Evidence map›Paper›PMID 32361636›Full record

ArticlePsychoneuroendocrinology2020

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

Michelle I Cardel, Yi Guo, Mario Sims, Akilah Dulin, Darci Miller, Xiaofei Chi, Gregory Pavela, Mark D DeBoer, Matthew J Gurka

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychoneuroendocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
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  3. Socioeconomic Status, Social Support, and Quality of Life Among Black Adults.Journal of racial and ethnic health disparities · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Michelle I CardelDepartment of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: mcardel@ufl.edu.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: yiguo@ufl.edu.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, Mississippi, 39216, USA. Electronic address: msims2@umc.edu.
Akilah DulinDepartment 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 MillerDepartment of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: dmiller5@ufl.edu.
Xiaofei ChiDepartment of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: xiaofei.chi@ufl.edu.
Gregory PavelaDepartment of Health Behavior, University of Alabama at Birmingham, 1665 University Blvd., Birmingham, AL 35294, USA. Electronic address: pavela@uab.edu.
Mark D DeBoerDepartment of Pediatrics, PO Box 800386, University of Virginia Health System, Charlottesville, Virginia, 22908-0386, USA. Electronic address: MDD5Z@hscmail.mcc.virginia.edu.
Matthew J GurkaDepartment of Health Outcomes and Biomedical Informatics, University of Florida, PO Box 100177, Gainesville, Florida, 32610-0177, USA. Electronic address: matthewgurka@ufl.edu.
University of Florida Health · USBrown University · USUniversity of Alabama at Birmingham · USUniversity of Mississippi Medical Center · USUniversity of Virginia Health System · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
UCSF Research in Implementation Sciences for Equity (RISE)R25HL126146 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRYSTAL WILEY CENE, Alicia Fernandez · 2014 to 2026
$4.6M
Socioeconomic Status and Subjective Social Status as Modifiers of Stressors and Discrimination in their Relationship with MetS Severity Over TimeR01HL120960 · NHLBI · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2014 to 2018
$2.1M
Acceptance-Based Therapy Weight Loss Intervention for Adolescents: A Pilot, Randomized Controlled TrialK01HL141535 · NHLBI · UNIVERSITY OF FLORIDA · PI CARDEL, MICHELLE · 2018 to 2020
$455k
NCATS NIH HHS UL1 TR001427NHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K01 HL141535NHLBI NIH HHS R01 HL120960NHLBI NIH HHS R25 HL126146NIDDK NIH HHS P30 DK056336NIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

purposeTo 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).

methodsParticipants 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. PRINCIPAL

resultsIndependent 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. MAJOR

conclusionsThough 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.

Indexed as

Severity of Illness IndexSocial ClassAdultAgedBlack or African AmericanFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedPrognosisSex FactorsSocial Determinants of HealthAfrican AmericansCardiometabolic healthJackson Heart StudyMetabolic syndromeSocial statusSocioeconomic status

Identifiers

PMID32361636
PMCPMC7304382
OpenAlexW3020386037

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.