Network analysis of smoking-related sleep characteristics in Chinese adults
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:56 |
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| Enthalten in: |
Annals of medicine - 56(2024), 1 vom: 26. März, Seite 2332424 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Xie, Yuting [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 27.03.2024 Date Revised 28.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1080/07853890.2024.2332424 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370169778 |
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| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Network analysis | |
| 650 | 4 | |a sleep characteristics | |
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| 700 | 1 | |a Huang, Huang |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Jianjun |e verfasserin |4 aut | |
| 700 | 1 | |a Ba, Yue |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Guoyu |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Fangfang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Daming |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yaqun |e verfasserin |4 aut | |
| 700 | 1 | |a Qie, Ranran |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Zhuolun |e verfasserin |4 aut | |
| 700 | 1 | |a Zou, Kaiyong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yawei |e verfasserin |4 aut | |
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