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


Journal

Drug and alcohol review
ISSN: 1465-3362
Titre abrégé: Drug Alcohol Rev
Pays: Australia
ID NLM: 9015440

Informations de publication

Date de publication:
11 2021
Historique:
revised: 21 07 2021
received: 07 07 2021
accepted: 21 07 2021
pubmed: 5 8 2021
medline: 1 4 2022
entrez: 4 8 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34347331
doi: 10.1111/dar.13371
pmc: PMC8963927
mid: NIHMS1785027
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1389-1391

Subventions

Organisme : NIAAA NIH HHS
ID : R01 AA024443
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA028224
Pays : United States
Organisme : NIAAA NIH HHS
ID : 1R01AA024443
Pays : United States

Informations de copyright

© 2021 Australasian Professional Society on Alcohol and other Drugs.

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Auteurs

Jürgen Rehm (J)

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
Institute of Clinical Psychology and Psychotherapy and Center of Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Dresden, Germany.
Department of Psychiatry, University of Toronto, Toronto, Canada.
Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Agència de Salut Pública de Catalunya, Barcelona, Spain.
Center for Interdisciplinary Addiction Research, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Robin C Purshouse (RC)

Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.

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Classifications MeSH