Causality and initiation of alcohol control policy. A response to Allamani

被引:1
|
作者
Rehm, Juergen [1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,9 ]
Purshouse, Robin C. [10 ]
机构
[1] Ctr Addict & Mental Hlth, Inst Mental Hlth Policy Res, Toronto, ON, Canada
[2] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
[3] Ctr Addict & Mental Hlth, Campbell Family Mental Hlth Res Inst, Toronto, ON, Canada
[4] Tech Univ Dresden, Inst Clin Psychol & Psychotherapy, Dresden, Germany
[5] Tech Univ Dresden, Ctr Clin Epidemiol & Longitudinal Studies, Dresden, Germany
[6] Univ Toronto, Dept Psychiat, Toronto, ON, Canada
[7] IM Sechenov First Moscow State Med Univ, Inst Leadership & Hlth Management, Dept Int Hlth Projects, Moscow, Russia
[8] Agencia Salut Publ Catalunya, Barcelona, Spain
[9] Univ Med Ctr Hamburg Eppendorf, Dept Psychiat & Psychotherapy, Ctr Interdisciplinary Addict Res, Hamburg, Germany
[10] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield, S Yorkshire, England
基金
美国国家卫生研究院;
关键词
alcohol; causality; probabilistic; alcohol control policy; BURDEN;
D O I
10.1111/dar.13371
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
In a recent commentary, Allamani asked how one can establish causality in epidemiological research, and specifically about causality as it relates to alcohol control policy. Epidemiology customarily uses a sufficient-component cause model, where a sufficient cause for an outcome is determined by a set of minimal conditions and events that inevitably produce the stated outcome. While this model is theoretically clear, its operationalisation often involves probabilistic elements. Recent advances in agent-based modelling may improve operationalisation. The implications for alcohol control policy from this model are straightforward: the so-called alcohol-attributable fraction denotes the cases of morbidity or mortality which would not have happened in the absence of alcohol use.
引用
收藏
页码:1389 / 1391
页数:3
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