Evidence map›Paper›PMID 38748532›Full record

ArticleSchizophrenia bulletin2025

Physical Activity, Sleep, and Risk of Late-Onset Severe Mental Illness: A Prospective Cohort Study From UK Biobank.

Xiaowei Zheng, Minglan Jiang, Xiao Ren, Longyang Han, Pinni Yang, Yiming Jia, Lulu Sun, Ruirui Wang, Mengyao Shi, Zhengbao Zhu and 1 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

11 authors.

Xiaowei ZhengPublic Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Minglan JiangPublic Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Xiao RenPublic Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Longyang HanPublic Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Pinni YangDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Yiming JiaDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-3624-7879
Lulu SunDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Ruirui WangDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Mengyao ShiDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Zhengbao ZhuDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-4363-7357
Yonghong ZhangDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisPrevious studies have found that both physical inactivity and poor sleep are deleteriously associated with severe mental illness (SMI). The aim of current study was to investigate the joint association of physical activity (PA) and sleep with late-onset SMI (schizophrenia and bipolar disorder) risk. STUDY

designA total of 340 187 (for schizophrenia)/340 239 (for bipolar disorder) participants without schizophrenia or bipolar disorder from the UK Biobank were included. Baseline PA levels were categorized as high, intermediate, and low according to the total volume of PA. Sleep was categorized into healthy, intermediate, and poor according to an established composited sleep score of chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. We derived 9 PA-sleep combinations, accordingly. STUDY

resultsAfter an average follow-up of 13.2 years, 814 participants experienced schizophrenia and 846 participants experienced bipolar disorder. Both low PA level, intermediate, and poor sleep were independently associated with increased risk of SMI. PA level and sleep had additive and multiplicative interactions on SMI risk. Compared to those with high PA level and healthy sleep, individuals with low PA and poor sleep had the highest risk of SMI (hazard ratio: 1.95; 95% CI: 1.02-3.70, P < .001) for schizophrenia; (hazard ratio: 3.81; 95% CI: 2.35-6.15) for bipolar disorder. A higher PA level may attenuate the detrimental effects of poor sleep.

conclusionBoth low PA and poor sleep was associated with increasing risk of late-onset SMI. Those with low PA and poor sleep had the highest risk of late-onset SMI, suggesting likely synergistic effects. Our findings supported the need to target both PA and sleep behaviors in research and clinical practice.

Indexed as

Bipolar DisorderExerciseSchizophreniaSleep Wake DisordersAdultAgedAge of OnsetBiological Specimen BanksFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesUK BiobankUnited Kingdombipolar disorderphysical activityschizophreniasleepUK Biobank

Identifiers

PMID38748532
PMCPMC11908869

What OpenQuestion holds

Textmetadata
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.