Evidence map›Paper›PMID 40667491›Full record

ReviewGeneral psychiatry2025

An effective short form of the 20-item University of California Los Angeles Loneliness Scale version 3: item response theory and network psychometrics.

Jinyuan Liu, Ming Chen, Hao Wu, Hanchang Cai, Shengjia Tu, Ellen Lee, Xinlian Zhang

Abstract readReview
In one paragraph

Review in General psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jinyuan LiuDepartment of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-6689-8245
Ming ChenUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Hao WuDepartment of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0009-6170-8815
Hanchang CaiDivision of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA.ORCID https://orcid.org/0009-0003-7340-7901
Shengjia TuDivision of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA.
Ellen LeeDivision of Geriatric Psychiatry, UC San Diego, San Diego, California, USA.
Xinlian ZhangDivision of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, San Diego, California, USA.ORCID https://orcid.org/0000-0002-0913-1205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loneliness is a complex and usually unpleasant emotional response to isolation, which has been considered the latest global health epidemic exacerbated by the coronavirus disease 2019 pandemic, affecting nearly two-thirds of older adults. Some profound health implications carried by loneliness include depression, cognitive impairment, hypertension and frailty. Across the world, there is no consensus definition of loneliness, and its measure is based on the phenomenological perspective of the individual. The 20-item University of California Los Angeles Loneliness Scale version 3 (UCLA-20) is the most common measure. This scale demonstrates acceptable psychometric properties but is too long and complex for a phone interview. This paper addresses the increasing need to shorten this scale by adopting classical item response theory and network psychometrics to advance scale development. Through an item reduction analysis, we trimmed the original scale into an effective short form, which is as valid as the original one. With respondents' time at a premium in most research nowadays, this short-form scale is an efficient and practical alternative to the original UCLA-20.

Indexed as

PsychometricsSocial IsolationSurveys and Questionnaires

Identifiers

PMID40667491
PMCPMC12258266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.