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

ABSTRACT:

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;

SUBMITTER: Beard E 

PROVIDER: S-EPMC7004132 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature