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<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.2014.00008</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>Burden of Cardiovascular Disease among Multi-Racial and Ethnic Populations in the United States: an Update from the National Health Interview Surveys</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Longjian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/68778"/>
</contrib>
<contrib contrib-type="author">
<name><surname>N&#x000FA;&#x01E45;ez</surname> <given-names>Ana E.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>An</surname> <given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Ming</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Jixiang</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chou</surname> <given-names>Edgar Y.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Zhengming</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Eisen</surname> <given-names>Howard J.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/161956"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Epidemiology and Biostatistics, School of Public Health, Drexel University</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>USA</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Environmental and Occupational Health, School of Public Health, Drexel University</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>USA</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Medicine, Drexel University College of Medicine</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>USA</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Computing and Informatics, Drexel University</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>USA</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Cardiology, First Affiliated Hospital of Chongqing Medical University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>National Center for Chronic and Non-Communicable Disease Control and Prevention, Centers for Disease Control and Prevention</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Clinical Trial Service Unit &#x00026; Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford</institution>, <addr-line>Oxford</addr-line>, <country>UK</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Renate B. Schnabel, University Heart Center Hamburg, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Leonardo Roever, University of S&#x000E3;o Paulo, Brazil; Federal University of Uberl&#x000E2;ndia, Brazil; Emmi Tikkanen, University of Helsinki, Finland</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Longjian Liu, Department of Epidemiology and Biostatistics, Drexel University School of Public Health, 3215 Market ST, Philadelphia, PA 19104, USA e-mail: <email>longjian.liu&#x00040;Drexel.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Cardiovascular Epidemiology, a section of the journal Frontiers in Cardiovascular Medicine.</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>11</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="collection">
<year>2014</year>
</pub-date><volume>1</volume>
<elocation-id>8</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>08</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>10</month>
<year>2014</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2014 Liu, N&#x000FA;&#x01E45;ez, An, Liu, Chen, Ma, Chou, Chen and Eisen.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access" 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><bold>Purpose:</bold> The study aimed to provide new evidence of health disparities in cardiovascular disease (CVD) and diabetes mellitus (DM), and to examine their associations with lifestyle-related risk factors across the U.S. multi-racial and ethnic groups.</p>
<p><bold>Methods:</bold> The analysis included a randomized population sample of 68,321 subjects aged &#x02265;18&#x02009;years old who participated in the U.S. 2012 and 2013 National Health Interview Surveys. Hypertension, coronary heart disease (CHD), stroke, and DM were classified according to participants&#x02019; self-report of physician diagnosis. Assessments of risk factors were measured using standard survey instruments. Associations of risk factors with hypertension, CHD, stroke, and DM were analyzed using univariable and multivariable analysis methods.</p>
<p><bold>Results:</bold> Non-Hispanic (NH)-Blacks had significantly higher odds of hypertension, while Hispanics had significantly lower odds of hypertension, and NH-Asians and Hispanics had significantly lower odds of stroke than NH-Whites (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). All minority groups, NH-Blacks, NH-Asians, and Hispanics had significantly higher odds of DM, but they had significantly lower odds of CHD than NH-Whites (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). Increased body weight, cigarette smoking, and physical inactivity were significantly associated with increased odds of hypertension, CHD, stroke, and DM (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). However, the strengths of associations between lifestyle-related factors and the study outcomes were different across racial and ethnic groups. NH-Asians with BMI &#x02265;30&#x02009;kg/m<sup>2</sup> had the highest odds ratios (OR, 95% CI) for hypertension (5.37, 4.01&#x02013;7.18), CHD (2.93, 1.90&#x02013;4.52), and stroke (2.23, 1.08&#x02013;4.61), and had the second highest odd ratios for DM (3.78, 2.68&#x02013;5.35) than NH-Whites, NH-Blacks, and Hispanics.</p>
<p><bold>Conclusion:</bold> CVD and DM disproportionately affect the U.S. multi-racial and ethnic population. Although lifestyle-related risk factors are significantly associated with increased odds of CVD and DM, the magnitudes of these associations are different by race and ethnicity.</p>
</abstract>
<kwd-group>
<kwd>cardiovascular disease</kwd>
<kwd>risk factors</kwd>
<kwd>multi-race and ethnicity</kwd>
<kwd>USA</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="15"/>
<page-count count="8"/>
<word-count count="5686"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Although since 1950, the incidence, prevalence, and mortality from cardiovascular diseases (CVD) have declined, coronary heart disease (CHD) and stroke (the two major forms of CVD) remain the leading causes of deaths in the United States of America (U.S.) (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). In 2010, 379,559 Americans died of CHD; it alone caused about one of every six deaths in the U.S. Approximately, every 1&#x02009;min and 23&#x02009;s, an American will die of CHD. Stroke caused about 1 of every 19 deaths. On average, every 40&#x02009;s, someone in the U.S. has a stroke, and someone dies of one approximately every 4&#x02009;min (<xref ref-type="bibr" rid="B1">1</xref>). In the U.S. more than 33%, or more than 100 million persons, identified themselves as belonging to a racial or ethnic minority population. Furthermore, it is well-known that CVD disproportionately affect the U.S. minority populations. However, limited studies address and provide updated evidence of the burden of CVD and its association with preventable risk factors across sub-groups of minority populations. In the present study, we aimed to examine the burden and health disparity of CVD and diabetes mellitus (DM), and their associations with lifestyle-related factors across multi-racial and ethnic groups in the U.S. We hypothesized that there were significant differences in the prevalence of CVD and DM and in the magnitude of the associations between CVD, DM, and risk factors across racial and ethnic groups. In the study, we used data from the most recent studies of the 2012 and 2013 National Health Interview surveys (NHIS). Findings from the study may provide significant evidence to health policy makers and moving forward prevention strategy and practice toward a significant reduction of cardiovascular disparity in the nation.