Increasing Area Deprivation and Socioeconomic Inequalities in Heart Disease, Stroke, and Cardiovascular Disease Mortality Among Working Age Populations, United States, 1969-2011
Identifieur interne : 002573 ( Pmc/Corpus ); précédent : 002572; suivant : 002574Increasing Area Deprivation and Socioeconomic Inequalities in Heart Disease, Stroke, and Cardiovascular Disease Mortality Among Working Age Populations, United States, 1969-2011
Auteurs : Gopal K. Singh ; Mohammad Siahpush ; Romuladus E. Azuine ; Shanita D. WilliamsSource :
- International journal of MCH and AIDS [ 2161-8674 ] ; 2015.
Abstract
We examined the extent to which area- and individual-level socioeconomic inequalities in cardiovascular-disease (CVD), heart disease, and stroke mortality among United States men and women aged 25-64 years changed between 1969 and 2011.
National vital statistics data and the National Longitudinal Mortality Study were used to estimate area- and individual-level socioeconomic gradients in mortality over time. Rate ratios and log-linear and Cox regression were used to model mortality trends and differentials.
Area socioeconomic gradients in mortality from CVD, heart disease, and stroke increased substantially during the study period. Compared to those in the most affluent group, individuals in the most deprived area group had, respectively 35%, 29%, and 73% higher CVD, heart disease, and stroke mortality in 1969, but 120-121% higher mortality in 2007-2011. Gradients were steeper for women than for men. Education, income, and occupation were inversely associated with CVD, heart disease, and stroke mortality, with individual-level socioeconomic gradients being steeper during 1990-2002 than in 1979-1989. Individuals with low education and incomes had 2.7 to 3.7 times higher CVD, heart disease, and stroke mortality risks than their counterparts with high education and income levels.
Although mortality declined for all US groups during 1969-2011, socioeconomic disparities in mortality from CVD, heart disease and stroke remained marked and increased over time because of faster declines in mortality among higher socioeconomic groups. Widening disparities in mortality may reflect increasing temporal areal inequalities in living conditions, behavioral risk factors such as smoking, obesity and physical inactivity, and access to and use of health services. With social inequalities and prevalence of smoking, obesity, and physical inactivity on the rise, most segments of the working-age population in low- and middle-income countries will likely experience increased cardiovascular-disease burden in terms of higher morbidity and mortality rates.
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PubMed: 27621992
PubMed Central: 5005987
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Increasing Area Deprivation and Socioeconomic Inequalities in Heart Disease, Stroke, and Cardiovascular Disease Mortality Among Working Age Populations, United States, 1969-2011</title><author><name sortKey="Singh, Gopal K" sort="Singh, Gopal K" uniqKey="Singh G" first="Gopal K." last="Singh">Gopal K. Singh</name><affiliation><nlm:aff id="aff1">The Center for Global Health and Health Policy, Global Health and Education Projects, Riverdale, Maryland 20738, USA</nlm:aff></affiliation></author><author><name sortKey="Siahpush, Mohammad" sort="Siahpush, Mohammad" uniqKey="Siahpush M" first="Mohammad" last="Siahpush">Mohammad Siahpush</name><affiliation><nlm:aff id="aff2">University of Nebraska Medical Center, Department of Health Promotion, Social and Behavioral Health, Omaha, NE 68198-4365, USA</nlm:aff></affiliation></author><author><name sortKey="Azuine, Romuladus E" sort="Azuine, Romuladus E" uniqKey="Azuine R" first="Romuladus E." last="Azuine">Romuladus E. Azuine</name><affiliation><nlm:aff id="aff1">The Center for Global Health and Health Policy, Global Health and Education Projects, Riverdale, Maryland 20738, USA</nlm:aff></affiliation></author><author><name sortKey="Williams, Shanita D" sort="Williams, Shanita D" uniqKey="Williams S" first="Shanita D." last="Williams">Shanita D. Williams</name><affiliation><nlm:aff id="aff3">US Department of Health and Human Services, Rockville, Maryland 20857, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27621992</idno><idno type="pmc">5005987</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005987</idno><idno type="RBID">PMC:5005987</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">002573</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002573</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Increasing Area Deprivation and Socioeconomic Inequalities in Heart Disease, Stroke, and Cardiovascular Disease Mortality Among Working Age Populations, United States, 1969-2011</title><author><name sortKey="Singh, Gopal K" sort="Singh, Gopal K" uniqKey="Singh G" first="Gopal K." last="Singh">Gopal K. Singh</name><affiliation><nlm:aff id="aff1">The Center for Global Health and Health Policy, Global Health and Education Projects, Riverdale, Maryland 20738, USA</nlm:aff></affiliation></author><author><name sortKey="Siahpush, Mohammad" sort="Siahpush, Mohammad" uniqKey="Siahpush M" first="Mohammad" last="Siahpush">Mohammad Siahpush</name><affiliation><nlm:aff id="aff2">University of Nebraska Medical Center, Department of Health Promotion, Social and Behavioral Health, Omaha, NE 68198-4365, USA</nlm:aff></affiliation></author><author><name sortKey="Azuine, Romuladus E" sort="Azuine, Romuladus E" uniqKey="Azuine R" first="Romuladus E." last="Azuine">Romuladus E. Azuine</name><affiliation><nlm:aff id="aff1">The Center for Global Health and Health Policy, Global Health and Education Projects, Riverdale, Maryland 20738, USA</nlm:aff></affiliation></author><author><name sortKey="Williams, Shanita D" sort="Williams, Shanita D" uniqKey="Williams S" first="Shanita D." last="Williams">Shanita D. Williams</name><affiliation><nlm:aff id="aff3">US Department of Health and Human Services, Rockville, Maryland 20857, USA</nlm:aff></affiliation></author></analytic><series><title level="j">International journal of MCH and AIDS</title><idno type="ISSN">2161-8674</idno><idno type="eISSN">2161-864X</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Objectives:</title><p>We examined the extent to which area- and individual-level socioeconomic inequalities in cardiovascular-disease (CVD), heart disease, and stroke mortality among United States men and women aged 25-64 years changed between 1969 and 2011.</p></sec><sec id="st2"><title>Methods:</title><p>National vital statistics data and the National Longitudinal Mortality Study were used to estimate area- and individual-level socioeconomic gradients in mortality over time. Rate ratios and log-linear and Cox regression were used to model mortality trends and differentials.</p></sec><sec id="st3"><title>Results:</title><p>Area socioeconomic gradients in mortality from CVD, heart disease, and stroke increased substantially during the study period. Compared to those in the most affluent group, individuals in the most deprived area group had, respectively 35%, 29%, and 73% higher CVD, heart disease, and stroke mortality in 1969, but 120-121% higher mortality in 2007-2011. Gradients were steeper for women than for men. Education, income, and occupation were inversely associated with CVD, heart disease, and stroke mortality, with individual-level socioeconomic gradients being steeper during 1990-2002 than in 1979-1989. Individuals with low education and incomes had 2.7 to 3.7 times higher CVD, heart disease, and stroke mortality risks than their counterparts with high education and income levels.</p></sec><sec id="st4"><title>Conclusions and Global Health Implications:</title><p>Although mortality declined for all US groups during 1969-2011, socioeconomic disparities in mortality from CVD, heart disease and stroke remained marked and increased over time because of faster declines in mortality among higher socioeconomic groups. Widening disparities in mortality may reflect increasing temporal areal inequalities in living conditions, behavioral risk factors such as smoking, obesity and physical inactivity, and access to and use of health services. With social inequalities and prevalence of smoking, obesity, and physical inactivity on the rise, most segments of the working-age population in low- and middle-income countries will likely experience increased cardiovascular-disease burden in terms of higher morbidity and mortality rates.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Hoyert, Dl" uniqKey="Hoyert D">DL Hoyert</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xu, J" uniqKey="Xu J">J Xu</name></author><author><name sortKey="Kochanek, Kd" uniqKey="Kochanek K">KD Kochanek</name></author><author><name sortKey="Murphy, Sl" uniqKey="Murphy S">SL Murphy</name></author><author><name sortKey="Arias, E" uniqKey="Arias E">E Arias</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kitagawa, Em" uniqKey="Kitagawa E">EM 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J MCH AIDS</journal-id><journal-id journal-id-type="iso-abbrev">Int J MCH AIDS</journal-id><journal-title-group><journal-title>International journal of MCH and AIDS</journal-title></journal-title-group><issn pub-type="ppub">2161-8674</issn><issn pub-type="epub">2161-864X</issn><publisher><publisher-name>Global Health and Education Projects, Inc</publisher-name><publisher-loc>USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27621992</article-id><article-id pub-id-type="pmc">5005987</article-id><article-id pub-id-type="publisher-id">IJMA-3-119</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Increasing Area Deprivation and Socioeconomic Inequalities in Heart Disease, Stroke, and Cardiovascular Disease Mortality Among Working Age Populations, United States, 1969-2011</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Singh</surname><given-names>Gopal K.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="corresp" rid="cor1">*</xref></contrib><contrib contrib-type="author"><name><surname>Siahpush</surname><given-names>Mohammad</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Azuine</surname><given-names>Romuladus E.</given-names></name><degrees>DrPH, RN</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Williams</surname><given-names>Shanita D.</given-names></name><degrees>PhD, RN, MPH</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib></contrib-group><aff id="aff1"><label>1</label>The Center for Global Health and Health Policy, Global Health and Education Projects, Riverdale, Maryland 20738, USA</aff><aff id="aff2"><label>2</label>University of Nebraska Medical Center, Department of Health Promotion, Social and Behavioral Health, Omaha, NE 68198-4365, USA</aff><aff id="aff3"><label>3</label>US Department of Health and Human Services, Rockville, Maryland 20857, USA</aff><author-notes><corresp id="cor1"><label>*</label>Corresponding author email: <email xlink:href="gsingh@mchandaids.org">gsingh@mchandaids.org</email></corresp></author-notes><pub-date pub-type="ppub"><year>2015</year></pub-date><volume>3</volume><issue>2</issue><fpage>119</fpage><lpage>133</lpage><permissions><copyright-statement>Copyright: © 2015 Singh et al.</copyright-statement><copyright-year>2015</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/3.0"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec id="st1"><title>Objectives:</title><p>We examined the extent to which area- and individual-level socioeconomic inequalities in cardiovascular-disease (CVD), heart disease, and stroke mortality among United States men and women aged 25-64 years changed between 1969 and 2011.