The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study
We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study. The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and col...
Gespeichert in:
| Veröffentlicht in: | BMC public health 2015-12, Vol.15 (10913), p.1312-1312, Article 1312 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1312 |
|---|---|
| container_issue | 10913 |
| container_start_page | 1312 |
| container_title | BMC public health |
| container_volume | 15 |
| creator | Lewis, Marquita W Khodneva, Yulia Redmond, Nicole Durant, Raegan W Judd, Suzanne E Wilkinson, Larrell L Howard, Virginia J Safford, Monika M |
| description | We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study.
The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income |
| doi_str_mv | 10.1186/s12889-015-2630-4 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4696109</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A451670674</galeid><sourcerecordid>A451670674</sourcerecordid><originalsourceid>FETCH-LOGICAL-c424t-23939e4ead08873871ed9cba04f309642eaae21fcff34b610ed243cef6ec0b9e3</originalsourceid><addsrcrecordid>eNptks9u1DAQxiMEoqXwAFyQJS7lkOJ_iZML0qotW6RKSNtythxnvOuS2MFOKvX1-mQ4u9tVi5APdmZ-803G_rLsI8FnhFTl10hoVdU5JkVOS4Zz_io7JlyQnPKiev3sfJS9i_EOYyKqgr7NjmgpSFEwcZw93m4A2X5QekTeoDF9ad831qnRejeHrEsBQMq1CNpJ7-Nui6acbcFpmEHtg3cqPKANqDCi1kZQcWa26BB8HECP9h7QKiW8i8j4gJbg10ENG6u3LVZKW9WhC2sMhFk5zgI3Y_C_AZ2uLpeL1cXNl9Rr41OPOE7tw_vsjVFdhA_7_ST79f3y9vwqv_65_HG-uM41p3zMKatZDRxUi6tKsEoQaGvdKMwNw3XJKSgFlBhtDONNSTC0lDMNpgSNmxrYSfZtpztMTQ-tBjcG1ckh2D5NLb2y8mXG2Y1c-3vJyzrJ1UngdC8Q_J8J4ih7GzV0nXLgpyiJKKhIv8aKhH7-B73zU3BpvESJuih4lV78QK1VB9I641NfPYvKBS9IKXApeKLO_kOl1UJvtXdgbIq_KCC7Ap3eLAYwhxkJlrPx5M54MhlPzsaTc82n55dzqHhyGvsLe8PWKw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1779554826</pqid></control><display><type>article</type><title>The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>SpringerNature Journals</source><source>PubMed Central</source><source>Springer Nature OA/Free Journals</source><creator>Lewis, Marquita W ; Khodneva, Yulia ; Redmond, Nicole ; Durant, Raegan W ; Judd, Suzanne E ; Wilkinson, Larrell L ; Howard, Virginia J ; Safford, Monika M</creator><creatorcontrib>Lewis, Marquita W ; Khodneva, Yulia ; Redmond, Nicole ; Durant, Raegan W ; Judd, Suzanne E ; Wilkinson, Larrell L ; Howard, Virginia J ; Safford, Monika M</creatorcontrib><description>We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study.
The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income <$35,000)/low education (< high school), low income/high education, high income/low education, and high income/high education. Cox models estimated hazard ratios (HR) for incident CHD for each exposure group, examining differences by age group.
At baseline, 24,461 participants free of CHD experienced 809 incident CHD events through December 31, 2011 (median follow-up 6.0 years; interquartile range 4.5-7.3 years). Those with low income/low education had the highest incidence of CHD (10.1 [95% CI 8.4-12.1]/1000 person-years). After full adjustment, those with low income/low education had higher risk of incident CHD (HR 1.42 [95% CI: 1.14-1.76]) than those with high income/high education, but findings varied by age. Among those aged <65 years, compared with those reporting high income/high education, risk of incident CHD was significantly higher for those reporting low income/low education and low income/high education (adjusted HR 2.07 [95% CI 1.42-3.01] and 1.69 [95% CI 1.30-2.20], respectively). Those aged ≥ 65 years, risk of incident CHD was similar across income-education groups after full adjustment.