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>Participants aged 18&#x02009;years and older in the 2012 and 2013, NHIS were included in the study. The NHIS, a cross-sectional study, is an annual in-person interview-administered survey of health status and behaviors among the U.S. non-institutionalized population. One adult per household was chosen randomly to participate (<xref ref-type="bibr" rid="B4">4</xref>). We combined recently released 2012 and 2013 NHIS data in order to ensure the study sample size and statistical power were big enough when testing differences in cardiovascular health by racial/ethnic groups, Non-Hispanic (NH) Whites, NH-Blacks, NH-Asians, Hispanics, as well as subgroups of NH-Asians (i.e., Chinese, Indian, and Filipino groups). We examine the subgroups of NH-Asians because they are one of the fastest-growing racial/ethnic groups in the U.S. (<xref ref-type="bibr" rid="B5">5</xref>). Of 69,082 total participants aged 18 and older, we excluded 761 with missing values on race/ethnicity, yielding a final analytic sample of 68,321 adults. Data used in the study were de-identified and publicly available from the National Center for Health Statistics. Therefore, no specific institutional review board&#x02019;s approval was needed (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>This study focused on four major CVD related chronic conditions: hypertension, CHD, stroke, and DM. These conditions were defined on the basis of participants&#x02019; self-reports of diagnoses made by a doctor or health professional. Covariates included age, gender, education attainments ( &#x0003C;high-school graduate, high-school graduate, and &#x02265;college), body mass index [BMI, calculated by weight (kg)/height (m<sup>2</sup>)], cigarette smoking (never smoked, formerly smoked, or currently smoke), alcohol consumption (non-drinker: &#x0003C;12 drinks in entire life, former drinker: no drinks in previous year, and current drinker), and physical activity. BMI was classified into four groups on the basis of the World Health Organization (WHO) definition (underweight: &#x0003C;18.5, normal weight: 18.5&#x02013;24.9, overweight: 25&#x02013;29.9, and obesity: &#x02265;30&#x02009;kg/m<sup>2</sup>). Physical activity status was grouped on the basis of current guidelines (active: &#x02265;150&#x02009;min per week of moderate-intensity equivalent leisure-time aerobic activity; insufficiently active: 10&#x02013;149&#x02009;min per week of moderate-intensity equivalent leisure-time aerobic activity) (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B8">8</xref>).</p>
<sec id="S2-1">
<title>Statistical analysis</title>
<p>A serial analysis was conducted to test the study hypotheses. The first group analysis included the basic characteristics description of the study participants by race/ethnicity, and tested difference using Chi-square tests. The second group analysis involved examination of associations of education, BMI, smoking, alcohol consumption, and physical activity status with prevalence of HBP, CHD, stroke, and DM by racial/ethnic groups. Further, the third group analysis looked at the racial/ethnic differences of the odds ratios (i.e., relative risks) for hypertension, CHD, stroke, and DM, using NH-White as the comparison group. Moreover, in the analysis, four multivariate logistic models were performed. Model 1 adjusted for age and sex. Model 2 adjusted for age, sex, and education. Model 3 adjusted for the covariates used in Model 2 plus three behavioral factors (smoking, alcohol consumption, and physical activity). Model 4 adjusted for the covariates used in Model 3 plus obesity. Similar to this analysis, we examined odds of hypertension, CHD, stroke, and DM across sub-groups of NH-Asians (American Chinese, Indians, and Filipinos) as compared to NH-Whites. Finally, we repeated the analysis by examining odds of hypertension, CHD, stroke, and DM across NH-Asian groups (Chinese, Indians, Filipinos, and other Asian groups including Japanese, Korean, and Vietnamese, with Chinese as the comparison).</p>
<p>All data analyses were performed using SAS version 9.3, with complex sample modules that take the sample design of NHIS, including stratification, clustering, and weight into consideration (SAS Institute, Cary, NC, USA). Statistical significance was determined for a two-sided test at a <italic>p</italic>-value &#x0003C;0.05.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3-2">
<title>Characteristics of participants across racial/ethnic groups</title>
<p>Table <xref ref-type="table" rid="T1">1</xref> shows that of 68,321 participants in 2012 and 2013 NHIS, NH-Whites had a significantly higher mean age (50.74&#x02009;years), followed by NH-Blacks (45.99&#x02009;years), NH-Asians (43.74&#x02009;years), and Hispanics (42.39&#x02009;years). NH-Asians had the lowest proportion of those who received less than high-school education (6.82%), followed by NH-Whites (7.42%), NH-Blacks (13.91%), and Hispanics (30.56%) (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). Similarly, lifestyle-related risk factors for CVD were significantly different across racial/ethnical groups. Overall, NH-Blacks had the worst CVD risk factor profiles (the highest obesity rate, higher current smoking rate, and the lowest physical activity rate) than the other racial/ethnic groups. Similar to this, NH-Blacks had the highest prevalence of hypertension (40.1%), stroke (3.9%), and DM (13.8%) than NH-Whites, NH-Asians, and Hispanics. However, NH-Whites had the highest prevalence of CHD (8.2%) among the four racial/ethnic groups.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption>
<p><bold>Characteristics of participants by race/ethnicity</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left"/>
<th align="center">NH-Whites (<italic>n</italic>&#x02009;&#x0003D;&#x02009;41641)</th>
<th align="center">NH-Blacks (<italic>n</italic>&#x02009;&#x0003D;&#x02009;10600)</th>
<th align="center">NH-Asians (<italic>n</italic>&#x02009;&#x0003D;&#x02009;4278)</th>
<th align="center">Hispanics (<italic>n</italic>&#x02009;&#x0003D;&#x02009;11802)</th>
<th align="center"><italic>p</italic><xref ref-type="table-fn" rid="tfn1">&#x0002A;</xref></th>
</tr>
<tr>
<th align="left"/>
<th align="center">% (SEP)</th>
<th align="center">% (SEP)</th>
<th align="center">% (SEP)</th>
<th align="center">% (SEP)</th>
<th align="left"/>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Age, years, mean (SEM)</td>
<td align="char" char="(" charoff="50">50.74 (0.20)</td>
<td align="char" char="(" charoff="50">45.99 (0.33)</td>
<td align="char" char="(" charoff="50">43.74 (0.41)</td>
<td align="char" char="(" charoff="50">42.39 (0.24)</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="char" char="(" charoff="50">46.08 (0.28)</td>
<td align="char" char="(" charoff="50">40.92 (0.56)</td>
<td align="char" char="(" charoff="50">46.55 (0.92)</td>
<td align="char" char="(" charoff="50">46.83 (0.58)</td>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Education</td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003; &#x0003C;High school</td>
<td align="char" char="(" charoff="50">7.42 (0.19)</td>
<td align="char" char="(" charoff="50">13.91 (0.48)</td>
<td align="char" char="(" charoff="50">6.82 (0.46)</td>
<td align="char" char="(" charoff="50">30.56 (0.65)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;High school</td>
<td align="char" char="(" charoff="50">59.85 (0.38)</td>
<td align="char" char="(" charoff="50">66.02 (0.58)</td>
<td align="char" char="(" charoff="50">39.60 (1.10)</td>
<td align="char" char="(" charoff="50">55.54 (0.62)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003; &#x02265;College</td>
<td align="char" char="(" charoff="50">32.73 (0.41)</td>
<td align="char" char="(" charoff="50">20.06 (0.53)</td>
<td align="char" char="(" charoff="50">53.58 (1.22)</td>
<td align="char" char="(" charoff="50">13.91 (0.42)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">BMI, kg/m<sup>2</sup></td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Under weight</td>
<td align="char" char="(" charoff="50">1.89 (0.08)</td>
<td align="char" char="(" charoff="50">1.27 (0.13)</td>
<td align="char" char="(" charoff="50">4.23 (0.33)</td>
<td align="char" char="(" charoff="50">1.16 (0.10)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Normal weight</td>
<td align="char" char="(" charoff="50">36.58 (0.32)</td>
<td align="char" char="(" charoff="50">27.44 (0.56)</td>
<td align="char" char="(" charoff="50">58.50 (0.93)</td>
<td align="char" char="(" charoff="50">30.11 (0.50)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Over weight</td>
<td align="char" char="(" charoff="50">34.33 (0.30)</td>
<td align="char" char="(" charoff="50">33.87 (0.49)</td>
<td align="char" char="(" charoff="50">27.70 (0.82)</td>
<td align="char" char="(" charoff="50">37.56 (0.52)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Obesity</td>
<td align="char" char="(" charoff="50">27.20 (0.29)</td>
<td align="char" char="(" charoff="50">37.42 (0.58)</td>
<td align="char" char="(" charoff="50">9.57 (0.56)</td>
<td align="char" char="(" charoff="50">31.17 (0.53)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Smoking</td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Never</td>
<td align="char" char="(" charoff="50">53.40 (0.35)</td>
<td align="char" char="(" charoff="50">65.62 (0.63)</td>
<td align="char" char="(" charoff="50">77.09 (0.79)</td>
