Joint trajectories of sleep duration and depressive symptoms and risk of incident multimorbidity: a longitudinal analysis with machine learning prediction
Jiecheng Jiang, Zhujiang Li, Zhuo Zhang, Shiyu Ji, Zefeng Zhang, Yixuan Wu, Yaqi Li, Mingyu Yu, Peipei Qiao, Junxiang Xu, Jun Wang, Panpan Huang · 2026
Read Joint trajectories of sleep duration and depressive symptoms and risk of incident multimorbidity: a longitudinal analysis with machine learning prediction by Jiecheng Jiang, Zhujiang Li, Zhuo Zhang, Shiyu Ji, Zefeng Zhang, Yixuan Wu, Yaqi Li, Mingyu Yu, Peipei Qiao, Junxiang Xu, Jun Wang, Panpan Huang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13411102.txt.
Description
Jiecheng Jiang and colleagues followed 3221 older Chinese adults from 2011 to 2018 to see how sleep and low mood travel together and what illness follows. Most earlier work froze both at one visit, so the team grouped repeated measures into four joint paths, from steady sleep with low mood to shrinking sleep with rising low mood.
The shrinking-sleep and rising-mood group faced the highest later risks, including memory disorders, stroke, and having several chronic diseases at once. Machine learning models also flagged who was likeliest to land on that risky path, giving prevention work an early target group to watch.
Catalog record
| CREATOR | Jiecheng Jiang, Zhujiang Li, Zhuo Zhang, Shiyu Ji, Zefeng Zhang, Yixuan Wu, Yaqi Li, Mingyu Yu, Peipei Qiao, Junxiang Xu, Jun Wang, Panpan Huang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |