Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study

Abstract

Purpose The relationships between sleep quality and sleep hygiene awareness in the Chinese population were unclear. We aimed to investigate the associations and related factors between sleep quality and sleep hygiene awareness in adults and to identify the most central domain for sleep quality using network analysis. Methods A cross-sectional survey was conducted from April 22 to May 5, 2020. Adults (18 years old or above) who had access to smartphones were invited to participate in this survey. The Pittsburg Sleep Quality Index (PSQI) and the Sleep Hygiene Awareness and Practice Scale (SHAPS) were used to evaluate the sleep quality and sleep hygiene awareness of the participants. Propensity score matching (PSM) was used as sensitivity analysis to reduce the confounding effects. Multiple logistic regression was performed to evaluate the associations. The R packages “bootnet” and “qgraph” were used to estimate the connection and calculate the network centrality indices between good and poor sleepers. Results In total, 939 respondents were included in the analysis. Of them, 48.8% (95% CI: 45.6–52.0%) were identified as poor sleepers. Participants with nervous system diseases, psychiatric diseases, and psychological problems were more likely to have poor sleep quality. The notion that using sleep medication regularly was beneficial to sleep was associated with poor sleep quality. Similarly, the notion that waking up at the same time each day disrupted sleep was also associated with poor sleep quality. The findings were consistent before and after PSM. Subjective sleep quality was the most central domain for sleep quality in good and poor sleepers. Conclusion Poor sleep quality was positively associated with certain sleep hygiene notions in Chinese adults. Effective measures such as self-relief, sleep hygiene education, and cognitive behavioral treatment may have been needed to improve sleep quality, especially during the COVID-19 outbreak. Supplementary Information The online version contains supplementary material available at 10.1007/s11325-023-02798-0.

Sleep conditions and sleep hygiene behaviors in early pregnancy are associated with gestational diabetes mellitus: A propensity-score matched study

“…Sleep hygiene involves a wide range of behaviors that ensure su cient sleep quality of sleep [27]. Worse sleep hygiene behaviors can lead to signi cantly lower sleep e ciency in pregnant women, often manifesting as a shorter sleep duration and longer wake time [13,28]. In our study, arousal-related and sleepscheduling behaviors played important roles in the occurrence of GDM and in blood glucose elevation.…”

“…Subjective evaluation usually refers to the form of a questionnaire and a diary [11]. There are several dimensions for evaluating sleep, including sleep quality, alertness/sleepiness, and sleep hygiene behaviors [12,13]. Currently, most existing studies have mainly focused on the effects of sleep deprivation in the second and third trimesters of pregnancy on GDM, whereas relatively few studies have focused on sleep status in the rst stages of pregnancy [14][15][16].…”

Effects of Educational Videos to Increase Knowledge, Attitudes, and Sleep Quality of Pregnant Women with Chronic Energy Deficiency

“…25 Sleep quality has a major impact on health 26 , and is considered a leading public health problem. 27 Concept analysis by Qi et al 28 showed that sleep quality is determined by five components: (1) sleep efficiency, the ratio of total sleep time to total time in bed; (2) sleep disturbances; (3) sleep latency, which is defined as the time it takes to go from being awake to sleeping; (4) sleep duration within 24 hours; (5) and wake time after sleep onset, or in other words, the total wake time from sleep onset to wake up. Good sleep quality is a predictor of overall physical and mental health, well-being, and vitality.…”

Better characterizing sleep beliefs for personalized sleep health promotion: the French sleep beliefs scale validation study

“…However, further studies are still needed to evaluate the test–retest reliability of the scale and validate it with other standard measures of sleep hygiene practice and quality, as well as in clinical samples of subjects with sleep problems such as insomnia ( 23 ). The SBS is based on an older questionnaire, the Sleep Hygiene Awareness and Practice Scale (SHAPS) ( 30 ), which was still used in its original form in some recent studies ( 31 ). This 33-item SHAPS mixes 14 items assessing sleep beliefs with 19 items evaluating sleep behaviors, while the SBS is shorter (20 items) and focuses specifically on sleep beliefs and not on sleep behaviors per se .…”