ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020
Trends in Attempts to Quit Smoking in England Since 2007: A Time Series Analysis of a Range of Population-Level Influences.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and network meta-analysis of population-level interventions to tackle smoking behaviour.Nature human behaviour · 2024Pooled it
- Correlations Between the DMN and the Smoking Cessation Outcome of a Real-Time fMRI Neurofeedback Supported Exploratory Therapy Approach: Descriptive Statistics on Tobacco-Dependent Patients.Clinical EEG and neuroscience · 2022Trial
- Sample size requirements to evaluate policies in addiction research using interrupted time series analysis (ITS): Tools and guidance.Addiction (Abingdon, England) · 2026Article
- Associations between non-daily smoking and motivation to stop smoking: A population study in England 2021-2024.Addiction (Abingdon, England) · 2025Observational
- Contribution of smoking to the global burden of bladder cancer from 1990 to 2021 and projections to 2046.Tobacco induced diseases · 2025Article
- Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).BMC medicine · 2024Article
- Associations of Prevalence of E-cigarette Use With Quit Attempts, Quit Success, Use of Smoking Cessation Medication, and the Overall Quit Rate Among Smokers in England: A Time-Series Analysis of Population Trends 2007-2022.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Attitudes towards the integration of smoking cessation into lung cancer screening in the United Kingdom: A qualitative study of individuals eligible to attend.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- England SimSmoke: the impact of nicotine vaping on smoking prevalence and smoking-attributable deaths in England.Addiction (Abingdon, England) · 2021Article
- If at First You Don't Try ….Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Article
- Long-term evaluation of the rise in legal age-of-sale of cigarettes from 16 to 18 in England: a trend analysis.BMC medicine · 2020Article
- Smoking Cessation Attempts and Common Strategies Employed.Deutsches Arzteblatt international · 2020Article
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
Abstract
aimTo quantify population-level associations between quit attempts and factors that have varied across 2007-2017 in England.
methodsData from 51 867 past-year smokers participating in the Smoking Toolkit Study (a monthly cross-sectional survey of individuals aged 16+) were aggregated over an 11-year period. Time series analysis was undertaken using ARIMAX modeling. The input series were: (1) prevalence of smoking reduction using (a) e-cigarettes and (b) nicotine replacement therapy; (2) prevalence of roll-your-own tobacco use; (3) prevalence of (a) smoking and (b) non-daily smoking; (4) mass media expenditure; (5) average expenditure on smoking; (6) characteristics in the form of (a) prevalence of high motivation to quit, (b) average age, (c) proportion from lower social grades, and (d) average number of cigarettes smoked; and (7) implementation of tobacco control policies.
resultsThere was a decline in the prevalence of quit attempts from 44.6% to 33.8% over the study period. The partial point-of-sale ban was associated with a temporary increase in quit attempt prevalence (Badjusted = 0.224%; 95% confidence interval [CI] 0.061 to 0.388). Quit attempts were positively associated with the prevalence of high motivation to quit (Badjusted = 0.165%;95% CI 0.048 to 0.282) and negatively associated with the mean age of smokers (Badjusted = -1.351%; 95% CI -2.168 to -0.534). All other associations were nonsignificant.
conclusionIncreases in the prevalence of high motivation to quit was associated with higher prevalence of attempts to quit smoking, while an increase in the mean age of smokers was associated with lower prevalence. The introduction of the partial point-of-sale ban appeared to have a temporary positive impact. IMPLICATIONS: This study provides insight into how monthly changes in a wide range of population-level factors are associated with changes in quit attempts over an extended time period in a country with a strong tobacco control climate. The findings suggest a need for intervention or policy to stimulate quit attempts in older smokers. Otherwise, increases in the mean age of a smokers appears likely to undermine wider efforts to promote quit attempts in a population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.