文献类型：期刊文献

英文题名：Network analysis of smoking-related sleep characteristics in Chinese adults

作者：Xie, Yuting[1];Sun, Peiyuan[1];Huang, Huang[1];Wu, Jianjun[2];Ba, Yue[3,4];Zhou, Guoyu[3,4];Yu, Fangfang[3,4];Zhang, Daming[5];Zhang, Yaqun[6];Qie, Ranran[1];Hu, Zhuolun[1];Zou, Kaiyong[7];Zhang, Yawei[1]

第一作者：Xie, Yuting

通信作者：Zhang, YW[1]

机构：[1]Chinese Acad Med Sci & Peking Union Med Coll, Dept Canc Prevent & Control, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp,Dept Canc Prevent, Beijing 100021, Peoples R China;[2]Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou, Gansu, Peoples R China;[3]Zhengzhou Univ, Sch Publ Hlth, Dept Environm Hlth, Zhengzhou, Henan, Peoples R China;[4]Zhengzhou Univ, Sch Publ Hlth, Environm & Hlth Innovat Team, Zhengzhou, Henan, Peoples R China;[5]Harbin Med Univ, Affiliated Hosp 1, Dept Neurosurg, Harbin, Heilongjiang, Peoples R China;[6]Dept Ecol & Environm Gansu Prov, Lanzhou, Gansu, Peoples R China;[7]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Clin Res Ctr Canc, Canc Hosp,Off Canc Screening, Beijing, Peoples R China

第一机构：Chinese Acad Med Sci & Peking Union Med Coll, Dept Canc Prevent & Control, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp,Dept Canc Prevent, Beijing 100021, Peoples R China

通信机构：[1]corresponding author), Chinese Acad Med Sci & Peking Union Med Coll, Dept Canc Prevent & Control, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp,Dept Canc Prevent, Beijing 100021, Peoples R China.

年份：2024

卷号：56

期号：1

外文期刊名：ANNALS OF MEDICINE

收录：;Scopus(收录号：2-s2.0-85188651407);WOS:【SCI-EXPANDED(收录号:WOS:001190860600001)】；

基金：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).

语种：英文

外文关键词：Network analysis; sleep characteristics; smoking status; smoking intensity

摘要：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.