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Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
I. Stepanikova, LB. Bateman, GR. Oates,
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, pozorovací studie
- MeSH
- běloši psychologie statistika a číselné údaje MeSH
- biologické markery krev MeSH
- C-reaktivní protein analýza MeSH
- černoši nebo Afroameričané psychologie statistika a číselné údaje MeSH
- diskriminace (psychologie) MeSH
- disparity zdravotního stavu MeSH
- dospělí MeSH
- E-selektin krev MeSH
- fibrinogen analýza MeSH
- interleukin-6 krev MeSH
- lidé středního věku MeSH
- lidé MeSH
- percepce MeSH
- průřezové studie MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- sociální determinanty zdraví * MeSH
- společenská třída * MeSH
- zánět krev epidemiologie psychologie MeSH
- zdravé chování MeSH
- životní styl MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- pozorovací studie MeSH
INTRODUCTION: This study investigates social determinants of systemic inflammation, focusing on race, SES, and perceived discrimination. METHODS: Data on 884 white and 170 black participants were obtained from the Survey of Midlife in the U.S., a cross-sectional observational study combining survey measures, anthropometry, and biomarker assay. Data, collected in 2004-2009, were analyzed in 2016. Main outcome measures were fasting blood concentrations of C-reactive protein, interleukin 6, fibrinogen, and E-selectin. For each biomarker, series of multivariate linear regression models were estimated for the pooled sample and separately for blacks and whites. Full models included social determinants; psychological, lifestyle, and health factors; and demographic covariates. RESULTS: Bivariate analyses indicated higher concentrations of all inflammation markers among blacks compared with whites (p<0.001). In fully adjusted models using the pooled sample, racial differences persisted for interleukin 6 (p<0.001) and fibrinogen (p<0.01). For E-selectin and C-reactive protein, racial differences were explained after adjusting for covariates. Education was linked to lower fibrinogen concentration (p<0.05) in the fully adjusted model and C-reactive protein concentration (p<0.01) after adjusting for demographic factors and income. Lifetime perceived discrimination was related to higher concentrations of fibrinogen (p<0.05) in the fully adjusted model, and higher concentrations of E-selectin and interleukin 6 (p<0.05) after adjusting for socioeconomic status (SES) and demographic factors. CONCLUSIONS: This study clarifies the contributions of race, SES, and perceived discrimination to inflammation. It suggests that inflammation-reducing interventions should focus on blacks and individuals facing socioeconomic disadvantages, especially low education.
Department of Sociology University of Alabama at Birmingham Birmingham Alabama
Research Centre for Toxic Compounds in the Environment Masaryk University Brno Czech Republic
Citace poskytuje Crossref.org
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- $a INTRODUCTION: This study investigates social determinants of systemic inflammation, focusing on race, SES, and perceived discrimination. METHODS: Data on 884 white and 170 black participants were obtained from the Survey of Midlife in the U.S., a cross-sectional observational study combining survey measures, anthropometry, and biomarker assay. Data, collected in 2004-2009, were analyzed in 2016. Main outcome measures were fasting blood concentrations of C-reactive protein, interleukin 6, fibrinogen, and E-selectin. For each biomarker, series of multivariate linear regression models were estimated for the pooled sample and separately for blacks and whites. Full models included social determinants; psychological, lifestyle, and health factors; and demographic covariates. RESULTS: Bivariate analyses indicated higher concentrations of all inflammation markers among blacks compared with whites (p<0.001). In fully adjusted models using the pooled sample, racial differences persisted for interleukin 6 (p<0.001) and fibrinogen (p<0.01). For E-selectin and C-reactive protein, racial differences were explained after adjusting for covariates. Education was linked to lower fibrinogen concentration (p<0.05) in the fully adjusted model and C-reactive protein concentration (p<0.01) after adjusting for demographic factors and income. Lifetime perceived discrimination was related to higher concentrations of fibrinogen (p<0.05) in the fully adjusted model, and higher concentrations of E-selectin and interleukin 6 (p<0.05) after adjusting for socioeconomic status (SES) and demographic factors. CONCLUSIONS: This study clarifies the contributions of race, SES, and perceived discrimination to inflammation. It suggests that inflammation-reducing interventions should focus on blacks and individuals facing socioeconomic disadvantages, especially low education.
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