Objective and subjective socioeconomic status associated with metabolic syndrome severity among African American adults in Jackson Heart Study.

Adult Black or African American / ethnology Aged Female Humans Longitudinal Studies Male Metabolic Syndrome / ethnology Middle Aged Prognosis Severity of Illness Index Sex Factors Social Class Social Determinants of Health
African Americans Cardiometabolic health Jackson Heart Study Metabolic syndrome Social status Socioeconomic status

Journal

Psychoneuroendocrinology
ISSN: 1873-3360
Titre abrégé: Psychoneuroendocrinology
Pays: England
ID NLM: 7612148

Informations de publication

Date de publication:
07 2020
Historique:
received: 26 08 2019
revised: 12 02 2020
accepted: 02 04 2020
pubmed: 4 5 2020
medline: 2 6 2021
entrez: 4 5 2020
Statut: ppublish

Résumé

To assess independent associations between objective socioeconomic status (OSS) and subjective social status (SSS) with metabolic syndrome (MetS) severity and indicators among African American (AA) adults in the Jackson Heart Study (JHS) at baseline (2000-2004) and eight-year follow-up (2009-2013). Participants included 1724 AA adults from the JHS cohort (64.4 % women; mean age 53.4 ± 11.8). Associations of OSS (annual household income and school years completed) and SSS (measured with MacArthur Scales) with sex- and race/ethnic-specific MetS severity Z-score were examined after adjustment for demographics and MetS risk factors (i.e., nutrition, physical activity, smoking status, alcohol consumption, and depressive symptoms) at baseline and eight-year follow-up. Independent of OSS, demographic, psychosocial, and lifestyle factors, individuals with lower US-society SSS had more severe MetS at baseline. A significant interaction existed between sex and US-society SSS such that women with lower perceived social status had more severe MetS severity at baseline, and for every one unit increase in US-society SSS, MetS severity Z-score is estimated to decrease by 0.04. Components of MetS driving the relationship between US-society SSS and MetS severity at baseline were the inverse associations of SSS with glucose levels and the positive associations of SSS with HDL-C. Physical activity was independently associated with MetS severity at baseline, but not at eight-year follow-up. Though subjective and objective measures of social status are independently associated with cardiometabolic risk factors and MetS severity among AA adults, SSS may be a stronger predictor of MetS severity than OSS, particularly among women. SSS should be considered in conjunction with OSS when exploring social determinants of cardiometabolic health.

Identifiants

DOI: 10.1016/j.psyneuen.2020.104686 PMID: 32361636 PMC: PMC7304382
pubmed: 32361636
pii: S0306-4530(20)30105-0
doi: 10.1016/j.psyneuen.2020.104686
pmc: PMC7304382
mid: NIHMS1592767
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

104686

Subventions

Organisme : NHLBI NIH HHS
ID : HHSN268201800012C
Pays : United States
Organisme : NHLBI NIH HHS
ID : R25 HL126146
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL141535
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800014C
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001427
Pays : United States
Organisme : NIMHD NIH HHS
ID : HHSN268201800013I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800011C
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL120960
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK056336
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800015I
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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Auteurs

Michelle I Cardel (MI)

Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: mcardel@ufl.edu.

Yi Guo (Y)

Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: yiguo@ufl.edu.

Mario Sims (M)

Department of Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, Mississippi, 39216, USA. Electronic address: msims2@umc.edu.

Akilah Dulin (A)

Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-8, 121 S. Main St., Providence, Rhode Island, 02912, USA. Electronic address: akilah_dulin_keita@brown.edu.

Darci Miller (D)

Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: dmiller5@ufl.edu.

Xiaofei Chi (X)

Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: xiaofei.chi@ufl.edu.

Gregory Pavela (G)

Department of Health Behavior, University of Alabama at Birmingham, 1665 University Blvd., Birmingham, AL 35294, USA. Electronic address: pavela@uab.edu.

Mark D DeBoer (MD)

Department of Pediatrics, PO Box 800386, University of Virginia Health System, Charlottesville, Virginia, 22908-0386, USA. Electronic address: MDD5Z@hscmail.mcc.virginia.edu.

Matthew J Gurka (MJ)

Department of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: matthewgurka@ufl.edu.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Objective and subjective socioeconomic status...
questionsmedicales.fr › Personnes › Nord-Américains › Groupes de population aux États-Unis › Populations d'origine continentale › Noir ou Africain Américain › Objective and subjective socioeconomic status...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Objective and subjective socioeconomic status...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Objective and subjective socioeconomic status...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études longitudinales › Objective and subjective socioeconomic status...
questionsmedicales.fr › Maladies métaboliques et nutritionnelles › Maladies métaboliques › Syndrome métabolique X › Objective and subjective socioeconomic status...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Objective and subjective socioeconomic status...
questionsmedicales.fr › Diagnostic › Pronostic › Objective and subjective socioeconomic status...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Enquêtes et questionnaires › Enquêtes de santé › Indicateurs d'état de santé › Acuité des besoins du patient › Indice de gravité de la maladie › Objective and subjective socioeconomic status...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Facteurs épidémiologiques › Facteurs sexuels › Objective and subjective socioeconomic status...
questionsmedicales.fr › Caractéristiques de la population › Facteurs socioéconomiques › Classe sociale › Objective and subjective socioeconomic status...
questionsmedicales.fr › Caractéristiques de la population › Santé › Déterminants sociaux de la santé › Objective and subjective socioeconomic status...