<td align="char" char="(" charoff="50">71.44 (0.51)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Former smoker</td>
<td align="char" char="(" charoff="50">26.86 (0.30)</td>
<td align="char" char="(" charoff="50">14.94 (0.44)</td>
<td align="char" char="(" charoff="50">12.78 (0.60)</td>
<td align="char" char="(" charoff="50">15.36 (0.38)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Current smoker</td>
<td align="char" char="(" charoff="50">19.74 (0.26)</td>
<td align="char" char="(" charoff="50">19.44 (0.48)</td>
<td align="char" char="(" charoff="50">10.13 (0.54)</td>
<td align="char" char="(" charoff="50">13.20 (0.36)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Alcohol consumption</td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Never</td>
<td align="char" char="(" charoff="50">15.35 (0.28)</td>
<td align="char" char="(" charoff="50">28.42 (0.57)</td>
<td align="char" char="(" charoff="50">38.79 (0.96)</td>
<td align="char" char="(" charoff="50">29.81 (0.56)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Former drinking</td>
<td align="char" char="(" charoff="50">15.66 (0.25)</td>
<td align="char" char="(" charoff="50">16.67 (0.44)</td>
<td align="char" char="(" charoff="50">9.18 (0.51)</td>
<td align="char" char="(" charoff="50">13.26 (0.39)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Current drinking</td>
<td align="char" char="(" charoff="50">68.99 (0.36)</td>
<td align="char" char="(" charoff="50">54.91 (0.66)</td>
<td align="char" char="(" charoff="50">52.03 (0.90)</td>
<td align="char" char="(" charoff="50">56.94 (0.61)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Physical activity</td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Inactive</td>
<td align="char" char="(" charoff="50">29.46 (0.45)</td>
<td align="char" char="(" charoff="50">39.50 (0.64)</td>
<td align="char" char="(" charoff="50">27.98 (1.07)</td>
<td align="char" char="(" charoff="50">39.82 (0.68)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Insufficiently active</td>
<td align="char" char="(" charoff="50">30.36 (0.32)</td>
<td align="char" char="(" charoff="50">28.31 (0.58)</td>
<td align="char" char="(" charoff="50">32.97 (0.97)</td>
<td align="char" char="(" charoff="50">25.10 (0.48)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;Active</td>
<td align="char" char="(" charoff="50">40.18 (0.37)</td>
<td align="char" char="(" charoff="50">32.19 (0.59)</td>
<td align="char" char="(" charoff="50">39.06 (0.95)</td>
<td align="char" char="(" charoff="50">35.08 (0.59)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Chronic conditions</td>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="char" char="(" charoff="50"/>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Hypertension</td>
<td align="char" char="(" charoff="50">33.24 (0.32)</td>
<td align="char" char="(" charoff="50">40.05 (0.73)</td>
<td align="char" char="(" charoff="50">22.57 (0.81)</td>
<td align="char" char="(" charoff="50">23.13 (0.47)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x02003;CHD</td>
<td align="char" char="(" charoff="50">8.20 (0.16)</td>
<td align="char" char="(" charoff="50">6.76 (0.29)</td>
<td align="char" char="(" charoff="50">3.78 (0.36)</td>
<td align="char" char="(" charoff="50">4.65 (0.23)</td>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Stroke</td>
<td align="char" char="(" charoff="50">3.28 (0.10)</td>
<td align="char" char="(" charoff="50">3.87 (0.20)</td>
<td align="char" char="(" charoff="50">1.59 (0.23)</td>
<td align="char" char="(" charoff="50">2.17 (0.16)</td>
<td align="center">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;DM</td>
<td align="char" char="(" charoff="50">9.86 (0.18)</td>
<td align="char" char="(" charoff="50">13.79 (0.41)</td>
<td align="char" char="(" charoff="50">8.48 (0.49)</td>
<td align="char" char="(" charoff="50">10.99 (0.36)</td>
<td align="center">&#x0003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>NH, non-Hispanic; SEM, standard error of mean; SEP, standard error of proportion; CHD, coronary heart disease; DM, diabetes mellitus</italic>.</p>
<fn id="tfn1"><p><italic>&#x0002A;<italic>p</italic>-Values for age-sex-adjusted differences across four race/ethnicity groups, except for tests of differences in age and sex among racial/ethnic groups</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3-3">
<title>Odds of chronic conditions and associated risk factors by racial/ethnic groups</title>
<p>Table <xref ref-type="table" rid="T2">2</xref> shows that after adjustment for age and sex, subjects with lower education levels were significantly associated with elevated odds ratios for hypertension, CHD (Table <xref ref-type="table" rid="T2">2</xref>A), stroke, and DM (Table <xref ref-type="table" rid="T2">2</xref>B) in all racial/ethnic groups (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.01). However, the strengths of these associations were much stronger in NH-Whites than the other race/ethnic groups (assessed by the values of odds ratios). NH-Asians with BMI &#x02265;30&#x02009;kg/m<sup>2</sup> had the highest odds ratios for hypertension, CHD, and stroke, and had the second highest odd ratios for DM than the other racial/ethnic groups.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption>
<p><bold>(A) Age-sex-adjusted odds ratios (95% CI) of education and other risk factors for hypertension and coronary heart disease by race/ethnicity and (B) Age-sex-adjusted odds ratios (95% CI) of education and other risk factors for stroke and diabetes by race/ethnicity</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left"/>
<th align="center" colspan="2">NH-Whites<hr/></th>
<th align="center" colspan="2">NH-Blacks<hr/></th>
<th align="center" colspan="2">NH-Asians<hr/></th>
<th align="center" colspan="2">Hispanics<hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="9" style="background-color:DarkGray;"><bold>(A)</bold></td>
</tr>
<tr>
<td align="left"><bold>Associated with odds of HBP</bold></td>
</tr>
<tr>
<td align="left">Education</td>
</tr>
<tr>
<td align="left">&#x02003;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">1.56 (1.47&#x02013;1.65)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.41 (1.22&#x02013;1.61)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.14 (0.95&#x02013;1.37)</td>
<td align="char" char="." charoff="50">0.151</td>
<td align="center">1.44 (1.22&#x02013; 1.70)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003; &#x0003C;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">2.49 (2.26&#x02013;2.74)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.92 (1.61&#x02013;2.29)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.90 (1.46&#x02013;2.48)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">1.75 (1.49&#x02013; 2.07)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">BMI Groups</td>
</tr>
<tr>
<td align="left">&#x02003;Over weight vs. normal</td>
<td align="char" char="(" charoff="50">1.75 (1.64&#x02013;1.87)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.64 (1.45&#x02013;1.86)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.99 (1.65&#x02013;2.41)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">1.53 (1.34&#x02013; 1.74)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Obesity vs. normal</td>
<td align="char" char="(" charoff="50">3.43 (3.20&#x02013;3.66)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.41 (2.98&#x02013;3.91)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">5.37 (4.01&#x02013;7.18)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">2.98 (2.58&#x02013; 3.44)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Smoking status</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.44 (1.36&#x02013;1.53)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.88 (1.64&#x02013;2.16)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.36 (1.07&#x02013;1.73)</td>
<td align="char" char="." charoff="50">0.011</td>
<td align="center">1.47 (1.29&#x02013; 1.68)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">1.10 (1.02&#x02013;1.18)</td>
<td align="char" char="." charoff="50">0.010</td>
<td align="center">1.21 (1.08&#x02013;1.37)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="center">0.90 (0.65&#x02013;1.26)</td>
<td align="char" char="." charoff="50">0.548</td>
<td align="center">1.23 (1.03&#x02013; 1.46)</td>
<td align="char" char="." charoff="50">0.019</td>
</tr>
<tr>
<td align="left">Alcohol consumption</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.13 (1.04&#x02013;1.22)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">1.69 (1.48&#x02013;1.93)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.31 (0.97&#x02013;1.77)</td>
<td align="char" char="." charoff="50">0.083</td>
<td align="center">1.30 (1.12&#x02013; 1.51)</td>
