Wen Li , Qi Zhao , Yue Chen , Genming Zhao , Chaowei Fu
{"title":"睡眠状态对血脂和2型糖尿病发病率的影响:中国人群队列的中介分析","authors":"Wen Li , Qi Zhao , Yue Chen , Genming Zhao , Chaowei Fu","doi":"10.1016/j.diabres.2025.112475","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>This study aimed to examine the association between sleep status and T2DM incidence, and explore the potential mediating role of lipid profiles.</div></div><div><h3>Methods</h3><div>A cohort study of 69,116 participants aged 20–74 in Shanghai (2016–2019) tracked new T2DM cases until 2024. Sleep status was assessed using the Pittsburgh Sleep Quality Index (PSQI). Cox and logistic regression models evaluated the associations between sleep, lipid profiles, and T2DM. Mediation analysis was conducted to explore the effects of lipid profiles, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), dyslipidemia, and the Chinese Visceral Adiposity Index (CVAI).</div></div><div><h3>Results</h3><div>Among 49,734 eligible participants, 4,126 new T2DM cases were diagnosed. Poor overall sleep quality (HR: 1.087, 95 % CI: 1.016, 1.162), subjective sleep quality (HR: 1.097, 95 % CI: 1.007, 1.194), and sleep disturbances (HR: 1.118, 95 % CI: 1.038, 1.204) were associated with a higher risk of T2DM. Mediation analysis revealed that dyslipidemia, TC, and CVAI played a major mediating role in the association between sleep disorders and T2DM.</div></div><div><h3>Conclusions</h3><div>Sleep disorders are linked to a higher T2DM risk, with lipid profiles mediating the relationship. Managing lipid metabolism and assessing T2DM risk in those with sleep disorders is key for prevention.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112475"},"PeriodicalIF":7.4000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of sleep status on lipid profiles and incident type 2 diabetes mellitus: a mediation analysis in a Chinese population cohort\",\"authors\":\"Wen Li , Qi Zhao , Yue Chen , Genming Zhao , Chaowei Fu\",\"doi\":\"10.1016/j.diabres.2025.112475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aims</h3><div>This study aimed to examine the association between sleep status and T2DM incidence, and explore the potential mediating role of lipid profiles.</div></div><div><h3>Methods</h3><div>A cohort study of 69,116 participants aged 20–74 in Shanghai (2016–2019) tracked new T2DM cases until 2024. Sleep status was assessed using the Pittsburgh Sleep Quality Index (PSQI). Cox and logistic regression models evaluated the associations between sleep, lipid profiles, and T2DM. Mediation analysis was conducted to explore the effects of lipid profiles, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), dyslipidemia, and the Chinese Visceral Adiposity Index (CVAI).</div></div><div><h3>Results</h3><div>Among 49,734 eligible participants, 4,126 new T2DM cases were diagnosed. Poor overall sleep quality (HR: 1.087, 95 % CI: 1.016, 1.162), subjective sleep quality (HR: 1.097, 95 % CI: 1.007, 1.194), and sleep disturbances (HR: 1.118, 95 % CI: 1.038, 1.204) were associated with a higher risk of T2DM. Mediation analysis revealed that dyslipidemia, TC, and CVAI played a major mediating role in the association between sleep disorders and T2DM.</div></div><div><h3>Conclusions</h3><div>Sleep disorders are linked to a higher T2DM risk, with lipid profiles mediating the relationship. Managing lipid metabolism and assessing T2DM risk in those with sleep disorders is key for prevention.</div></div>\",\"PeriodicalId\":11249,\"journal\":{\"name\":\"Diabetes research and clinical practice\",\"volume\":\"229 \",\"pages\":\"Article 112475\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes research and clinical practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168822725004899\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes research and clinical practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168822725004899","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
The impact of sleep status on lipid profiles and incident type 2 diabetes mellitus: a mediation analysis in a Chinese population cohort
Aims
This study aimed to examine the association between sleep status and T2DM incidence, and explore the potential mediating role of lipid profiles.
Methods
A cohort study of 69,116 participants aged 20–74 in Shanghai (2016–2019) tracked new T2DM cases until 2024. Sleep status was assessed using the Pittsburgh Sleep Quality Index (PSQI). Cox and logistic regression models evaluated the associations between sleep, lipid profiles, and T2DM. Mediation analysis was conducted to explore the effects of lipid profiles, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), dyslipidemia, and the Chinese Visceral Adiposity Index (CVAI).
Results
Among 49,734 eligible participants, 4,126 new T2DM cases were diagnosed. Poor overall sleep quality (HR: 1.087, 95 % CI: 1.016, 1.162), subjective sleep quality (HR: 1.097, 95 % CI: 1.007, 1.194), and sleep disturbances (HR: 1.118, 95 % CI: 1.038, 1.204) were associated with a higher risk of T2DM. Mediation analysis revealed that dyslipidemia, TC, and CVAI played a major mediating role in the association between sleep disorders and T2DM.
Conclusions
Sleep disorders are linked to a higher T2DM risk, with lipid profiles mediating the relationship. Managing lipid metabolism and assessing T2DM risk in those with sleep disorders is key for prevention.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.