Abstract
BackgroundSleep duration is a vital public health topic, yet most existing studies have been limited to cross-sectional surveys or inconsistent classifications of sleep duration categories, and few characterized its continuous development process. The current study aimed to depict its change trajectory in the general population and identify associated factors from a dynamic perspective.MethodsA total of 3788 subjects (45.4% male, mean age 46.72 ± 14.89 years) from the China Health and Nutrition Survey were recruited, and their daily sleep duration for five consecutive measurements from 2004 to 2015 was recorded. We adopted latent growth modelling to establish systematic relations between sleep duration and time. Participants’ sociodemographic characteristics, lifestyle, and health factors were taken as covariates.ResultsThe change in sleep duration could be depicted by a linear decreasing trajectory with the mean yearly decrease at 2.5 min/day. The trajectory did not differ by residence, BMI category, chronic disease situation, smoking status, or drinking status. Moreover, there were sex and age differences in the trajectory, and females and those under 30 were prone to larger decrease rates.ConclusionThe quantified yearly change in sleep duration provided insights for the prediction and early warning of insufficient sleep. Public health interventions focusing on slowing down the decrease rates among females and young individuals are warranted.
Highlights
Sleep duration is a vital public health topic, yet most existing studies have been limited to crosssectional surveys or inconsistent classifications of sleep duration categories, and few characterized its continuous development process
We found that the change in sleep duration could be depicted by a linear decreasing trajectory with the mean yearly decrease at 2.5 min/day
The trajectory did not differ by residence, body mass index (BMI) category, chronic disease situation, smoking status, or drinking status
Summary
Sleep duration is a vital public health topic, yet most existing studies have been limited to crosssectional surveys or inconsistent classifications of sleep duration categories, and few characterized its continuous development process. The current study aimed to depict its change trajectory in the general population and identify associated factors from a dynamic perspective. Sleep duration varies across the lifespan [1], and researchers have devoted considerable attention to its change [2, 3]. For. Evidence from observational research has indicated that there are several influential factors of sleep duration, such as sex, age, geographical region, body mass index (BMI) category, and hypertension [2, 9, 10]. Smoking and alcohol consumption were found to be related to short sleep duration [10,11,12].
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