Behaviour change techniques associated with smoking cessation in intervention and comparator groups of randomized controlled trials: a systematic review and meta‐regression.
Saved in:
| Title: | Behaviour change techniques associated with smoking cessation in intervention and comparator groups of randomized controlled trials: a systematic review and meta‐regression. |
|---|---|
| Authors: | Black, Nicola (AUTHOR), Johnston, Marie (AUTHOR), Michie, Susan (AUTHOR), Hartmann‐Boyce, Jamie (AUTHOR), West, Robert (AUTHOR), Viechtbauer, Wolfgang (AUTHOR), Eisma, Maarten C. (AUTHOR), Scott, Claire (AUTHOR), Bruin, Marijn (AUTHOR) |
| Source: | Addiction. Nov2020, Vol. 115 Issue 11, p2008-2020. 13p. 1 Diagram, 3 Charts. |
| Subjects: | Behavior therapy, Drug addiction, Mental health, Nicotine, Regression analysis, Smoking cessation, Systematic reviews |
| Abstract: | Aims: To estimate the strengths of associations between use of behaviour change techniques (BCTs) and clusters of BCTs in behavioural smoking cessation interventions and comparators with smoking cessation rates. Method: Systematic review and meta‐regression of biochemically verified smoking cessation rates on BCTs in interventions and comparators in randomized controlled trials, adjusting for a priori‐defined potential confounding variables, together with moderation analyses. Studies were drawn from the Cochrane Tobacco Addiction Group Specialised Register. Data were extracted from published and unpublished (i.e. obtained from study authors) study materials by two independent coders. Adequately described intervention (k = 143) and comparator (k = 92) groups were included in the analyses (n = 43 992 participants). Using bivariate mixed‐effects meta‐regressions, while controlling for key a priori confounders, we regressed smoking cessation on (a) three BCT groupings consistent with dual‐process theory (i.e. associative, reflective motivational and self‐regulatory), (b) 17 expert‐derived BCT groupings (i.e. BCT taxonomy version 1 clusters) and (c) individual BCTs from the BCT taxonomy version 1. Results: Among person‐delivered interventions, higher smoking cessation rates were predicted by BCTs targeting associative and self‐regulatory processes (B = 0.034, 0.041, P < 0.05), and by three individual BCTs (prompting commitment, social reward, identity associated with changed behaviour). Among written interventions, BCTs targeting taxonomy cluster 10a (rewards) predicted higher smoking cessation (B = 0.394, P < 0.05). Moderation effects were observed for nicotine dependence, mental health status and mode of delivery. Conclusions: Among person‐delivered behavioural smoking cessation interventions, specific behaviour change techniques and clusters of techniques are associated with higher success rates. [ABSTRACT FROM AUTHOR] |
| Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Aims: To estimate the strengths of associations between use of behaviour change techniques (BCTs) and clusters of BCTs in behavioural smoking cessation interventions and comparators with smoking cessation rates. Method: Systematic review and meta‐regression of biochemically verified smoking cessation rates on BCTs in interventions and comparators in randomized controlled trials, adjusting for a priori‐defined potential confounding variables, together with moderation analyses. Studies were drawn from the Cochrane Tobacco Addiction Group Specialised Register. Data were extracted from published and unpublished (i.e. obtained from study authors) study materials by two independent coders. Adequately described intervention (k = 143) and comparator (k = 92) groups were included in the analyses (n = 43 992 participants). Using bivariate mixed‐effects meta‐regressions, while controlling for key a priori confounders, we regressed smoking cessation on (a) three BCT groupings consistent with dual‐process theory (i.e. associative, reflective motivational and self‐regulatory), (b) 17 expert‐derived BCT groupings (i.e. BCT taxonomy version 1 clusters) and (c) individual BCTs from the BCT taxonomy version 1. Results: Among person‐delivered interventions, higher smoking cessation rates were predicted by BCTs targeting associative and self‐regulatory processes (B = 0.034, 0.041, P < 0.05), and by three individual BCTs (prompting commitment, social reward, identity associated with changed behaviour). Among written interventions, BCTs targeting taxonomy cluster 10a (rewards) predicted higher smoking cessation (B = 0.394, P < 0.05). Moderation effects were observed for nicotine dependence, mental health status and mode of delivery. Conclusions: Among person‐delivered behavioural smoking cessation interventions, specific behaviour change techniques and clusters of techniques are associated with higher success rates. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 09652140 |
| DOI: | 10.1111/add.15056 |
