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type=\u0022text\/css\u0022 rel=\u0022stylesheet\u0022 href=\u0022\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/advagg_css\/css__ce2QY63WIanKyr8eSq7eavr1XQRRmFD6ZSmwpyJi8lM__zXwFqpqmxrZOXXcd_TpBQpjuELbmIP9wBR5UuTDWAO4__YJWWMMdfCJuAFm5cUEp88OsodhO3ZA-2lzRfoBsSlk4.css\u0022 media=\u0022all\u0022 \/\u003E\n\u003Clink rel=\u0027stylesheet\u0027 type=\u0027text\/css\u0027 href=\u0027\/sites\/all\/modules\/contrib\/panels\/plugins\/layouts\/onecol\/onecol.css\u0027 \/\u003E\u003C\/head\u003E\u003Cbody\u003E\u003Cdiv class=\u0022panels-ajax-tab-panel panels-ajax-tab-panel-sageoa-tab-art\u0022\u003E\u003Cdiv class=\u0022panel-display panel-1col clearfix\u0022 \u003E\n  \u003Cdiv class=\u0022panel-panel panel-col\u0022\u003E\n    \u003Cdiv\u003E\u003Cdiv class=\u0022panel-pane pane-highwire-markup\u0022 \u003E\n  \n      \n  \n  \u003Cdiv class=\u0022pane-content\u0022\u003E\n    \u003Cdiv class=\u0022highwire-markup\u0022\u003E\u003Cdiv xmlns=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022 id=\u0022content-block-markup\u0022 xmlns:xhtml=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022\u003E\u003Cdiv class=\u0022article fulltext-view \u0022\u003E\u003Cspan class=\u0022highwire-journal-article-marker-start\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022section abstract\u0022 id=\u0022abstract-1\u0022\u003E\u003Ch2\u003ESummary\u003C\/h2\u003E\u003Cp id=\u0022p-1\u0022\u003ESocial inequities are strongly associated with health disparities. Research shows that chronic and traumatic social inequities can be epigenetic and complicate the health risks of inflammatory illnesses such as type 2 diabetes, cardiovascular disease, and depression. This article discusses the findings of this study which tested basic assumptions of the epigenetic biological link between social inequities and health disparities in African Americans living in the United States.\u003C\/p\u003E\u003C\/div\u003E\u003Cul class=\u0022kwd-group\u0022\u003E\u003Cli class=\u0022kwd\u0022\u003Emood disorders\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003Eprevention \u0026amp; screening\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-1\u0022\u003E\u003Cp id=\u0022p-2\u0022\u003ESocial inequities are strongly associated with health disparities. Research shows that chronic and traumatic social inequities can be epigenetic and complicate the health risks of inflammatory illnesses such as type 2 diabetes, cardiovascular disease, and depression. Linda D. Oakley, PhD, University of Wisconsin, Madison, Wisconsin, USA, presented the findings of this study, conducted with Rick P. Voland, PhD, University of Wisconsin, Madison, Wisconsin, USA which tested basic assumptions of the epigenetic biological link between social inequities and health disparities in African Americans living in the United States.\u003C\/p\u003E\u003Cp id=\u0022p-3\u0022\u003EThe study design was guided by an upstream socialecological model of race as a potential mediator of the relationship between social inequities and health disparities (\u003Ca id=\u0022xref-fig-1-1\u0022 class=\u0022xref-fig\u0022 href=\u0022#F1\u0022\u003EFigure 1\u003C\/a\u003E).\u003C\/p\u003E\u003Cdiv id=\u0022F1\u0022 class=\u0022fig pos-float  odd\u0022\u003E\u003Cdiv class=\u0022highwire-figure\u0022\u003E\u003Cdiv class=\u0022fig-inline-img-wrapper\u0022\u003E\u003Cdiv class=\u0022fig-inline-img\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/14\/44\/18\/F1.large.jpg?width=800\u0026amp;height=600\u0026amp;carousel=1\u0022 title=\u0022Social-Ecological Model of African American Population: Effects on SES and Health\u0022 class=\u0022fragment-images colorbox-load\u0022 rel=\u0022gallery-fragment-images-619521696\u0022 data-figure-caption=\u0022Social-Ecological Model of African American Population: Effects on SES and Health\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003E\u003Cimg class=\u0022fragment-image\u0022 alt=\u0022Figure 1.\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/14\/44\/18\/F1.medium.gif\u0022\/\u003E\u003C\/a\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cul class=\u0022highwire-figure-links inline\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/14\/44\/18\/F1.large.jpg?download=true\u0022 class=\u0022highwire-figure-link highwire-figure-link-download\u0022 title=\u0022Download Figure 1.\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload figure\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/content\/spmdc\/14\/44\/18\/F1.large.jpg\u0022 class=\u0022highwire-figure-link highwire-figure-link-newtab\u0022 target=\u0022_blank\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EOpen in new tab\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/15140\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003Cdiv class=\u0022fig-caption attrib\u0022\u003E\u003Cspan class=\u0022fig-label\u0022\u003EFigure 1.\u003C\/span\u003E \u003Cp id=\u0022p-4\u0022 class=\u0022first-child\u0022\u003ESocial-Ecological Model of African American Population: Effects on SES and Health\u003C\/p\u003E\u003Cq class=\u0022attrib\u0022 id=\u0022attrib-1\u0022\u003EAA, African American; HS, high school; SES, socioeconomic status.\u003C\/q\u003E\u003Cq class=\u0022attrib\u0022 id=\u0022attrib-2\u0022\u003EReproduced with permission from LD Oakley, PhD.\u003C\/q\u003E\u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp id=\u0022p-5\u0022\u003EThe study sample was collected from US population data aggregated by county [University of Wisconsin Population Health Institute. 