</p></sec><sec id="st2"><title>Methods:</title><p>National vital statistics data and the National Longitudinal Mortality Study were used to estimate area- and individual-level socioeconomic gradients in mortality over time. Rate ratios and log-linear and Cox regression were used to model mortality trends and differentials.</p></sec><sec id="st3"><title>Results:</title><p>Area socioeconomic gradients in mortality from CVD, heart disease, and stroke increased substantially during the study period. Compared to those in the most affluent group, individuals in the most deprived area group had, respectively 35%, 29%, and 73% higher CVD, heart disease, and stroke mortality in 1969, but 120-121% higher mortality in 2007-2011. Gradients were steeper for women than for men. Education, income, and occupation were inversely associated with CVD, heart disease, and stroke mortality, with individual-level socioeconomic gradients being steeper during 1990-2002 than in 1979-1989. Individuals with low education and incomes had 2.7 to 3.7 times higher CVD, heart disease, and stroke mortality risks than their counterparts with high education and income levels.</p></sec><sec id="st4"><title>Conclusions and Global Health Implications:</title><p>Although mortality declined for all US groups during 1969-2011, socioeconomic disparities in mortality from CVD, heart disease and stroke remained marked and increased over time because of faster declines in mortality among higher socioeconomic groups. Widening disparities in mortality may reflect increasing temporal areal inequalities in living conditions, behavioral risk factors such as smoking, obesity and physical inactivity, and access to and use of health services. With social inequalities and prevalence of smoking, obesity, and physical inactivity on the rise, most segments of the working-age population in low- and middle-income countries will likely experience increased cardiovascular-disease burden in terms of higher morbidity and mortality rates.</p></sec></abstract><kwd-group><kwd>CVD mortality</kwd><kwd>Heart Disease</kwd><kwd>Stroke</kwd><kwd>Deprivation</kwd><kwd>SES</kwd><kwd>Work force</kwd></kwd-group></article-meta></front><body><sec sec-type="intro" id="sec1-1"><title>Introduction</title><p>Cardiovascular diseases (CVD), including heart disease and stroke, have been the leading cause of death in the United States for the past eight decades.[<xref rid="ref1" ref-type="bibr">1</xref>] They currently account for almost a quarter of all deaths among working-age Americans, exceeded only by cancer.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>] Declines in the prevalence of key risk factors such as smoking have led to a 70% drop in CVD mortality among those aged 25-64.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>] Yet, substantial social inequalities in CVD mortality remain, with black Americans and those in lower socioeconomic groups continuing to experience higher CVD morbidity and mortality risks.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>]</p><p>Monitoring health inequalities and their social determinants is an essential step toward development and implementation of public policies to meet national health goals, such as achieving health equity.[<xref rid="ref4" ref-type="bibr">4</xref>,<xref rid="ref5" ref-type="bibr">5</xref>] Although time trends in age, sex, and racial/ethnic disparities in health outcomes are widely analyzed, monitoring health inequalities, particularly those in mortality, by socioeconomic status (SES), is relatively uncommon in the US.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref6" ref-type="bibr">6</xref>-<xref rid="ref8" ref-type="bibr">8</xref>] This is primarily because the national mortality database contains limited and unreliable socioeconomic data for the decedents, which makes it difficult to compute mortality rates by socioeconomic characteristics.[<xref rid="ref2" ref-type="bibr">2</xref>,<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] However, linkages of national mortality data with census data at an area level, such as at the county level, have allowed several US studies to examine differentials in CVD mortality according to area-based socioeconomic deprivation level.[<xref rid="ref6" ref-type="bibr">6</xref>-<xref rid="ref10" ref-type="bibr">10</xref>] Moreover, prospective linkages of census and current population survey records with national death records have permitted estimation of mortality differentials by individual-level SES characteristics such as education, income, and occupation.[<xref rid="ref11" ref-type="bibr">11</xref>-<xref rid="ref14" ref-type="bibr">14</xref>]</p><p>Health inequalities in the working-age population are generally greater than those in the general population.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref14" ref-type="bibr">14</xref>,<xref rid="ref15" ref-type="bibr">15</xref>] Compared to the general population, those in the prime working ages between 25 and 64 years are much more vulnerable to adverse social conditions such as unemployment, marital disruption, lack of labor market opportunities, economic recession, inadequate housing, unfavorable work environment, lack of autonomy and control in the workplace, low job satisfaction, high job stress, and low social support.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref16" ref-type="bibr">16</xref>] These adverse social conditions are associated with increased risks of adult premature mortality, particularly due to cardiovascular conditions.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref16" ref-type="bibr">16</xref>] Few studies have explored temporal socioeconomic disparities in all-cause and cause-specific mortality among working-age populations in the US.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] A previous analysis showed marked and increasing inequalities in CVD mortality by deprivation levels among Americans aged 25-64 between 1969 and 1998.[<xref rid="ref8" ref-type="bibr">8</xref>] The present study extends and updates that analysis by examining area socioeconomic disparities in CVD mortality from 1969 through 2011. Unlike the previous analysis, we also analyze temporal socioeconomic patterns in mortality from two main component causes, heart disease and stroke. Additionally, we estimate changes in individual-level socioeconomic inequalities in CVD, heart disease, and stroke mortality among working-age Americans between 1979 and 2002 using national longitudinal data. Temporal analysis allows us to track progress toward reducing health inequalities among those at higher risks of morbidity and mortality. It also provides important insights into the role of health-policy and medical interventions and behavioral risk factors such as such as smoking, obesity, physical inactivity, and unhealthy diet.[<xref rid="ref5" ref-type="bibr">5</xref>,<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>]</p></sec><sec sec-type="methods" id="sec1-2"><title>Methods</title><sec id="sec2-1"><title>Use of National Vital Statistics and Census Databases to Compute Mortality Rates by Deprivation Level</title><p>To analyze temporal inequalities in CVD mortality, we used the national vital statistics mortality database.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref17" ref-type="bibr">17</xref>] Since the vital-statistics-based national mortality database lacks reliable SES data, socioeconomic patterns in CVD mortality were derived by linking the 1990 and 2000 census-based county-level deprivation indices to the age-sex-race-county-specific mortality statistics from 1969 through 2011.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref15" ref-type="bibr">15</xref>,<xref rid="ref18" ref-type="bibr">18</xref>]</p></sec><sec id="sec2-2"><title>Area Deprivation Indices for the United States</title><p>We used previously published factor-based deprivation indices from the 1990 and 2000 decennial US censuses.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref18" ref-type="bibr">18</xref>] The 1990 deprivation index consisted of 17 census-based socioeconomic indicators, which may be viewed as broadly representing educational opportunities, labor force skills, economic, and housing conditions in a given county.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] Selected indicators of education, occupation, wealth, income distribution, unemployment rate, poverty rate, and housing quality were used to construct the 1990 index.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] The factor loadings (correlations of indicators with the index) for the 1990 index ranged from 0.92 for 150% of the poverty rate to 0.45 for household plumbing.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] The 2000 deprivation index consisted of 22 socioeconomic indicators, including five additional measures of income distribution, wealth, and housing quality.[<xref rid="ref18" ref-type="bibr">18</xref>] The factor loadings for the 2000 index varied from 0.92 for 150% of the poverty rate to 0.39 for household plumbing.[<xref rid="ref18" ref-type="bibr">18</xref>] The common indicators in the 1990 and 2000 deprivation indices generally had similar factor loadings or relative weights.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref18" ref-type="bibr">18</xref>] The correlation between the 1990 and 2000 deprivation indices was 0.97, indicating a fairly stable geographical distribution of deprivation in the US over time. Substantive and methodological details of the US deprivation indices are provided elsewhere.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref18" ref-type="bibr">18</xref>]</p><p>In order to compute mortality rates by deprivation level, we used the weighted population quintile distribution of the deprivation index that classified all 3,141 US counties into 5 groups of approximately equal population size.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref18" ref-type="bibr">18</xref>] The groups thus created ranged from being the most-deprived (first quintile) to the least-disadvantaged (fifth quintile) population groups.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref18" ref-type="bibr">18</xref>] Each of the 3,141 counties in the mortality database was assigned one of the 5 deprivation quintiles. The 1990 index was used to compute deprivation-specific mortality rates from 1969 to 1998, whereas the 2000 index was used to compute mortality rates by deprivation level from 1999 to 2011.</p><p>Cause-specific mortality rates according to county deprivation levels were computed annually between 1969 and 1998 and for the following time periods: 1999-2001, 2002-2006, and 2007-2011. Our trend analysis included 7,374,628 CVD deaths, 6,084,622, heart disease deaths, and 960,673 stroke deaths that occurred among those aged 25-64 between 1969 and 2011.</p><p>Mortality rates for each area- and individual-level socioeconomic group were age-adjusted by the direct method using the age-composition of the 2000 US population as the standard.[<xref rid="ref1" ref-type="bibr">1</xref>-<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref19" ref-type="bibr">19</xref>,<xref rid="ref20" ref-type="bibr">20</xref>] Log-linear regression models were used to estimate annual rates of decrease in cause-specific mortality for race, sex, and deprivation groups.