<td align="char" char="." charoff="50">0.001</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">0.72 (0.67&#x02013;0.77)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.08 (0.97&#x02013;1.20)</td>
<td align="char" char="." charoff="50">0.180</td>
<td align="center">0.72 (0.59&#x02013;0.88)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="center">0.80 (0.71&#x02013; 0.91)</td>
<td align="char" char="." charoff="50">0.001</td>
</tr>
<tr>
<td align="left">Physical activity</td>
</tr>
<tr>
<td align="left">&#x02003;Insufficiently vs. active</td>
<td align="char" char="(" charoff="50">1.24 (1.16&#x02013;1.32)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.20 (1.03&#x02013;1.40)</td>
<td align="char" char="." charoff="50">0.019</td>
<td align="center">1.05 (0.85&#x02013;1.28)</td>
<td align="char" char="." charoff="50">0.668</td>
<td align="center">1.15 (1.00&#x02013; 1.32)</td>
<td align="char" char="." charoff="50">0.047</td>
</tr>
<tr>
<td align="left">&#x02003;Inactive vs. active</td>
<td align="char" char="(" charoff="50">1.64 (1.54&#x02013;1.76)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.37 (1.23&#x02013;1.54)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.08 (0.88&#x02013;1.33)</td>
<td align="char" char="." charoff="50">0.458</td>
<td align="center">1.24 (1.09&#x02013; 1.42)</td>
<td align="char" char="." charoff="50">0.001</td>
</tr>
<tr>
<td align="left"><bold>Associated with odds of CHD</bold></td>
</tr>
<tr>
<td align="left">Education</td>
</tr>
<tr>
<td align="left">&#x02003;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">1.72 (1.54&#x02013;1.93)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.61 (1.20&#x02013;2.15)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.24 (0.86&#x02013;1.79)</td>
<td align="char" char="." charoff="50">0.258</td>
<td align="center">1.29 (0.90&#x02013; 1.83)</td>
<td align="char" char="." charoff="50">0.162</td>
</tr>
<tr>
<td align="left">&#x02003; &#x0003C;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">3.61 (3.11&#x02013;4.19)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.80 (2.07&#x02013;3.78)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.46 (2.29&#x02013;5.22)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">2.14 (1.49&#x02013; 3.10)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">BMI Groups</td>
</tr>
<tr>
<td align="left">&#x02003;Over weight vs. normal</td>
<td align="char" char="(" charoff="50">1.23 (1.11&#x02013;1.36)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.99 (0.76&#x02013;1.28)</td>
<td align="char" char="." charoff="50">0.921</td>
<td align="center">1.46 (0.99&#x02013;2.17)</td>
<td align="char" char="." charoff="50">0.057</td>
<td align="center">1.01 (0.79&#x02013; 1.28)</td>
<td align="char" char="." charoff="50">0.964</td>
</tr>
<tr>
<td align="left">&#x02003;Obesity vs. normal</td>
<td align="char" char="(" charoff="50">1.44 (1.29&#x02013;1.61)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.58 (1.27&#x02013;1.96)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.93 (1.90&#x02013;4.52)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">1.37 (1.07&#x02013; 1.74)</td>
<td align="char" char="." charoff="50">0.012</td>
</tr>
<tr>
<td align="left">Smoking status</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.84 (1.68&#x02013;2.02)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.91 (1.59&#x02013;2.29)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.90 (1.33&#x02013;2.73)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.72 (1.39&#x02013; 2.13)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">1.54 (1.38&#x02013;1.73)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.33 (1.06&#x02013;1.66)</td>
<td align="char" char="." charoff="50">0.013</td>
<td align="center">1.00 (0.56&#x02013;1.77)</td>
<td align="char" char="." charoff="50">0.994</td>
<td align="center">1.27 (0.99&#x02013; 1.63)</td>
<td align="char" char="." charoff="50">0.060</td>
</tr>
<tr>
<td align="left">Alcohol consumption</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.18 (1.04&#x02013;1.35)</td>
<td align="char" char="." charoff="50">0.010</td>
<td align="center">1.69 (1.31&#x02013;2.16)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.77 (1.15&#x02013;2.74)</td>
<td align="char" char="." charoff="50">0.010</td>
<td align="center">1.44 (1.11&#x02013; 1.86)</td>
<td align="char" char="." charoff="50">0.007</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">0.56 (0.50&#x02013;0.63)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.93 (0.74&#x02013;1.16)</td>
<td align="char" char="." charoff="50">0.494</td>
<td align="center">0.47 (0.32&#x02013;0.69)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.001</td>
<td align="center">0.65 (0.52&#x02013; 0.81)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Physical activity</td>
</tr>
<tr>
<td align="left">&#x02003;Insufficiently vs. active</td>
<td align="char" char="(" charoff="50">1.18 (1.06&#x02013;1.32)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">1.79 (1.34&#x02013;2.39)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.11 (0.76&#x02013;1.61)</td>
<td align="char" char="." charoff="50">0.586</td>
<td align="center">0.97 (0.73&#x02013; 1.29)</td>
<td align="char" char="." charoff="50">0.844</td>
</tr>
<tr>
<td align="left">&#x02003;Inactive vs. active</td>
<td align="char" char="(" charoff="50">2.02 (1.81&#x02013;2.25)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.40 (1.89&#x02013;3.05)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.57 (1.05&#x02013;2.35)</td>
<td align="char" char="." charoff="50">0.029</td>
<td align="center">1.66 (1.32&#x02013; 2.10)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" colspan="9" style="background-color:DarkGray;"><bold>(B)</bold></td>
</tr>
<tr>
<td align="left"><bold>Associated with odds of stroke</bold></td>
</tr>
<tr>
<td align="left">Education</td>
</tr>
<tr>
<td align="left">&#x02003;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">1.84 (1.56&#x02013;2.17)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.00 (1.34&#x02013;2.99)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.64 (0.94&#x02013;2.86)</td>
<td align="char" char="." charoff="50">0.083</td>
<td align="center">1.46 (0.84&#x02013; 2.53)</td>
<td align="char" char="." charoff="50">0.183</td>
</tr>
<tr>
<td align="left">&#x02003; &#x0003C;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">3.98 (3.26&#x02013;4.86)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.77 (1.77&#x02013;4.33)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.63 (1.15&#x02013;5.98)</td>
<td align="char" char="." charoff="50">0.022</td>
<td align="center">2.67 (1.48&#x02013; 4.81)</td>
<td align="char" char="." charoff="50">0.001</td>
</tr>
<tr>
<td align="left">BMI Groups</td>
</tr>
<tr>
<td align="left">&#x02003;Over weight vs. normal</td>
<td align="char" char="(" charoff="50">1.16 (0.99&#x02013;1.37)</td>
<td align="char" char="." charoff="50">0.068</td>
<td align="center">0.97 (0.73&#x02013;1.28)</td>
<td align="char" char="." charoff="50">0.819</td>
<td align="center">1.44 (0.77&#x02013;2.70)</td>
<td align="char" char="." charoff="50">0.260</td>
<td align="center">0.74 (0.52&#x02013; 1.05)</td>
<td align="char" char="." charoff="50">0.090</td>
</tr>
<tr>
<td align="left">&#x02003;Obesity vs. normal</td>
<td align="char" char="(" charoff="50">1.23 (1.04&#x02013;1.45)</td>
<td align="char" char="." charoff="50">0.013</td>
<td align="center">0.91 (0.70&#x02013;1.19)</td>
<td align="char" char="." charoff="50">0.494</td>
<td align="center">2.23 (1.08&#x02013;4.61)</td>
<td align="char" char="." charoff="50">0.031</td>
<td align="center">1.08 (0.74&#x02013; 1.58)</td>
<td align="char" char="." charoff="50">0.696</td>
</tr>
<tr>
<td align="left">Smoking status</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.55 (1.36&#x02013;1.77)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.89 (1.49&#x02013;2.39)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.53 (0.86&#x02013;2.73)</td>
<td align="char" char="." charoff="50">0.149</td>
<td align="center">1.60 (1.12&#x02013; 2.29)</td>
<td align="char" char="." charoff="50">0.011</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">1.71 (1.45&#x02013;2.01)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.00 (1.56&#x02013;2.55)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.53 (0.23&#x02013;1.25)</td>
<td align="char" char="." charoff="50">0.147</td>
<td align="center">1.51 (0.95&#x02013; 2.39)</td>
<td align="char" char="." charoff="50">0.084</td>
</tr>
<tr>
<td align="left">Alcohol consumption</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.10 (0.92&#x02013;1.31)</td>
