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.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.