Evidence map›Paper›PMID 41366418›Full record

ArticleBMC medicine2025

Social isolation, loneliness, and multi-system medical conditions: phenome-wide association and disease-trajectory analyses.

Tingshan Duan, Zhi Cao, Xuemei Wang, Tao Sun, Yaogang Wang, Chenjie Xu

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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

6 authors.

Tingshan Duan *School of Public Administration, Hangzhou Normal University, No. 2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Zhi Cao *Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xuemei WangSchool of Public Administration, Hangzhou Normal University, No. 2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Tao SunSchool of Public Administration, Hangzhou Normal University, No. 2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China.
Yaogang WangSchool of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chenjie XuSchool of Public Administration, Hangzhou Normal University, No. 2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China. xuchenjie@hznu.edu.cn.

Funding

National Natural Science Foundation of China 72204071National Natural Science Foundation of China 72342017Scientific Research Foundation for Scholars of Hangzhou Normal University 4265C50221204119Zhejiang Provincial Natural Science Foundation of China LY23G030005
6 · The paper itself

Abstract

backgroundSocial isolation and loneliness have emerged as important modifiable risk factors for mental disorders, posing significant public health challenges. However, they have not been comprehensively investigated in relation to multisystemic diseases and their temporal trajectories. We aimed to systematically identify the health outcomes associated with social isolation and loneliness and characterize their disease trajectories and comorbidity networks.

methodsA total of 466,547 participants (mean age: 56.5 ± 8.1, 54.6% females) with available information on social isolation and loneliness were included from the UK Biobank between 2006 and 2010 and followed up until 2022. Social isolation was measured using a composite score derived from three questions on number in household, frequency of friend and family visits, as well as participating in leisure and social activities. Loneliness was assessed by the subjective perception of feeling lonely and the willingness to confide in others. A total of 246 medical conditions were included in phenome-wide association analyses. Disease trajectory and comorbidity network analyses were performed to identify sequential patterns and visualize disease clusters.

resultsDuring an average medium follow-up of 11.7 years, social isolation was found to be significantly associated with increased risks of 28 medical conditions, and loneliness with 80. The strongest association for both exposures was with personality disorders, with respective hazard ratios of 2.12 (95% CI, 1.59-2.82) for social isolation and 2.62 (95% CI, 1.90-3.61) for loneliness. The conditions covered a broad spectrum, including respiratory, neurological, digestive, musculoskeletal, and genitourinary diseases and mental disorders. Three main disease clusters were identified in relation to social isolation and eight disease clusters were related to loneliness. Septicemia and alcohol-related disorders as the initial condition was notably observed in the disease cluster trajectories of both social isolation and loneliness. Subsequently, the comorbidity network revealed three and five distinct comorbidity modules associated with social isolation and loneliness, respectively. The disease nodes within these modules exhibited structural consistency with those within the disease trajectory clusters.

conclusionsThese findings highlight the importance of integrating screening, interventions, and referrals for social isolation and loneliness into health care system to prevent the adverse health conditions.

Indexed as

LonelinessSocial IsolationAdultAgedComorbidityFemaleHumansMaleMiddle AgedRisk FactorsUnited KingdomDisease clusterDisease trajectoryLonelinessNetwork analysisSocial isolation

Identifiers

PMID41366418
PMCPMC12801555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.