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref15" ref-type="bibr">15</xref>] Specifically, the logarithm of mortality rates were modeled as a linear function of time (calendar year), which yielded annual exponential rates of change in mortality rates.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref15" ref-type="bibr">15</xref>] Disparities in mortality by deprivation level were described by rate ratios (relative risks) and rate differences (absolute inequalities), which were tested for statistical significance at the 0.05 level.</p></sec><sec id="sec2-3"><title>National Longitudinal Mortality Study (NLMS)</title><p>To examine variations in CVD, heart disease, and stroke mortality risks according to individual-level socioeconomic characteristics, we used the 1979-2002 NLMS data. The NLMS is a longitudinal dataset for examining socioeconomic, occupational, and demographic factors associated with all-cause and cause-specific mortality in the United States.[<xref rid="ref11" ref-type="bibr">11</xref>-<xref rid="ref14" ref-type="bibr">14</xref>,<xref rid="ref21" ref-type="bibr">21</xref>] The NLMS is conducted by the National Heart, Lung, and Blood Institute (National Institutes of Health [NIH]) in collaboration with the US Census Bureau, the National Cancer Institute (NIH), the National Institute on Aging (NIH), and the National Center for Health Statistics (Centers for Disease Control and Prevention).[<xref rid="ref11" ref-type="bibr">11</xref>-<xref rid="ref14" ref-type="bibr">14</xref>,<xref rid="ref21" ref-type="bibr">21</xref>] The NLMS consists of 30 Current Population Survey (CPS) and census cohorts between 1973 and 2002 whose survival (mortality) experiences were studied between 1979 and 2002.[<xref rid="ref21" ref-type="bibr">21</xref>] The CPS is a sample household and telephone interview survey of the civilian non-institutionalized population in the United States and is conducted by the US Census Bureau to produce monthly national statistics on unemployment and the labor force. Data from death certificates on the fact of death and the cause of death are combined with the socioeconomic and demographic characteristics of the NLMS cohorts by means of the National Death Index.[<xref rid="ref11" ref-type="bibr">11</xref>-<xref rid="ref14" ref-type="bibr">14</xref>,<xref rid="ref21" ref-type="bibr">21</xref>] Detailed descriptions of the NLMS have been provided elsewhere.[<xref rid="ref12" ref-type="bibr">12</xref>,<xref rid="ref13" ref-type="bibr">13</xref>,<xref rid="ref21" ref-type="bibr">21</xref>]</p><p>The full NLMS consists of approximately 3 million individuals drawn from 30 CPS and census cohorts whose mortality experience has been followed from 1979 through 2002, with the total number of deaths during the 23-year follow-up being 341,343.[<xref rid="ref21" ref-type="bibr">21</xref>] For this study, we used the public-use NLMS file to derive cohort-based mortality risks during 1979-1989 and 1990-2002.[<xref rid="ref21" ref-type="bibr">21</xref>] The two sets of CPS cohorts in the 1980s and 1990s were considered for a maximum mortality follow-up of 6 years.[<xref rid="ref21" ref-type="bibr">21</xref>] Education, income/poverty level, and occupational differentials in mortality risks were adjusted by multivariate Cox proportional hazards regression for age and for additional covariates such as sex, race/ethnicity, marital status, and place of residence.[<xref rid="ref11" ref-type="bibr">11</xref>,<xref rid="ref22" ref-type="bibr">22</xref>] The NLMS sample for 1979-1989 included 513,991 individuals at the baseline and 5,668 CVD deaths, 4,792 heart disease deaths, and 646 stroke deaths during the 6-year mortality follow-up. The 1990-2002 sample included 305,794 individuals at the baseline and 2,336 CVD deaths, 1,962 heart disease deaths, and 268 stroke deaths during the 6-year mortality follow-up. In estimating the mortality risk, all those surviving beyond the 6-year follow-up (measured in days) and those dying from causes other than CVD, heart disease, or stroke during the follow-up period were treated as right-censored observations. The Cox models were estimated by the SAS PHREG procedure.[<xref rid="ref22" ref-type="bibr">22</xref>]</p></sec></sec><sec sec-type="results" id="sec1-3"><title>Results</title><sec id="sec2-4"><title>Changes in Leading Causes of Death among Working-Age Americans</title><p>In 1969, cardiovascular diseases were the leading cause of death among both men and women in the US. Due to a considerable decline in CVD mortality and a slower decrease in cancer mortality during 1969-2011, cancer overtook CVD as the leading cause of death among Americans aged 25-64 (<xref ref-type="table" rid="T1">Table 1</xref>). In 2011, the leading causes of death among men aged 25-64 were cardiovascular disease, cancer, unintentional injuries, suicide, and liver cirrhosis. For working-age women, the leading causes of death were cancer, cardiovascular disease, unintentional injuries, COPD, and diabetes. CVD remains the leading cause of death among US blacks aged 25-64 despite the steep decline in mortality over the past 4 decades.</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><p>Number of Deaths and Age-Adjusted Death Rates from Leading Causes of Death Among the Working-Age Population (25-64 years), United States, 1969 and 2011</p></caption><table frame="hsides" rules="groups" width="100%"><thead><tr><th align="left" rowspan="1" colspan="1"></th><th align="center" rowspan="1" colspan="1">Deaths</th><th align="center" rowspan="1" colspan="1">Death rate</th><th align="center" rowspan="1" colspan="1">Deaths</th><th align="center" rowspan="1" colspan="1">Death rate</th><th align="center" rowspan="1" colspan="1">Deaths</th><th align="center" rowspan="1" colspan="1">Death rate</th><th align="center" rowspan="1" colspan="1">Percent</th><th align="center" rowspan="1" colspan="1">Percent</th><th align="center" rowspan="1" colspan="1">Percent</th></tr><tr><th align="center" rowspan="1" colspan="1"></th><th align="center" colspan="9" rowspan="1"><hr></hr></th></tr><tr><th align="center" rowspan="1" colspan="1"></th><th align="left" rowspan="1" colspan="1">Both sexes</th><th align="center" rowspan="1" colspan="1">Both sexes</th><th align="center" rowspan="1" colspan="1">Male</th><th align="center" rowspan="1" colspan="1">Male</th><th align="center" rowspan="1" colspan="1">Female</th><th align="center" rowspan="1" colspan="1">Female</th><th align="center" rowspan="1" colspan="1">Both sexes</th><th align="center" rowspan="1" colspan="1">Male</th><th align="center" rowspan="1" colspan="1">Female</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>1969</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">All causes of death</td><td align="center" rowspan="1" colspan="1">587,562</td><td align="center" rowspan="1" colspan="1">606.7</td><td align="center" rowspan="1" colspan="1">379,442</td><td align="center" rowspan="1" colspan="1">815.8</td><td align="center" rowspan="1" colspan="1">208,120</td><td align="center" rowspan="1" colspan="1">414.7</td><td align="center" rowspan="1" colspan="1">100.0</td><td align="center" rowspan="1" colspan="1">100.0</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">All cancers combined</td><td align="center" rowspan="1" colspan="1">135,752</td><td align="center" rowspan="1" colspan="1">138.6</td><td align="center" rowspan="1" colspan="1">71,665</td><td align="center" rowspan="1" colspan="1">150.9</td><td align="center" rowspan="1" colspan="1">64,087</td><td align="center" rowspan="1" colspan="1">127.7</td><td align="center" rowspan="1" colspan="1">23.1</td><td align="center" rowspan="1" colspan="1">18.9</td><td align="center" rowspan="1" colspan="1">30.8</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">HIV/AIDS</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1">0.0</td><td align="center" rowspan="1" colspan="1">0.0</td><td align="center" rowspan="1" colspan="1">0.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Diabetes mellitus</td><td align="center" rowspan="1" colspan="1">11,655</td><td align="center" rowspan="1" colspan="1">11.8</td><td align="center" rowspan="1" colspan="1">5,561</td><td align="center" rowspan="1" colspan="1">12.0</td><td align="center" rowspan="1" colspan="1">6,094</td><td align="center" rowspan="1" colspan="1">11.7</td><td align="center" rowspan="1" colspan="1">2.0</td><td align="center" rowspan="1" colspan="1">1.5</td><td align="center" rowspan="1" colspan="1">2.9</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Major cardiovascular diseases (CVD)</td><td align="center" rowspan="1" colspan="1">242,667</td><td align="center" rowspan="1" colspan="1">243.7</td><td align="center" rowspan="1" colspan="1">170,563</td><td align="center" rowspan="1" colspan="1">359.3</td><td align="center" rowspan="1" colspan="1">72,104</td><td align="center" rowspan="1" colspan="1">138.1</td><td align="center" rowspan="1" colspan="1">41.3</td><td align="center" rowspan="1" colspan="1">45.0</td><td align="center" rowspan="1" colspan="1">34.6</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Heart disease</td><td align="center" rowspan="1" colspan="1">196,594</td><td align="center" rowspan="1" colspan="1">197.1</td><td align="center" rowspan="1" colspan="1">144,511</td><td align="center" rowspan="1" colspan="1">304.6</td><td align="center" rowspan="1" colspan="1">52,083</td><td align="center" rowspan="1" colspan="1">98.8</td><td align="center" rowspan="1" colspan="1">33.5</td><td align="center" rowspan="1" colspan="1">38.1</td><td align="center" rowspan="1" colspan="1">25.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Stroke</td><td align="center" rowspan="1" colspan="1">35,835</td><td align="center" rowspan="1" colspan="1">36.3</td><td align="center" rowspan="1" colspan="1">19,393</td><td align="center" rowspan="1" colspan="1">40.8</td><td align="center" rowspan="1" colspan="1">16,442</td><td align="center" rowspan="1" colspan="1">32.2</td><td align="center" rowspan="1" colspan="1">6.1</td><td align="center" rowspan="1" colspan="1">5.1</td><td align="center" rowspan="1" colspan="1">7.9</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Pneumonia and influenza</td><td align="center" rowspan="1" colspan="1">14,412</td><td align="center" rowspan="1" colspan="1">15.0</td><td align="center" rowspan="1" colspan="1">9,064</td><td align="center" rowspan="1" colspan="1">19.6</td><td align="center" rowspan="1" colspan="1">5,348</td><td align="center" rowspan="1" colspan="1">10.8</td><td align="center" rowspan="1" colspan="1">2.5</td><td align="center" rowspan="1" colspan="1">2.4</td><td align="center" rowspan="1" colspan="1">2.6</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">COPD</td><td align="center" rowspan="1" colspan="1">10,921</td><td align="center" rowspan="1" colspan="1">10.7</td><td align="center" rowspan="1" colspan="1">8,179</td><td align="center" rowspan="1" colspan="1">16.7</td><td align="center" rowspan="1" colspan="1">2,742</td><td align="center" rowspan="1" colspan="1">5.4</td><td align="center" rowspan="1" colspan="1">1.9</td><td align="center" rowspan="1" colspan="1">2.2</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Chronic liver disease and cirrhosis</td><td align="center" rowspan="1" colspan="1">22,594</td><td align="center" rowspan="1" colspan="1">24.5</td><td align="center" rowspan="1" colspan="1">14,704</td><td align="center" rowspan="1" colspan="1">32.9</td><td align="center" rowspan="1" colspan="1">7,890</td><td align="center" rowspan="1" colspan="1">16.7</td><td align="center" rowspan="1" colspan="1">3.8</td><td align="center" rowspan="1" colspan="1">3.9</td><td align="center" rowspan="1" colspan="1">3.8</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Nephritis and kidney diseases</td><td align="center" rowspan="1" colspan="1">5,025</td><td align="center" rowspan="1" colspan="1">5.3</td><td align="center" rowspan="1" colspan="1">2,899</td><td align="center" rowspan="1" colspan="1">6.4</td><td align="center" rowspan="1" colspan="1">2,126</td><td align="center" rowspan="1" colspan="1">4.3</td><td align="center" rowspan="1" colspan="1">0.9</td><td align="center" rowspan="1" colspan="1">0.8</td><td align="center" rowspan="1" colspan="1">1.