<td align="char" char="." charoff="50">0.298</td>
<td align="center">1.54 (1.19&#x02013;1.98)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.32 (0.72&#x02013;2.41)</td>
<td align="char" char="." charoff="50">0.368</td>
<td align="center">1.76 (1.17&#x02013; 2.66)</td>
<td align="char" char="." charoff="50">0.007</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">0.43 (0.36&#x02013;0.51)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.77 (0.59&#x02013;0.99)</td>
<td align="char" char="." charoff="50">0.045</td>
<td align="center">0.23 (0.11&#x02013;0.48)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">0.66 (0.46&#x02013; 0.94)</td>
<td align="char" char="." charoff="50">0.021</td>
</tr>
<tr>
<td align="left">Physical activity</td>
</tr>
<tr>
<td align="left">&#x02003;Insufficiently vs. active</td>
<td align="char" char="(" charoff="50">1.39 (1.15&#x02013;1.67)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.18 (0.81&#x02013;1.72)</td>
<td align="char" char="." charoff="50">0.385</td>
<td align="center">1.27 (0.57&#x02013;2.84)</td>
<td align="char" char="." charoff="50">0.562</td>
<td align="center">1.35 (0.90&#x02013; 2.02)</td>
<td align="char" char="." charoff="50">0.145</td>
</tr>
<tr>
<td align="left">&#x02003;Inactive vs. active</td>
<td align="char" char="(" charoff="50">2.91 (2.45&#x02013;3.45)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.81 (1.29&#x02013;2.52)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">1.59 (0.76&#x02013;3.32)</td>
<td align="char" char="." charoff="50">0.215</td>
<td align="center">1.67 (1.18&#x02013; 2.38)</td>
<td align="char" char="." charoff="50">0.004</td>
</tr>
<tr>
<td align="left"><bold>Associated with odds of DM</bold></td>
</tr>
<tr>
<td align="left">Education</td>
</tr>
<tr>
<td align="left">&#x02003;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">1.75 (1.59&#x02013;1.92)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.47 (1.22&#x02013;1.77)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.22 (0.96&#x02013;1.55)</td>
<td align="char" char="." charoff="50">0.101</td>
<td align="center">1.76 (1.40&#x02013; 2.22)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;&#x0003C;HS vs. &#x02265;college</td>
<td align="char" char="(" charoff="50">2.50 (2.17&#x02013;2.87)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.80 (1.43&#x02013;2.27)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">1.58 (1.13&#x02013;2.22)</td>
<td align="char" char="." charoff="50">0.008</td>
<td align="center">2.52 (2.02&#x02013; 3.15)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">BMI Groups</td>
</tr>
<tr>
<td align="left">&#x02003;Over weight vs. normal</td>
<td align="char" char="(" charoff="50">2.18 (1.95&#x02013;2.43)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.81 (1.49&#x02013;2.20)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.01 (1.53&#x02013;2.65)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">1.73 (1.40&#x02013; 2.14)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Obesity vs. normal</td>
<td align="char" char="(" charoff="50">5.42 (4.86&#x02013;6.04)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.22 (2.68&#x02013;3.87)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.78 (2.68&#x02013;5.35)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">3.34 (2.72&#x02013; 4.11)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Smoking status</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.26 (1.16&#x02013;1.37)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.64 (1.39&#x02013;1.93)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.20 (0.90&#x02013;1.62)</td>
<td align="char" char="." charoff="50">0.217</td>
<td align="center">1.66 (1.40&#x02013; 1.96)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">0.99 (0.89&#x02013;1.11)</td>
<td align="char" char="." charoff="50">0.844</td>
<td align="center">0.95 (0.80&#x02013;1.14)</td>
<td align="char" char="." charoff="50">0.610</td>
<td align="center">0.87 (0.59&#x02013;1.29)</td>
<td align="char" char="." charoff="50">0.501</td>
<td align="center">1.09 (0.88&#x02013; 1.37)</td>
<td align="char" char="." charoff="50">0.433</td>
</tr>
<tr>
<td align="left">Alcohol consumption</td>
</tr>
<tr>
<td align="left">&#x02003;Former vs. never</td>
<td align="char" char="(" charoff="50">1.09 (0.98&#x02013;1.21)</td>
<td align="char" char="." charoff="50">0.121</td>
<td align="center">1.42 (1.17&#x02013;1.72)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
<td align="center">1.20 (0.84&#x02013;1.70)</td>
<td align="char" char="." charoff="50">0.316</td>
<td align="center">1.35 (1.12&#x02013; 1.64)</td>
<td align="char" char="." charoff="50">0.002</td>
</tr>
<tr>
<td align="left">&#x02003;Current vs. never</td>
<td align="char" char="(" charoff="50">0.51 (0.47&#x02013;0.56)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.71 (0.62&#x02013;0.83)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.63 (0.48&#x02013;0.84)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="center">0.68 (0.58&#x02013; 0.81)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Physical activity</td>
</tr>
<tr>
<td align="left">&#x02003;Insufficiently vs. active</td>
<td align="char" char="(" charoff="50">1.49 (1.35&#x02013;1.63)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.23 (1.00&#x02013;1.50)</td>
<td align="char" char="." charoff="50">0.047</td>
<td align="center">1.52 (1.10&#x02013;2.08)</td>
<td align="char" char="." charoff="50">0.010</td>
<td align="center">1.12 (0.92&#x02013; 1.37)</td>
<td align="char" char="." charoff="50">0.260</td>
</tr>
<tr>
<td align="left">&#x02003;Inactive vs. active</td>
<td align="char" char="(" charoff="50">1.99 (1.81&#x02013;2.19)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.45 (1.23&#x02013;1.72)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.94 (1.42&#x02013;2.65)</td>
<td align="char" char="." charoff="50">&#x0003C; 0.0001</td>
<td align="center">1.38 (1.17&#x02013; 1.63)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>NH, non-hispanic; HBP, hypertension; CHD, coronary heart disease; HS, high school; BMI, body mass index (kg/m<sup>2</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Subjects who were former smokers had significantly higher odds ratios for hypertension, CHD, stroke, and DM in NH-Whites, NH-Blacks, and Hispanics, and for hypertension and CHD in NH-Asians. Current smokers had significantly higher odds ratios for hypertension, CHD, and stroke in NH-Whites and NH-Blacks, and for hypertension in Hispanics, and borderline significance for CHD (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.06) and stroke (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.084) in Hispanics.</p>
<p>Former drinkers had higher odds ratios for hypertension, CHD, stroke, and DM across all racial/ethnic groups. However, current drinkers appeared to have an inverse association with hypertension, CHD, stroke, and DM in NH-Whites, NH-Asians, and Hispanics, but this inverse association was less consistent in NH-Blacks.</p>
<p>Physical inactivity was positively and significantly associated with odds of hypertension, CHD, stroke, and DM in NH-Whites, NH-Blacks, and Hispanics. This positive and significant association was observed only for CHD and DM in NH-Asians.</p>
</sec>
<sec id="S3-4">
<title>Multivariate adjusted odds of cardiovascular conditions by racial/ethnic groups</title>
</sec>
<sec id="S3-5">
<title>NH-Blacks, NH-Asians, and Hispanics vs. NH-Whites</title>
<p>Table <xref ref-type="table" rid="T3">3</xref> and Figure <xref ref-type="fig" rid="F1">1</xref>A show that after adjustment for age, sex, education, smoking, alcohol consumption, physical activity status, and obesity (Model 4 in Table <xref ref-type="table" rid="T3">3</xref>), NH-Blacks had significantly higher odds of hypertension (OR&#x02009;&#x0003D;&#x02009;1.48, 95% CI: 1.37&#x02013;1.61, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001) as compared to NH-Whites. However, Hispanics had significantly lower odds of hypertension than NH-Whites (OR&#x02009;&#x0003D;&#x02009;0.74, 95% CI: 0.68&#x02013;0.80, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001). NH-Blacks, NH-Asians, and Hispanics had significantly lower odds of CHD than NH-Whites. NH-Asians and Hispanics, except NH-Blacks had significantly lower odds of stroke than NH-Whites. It is of importance that all racial/ethnic minority groups (NH-Blacks, NH-Asians, and Hispanics) had significantly higher odds ratios for DM than NH-Whites (Figure <xref ref-type="fig" rid="F1">1</xref>A and Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption>
<p><bold>Odds ratios (95% CI) of race/ethnicity differences (reference to NH-White) for hypertension, CHD, stroke, and DM</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Covariates</th>
