrition Survey (ENSANUT). As a result, the health statistical system in MX is considered high quality, primarily due to ENSANUT, which is collected every 6&#x02009;years. MX recently initiated a medical specialties system and an information system for diabetes outcomes, especially related to quality of care indicators, is also planned. Analysis of the 2006 ENSANUT data demonstrated that adequate diabetes control is rare; HbA1c levels are infrequently evaluated, and, when evaluated, only 6.6% of the HbA1c measures were &#x0003C;7% (&#x0003C;53&#x02009;mmol/mol) (<xref ref-type="bibr" rid="B2">2</xref>). Currently, there are no surveys collected in MX that assess T2DM daily self-management behaviors, diabetes care and health perception more frequently that every 6&#x02009;years. A method for assessing these variables in the required timelines is required for T2DM self-management support and treatment decision support and for achieving optimal outcomes (<xref ref-type="bibr" rid="B17">17</xref>). The modified behavioral risk factor surveillance system (BRFSS) is proposed to address this gap.</p>
<p>The BRFSS is an ongoing, cross-sectional, multistage design survey (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The BRFSS is a telephone survey administered to the U.S. adult population to collect uniform state-specific data on preventive health practice and risk behaviors associated with chronic diseases, injuries, and preventable infectious diseases. The survey is composed of a set of core questions and modules (e.g., diabetes). The BRFSS is developed, coordinated, and funded by the Centers for Disease Control and Prevention (CDC). Details about the BRFSS design, purpose, sampling, validity, and reliability are available through the CDC website (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In 2011, BRFSS data collection, structure, and weighing methodology were revised to accommodate data collection by cellular telephones. An iterative proportional fitting, also known as raking, was applied to the BRFSS to improve the ability of a sample to reflect state level sociodemographics. The raking method was used to weigh the 2013 BRFSS data to increase the value of extremely low weights, decrease the value of extremely high weights, and reduce errors in outcome estimates (<xref ref-type="bibr" rid="B19">19</xref>). The BRFSS is not conducted in MX.</p>
<p>The purpose of this study was to use a modified BRFSS to describe the T2DM self-management behaviors, diabetes care, and health perception of a convenience sample of adults with T2DM in Monterrey, MX.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2-1">
<title>Study Design, Sample, Setting, and Data Collection</title>
<p>This cross-sectional study was conducted in the metropolitan area of Monterrey (Nuevo Leon, Mexico), a city located in the north of the country and 134 miles south of the MX&#x02013;U.S. border, with an estimated population in 2015 of 4,406,054 habitants distributed in 12 municipalities. The study protocol was approved by Universidad de Monterrey, State health commission, institutional ethics, and research committees. Participants were recruited by trained data collectors at the main doors of local supermarkets before they entered the establishment. Inclusion criteria were (1) age: &#x02265;18&#x02009;years; (2) living in the metropolitan area of Monterrey, Nuevo Leon; (3) diagnosed with T2DM by a medical doctor. Women diagnosed with gestational diabetes were excluded from the study. There was no monetary incentive for participation in the survey. Potential participants were screened by the data collectors to determine if they met the inclusion criteria. Individuals who met the inclusion criteria and agreed to participate provided signed informed consent.</p>
<p>Cross-sectional data using a modified BRFSS in a convenience sample were collected at seven local supermarkets located in the main municipalities of the metropolitan area of Monterrey, Nuevo Leon (Monterrey, San Nicolas, San Pedro, Santa Catarina, Guadalupe, Apodaca, and Escobedo) between August and September 2015. Based on the populations&#x02019; distrust of telephone surveys, face-to-face interviews were hypothesized to be a more acceptable method for data collection. The majority of individuals recruited from the supermarkets agreed to participate in the face-to-face interviews. The interviews were conducted by three trained data collectors who were medical students recruited from the scholarship service program at the University of Monterrey. They were trained by a medical doctor familiar with the face-to-face interviewing format. The data collectors were oriented to the modified BRFSS survey and supervised in the administration of the survey until all questions were accurately administered. The data collector asked the questions in a semi-private location of the supermarket and entered the participant&#x02019;s responses onto the survey form.</p>
</sec>
<sec id="S2-2">
<title>Modified BRFSS Instrument</title>