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Accidents and adverse effects</td><td align="center" rowspan="1" colspan="1">48,602</td><td align="center" rowspan="1" colspan="1">53.7</td><td align="center" rowspan="1" colspan="1">36,744</td><td align="center" rowspan="1" colspan="1">84.1</td><td align="center" rowspan="1" colspan="1">11,858</td><td align="center" rowspan="1" colspan="1">25.2</td><td align="center" rowspan="1" colspan="1">8.3</td><td align="center" rowspan="1" colspan="1">9.7</td><td align="center" rowspan="1" colspan="1">5.7</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Suicide and self-inflicted injury</td><td align="center" rowspan="1" colspan="1">15,367</td><td align="center" rowspan="1" colspan="1">17.1</td><td align="center" rowspan="1" colspan="1">10,479</td><td align="center" rowspan="1" colspan="1">24.0</td><td align="center" rowspan="1" colspan="1">4,888</td><td align="center" rowspan="1" colspan="1">10.7</td><td align="center" rowspan="1" colspan="1">2.6</td><td align="center" rowspan="1" colspan="1">2.8</td><td align="center" rowspan="1" colspan="1">2.3</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Homicide and legal intervention</td><td align="center" rowspan="1" colspan="1">10,205</td><td align="center" rowspan="1" colspan="1">11.7</td><td align="center" rowspan="1" colspan="1">8,156</td><td align="center" rowspan="1" colspan="1">19.2</td><td align="center" rowspan="1" colspan="1">2,049</td><td align="center" rowspan="1" colspan="1">4.6</td><td align="center" rowspan="1" colspan="1">1.7</td><td align="center" rowspan="1" colspan="1">2.1</td><td align="center" rowspan="1" colspan="1">1.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>2011</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">All causes of death</td><td align="center" rowspan="1" colspan="1">620,203</td><td align="center" rowspan="1" colspan="1">326.6</td><td align="center" rowspan="1" colspan="1">381,650</td><td align="center" rowspan="1" colspan="1">411.6</td><td align="center" rowspan="1" colspan="1">238,553</td><td align="center" rowspan="1" colspan="1">244.9</td><td align="center" rowspan="1" colspan="1">100.0</td><td align="center" rowspan="1" colspan="1">100.0</td><td align="center" rowspan="1" colspan="1">100.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">All cancers combined</td><td align="center" rowspan="1" colspan="1">176,685</td><td align="center" rowspan="1" colspan="1">87.9</td><td align="center" rowspan="1" colspan="1">93,618</td><td align="center" rowspan="1" colspan="1">94.3</td><td align="center" rowspan="1" colspan="1">83,067</td><td align="center" rowspan="1" colspan="1">82.0</td><td align="center" rowspan="1" colspan="1">28.5</td><td align="center" rowspan="1" colspan="1">24.5</td><td align="center" rowspan="1" colspan="1">34.8</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">HIV/AIDS</td><td align="center" rowspan="1" colspan="1">6,862</td><td align="center" rowspan="1" colspan="1">4.1</td><td align="center" rowspan="1" colspan="1">4,900</td><td align="center" rowspan="1" colspan="1">5.8</td><td align="center" rowspan="1" colspan="1">1,962</td><td align="center" rowspan="1" colspan="1">2.4</td><td align="center" rowspan="1" colspan="1">1.1</td><td align="center" rowspan="1" colspan="1">1.3</td><td align="center" rowspan="1" colspan="1">0.8</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Diabetes mellitus</td><td align="center" rowspan="1" colspan="1">21,228</td><td align="center" rowspan="1" colspan="1">10.8</td><td align="center" rowspan="1" colspan="1">12,875</td><td align="center" rowspan="1" colspan="1">13.4</td><td align="center" rowspan="1" colspan="1">8,353</td><td align="center" rowspan="1" colspan="1">8.3</td><td align="center" rowspan="1" colspan="1">3.4</td><td align="center" rowspan="1" colspan="1">3.4</td><td align="center" rowspan="1" colspan="1">3.5</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Major cardiovascular diseases (CVD)</td><td align="center" rowspan="1" colspan="1">147,751</td><td align="center" rowspan="1" colspan="1">75.5</td><td align="center" rowspan="1" colspan="1">100,251</td><td align="center" rowspan="1" colspan="1">105.0</td><td align="center" rowspan="1" colspan="1">47,500</td><td align="center" rowspan="1" colspan="1">47.3</td><td align="center" rowspan="1" colspan="1">23.8</td><td align="center" rowspan="1" colspan="1">26.3</td><td align="center" rowspan="1" colspan="1">19.9</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Heart disease</td><td align="center" rowspan="1" colspan="1">119,778</td><td align="center" rowspan="1" colspan="1">61.2</td><td align="center" rowspan="1" colspan="1">83,682</td><td align="center" rowspan="1" colspan="1">87.7</td><td align="center" rowspan="1" colspan="1">36,096</td><td align="center" rowspan="1" colspan="1">35.9</td><td align="center" rowspan="1" colspan="1">19.3</td><td align="center" rowspan="1" colspan="1">21.9</td><td align="center" rowspan="1" colspan="1">15.1</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Stroke</td><td align="center" rowspan="1" colspan="1">19,158</td><td align="center" rowspan="1" colspan="1">9.8</td><td align="center" rowspan="1" colspan="1">10,796</td><td align="center" rowspan="1" colspan="1">11.3</td><td align="center" rowspan="1" colspan="1">8,362</td><td align="center" rowspan="1" colspan="1">8.4</td><td align="center" rowspan="1" colspan="1">3.1</td><td align="center" rowspan="1" colspan="1">2.8</td><td align="center" rowspan="1" colspan="1">3.5</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Pneumonia and influenza</td><td align="center" rowspan="1" colspan="1">7,783</td><td align="center" rowspan="1" colspan="1">4.1</td><td align="center" rowspan="1" colspan="1">4,464</td><td align="center" rowspan="1" colspan="1">4.8</td><td align="center" rowspan="1" colspan="1">3,319</td><td align="center" rowspan="1" colspan="1">3.4</td><td align="center" rowspan="1" colspan="1">1.3</td><td align="center" rowspan="1" colspan="1">1.2</td><td align="center" rowspan="1" colspan="1">1.4</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">COPD</td><td align="center" rowspan="1" colspan="1">20,680</td><td align="center" rowspan="1" colspan="1">9.9</td><td align="center" rowspan="1" colspan="1">10,560</td><td align="center" rowspan="1" colspan="1">10.3</td><td align="center" rowspan="1" colspan="1">10,120</td><td align="center" rowspan="1" colspan="1">9.5</td><td align="center" rowspan="1" colspan="1">3.3</td><td align="center" rowspan="1" colspan="1">2.8</td><td align="center" rowspan="1" colspan="1">4.2</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Chronic liver disease and cirrhosis</td><td align="center" rowspan="1" colspan="1">22,567</td><td align="center" rowspan="1" colspan="1">12.0</td><td align="center" rowspan="1" colspan="1">15,335</td><td align="center" rowspan="1" colspan="1">16.5</td><td align="center" rowspan="1" colspan="1">7,232</td><td align="center" rowspan="1" colspan="1">7.7</td><td align="center" rowspan="1" colspan="1">3.6</td><td align="center" rowspan="1" colspan="1">4.0</td><td align="center" rowspan="1" colspan="1">3.0</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Nephritis and kidney diseases</td><td align="center" rowspan="1" colspan="1">7,618</td><td align="center" rowspan="1" colspan="1">3.8</td><td align="center" rowspan="1" colspan="1">4,369</td><td align="center" rowspan="1" colspan="1">4.5</td><td align="center" rowspan="1" colspan="1">3,249</td><td align="center" rowspan="1" colspan="1">3.2</td><td align="center" rowspan="1" colspan="1">1.2</td><td align="center" rowspan="1" colspan="1">1.1</td><td align="center" rowspan="1" colspan="1">1.4</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Accidents and adverse effects</td><td align="center" rowspan="1" colspan="1">66,655</td><td align="center" rowspan="1" colspan="1">40.1</td><td align="center" rowspan="1" colspan="1">46,243</td><td align="center" rowspan="1" colspan="1">56.2</td><td align="center" rowspan="1" colspan="1">20,412</td><td align="center" rowspan="1" colspan="1">24.3</td><td align="center" rowspan="1" colspan="1">10.7</td><td align="center" rowspan="1" colspan="1">12.1</td><td align="center" rowspan="1" colspan="1">8.6</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Suicide and self-inflicted injury</td><td align="center" rowspan="1" colspan="1">28,078</td><td align="center" rowspan="1" colspan="1">16.9</td><td align="center" rowspan="1" colspan="1">21,561</td><td align="center" rowspan="1" colspan="1">26.2</td><td align="center" rowspan="1" colspan="1">6,517</td><td align="center" rowspan="1" colspan="1">7.8</td><td align="center" rowspan="1" colspan="1">4.5</td><td align="center" rowspan="1" colspan="1">5.6</td><td align="center" rowspan="1" colspan="1">2.7</td></tr><tr><td align="center" colspan="10" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Homicide and legal intervention</td><td align="center" rowspan="1" colspan="1">10,214</td><td align="center" rowspan="1" colspan="1">6.5</td><td align="center" rowspan="1" colspan="1">8,091</td><td align="center" rowspan="1" colspan="1">10.3</td><td align="center" rowspan="1" colspan="1">2,123</td><td align="center" rowspan="1" colspan="1">2.7</td><td align="center" rowspan="1" colspan="1">1.6</td><td align="center" rowspan="1" colspan="1">2.1</td><td align="center" rowspan="1" colspan="1">0.9</td></tr></tbody></table><table-wrap-foot><fn><p>Death rates are directly standardized to the 2000 US standard population. COPD=Chronic Obstructive Pulmonary Diseases</p></fn></table-wrap-foot></table-wrap></sec><sec id="sec2-5"><title>Area Socioeconomic Trends in CVD, Heart Disease, and Stroke Mortality</title><p>Area socioeconomic gradients (rate ratios) in CVD, heart disease, and stroke mortality increased substantially during 1969-2011 (<xref ref-type="fig" rid="F1">Figure 1</xref>). Compared to those in the most-affluent group, individuals in the most-deprived area group had, respectively 35%, 29%, and 73% higher CVD, heart disease, and stroke mortality in 1969, but 120-121% higher mortality in 2007-2011 (Figures <xref ref-type="fig" rid="F1">1</xref> and <xref ref-type="fig" rid="F2">2</xref>). Socioeconomic gradients in mortality were steeper for women than for men; in 2007-2011, women had 2.5, 2.6, and 2.2 times higher CVD, heart disease, and stroke mortality, respectively, in the most-deprived group than in the most-affluent group. During 1969-2011, even though CVD mortality rates decreased by at least 59% for all deprivation groups, more deprived groups had higher CVD mortality than less deprived groups in each year/time-period (<xref ref-type="fig" rid="F3">Figure 3</xref>). Cause-specific mortality declined at a much faster pace among individuals in the most affluent group than those in more deprived groups. During 1969-2011, CVD mortality in the five most-to-least deprived groups decreased at average annual rates of 2.25%, 2.71%, 2.79%, 3.10%, and 3.55%, respectively. The corresponding annual rates of decline in heart disease mortality among 5 deprivation groups were: 2.18%, 2.71%, 2.78%, 3.12%, and 3.61% and in stroke mortality: 2.89%, 3.02%, 3.13%, 3.22%, and 3.51%. In the past 4 decades, absolute socioeconomic disparities in CVD and heart disease mortality, as measured by rate differences between the most and least deprived quintiles, have remained stable, while those in stroke mortality have decreased.