<th align="center">NH-Whites (<italic>n</italic>&#x02009;&#x0003D;&#x02009;41641)<hr/></th>
<th align="center" colspan="2">NH-Blacks (<italic>n</italic>&#x02009;&#x0003D;&#x02009;10600)<hr/></th>
<th align="center" colspan="2">NH-Asians (<italic>n</italic>&#x02009;&#x0003D;&#x02009;4278)<hr/></th>
<th align="center" colspan="2">Hispanics (<italic>n</italic>&#x02009;&#x0003D;&#x02009;11802)<hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="center">Ref</th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Hypertension</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">1.77 (1.67&#x02013;1.89)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.79 (0.72&#x02013; 0.86)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.87 (0.82&#x02013; 0.92)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">1.64 (1.55&#x02013;1.74)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.83 (0.76&#x02013; 0.92)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
<td align="center">0.73 (0.68&#x02013; 0.77)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">1.61 (1.51&#x02013;1.71)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.80 (0.72&#x02013; 0.88)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.72 (0.68&#x02013; 0.77)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="center">1.48 (1.37&#x02013;1.61)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.90 (0.81&#x02013; 1.00)</td>
<td align="char" char="." charoff="50">0.056</td>
<td align="center">0.74 (0.68&#x02013; 0.80)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Coronary heart disease</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">0.98 (0.89&#x02013;1.08)</td>
<td align="char" char="." charoff="50">0.714</td>
<td align="center">0.61 (0.50&#x02013; 0.73)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.81 (0.72&#x02013; 0.91)</td>
<td align="char" char="." charoff="50">0.000</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">0.86 (0.78&#x02013;0.95)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">0.65 (0.54&#x02013; 0.78)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.61 (0.54&#x02013; 0.69)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">0.80 (0.72&#x02013;0.90)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.62 (0.51&#x02013; 0.75)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.62 (0.55&#x02013; 0.71)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="center">0.66 (0.58&#x02013;0.76)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.54 (0.44&#x02013; 0.68)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.59 (0.51&#x02013; 0.69)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">Stroke</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">1.41 (1.25&#x02013;1.58)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">0.65 (0.49&#x02013; 0.86)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">0.95 (0.81&#x02013; 1.10)</td>
<td align="char" char="." charoff="50">0.478</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">1.21 (1.07&#x02013;1.37)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="center">0.70 (0.52&#x02013; 0.93)</td>
<td align="char" char="." charoff="50">0.013</td>
<td align="center">0.70 (0.60&#x02013; 0.82)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">1.15 (1.01&#x02013;1.32)</td>
<td align="char" char="." charoff="50">0.037</td>
<td align="center">0.65 (0.48&#x02013; 0.89)</td>
<td align="char" char="." charoff="50">0.006</td>
<td align="center">0.72 (0.61&#x02013; 0.85)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="center">1.14 (0.95&#x02013;1.36)</td>
<td align="char" char="." charoff="50">0.161</td>
<td align="center">0.60 (0.43&#x02013; 0.84)</td>
<td align="char" char="." charoff="50">0.003</td>
<td align="center">0.66 (0.53&#x02013; 0.83)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">1.78 (1.66&#x02013;1.92)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.16 (1.02&#x02013; 1.32)</td>
<td align="char" char="." charoff="50">0.023</td>
<td align="center">1.68 (1.54&#x02013; 1.83)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">1.63 (1.52&#x02013;1.75)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.23 (1.08&#x02013; 1.40)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="center">1.38 (1.26&#x02013; 1.51)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">1.53 (1.42&#x02013;1.65)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.10 (0.96&#x02013; 1.26)</td>
<td align="char" char="." charoff="50">0.152</td>
<td align="center">1.35 (1.22&#x02013; 1.48)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="center">1.72 (1.55&#x02013;1.91)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.54 (1.30&#x02013; 1.82)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.55 (1.35&#x02013; 1.78)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>NH, non-hispanic</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption>
<p><bold>Adjusted odds ratios (95% CI) of hypertension, CHD, stroke and DM for NH-Blacks, NH-Asians, and Hispanics vs. NH-Whites [(A), Models 1 and 4 in Table <xref ref-type="table" rid="T3">3</xref>], Sub-groups of NH-Asians vs. NH-Whites [(B), Models 1 and 4 in Table <xref ref-type="table" rid="T4">4</xref>], and Sub-groups of NH-Asians vs. Chinese Americans [(C), Models 1 and 4 in Table <xref ref-type="table" rid="T5">5</xref>] &#x02013; U.S. 2012 and 2013 National Health Interview Surveys</bold>.</p>
</caption>
<graphic xlink:href="fcvm-01-00008-g001.tif"/>
</fig>
</sec>
<sec id="S3-6">
<title>Sub-groups of NH-Asians compared to NH-Whites</title>
<p>Figure <xref ref-type="fig" rid="F1">1</xref>B and Table <xref ref-type="table" rid="T4">4</xref> show that among sub-groups of NH-Asians, Filipino Americans had higher odds of hypertension (OR&#x02009;&#x0003D;&#x02009;1.25, 95% CI: 1.01&#x02013;1.55, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.044, Model 4) than NH-Whites. Indian Americans had significantly higher odds ratios for DM (OR&#x02009;&#x0003D;&#x02009;2.13, 95% CI: 1.51&#x02013;3.01, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.001), followed by Filipino Americans (OR&#x02009;&#x0003D;&#x02009;1.87, 95% CI; 1.41&#x02013;2.48) as compared to NH-Whites. Chinese Americans had significantly lower odds of hypertension, CHD, and stroke as compared to NH-Whites.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption>
<p><bold>Odds ratios (95% CI) of NH-Asians sub-groups (reference to NH-Whites) for hypertension, CHD, stroke, and DM</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Adjusted covariates</th>
<th align="center"/>
<th align="center" colspan="6">NH-Asians<hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="center">NH-Whites (<italic>n</italic>&#x02009;&#x0003D;&#x02009;41641)<hr/></th>
<th align="center" colspan="2">Chinese (<italic>n</italic>&#x02009;&#x0003D;&#x02009;903)<hr/></th>
<th align="center" colspan="2">Indian (<italic>n</italic>&#x02009;&#x0003D;&#x02009;819)<hr/></th>
<th align="center" colspan="2">Filipino (<italic>n</italic>&#x02009;&#x0003D;&#x02009;931)<hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="center">Ref</th>
<th align="left">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="left">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="left">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Hypertension</td>
</tr>
<tr>
<td align="left">&#x02003;M1 Age-sex-adjusted</td>
<td align="center">1</td>
<td align="left">0.62 (0.51&#x02013;0.76)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="left">0.64 (0.51&#x02013; 0.79)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="left">1.18 (0.99&#x02013; 1.40)</td>
<td align="char" char="." charoff="50">0.060</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="left">0.69 (0.57&#x02013;0.84)</td>
<td align="char" char="." charoff="50">0.000</td>
<td align="left">0.73 (0.58&#x02013; 0.91)</td>
<td align="char" char="." charoff="50">0.006</td>
<td align="left">1.22 (1.02&#x02013; 1.46)</td>
<td align="char" char="." charoff="50">0.028</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="left">0.64 (0.53&#x02013;0.78)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="left">0.65 (0.51&#x02013; 0.83)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="left">1.14 (0.94&#x02013; 1.39)</td>
<td align="char" char="." charoff="50">0.171</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="left">0.77 (0.62&#x02013;0.94)</td>
<td align="char" char="." charoff="50">0.013</td>
<td align="left">0.78 (0.60&#x02013; 1.01)</td>
<td align="char" char="." charoff="50">0.063</td>
<td align="left">1.25 (1.01&#x02013; 1.55)</td>
<td align="char" char="." charoff="50">0.044</td>
</tr>
