Evidence map›Paper›PMID 33028353›Full record

ArticleInternational journal for equity in health2020

Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study.

Saman Khalatbari-Soltani, Fiona Stanaway, Erin Cvejic, Fiona M Blyth, Vasi Naganathan, David J Handelsman, David G Le Couteur, Markus J Seibel, Louise M Waite, Robert G Cumming

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2020. 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
1.0field-weighted citation impact, top 18% of its field
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, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 1 institution in 1 country.

Saman Khalatbari-SoltaniThe University of Sydney School of Public Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia. saman.khalatbarisoltani@sydney.edu.au.ORCID 0000-0001-8437-1906
Fiona StanawayThe University of Sydney School of Public Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Erin CvejicThe University of Sydney School of Public Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Fiona M BlythThe University of Sydney School of Public Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Vasi NaganathanConcord Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
David J HandelsmanANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia.
David G Le CouteurCentre for Education and Research on Ageing, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, 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, Sydney, New South Wales, Australia.
Robert G CummingThe University of Sydney School of Public Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia. robert.cumming@sydney.edu.au.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong older people, the extent to which psychosocial factors explain socioeconomic inequalities in mortality is debated. We aimed to investigate the potential mediating effect of psychosocial factors on socioeconomic inequalities in mortality.

methodsWe used data from a prospective population-based cohort (the Concord Health and Ageing in Men Project; baseline recruitment in 2005-2007), in Sydney, Australia. The main outcomes were all-cause and cause-specific mortality. Socioeconomic status (SES; educational attainment, occupational position, source of income, housing tenure, and a cumulative SES score) was assessed at baseline. Measures of structural and functional social support, as well as depressive and anxiety symptoms were assessed three times during follow-ups. Associations were quantified using Cox regression. Mediation was calculated using "change-in-estimate method".

results1522 men (mean age at baseline: 77·4 ± 5·5 years) were included in the analyses with a mean (SD) follow-up time of 9·0 (3·6) years for all-cause and 8·0 (2·8) years for cause-specific mortality. At baseline, psychosocial measures displayed marked social patterning. Being unmarried, living alone, low social interactions, and elevated depressive symptoms were associated with higher risk of all-cause and cardiovascular disease (CVD) mortality. Psychosocial factors explained 35% of SES inequalities in all-cause mortality, 29% in CVD mortality, 12% in cancer mortality, and 39% in non-CVD, non-cancer mortality.

conclusionPsychosocial factors may account for up to one-third of SES inequalities in deaths from all and specific causes (except cancer mortality). Our findings suggest that interventional studies targeting social relationships and/or psychological distress in older men aiming to reduce socioeconomic inequalities in mortality are warranted.

Indexed as

Health Status DisparitiesAgedAged, 80 and overAustraliaHumansMaleMortalityProspective StudiesPsychologySocioeconomic FactorsMortalityOlder adultsPsychological, distressPsychosocial factorsSocial supportSocioeconomic status

Identifiers

PMID33028353
PMCPMC7539396
OpenAlexW3092530276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.