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Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
Author(s) -
Beard Emma,
Jackson Sarah E.,
West Robert,
Kuipers Mirte A. G.,
Brown Jamie
Publication year - 2020
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/add.14837
Subject(s) - tobacco control , medicine , nicotine replacement therapy , demography , medical prescription , quit smoking , harm reduction , smoking cessation , confidence interval , population , nicotine , smoking prevalence , interrupted time series , environmental health , psychological intervention , public health , psychiatry , nursing , pathology , pharmacology , sociology
Aims To quantify associations between the success of smoking quit attempts and factors that have varied throughout 2007–2018 at a population level. Design time series analysis using Autoregressive Integrated Moving Average with Exogeneous Input (ARIMAX) modelling. Setting and Participants Data 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. Findings The 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. Conclusion In 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.