Evidence map›Paper›PMID 41782039›Full record

ArticleArthritis research & therapy2026

Sleep quality, duration, and multi-trajectories as predictors of rheumatoid arthritis: evidence from the english longitudinal study of ageing.

Zeping Chen, Wei Zhao, Dong Yang, Rui Xie

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Article in Arthritis research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zeping Chen *Department of Tuina, Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, China.
Wei Zhao *Department of Tuina, Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, China.
Dong YangChengdu University of Traditional Chinese Medicine, Chengdu, China.
Rui XieDepartment of Tuina, Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, China. xierui@cdutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a prevalent chronic autoimmune disease associated with substantial disability as well as socioeconomic burden. Emerging evidence suggests that sleep disturbances may increase RA risk, yet the roles of sleep quality, sleep duration, as well as their long-term patterns remain unclear. Depression—a key psychoneuroimmunological factor—may mediate this association. The research aimed to explore the relationships of sleep quality (SQ), sleep duration (SD) and incident RA, as well as to explore the mediating role of depressive symptoms as well as the effects of long-term sleep trajectories.

methodsData were obtained from the English Longitudinal Study of Ageing (ELSA), including adults free of RA at baseline. Cox proportional hazards models were employed to estimate the connection of SQ and SD with incident RA, adjusting for demographic, lifestyle, and health-related factors. Mediation analysis quantified the indirect effects of depressive symptoms. Group-based multi-trajectory modeling (GBMTM) was further applied to identify joint trajectories of SQ and SD and assess their connection with RA risk.

resultsDuring follow-up, 607 participants developed RA. Compared with those reporting good SQ, individuals with moderate (HR = 1.23, 95% CI: 1.02–1.48) or poor (HR = 1.50, 95% CI: 1.20–1.87) SQ had a significantly higher risk of RA. A linear connection was observed between shorter SD and increased RA risk, with each 1-hour reduction in sleep related with approximately 7% higher risk (HR = 1.07, 95% CI: 1.01–1.17). Depression partially mediated the associations between SQ, SD, and RA risk, accounting for about 40% and 44% of the total effects, respectively. GBMTM identified three distinct sleep trajectory groups, with the “persistently poor-quality/short-sleep” trajectory showing the highest RA risk (OR = 1.70, 95% CI: 1.11–2.56).

conclusionPoor SQ and shorter SD are independently related with an elevated risk of RA among middle-aged and older adults, partly mediated by depression. Persistent adverse sleep patterns confer cumulative risk, highlighting the potential of sleep and mood management as modifiable targets for primary prevention of RA.

Indexed as

AgingArthritis, RheumatoidSleep QualitySleep Wake DisordersAgedDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSleep DurationDepressionRheumatoid arthritisSleep durationSleep qualitySleep trajectories

Identifiers

PMID41782039
PMCPMC13067540

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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.