Evidence map›Paper›PMID 32690733›Full record

ArticleBMJ open2020

Are population trends in high-risk alcohol consumption in smokers associated with trends in quit attempts and quit success? A time-series analysis.

Emma Beard, Jamie Brown, Robert West, Susan Michie

Abstract read
In one paragraph

Article in BMJ open, 2020. 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

4 authors.

Emma BeardResearch Department of Behavioural Science and Health, University College London, London, UK e.beard@ucl.ac.uk.ORCID 0000-0001-8586-1261
Jamie BrownResearch Department of Behavioural Science and Health, University College London, London, UK.
Robert WestResearch Department of Behavioural Science and Health, University College London, London, UK.
Susan MichieClinical, Educational and Health Psychology, University College London, London, UK.

Funding

Cancer Research UK 22962Cancer Research UK C1417/A14135Cancer Research UK C36048/A11654Cancer Research UK C44576/A19501
6 · The paper itself

Abstract

objectivesMonthly changes in the prevalence of high-risk drinking and smoking in England appear to be positively correlated. This study aimed to assess how far monthly changes in high-risk drinking were specifically associated with attempts to stop smoking and the success of quit attempts.

designData were used from the Alcohol and Smoking Toolkit Studies between April 2014 and June 2018. These involve monthly household face-to-face surveys of representative samples of ~1800 adults.

settingEngland.

participantsData were aggregated on 17 560 past-year smokers over the study period. PRIMARY AND SECONDARY OUTCOME MEASURES: Autoregressive integrated moving average with exogenous input (ARIMAX) modelling was used to assess the association over time between monthly prevalence of high-risk drinking among smokers and (a) prevalence of attempts to quit smoking and (b) prevalence of successful quit attempts in those attempting to quit. Bayes factors (BF) were calculated to compare the null hypothesis with the hypothesis of an effect sufficiently large (β=0.6) to explain the established association between overall prevalence in smoking and high-risk drinking.

resultsNo statistically significant associations were found between monthly changes in prevalence of high-risk drinking among smokers and attempts to quit smoking (β=0.156, 95% CI -0.079 to 0.391, p=0.194) or quit success (β=0.066, 95% CI -0.524 to 0.655, p=0.827). BF indicated that the data were insensitive but suggested there is weak evidence for the null hypothesis in the case of both quit attempts (BF=0.80) and quit success (BF=0.53).

conclusionsMonthly changes in prevalence of high-risk alcohol consumption in England are not clearly associated with changes in quit attempt or quit success rates.

Indexed as

AdolescentAdultAgedAlcohol DrinkingCross-Sectional StudiesEnglandFemaleHumansInterviews as TopicMaleMiddle AgedPrevalenceSmokersSmoking CessationYoung Adultalcoholhigh-risk drinkingquit attemptstime-seriestobacco

Identifiers

PMID32690733
PMCPMC7375511

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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.