Evidence map›Paper›PMID 33710274›Full record

ArticleAmerican journal of epidemiology2021

A Changing Landscape of Health Opportunity in the United States: Increases in the Strength of Association Between Childhood Socioeconomic Disadvantage and Adult Health Between the 1990s and the 2010s.

Thomas E Fuller-Rowell, Olivia I Nichols, Markus Jokela, Eric S Kim, Elif Dede Yildirim, Carol D Ryff

Abstract readComparative Study
In one paragraph

Article in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Thomas E Fuller-Rowell
Olivia I Nichols
Markus Jokela
Eric S Kim
Elif Dede Yildirim
Carol D Ryff

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
NIA NIH HHS P01 AG020166NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Understanding the changing health consequences of childhood socioeconomic disadvantage (SED) is highly relevant to policy debates on inequality and national and state goals to improve population health. However, changes in the strength of association between childhood SED and adult health over historic time are largely unexamined in the United States. The present study begins to address this knowledge gap. Data were from 2 national samples of adults collected in 1995 (n = 7,108) and 2012 (n = 3,577) as part of the Midlife in the United States study. Three measures of childhood SED (parents' occupational prestige, childhood poverty exposure, and parents' education) were combined into an aggregate index and examined separately. The association between childhood SED (aggregate index) and 5 health outcomes (body mass index, waist circumference, chronic conditions, functional limitations, and self-rated health) was stronger in the 2012 sample than the 1995 sample, with the magnitude of associations being approximately twice as large in the more recent sample. Results persisted after adjusting for age, sex, race, marital status, and number of children, and were similar across all 3 measures of childhood SED. The findings suggest that the socioeconomic circumstances of childhood might have become a stronger predictor of adult health in recent decades.

Indexed as

Health StatusSocioeconomic FactorsVulnerable PopulationsAdultChildEpidemiologic FactorsHumanschildhood socioeconomic statushealth disparitiessecular trendssocial epidemiologysocial stratification

Identifiers

PMID33710274
PMCPMC8799901

What OpenQuestion holds

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Registered trials

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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.