文章摘要
乔晓彤,陈潇潇,林海江,宁晨曦,许圆圆,沈伟伟,赵丹,丁盈盈,何纳.男性HIV阳性者与HIV阴性对照者饮酒现状及其影响因素[J].中华流行病学杂志,2019,40(5):493-498
男性HIV阳性者与HIV阴性对照者饮酒现状及其影响因素
Prevalence of alcohol use and related factors in HIV positive and HIV negative males
投稿时间:2018-12-20  
DOI:10.3760/cma.j.issn.0254-6450.2019.05.001
中文关键词: HIV;饮酒;吸烟;相关因素
英文关键词: HIV;Alcohol use;Smoking;Related factor
基金项目:国家科技重大专项(2018ZX10721102-004);国家自然科学基金(81773485,81872671)
作者单位E-mail
乔晓彤 复旦大学公共卫生学院流行病学教研室 公共卫生安全教育部重点实验室, 上海 200032  
陈潇潇 台州市疾病预防控制中心 318000  
林海江 台州市疾病预防控制中心 318000  
宁晨曦 复旦大学公共卫生学院流行病学教研室 公共卫生安全教育部重点实验室, 上海 200032  
许圆圆 台州市疾病预防控制中心 318000  
沈伟伟 台州市疾病预防控制中心 318000  
赵丹 复旦大学公共卫生学院流行病学教研室 公共卫生安全教育部重点实验室, 上海 200032  
丁盈盈 复旦大学公共卫生学院流行病学教研室 公共卫生安全教育部重点实验室, 上海 200032  
何纳 复旦大学公共卫生学院流行病学教研室 公共卫生安全教育部重点实验室, 上海 200032 nhe@fudan.edu.cn 
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中文摘要:
      目的 分析男性HIV阳性者和HIV阴性对照者的饮酒状况及其差异,探索饮酒相关影响因素。方法 利用2017年1-12月浙江省台州市“HIV与衰老相关疾病前瞻性队列研究”基线数据,选取18~80岁男性HIV阳性者和HIV阴性对照者纳入此分析。采用面对面调查问卷收集研究对象最近1个月饮酒行为数据,并依据美国国立酗酒和酒精滥用研究所标准,分为不饮酒、轻/中度饮酒和重度饮酒。采用多类别logistic回归模型分析轻/中度和重度饮酒的相关影响因素。结果 共纳入1 367例男性HIV阳性者和2 418例男性HIV阴性对照者。男性HIV阳性者的当前饮酒率(35.2%,481/1 367)和重度饮酒率(5.0%,24/481)均低于阴性对照者(48.0%,1 161/2 418;23.5%,273/1 161),但其饮白酒和黄酒的比例(21.8%,105/481;9.1%,44/481)明显高于HIV阴性对照者(13.5%,157/1 161;5.8%,67/1 161)。多因素logistic回归模型分析结果显示,腰围偏大、当前吸烟、体育锻炼与男性HIV阳性者的重度饮酒行为显著相关;年龄≥30岁、当前吸烟、体育锻炼、抑郁得分较高、异性性传播途径、基线CD4+T细胞计数为200~499个/μl与男性HIV阳性者的轻/中度饮酒行为显著相关。结论 浙江省台州市男性HIV阳性者中的饮酒比例低于HIV阴性者,但要加强饮酒与腰围较大、吸烟等慢性病相关危险因素的干预。
英文摘要:
      Objective To understand the prevalence of alcohol use and related factors in HIV positive and HIV negative males. Methods Baseline data were from the prospective cohort study of comparative HIV and aging research in Taizhou of Zhejiang province from January to December, 2017. The information about alcohol use in the last month was collected through a face-to-face questionnaire interview. Participants were categorized into non-current drinkers, light/moderate drinkers and heavy drinkers according to the US National Institute on Alcoholism and Alcohol Abuse (NIAAA) standard. Results A total of 1 367 HIV positive males and 2 418 HIV negative males were included. Current alcohol use rate (35.2%, 481/1 367) and heavy alcohol use rate (5.0%, 24/481) were significantly lower in HIV positive males than in HIV negative males (48.0%, 1 161/2 418; 23.5%, 273/1 161), but the proportion of drinking wine and yellow rice wine were significantly higher (21.8%, 105/481; 9.1%, 44/481) in HIV positive males than in HIV negative males (13.5%, 157/1 161; 5.8%, 67/1 161). The multivariate multinomial logistic regression analysis results showed that larger waist circumference, current smoking and regular physical exercise were associated with heavy alcohol use behavior in HIV positive males, and age ≥ 30 years, current smoking, regular physical exercise, higher score of depressive symptoms, heterosexual transmission route and baseline CD4+T cells counts of 200-499 cells/μl were significantly associated with mild/moderate alcohol use behavior in HIV positive males. Conclusions The alcohol use rate was significantly lower in HIV positive males than in HIV negative males in Taizhou. It is important to strengthen intervention on alcohol drinking behavior and chronic disease risk factors, such as larger waist circumference, smoking and so on.
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