Relationship between advanced sleep phase syndrome and type 2 diabetes mellitus based on the propensity score method

GAO Rong-rong; GAO Qian; WANG Tong

doi:10.16462/j.cnki.zhjbkz.2023.01.010

Volume 27 Issue 1

Jan. 2023

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GAO Rong-rong, GAO Qian, WANG Tong. Relationship between advanced sleep phase syndrome and type 2 diabetes mellitus based on the propensity score method[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 53-59. doi: 10.16462/j.cnki.zhjbkz.2023.01.010

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GAO Rong-rong, GAO Qian, WANG Tong. Relationship between advanced sleep phase syndrome and type 2 diabetes mellitus based on the propensity score method[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 53-59. doi: 10.16462/j.cnki.zhjbkz.2023.01.010

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Relationship between advanced sleep phase syndrome and type 2 diabetes mellitus based on the propensity score method

doi: 10.16462/j.cnki.zhjbkz.2023.01.010

Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China

Funds:

National Natural Science Foundation of China 82073674

The Grant of the Major Science and Technology Project of Shanxi Province 202102130501003

The Grant of the Major Science and Technology Project of Shanxi Province 202005D121008

More Information

Corresponding author: WANG Tong, E-mail: tongwang@sxmu.edu.cn
Received Date: 2022-03-28
Rev Recd Date: 2022-06-08

Available Online: 2023-02-09

Publish Date: 2023-01-10

Abstract

Abstract

Objective This study aimed to analyze the correlation between advanced sleep phase syndrome (ASPS) and type 2 diabetes mellitus (T2DM), to better understand the health effects of sleep and provide a theoretical basis for prevention and intervention of T2DM. Methods The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) (2017-2018) database. ASPS was defined by bedtime and morning rise time on weekdays. T2DM was defined as taking antidiabetic drugs. Associations between ASPS and T2DM were analyzed using the propensity score-based inverse probability treatment weights (IPTW) and overlap weights (OW) to control for potential confounding variables as much as possible. Results A total of 6 048 participants were included in the study, of whom 759 had T2DM and 411 were diagnosed with ASPS, accounting for 12.5% and 6.8%, respectively. The prevalence of T2DM was higher in the ASPS group than in the non-ASPS group (20.0% vs. 12.0%, t=21.295, P < 0.001). After controlling for potential confounding by IPTW, the analysis showed that the ASPS group had a 1.540-fold higher risk of developing T2DM than the non-ASPS group (OR=1.540, 95% CI: 1.184-2.002, P=0.001). After further fully balancing the covariates, OW analysis showed the significance of the two still existed (OR=1.362, 95% CI: 1.078-1.722, P=0.001). Conclusions ASPS is an independent risk factor for T2DM, suggesting that the management of sleep problems is of great significance in the prevention and treatment of T2DM.
- Advanced sleep phase syndrome,
- Type 2 diabetes,
- Inverse probability weighting,
- Overlap weighting

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References(20)

References

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