Investigating Racial Differences in Allostatic Load by Educational Attainment among Non-Hispanic Black and White Men
Education continues to be a key factor contributing to increased access to critical life-improving opportunities and has been found to be protective against Allostatic Load (AL). The purpose of this study was to assess AL among Non-Hispanic (NH) White and NH Black men with the same level of educatio...
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Veröffentlicht in: | International journal of environmental research and public health 2022-04, Vol.19 (9), p.5486 |
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container_title | International journal of environmental research and public health |
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creator | Gilmore, Danielle R Carreño, Tzitzi Morán Zare, Hossein Moore, Justin X Rogers, Charles R Brooks, Ellen Petersen, Ethan Kennedy, Carson Thorpe, Jr, Roland J |
description | Education continues to be a key factor contributing to increased access to critical life-improving opportunities and has been found to be protective against Allostatic Load (AL). The purpose of this study was to assess AL among Non-Hispanic (NH) White and NH Black men with the same level of education. We used 1999-2016 National Health and Nutrition Examination Surveys (NHANES) data with an analytical sample of 6472 men (1842 NH Black and 4630 NH White), and nine biomarkers to measure AL, controlling for various demographic and health-related factors. NH Black men had a higher AL score than NH White men (39.1%, 842 vs. 37.7%, 1,975). Racial disparities in AL between NH Black and NH White men who have a college degree or above (PR: 1.49, CI: [1.24-1.80]) were observed. Models posited similar AL differences at every other level of education, although these were not statistically significant. The findings reveal that socioeconomic returns to education and the societal protective mechanisms associated with education vary greatly between White and Black men. |
doi_str_mv | 10.3390/ijerph19095486 |
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The purpose of this study was to assess AL among Non-Hispanic (NH) White and NH Black men with the same level of education. We used 1999-2016 National Health and Nutrition Examination Surveys (NHANES) data with an analytical sample of 6472 men (1842 NH Black and 4630 NH White), and nine biomarkers to measure AL, controlling for various demographic and health-related factors. NH Black men had a higher AL score than NH White men (39.1%, 842 vs. 37.7%, 1,975). Racial disparities in AL between NH Black and NH White men who have a college degree or above (PR: 1.49, CI: [1.24-1.80]) were observed. Models posited similar AL differences at every other level of education, although these were not statistically significant. The findings reveal that socioeconomic returns to education and the societal protective mechanisms associated with education vary greatly between White and Black men.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19095486</identifier><identifier>PMID: 35564878</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>African Americans ; Biomarkers ; Black people ; Black white differences ; Cholesterol ; Education ; Educational attainment ; Ethnicity ; Higher education ; Hispanic people ; Low income groups ; Men ; Minority & ethnic groups ; Nutrition ; Population ; Race ; Race factors ; Racial differences ; Racial inequality ; Racism ; Risk factors ; Secondary schools ; Socioeconomic factors ; Statistical analysis ; White people</subject><ispartof>International journal of environmental research and public health, 2022-04, Vol.19 (9), p.5486</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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The findings reveal that socioeconomic returns to education and the societal protective mechanisms associated with education vary greatly between White and Black men.</description><subject>African Americans</subject><subject>Biomarkers</subject><subject>Black people</subject><subject>Black white differences</subject><subject>Cholesterol</subject><subject>Education</subject><subject>Educational attainment</subject><subject>Ethnicity</subject><subject>Higher education</subject><subject>Hispanic people</subject><subject>Low income groups</subject><subject>Men</subject><subject>Minority & ethnic groups</subject><subject>Nutrition</subject><subject>Population</subject><subject>Race</subject><subject>Race factors</subject><subject>Racial differences</subject><subject>Racial inequality</subject><subject>Racism</subject><subject>Risk factors</subject><subject>Secondary schools</subject><subject>Socioeconomic factors</subject><subject>Statistical analysis</subject><subject>White people</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1vFDEMhiMEoqVw5YgiceEybbKZZJIL0lJaWmkLEgJxjDxJZjfLTLJNMpX675vSD7WcbNmPX9l-EXpPySFjihz5rUu7DVVE8VaKF2ifCkGaVhD68km-h97kvCWEyVao12iPcS5a2cl9VM7DlcvFr6H4sMY_wXgY8Vc_DC65YFzGPuDlOMZcKmHwKoLF_TU-sbOphRgqvSwFfJhcKBimWFW-x9Cc-byDUCe-jGD-YggW_9n44vCFC2_RqwHG7N7dxwP0-_Tk1_FZs_rx7fx4uWpMS2VpmKFkUFLYRWd4L2nv3MJxcK3qe8cUWGoJY2ZgDCwMhPaGMgOcWMGFsR1nB-jzne5u7idnTd0wwah3yU-QrnUEr593gt_odbzSihIuW1oFPt0LpHg51z_pyWfjxhGCi3PWCyHaTinayYp-_A_dxjnV9_yjGCFEyEWlDu8ok2LOyQ2Py1Cibw3Vzw2tAx-envCIPzjIbgDXE59q</recordid><startdate>20220430</startdate><enddate>20220430</enddate><creator>Gilmore, Danielle R</creator><creator>Carreño, Tzitzi Morán</creator><creator>Zare, Hossein</creator><creator>Moore, Justin X</creator><creator>Rogers, Charles R</creator><creator>Brooks, Ellen</creator><creator>Petersen, Ethan</creator><creator>Kennedy, Carson</creator><creator>Thorpe, Jr, Roland J</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7U4</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>WZK</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1090-3804</orcidid><orcidid>https://orcid.org/0000-0002-5496-752X</orcidid><orcidid>https://orcid.org/0000-0002-5832-0854</orcidid><orcidid>https://orcid.org/0000-0002-3571-8229</orcidid></search><sort><creationdate>20220430</creationdate><title>Investigating Racial Differences in Allostatic Load by Educational Attainment among Non-Hispanic Black and White Men</title><author>Gilmore, Danielle R ; 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subjects | African Americans Biomarkers Black people Black white differences Cholesterol Education Educational attainment Ethnicity Higher education Hispanic people Low income groups Men Minority & ethnic groups Nutrition Population Race Race factors Racial differences Racial inequality Racism Risk factors Secondary schools Socioeconomic factors Statistical analysis White people |
title | Investigating Racial Differences in Allostatic Load by Educational Attainment among Non-Hispanic Black and White Men |
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