Evidence map›Paper›PMID 42698474›Full record

ArticleFrontiers in public health2026

Latent profile analysis and determinants of social isolation among older adults in China.

Xiaoxing Lai, Zhiyuan Zhang, Yonghua Cai, Yang Li, Rui Sun, Shuai Zhang, Kexin Zhang, Hongdi Du, Shuxian Li, Jingwei Hao and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xiaoxing LaiDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhiyuan ZhangDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yonghua CaiDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yang LiDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Rui SunDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shuai ZhangDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kexin ZhangDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongdi DuDepartment of Healthcare, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shuxian LiDepartment of Healthcare, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jingwei HaoDepartment of Healthcare, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaopeng HuoDepartment of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify social isolation profiles among older adults in China using latent profile analysis and to explore their associations with demographic and health factors. Methods: A cross-sectional study was conducted between July and December 2023 in the Chaoyang and Dongcheng districts of Beijing, China. Participants aged 60 years or older were recruited through convenience sampling from six communities. Latent profile analysis was used to classify social isolation patterns, and multivariate logistic regression models to assess associated factors. Results: 529 participants were included. Three social isolation profiles were identified: the mild social isolation subgroup ( Conclusion: Older adults living alone without caregiver, with frailty, and with functional dependence are at significantly higher risk of severe social isolation. Family network integrity emerged as the primary dimension differentiating severe social isolation from mild-to-moderate isolation, which may be linked to a quantitative gradient of overall network restriction. Understanding the specific factors contributing to different profiles could inform tailored support strategies to enhance social engagement and quality of life in this population.

Indexed as

Social IsolationActivities of Daily LivingAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle Ageddeterminantsfrailtylatent profile analysisolder adultssocial isolation

Identifiers

PMID42698474
PMCPMC13541482

What OpenQuestion holds

Textmetadata
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.