Evidence map›Paper›PMID 30688190›Full record

ArticleJournal of biosocial science2019

Social stratification and allostatic load: shapes of health differences in the MIDUS study in the United States.

Javier M Rodriguez, Arun S Karlamangla, Tara L Gruenewald, Dana Miller-Martinez, Sharon S Merkin, Teresa E Seeman

Open access · greenAbstract read
In one paragraph

Article in Journal of biosocial science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  10. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Javier M Rodriguez1Department of Politics and Government and the Inequality and Policy Research Center,Claremont Graduate University,Claremont,USA.
Arun S Karlamangla2Division of Geriatrics, David Geffen School of Medicine,University of California,Los Angeles,USA.
Tara L Gruenewald3Davis School of Gerontology,University of Southern California,USA.
Dana Miller-Martinez2Division of Geriatrics, David Geffen School of Medicine,University of California,Los Angeles,USA.
Sharon S Merkin2Division of Geriatrics, David Geffen School of Medicine,University of California,Los Angeles,USA.
Teresa E Seeman2Division of Geriatrics, David Geffen School of Medicine,University of California,Los Angeles,USA.
University of California, Los Angeles · USClaremont Graduate University · USUniversity of Southern California · US

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Longitudinal Perspectives on Race and Health in MIDUS: Insights from MilwaukeeR01AG047154 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2015 to 2017
$1000k
NIA NIH HHS P01 AG020166NIA NIH HHS R01 AG047154NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Social stratification is an important mechanism of human organization that helps to explain health differences between demographic groups commonly associated with socioeconomic gradients. Individuals, or group of individuals, with similar health profiles may have had different stratification experiences. This is particularly true as social stratification is a significant non-measurable source of systematic unobservable differences in both SES indicators and health statuses of disadvantage. The goal of the present study was to expand the bulk of research that has traditionally treated socioeconomic and demographic characteristics as independent, additive influences on health by examining data from the United States. It is hypothesized that variation in an index of multi-system physiological dysregulation - allostatic load - is associated with social differentiation factors, sorting individuals with similar demographic and socioeconomic characteristics into mutually exclusive econo-demographic classes. The data were from the Longitudinal and Biomarker samples of the national Study of Midlife Development in the US (MIDUS) conducted in 1995 and 2004/2006. Latent class analyses and regression analyses revealed that physiological dysregulation linked to socioeconomic variation among black people, females and older adults are associated with forces of stratification that confound socioeconomic and demographic indicators. In the United States, racial stratification of health is intrinsically related to the degree to which black people in general, and black females in particular, as a group, share an isolated status in society. Findings present evidence that disparities in health emerge from group-differentiation processes to the degree that individuals are distinctly exposed to the ecological, political, social, economic and historical contexts in which social stratification is ingrained. Given that health policies and programmes emanate from said legal and political environments, interventions should target the structural conditions that expose different subgroups to different stress risks in the first place.

Indexed as

Health Status DisparitiesSocial ClassAdultAgedAged, 80 and overAllostasisBiomarkersBlack or African AmericanFemaleHealth StatusHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedRegression AnalysisBiomarkersAllostatic loadHealth DisparitiesSocial Stratification

Identifiers

PMID30688190
PMCPMC6661202
OpenAlexW2911290924

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.