Evidence map›Paper›PMID 39667722›Full record

ArticleDrug and alcohol review2025

Is there a link between per capita alcohol consumption and cancer mortality?

Iman Dadgar, Thor Norström, Mats Ramstedt

Abstract read
In one paragraph

Article in Drug and alcohol review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Iman DadgarSwedish Institute for Social Research, Stockholm University, Stockholm, Sweden.
Thor NorströmSwedish Institute for Social Research, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-5746-7723
Mats RamstedtDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8783-116X

Funding

Systembolaget's Research Council 2020-0041
6 · The paper itself

Abstract

introductionA growing body of evidence has established alcohol consumption as a causative factor in an increasing array of cancer types, thereby positioning it as a leading global risk factor for cancer. Surprisingly, there is a scarcity of studies examining the extent to which shifts in population drinking affect cancer mortality, despite the substantial public health implications. This paper aims to: (i) estimate the impact of changes in per capita alcohol consumption on both overall cancer mortality rates and specific types of alcohol-related cancer; and (ii) assess whether the association between cancer and population alcohol consumption is influenced by a country's drinking patterns.

methodsWe used time-series data for 19 high-income countries spanning the period 1960-2018. Cigarette sales and GDP per capita were included as control variables. The data were analysed using first-difference modelling. The World Health Organization drinking patterns score was used to evaluate a country's drinking pattern.

resultsOur findings revealed that a 1 L per capita increase in alcohol consumption was associated with a 0.9% rise in total cancer mortality among women and a 1.1% increase among men. Notably, among men, the association was more pronounced for cancers with strong evidence of alcohol's effect and for prostate cancer. For women, the alcohol effect was statistically significant for breast cancer. Generally, the estimated alcohol effects were elevated in the country group with more harmful drinking patterns. DISCUSSION AND

conclusionsOur results indicate that lowering per capita alcohol consumption is likely to reduce cancer mortality.

Indexed as

Alcohol DrinkingNeoplasmsDeveloped CountriesFemaleGlobal HealthHumansMaleRisk Factorscancer mortalityper capita alcohol consumptiontime‐series analyses

Identifiers

PMID39667722
PMCPMC11814354

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.