Evidence map›Paper›PMID 38264197›Full record

ArticleSSM - population health2024

Intra-generational social mobility and mortality among older men in the Concord Health and Ageing in Men Project: A cohort study.

Minh-Hoang Tran, Anita van Zwieten, Kim M Kiely, Fiona M Blyth, Vasi Naganathan, David G Le Couteur, David J Handelsman, Markus J Seibel, Louise M Waite, Robert G Cumming and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Minh-Hoang TranSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Anita van ZwietenSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Kim M KielyAgeing Futures Institute, University of New South Wales (UNSW), Sydney, (NSW), Australia.
Fiona M BlythSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Vasi NaganathanConcord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
David G Le CouteurConcord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
David J HandelsmanANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia.
Markus J SeibelANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia.
Louise M WaiteConcord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
Robert G CummingSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Saman Khalatbari-SoltaniSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We examined associations between intra-generational social mobility (reflected in life-course socioeconomic trajectories) and mortality, among older men. Methods: Data came from a prospective Australian community-based cohort of older men. Social mobility was defined by socioeconomic indicators from three points in the life-course: educational attainment (late adolescence-early adulthood), occupation (mid-life), and current sources of income (older age). We defined indicators of social mobility trajectory (6 categories; reflecting the direction of social mobility) and social mobility status (2 categories; mobile or non-mobile). We used Cox regression to examine associations with mortality, adjusting for age, country of birth, and living arrangement. Results: We followed 1568 men (mean age 76.8, SD 5.4) for a mean duration of 9.1 years, with 797 deaths recorded. Moving upward was the predominant social mobility trajectory (36.0%), followed by mixed trajectories (25.1%), downward (15.1%), stable low (12.2%), stable high (7.6%), and stable middle (4.0%). Men with downward (Hazard ratio 1.58, 95% CI 1.13 to 2.19) and stable low socioeconomic trajectories (1.77, 1.25 to 2.50) had higher mortality risks than men with stable high socioeconomic trajectories, while men with upward trajectories had similar risks to those with stable high trajectories. 76.2% of the participants were classified as having mobile status; no associations were evident between binary social mobility status and mortality. Discussions: These findings suggest cumulative and persistent exposure to disadvantaged socioeconomic conditions across the life-course, rather than social mobility, is associated with increased mortality. For each stage of the life-course, addressing socioeconomic disadvantage may reduce inequities in mortality.

Indexed as

Intra-generationalLife-courseMortalityOlder adultsSocial mobilitySocioeconomic position

Identifiers

PMID38264197
PMCPMC10803938

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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.