For younger individuals, low income, regardless of education, was associated with higher risk of CHD, but not observed for ≥ 65 years. Findings suggest that for younger participants, education attainment may not overcome the disadvantage conferred by low income in terms of CHD risk, whereas among those ≥ 65 years, the independent effects of income and education are less pronounced.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-015-2630-4</identifier><identifier>PMID: 26715537</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>African Continental Ancestry Group ; Age Distribution ; Aged ; Analysis ; Cardiovascular disease ; Coronary Artery Disease - epidemiology ; Coronary Artery Disease - ethnology ; Demographic aspects ; European Continental Ancestry Group ; Female ; Health risk assessment ; Heart attack ; Heart attacks ; Humans ; Incidence ; Income ; Male ; Middle Aged ; Mortality ; Poverty ; Proportional Hazards Models ; Prospective Studies ; Risk ; Risk factors ; Sex Distribution ; Social economics ; Socioeconomic Factors</subject><ispartof>BMC public health, 2015-12, Vol.15 (10913), p.1312-1312, Article 1312</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Lewis et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-23939e4ead08873871ed9cba04f309642eaae21fcff34b610ed243cef6ec0b9e3</citedby><cites>FETCH-LOGICAL-c424t-23939e4ead08873871ed9cba04f309642eaae21fcff34b610ed243cef6ec0b9e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696109/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696109/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26715537$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lewis, Marquita W</creatorcontrib><creatorcontrib>Khodneva, Yulia</creatorcontrib><creatorcontrib>Redmond, Nicole</creatorcontrib><creatorcontrib>Durant, Raegan W</creatorcontrib><creatorcontrib>Judd, Suzanne E</creatorcontrib><creatorcontrib>Wilkinson, Larrell L</creatorcontrib><creatorcontrib>Howard, Virginia J</creatorcontrib><creatorcontrib>Safford, Monika M</creatorcontrib><title>The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study.
The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income <$35,000)/low education (< high school), low income/high education, high income/low education, and high income/high education. Cox models estimated hazard ratios (HR) for incident CHD for each exposure group, examining differences by age group.
At baseline, 24,461 participants free of CHD experienced 809 incident CHD events through December 31, 2011 (median follow-up 6.0 years; interquartile range 4.5-7.3 years). Those with low income/low education had the highest incidence of CHD (10.1 [95% CI 8.4-12.1]/1000 person-years). After full adjustment, those with low income/low education had higher risk of incident CHD (HR 1.42 [95% CI: 1.14-1.76]) than those with high income/high education, but findings varied by age. Among those aged <65 years, compared with those reporting high income/high education, risk of incident CHD was significantly higher for those reporting low income/low education and low income/high education (adjusted HR 2.07 [95% CI 1.42-3.01] and 1.69 [95% CI 1.30-2.20], respectively). Those aged ≥ 65 years, risk of incident CHD was similar across income-education groups after full adjustment.
For younger individuals, low income, regardless of education, was associated with higher risk of CHD, but not observed for ≥ 65 years. Findings suggest that for younger participants, education attainment may not overcome the disadvantage conferred by low income in terms of CHD risk, whereas among those ≥ 65 years, the independent effects of income and education are less pronounced.</description><subject>African Continental Ancestry Group</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Analysis</subject><subject>Cardiovascular disease</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary Artery Disease - ethnology</subject><subject>Demographic aspects</subject><subject>European Continental Ancestry Group</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Heart attack</subject><subject>Heart attacks</subject><subject>Humans</subject><subject>Incidence</subject><subject>Income</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Poverty</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Risk</subject><subject>Risk factors</subject><subject>Sex Distribution</subject><subject>Social economics</subject><subject>Socioeconomic Factors</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptks9u1DAQxiMEoqXwAFyQJS7lkOJ_iZML0qotW6RKSNtythxnvOuS2MFOKvX1-mQ4u9tVi5APdmZ-803G_rLsI8FnhFTl10hoVdU5JkVOS4Zz_io7JlyQnPKiev3sfJS9i_EOYyKqgr7NjmgpSFEwcZw93m4A2X5QekTeoDF9ad831qnRejeHrEsBQMq1CNpJ7-Nui6acbcFpmEHtg3cqPKANqDCi1kZQcWa26BB8HECP9h7QKiW8i8j4gJbg10ENG6u3LVZKW9WhC2sMhFk5zgI3Y_C_AZ2uLpeL1cXNl9Rr41OPOE7tw_vsjVFdhA_7_ST79f3y9vwqv_65_HG-uM41p3zMKatZDRxUi6tKsEoQaGvdKMwNw3XJKSgFlBhtDONNSTC0lDMNpgSNmxrYSfZtpztMTQ-tBjcG1ckh2D5NLb2y8mXG2Y1c-3vJyzrJ1UngdC8Q_J8J4ih7GzV0nXLgpyiJKKhIv8aKhH7-B73zU3BpvESJuih4lV78QK1VB9I641NfPYvKBS9IKXApeKLO_kOl1UJvtXdgbIq_KCC7Ap3eLAYwhxkJlrPx5M54MhlPzsaTc82n55dzqHhyGvsLe8PWKw</recordid><startdate>20151229</startdate><enddate>20151229</enddate><creator>Lewis, Marquita W</creator><creator>Khodneva, Yulia</creator><creator>Redmond, Nicole</creator><creator>Durant, Raegan W</creator><creator>Judd, Suzanne E</creator><creator>Wilkinson, Larrell L</creator><creator>Howard, Virginia