Evidence map›Paper›PMID 42092838›Full record

ArticleBMC public health2026

The prevalence and associations of stroke history with self-reported sleep disturbances in China: a nationwide cross-sectional study.

Yuxiang Yang, Changzheng Yuan, Martin H de Borst, Kun Huang, Wei Piao, Shuya Cai, Mulei Chen, Fusheng Li, Jing Nan, Dongmei Yu and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuxiang YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.ORCID 0000-0001-5491-4789
Changzheng YuanSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-2389-8752
Martin H de BorstDepartment of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-4127-8733
Kun HuangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Wei PiaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Shuya CaiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Mulei ChenChinese Center for Disease Control and Prevention, Beijing, China.
Fusheng LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Jing NanNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Dongmei Yu *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China. yudm@ninh.chinacdc.cn.
Xiang Gao *Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, 200032, China. xiang_gao@fudan.edu.cn.

Funding

China Scholarship Council 202408110159National Health Commission of the People's Republic of China 201519Public Health Emergency Project Nutrition Health and Healthy Diet Campaign 102393220020070000012
6 · The paper itself

Abstract

backgroundSleep is essential for stroke prognosis and recovery. While stroke history has been associated with sleep disturbances, evidence from China remains limited. This study aimed to characterize the prevalence of multiple sleep disturbances and to examine their associations with stroke history based on the China Nutrition and Health Surveillance 2015-2017.

methods157,135 respondents were included in the current study. Stroke history was defined as being first diagnosed over one year ago. Sleep disturbances were defined as non-optimal sleep duration (< 6 or ≥ 9 h), self-reported sleep-disordered breathing (SDB), and insomnia symptoms. The number of sleep disturbances was further used as an indicator of overall sleep quality. All analyses were weighted to obtain national representativeness. Weighted multivariable Poisson regression and multinomial logistic regression were applied to evaluate the associations between stroke history and sleep disturbances.

resultsThe prevalence of sleep disturbances was significantly higher among the stroke population than non-stroke population (non-optimal sleep duration: 41.7% vs. 26.3%; self-reported SDB: 42.1% vs. 27.6%; insomnia symptoms: 71.6% vs. 44.7%, all P < 0.01). In addition, the prevalence of having at least one sleep disturbance among the stroke population was higher than in non-stroke population (87.4% vs. 66.4%, P < 0.0001). Positive associations were observed between stroke history and prevalence of non-optimal sleep duration and insomnia symptoms (non-optimal sleep duration: multivariable-adjusted PR = 1.28; insomnia symptoms: PR = 1.12, all P < 0.0001), whereas no association was observed for self-reported SDB (PR = 1.01, P = 0.8045). Moreover, the strength of association between stroke and sleep disturbances increased with the number of co-occurring sleep disturbances (for 1 type: PR = 1.20; 2 types: PR = 1.40; 3 types: PR = 2.13, all P < 0.0001).

conclusionsStroke history was associated with an increased burden of sleep disturbances across multiple dimensions, particularly non-optimal sleep duration, insomnia symptoms, and sleep disturbance co-occurrence. The current results highlight the multidimensional nature of post-stroke sleep disturbances and the importance of comprehensive sleep assessment and management in post-stroke care.

Indexed as

Sleep Wake DisordersStrokeAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSelf ReportSleep DurationEpidemiologyNationwide surveillanceSleep disturbanceStroke

Identifiers

PMID42092838
PMCPMC13317244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.