Evidence map›Paper›PMID 40826918›Full record

ArticleDrug and alcohol review2025

Survey Questions on Quantity and Frequency Are Differentially Effective by Age in Predicting Future Alcohol Consumption.

Sarah Callinan, Simon D'Aquino, Ben Riordan, Jonas Raninen, Michael Livingston, Paul M Dietze, Gerhard Gmel, Robin Room

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

8 authors.

Sarah CallinanCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0003-4146-1244
Simon D'AquinoCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.
Ben RiordanCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0002-7805-0652
Jonas RaninenDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6938-0246
Michael LivingstonCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.
Paul M DietzeDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7871-6234
Gerhard GmelAddiction Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Robin RoomCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0002-5618-385X

Funding

Australian Research Council FT210100656National Health and Medical Research Council 1136090
6 · The paper itself

Abstract

introductionCross sectional research has demonstrated that screening tool questions on frequency of alcohol consumption are a better predictor of dependence and harmful drinking in younger adults; questions about quantity per occasion are a better predictor in older adults. The aim of this study is to see if this relationship also holds longitudinally.

methodsA total of 9076 respondents aged 15 and over completed at least two waves of the longitudinal annual Household Income and Labour Dynamics in Australia survey 10 years apart between 2001-2010 and 2012-2020. Standardised scores from responses to questions on drinking quantity and frequency in the first survey were used to predict consumption 10 years later in groups stratified by age.

resultsFrequency of consumption was a significantly better predictor of future consumption than quantity in younger drinkers (aged < 36; β = 9.3, 95% confidence interval [CI] 8.6-10.0), than older drinkers (aged > 49; β = 5.1, 95% CI 4.8-5.5) while quantity was a better predictor in older drinkers (β = 8.2, 95% CI 7.2-9.3) than younger drinkers (β = 3.4, 95% CI 3.1-3.7). DISCUSSION AND

conclusionsSome commonly used screening items, such as drinking quantity and frequency, are differentially effective at identifying future heavy drinkers between age groups. Development of age-specific screening tools could potentially lead to more accurate identification of people who could benefit from intervention to reduce their alcohol consumption.

Indexed as

Alcohol DrinkingAdolescentAdultAgedAge FactorsAustraliaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesYoung AdultalcoholAUDITlongitudinal

Identifiers

PMID40826918
PMCPMC12581926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.