Evidence map›Paper›PMID 28185560›Full record

ArticleBMC public health2016

Inequalities in socio-economic characteristics and health and wellbeing of men with and without disabilities: a cross-sectional analysis of the baseline wave of the Australian Longitudinal Study on Male Health.

Anne M Kavanagh, Zoe Aitken, Eric Emerson, Sash Sahabandu, Allison Milner, Rebecca Bentley, Anthony D LaMontagne, Jane Pirkis, David Studdert

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  6. Social Needs Screening Tools for Clinical Populations in Australia and New Zealand: A Scoping Review and Critical Analysis.Health expectations : an international journal of public participation in health care and health policy · 2026
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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

9 authors.

Anne M KavanaghCentre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia. a.kavanagh@unimelb.edu.au.
Zoe AitkenCentre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
Eric EmersonCentre for Disability Research and Policy, Faculty of Health Sciences, University of Sydney, Lidcombe, 2141, Australia.
Sash SahabanduCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
Allison MilnerCentre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
Rebecca BentleyCentre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
Anthony D LaMontagneCentre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
Jane PirkisCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.
David StuddertCentre for Health Policy/PCOR, Stanford University School of Medicine, Stanford, 94305, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternationally, men with disabilities have higher rates of social and economic disadvantage and poorer health and wellbeing than men without disabilities. No single study has provided comprehensive, population-level information about the magnitude of such differences among adult men using a well-validated instrument to measure disability.

methodsWe analysed baseline data from Ten to Men - an Australian longitudinal study of male health. Ten to Men used a stratified multi-stage cluster random sample design to recruit a national sample of males aged 10 to 55 years residing in private dwellings. Data were collected between October 2013 and July 2014 from 15,988 males. This analysis was restricted to 18-55 year old participants with data available on age and disability (n = 13,569). We compared the demographic, socio-economic characteristics and health and wellbeing of men with and without disabilities using chi squared tests for proportions and t tests for continuous variables. Linear regression adjusted for age was used to assess the association between disability status and health and wellbeing, which were measured using the SF-12 mental and physical health component scores and the Personal Wellbeing Index.

resultsMen with disabilities were older and more likely to be born in Australia, speak English at home, be Aboriginal and Torres Strait Islander and were less likely to be married or de facto, or to live in urban areas. They were less likely to have completed secondary school, be employed and live in affordable housing, and were more likely to live on low incomes, in more socio-economically disadvantaged areas, and in rental accommodation and to experience shortages of money. Among employed men, those with disabilities were less likely to be in high skilled jobs, worked less hours on average, and were more likely to report that they would prefer to work more. Men with disabilities had lower levels of social support and community participation and poorer mental and physical health and overall wellbeing.

conclusionAdult men with disabilities experience marked social and economic disadvantage and poorer health and wellbeing. Improving the health and wellbeing of disabled men should be a priority for public health researchers and policy-makers.

Indexed as

Health Status DisparitiesMen's HealthPersons with DisabilitiesPovertyAdolescentAdultAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesCross-Sectional StudiesHousingHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsVulnerable Populations

Identifiers

PMID28185560
PMCPMC5103237

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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.