Perceived Discrimination and Trajectories of C-Reactive Protein: The Jackson Heart Study.


Journal

American journal of preventive medicine
ISSN: 1873-2607
Titre abrégé: Am J Prev Med
Pays: Netherlands
ID NLM: 8704773

Informations de publication

Date de publication:
02 2020
Historique:
received: 25 03 2019
revised: 17 09 2019
accepted: 18 09 2019
pubmed: 14 12 2019
medline: 26 11 2020
entrez: 14 12 2019
Statut: ppublish

Résumé

Perceiving discriminatory treatment may contribute to systemic inflammation, a risk factor of cardiovascular pathophysiology. This study evaluated the association of self-reported discrimination with changes in high-sensitivity C-reactive protein and the mediating role of adiposity. The sample included 5,145 African-Americans, aged 21-92 years, in the Jackson Heart Study. Everyday, lifetime, and burden from perceived discrimination comprised primary predictors in 3 sets of multivariable linear regression models of baseline (2000-2004) discrimination and natural logarithm of high-sensitivity C-reactive protein. Multivariable linear mixed models assessed mean changes in natural logarithm of high-sensitivity C-reactive protein over the study period (2000-2013). Mediation was quantified by percentage changes in estimates adjusted for BMI, waist circumference, and waist-to-height ratio. Multiple imputation addressed missingness in baseline covariates and in high-sensitivity C-reactive protein taken at all 3 study examinations. Analyses were conducted in 2018. In cross-sectional analyses, male participants in the middle and highest tertiles of lifetime discrimination had natural logarithm of high-sensitivity C-reactive protein levels that were 0.13 (95% CI= -0.24, -0.01) and 0.15 (95% CI= -0.27, -0.02) natural logarithm(mg/dL) lower than those in the lowest tertile. In longitudinal analyses, all participants reporting more frequent everyday discrimination had a 0.07 natural logarithm(mg/dL) greater increase in natural logarithm of high-sensitivity C-reactive protein per examination than those reporting none (95% CI=0.01, 0.12). A similar trend emerged for lifetime discrimination and changes in natural logarithm of high-sensitivity C-reactive protein (adjusted mean increase per visit: 0.04 natural logarithm[mg/dL], 95% CI=0.01, 0.08). Adiposity did not mediate the longitudinal associations. Everyday and lifetime discrimination were associated with significant high-sensitivity C-reactive protein increases over 13 years. The physiologic response to discrimination may lead to systemic inflammation.

Identifiants

pubmed: 31831294
pii: S0749-3797(19)30428-3
doi: 10.1016/j.amepre.2019.09.019
pmc: PMC6985923
mid: NIHMS1066215
pii:
doi:

Substances chimiques

C-Reactive Protein 9007-41-4

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

199-207

Subventions

Organisme : NHLBI NIH HHS
ID : T32 HL129982
Pays : United States
Organisme : NIMHD NIH HHS
ID : HHSN268201800013I
Pays : United States
Organisme : NIAMS NIH HHS
ID : HHSN268201100014I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800015I
Pays : United States
Organisme : NCI NIH HHS
ID : HHSN261201800010I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100011I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201200012I
Pays : United States

Informations de copyright

Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Auteurs

Kendra D Sims (KD)

Program in Epidemiology, School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon. Electronic address: simske@oregonstate.edu.

Mario Sims (M)

Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi.

LáShauntá M Glover (LM)

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Ellen Smit (E)

Program in Epidemiology, School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon.

Michelle C Odden (MC)

Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California.

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Classifications MeSH