Modeling the change trajectory of sleep duration and its associated factors: based on an 11-year longitudinal survey in China

• Published in: BMC public health Vol. 21; no. 1; pp. 1963 - 9
• Main Authors: Fang, Junyan, Wen, Zhonglin, Ouyang, Jinying, Wang, Huihui
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 30.10.2021; BioMed Central; BMC
• Subjects: Adult; Age; Age differences; Alcohol; Associated factors; Body mass index; China - epidemiology; Chronic illnesses; Cross-Sectional Studies; Diagnosis; Female; Females; Forecasts and trends; Health aspects; Health promotion; Humans; Hypertension; Longitudinal Studies; Longitudinal study; Male; Middle Aged; Nutrition; Nutrition Surveys; Polls & surveys; Population; Public health; Risk factors; Rural areas; Sleep; Sleep disorders; Sleep duration; Surveys; Trajectory; China; Associated factors; Trajectory; Sleep duration; Longitudinal study
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-021-12017-8

Sleep 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. A 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. 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, 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. The 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.