<p>The modified BRFSS was composed of selected variables (<italic>n</italic>&#x02009;&#x0003D;&#x02009;26) from the 2015 Spanish language BRFSS. All data were self-reported data. The 10 demographic variables included age, gender, marital status, education level, employment status, annual household income, body mass index (BMI) computed from self-reported height and weight, and exercise and smoking habits. The health-care access section included questions on health-care insurance and personal health-care provider. The 12 questions on T2DM health management behaviors and diabetes-related services collected information on the number of years with T2DM, age at diagnosis, type of T2DM medication (insulin or tablets), and the frequencies of blood sugar monitoring and feet check-ups, T2DM-related visits to health-care providers, professional check-up of HbA1c, feet sores, and dilated eye exams. With respect to T2DM education, the survey included questions to verify whether information on complications (sight, retinopathies, and nephropathies) had been provided and a course or class on diabetes self-management had been taken. The survey concluded with four questions used to describe the participants&#x02019; general physical and mental health perception during the last 30&#x02009;days, and whether this affected daily activities.</p>
</sec>
<sec id="S2-3">
<title>Statistical Analysis</title>
<p>Data obtained from participants were entered into an excel database and analyzed using the descriptive statistics version 22 of the Statistical Package in Social Science software (SPSS Inc., Chicago, IL, USA). The outcomes from qualitative variables were reported as percentages, while data from quantitative variables were reported as means and SDs.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<p>Findings from cross-sectional data collected using the modified BRFSS in a convenience sample (<italic>n</italic>&#x02009;&#x0003D;&#x02009;351) of adults residing in the metropolitan area of Monterrey, Nuevo Leon, MX are presented in Tables <xref ref-type="table" rid="T1">1</xref>&#x02013;<xref ref-type="table" rid="T3">3</xref>. Almost two-thirds (62.7%) were women and the mean age was 59.36&#x02009;&#x000B1;&#x02009;11.5&#x02009;years. Most of them were married, had a high school education or higher, and were not currently employed. More than half (76.9%) reported a monthly income less than &#x00024;20,000 USD. Almost all (94.97%) reported having health-care insurance, primarily from IMSS and/or &#x0201C;seguro popular,&#x0201D; and 75.5% reported having a personal health-care provider. Self-reported weight and height data were used to calculate BMI; 74.1% of the participants had a BMI greater than 25.0. The majority (85.2%) were not current smokers and almost half (45.6%) reported they exercised. These data are reported in the Table <xref ref-type="table" rid="T1">1</xref>. T2DM-related information, including T2DM self-management and professional T2DM-related care and education, is reported in Table <xref ref-type="table" rid="T2">2</xref>. The mean age at which T2DM was diagnosed was 47&#x02009;years and the mean time since T2DM diagnosis was 12&#x02009;years. In terms of medication taken to manage T2DM, most (75%) took tablets to control T2DM, while only 34% used insulin. A daily check of feet was performed by 56%, but only 8.8% said they checked blood glucose level on a daily basis. On average, T2DM patients visited a health-care provider 9.09 (&#x000B1;6.8) times per year for T2DM control. HbA1c level was checked 2.6 (&#x000B1;2.7) times per year. Importantly, 40.5% reported never having a pupil dilation eye examination. With respect to general health perception, although most patients (79%) said they felt fair to good, about 8 (&#x000B1;10) days per month they felt physically and/or mentally bad, and about 4 (&#x000B1;8) days per month their lack of health interfered with daily activities (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Demographic data</bold>.</p></caption>

<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center"><italic>N</italic>&#x02009;&#x0003D;&#x02009;351<xref ref-type="table-fn" rid="tfn2"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">Gender</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">131 (37.3%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">220 (62.7%)</td>
</tr>
<tr>
<td align="left" valign="top">Mean age (years, &#x000B1;SD)</td>
<td align="center" valign="top">59.36 (11.5)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Married</td>
<td align="center" valign="top">258 (73.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Not married</td>
<td align="center" valign="top">92 (26.2%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Education completed</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;High school</td>
<td align="center" valign="top">235 (67.0%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265;High school</td>
<td align="center" valign="top">116 (33.0%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Currently employed</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">146 (41.6%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">205 (58.4%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Income (USD)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;&#x00024;20,000/year</td>
