Evidence map›Paper›PMID 41419872›Full record

ArticleBMC public health2025

Sleep quality and incidence of diabetes in 0.5 million Chinese adults.

Chunxiao Xu, Neil Wright, Yiping Chen, Pei Pei, Ling Yang, Dianjianyi Sun, Maxim Barnard, Jun Lv, Zhimin Gong, Canqing Yu and 7 more

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Chunxiao XuDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, No.630 Xincheng Road, China.
Neil WrightNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Yiping ChenNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Pei PeiNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Ling YangNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Maxim BarnardNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhimin GongPengzhou People's Hospital, Chengdu, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Junshi ChenChina National Centre for Food Safety Risk Assessment, Beijing, China.
Weiwei GongDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, No.630 Xincheng Road, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Min YuDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, No.630 Xincheng Road, China.
Zhengming ChenNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK.
Meng WangDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, No.630 Xincheng Road, China. mwang@cdc.zj.cn.
Huaidong DuNuffield Department of Population Health (NDPH), University of Oxford, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Old Road Campus, Oxford, OX3 7LF, UK. huaidong.du@ndph.ox.ac.uk.

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK C16077/A29186; C500/A16896Medical Science and Technology Project of Zhejiang Province, China 2024KY913National Natural Science Foundation of China 82192900, 82192901, 82192904，82388102Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0510100UK Medical Research Council MC_UU_00017/1, MC_UU_12026/2, MC_U137686851Wellcome grants to Oxford University 212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/ZWellcome Trust
6 · The paper itself

Abstract

backgroundPoor sleep quality is comparable to traditional risk factors for diabetes. This study evaluated the association between sleep quality index (SQI) and the risk of diabetes incidence in China.

methodsWe used data from the China Kadoorie Biobank, comprising 462,743 participants aged 30 to 79 years without diabetes at baseline, who were recruited between 2004 and 2008 from ten diverse regions across China. We developed a SQI to assess sleep quality, based on seven self-reported sleep behaviors. The association of SQI (a lower value reflects a better sleep quality) on diabetes risk was assessed using Cox proportional hazards models, adjusting for a range of covariates including mainly potential risks factors of diabetes, i.e., waist circumference, body mass index, frailty, and poor health.

resultsDuring an average follow-up of 11.7 years, a total of 18,397 incident cases of diabetes were identified among study participants. Compared with individuals with a SQI of 0, those with SQI of 1, 2, 3, or ≥ 4 had adjusted hazard ratio of 1.07 [95% confidence interval: 1.05–1.10], 1.17 (1.13–1.21), 1.12 (1.06–1.19), and 1.28 (1.17–1.39), respectively. Additionally, each one-unit higher SQI was associated with 6% higher risk. The association was very consistent between sexes and across various subgroups. Our study also found that sleep quality is closely linked to various socioeconomic and lifestyle factors, including education, occupation, levels of physical activity, sedentary habits, and adiposity.

conclusionsPoor sleep quality was a significant risk factor of developing diabetes in Chinese adults from both rural and urban areas. Promoting a healthy sleeping habit may be a promising public health strategy for the prevention of diabetes.

Indexed as

Diabetes MellitusSleep QualityAdultAgedChinaEast Asian PeopleFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsChinaDiabetes mellitusProspective studySleep quality

Identifiers

PMID41419872
PMCPMC12831405

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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.