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The temporal relationship between per capita alcohol consumption and harm: A systematic review of time lag specifications in aggregate time series analyses
Abstract
Background Changes in per capita alcohol consumption are temporally linked to changes in rates of alcohol-related harm. Methodological approaches for analysing this relationship have been suggested, however, the problem of time lags is not well-addressed. This study provides a review of time lag specifications, looking at (a) time to first effect on harm, (b) time to full effect and (c) the functional form of the effect accumulation from first to full effect to inform modelling of the relationship between changes in aggregate alcohol consumption and changes in rates of harm.Methods Bibliographic databases were searched and citation and reference checking was used to identify studies. Included studies were time series analyses of the relationship between aggregated population alcohol consumption and rates of alcohol-related harms where time lag specifications had been derived or tested.Results 36 studies were included with liver cirrhosis, heart disease and suicide dominating the evidence base. For a large number of alcohol-related harms, no literature was identified. There was strong evidence of an immediate first effect following a change in consumption for most harms. Recommended lag specifications are proposed for a set of alcohol-attributable harms.Conclusions Research on time lag specifications is under-developed for most harms although we provide suggested specifications based on the findings of the review. Greater methodological attention needs to be given to the rationale for choosing or applying lag specifications and the inherent complexity of the time lag process. More consistent and transparent reporting of methodological decisions would aide progress in the field.
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“However, current estimates of the number of cancer cases and cancer deaths caused by alcohol are limited due to the inability to incorporate biological latency which, for many cancer sites, can be 20 years or more 185, 186.”
From The relationship between different dimensions of alcohol use and the burden of disease—an update (2017) · cites this paper as [185]
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Metadata
- Authors
- Holmes, J., Meier, P. S., Booth, A., Guo, Y., & Brennan, A.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Holmes, John
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 123
- Issue
- 1-3
- Pages
- 7-14
- ISSN
- 0376-8716 (ISSN-L)
- OpenAlex
- W2025922890
- Cited by
- 112
- References
- 52
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 8 · 2023: 6 · 2022: 8 · 2021: 12 · 2020: 7 · 2019: 3 · 2018: 7 · 2017: 7 · 2016: 4 · 2015: 10 · 2014: 14 · 2013: 10
- FWCI
- 0.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug and Alcohol Dependence (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Public Health Policies and Epidemiology
- Keywords
- per capita alcohol consumption, alcohol-related harm, lagged effects, liver cirrhosis, heart disease, suicide, alcohol policy evaluation
- MeSH terms
- Alcohol Drinking, Epidemiologic Methods, Heart Diseases, Humans, Liver Cirrhosis, Alcoholic, Suicide, Time Factors
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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