<td align="center" valign="top">270 (76.9%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003E;&#x00024;20,000/year</td>
<td align="center" valign="top">45 (12.8%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Health-care insurance</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">333 (94.9%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">16 (4.6%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Personal health-care provider</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">265 (75.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">86 (24.5%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Body mass index</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;25&#x02009;kg/m<sup>2</sup></td>
<td align="center" valign="top">58 (16.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003E;25&#x02009;kg/m<sup>2</sup></td>
<td align="center" valign="top">260 (74.1%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Exercise</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">161 (45.6%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">188 (53.6%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Current smoker</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">48 (13.7%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">299 (85.2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><p><italic><sup>a</sup>Proportions calculated counting only the responders</italic>.</p></fn></table-wrap-foot></table-wrap>

<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Diabetes care</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center"><italic>N</italic>&#x02009;&#x0003D;&#x02009;351</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age at diabetes diagnosis (years; mean, &#x000B1;SD)</td>
<td align="center" valign="top">47.31 (12.3)</td>
</tr>
<tr>
<td align="left" valign="top">Duration diabetes (years; mean, &#x000B1;SD)</td>
<td align="center" valign="top">12.26 (9.8)</td>
</tr>
<tr>
<td align="left" valign="top">Currently taking diabetes medication</td>
<td align="center" valign="top">272 (75.1%)</td>
</tr>
<tr>
<td align="left" valign="top">Currently taking insulin</td>
<td align="center" valign="top">120 (34.2%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Frequency blood sugar check</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Never</td>
<td align="center" valign="top">79 (22.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Daily</td>
<td align="center" valign="top">31 (8.8%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Weekly</td>
<td align="center" valign="top">60 (17.1%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Monthly</td>
<td align="center" valign="top">86 (24.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yearly</td>
<td align="center" valign="top">73 (20.8%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Frequency sore feet check</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Never</td>
<td align="center" valign="top">53 (15.1%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Daily</td>
<td align="center" valign="top">199 (56.7%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Weekly</td>
<td align="center" valign="top">66 (18.8%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Monthly</td>
<td align="center" valign="top">13 (3.7%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yearly</td>
<td align="center" valign="top">7 (2.0%)</td>
</tr>
<tr>
<td align="left" valign="top">Frequency T2DM-related HCP visit in past 12&#x02009;months (mean, &#x000B1;SD)</td>
<td align="center" valign="top">9.09 (6.8)</td>
</tr>
<tr>
<td align="left" valign="top">Frequency HbA1c checked by HCP in past 12&#x02009;months (mean, &#x000B1;SD)</td>
<td align="center" valign="top">2.61 (2.7)</td>
</tr>
<tr>
<td align="left" valign="top">Frequency of a professional feet check-up in past 12&#x02009;months (mean, &#x000B1;SD)</td>
<td align="center" valign="top">3.54 (4.7)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Eye exam with pupil dilation</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Never</td>
<td align="center" valign="top">142 (40.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Within past month</td>
<td align="center" valign="top">29 (8.3%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Within past year</td>
<td align="center" valign="top">90 (25.6%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Within past 2&#x02009;years</td>
<td align="center" valign="top">23 (6.6%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2 or more years ago</td>
<td align="center" valign="top">56 (16.0%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Informed that sight problems and retinopathy were T2DM complications</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">45 (41.3%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">198 (56.4%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Taken a T2DM management course or class</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">147 (41.9%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">199 (56.7%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>HbA1c, glycated hemoglobin level; T2DM, type 2 diabetes mellitus; HCP, health-care provider</italic>.</p></table-wrap-foot></table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Health perceptions</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Health perception</th>
