Evidence map›Paper›PMID 42204334›Full record

Observational studyScientific reports2026

Association between loneliness trajectories and chronic diseases as well as chronic comorbidities among middle - aged and elderly chinese: based on the group - based trajectory modeling method.

Yihang Pang, Yongrong Jiang, Naiqian Sa, Ge Xu

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 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

4 authors.

Yihang PangDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yongrong JiangDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Naiqian SaDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ge XuDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China. xuggee123@163.com.

Funding

Guangxi Medical and Health Appropriate Technology and Promotion Application Project S2024053Guangxi Zhuang Autonomous Region Health Commission Self-Funded Scientific Research Project Z-A20230697Natural Science Foundation of Guangxi Zhuang Autonomous Region 2024JJA141354
6 · The paper itself

Abstract

This study aims to investigate the associations between loneliness trajectories and chronic diseases and chronic comorbidities among middle aged and elderly Chinese individuals. This study included 8,935 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study (2011-2020). Loneliness was assessed using a single item 4 point scale. Group based trajectory modeling (GBTM) was applied to identify loneliness trajectories, and logistic regression was used to examine their associations with chronic diseases and comorbidities. Three distinct loneliness trajectories were identified: low (45.55%), moderate (18.15%), and high (36.30%). In the core model, loneliness trajectories were significantly associated with hypertension, chronic pulmonary disease, heart disease, stroke, kidney disease, digestive diseases, mental and neurological disorders, memory-related diseases, arthritis/rheumatism, and asthma. For chronic comorbidities, compared with the high loneliness group, the moderate and low loneliness groups showed significantly lower risks with OR (95%CI) of 0.74 (0.65-0.83) and 0.58 (0.53-0.64), respectively. Results from the extended model were similar. Loneliness trajectories are significantly associated with multiple chronic diseases and chronic comorbidities in middle aged and elderly Chinese adults. These findings highlight the important role of loneliness as a psychosocial factor in chronic disease burden and support its integration into public health strategies for healthy aging.

Indexed as

Chronic DiseaseEast Asian PeopleLonelinessAgedChinaComorbidityFemaleHumansLongitudinal StudiesMaleMiddle AgedCHARLSChronic comorbiditiesChronic diseasesGroup based trajectory modelingLoneliness trajectories

Identifiers

PMID42204334
PMCPMC13443586

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.