文章摘要
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].中华流行病学杂志,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
收稿日期:2020-04-23  出版日期:2021-02-24
DOI:10.3760/cma.j.cn112338-20200423-00630
中文关键词: 吸烟;重度吸烟;睡眠时间;睡眠不足
英文关键词: Smoking status;Heavy smoker;Sleep duration;Insufficient sleep
基金项目:国家重点研发计划(2019YFC1605100);国家财政拨款项目(13103110700015005)
作者单位E-mail
赵健 中国医学科学院基础医学研究所, 北京 100005  
张伋 北京大学公共卫生学院 100191  
苏畅 中国疾病预防控制中心营养与健康所, 北京 100050 suchang@ninh.chinacdc.cn 
范丹丹 北京市朝阳区卫生健康委员会 100026  
王惠君 中国疾病预防控制中心营养与健康所, 北京 100050  
张兵 中国疾病预防控制中心营养与健康所, 北京 100050  
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中文摘要:
      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。
英文摘要:
      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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