Evidence map›Paper›PMID 36206499›Full record

ArticleAddiction (Abingdon, England)2023

Age, period and cohort effects on alcohol-related risky behaviours in Australia from 2001 to 2016.

Wing See Yuen, Amy Peacock, Nicola Man, Sarah Callinan, Tim Slade, Michael Farrell, Richard Mattick, Michael Livingston

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. 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 at 4 institutions in 2 countries.

Wing See YuenNational Drug and Alcohol Research Centre, UNSW Sydney, Kensington, Australia.ORCID 0000-0002-2791-6858
Amy PeacockNational Drug and Alcohol Research Centre, UNSW Sydney, Kensington, Australia.ORCID 0000-0002-5705-2026
Nicola ManNational Drug and Alcohol Research Centre, UNSW Sydney, Kensington, Australia.
Sarah CallinanCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0003-4146-1244
Tim SladeThe Matilda Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-1725-9188
Michael FarrellNational Drug and Alcohol Research Centre, UNSW Sydney, Kensington, Australia.ORCID 0000-0001-7008-8130
Richard MattickNational Drug and Alcohol Research Centre, UNSW Sydney, Kensington, Australia.
Michael LivingstonCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.ORCID 0000-0002-8995-9386
Alcohol and Drug Foundation · AULa Trobe University · AUThe University of Sydney · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study is to examine age, period and birth cohort trends in the prevalence of any alcohol-related risky behaviour and to compare these trends between men and women. DESIGN AND

settingWe used an age-period-cohort analysis of repeated cross-sectional survey data from the Australian National Drug Strategy Household Survey from 2001 to 2016.

participantsParticipants were 121 281 people aged 14-80 years who reported consuming alcohol in the past 12 months. MEASUREMENTS: Any risky behaviour undertaken while under the influence of alcohol in the past 12 months (e.g. operating a motor vehicle) was measured: male or female.

findingsControlling for age and cohort, cubic spline models showed that any alcohol-related risky behaviour declined with time among participants who consumed alcohol [2016 versus 2007 rate ratio (RR) = 0.80, 95% confidence interval (CI) = 0.76-0.84]. Risky behaviour peaked in the 1954 birth cohort (1954 versus 1971 RR = 1.42, 95% CI = 1.30-1.55) and then steadily declined with more recent birth cohorts (2002 versus 1971 RR = 0.32, 95% CI = 0.27-0.39). Risky behaviour peaked at age 21 years, followed by steady decline and stabilization at approximately age 70 years. Males were overall twice as likely as females to report alcohol-related risky behaviour (RR = 2.10, 95% CI = 1.84-2.39), but this effect was smaller in cohorts born after 1980 [1980 prevalence rate ratios (PRR) = 2.09, 95% CI = 1.81-2.43; 2002 PRR = 1.31, 95% CI = 1.03-1.68].

conclusionsAlcohol-related risky behaviour in Australia has declined generally since 2001, with rates for recent cohorts having the sharpest decline. Risky behaviour remains most prevalent in young adults, and the male-female gap in risky behaviour is closing for more recent birth cohorts. These trends are consistent with alcohol consumption trends observed in Australia and world-wide.

Indexed as

Alcohol DrinkingAdultAustraliaCohort EffectCohort StudiesCross-Sectional StudiesFemaleHumansMaleYoung AdultAge-period-cohortalcoholalcohol-related harmgenderrisky behaviourtrends

Identifiers

PMID36206499
PMCPMC10952598
OpenAlexW4303457415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.