<th valign="top" align="center"><italic>N</italic>&#x02009;&#x0003D;&#x02009;351</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">General health</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Excellent</td>
<td align="center" valign="top">20 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Very good</td>
<td align="center" valign="top">30 (8.5%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Good</td>
<td align="center" valign="top">109 (31.1%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Fair</td>
<td align="center" valign="top">168 (47.9%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Poor</td>
<td align="center" valign="top">22 (6.3%)</td>
</tr>
<tr>
<td align="left" valign="top">Bad physical health (days/last month<xref ref-type="table-fn" rid="tfn2"><sup>a</sup></xref>; mean, &#x000B1;SD)</td>
<td align="center" valign="top">7.97 (10.1)</td>
</tr>
<tr>
<td align="left" valign="top">Bad mental health (days/last month<xref ref-type="table-fn" rid="tfn2"><sup>a</sup></xref>; mean, &#x000B1;SD)</td>
<td align="center" valign="top">8.14 (10.4)</td>
</tr>
<tr>
<td align="left" valign="top">Inability to perform daily activities due to poor mental or physical health (days/last month<xref ref-type="table-fn" rid="tfn2"><sup>a</sup></xref>; mean, &#x000B1;SD)</td>
<td align="center" valign="top">4.15 (8.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2"><p><italic><sup>a</sup>Month was considered as 30&#x02009;days</italic>.</p></fn></table-wrap-foot></table-wrap>
<p>We do not have the exact proportion of response but the most common reason for which people refused to participate in this study was the lack of time (no showed data).</p>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this cross-sectional study, a modified BRFSS is composed of 26 items was used to examine the demographic characteristics, T2DM self-management care, professional health care, and general health perception among adults with T2DM residing in the metropolitan area of Monterrey, the most Americanized city in MX. Although our findings do not represent the Mexican population as a whole, they can be compared with previously reported studies.</p>
<p>The demographic characteristics of this Monterrey metropolitan cohort was older and had a higher level of education when compared to the Mexican cohort of the 2002 MX&#x02013;U.S. border states diabetes study (<xref ref-type="bibr" rid="B18">18</xref>). Clearly, the metropolitan area of Monterrey is not representative of the country or the MX&#x02013;U.S. border region; Monterrey is an urban community with several state and private universities and a higher socioeconomic level than other border communities. However, in this cohort, the average annual household income was &#x02264;USD &#x00024;20,000. The unemployment rate (34&#x02013;39%) on the Mexican side was higher than in the 2002 survey (<xref ref-type="bibr" rid="B18">18</xref>). This may be due to the BRFSS limited item response options (employed or unemployed), while the 2002 survey was stratified for employed, student, retired, or working at home. Education and income operate in an inverse relationship with diabetes, the higher the education and income levels, the lower the rate of diabetes (<xref ref-type="bibr" rid="B20">20</xref>). The BRFSS data indicate that the T2DM prevalence (19.5%) among those with an annual income &#x02264;USD&#x00024;15,000 was twice the rate of those with an income &#x02265;&#x00024;50,000 (8.3%) (<xref ref-type="bibr" rid="B20">20</xref>). Socioeconomic factors, including income, are adversely related to incidence, prevalence, and health status. These outcomes are similar to those reported by the Pan American Health Organization (<xref ref-type="bibr" rid="B21">21</xref>) on the MX&#x02013;U.S. border states.</p>
<p>Despite higher poverty and unemployment rates than previous border studies, the majority (94.9%) had health insurance and 75.5% reported having a personal health-care provider. Health-care access was slightly better in our study than the data reported in the ENSANUT 2006 T2DM care study (74.4%) (<xref ref-type="bibr" rid="B2">2</xref>). The difference may be due to either the different population or sociodemographic characteristics of the metropolitan area of Monterrey or the <italic>Seguro Popular</italic>, a type of medical insurance granted by the government in 2003 to protect the uninsured. <italic>Seguro Popular</italic> has increased the national health coverage for more than 50 million Mexican citizens (<xref ref-type="bibr" rid="B22">22</xref>) but does not offer a personal health-care provider. This may explain the finding that the health insurance coverage is greater than the percentage of patients with a personal health-care provider.</p>
