文章摘要
李亚茹,王婧,赵丽云,王志宏,于冬梅,何宇纳,丁钢强.中国成年人饮酒习惯及影响因素[J].中华流行病学杂志,2018,39(7):898-903
中国成年人饮酒习惯及影响因素
The drinking status and associated factors in adults in China
投稿时间:2018-01-31  
DOI:10.3760/cma.j.issn.0254-6450.2018.07.007
中文关键词: 饮酒;影响因素;成年人
英文关键词: Drinking;Associated factor;Chinese adults
基金项目:国家卫生和计划生育委员会医改重大项目-中国居民营养与健康状况监测(2010-2012年)
作者单位E-mail
李亚茹 100050 北京, 中国疾病预防控制中心营养与健康所  
王婧 100050 北京, 中国疾病预防控制中心营养与健康所  
赵丽云 100050 北京, 中国疾病预防控制中心营养与健康所  
王志宏 100050 北京, 中国疾病预防控制中心营养与健康所  
于冬梅 100050 北京, 中国疾病预防控制中心营养与健康所  
何宇纳 100050 北京, 中国疾病预防控制中心营养与健康所  
丁钢强 100050 北京, 中国疾病预防控制中心营养与健康所 dinggq@chinacdc.cn 
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中文摘要:
      目的 了解中国成年居民的饮酒状况及其影响因素。方法 以2010-2012年中国居民营养与健康状况监测为依托,纳入135 824名≥18岁成年人进行横断面调查。采用多因素logistic回归分析我国居民饮酒状况及其影响因素。结果 我国成年人饮酒率为30.5%,其中男性饮酒率为53.8%,女性饮酒率为12.2%。在现在饮酒者中,男性和女性的过量饮酒率分别为14.0%和1.1%,每天饮酒率分别为25.7%和10.9%。男性饮酒类型主要为混合酒,女性为啤酒。我国饮酒人群的有害饮酒率为7.1%。随着年龄的增加,过量饮酒率、每天饮酒率和有害饮酒率呈先上升再下降趋势。饮酒率、过量饮酒率、每天饮酒率和有害饮酒率与身体活动呈正相关。结论 我国成年居民饮酒率、过量饮酒率、每天饮酒率和有害饮酒率均较高。饮酒状况与年龄、性别、婚姻状况、文化程度、吸烟状况和身体活动相关。
英文摘要:
      Objective To investigate the drinking status and associated factors in adults in China. Methods Based on the 2010-2012 China National Nutrition and Health Survey (CNNHS), a total of 135 824 participants aged ≥ 18 were included in this cross-sectional analysis. Multivariable logistic regression model was used to investigate the associated factors for drinking status. Results The overall drinking rate was 30.5% in Chinese adults, 53.8% in men, and 12.2% in women. The excessive drinking rate was 14.0% in men and 1.1% in women. The daily drinking rate was 25.7% in men and 10.9% in women. Men mainly consumed multi-type wines, but women preferred beer. The overall harmful drinking rate was 7.1%. The excessive drinking rate, daily drinking rate, and harmful drinking rate increased first but then declined with age. All the four rates were positively related with physical activity. Conclusions The drinking rate, excessive drinking rate, daily drinking rate and harmful drinking rate were high in adults in China. Drinking status was associated with age, sex, marital status, education level, smoking status and physical activity.
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