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Public Health

Network analysis of smoking-related sleep characteristics in Chinese adults

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Article: 2332424 | Received 25 Jul 2023, Accepted 29 Feb 2024, Published online: 25 Mar 2024
 

Abstract

The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.

Acknowledgments

The authors thank all research staff members who participated in this work.

Author contributions

YWZ designed and conducted the research. YTX performed data analysis and drafted the paper. PYS, HH, JJW, YB, GYZ, FFY, DMZ, YQZ, and YWZ contributed to data collection. YTX, RRQ, ZLH, PYS, HH, KYZ, and YWZ revised the paper critically for important content. All authors read and approved the final version of the manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

Additional information

Funding

This study was supported by the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (grant number 2021-RC310-009) and the National Natural Science Foundation of China (grant number 82204168).