</p><fig id="F1" position="float"><label>Figure 1</label><caption><p>Cardiovascular Disease (CVD) Mortality Among US Population Aged 25-64 Years by Area Socioeconomic Deprivation Index, 1969-2011</p></caption><graphic xlink:href="IJMA-3-119-g001"></graphic></fig><fig id="F2" position="float"><label>Figure 2</label><caption><p>Heart Disease and Stroke Mortality Among US Population Aged 25-64 Years by Area Socioeconomic Deprivation Index, 1969-2011</p></caption><graphic xlink:href="IJMA-3-119-g002"></graphic></fig><fig id="F3" position="float"><label>Figure 3</label><caption><p>Cardiovascular Disease (CVD), Heart Disease, and Stroke Mortality by Race/Ethnicity and Socioeconomic Deprivation Level, United States, 2007-2011</p></caption><graphic xlink:href="IJMA-3-119-g003"></graphic></fig><p>CVD, heart disease, and stroke mortality rates decreased with decreasing levels of deprivation for both white and black populations aged 25-64, with socioeconomic gradients in CVD and heart disease mortality increasing consistently during 1969-2011 for both racial groups (data not shown for brevity). Ratio of CVD mortality between the most and least deprived quintiles increased from 1.20 in 1969 to 2.07 in 2007-2011 for whites and from 1.31 to 1.77 for blacks during 1969-2011. Similarly, the inequality ratio for stroke mortality during 1969-2011 increased from 1.26 to 2.05 for whites and from 1.55 to 1.82 for blacks. Absolute socioeconomic inequalities in CVD and heart disease mortality also widened over time for whites, but not for blacks.</p><p>Marked socioeconomic gradients in mortality existed not only for white and black Americans but also for the other major racial/ethnic groups: American Indians/Alaska Natives (AIANs), Asians/Pacific Islanders (APIs), and Hispanics (<xref ref-type="fig" rid="F3">Figure 3</xref>). During 2007-2011, heart disease mortality rates varied from a low of 18.58 deaths per 100,000 population for APIs in the least-deprived group to a high of 131.74 for blacks in the most-deprived group. Stroke mortality rates ranged from 4.71 for the most-affluent AIANs to 27.47 for the most-deprived blacks. Whites, blacks, AIANs, APIs, and Hispanics had, respectively, 2.09, 1.75, 2.60, 1.70, and 1.82 times higher heart disease mortality in the most deprived group than in the least-deprived group. Ethnic-specific deprivation gradients were similar in stroke mortality (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p></sec><sec id="sec2-6"><title>Trends in Individual-Level Socioeconomic Disparities in CVD, Heart Disease and Stroke Mortality</title><p><xref ref-type="table" rid="T2">Table 2</xref> shows changes in cause-specific mortality risks according to individual-level baseline socioeconomic characteristics in the NLMS. Education, income, and occupation were inversely associated with mortality among those aged 25-64, with individual-level age-adjusted socioeconomic disparities being more marked during 1990-2002 than during 1979-1989. During 1990-2002, individuals with low education and incomes had 2.7 to 3.7 times higher age-adjusted CVD, heart disease, and stroke mortality risks than their counterparts with high education and income levels. Occupational inequalities were more pronounced for stroke than heart disease and somewhat greater in 1990-2002 than in 1979-1989. In 1990-2002, those in non-professional jobs had 81% higher age-adjusted risk of stroke and 47% higher risk of heart disease than those employed in professional and managerial jobs. Unemployed individuals were about twice as likely to die from heart disease and stroke as their employed counterparts. In covariate-adjusted models, education and income were independently related to CVD, heart disease, and stroke mortality although their effects were somewhat attenuated (<xref ref-type="table" rid="T1">Table 1</xref>). No occupational differentials were found after adjusting for covariates, although unemployed individuals maintained twice the mortality risk of CVD than their employed counterparts.</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><p>Age- and Covariate-Adjusted Relative Risks of Cardiovascular Disease (CVD), Heart Disease, and Stroke Mortality Among US Adults Aged 25-64 Years According to Baseline Socioeeconomic Characteristics: The US National Longitudinal Mortaliy Study, 1979-2002</p></caption><table frame="hsides" rules="groups" width="100%"><thead><tr><th align="left" rowspan="5" valign="top" colspan="1">Baseline socioeconomic characteristics</th><th align="center" colspan="6" rowspan="1">1979-1989 (N=513,991)</th><th align="center" colspan="6" rowspan="1">1990-2002 (N=305,794)</th></tr><tr><th align="center" colspan="6" rowspan="1"><hr></hr></th><th align="center" colspan="6" rowspan="1"><hr></hr></th></tr><tr><th align="center" colspan="3" rowspan="1">Age-adjusted<sup><xref ref-type="fn" rid="t2f1">1</xref></sup></th><th align="center" colspan="3" rowspan="1">Covariate-adjusted<sup><xref ref-type="fn" rid="t2f2">2</xref></sup></th><th align="center" colspan="3" rowspan="1">Age-adjusted<sup><xref ref-type="fn" rid="t2f1">1</xref></sup></th><th align="center" colspan="3" rowspan="1">Covariate-adjusted<sup><xref ref-type="fn" rid="t2f2">2</xref></sup></th></tr><tr><th align="center" colspan="6" rowspan="1"><hr></hr></th><th align="center" colspan="6" rowspan="1"><hr></hr></th></tr><tr><th align="left" rowspan="1" colspan="1">Hazard ratio</th><th align="center" colspan="2" rowspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">Hazard ratio</th><th align="center" colspan="2" rowspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">Hazard ratio</th><th align="center" colspan="2" rowspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">Hazard ratio</th><th align="center" colspan="2" rowspan="1">95% CI</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Cardiovascular diseases</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Education (years)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> <12</td><td align="center" rowspan="1" colspan="1">2.21</td><td align="center" rowspan="1" colspan="1">1.93</td><td align="center" rowspan="1" colspan="1">2.54</td><td align="center" rowspan="1" colspan="1">1.76</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">2.05</td><td align="center" rowspan="1" colspan="1">2.79</td><td align="center" rowspan="1" colspan="1">2.28</td><td align="center" rowspan="1" colspan="1">3.42</td><td align="center" rowspan="1" colspan="1">1.94</td><td align="center" rowspan="1" colspan="1">1.55</td><td align="center" rowspan="1" colspan="1">2.44</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 12</td><td align="center" rowspan="1" colspan="1">1.44</td><td align="center" rowspan="1" colspan="1">1.25</td><td align="center" rowspan="1" colspan="1">1.65</td><td align="center" rowspan="1" colspan="1">1.50</td><td align="center" rowspan="1" colspan="1">1.29</td><td align="center" rowspan="1" colspan="1">1.74</td><td align="center" rowspan="1" colspan="1">1.89</td><td align="center" rowspan="1" colspan="1">1.55</td><td align="center" rowspan="1" colspan="1">2.31</td><td align="center" rowspan="1" colspan="1">1.67</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">2.08</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 13-15</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">1.61</td><td align="center" rowspan="1" colspan="1">1.41</td><td align="center" rowspan="1" colspan="1">1.20</td><td align="center" rowspan="1" colspan="1">1.66</td><td align="center" rowspan="1" colspan="1">1.63</td><td align="center" rowspan="1" colspan="1">1.32</td><td align="center" rowspan="1" colspan="1">2.02</td><td align="center" rowspan="1" colspan="1">1.48</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">1.86</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 16</td><td align="center" rowspan="1" colspan="1">1.06</td><td align="center" rowspan="1" colspan="1">0.89</td><td align="center" rowspan="1" colspan="1">1.26</td><td align="center" rowspan="1" colspan="1">1.09</td><td align="center" rowspan="1" colspan="1">0.91</td><td align="center" rowspan="1" colspan="1">1.30</td><td align="center" rowspan="1" colspan="1">1.07</td><td align="center" rowspan="1" colspan="1">0.84</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.03</td><td align="center" rowspan="1" colspan="1">0.81</td><td align="center" rowspan="1" colspan="1">1.32</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 17+</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Occupation</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Professional/managerial</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Non-professional</td><td align="center" rowspan="1" colspan="1">1.24</td><td align="center" rowspan="1" colspan="1">1.14</td><td align="center" rowspan="1" colspan="1">1.35</td><td align="center" rowspan="1" colspan="1">0.96</td><td align="center" rowspan="1" colspan="1">0.87</td><td align="center" rowspan="1" colspan="1">1.06</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">1.32</td><td align="center" rowspan="1" colspan="1">1.72</td><td align="center" rowspan="1" colspan="1">1.05</td><td align="center" rowspan="1" colspan="1">0.90</td><td align="center" rowspan="1" colspan="1">1.21</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed/outside labor force</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">1.72</td><td align="center" rowspan="1" colspan="1">2.04</td><td align="center" rowspan="1" colspan="1">1.89</td><td align="center" rowspan="1" colspan="1">1.70</td><td align="center" rowspan="1" colspan="1">2.09</td><td align="center" rowspan="1" colspan="1">2.62</td><td align="center" rowspan="1" colspan="1">2.29</td><td align="center" rowspan="1" colspan="1">3.00</td><td align="center" rowspan="1" colspan="1">1.97</td><td align="center" rowspan="1" colspan="1">1.68</td><td align="center" rowspan="1" colspan="1">2.30</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Poverty status (ratio of family income to poverty threshold)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Below 100%</td><td align="center" rowspan="1" colspan="1">2.81</td><td align="center" rowspan="1" colspan="1">2.54</td><td align="center" rowspan="1" colspan="1">3.12</td><td align="center" rowspan="1" colspan="1">1.76</td><td align="center" rowspan="1" colspan="1">1.56</td><td align="center" rowspan="1" colspan="1">1.98</td><td align="center" rowspan="1" colspan="1">2.93</td><td align="center" rowspan="1" colspan="1">2.53</td><td align="center" rowspan="1" colspan="1">3.40</td><td align="center" rowspan="1" colspan="1">1.67</td><td align="center" rowspan="1" colspan="1">1.41</td><td align="center" rowspan="1" colspan="1">1.98</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 100-149%</td><td align="center" rowspan="1" colspan="1">2.14</td><td align="center" rowspan="1" colspan="1">1.90</td><td align="center" rowspan="1" colspan="1">2.40</td><td