Evidence map›Paper›PMID 31626370›Full record

ArticleAddiction (Abingdon, England)2020

Population-level predictors of changes in success rates of smoking quit attempts in England: a time series analysis.

Emma Beard, Sarah E Jackson, Robert West, Mirte A G Kuipers, Jamie Brown

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Predictors of Smoking Cessation Attempts and Success Following Motivation-Phase Interventions Among People Initially Unwilling to Quit Smoking.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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  12. US Nicotine Vaping ProductInternational journal of environmental research and public health · 2021
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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

5 authors at 2 institutions in 3 countries.

Emma BeardDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-8586-1261
Sarah E JacksonDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-5658-6168
Robert WestDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0001-6398-0921
Mirte A G KuipersDepartment of Behavioural Science and Health, University College London, London, UK.
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0002-2797-5428
University College London · GBDepartment of Public · IN

Funding

Cancer Research UK 22962Cancer Research UK 25747Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

aimsTo quantify associations between the success of smoking quit attempts and factors that have varied throughout 2007-2018 at a population level.

designtime series analysis using Autoregressive Integrated Moving Average with Exogeneous Input (ARIMAX) modelling. SETTING AND

participantsData were aggregated from 54 847 past-year smokers taking part in the Smoking Toolkit Study which involves monthly repeated cross-sectional household surveys of individuals aged 16+ in England. MEASUREMENTS: The input series were: (1) attempts at smoking reduction using (a) e-cigarettes and (b) nicotine replacement therapy (NRT); (2) use during a quit attempt of (a) e-cigarettes, (b) NRT over-the-counter, (c) medication on prescription and (d) face-to-face behavioural support; (3) use of roll-your-own tobacco; (4) prevalence of (a) smoking and (b) non-daily smoking; (5) tobacco control mass media expenditure; (6) expenditure on smoking; (7) smoker characteristics in the form of (a) high motivation to quit, (b) average age, (c) socio-economic status and (d) cigarette consumption; (8) implementation of tobacco control policies; and (9) quit attempt rate.

findingsThe licensing of NRT for harm reduction was associated with a 0.641% [95% confidence interval (CI) = 0.073-1.209, P = 0.027] increase in the mean point prevalence of the success rate of quit attempts. For every 1% increase in the mean point prevalence of e-cigarette use and use of prescription medication during a quit attempt, the mean point prevalence of successful quit attempts increased by 0.106% (95% CI = 0.011-0.201, P = 0.029) and 0.143% (95% CI = 0.009-0.279, P = 0.038), respectively. For every 1% increase in the mean expenditure on tobacco control mass media, the mean point prevalence of successful quit attempts increased by 0.046% (95% CI = 0.001-0.092, P = 0.046). Other associations were not statistically significant.

conclusionIn England between 2007 and 2018, licensing of nicotine replacement therapy for use in harm reduction, greater use of e-cigarettes and prescription medications during a quit attempt and higher expenditure on tobacco control mass media were all associated with higher success rates of quit attempts.

Indexed as

Guidelines as TopicAdultBehavior TherapyCross-Sectional StudiesElectronic Nicotine Delivery SystemsEnglandFemaleHumansInterrupted Time Series AnalysisMaleMass MediaModels, StatisticalPrevalenceSmoking CessationSmoking PreventionTobacco Use Cessation DevicesARIMAXe-cigarettesmass mediaNRTquit successtime seriestobacco

Identifiers

PMID31626370
PMCPMC7004132
OpenAlexW2980713082

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.