<tr>
<td align="left">Coronary heart disease</td>
</tr>
<tr>
<td align="left">&#x02003;M1 Age-sex-adjusted</td>
<td align="center">1</td>
<td align="left">0.49 (0.30&#x02013;0.79)</td>
<td align="char" char="." charoff="50">0.004</td>
<td align="left">0.64 (0.40&#x02013; 1.02)</td>
<td align="char" char="." charoff="50">0.060</td>
<td align="left">0.85 (0.61&#x02013; 1.18)</td>
<td align="char" char="." charoff="50">0.326</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="left">0.54 (0.33&#x02013;0.87)</td>
<td align="char" char="." charoff="50">0.012</td>
<td align="left">0.72 (0.45&#x02013; 1.15)</td>
<td align="char" char="." charoff="50">0.167</td>
<td align="left">0.89 (0.64&#x02013; 1.24)</td>
<td align="char" char="." charoff="50">0.496</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="left">0.54 (0.34&#x02013;0.85)</td>
<td align="char" char="." charoff="50">0.009</td>
<td align="left">0.65 (0.40&#x02013; 1.04)</td>
<td align="char" char="." charoff="50">0.074</td>
<td align="left">0.82 (0.58&#x02013; 1.16)</td>
<td align="char" char="." charoff="50">0.262</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="left">0.46 (0.28&#x02013;0.75)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="left">0.65 (0.39&#x02013; 1.10)</td>
<td align="char" char="." charoff="50">0.108</td>
<td align="left">0.73 (0.48&#x02013; 1.11)</td>
<td align="char" char="." charoff="50">0.140</td>
</tr>
<tr>
<td align="left">Stroke</td>
</tr>
<tr>
<td align="left">&#x02003;M1 Age-sex-adjusted</td>
<td align="center">1</td>
<td align="left">0.48 (0.24&#x02013;0.98)</td>
<td align="char" char="." charoff="50">0.042</td>
<td align="left">0.36 (0.13&#x02013; 1.02)</td>
<td align="char" char="." charoff="50">0.055</td>
<td align="left">0.61 (0.34&#x02013; 1.09)</td>
<td align="char" char="." charoff="50">0.094</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="left">0.54 (0.26&#x02013;1.10)</td>
<td align="char" char="." charoff="50">0.088</td>
<td align="left">0.41 (0.14&#x02013; 1.17)</td>
<td align="char" char="." charoff="50">0.095</td>
<td align="left">0.65 (0.36&#x02013; 1.16)</td>
<td align="char" char="." charoff="50">0.141</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="left">0.52 (0.26&#x02013;1.05)</td>
<td align="char" char="." charoff="50">0.067</td>
<td align="left">0.35 (0.13&#x02013; 1.00)</td>
<td align="char" char="." charoff="50">0.050</td>
<td align="left">0.55 (0.28&#x02013; 1.05)</td>
<td align="char" char="." charoff="50">0.068</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="left">0.37 (0.16&#x02013;0.83)</td>
<td align="char" char="." charoff="50">0.017</td>
<td align="left">0.40 (0.14&#x02013; 1.14)</td>
<td align="char" char="." charoff="50">0.086</td>
<td align="left">0.63 (0.32&#x02013; 1.24)</td>
<td align="char" char="." charoff="50">0.179</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
</tr>
<tr>
<td align="left">&#x02003;M1 Age-sex-adjusted</td>
<td align="center">1</td>
<td align="left">0.52 (0.37&#x02013;0.75)</td>
<td align="char" char="." charoff="50">0.000</td>
<td align="left">1.38 (1.03&#x02013; 1.86)</td>
<td align="char" char="." charoff="50">0.032</td>
<td align="left">1.58 (1.30&#x02013; 1.92)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="left">0.57 (0.38&#x02013;0.84)</td>
<td align="char" char="." charoff="50">0.005</td>
<td align="left">1.62 (1.20&#x02013; 2.19)</td>
<td align="char" char="." charoff="50">0.002</td>
<td align="left">1.68 (1.37&#x02013; 2.05)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="left">0.49 (0.32&#x02013;0.73)</td>
<td align="char" char="." charoff="50">0.001</td>
<td align="left">1.32 (0.97&#x02013; 1.79)</td>
<td align="char" char="." charoff="50">0.078</td>
<td align="left">1.50 (1.21&#x02013; 1.85)</td>
<td align="char" char="." charoff="50">0.000</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="left">0.72 (0.46&#x02013;1.15)</td>
<td align="char" char="." charoff="50">0.168</td>
<td align="left">2.13 (1.51&#x02013; 3.01)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="left">1.87 (1.41&#x02013; 2.48)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>NH, non-hispanic</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Figure <xref ref-type="fig" rid="F1">1</xref>C and Table <xref ref-type="table" rid="T5">5</xref> show that as compared to Chinese Americans, Filipino Americans had significantly higher odds ratios for hypertension (OR&#x02009;&#x0003D;&#x02009;1.76, 95% CI: 1.32&#x02013;2.34, Model 4). Filipinos, Indians, and other Asian groups (Japanese, Koreans, and all others) had significantly higher odds ratios for DM in the U.S., the corresponding odds ratios (95% CI) were 2.86 (1.71-4.80), 2.56 (1.57&#x02013;4.17), and 2.09 (1.27&#x02013;3.42), respectively.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption>
<p><bold>Odds ratios (95% CI) of NH-Asian sub-groups (reference to Chinese) for hypertension, CHD, stroke, and DM</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Adjusted covariates</th>
<th align="center">Chinese (<italic>n</italic>&#x02009;&#x0003D;&#x02009;907)<hr/></th>
<th align="center" colspan="2">Indian (<italic>n</italic>&#x02009;&#x0003D;&#x02009;819)<hr/></th>
<th align="center" colspan="2">Filipino (<italic>n</italic>&#x02009;&#x0003D;&#x02009;931)<hr/></th>
<th align="center" colspan="2">Other Asian group (<italic>n</italic>&#x02009;&#x0003D;&#x02009;1621)<hr/></th>
</tr>
<tr>
<th align="left"/>
<th align="center">Ref</th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Hypertension</td>
</tr>
<tr>
<td align="left">&#x02003;M1 Age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">1.09 (0.81&#x02013;1.45)</td>
<td align="char" char="." charoff="50">0.583</td>
<td align="center">1.93 (1.48&#x02013; 2.52)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.20 (0.94&#x02013; 1.53)</td>
<td align="char" char="." charoff="50">0.152</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">1.08 (0.81&#x02013;1.45)</td>
<td align="char" char="." charoff="50">0.609</td>
<td align="center">1.87 (1.42&#x02013; 2.45)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.16 (0.91&#x02013; 1.48)</td>
<td align="char" char="." charoff="50">0.221</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">1.05 (0.78&#x02013;1.41)</td>
<td align="char" char="." charoff="50">0.752</td>
<td align="center">1.91 (1.46&#x02013; 2.50)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">1.18 (0.93&#x02013; 1.51)</td>
<td align="char" char="." charoff="50">0.174</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;obesity</td>
<td align="center">1</td>
<td align="center">1.03 (0.74&#x02013;1.45)</td>
<td align="char" char="." charoff="50">0.856</td>
<td align="center">1.76 (1.32&#x02013; 2.34)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
<td align="center">1.14 (0.87&#x02013; 1.50)</td>
<td align="char" char="." charoff="50">0.329</td>
</tr>
<tr>
<td align="left">Coronary heart disease</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">1.32 (0.70&#x02013;2.52)</td>
<td align="char" char="." charoff="50">0.392</td>
<td align="center">1.72 (0.96&#x02013; 3.10)</td>
<td align="char" char="." charoff="50">0.069</td>
<td align="center">1.06 (0.63&#x02013; 1.80)</td>
<td align="char" char="." charoff="50">0.827</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">1.33 (0.70&#x02013;2.52)</td>
<td align="char" char="." charoff="50">0.393</td>
<td align="center">1.69 (0.94&#x02013; 3.03)</td>
<td align="char" char="." charoff="50">0.081</td>
<td align="center">1.01 (0.60&#x02013; 1.72)</td>
<td align="char" char="." charoff="50">0.957</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">1.20 (0.64&#x02013;2.22)</td>
<td align="char" char="." charoff="50">0.573</td>
<td align="center">1.60 (0.90&#x02013; 2.84)</td>
<td align="char" char="." charoff="50">0.108</td>
<td align="center">0.93 (0.56&#x02013; 1.56)</td>
<td align="char" char="." charoff="50">0.796</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;obesity</td>
<td align="center">1</td>
<td align="center">1.39 (0.73&#x02013;2.66)</td>
<td align="char" char="." charoff="50">0.318</td>
<td align="center">1.69 (0.90&#x02013; 3.15)</td>
<td align="char" char="." charoff="50">0.102</td>
<td align="center">0.95 (0.57&#x02013; 1.60)</td>
<td align="char" char="." charoff="50">0.850</td>
</tr>
<tr>
<td align="left">Stroke</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">0.80 (0.27&#x02013;2.39)</td>
<td align="char" char="." charoff="50">0.695</td>
<td align="center">1.24 (0.49&#x02013; 3.12)</td>
<td align="char" char="." charoff="50">0.648</td>
<td align="center">1.85 (0.90&#x02013; 3.83)</td>
<td align="char" char="." charoff="50">0.096</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">0.81 (0.27&#x02013;2.41)</td>