J</creator><creator>Safford, Monika M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20151229</creationdate><title>The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study</title><author>Lewis, Marquita W ; Khodneva, Yulia ; Redmond, Nicole ; Durant, Raegan W ; Judd, Suzanne E ; Wilkinson, Larrell L ; Howard, Virginia J ; Safford, Monika M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-23939e4ead08873871ed9cba04f309642eaae21fcff34b610ed243cef6ec0b9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>African Continental Ancestry Group</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Analysis</topic><topic>Cardiovascular disease</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary Artery Disease - ethnology</topic><topic>Demographic aspects</topic><topic>European Continental Ancestry Group</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Heart attack</topic><topic>Heart attacks</topic><topic>Humans</topic><topic>Incidence</topic><topic>Income</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Poverty</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Risk</topic><topic>Risk factors</topic><topic>Sex Distribution</topic><topic>Social economics</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lewis, Marquita W</creatorcontrib><creatorcontrib>Khodneva, Yulia</creatorcontrib><creatorcontrib>Redmond, Nicole</creatorcontrib><creatorcontrib>Durant, Raegan W</creatorcontrib><creatorcontrib>Judd, Suzanne E</creatorcontrib><creatorcontrib>Wilkinson, Larrell L</creatorcontrib><creatorcontrib>Howard, Virginia J</creatorcontrib><creatorcontrib>Safford, Monika M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lewis, Marquita W</au><au>Khodneva, Yulia</au><au>Redmond, Nicole</au><au>Durant, Raegan W</au><au>Judd, Suzanne E</au><au>Wilkinson, Larrell L</au><au>Howard, Virginia J</au><au>Safford, Monika M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2015-12-29</date><risdate>2015</risdate><volume>15</volume><issue>10913</issue><spage>1312</spage><epage>1312</epage><pages>1312-1312</pages><artnum>1312</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study.
The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income <$35,000)/low education (< high school), low income/high education, high income/low education, and high income/high education. Cox models estimated hazard ratios (HR) for incident CHD for each exposure group, examining differences by age group.
At baseline, 24,461 participants free of CHD experienced 809 incident CHD events through December 31, 2011 (median follow-up 6.0 years; interquartile range 4.5-7.3 years). Those with low income/low education had the highest incidence of CHD (10.1 [95% CI 8.4-12.1]/1000 person-years). After full adjustment, those with low income/low education had higher risk of incident CHD (HR 1.42 [95% CI: 1.14-1.76]) than those with high income/high education, but findings varied by age. Among those aged <65 years, compared with those reporting high income/high education, risk of incident CHD was significantly higher for those reporting low income/low education and low income/high education (adjusted HR 2.07 [95% CI 1.42-3.01] and 1.69 [95% CI 1.30-2.20], respectively). Those aged ≥ 65 years, risk of incident CHD was similar across income-education groups after full adjustment.
For younger individuals, low income, regardless of education, was associated with higher risk of CHD, but not observed for ≥ 65 years. Findings suggest that for younger participants, education attainment may not overcome the disadvantage conferred by low income in terms of CHD risk, whereas among those ≥ 65 years, the independent effects of income and education are less pronounced.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26715537</pmid><doi>10.1186/s12889-015-2630-4</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1471-2458 |
| ispartof | BMC public health, 2015-12, Vol.15 (10913), p.1312-1312, Article 1312 |
| issn | 1471-2458 1471-2458 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4696109 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerNature Journals; PubMed Central; Springer Nature OA/Free Journals |
| subjects | African Continental Ancestry Group Age Distribution Aged Analysis Cardiovascular disease Coronary Artery Disease - epidemiology Coronary Artery Disease - ethnology Demographic aspects European Continental Ancestry Group Female Health risk assessment Heart attack Heart attacks Humans Incidence Income Male Middle Aged Mortality Poverty Proportional Hazards Models Prospective Studies Risk Risk factors Sex Distribution Social economics Socioeconomic Factors |
| title | The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T00%3A03%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20impact%20of%20the%20combination%20of%20income%20and%20education%20on%20the%20incidence%20of%20coronary%20heart%20disease%20in%20the%20prospective%20Reasons%20for%20Geographic%20and%20Racial%20Differences%20in%20Stroke%20(REGARDS)%20cohort%20study&rft.jtitle=BMC%20public%20health&rft.au=Lewis,%20Marquita%20W&rft.date=2015-12-29&rft.volume=15&rft.issue=10913&rft.spage=1312&rft.epage=1312&rft.pages=1312-1312&rft.artnum=1312&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/s12889-015-2630-4&rft_dat=%3Cgale_pubme%3EA451670674%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1779554826&rft_id=info:pmid/26715537&rft_galeid=A451670674&rfr_iscdi=true |