Evidence map›Paper›PMID 39881351›Full record

ArticleCritical care (London, England)2025

Association of healthy sleep patterns with incident sepsis: a large population-based prospective cohort study.

Meina Zou, Di Lu, Zhexin Luo, Ninghao Huang, Wenxiu Wang, Zhenhuang Zhuang, Zimin Song, Wendi Xiao, Tao Huang, Renyu Ding

Abstract read
In one paragraph

Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

10 authors.

Meina Zou *Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Di Lu *Department of Neurology, The First People's Hospital of Shenyang, Shenyang, China.
Zhexin LuoDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Ninghao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenxiu WangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhenhuang ZhuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Zimin SongDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Wendi XiaoDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Tao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China. huang.tao@pku.edu.cn.
Renyu DingDepartment of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, China. renyuding@126.com.

Funding

the National Natural Science Foundation of China 82172174the National Natural Science Foundation of China 82173499the Sci-Tech Innovation 2030 Agenda 2023ZD0508600
6 · The paper itself

Abstract

backgroundThe role that sleep patterns play in sepsis risk remains poorly understood.

objectivesThe objective was to evaluate the association between various sleep behaviours and the incidence of sepsis.

methodsIn this prospective cohort study, we analysed data from the UK Biobank (UKB). A total of 409,570 participants who were free of sepsis at baseline were included. We used a composite sleep score that considered the following five sleep behaviours: sleep chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. Cox proportional hazards regression analysis was used to estimate the associations between healthy sleep scores and incident sepsis.

resultsDuring a mean follow-up of 13.54 years, 13,357 (3.26%) incident sepsis cases were recorded. Among the 409,570 participants with a mean age of 56.47 years, 184,124 (44.96%) were male; 9942 (2.43%) reported 0 to 1 of the five healthy sleep behaviours; 46,270 (11.30%) reported 2 behaviours; 115,272 (28.14%) reported 3 behaviours; 150,522 (36.75%) reported 4 behaviours; and 87,564 (21.38%) reported 5 behaviours at baseline. Each one-point increase in the sleep score was associated with a 5% lower risk of developing sepsis (hazard ratio (HR), 0.95; 95% confidence interval (CI), 0.93-0.97). Compared with a healthy sleep score of 0-1, for a sleep score of 5, the multivariate-adjusted HR (95% CI) for sepsis was 0.76 (0.69-0.83). In addition, we found that the negative correlation was stronger in participants who were aged < 60 years than in their older counterparts (p for interaction < 0.001). However, healthy sleep pattern was not associated with sepsis-related death and critical care admission.

conclusionsFindings from this cohort study suggest that a healthy sleep pattern may reduce the risk of developing sepsis, particularly among younger individuals.

Indexed as

SepsisSleepAdultAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUnited KingdomCohort studySepsisSleep patternUK Biobank

Identifiers

PMID39881351
PMCPMC11776304

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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.