Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
Jazyk angličtina Země Nizozemsko Médium print
Typ dokumentu časopisecké články, pozorovací studie
Grantová podpora
U54 MD008176
NIMHD NIH HHS - United States
P30 DK079626
NIDDK NIH HHS - United States
K12 HS023009
AHRQ HHS - United States
P01 AG020166
NIA NIH HHS - United States
U19 AG051426
NIA NIH HHS - United States
PubMed
27989295
PubMed Central
PMC5319849
DOI
10.1016/j.amepre.2016.09.026
PII: S0749-3797(16)30472-X
Knihovny.cz E-zdroje
- 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
- Názvy látek
- biologické markery MeSH
- C-reaktivní protein MeSH
- E-selektin MeSH
- fibrinogen MeSH
- IL6 protein, human MeSH Prohlížeč
- interleukin-6 MeSH
- SELE protein, human MeSH Prohlížeč
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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