<p>These cross-sectional data may reflect a selection bias. That is, those individuals who self-selected into this study may not share characteristics of the general population with T2DM. For example, potential participants whose T2DM is poorly controlled may be home-bound and/or unable to travel to the public places where the study was conducted.</p>
<p>Both the American Diabetes Association with the Standards of Medical Care (<xref ref-type="bibr" rid="B17">17</xref>) and the Mexican NOM (<xref ref-type="bibr" rid="B11">11</xref>) share recommendations regarding BMI (&#x0003C;25&#x02009;kg/m<sup>2</sup>) and the importance of physical activity for T2DM patients. In our cohort, 74% of respondents had self-reported BMI values outside of optimal range (&#x0003E;25&#x02009;kg/m<sup>2</sup>). Based on the majority of participants who self-reported, they exercised and recognizing that BMI is directly influenced by the balance between caloric intake and physical activity, these were not the expected BMI results. Of note is the proportion who self-reported they exercised is greater than other border studies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The MX&#x02013;U.S. border region is an obesogenic region (<xref ref-type="bibr" rid="B4">4</xref>). Environmental and personal obesogenic factors include lack of time, physical pain, depression, being overweight, unsafe neighborhoods, and lack of exercising facilities (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x02013;<xref ref-type="bibr" rid="B27">27</xref>), a lower socioeconomic class with poor availability to high-quality foods (<xref ref-type="bibr" rid="B4">4</xref>) but easy access to low-priced, well marketed, high-calorie, and high-fat processed foods (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Despite almost complete coverage of health insurance, access to a personal health-care provider for the majority, and an average of 9.09 T2DM control visits per year, almost half (48.9%) of the participants reported not having their HbA1c level checked by a health care professional. An HbA1c level &#x0003C;7.0% (&#x0003C;53&#x02009;mmol/mol) is associated with a lower rate of both T2DM-related microvascular complications, such as retinopathy and long-term macrovascular complications (<xref ref-type="bibr" rid="B8">8</xref>). Therefore, an HbA1c level &#x0003C;7.0% (&#x0003C;53&#x02009;mmol/mol) is an important surrogate marker to prevent complications. According to the 2012 ENSANUT, only 11.2% of the Mexican population has their HbA1c level checked annually (<xref ref-type="bibr" rid="B3">3</xref>). Unfortunately, we do not know the average HbA1c values of our sample. The average frequency of HbA1c monitoring was reported to be twice a year. However, it is possible that respondents confused blood glucose with HbA1c; if so, monitoring of HbA1c may be even less frequent (<xref ref-type="bibr" rid="B28">28</xref>). Indeed, it has been reported that Mexican diagnosed with T2DM who have a low education level are not familiar with the HbA1c test and tend to confuse it with the glycemia blood test (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Another important measure to prevent complications is an annual comprehensive foot examination in all patients with T2DM (<xref ref-type="bibr" rid="B17">17</xref>). In our cohort, feet were examined by a physician about three times per year, which complies with the guidelines. However, BRFSS does not verify the specific steps of a foot exam, which should include inspection, assessment of foot pulses, and testing for loss of protective sensation (<xref ref-type="bibr" rid="B8">8</xref>). As reported in U.S. studies and should be carefully considered for Mexican citizens, foot-related complications among T2DM patients continue to increase despite evidence-based research documenting the effectiveness of comprehensive T2DM foot exams. It is essential that comprehensive foot exams be conducted by a health-care provider to reduce foot-related complications including amputations (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Only one-fourth (25.6%) of the participants reported receiving a dilated eye exam in the last year. Interestingly, 40.1% of the cohort reported being told T2DM affected eyes or they had retinopathy. The frequency of eye exams for diabetes-related retinopathy reported in this study is consistent with findings in other border studies (<xref ref-type="bibr" rid="B31">31</xref>). Despite a high prevalence of retinopathy in diabetic patients in MX, preventive examination is not commonly conducted (<xref ref-type="bibr" rid="B32">32</xref>). The ADA recommends that individuals with T2DM should have an initial dilated and comprehensive eye examination, carried out by an ophthalmologist or optometrist, following T2DM diagnosis (<xref ref-type="bibr" rid="B17">17</xref>). If there is no evidence of retinopathy for one or more eye exams, then a schedule of every 2&#x02009;years may be considered. However, if diabetic retinopathy is present, subsequent examinations should occur annually. Initial and subsequent eye examinations as recommended are critical to prevent blindness caused by diabetic