目的了解天津市≥15岁人群饮酒行为现状,为制定相关政策和干预措施提供科学依据。方法依据2010-2012年开展的中国居民营养与健康状况监测采取的多阶段分层整群随机抽样的方法,分别抽取河西区、北辰区和静海县作为大城市、中小城市和农村监测点,每个监测点分别抽取6个居(村)委会,每个居(村)委会中各抽取75户,抽取膳食饮酒部分调查资料完整的≥15岁的常住家庭成员作为调查对象,共3 137人,分析其饮酒行为流行现状和特点。采用t检验、方差分析、秩和检验进行计量资料的统计分析,采用χ2检验或确切概率法进行计数资料的统计分析。结果天津≥15岁人群的现在饮酒率、危险饮酒率和有害饮酒率分别为32.2%、3.5%和4.0%,饮酒者中平均每日酒精摄入量中位数(最小值~最大值)为29.26(0.00~546.27)g。男性现在饮酒率、危险饮酒率、有害饮酒率和酒精摄入量分别为55.9%、7.4%、8.5%和19.00(0.00~546.27)g,明显高于女性[12.6%、0.2%、0.3%和0.43(0.00~93.52)g],差异均有统计学意义(P<0.01)。北辰区居民的现在饮酒率(43.2%)、危险饮酒率(4.9%)和有害饮酒率(6.4%)均最高,静海县居民的酒精摄入量[22.00(0.05~540.00)g]最高;各年龄组中45~岁组饮酒率(38.7%)、危险饮酒率(5.5%)、有害饮酒率(6.5%)和酒精摄入量[16.64(0.00~546.27)g]均最高。饮酒主要类型依次为低度白酒(19.3%)、啤酒(17.2%)、高度白酒(11.7%)和葡萄酒(6.3%)。从饮酒频率≥1次/周的比例来看,4种酒从高到低依次为高度白酒(64.9%)、低度白酒(57.3%)、葡萄酒(47.9%)和啤酒(36.1%);男性高于女性(男性低度白酒、高度白酒、啤酒、葡萄酒饮酒频率≥1次/周的比例依次为62.8%、67.8%、42.0%和59.7%,女性依次为25.8%、33.3%、15.3%和20.5%),低、高度白酒以45~岁组最高(低、高度白酒饮酒频率≥1次/周的比例依次为65.2%、73.6%),其次是60~岁组(低、高度白酒饮酒频率≥1次/周的比例依次为61.5%、70.2%),而啤酒、葡萄酒年龄组差异均无统计学意义(P>0.05);城乡中低度白酒、啤酒、葡萄酒均以静海县(低度白酒、啤酒、葡萄酒饮酒频率≥1次/周的比例依次为74.7%、54.3%、87.5%)为最高,高度白酒城乡间差异无统计学意义(P>0.05)。结论天津人群中饮酒是一种普遍的行为,并呈现快速增长趋势,需要进一步探索影响因素,并制定相关政策与重点人群干预措施,控制饮酒行为,减少饮酒相关问题的发生。 Objective To understand the status quo of alcohol consumption in ≥15 years old population in Tianjin and provide a scientific basis for formulating relevant policies and interventions. Methods Based on the multistage stratified cluster random sampling method adopted in 2010-2012 to monitor the nutritional and health status of Chinese residents, Hexi District, Beichen District and Jinghai County were selected as the monitoring points for large cities, small cities and rural areas, each A total of 6 households (village) committees were drawn from each of the monitoring sites, and 75 households were selected from each village (village) committee. Household members aged 15 and over who had complete survey data from part of their meals and drinking were selected as the respondents for a total of 3 137 People, analyze the prevalence and characteristics of their drinking behavior. The t test, analysis of variance, rank sum test were used for statistical analysis of measurement data, and the statistical analysis of count data was carried out by χ 2 test or exact probability method. Results The present drinking rate, dangerous drinking rate and harmful drinking rate were 32.2%, 3.5% and 4.0% in Tianjin ≥15 years old respectively. The median daily alcohol intake (minimum to maximum) of drinkers was 29.26 (0.00 ~ 546.27) g. The male drinking rate, dangerous drinking rate, harmful drinking rate and alcohol intake were 55.9%, 7.4%, 8.5% and 19.00 (0.00 ~ 546.27) g respectively, which were significantly higher than those of women [12.6%, 0.2%, 0.3% and 0.43 (0.00 ~ 93.52) g], the differences were statistically significant (P <0.01). The residents of Beichen District now have the highest drinking rate (43.2%), dangerous drinking rate (4.9%) and harmful drinking rate (6.4%), while the residents in Jinghai County have the highest alcohol intake [22.00 (0.05-540.00) g] In the age group, the drinking rate (38.7%), dangerous drinking rate (5.5%), harmful drinking rate (6.5%) and alcohol intake [16.64 (0.00 ~ 546.27) g] The main types of alcohol consumption followed by low-grade liquor (19.3%), beer (17.2%), high liquor (11.7%) and wine (6.3%). According to the proportion of drinking frequency ≥1times / week, the four kinds of wine ranked as follows: high liquor (64.9%), low liquor (57.3%), wine (47.9%) and beer (62.8%, 67.8%, 42.0% and 59.7%, respectively) for women with low alcohol content, high alcohol content, beer and wine drinking frequency, followed by 25.8%, 33.3% and 15.3% for women 20.5%), the lowest and the highest level of liquor were the highest in 45 ~ age group (65.2% and 73.6% in low and high alcohol consumption frequency≥1 times / week), followed by 60 ~ ≥1 times / week, followed by 61.5%, 70.2% respectively), but there was no significant difference between beer and wine age groups (P> 0.05) White wine, beer, wine drinking frequency ≥ 1 times / week, followed by 74.7%, 54.3%, 87.5%) was the highest, there was no significant difference in the height of liquor between urban and rural areas (P> 0.05). Conclusions Drinking alcohol in Tianjin is a common behavior and presents a trend of rapid growth. It is necessary to further explore the influencing factors and formulate relevant policies and intervention measures for key populations to control alcohol consumption and reduce the incidence of alcohol related problems.