<td align="char" char="." charoff="50">0.705</td>
<td align="center">1.19 (0.47&#x02013; 3.02)</td>
<td align="char" char="." charoff="50">0.707</td>
<td align="center">1.76 (0.85&#x02013; 3.64)</td>
<td align="char" char="." charoff="50">0.128</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">0.72 (0.25&#x02013;2.06)</td>
<td align="char" char="." charoff="50">0.541</td>
<td align="center">1.18 (0.45&#x02013; 3.08)</td>
<td align="char" char="." charoff="50">0.731</td>
<td align="center">1.66 (0.81&#x02013; 3.37)</td>
<td align="char" char="." charoff="50">0.165</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;obesity</td>
<td align="center">1</td>
<td align="center">1.24 (0.40&#x02013;3.82)</td>
<td align="char" char="." charoff="50">0.713</td>
<td align="center">1.79 (0.60&#x02013; 5.32)</td>
<td align="char" char="." charoff="50">0.295</td>
<td align="center">1.86 (0.78&#x02013; 4.40)</td>
<td align="char" char="." charoff="50">0.161</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
</tr>
<tr>
<td align="left">&#x02003;M1 age-sex-adjusted</td>
<td align="center">1</td>
<td align="center">2.74 (1.78&#x02013;4.21)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.04 (2.07&#x02013; 4.47)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.27 (1.54&#x02013; 3.37)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left">&#x02003;M2 M1&#x02009;&#x0002B;&#x02009;education</td>
<td align="center">1</td>
<td align="center">2.84 (1.80&#x02013;4.49)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.08 (2.04&#x02013; 4.64)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.28 (1.51&#x02013; 3.46)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">&#x02003;M3 M2&#x02009;&#x0002B;&#x02009;behavior factors</td>
<td align="center">1</td>
<td align="center">2.74 (1.72&#x02013;4.35)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">3.11 (1.99&#x02013; 4.86)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.32 (1.49&#x02013; 3.60)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">&#x02003;M4 M3&#x02009;&#x0002B;&#x02009;Obesity</td>
<td align="center">1</td>
<td align="center">2.86 (1.71&#x02013;4.80)</td>
<td align="char" char="." charoff="50">&#x0003C;0.0001</td>
<td align="center">2.56 (1.57&#x02013; 4.17)</td>
<td align="char" char="." charoff="50">&#x0003C;0.001</td>
<td align="center">2.09 (1.27&#x02013; 3.42)</td>
<td align="char" char="." charoff="50">0.004</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The present study, using data from nationally representative samples of the U.S. NHIS provides new evidence of cardiovascular epidemiology and heath disparity across the four largest racial/ethnic populations in the U.S. The results confirm that NH-Blacks had significantly higher odds of hypertension, and NH-Blacks, NH-Asians, and Hispanics had significantly higher odds of DM than NH-Whites. However, NH-Whites had significantly higher odd of CHD than NH-Blacks, NH-Asians, and Hispanics.</p>
<p>Beyond traditional thoughts that Asians including Asian Americans had lower risk of CVD as compared to the West, the present study is the first to examine and add new evidence to the body of literature regarding CVD risk, that of sub-groups of NH-Asians, Filipino Americans had significantly higher odds of hypertension than NH-Whites. Filipino and Indian Americans had significantly higher odds of DM than NH-Whites. These findings related to South Asians are consistent with our recent studies using data from the WHO coordinated World Health Surveys. A higher risk and prevalence of obesity and insulin resistance in South Asians might partially explain the racial and ethnic differences between South Asians and Whites (<xref ref-type="bibr" rid="B9">9</xref>). As there was no previous report that used a representative sample of Filipino Americans on the comparison of the study of interest between NH-Whites, and no data on serum and urine biomarker measures in the NHIS, we are unable to explain the racial and ethnic difference using the present data. Nevertheless, from prevention point of view, findings from the present study have an immediate impact on creating appropriate prevention strategies of CVD and DM across NH-Asian populations in the U.S.</p>
<p>In the study, we further observed that cigarette smoking appeared to have a lower impact (assessed by age-sex-adjusted odds ratios) on the risk of hypertension, CHD, stroke, and DM, but obesity appeared to have a higher impact on hypertension, CHD, and stroke in NH-Asians as compared to NH-Whites, NH-Blacks, and Hispanics. Although it is beyond the scope of further examination and discussion in the present study, the findings may emphasize that there are potentially different effects of different risk factors on the study outcomes by different race/ethnicity. It absolutely calls for further etiologic and mechanism studies.</p>
<p>As compared to former smokers, current smokers appeared to have lower odds of hypertension, CHD, stroke, and DM. It is likely due to the study data from cross-sectional designs that may cause &#x0201C;prevalence bias.&#x0201D; It may have occurred that patients with previous smoking status quit smoking after they were diagnosed with a disease (<xref ref-type="bibr" rid="B10">10</xref>). On alcohol consumption, former drinkers had a higher risk of hypertension, CHD, stroke, and DM. However, current drinking showed a protective effect on the study outcomes across all racial/ethnic groups. Although a possible &#x0201C;prevalence bias&#x0201D; may exist in this association as well, several studies have suggested there is a U-shaped association of alcohol consumption with CVD and DM (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The present study has several strengths. First, the results, on the basis of nationally representative datasets, provide new evidence of cardiovascular health and disparity across multi-racial/ethnic populations in the U.S. Although racial/ethnic disparities in CVD and DM have been reported in a number of studies, data from sub-groups of NH-Asian population is extremely limited. The current study fills in this gap by using a large-scale dataset from the NHIS. Finally, findings from the study not only add to new evidence of multiple minority cardiovascular health status, but also further address the importance of SES and lifestyle-related factors as predictors of cardiovascular health.</p>
<p>Similar to any study, the present study has several limitations. First, the findings are on the basis of data obtained from cross-sectional surveys, therefore, any cause-effect association between the predictors and outcomes cannot be interpreted (<xref ref-type="bibr" rid="B10">10</xref>). Second, the study outcomes were self-reports of physician-diagnosis of diseases (hypertension, CHD, stroke, and DM), information bias may occur. It should be noted that self-reports of physician-diagnosis of disease have been confirmed as a valid approach in population health surveys (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Third, the present study may have underestimated the prevalence of hypertension, CHD, stroke, and DM because no physical examination and measures of biomarkers from the blood sample were conducted. Last, but not least, the sample sizes of subgroups of NH-Asians are still small, as shown by a wider OR 95% CI (Figure <xref ref-type="fig" rid="F1">1</xref>C), further studies are needed by increasing the study sample sizes.</p>
<p>Despite these limitations, two clear and important conclusions follow the present study. First, CVD and DM disproportionately affect the U.S. multi-racial and ethnic population. Second, although lifestyle-related risk factors are significantly associated with increased odds of CVD and DM, the magnitudes of these factors on the study outcomes are different by racial and ethnic groups.</p>
</sec>
<sec id="S5">
<title>Author Contributions</title>
<p>Longjian Liu and Ana E. N&#x000FA;&#x01E45;ez made the analysis design. Longjian Liu and Hui Liu did data analysis. Longjian Liu wrote the manuscript. Yuan An, Ming Chen, Jixiang Ma, Edgar Y. Chou, Zhengming Chen and Howard J. Eisen did critical review and gave valuable comments on this paper.</p>
</sec>
<sec id="S6">
<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>
<ack>
<p>The study used data from the National Health Interview Surveys (NHIS). Points of view are those of the author and do not necessarily represent the position of the NHIS. Our thanks go to Nikhil Shah, MPH, and Madison Davidson, MPH in the School of Public Health for their careful proofreading of the latest version of the manuscript.</p>
</ack>
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