Cargando…

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

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 we...

Descripción completa

Detalles Bibliográficos
Autores principales: Beard, Emma, Jackson, Sarah E., West, Robert, Kuipers, Mirte A. G., Brown, Jamie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004132/
https://www.ncbi.nlm.nih.gov/pubmed/31626370
http://dx.doi.org/10.1111/add.14837
_version_ 1783494669662945280
author Beard, Emma
Jackson, Sarah E.
West, Robert
Kuipers, Mirte A. G.
Brown, Jamie
author_facet Beard, Emma
Jackson, Sarah E.
West, Robert
Kuipers, Mirte A. G.
Brown, Jamie
author_sort Beard, Emma
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7004132
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-70041322020-02-11 Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis Beard, Emma Jackson, Sarah E. West, Robert Kuipers, Mirte A. G. Brown, Jamie Addiction Research Reports 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. John Wiley and Sons Inc. 2019-12-01 2020-02 /pmc/articles/PMC7004132/ /pubmed/31626370 http://dx.doi.org/10.1111/add.14837 Text en © 2019 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Reports
Beard, Emma
Jackson, Sarah E.
West, Robert
Kuipers, Mirte A. G.
Brown, Jamie
Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title_full Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title_fullStr Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title_full_unstemmed Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title_short Population‐level predictors of changes in success rates of smoking quit attempts in England: a time series analysis
title_sort population‐level predictors of changes in success rates of smoking quit attempts in england: a time series analysis
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004132/
https://www.ncbi.nlm.nih.gov/pubmed/31626370
http://dx.doi.org/10.1111/add.14837
work_keys_str_mv AT beardemma populationlevelpredictorsofchangesinsuccessratesofsmokingquitattemptsinenglandatimeseriesanalysis
AT jacksonsarahe populationlevelpredictorsofchangesinsuccessratesofsmokingquitattemptsinenglandatimeseriesanalysis
AT westrobert populationlevelpredictorsofchangesinsuccessratesofsmokingquitattemptsinenglandatimeseriesanalysis
AT kuipersmirteag populationlevelpredictorsofchangesinsuccessratesofsmokingquitattemptsinenglandatimeseriesanalysis
AT brownjamie populationlevelpredictorsofchangesinsuccessratesofsmokingquitattemptsinenglandatimeseriesanalysis