2014 County Health Rankings. 2014]. The mediators tested were African American total population, density, and percentage; level of black-white population segregation; and nonracial fragmentation of municipal infrastructures. Socioeconomic status (SES) was defined as the percentage of county adults who had a high school diploma with or without some years of college, were unemployed, lacked support, and had children living in poverty. Health outcome variables were premature mortality, fair or poor health, number of days of poor physical health, and number of days of poor mental health. Premature mortality was defined as mean years of life lost before age 65. Fair-poor health was defined as mean adult self-ratings of fair or poor health. A poor physical health day was defined as mean days lost in the past month due to poor physical health. A poor mental health day was defined as mean days lost in the past month due to poor mental health.\u003C\/p\u003E\u003Cp id=\u0022p-6\u0022\u003EThe total county population was 233 584 (11.1%) African Americans, with a mean African American density per square mile of 4993. The mean number of premature deaths in years per 100 000 was 7273. The percentages of African Americans with fair or poor health, poor physical health days per month, and poor mental health days per month were 15.2%, 3.6%, and 3.4%, respectively. The high school graduation rate was 81.7%, and 60.2% attended some college. Almost 20% of African American children were living in poverty. The percentages of African Americans with no socioeconomic support or employment were 19.3% and 9.2%, respectively.\u003C\/p\u003E\u003Cp id=\u0022p-7\u0022\u003EThe African American percentage of the total county population was the only mediator associated with both SES and health outcome variables (\u003Ca id=\u0022xref-table-wrap-1-1\u0022 class=\u0022xref-table\u0022 href=\u0022#T1\u0022\u003ETable 1\u003C\/a\u003E). The impact indices for all but 1 health outcome were significantly (\u03b2 \u2265 0.1, 95% CI) associated with the African American population percentage.\u003C\/p\u003E\u003Cdiv id=\u0022T1\u0022 class=\u0022table pos-float\u0022\u003E\u003Cdiv class=\u0022table-inline\u0022\u003E\u003Cdiv class=\u0022callout\u0022\u003E\u003Cspan\u003EView this table:\u003C\/span\u003E\u003Cul class=\u0022callout-links\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022\/\u0022 class=\u0022table-expand-inline\u0022 data-table-url=\u0022\/highwire\/markup\/15141\/expansion?postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media%2Chighwire_embed\u0026amp;table-expand-inline=1\u0022 html=\u00221\u0022 fragment=\u0022#\u0022 external=\u00221\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView inline\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022\/highwire\/markup\/15141\/expansion?width=1000\u0026amp;height=500\u0026amp;iframe=true\u0026amp;postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media\u0022 class=\u0022colorbox colorbox-load table-expand-popup\u0022 rel=\u0022gallery-fragment-tables\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView popup\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/15141\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022table-caption\u0022\u003E\u003Cspan class=\u0022table-label\u0022\u003ETable 1.\u003C\/span\u003E \u003Cp id=\u0022p-8\u0022 class=\u0022first-child\u0022\u003EModel Estimates for African American Percentage of County Population as Mediator of SES Effects on County Health Outcomes\u003C\/p\u003E\u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cp id=\u0022p-11\u0022\u003EThe African American total number, the African American county density, the black-white segregation level, and municipal fragmentation were not associated with either SES or county health outcomes.\u003C\/p\u003E\u003Cp id=\u0022p-12\u0022\u003EPoor mental health days had the largest (16.7%) mediating effect with respect to race. The association of SES with poor mental health days was negatively mediated by the population percentage of African Americans. This mediation effect decreased as the population percentage of African Americans increased. Psychiatric nursing assessment of poor mental health in persons coping with comorbid illnesses and problems with education, employment, social support, and poverty should include the social-ecological effects of race.\u003C\/p\u003E\u003C\/div\u003E\u003Cul class=\u0022copyright-statement\u0022\u003E\u003Cli class=\u0022fn\u0022 id=\u0022copyright-statement-1\u0022\u003E\u00a9 2015 MD Conference Express\u00ae\u003C\/li\u003E\u003C\/ul\u003E\u003Cspan class=\u0022highwire-journal-article-marker-end\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Cspan id=\u0022related-urls\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Ca href=\u0022http:\/\/mdc.sagepub.com\/content\/14\/44\/18.abstract\u0022 class=\u0022hw-link hw-link-article-abstract\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView Summary\u003C\/a\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \u003C\/div\u003E\n\u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n\u003C\/div\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_figures.js?nzlv01\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_openurl.js?nzlv01\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_tables.js?nzlv01\u0022\u003E\u003C\/script\u003E\n\u003C\/body\u003E\u003C\/html\u003E"}