Approaches to triangulation of alcohol data in Scotland

Commentary on Rehm et al

Bibliographic Data

ID21597539
AuthorsMark Robinson (0000-0003-4911-7106, Institute for Social Science Research University of Queensland Brisbane Australia, corresponding author), Eliud Kibuchi (0000-0002-5091-6450, Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit University of Glasgow Glasgow United Kingdom), Linsay Gray (0000-0002-6918-5037, Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit University of Glasgow Glasgow United Kingdom), Gerry Mccartney (0000-0001-6341-3521, Public Health Scotland, Meridian Court Glasgow UK)
Year2021
Volume40
Issue2
Pages173-175
Publication date2021-02-01
Open AccessYes
TypeARTICLE
VenueDrug and Alcohol Review (JOURNAL)
Journal identifiersISSN: 0959-5236 • E-ISSN: 1465-3362
PublisherWiley (PUBLISHER • GB)
DOI10.1111/dar.13164
PMID32959417
OpenAlexW3087037786
LanguageEN
Citations received1
References cited9

Rehm et al . highlight the ongoing difficulties in accurately estimating alcohol consumption using surveys. Population surveys, in particular, suffer from non‐response and sampling bias, which affects their representativeness, but they are one of the few ways of estimating differences in consumption across population subgroups. In this article, we highlight different approaches that have been taken in Scotland to try to overcome these problems, from the pragmatic to the sophisticated

Alcohol · Alcohol consumption · Cartography · Econometrics · Geography · Population · Representativeness heuristic · Social science · Sociology · Statistics · Triangulation · Alcohol Consumption and Health Effects · Chemistry · Computer Science · Demography · Health disparities and outcomes · Mathematics · Psychology · Substance Abuse Treatment and Outcomes

Tools

Open DOI