Evidence map›Paper›PMID 24818953›Full record

ArticleJournal of health and social behavior2014

Early-Life Socioeconomic Status and Mortality at Three Life Course Stages: An Increasing Within-Cohort Inequality.

Tetyana Pudrovska

Abstract read
In one paragraph

Article in Journal of health and social behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Family and neighborhood environments in adolescence and subsequent mortality.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  6. Lead exposure across the life course and age at death.The Science of the total environment · 2024
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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

1 author.

Tetyana PudrovskaUniversity of Texas, Austin, TX, USA tpudrovs@gmail.com.

Funding

WISCONSIN LONGITUDINAL STUDY--SIBLING INTERVIEWS (1)R01AG009775 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HERD, PAMELA · 1991 to 2012
$23.4M
WORK, HEALTH, AND WELL-BEINGP01AG021079 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CARR, DEBORAH S. · 2002 to 2011
$14.2M
Childhood Socioeconomic Status and Late-Life Mortality: Sex and Race DifferencesR03AG040037 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI PUDROVSKA, TETYANA · 2011 to 2012
$122k
NIA NIH HHS P01 AG021079NIA NIH HHS R01 AG009775NIA NIH HHS R03 AG040037
6 · The paper itself

Abstract

Using the 1957-2011 data from 10,317 participants in the Wisconsin Longitudinal Study, I examine how socioeconomic status (SES) at age 18 affects all-cause mortality between ages 18 and 72. Integrating fundamental cause theory, gender relations theory, and a life course perspective, I evaluate the cumulative advantage (CA) and age-as-leveler processes as well as gender differences in these processes. Findings indicate that higher early-life SES at age 18 is related to lower mortality over the life course, and the effect of early-life SES is not explained by socioeconomic achievement and health behaviors in adulthood. Consistent with the CA model, early-life SES generates increasing within-cohort inequality with age, and this CA process is stronger for women than men. Results also show that unequal selection by SES obscures the CA process and creates an illusion of the age-as-leveler process. This study calls for a lifelong gendered approach to socioeconomic health disparities.

Indexed as

early lifefundamental causegenderhealth behaviorslife coursemortalitysocioeconomic status

Identifiers

PMID24818953
PMCPMC7416735

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.