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Sleep quality and incidence of diabetes in 0.5 million Chinese adults

Bibliographic Data

ID15374397
AuthorsChunxiao Xu (0000-0003-3592-7423, Zhejiang Center for Disease Control and Prevention, corresponding author), Neil Wright (0000-0003-0524-594X, University of Oxford), Yiping Chen (0000-0002-4973-0296, University of Oxford), Pei Pei (0009-0008-1893-0712, University of Oxford), Ling Yang (0000-0001-5750-6588, University of Oxford), Dianjianyi Sun (0000-0003-3651-6693, Ministry of Education), Maxim Barnard (University of Oxford), Jun Lv (0000-0001-7916-3870, Ministry of Education), Zhongcheng Gong, Zhimin Gong, Canqing Yu (0000-0002-0019-0014, Peking University), Junshi Chen (0000-0001-5530-1343, Deleted Institution), Weiwei Gong (0000-0002-7066-4772, Zhejiang Center for Disease Control and Prevention), Liming Li (0000-0001-5492-432X, Ministry of Education), Min Yu (0000-0002-7614-0355, Zhejiang Center for Disease Control and Prevention), Christopher Chen (0000-0002-0844-7523, University of Oxford), Zhengming Chen (0000-0001-9437-6452), Meng Wang (0000-0001-5799-549X, Zhejiang Center for Disease Control and Prevention), Huaidong Du (0000-0002-9814-0049, University of Oxford)
Year2025
Volume26
Issue1
Pages302-302
Publication date2025-12-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-025-25993-y
PMID41419872
OpenAlexW4417482824
LanguageEN
References cited46

Poor 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. We 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. During 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. Poor 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

Body mass index · Confidence interval · Diabetes mellitus · Hazard ratio · Incidence (geometry · Risk factor · Socioeconomic status · Waist · Diabetes, Cardiovascular Risks, and Lipoproteins · Physical Activity and Health · Sleep and related disorders · Epidemiology

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