retinopathy (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>The ADA in the U.S. (<xref ref-type="bibr" rid="B17">17</xref>) and the MX NOM (<xref ref-type="bibr" rid="B11">11</xref>) provide evidenced-based guidelines for health-care professionals who provide T2DM care. However, the major health-care systems in MX (IMSS, ISSSTE, and <italic>Seguro Popular</italic>) and some medical associations (Federaci&#x000F3;n Mexicana de Diabetes, Asociaci&#x000F3;n Mexicana de Diabetes) follow different T2DM guidelines. The NOM recommends that patients with T2DM have annual HbA1c exams and, if visual alterations occur, T2DM patients should be referred to an eye care specialist. However, whether it is a lack of health-care professional referrals or a delay in care seeking by the patient, it is common that patients are not examined until they have severe ocular damage. A scenario that contributes to high retinopathy rates in MX (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>The main limitations of the study are those of a self-reported sample survey and the method of data collection and potential selection bias related to the convenience sample. In the absence of a BRFSS infrastructure in MX, the Monterrey MX cohort data were collected using select items from the BRFSS administered to the U.S. population. However, we used face-to-face interviews and a different, less structured convenience sample. It is important to note that telephone surveys are not feasible in the metropolitan area of Monterrey as most people refuse to speak with persons who are unknown to them for safety reasons. The convenience sample, although collected from seven cities in the metropolitan area, may not have been representative of the larger population. Standardized protocols for data collection, including training of study personnel, were used to minimize interviewer bias between data collectors in the face-to-face interviews. Finally, the absence of data to report the numbers of individuals at each stage of the study (e.g., numbers screened for eligibility and numbers eligible) is another limitation.</p>
<p>Though the health literacy level was not assessed, it is possible, considering the education level, that participants did not understand all questions (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Furthermore, recall bias and social desirability may have contributed to measurement error. Other potential limitations include systematic error and non-response or refusal to participate, which may have possibly affected internal validity. Finally, diabetes self-management is complex.</p>
<p>Despite robust evidence for treatment protocols and self-management education for T2DM control and prevention of complications, a gap continues to exist in translating the evidence into clinical practice and engagement of residents on either side of the MX&#x02013;U.S. border in T2DM self-management care. Overweight, older patients with a sedentary lifestyle and limited engagement in T2DM self-management behaviors, and health-care providers who do not follow the guidelines for medical care of patients with T2DM increases the probability of future T2DM-related complications.</p>
<p>The modified BRFSS was uniquely utilized to describe the T2DM self-management behaviors, diabetes care, and health perception of a convenience sample of adults with T2DM in Monterrey, MX. The use of this survey could be extended in a more rigorously designed, larger scale. For example, for binational data collection from Hispanic-Americans and Mexicans with T2DM living in the MX&#x02013;U.S. border region. The recommendations put forth by de Cos&#x000ED;o and colleagues (<xref ref-type="bibr" rid="B34">34</xref>) provide direction for the design and implementation of a binational survey and should be followed. Data collected using the modified BRFSS could be used to inform the development, effective targeting, and evaluation of future binational health T2DM interventions. Further testing of the modified BRFSS should be conducted.</p>
</sec>
<sec id="S5">
<title>Ethics Statement</title>
<p>All subjects signed written informed consent. The protocol was approved by the &#x0201C;Ethic and Research Committee of University of Monterrey and State Health Commission.&#x0201D;</p>
</sec>
<sec id="S6" sec-type="author-contributor">
<title>Author Contributions</title>
<p>Write protocol: FG-S, JV-V, and IM. Train interviewers: FG-S and RE-P. Supervise logistic interview: MM, FG-S, and RE-P. Capture data and perform excel: RE-P. Perform analysis: MM and AP. Interpret outcomes: MM, AP, JV-V, and FG-S. Write manuscript, edit manuscript, and review final version: MM, IM, JV-V, and FG-S. Manuscript translation and English review: MM and IM.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</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>
</body>
<back>
<sec id="S8">
<title>Funding</title>
<p>The authors thank the <italic>Puentes Consortium</italic> and the <italic>Consejo Nacional De Ciencia y Tecnolog&#x000EC;a de Mexico</italic> for the support provided for this study.</p>
</sec>
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