align="center" rowspan="1" colspan="1">1.52</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">1.72</td><td align="center" rowspan="1" colspan="1">2.59</td><td align="center" rowspan="1" colspan="1">2.19</td><td align="center" rowspan="1" colspan="1">3.05</td><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">1.35</td><td align="center" rowspan="1" colspan="1">1.94</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 150-199%</td><td align="center" rowspan="1" colspan="1">2.02</td><td align="center" rowspan="1" colspan="1">1.81</td><td align="center" rowspan="1" colspan="1">2.27</td><td align="center" rowspan="1" colspan="1">1.54</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.74</td><td align="center" rowspan="1" colspan="1">2.26</td><td align="center" rowspan="1" colspan="1">1.91</td><td align="center" rowspan="1" colspan="1">2.66</td><td align="center" rowspan="1" colspan="1">1.55</td><td align="center" rowspan="1" colspan="1">1.30</td><td align="center" rowspan="1" colspan="1">1.86</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 200-299%</td><td align="center" rowspan="1" colspan="1">1.65</td><td align="center" rowspan="1" colspan="1">1.49</td><td align="center" rowspan="1" colspan="1">1.83</td><td align="center" rowspan="1" colspan="1">1.36</td><td align="center" rowspan="1" colspan="1">1.22</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">1.71</td><td align="center" rowspan="1" colspan="1">1.48</td><td align="center" rowspan="1" colspan="1">1.99</td><td align="center" rowspan="1" colspan="1">1.28</td><td align="center" rowspan="1" colspan="1">1.09</td><td align="center" rowspan="1" colspan="1">1.49</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 300-399%</td><td align="center" rowspan="1" colspan="1">1.52</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.70</td><td align="center" rowspan="1" colspan="1">1.31</td><td align="center" rowspan="1" colspan="1">1.17</td><td align="center" rowspan="1" colspan="1">1.46</td><td align="center" rowspan="1" colspan="1">1.61</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">1.09</td><td align="center" rowspan="1" colspan="1">1.49</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 400-599%</td><td align="center" rowspan="1" colspan="1">1.30</td><td align="center" rowspan="1" colspan="1">1.17</td><td align="center" rowspan="1" colspan="1">1.45</td><td align="center" rowspan="1" colspan="1">1.17</td><td align="center" rowspan="1" colspan="1">1.05</td><td align="center" rowspan="1" colspan="1">1.31</td><td align="center" rowspan="1" colspan="1">1.20</td><td align="center" rowspan="1" colspan="1">1.03</td><td align="center" rowspan="1" colspan="1">1.39</td><td align="center" rowspan="1" colspan="1">1.04</td><td align="center" rowspan="1" colspan="1">0.89</td><td align="center" rowspan="1" colspan="1">1.21</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> At or above 600%</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Heart disease</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Education (years)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> <12</td><td align="center" rowspan="1" colspan="1">2.09</td><td align="center" rowspan="1" colspan="1">1.80</td><td align="center" rowspan="1" colspan="1">2.42</td><td align="center" rowspan="1" colspan="1">1.72</td><td align="center" rowspan="1" colspan="1">1.46</td><td align="center" rowspan="1" colspan="1">2.03</td><td align="center" rowspan="1" colspan="1">2.69</td><td align="center" rowspan="1" colspan="1">2.16</td><td align="center" rowspan="1" colspan="1">3.35</td><td align="center" rowspan="1" colspan="1">1.92</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">2.46</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 12</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">1.19</td><td align="center" rowspan="1" colspan="1">1.60</td><td align="center" rowspan="1" colspan="1">1.47</td><td align="center" rowspan="1" colspan="1">1.25</td><td align="center" rowspan="1" colspan="1">1.73</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">2.32</td><td align="center" rowspan="1" colspan="1">1.70</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">2.15</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 13-15</td><td align="center" rowspan="1" colspan="1">1.30</td><td align="center" rowspan="1" colspan="1">1.11</td><td align="center" rowspan="1" colspan="1">1.54</td><td align="center" rowspan="1" colspan="1">1.36</td><td align="center" rowspan="1" colspan="1">1.14</td><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">1.63</td><td align="center" rowspan="1" colspan="1">1.29</td><td align="center" rowspan="1" colspan="1">2.05</td><td align="center" rowspan="1" colspan="1">1.52</td><td align="center" rowspan="1" colspan="1">1.19</td><td align="center" rowspan="1" colspan="1">1.94</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 16</td><td align="center" rowspan="1" colspan="1">1.01</td><td align="center" rowspan="1" colspan="1">0.84</td><td align="center" rowspan="1" colspan="1">1.22</td><td align="center" rowspan="1" colspan="1">1.05</td><td align="center" rowspan="1" colspan="1">0.87</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">1.04</td><td align="center" rowspan="1" colspan="1">0.79</td><td align="center" rowspan="1" colspan="1">1.35</td><td align="center" rowspan="1" colspan="1">1.01</td><td align="center" rowspan="1" colspan="1">0.77</td><td align="center" rowspan="1" colspan="1">1.32</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 17+</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Occupation</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Professional/managerial</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Non-professional</td><td align="center" rowspan="1" colspan="1">1.21</td><td align="center" rowspan="1" colspan="1">1.11</td><td align="center" rowspan="1" colspan="1">1.33</td><td align="center" rowspan="1" colspan="1">0.95</td><td align="center" rowspan="1" colspan="1">0.86</td><td align="center" rowspan="1" colspan="1">1.06</td><td align="center" rowspan="1" colspan="1">1.47</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">1.70</td><td align="center" rowspan="1" colspan="1">1.02</td><td align="center" rowspan="1" colspan="1">0.87</td><td align="center" rowspan="1" colspan="1">1.20</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed/outside labor force</td><td align="center" rowspan="1" colspan="1">1.77</td><td align="center" rowspan="1" colspan="1">1.61</td><td align="center" rowspan="1" colspan="1">1.95</td><td align="center" rowspan="1" colspan="1">1.84</td><td align="center" rowspan="1" colspan="1">1.65</td><td align="center" rowspan="1" colspan="1">2.06</td><td align="center" rowspan="1" colspan="1">2.61</td><td align="center" rowspan="1" colspan="1">2.25</td><td align="center" rowspan="1" colspan="1">3.02</td><td align="center" rowspan="1" colspan="1">2.02</td><td align="center" rowspan="1" colspan="1">1.71</td><td align="center" rowspan="1" colspan="1">2.40</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Poverty status (ratio of family income to poverty threshold)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Below 100%</td><td align="center" rowspan="1" colspan="1">2.73</td><td align="center" rowspan="1" colspan="1">2.44</td><td align="center" rowspan="1" colspan="1">3.06</td><td align="center" rowspan="1" colspan="1">1.78</td><td align="center" rowspan="1" colspan="1">1.57</td><td align="center" rowspan="1" colspan="1">2.03</td><td align="center" rowspan="1" colspan="1">2.84</td><td align="center" rowspan="1" colspan="1">2.42</td><td align="center" rowspan="1" colspan="1">3.34</td><td align="center" rowspan="1" colspan="1">1.66</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">2.00</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 100-149%</td><td align="center" rowspan="1" colspan="1">2.13</td><td align="center" rowspan="1" colspan="1">1.88</td><td align="center" rowspan="1" colspan="1">2.42</td><td align="center" rowspan="1" colspan="1">1.57</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.79</td><td align="center" rowspan="1" colspan="1">2.67</td><td align="center" rowspan="1" colspan="1">2.23</td><td align="center" rowspan="1" colspan="1">3.19</td><td align="center" rowspan="1" colspan="1">1.68</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">2.05</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 150-199%</td><td align="center" rowspan="1" colspan="1">2.01</td><td align="center" rowspan="1" colspan="1">1.77</td><td align="center" rowspan="1" colspan="1">2.27</td><td align="center" rowspan="1" colspan="1">1.56</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.78</td><td align="center" rowspan="1" colspan="1">2.24</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">2.68</td><td align="center" rowspan="1" colspan="1">1.56</td><td align="center" rowspan="1" colspan="1">1.29</td><td align="center" rowspan="1" colspan="1">1.90</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 200-299%</td><td align="center" rowspan="1" colspan="1">1.63</td><td align="center" rowspan="1" colspan="1">1.45</td><td align="center" rowspan="1" colspan="1">1.82</td><td align="center" rowspan="1" colspan="1">1.36</td><td align="center" rowspan="1" colspan="1">1.21</td><td align="center" rowspan="1" colspan="1">1.53</td><td align="center" rowspan="1" colspan="1">1.70</td><td align="center" rowspan="1" colspan="1">1.45</td><td align="center" rowspan="1" colspan="1">2.00</td><td align="center" rowspan="1" colspan="1">1.28</td><td align="center" rowspan="1" colspan="1">1.08</td><td align="center" rowspan="1" colspan="1">1.52</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 300-399%</td><td align="center" rowspan="1" colspan="1">1.54</td><td align="center" rowspan="1" colspan="1">1.37</td><td align="center" rowspan="1" colspan="1">1.74</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">1.51</td><td align="center" rowspan="1" colspan="1">1.58</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">1.26</td><td align="center" rowspan="1" colspan="1">1.06</td><td align="center" rowspan="1" colspan="1">1.49</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 400-599%</td><td align="center" rowspan="1" colspan="1">1.32</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">1.48</td><td align="center" rowspan="1" colspan="1">1.19</td><td align="center" rowspan="1" colspan="1">1.06</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">1.22</td><td align="center" rowspan="1" colspan="1">1.03</td><td align="center" rowspan="1" colspan="1">1.43</td><td align="center" rowspan="1" colspan="1">1.05</td><td align="center" rowspan="1" colspan="1">0.89</td><td align="center" rowspan="1" colspan="1">1.24</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> At or above 600%</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Stroke</bold></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Education (years)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> <12</td><td align="center" rowspan="1" colspan="1">3.17</td><td align="center" rowspan="1" colspan="1">1.99</td><td align="center" rowspan="1" colspan="1">5.05</td><td align="center" rowspan="1" colspan="1">2.12</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">3.54</td><td align="center" rowspan="1" colspan="1">3.17</td><td align="center" rowspan="1" colspan="1">1.69</td><td align="center" rowspan="1" colspan="1">5.95</td><td align="center" rowspan="1" colspan="1">1.72</td><td align="center" rowspan="1" colspan="1">0.86</td><td