Evidence map›Paper›PMID 40148289›Full record

ArticleTranslational psychiatry2025

Healthy sleep patterns and risk of hospitalization for infection: a large community-based cohort study.

Hong-Min Li, Xi-Ru Zhang, Dan-Qing Liao, Jian Gao, Cheng-Shen Qiu, Wen-Fang Zhong, Xu-Lian Tang, Pei-Liang Chen, Li-Ying Du, Jin Yang and 9 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

19 authors.

Hong-Min Li *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xi-Ru Zhang *Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Dan-Qing Liao *Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jian GaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Cheng-Shen QiuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Wen-Fang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xu-Lian TangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Pei-Liang ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Li-Ying DuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jin YangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Shu-Min LaiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Qing-Mei HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xiao-Meng WangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Wei-Qi SongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Fang-Fei YouDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Chuan LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Dong ShenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China. maochen9@smu.edu.cn.ORCID http://orcid.org/0000-0002-6537-6215
Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China. zhihaoli2013@smu.edu.cn.ORCID http://orcid.org/0000-0002-1597-2676

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82204115
6 · The paper itself

Abstract

Sleep behaviours are potentially modifiable risk factors for infectious disease. However, little is known about the combined effects of multiple sleep factors on the risk of infections. We investigated the prospective associations of combined healthy sleep patterns with the risk of hospitalization for infection in 397,523 participants (mean (SD) age: 56.3 (8.1) years) from the UK Biobank. Healthy sleep patterns were defined by healthy sleep scores according to a combination of adequate sleep duration (7-8 h/day), early chronotype, no insomnia, and no excessive daytime sleepiness. During a median follow-up of 13.5 (interquartile range: 12.4-14.2) years, 60,377 cases of hospitalization for any infection were documented. A healthy sleep score was inversely associated with the risk of hospitalization for any infection and various infection subtypes in a dose-dependent manner (P for trend < 0.001). The associations between a one-point increment of healthy sleep score and hospitalization for infections ranged from a 9% lower risk for sepsis (HR = 0.91; 95% CI, 0.89-0.93) to a 20% lower risk for liver infection (HR = 0.80; 95% CI, 0.74-0.87). More than 10% of hospitalizations for any infection could have been prevented if all participants adhered to the four low-risk sleep behaviours. Adherence to a healthy sleep pattern was associated with a decreased risk of hospitalization for infections, especially for individuals <65 years of age and females (P for interaction < 0.00045). Our findings highlight the potential of sleep behaviour interventions for the primary prevention of infectious diseases.

Indexed as

HospitalizationInfectionsSleepAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited Kingdom

Identifiers

PMID40148289
PMCPMC11950331

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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.