2017
Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
ŠTĚPANÍKOVÁ, Irena, Lori Brand BATEMAN a Gabriela R. OATESZákladní údaje
Originální název
Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination
Autoři
ŠTĚPANÍKOVÁ, Irena (203 Česká republika, garant, domácí), Lori Brand BATEMAN (840 Spojené státy) a Gabriela R. OATES (840 Spojené státy)
Vydání
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, NEW YORK, ELSEVIER SCIENCE INC, 2017, 0749-3797
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30304 Public and environmental health
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 4.127
Kód RIV
RIV/00216224:14310/17:00100126
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000390667100009
Klíčová slova anglicky
C-REACTIVE PROTEIN; 2005-2010 NHANES DATA; AFRICAN-AMERICAN; CARDIOVASCULAR RISK; UNITED-STATES; SOCIAL DETERMINANTS; DEPRESSIVE SYMPTOMS; POLICY IMPLICATIONS; RACIAL DISPARITIES; INSULIN-RESISTANCE
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 28. 2. 2018 21:03, Mgr. Michaela Hylsová, Ph.D.
Anotace
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.