Evidence map›Paper›PMID 28178032›Full record

ArticlePsychosomatic medicine2017

Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities.

Camelia E Hostinar, Kharah M Ross, Edith Chen, Gregory E Miller

Abstract read
In one paragraph

Article in Psychosomatic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  7. Article
  8. Prevalence of metabolic syndrome among adults treated at a district hospital outpatient department.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
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  12. Review
  13. Metabolic health disparities driven by financial stress: Behavioural adaptation or modification?Stress and health : journal of the International Society for the Investigation of Stress · 2023
    Article
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  15. Observational
  16. Article
  17. Sex differences in autonomic responses to stress: implications for cardiometabolic physiology.American journal of physiology. Endocrinology and metabolism · 2022
    Review
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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

4 authors.

Camelia E HostinarFrom the Psychology Department (Hostinar), University of California, Davis, California; Psychology Department (Ross), University of California, Los Angeles, California; and Psychology Department and Institute for Policy Research (Chen, Miller), Northwestern University, Evanston, Illinois.
Kharah M Ross
Edith Chen
Gregory E Miller

Funding

Childhood Origins of CHD Disparities: Neural & Immune PathwaysR01HL122328 · NHLBI · NORTHWESTERN UNIVERSITY · PI MILLER, GREGORY EVAN · 2015 to 2018
$3.1M
Biological Embedding of Early-Life SESR01HD058502 · NICHD · UNIVERSITY OF BRITISH COLUMBIA · PI MILLER, GREGORY EVAN · 2009 to 2013
$1.3M
Self-regulation as a Health-Protective Factor in Adverse Socioeconomic ConditionsF32HD078048 · NICHD · NORTHWESTERN UNIVERSITY · PI HOSTINAR CAUDILL, CAMELIA E · 2014 to 2015
$92k
NHLBI NIH HHS R01 HL122328NICHD NIH HHS F32 HD078048NICHD NIH HHS R01 HD058502
6 · The paper itself

Abstract

objectiveA quarter of the world's population have metabolic syndrome (MetS). MetS prevalence is stratified by socioeconomic status (SES), such that low SES is associated with higher MetS risk. The present study examined the relative roles of early-life SES and current SES in explaining MetS risk.

methodsParticipants (N = 354; ages = 15-55 years, M [SD] = 36.5 [10.7] years; 55% female; 72.9% white, 16.9% Asian, 10.2% others) were evaluated for SES and MetS. All were in good health, defined as free of chronic medical illness and acute infectious disease. Using occupational status as a proxy for SES, we recruited roughly equal numbers of participants with low-low, low-high, high-low, and high-high combinations of early-life and current SES. We used the International Diabetes Federation definition for MetS using race- and sex-specific cutoffs for waist circumference, triglyceride levels, high-density lipoprotein cholesterol, blood pressure, and glycosylated hemoglobin levels.

resultsAnalyses revealed a main effect of low early-life SES on increased MetS risk according to the three separate definitions. They included the traditional MetS diagnosis (odds ratio [OR] = 1.53, confidence interval [CI] = 1.01-2.33, p = .044), the number of MetS components for which diagnostic thresholds were met (OR = 1.61, CI = 1.10-2.38, p = .015), and a continuous indicator of metabolic risk based on factor analysis (F(1,350) = 6.71, p = .010, partial η = .019). There was also a significant interaction of early-life SES and current SES in predicting MetS diagnosis (OR = 1.54, CI = 1.02-2.34). The main effects of current SES were nonsignificant in all analyses.

conclusionsThese findings suggest that MetS health disparities originate in childhood, which may be an opportune period for interventions.

Indexed as

Health Status DisparitiesSocial ClassAdolescentAdultFemaleHumansMaleMetabolic SyndromeMiddle AgedRiskYoung Adult

Identifiers

PMID28178032
PMCPMC5453844

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.