Abstract
赵健,张伋,苏畅,范丹丹,王惠君,张兵.2015年中国15个省份城乡成年男性吸烟与睡眠时间关联性分析[J].Chinese journal of Epidemiology,2021,42(2):284-290
2015年中国15个省份城乡成年男性吸烟与睡眠时间关联性分析
Relationship between smoking status and sleeping duration in male adults in 15 provinces of China, 2015
Received:April 23, 2020  
DOI:10.3760/cma.j.cn112338-20200423-00630
KeyWord: 吸烟  重度吸烟  睡眠时间  睡眠不足
English Key Word: Smoking status  Heavy smoker  Sleep duration  Insufficient sleep
FundProject:国家重点研发计划(2019YFC1605100);国家财政拨款项目(13103110700015005)
Author NameAffiliationE-mail
Zhao Jian Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China  
Zhang Ji School of Public Health, Peking University, Beijing 100191, China  
Su Chang National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China suchang@ninh.chinacdc.cn 
Fan Dandan Chaoyang District Health Commission, Beijing 100026, China  
Wang Huijun National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Zhang Bing National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
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Abstract:
      目的 分析中国15个省份城乡成年男性居民吸烟状况与睡眠时间之间的关系。方法 数据来源于2015年“中国居民营养状况变迁的队列研究”资料。选取有完整吸烟状况和睡眠时间的18~64岁成年男性共计4 419人,其中城市1 713人(38.8%),农村2 706人(61.2%)。依据调查对象是否吸烟以及吸烟者每日吸烟数量将研究对象分为不吸烟、轻度吸烟(1~14支/d)、中度吸烟(15~24支/d)和重度吸烟(≥ 25支/d)4组。根据睡眠时间长短将研究对象的睡眠状况分为睡眠不足(<7 h/d)、睡眠适宜(≥ 7 h/d且<9 h/d)和睡眠过多(≥ 9 h/d)3类。利用两水平混合效应线性回归模型和logistic回归模型分析城、乡成年男性吸烟状况和睡眠时间的关系。结果 城乡男性的吸烟率分别为45.7%和53.8%。城乡男性重度吸烟者中,睡眠适宜的人群比例最低(分别为66.7%和68.1%),而睡眠不足人群比例最高(分别为15.3%和20.3%)。农村男性重度吸烟者的平均每日睡眠时间比不吸烟人群减少了0.21 h (β=-0.21,95%CI:-0.44~-0.01),且重度吸烟者患睡眠不足的风险是不吸烟人群的1.83倍(OR=1.83,95%CI:1.03~3.23)。结论 重度吸烟与我国农村地区成年男性居民睡眠时间减少及睡眠不足的风险增加存在关联。
English Abstract:
      Objective To assess the relationship between smoking status and sleep duration in male adults in urban-rural areas of 15 provinces (municipalities, autonomous regions) in China in 2015.Methods Data were derived from the China Nutritional Transition Cohort Study 2015, a total of 4 419 participants aged 18-64 years, including 1 713 urban males (38.8%) and 2 706 rural males (61.2%), with complete information about smoking status and sleep duration were included in the final analysis. Based on the number of cigarettes consumed daily, the current smokers were classified to be heavy (25 cigarettes/d and above), moderate (15-24 cigarettes/d), and light (1-14 cigarettes/d). Sleep duration was classified to be insufficient (<7 h/d), sufficient (7-9 h/d), and excessive (9 h/d and above). Two-level mixed-effects linear and logistic regression models were used for association analysis.Results The smoking rates in male adults in urban and rural areas were 45.7% and 53.8%, respectively. In male heavy smokers in urban and rural areas, the proportions of sufficient sleep were the lowest (66.7% and 68.1%). However, the proportions of sleep deprivation were highest (15.3% and 20.3%). After controlling for confounding factors, the net effect on male heavy smokers was a significant decrease of 0.21 h/d (β=-0.21, 95%CI:-0.44 -0.01) in sleep duration. Moreover, the odds ratio for insufficient sleep were 1.83 (95%CI:1.03-3.23) in male heavy smokers in rural area compared with nonsmokers.Conclusion Heavy smoking is associated with decreased sleep duration and increased risk of sleep deprivation in male adults in rural China.
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