Evidence map›Paper›PMID 39903094›Full record

ArticleLongitudinal and life course studies : international journal2024

The effect of childhood socioeconomic status on adult self-rated health by age and race.

Emily C Dore, Regine Haardörfer

Abstract read
In one paragraph

Article in Longitudinal and life course studies : international journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Emily C DoreEmory University, USA.
Regine HaardörferEmory University, USA.

Funding

The Long-Term Effects of Welfare Reform on Life Course HealthF31MD017935 · NIMHD · EMORY UNIVERSITY · PI DORE, EMILY CATHERINE · 2022 to 2023
$93k
NIMHD NIH HHS F31 MD017935
6 · The paper itself

Abstract

Background: The relationship between childhood socioeconomic status (SES) and adult health is well established. This article examines the less well-known areas of this research: whether the age of childhood exposure matters, if mediators differ based on age, and if these relationships vary by racialised group. Methods: We used multi-group path analysis and data from the Panel Study of Income Dynamics to analyse direct and indirect relationships between a retrospective measure of childhood SES in early, middle and late childhood, and adult self-rated health for non-Hispanic Black and White individuals. Results: Childhood SES affected adult health indirectly through each of the three mediators: education, distress and health behaviours, but only for non-Hispanic Whites. In addition, early and middle childhood SES (0-5 and 6-12 years old, respectively) impacted late childhood SES (13-16 years old), suggesting the importance of cumulative exposure. We found no evidence that childhood SES impacted any of the mediators or adult self-rated health for the non-Hispanic Black sample. Conclusion: The findings support the assertion that timing of poverty and possibly increased exposure matter for non-Hispanic Whites, but we found no support for the impact of childhood SES on adult self-rated health for the non-Hispanic Black sample. This study shows the importance of stratifying life course analyses by race and particular periods during childhood, suggesting the need for more targeted interventions based on these factors.

Indexed as

Health StatusSocial ClassAdolescentAdultAgedAge FactorsBlack or African AmericanChildChild, PreschoolFemaleHealth BehaviorHumansInfantLongitudinal StudiesMaleMiddle Agedhealth disparitieslife coursesocioeconomic statusstructural equation modelling

Identifiers

PMID39903094
PMCPMC12977013

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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.