Detailed Information on Publication Record
2017
Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
ŠTĚPANÍKOVÁ, Irena, Lori Brand BATEMAN and Gabriela R. OATESBasic information
Original name
Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
Authors
ŠTĚPANÍKOVÁ, Irena (203 Czech Republic, guarantor, belonging to the institution), Lori Brand BATEMAN (840 United States of America) and Gabriela R. OATES (840 United States of America)
Edition
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, NEW YORK, ELSEVIER SCIENCE INC, 2017, 0749-3797
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30304 Public and environmental health
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.127
RIV identification code
RIV/00216224:14310/17:00100126
Organization unit
Faculty of Science
UT WoS
000390667100009
Keywords in English
C-REACTIVE PROTEIN; 2005-2010 NHANES DATA; AFRICAN-AMERICAN; CARDIOVASCULAR RISK; UNITED-STATES; SOCIAL DETERMINANTS; DEPRESSIVE SYMPTOMS; POLICY IMPLICATIONS; RACIAL DISPARITIES; INSULIN-RESISTANCE
Tags
International impact, Reviewed
Změněno: 28/2/2018 21:03, Mgr. Michaela Hylsová, Ph.D.
Abstract
V originále
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.