Evidence map›Paper›PMID 39614220›Full record

ArticleBMC public health2024

Prevalence and association of sleep duration and different volumes of physical activity with type 2 diabetes: the first evidence from CHARLS.

Zigui Zhou, Xuewen Tian

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Zigui ZhouSchool of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai, 200438, China.
Xuewen TianSchool of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai, 200438, China. xuewentian1978@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the prevalence of type 2 diabetes (T2D) and the independent and joint associations of sleep duration and different volumes of physical activity (PA) with T2D in the China Health and Retirement Longitudinal Study (CHARLS).

methodsThe prevalence of T2D among the Chinese population aged 45 years and older was estimated for the years 2011, 2013, 2015, 2018, and 2020. Data from 2020 were used to examine the independent and joint associations of sleep duration and different volumes of PA with T2D. Sleep duration was classified into three categories: short (< 6 h/day), normal (6-8 h/day), and long (> 8 h/day). PA volumes were classified based on the IPAQ recommendations as follows: light-volume PA (LPA, < 600 MET-minutes/week), moderate-volume PA (MPA, 600-3000 MET-minutes/week), and vigorous-volume PA (VPA, > 3000 MET-minutes/week). The data were statistically analyzed using a t-test and analysis of variance (ANOVA). Multivariate logistic regression models were used to examine the independent and joint associations of PA and sleep duration with T2D.

resultsThe prevalence of T2D in the LPA and short sleep groups increased from 13.35% (95% CI = 10.41-16.75) and 11.52% (95% CI = 10.01-13.15) in 2011 to 17.27% (95% CI = 15.09-19.62) and 16.28% (95% CI = 15.34-17.25) in 2020, respectively. Compared with LPA, VPA was associated with lower odds of T2D (Model 3, OR = 0.82, 95% CI = 0.69-0.97). Compared to individuals with normal sleep duration, those with short sleep duration had a higher likelihood of T2D (Model 3, OR = 1.10, 95% CI = 1.08-1.22), whereas long sleep duration did not show a significant association (Model 3, OR = 1.03, 95% CI = 0.86-1.23). The risk of developing T2D was approximately 35% lower for individuals with LPA and normal sleep duration compared to those with LPA and short sleep duration (Model 3, OR = 0.65, 95% CI = 0.46-0.91). In the VPA group, the mitigation effect of exercise on T2D was observed regardless of sleep duration (Model 3, short: OR = 0.73, 95% CI = 0.56-0.95; normal: OR = 0.65, 95% CI = 0.51-0.85; long: OR = 0.63, 95% CI = 0.45-0.89).

conclusionsThe prevalence of T2D among middle-aged and older adults in China increased substantially from 2011 to 2020. Short sleep duration is associated with higher odds of developing T2D. However, engaging in VPA mitigates this risk, even in those with insufficient sleep.

Indexed as

Diabetes Mellitus, Type 2ExerciseSleepAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRisk FactorsSleep DurationTime FactorsChina Health and Retirement Longitudinal StudyLight-volume physical activityModerate-volume physical activityType 2 diabetesVigorous-volume physical activity

Identifiers

PMID39614220
PMCPMC11605889

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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.