Evidence map›Paper›PMID 35952386›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2022

Intergenerational Social Mobility and Health in Later Life: Diagonal Reference Models Applied to the Lothian Birth Cohort 1936.

Matthew H Iveson, Simon R Cox, Ian J Deary

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Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Lessons we learned from the Lothian Birth Cohorts of 1921 and 1936.Genomic psychiatry : advancing science from genes to society · 2025
    Article
4 · The record

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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

3 authors.

Matthew H IvesonCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7242-0456
Simon R CoxLothian Birth Cohorts, The University of Edinburgh, Edinburgh, UK.
Ian J DearyLothian Birth Cohorts, The University of Edinburgh, Edinburgh, UK.

Funding

Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M01311/1Medical Research Council MR/R024065/1Medical Research Council MR/W014386/1Medical Research Council Mental Health Data Pathfinder MRC-MC_PC_17209NIA NIH HHS R01 AG054628NIH HHS R01AG054628Wellcome TrustWellcome Trust 221890/Z/20/Z
6 · The paper itself

Abstract

objectiveAlthough commonly used to model associations between intergenerational social mobility and health, linear regression cannot estimate the contributions of origin, destination, and mobility independently. Nonlinear diagonal reference models (DRMs) have become a popular alternative and have been applied to various health outcomes, though few studies examine the impact of social mobility on later-life health.

methodsThis study revisits health outcomes examined in the Lothian Birth Cohort 1936, using DRMs to assess the association between intergenerational social mobility and satisfaction with life, self-rated health, depression, and mortality from age 68-82 years.

resultsAfter adjusting for sex, age, education, and childhood cognitive ability, there was no evidence of an association between intergenerational social mobility and later-life health; participants experiencing upward or downward mobility had similar odds of poor health outcomes as non-mobile participants. However, those from higher occupational social classes exhibited lower odds of mortality (p = .01), with a stronger contribution of adult (own) than of childhood (father's) social class (weights = 0.75 vs. 0.25). No other outcomes demonstrated significant associations with socioeconomic position. DISCUSSION: This adds to evidence that social mobility does not influence variation in later-life health once other factors-including socioeconomic origins and destinations-are accounted for.

Indexed as

Birth CohortSocial MobilityAgedAged, 80 and overEducational StatusHumansPersonal SatisfactionSocial ClassDiagonal reference modelHealthSESSocial mobility

Identifiers

PMID35952386
PMCPMC9799199

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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.