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Commentary on Meng etal. (2014): Diverging alcohol consumption across populations-issues for policy and intervention

机译:萌素评论。 (2014):跨越人口的饮酒消费 - 政策和干预的问题

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摘要

Meng and colleagues [1] provide a detailed exploration of alcohol consumption trends in the British general population over a 25-year period, taking into account gender differences in age, period and cohort effects. Using time-series modelling to understand drinking patterns more clearly is essential in identifying risky alcohol consumption, and also anticipating and responding to changing patterns of acute and chronic alcohol-related harms over time. In developed countries, alcohol-related harms are increasing in the context of apparently stable alcohol consumption levels within the general population [2-5]. There are several potential explanations for these divergent trends. Alcohol consumption surveys are limited by poor response rates, meaning that inherent differences between participants and those who decline can mask the true consumption patterns within the community [6]. Also, routine data collection practices, using home telephones and home drop-and-collect methodology, are barriers to recruitment of hard-to-reach populations, such as homeless and institutionalized people, culturally and linguistically diverse populations and other disadvantaged groups [6].
机译:孟及同事[1]在25年期间,对英国一般人群的酒精消费趋势进行了详细探索,同时考虑到年龄,期间和队列效应的性别差异。使用时间序列建模来了解饮酒模式更清楚,在识别风险饮酒消费方面是必不可少的,以及随着时间的推移,预期和应对与急性和慢性酒精有关的危害的变化模式。在发达国家,酗酒有关的危害在一般人群中明显稳定的酒精消费水平的背景下正在增加[2-5]。这些不同趋势有几个潜在的解释。酒精消费调查受到较差率的限制,这意味着参与者之间的固有差异和拒绝可以掩盖社区内的真正消费模式的人[6]。此外,使用家庭电话和家庭辍学方法的日常数据收集实践是招聘难以达到的人群的障碍,例如无家可归者和制度化的人,文化和语言和语言不同的人口和其他弱势群体[6] 。

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