align="center" rowspan="1" colspan="1">3.47</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 12</td><td align="center" rowspan="1" colspan="1">1.91</td><td align="center" rowspan="1" colspan="1">1.20</td><td align="center" rowspan="1" colspan="1">3.05</td><td align="center" rowspan="1" colspan="1">1.71</td><td align="center" rowspan="1" colspan="1">1.03</td><td align="center" rowspan="1" colspan="1">2.84</td><td align="center" rowspan="1" colspan="1">2.22</td><td align="center" rowspan="1" colspan="1">1.19</td><td align="center" rowspan="1" colspan="1">4.13</td><td align="center" rowspan="1" colspan="1">1.52</td><td align="center" rowspan="1" colspan="1">0.77</td><td align="center" rowspan="1" colspan="1">2.99</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 13-15</td><td align="center" rowspan="1" colspan="1">1.98</td><td align="center" rowspan="1" colspan="1">1.20</td><td align="center" rowspan="1" colspan="1">3.28</td><td align="center" rowspan="1" colspan="1">1.81</td><td align="center" rowspan="1" colspan="1">1.07</td><td align="center" rowspan="1" colspan="1">3.06</td><td align="center" rowspan="1" colspan="1">1.81</td><td align="center" rowspan="1" colspan="1">0.94</td><td align="center" rowspan="1" colspan="1">3.50</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">0.67</td><td align="center" rowspan="1" colspan="1">2.69</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 16</td><td align="center" rowspan="1" colspan="1">1.13</td><td align="center" rowspan="1" colspan="1">0.63</td><td align="center" rowspan="1" colspan="1">2.03</td><td align="center" rowspan="1" colspan="1">1.10</td><td align="center" rowspan="1" colspan="1">0.61</td><td align="center" rowspan="1" colspan="1">2.00</td><td align="center" rowspan="1" colspan="1">1.44</td><td align="center" rowspan="1" colspan="1">0.70</td><td align="center" rowspan="1" colspan="1">2.98</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">0.61</td><td align="center" rowspan="1" colspan="1">2.65</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 17+</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Occupation</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Professional/managerial</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Non-professional</td><td align="center" rowspan="1" colspan="1">1.47</td><td align="center" rowspan="1" colspan="1">1.11</td><td align="center" rowspan="1" colspan="1">1.94</td><td align="center" rowspan="1" colspan="1">1.03</td><td align="center" rowspan="1" colspan="1">0.75</td><td align="center" rowspan="1" colspan="1">1.40</td><td align="center" rowspan="1" colspan="1">1.81</td><td align="center" rowspan="1" colspan="1">1.21</td><td align="center" rowspan="1" colspan="1">2.71</td><td align="center" rowspan="1" colspan="1">1.28</td><td align="center" rowspan="1" colspan="1">0.82</td><td align="center" rowspan="1" colspan="1">2.02</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Unemployed/outside labor force</td><td align="center" rowspan="1" colspan="1">2.70</td><td align="center" rowspan="1" colspan="1">2.04</td><td align="center" rowspan="1" colspan="1">3.57</td><td align="center" rowspan="1" colspan="1">2.16</td><td align="center" rowspan="1" colspan="1">1.57</td><td align="center" rowspan="1" colspan="1">2.98</td><td align="center" rowspan="1" colspan="1">2.90</td><td align="center" rowspan="1" colspan="1">1.92</td><td align="center" rowspan="1" colspan="1">4.40</td><td align="center" rowspan="1" colspan="1">1.82</td><td align="center" rowspan="1" colspan="1">1.13</td><td align="center" rowspan="1" colspan="1">2.93</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1">Poverty status (ratio of family income to poverty threshold)</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> Below 100%</td><td align="center" rowspan="1" colspan="1">3.27</td><td align="center" rowspan="1" colspan="1">2.42</td><td align="center" rowspan="1" colspan="1">4.42</td><td align="center" rowspan="1" colspan="1">1.53</td><td align="center" rowspan="1" colspan="1">1.08</td><td align="center" rowspan="1" colspan="1">2.16</td><td align="center" rowspan="1" colspan="1">3.74</td><td align="center" rowspan="1" colspan="1">2.44</td><td align="center" rowspan="1" colspan="1">5.74</td><td align="center" rowspan="1" colspan="1">2.10</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">3.47</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 100-149%</td><td align="center" rowspan="1" colspan="1">1.96</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">2.80</td><td align="center" rowspan="1" colspan="1">1.12</td><td align="center" rowspan="1" colspan="1">0.77</td><td align="center" rowspan="1" colspan="1">1.64</td><td align="center" rowspan="1" colspan="1">2.06</td><td align="center" rowspan="1" colspan="1">1.20</td><td align="center" rowspan="1" colspan="1">3.55</td><td align="center" rowspan="1" colspan="1">1.34</td><td align="center" rowspan="1" colspan="1">0.75</td><td align="center" rowspan="1" colspan="1">2.41</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 150-199%</td><td align="center" rowspan="1" colspan="1">1.75</td><td align="center" rowspan="1" colspan="1">1.24</td><td align="center" rowspan="1" colspan="1">2.48</td><td align="center" rowspan="1" colspan="1">1.13</td><td align="center" rowspan="1" colspan="1">0.78</td><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">2.82</td><td align="center" rowspan="1" colspan="1">1.75</td><td align="center" rowspan="1" colspan="1">4.56</td><td align="center" rowspan="1" colspan="1">1.97</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">3.29</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 200-299%</td><td align="center" rowspan="1" colspan="1">1.76</td><td align="center" rowspan="1" colspan="1">1.30</td><td align="center" rowspan="1" colspan="1">2.38</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">0.92</td><td align="center" rowspan="1" colspan="1">1.74</td><td align="center" rowspan="1" colspan="1">1.95</td><td align="center" rowspan="1" colspan="1">1.26</td><td align="center" rowspan="1" colspan="1">3.02</td><td align="center" rowspan="1" colspan="1">1.47</td><td align="center" rowspan="1" colspan="1">0.93</td><td align="center" rowspan="1" colspan="1">2.35</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 300-399%</td><td align="center" rowspan="1" colspan="1">1.45</td><td align="center" rowspan="1" colspan="1">1.04</td><td align="center" rowspan="1" colspan="1">2.01</td><td align="center" rowspan="1" colspan="1">1.13</td><td align="center" rowspan="1" colspan="1">0.81</td><td align="center" rowspan="1" colspan="1">1.59</td><td align="center" rowspan="1" colspan="1">1.53</td><td align="center" rowspan="1" colspan="1">0.96</td><td align="center" rowspan="1" colspan="1">2.44</td><td align="center" rowspan="1" colspan="1">1.23</td><td align="center" rowspan="1" colspan="1">0.76</td><td align="center" rowspan="1" colspan="1">2.00</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> 400-599%</td><td align="center" rowspan="1" colspan="1">1.18</td><td align="center" rowspan="1" colspan="1">0.86</td><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">1.01</td><td align="center" rowspan="1" colspan="1">0.73</td><td align="center" rowspan="1" colspan="1">1.39</td><td align="center" rowspan="1" colspan="1">1.24</td><td align="center" rowspan="1" colspan="1">0.78</td><td align="center" rowspan="1" colspan="1">1.95</td><td align="center" rowspan="1" colspan="1">1.08</td><td align="center" rowspan="1" colspan="1">0.68</td><td align="center" rowspan="1" colspan="1">1.72</td></tr><tr><td align="center" colspan="13" rowspan="1"><hr></hr></td></tr><tr><td align="left" rowspan="1" colspan="1"> At or above 600%</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td><td align="center" rowspan="1" colspan="1">1.00</td><td align="center" colspan="2" rowspan="1">Reference</td></tr></tbody></table><table-wrap-foot><fn><p>Notes: Relative risks (hazard ratios) were derived from multivariate Cox proportional hazards regression models.</p></fn><fn id="t2f1"><label>1</label><p>Adjusted for age only.</p></fn><fn id="t2f2"><label>2</label><p>Adjusted for age, sex, race/ethnicity, marital status, metropolitan/non-metropolitan residence educational attainment, occupation, and income/poverty level</p></fn></table-wrap-foot></table-wrap></sec></sec><sec sec-type="discussion" id="sec1-4"><title>Discussion</title><p>Cardiovascular disease, heart disease, and stroke mortality rates have decreased substantially for all socioeconomic groups in the US. Against this backdrop of impressive declines in overall mortality rates, our study shows substantial and increasing socioeconomic disparities in CVD, heart disease, and stroke mortality over time, as relative inequalities in mortality among those aged 25-64 widened consistently between 1969 and 2011. Between 1969 and 2011, those in more affluent groups experienced faster declines in mortality than those in more deprived groups, which contributed to the widening socioeconomic gap in CVD, heart disease, and stroke mortality. Absolute inequalities in CVD and heart disease mortality, however, remained stable in the past 4 decades.</p><p>Socioeconomic inequalities in CVD, heart disease, and stroke mortality among the working-age population shown here are substantially greater than those for the overall US population as reported in the companion paper.<xref rid="ref23" ref-type="bibr">23</xref> Such age-related patterns in socioeconomic inequalities in health and mortality have also been noted for other industrialized countries.[<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref24" ref-type="bibr">24</xref>] Several hypotheses have been proposed for these patterns. First, disparities in social conditions such as education, income, wealth, unemployment, and housing and in risk factors such as smoking, physical inactivity, obesity, unhealthy diet, alcohol consumption, and hypertension tend to be more pronounced among those aged 25-64 than in the general population or among the elderly.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref24" ref-type="bibr">24</xref>] Secondly, according to the differential selection hypothesis, individuals from the most deprived groups who survive into older ages (i.e., beyond age 65) represent an elite group who tend be healthier than their disadvantaged counterparts who perish earlier in life.[<xref rid="ref24" ref-type="bibr">24</xref>] As a consequence, this tends to have a narrowing effect on social inequalities in mortality at older ages, all else being equal. The third hypothesis is that, the existence of social insurance programs in the industrialized world such as Medicare and Social Security programs for elderly and retired individuals reduces social inequalities in living conditions, material wealth, and access to high-quality medical care, leading to narrower health inequalities in older ages.[<xref rid="ref24" ref-type="bibr">24</xref>] Whether a similar social patterning in cardiovascular-disease mortality among working-age adults and elderly exists in developing countries needs to be investigated. Individuals, especially those of retirement ages, in most low- and middle-income countries do not have access to universal health insurance or social security programs, but they might enjoy greater levels of social support and integration (a major positive determinant of health) than their counterparts in the industrialized world.</p><p>Increasing socioeconomic disparities in CVD mortality shown here are consistent with those observed previously for the United States and Europe.