Evidence map›Paper›PMID 38413942›Full record

ArticleBMC public health2024

Disability-related inequalities in the prevalence of loneliness across the lifespan: trends from Australia, 2003 to 2020.

Glenda M Bishop, Gwynnyth Llewellyn, Anne M Kavanagh, Hannah Badland, Jodie Bailie, Roger Stancliffe, Eric Emerson, Nicola Fortune, Zoe Aitken

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Glenda M BishopMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia. glenda.bishop@unimelb.edu.au.ORCID 0000-0002-2736-0415
Gwynnyth LlewellynMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia.ORCID 0000-0002-2014-4330
Anne M KavanaghMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia.ORCID 0000-0002-1573-3464
Hannah BadlandSocial and Global Studies Centre, RMIT University, Melbourne, VIC, 3000, Australia.ORCID 0000-0002-8936-2715
Jodie BailieCentre for Disability Research and Policy, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0003-4393-5773
Roger StancliffeCentre for Disability Research and Policy, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0003-4265-7433
Eric EmersonCentre for Disability Research and Policy, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0002-1776-6032
Nicola FortuneCentre for Disability Research and Policy, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0003-1489-5709
Zoe AitkenMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia.ORCID 0000-0002-5413-2450

Funding

Healthy Trajectories Child and Youth Disability Hub Seed Funding GrantNational Health and Medical Research Council 1116385
6 · The paper itself

Abstract

backgroundExperiencing loneliness can be distressing and increasing evidence indicates that being lonely is associated with poor physical and mental health outcomes. Cross-sectional studies have demonstrated that people with disability have increased risk of experiencing loneliness compared to people without disability. However, we do not know if these inequalities have changed over time. This study investigated the prevalence of loneliness for people with disability in Australia annually from 2003 to 2020 to examine whether disability-related inequalities in loneliness have changed over time, and disaggregated results for subgroups of people with disability by age group, sex, and disability group.

methodsWe used annual data (2003-2020) from the Household, Income and Labour Dynamics in Australia Survey. Loneliness was measured by a single question assessing the subjective experience of loneliness. For each wave, we calculated population-weighted age-standardised estimates of the proportion of people experiencing loneliness for people with and without disability. We then calculated the absolute and relative inequalities in loneliness between people with and without disability for each wave. Analyses were stratified by 10-year age groups, sex, and disability group (sensory or speech, physical, intellectual or learning, psychological, brain injury or stroke, other).

resultsFrom 2003 to 2020, the prevalence of loneliness was greater for people with disability, such that people with disability were 1.5 to 1.9 times more likely to experience loneliness than people without disability. While the prevalence of loneliness decreased for people without disability between 2003 and 2020, the prevalence of loneliness did not decrease for people with disability during this period. Inequalities in loneliness were more substantial for people with intellectual or learning disabilities, psychological disability, and brain injury or stroke.

conclusionThis study confirms that people with disability have increased risk of loneliness compared to people without disability. We add to the existing evidence by demonstrating that disability-related inequalities in loneliness have persisted for two decades in Australia without improvement. Our findings indicate that addressing inequalities in loneliness for people with disability is a critical public health concern given that loneliness is associated with a wide range of poor health outcomes.

Indexed as

Brain InjuriesPersons with DisabilitiesStrokeAustraliaCross-Sectional StudiesHumansLonelinessLongevityPrevalenceDisabilityInequalityLonelinessTime series

Identifiers

PMID38413942
PMCPMC10898179

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.