Evidence map›Paper›PMID 35248075›Full record

ArticleHealth and quality of life outcomes2022

Psychometric assessment of scales for measuring loneliness and social isolation: an analysis of the household, income and labour dynamics in Australia (HILDA) survey.

Karine E Manera, Ben J Smith, Katherine B Owen, Philayrath Phongsavan, Michelle H Lim

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In one paragraph

Article in Health and quality of life outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. The less lonely and the more satisfied you are, the merrier is … the heart!European heart journal. Quality of care & clinical outcomes · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Karine E ManeraSydney School of Public Health, Prevention Research Collaboration, Charles Perkins Centre, The University of Sydney, Research and Education Network, Western Sydney Local Health District, Westmead Hospital, Corner Darcy & Hawkesbury Roads, Westmead, NSW, 2145, Australia. karine.manera@sydney.edu.au.ORCID http://orcid.org/0000-0002-0552-6074
Ben J SmithSydney School of Public Health, Prevention Research Collaboration, Charles Perkins Centre, The University of Sydney, Research and Education Network, Western Sydney Local Health District, Westmead Hospital, Corner Darcy & Hawkesbury Roads, Westmead, NSW, 2145, Australia.
Katherine B OwenSydney School of Public Health, Prevention Research Collaboration, Charles Perkins Centre, The University of Sydney, Research and Education Network, Western Sydney Local Health District, Westmead Hospital, Corner Darcy & Hawkesbury Roads, Westmead, NSW, 2145, Australia.
Philayrath PhongsavanSydney School of Public Health, Prevention Research Collaboration, Charles Perkins Centre, The University of Sydney, Research and Education Network, Western Sydney Local Health District, Westmead Hospital, Corner Darcy & Hawkesbury Roads, Westmead, NSW, 2145, Australia.
Michelle H LimIverson Health Innovation Institute, Swinburne University of Technology, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness and social isolation are increasingly recognised as global public health threats, meaning that reliable and valid measures are needed to monitor these conditions at a population level. We aimed to determine if robust and practical scales could be derived for conditions such as loneliness and social isolation using items from a national survey.

methodsWe conducted psychometric analyses of ten items in two waves of the Household, Income and Labour Dynamics in Australia Survey, which included over 15,000 participants. We used the Hull method, exploratory structural equation modelling, and multidimensional item response theory analysis in a calibration sample to determine the number of factors and items within each factor. We cross-validated the factor structure using confirmatory factor analysis in a validation sample. We assessed construct validity by comparing the resulting sub-scales with measures for psychological distress and mental well-being.

resultsCalibration and cross-validation consistently revealed a three-factor model, with sub-scales reflecting constructs of loneliness and social isolation. Sub-scales showed high reliability and measurement invariance across waves, gender, and age. Construct validity was supported by significant correlations between the sub-scales and measures of psychological distress and mental health. Individuals who met threshold criteria for loneliness and social isolation had consistently greater odds of being psychologically distressed and having poor mental health than those who did not.

conclusionsThese derived scales provide robust and practical measures of loneliness and social isolation for population-based research.

Indexed as

LonelinessQuality of LifeHumansPsychometricsReproducibility of ResultsSocial IsolationFactor analysisLonelinessReliabilitySocial isolationStructural equation modelling

Identifiers

PMID35248075
PMCPMC8897757

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.