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref11" ref-type="bibr">11</xref>,<xref rid="ref25" ref-type="bibr">25</xref>-<xref rid="ref29" ref-type="bibr">29</xref>] In Britain, the gap in coronary heart disease mortality among those under age 65 between the most and least deprived deciles widened between 1981 and 1995.[<xref rid="ref27" ref-type="bibr">27</xref>] Another study showed increasing social class inequalities in CVD mortality among men aged 15-64 in England and Wales and in Scotland during 1951-1981.[<xref rid="ref28" ref-type="bibr">28</xref>] A recent UK government study showed a widening of the social-class gradient in stroke mortality among English men aged 35-64, with the ratio between the lowest and highest social classes increasing from 1.34 in 1986-1992 to 2.67 in 1997-1999 to 2.90 in 2001-2003.[<xref rid="ref29" ref-type="bibr">29</xref>] Similarly, the relative inequality in ischemic heart disease mortality between the lowest and highest social classes for English men in working ages increased from 1.69 in 1986-1992 to 2.90 in 2001-2003.[<xref rid="ref29" ref-type="bibr">29</xref>] Like the United States, the relative gap in heart disease and stroke mortality in England widened as mortality rates fell more rapidly in higher social classes.[<xref rid="ref29" ref-type="bibr">29</xref>] However, for Canada, although mortality rates were higher in poorer neighborhoods, both absolute and relative socioeconomic inequalities in ischemic heart disease mortality diminished between 1971 and 1996, particularly among males.[<xref rid="ref30" ref-type="bibr">30</xref>]</p><p>Socioeconomic disparities in CVD mortality may reflect differences in smoking prevalence, unhealthy diet, obesity, physical inactivity, and healthcare factors.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref7" ref-type="bibr">7</xref>-<xref rid="ref10" ref-type="bibr">10</xref>,<xref rid="ref31" ref-type="bibr">31</xref>] Higher smoking rates are more prevalent among US men and women in lower socioeconomic groups and in more deprived areas.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref7" ref-type="bibr">7</xref>,<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref32" ref-type="bibr">32</xref>] Smoking rates have fallen more rapidly for those in higher socioeconomic groups in the US, which largely explains temporal socioeconomic trends in CVD mortality rates.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref8" ref-type="bibr">8</xref>] Obesity prevalence is higher in lower socioeconomic groups, and social-class gradients in US obesity rates have persisted for the past 4 decades.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref33" ref-type="bibr">33</xref>] Higher consumption of lower-quality diets and energy-dense foods and lower intakes of fruits and vegetables have been reported among lower socioeconomic groups in the US.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref33" ref-type="bibr">33</xref>] Socioeconomic differences in these dietary factors have persisted or narrowed over time.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref33" ref-type="bibr">33</xref>]</p><p>Marked socioeconomic disparities in CVD mortality reported here are consistent with those reported in prevalence of heart disease, stroke, and hypertension in the US.[<xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref32" ref-type="bibr">32</xref>] In 2012, those with less than a high school education had 88%, 150%, and 47% higher risk of coronary heart disease, stroke, and hypertension respectively than those with a college degree.[<xref rid="ref32" ref-type="bibr">32</xref>] Similarly, substantially higher prevalence of heart disease, stroke, and hypertension is reported among unemployed and low-income Americans.[<xref rid="ref32" ref-type="bibr">32</xref>]</p></sec><sec id="sec1-5"><title>Conclusions and Global Health Implications</title><p>With social inequalities and prevalence of smoking, obesity, physical inactivity, and westernization of diet on the rise, most segments of the working-age population in low- and middle-income countries will likely experience increased cardiovascular-disease burden in terms of higher morbidity and mortality rates. [<xref rid="ref31" ref-type="bibr">31</xref>,<xref rid="ref34" ref-type="bibr">34</xref>] Cardiovascular disease is the leading cause of death not only in the industrialized world, but also in low- and middle-income countries.[<xref rid="ref31" ref-type="bibr">31</xref>,<xref rid="ref35" ref-type="bibr">35</xref>,<xref rid="ref36" ref-type="bibr">36</xref>] Over 14 million premature deaths from CVD and other non-communicable diseases (NCDs) such as cancer and diabetes occur globally between the ages of 30 and 70, of which 85% are in developing countries.[<xref rid="ref37" ref-type="bibr">37</xref>] Most of these deaths are preventable through policy measures that are aimed at reducing behavioral risk factors such as smoking, physical inactivity, unhealthy diet, and heavy drinking that account for about 80% of cardiovascular diseases globally.[<xref rid="ref31" ref-type="bibr">31</xref>]</p><p>Cardiovascular disease is projected to be an even bigger health concern in the developing world.[<xref rid="ref35" ref-type="bibr">35</xref>] Cardiovascular-disease burden varies greatly across the world regions, with the largest number of deaths occurring in India and China, which together account for >30% of all CVD deaths in the world. The following countries have the highest disease burden (in terms of number of heart disease deaths): US and Germany among high-income countries; China and Indonesia in the East Asia and Pacific region; Russia and Ukraine in Europe and Central Asia; Brazil and Mexico in Latin America and the Caribbean; India and Pakistan in South Asia; and Nigeria and Ethiopia in Sub-Saharan Africa.[<xref rid="ref36" ref-type="bibr">36</xref>] Economic and workforce implications of rising CVD morbidity and mortality risks in developing countries are profound. Many of the CVD deaths among people in low- and middle-income countries occur at younger ages, often in their most productive years in the labor force; the macro-economic effect of NCDs including CVD is a reduction of 6.8% in these countries’ GDPs.[<xref rid="ref31" ref-type="bibr">31</xref>] Additionally, because of macro-societal forces, such as globalization and urbanization, people in developing countries are increasingly being exposed to such CVD risk factors as smoking, drinking, physical inactivity, and unhealthy diet. At the same time, they do not have similar access to public health education and prevention programs and access to primary care as their counterparts in the industrialized world.[<xref rid="ref31" ref-type="bibr">31</xref>] In the absence of universal healthcare coverage, poorer people with CVDs in developing countries are disproportionately burdened with high out-of-pocket expenditure, which contributes to even greater economic hardship among them.[<xref rid="ref31" ref-type="bibr">31</xref>]</p><p>In conclusion, we must state that much progress has been made to reduce CVD, heart disease, and stroke mortality among all socioeconomic groups in the US workforce. However, the growing socioeconomic disparities in CVD, heart disease, and stroke mortality must be seen as a major public health concern; these disparities in mortality may partly indicate that the benefits of CVD prevention and control have not reached all groups equally.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref31" ref-type="bibr">31</xref>] Heart disease and stroke continue to disproportionately affect those who are unemployed and socioeconomically disadvantaged in the US workforce. The underlying social determinants of these health inequalities must be addressed.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref16" ref-type="bibr">16</xref>,<xref rid="ref29" ref-type="bibr">29</xref>,<xref rid="ref31" ref-type="bibr">31</xref>] Tackling poverty, improving education, employment and labor market opportunities, reducing smoking prevalence and harmful use of alcohol, promoting and increasing opportunities for physical activity and access to a healthy diet, and improving access to and use of health services among those in lower socioeconomic groups and in poorer communities can reduce the risk of cardiovascular disease.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref29" ref-type="bibr">29</xref>,<xref rid="ref31" ref-type="bibr">31</xref>] Social policies with greater welfare support, better work environment, and social protection for the disadvantaged can also help reduce behavioral and psychosocial risks, leading to reduced social inequalities in CVD mortality among working-age Americans.[<xref rid="ref8" ref-type="bibr">8</xref>,<xref rid="ref16" ref-type="bibr">16</xref>,<xref rid="ref29" ref-type="bibr">29</xref>,<xref rid="ref31" ref-type="bibr">31</xref>]</p><boxed-text position="float"><caption><title>Key Messages</title></caption><p><list list-type="bullet"><list-item><p>Cardiovascular diseases, including heart disease and stroke, disproportionately affect those who live in poorer communities and who are unemployed and socioeconomically disadvantaged in the US workforce.</p></list-item><list-item><p>Socioeconomic disparities in cardiovascular disease, heart disease, and stroke mortality among working-age Americans rose markedly between 1969 and 2011.</p></list-item><list-item><p>Inequalities in cardiovascular disease, heart disease, and stroke mortality by area deprivation widened because higher socioeconomic groups experienced faster mortality declines during 1969-2011.</p></list-item><list-item><p>Increasing social inequalities in cardiovascular disease, heart disease, and stroke mortality among working-age Americans may be related to increasing temporal inequalities in living conditions and smoking, obesity, physical inactivity, and unhealthy diet.</p></list-item><list-item><p>With inequalities in living conditions and prevalence of smoking, obesity, physical inactivity, and westernization of diet on the rise, cardiovascular-disease burden among working-age populations in low- and middle-income countries will likely increase.</p></list-item></list></p></boxed-text></sec></body><back><ack><title>Acknowledgments</title><p><italic>The views expressed are the authors’ and not necessarily those of their institutions</italic>.</p></ack><fn-group><fn fn-type="other"><p><bold>Human Subjects Review:</bold><italic>No IRB approval was required for this study, which is based on the secondary analysis of public-use databases</italic>.</p></fn><fn fn-type="financial-disclosure"><p><bold>Financial Disclosure:</bold><italic>None</italic>.</p></fn><fn fn-type="supported-by"><p><bold>Funding/Support:</bold><italic>None</italic>.</p></fn><fn fn-type="COI-statement"><p><bold>Conflicts of Interest</bold>: <italic>None</italic>.</p></fn></fn-group><ref-list><title>References</title><ref id="ref1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hoyert</surname><given-names>DL</given-names></name></person-group><article-title>75 years of mortality in the United States 2010</article-title><source>NCHS Data Brief</source><year>2012</year><volume>88</volume><fpage>1</fpage><lpage>8</lpage><pub-id pub-id-type="pmid">22617094</pub-id></element-citation></ref><ref id="ref2"><label>2</label><element-citation publication-type="journal"><person-group 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