Socio-demographic and behavioural factors associated with status change of sleep quality and duration among Chinese older adults

Bibliographic Data

ID11200609
AuthorsYen-Han Lee (0000-0003-4869-1982, Indiana University Bloomington, corresponding author), Yen-Chang Chang, Yen‐Chang Chang (0000-0002-9574-3194, National Tsing Hua University), Po-Ju Chang (0000-0001-7045-5287, National Taiwan University), Mack Shelley (0000-0002-0414-5843, Iowa State University)
Year2022
Volume42
Issue9
Pages2206-2223
Publication date2022-09-01
Open AccessYes
TypeARTICLE
VenueAgeing and Society (JOURNAL)
Journal identifiersISSN: 0144-686X • E-ISSN: 1469-1779
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0144686x21000015
OpenAlexW3130480202
LanguageEN
References cited43

China has faced challenges related to the rapid growth of its ageing population, and sleep is one of the public health challenges to this demographic group. This study examines the socio-demographic and behavioural factors associated with status change of sleeping patterns among Chinese older adults, using longitudinal data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Socio-demographic factors were selected from the 2012 wave of the CLHLS to examine the sleep status change in the 2014 wave. Multivariable logistic and multinomial regressions were used to study older adults’ changes of sleep quality and daily sleep duration. Older adults, 65 years old or above, were selected as study participants. A higher level of education was negatively associated with poor sleep quality and longer sleep duration (>8 hours). Increasing age was positively associated with both shorter and longer sleep duration. Being female was negatively associated with longer sleep duration. However, exercise status, smoking behaviour and alcohol use all were neither positively nor negatively associated with status change of sleeping patterns. Participants’ education, age and gender might be important factors associated with sleep status change. However, the effects of behavioural factors should be studied further. Policy implications and further research directions are discussed based on empirical results

Duration (music) · Logistic regression · Longitudinal study · Multinomial logistic regression · Sleep (system call) · Demography · Health disparities and outcomes · Medicine · Psychological Well-being and Life Satisfaction · Psychology · Sleep and related disorders · Gerontology

Tools

Open DOI