Evidence map›Paper›PMID 36580475›Full record

ArticlePloS one2022

Are we measuring loneliness in the same way in men and women in the general population and in the older population? Two studies of measurement equivalence.

Thomas V Pollet, Alexandra Thompson, Connor Malcolm, Kristofor McCarty, Tamsin K Saxton, Sam G B Roberts

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Disconnection from social others: a RULS Loneliness Short Scale.Current issues in personality psychology · 2026
    Article
  3. Article
  4. Article
  5. How (Not) to Measure Loneliness: A Review of the Eight Most Commonly Used Scales.International journal of environmental research and public health · 2022
    Review
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

6 authors.

Thomas V PolletDept. of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-4210-935X
Alexandra ThompsonDept. of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Connor MalcolmDept. of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Kristofor McCartyDept. of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Tamsin K SaxtonDept. of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Sam G B RobertsDept. of Psychology, Liverpool John Moores University, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh levels of loneliness are associated with negative health outcomes and there are several different types of interventions targeted at reducing feelings of loneliness. It is therefore important to accurately measure loneliness. A key unresolved debate in the conceptualisation and measurement of loneliness is whether it has a unidimensional or multidimensional structure. The aim of this study was to examine the dimensional structure of the widely used UCLA Loneliness Scale and establish whether this factorial structure is equivalent in men and women. METHODS AND SAMPLE: Two online UK-based samples were recruited using Prolific. The participants in Study 1 were 492 adults, selected to be nationally representative by age and gender, whilst the participants in Study 2 were 290 older adults aged over 64. In both studies, participants completed the UCLA Loneliness Scale (Version 3) as part of a larger project.

resultsIn both studies, the best fitting model was one with three factors corresponding to 'Isolation,' 'Relational Connectedness,' and 'Collective Connectedness.' A unidimensional single factor model was a substantially worse fit in both studies. In both studies, there were no meaningful differences between men and women in any of the three factors, suggesting measurement invariance across genders.

conclusionThese results are consistent with previous research in supporting a multidimensional, three factor structure to the UCLA scale, rather than a unidimensional structure. Further, the measurement invariance across genders suggests that the UCLA scale can be used to compare levels of loneliness across men and women. Overall the results suggest that loneliness has different facets and thus future research should consider treating the UCLA loneliness scale as a multidimensional scale, or using other scales which are designed to measure the different aspects of loneliness.

Indexed as

EmotionsLonelinessAgedFemaleHumansMale

Identifiers

PMID36580475
PMCPMC9799294

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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.