Evidence map›Paper›PMID 27724901›Full record

ArticleBMC public health2016

Trend in alcohol use in Australia over 13 years: has there been a trend reversal?

Gary C K Chan, Janni K Leung, Catherine Quinn, Jason P Connor, Leanne Hides, Matthew J Gullo, Rosa Alati, Megan Weier, Adrian B Kelly, Wayne D Hall

Abstract read
In one paragraph

Article in BMC public health, 2016. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Mapping Problematic Drinking Trends over Time in Urban, Semi-Urban, and Rural Populations.International journal of environmental research and public health · 2022
    Article
  3. Article
  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

10 authors.

Gary C K ChanCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia. c.chan4@uq.edu.au.
Janni K LeungPolicy and Epidemiology Group, Queensland Centre for Mental Health Research, Brisbane, Australia.
Catherine QuinnCentre for Youth Substance Abuse Research, Queensland University of Technology, Brisbane, Australia.
Jason P ConnorCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.
Leanne HidesCentre for Youth Substance Abuse Research, Queensland University of Technology, Brisbane, Australia.
Matthew J GulloCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.
Rosa AlatiCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.
Megan WeierCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.
Adrian B KellyCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.
Wayne D HallCentre for Youth Substance Abuse Research, The University of Queensland, Brisbane, QLD, 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkog's collectivity theory of alcohol consumption predicted that changes in alcohol consumption would synchronize across all types of drinkers in a population. The aim of this paper is examine this theory in the Australian context. We examined whether there was a collective change in alcohol use in Australia from 2001 to 2013, estimated alcohol consumption in non-high risk and high risk drinkers, and examined the trends in alcohol treatment episodes.

methodsData from the 2001-2013 National Drug Strategy Household Surveys (N = 127,916) was used to estimate the prevalence and alcohol consumption of abstainers, high risk drinkers and frequent heavy episodic drinkers. Closed treatment episodes recorded in the Alcohol and Other Drug Treatment Services National Minimum Dataset (N = 608,367) from 2001 to 2013 were used to examine the trends of closed alcohol treatment episodes.

resultsThe prevalence of non-drinkers (abstainers) decreased to the lowest level in 2004 (15.3 %) and rebounded steadily thereafter (20.4 % in 2013; p < .001). Correspondingly, the per capita consumption of high risk drinkers (2 standard drinks or more on average per day) increased from 20.7 L in 2001 to peak in 2010 (21.5 L; p = .020). Non-high risk drinkers' consumption peaked in 2004 (2.9 L) and decreased to 2.8 L in 2013 (p < .05). There were decreases in alcohol treatment episodes across nearly all birth cohorts in recent years.

conclusionThese findings are partially consistent with and support Skog's collectivity theory. There has been a turnaround in alcohol consumption after a decade-long uptrend, as evident in the collective decreases in alcohol consumption among nearly all types of drinkers. There was also a turnaround in rate of treatment seeking, which peaked at 2007 and then decreased steadily. The timing of this turnaround differs with level of drinking, with non-high risk drinkers reaching its peak consumption in 2004 and high risk drinkers reaching its peak consumption in 2010.

Indexed as

AdultAlcohol DrinkingAlcohol-Related DisordersAustraliaFamily CharacteristicsFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceAlcoholDrinkingEpidemiologyprevalenceTrend

Identifiers

PMID27724901
PMCPMC5057497

What OpenQuestion holds

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LicenceCC BY
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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.