Age, period, and cohort effects in heavy episodic drinking in the US from 1985 to 2009.

Age, period, and cohort effects in heavy episodic drinking in the US from 1985 to 2009.
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DOI:
10.1016/j.drugalcdep.2013.01.019
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发表时间:
2013-09-01
影响因子:
4.2
通讯作者:
Miech R
Miech R
中科院分区:
医学2区
文献类型:
--
作者:
Keyes KM;Miech R

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根据年龄、时期和队列评估人群水平的间歇性重度饮酒模式,对于了解人群水平对长期饮酒率的影响以及预测公共卫生规划工作的未来趋势至关重要。本研究调查了1985年至2009年间美国青少年和成年人重度间歇性饮酒的趋势。数据来自美国家庭的重复横断面调查,作为1985年、1988年以及1990年至2009年(含2009年)进行的全国吸毒和健康家庭调查的一部分(N = 809,281)。重度间歇性饮酒被定义为在过去一个月里一次饮用五杯或五杯以上的情况。使用固有估计算法识别年龄-时期-队列模型。在美国,青少年和年轻人的严重间歇性饮酒正在减少,最近出生的人群(90年代出生)与60年代、70年代和80年代出生的人群相比,严重间歇性饮酒的几率较低。结果在性别和种族/民族之间是一致的,除了西班牙裔中下降不明显。这些数据是有希望的,因为年轻人群似乎正在减少大量间歇性饮酒,然而西班牙裔人群中缺乏减少,这表明有针对性的干预和预防以及加强监测是必要的。
Evaluating population-level patterns of heavy episodic drinking by age, period, and cohort is critical to understanding population-level influences on rates over time and to forecasting future trends for public health planning efforts. The present study examined trends in heavy episodic drinking in the US from 1985 through 2009 in a nationally representative sample that included adolescents and adults. Data are drawn from repeated cross-sectional surveys of US households as part of the National Household Survey on Drug Use and Health conducted in 1985, 1988, and annually from 1990 though 2009, inclusive (N = 809,281). Heavy episodic drinking was defined as any instance of consuming five or more drinks in one sitting in the past month. Age–period–cohort models were identified using the Intrinsic Estimator algorithm. Heavy episodic drinking is decreasing in the US among adolescents and young adults, with the most recently born cohorts (born in the 1990s) at lower odds of heavy episodic drinking compared with cohorts born in the 1960s, 1970s, and 1980s. Results were consistent across sex and race/ethnicity, with the exception that the decrease is not apparent among Hispanics. These data are promising in that young cohorts appear to be reducing heavy episodic drinking, however the lack of decrease among Hispanics suggests targeted intervention and prevention as well as increased surveillance are necessary.