Literature DB >> 34524977

Association of sleep and circadian patterns and genetic risk with incident type 2 diabetes: a large prospective population-based cohort study.

Zhi-Hao Li1, Pei-Dong Zhang1,2, Qing Chen1, Xiang Gao3, Vincent C H Chung4, Dong Shen1, Xi-Ru Zhang1, Wen-Fang Zhong1, Qing-Mei Huang1, Dan Liu1, Pei-Liang Chen1, Wei-Qi Song1, Xian-Bo Wu1, Virginia Byers Kraus5, Chen Mao1.   

Abstract

OBJECTIVE: To examine the association of incident type 2 diabetes (T2D) risk with sleep factors, genetic risk, and their combination effects.
DESIGN: Large prospective population-based cohort study.
METHODS: This population-based prospective cohort study included 360 403 (mean (s.d.) age: 56.6 (8.0) years) participants without T2D at baseline from the UK Biobank. Genetic risk was categorised as high (highest quintile), intermediate (quintiles: 2-4), and low (lowest quintile) based on a polygenic risk score for T2D. Sleep scores, including long or short sleep duration, insomnia, snoring, late chronotype, and excessive daytime sleepiness, were categorized as an unfavourable, intermediate, or favourable sleep and circadian pattern.
RESULTS: During a median follow-up of 9.0 years, 13 120 incident T2D cases were recorded. Among the participants with an unfavourable sleep and circadian pattern, 6.96% (95% CI: 6.68-7.24%) developed T2D vs 2.37% (95% CI: 2.28-2.46%) of participants with a favourable sleep and circadian pattern (adjusted hazard ratio (HR): 1.53, 95% CI: 1.45-1.62). Of participants with a high genetic risk, 5.53% (95% CI: 5.36-5.69%) developed T2D vs 2.01% (95% CI: 1.91-2.11%) of participants with a low genetic risk (adjusted HR: 2.89, 95% CI: 2.72-3.07). The association with sleep and circadian patterns was independent of genetic risk strata. Participants in the lowest quintile with an unfavourable sleep and circadian pattern were 3.97-fold more likely to develop T2D than those in the lowest quintile with a favourable sleep and circadian pattern.
CONCLUSIONS: Sleep and circadian patterns and genetic risk were independently associated with incident T2D. These results indicate the benefits of adhering to a healthy sleep and circadian pattern in entire populations, independent of genetic risk.

Entities:  

Mesh:

Year:  2021        PMID: 34524977     DOI: 10.1530/EJE-21-0314

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.558


  3 in total

1.  Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort.

Authors:  Yao Yao; Yumeng Jia; Yan Wen; Bolun Cheng; Shiqiang Cheng; Li Liu; Xuena Yang; Peilin Meng; Yujing Chen; Chun'e Li; Jingxi Zhang; Zhen Zhang; Chuyu Pan; Huijie Zhang; Cuiyan Wu; Xi Wang; Yujie Ning; Sen Wang; Feng Zhang
Journal:  Nat Sci Sleep       Date:  2022-01-06

2.  Healthy Sleep Associated With Lower Risk of Hypertension Regardless of Genetic Risk: A Population-Based Cohort Study.

Authors:  Zhi-Hao Li; Qing-Mei Huang; Xiang Gao; Vincent C H Chung; Pei-Dong Zhang; Dong Shen; Xi-Ru Zhang; Wen-Fang Zhong; Dan Liu; Pei-Liang Chen; Qing Chen; Miao-Chun Cai; Xin Cheng; Hai-Lian Yang; Wei-Qi Song; Xian-Bo Wu; Virginia Byers Kraus; Chen Mao
Journal:  Front Cardiovasc Med       Date:  2021-11-18

3.  Visualizing Research Trends and Identifying Hotspots of Traditional Chinese Medicine (TCM) Nursing Technology for Insomnia: A 18-Years Bibliometric Analysis of Web of Science Core Collection.

Authors:  Junxin Wang; Yufeng Chen; Xing Zhai; Yupeng Chu; Xiangdi Liu; Xueling Ma
Journal:  Front Neurol       Date:  2022-03-31       Impact factor: 4.003

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.