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Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study

BACKGROUND: Little is known about factors that influence participation in smoking cessation trials among Chinese populations. The aim of this study is to explore the characteristics of individuals who chose to participate and those who chose not to participate in a proactive telephone-based acceptan...

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Autores principales: Mak, Yim Wah, Lee, Paul H., Loke, Alice Yuen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690222/
https://www.ncbi.nlm.nih.gov/pubmed/26701301
http://dx.doi.org/10.1186/s12889-015-2650-0
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author Mak, Yim Wah
Lee, Paul H.
Loke, Alice Yuen
author_facet Mak, Yim Wah
Lee, Paul H.
Loke, Alice Yuen
author_sort Mak, Yim Wah
collection PubMed
description BACKGROUND: Little is known about factors that influence participation in smoking cessation trials among Chinese populations. The aim of this study is to explore the characteristics of individuals who chose to participate and those who chose not to participate in a proactive telephone-based acceptance and commitment therapy program for smoking cessation within a Chinese sample, and to identify predictors of program participation. Understanding the factors that predict participation in smoking cessation trials may allow researchers and healthcare professionals to target their recruitment efforts to increase the enrollment of smokers in smoking cessation programs. METHODS: Participants were proactively recruited from six primary healthcare centers. Current cigarette smokers were screened for eligibility and then invited to complete a baseline questionnaire for the trial. The differences in characteristics between participants and non-participants as well as factors predictive of participation were analyzed using Chi-square tests and logistics regression. RESULTS: A total of 30,784 clinic attendees were approached. From these, 3,890 (12.6 %) smokers were screened and identified. Of the 3,890 smokers, 420 (10.8 %) were eligible to participate and completed the baseline questionnaires. The analysis showed that participants (n = 142) and non-participants (n = 278) differed significantly in terms of demographics, smoking-related, and psychological variables. The following characteristics were found to predict program participation: those with a relatively high level of dependence on nicotine (OR = 3.75; 95 % CI = 1.25–11.23), those in the contemplation (OR = 7.86; 95 % CI = 2.90–21.30) or preparation (OR = 24.81; 95 % CI = 8.93–68.96) stages of change, and those who had abstained for one month or less in a previous attempt at quitting (OR = 3.77; 95 % CI = 1.68–8.47). CONCLUSIONS: The study shed light on the factors predictive of participation in a counseling-based smoking cessation program among a Chinese population. The results were encouraging, as most significant predictors (e.g., nicotine dependence, stage of change in smoking cessation) can be feasibly addressed or modified with interventions. No significant predictive relationships were found between psycho-social variables or socio-demographic variables and participation. Efforts should be made to increase the enrollment of smokers who are seemingly not yet ready to quit, and to tailor the program to fit the program’s participants.
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spelling pubmed-46902222015-12-25 Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study Mak, Yim Wah Lee, Paul H. Loke, Alice Yuen BMC Public Health Research Article BACKGROUND: Little is known about factors that influence participation in smoking cessation trials among Chinese populations. The aim of this study is to explore the characteristics of individuals who chose to participate and those who chose not to participate in a proactive telephone-based acceptance and commitment therapy program for smoking cessation within a Chinese sample, and to identify predictors of program participation. Understanding the factors that predict participation in smoking cessation trials may allow researchers and healthcare professionals to target their recruitment efforts to increase the enrollment of smokers in smoking cessation programs. METHODS: Participants were proactively recruited from six primary healthcare centers. Current cigarette smokers were screened for eligibility and then invited to complete a baseline questionnaire for the trial. The differences in characteristics between participants and non-participants as well as factors predictive of participation were analyzed using Chi-square tests and logistics regression. RESULTS: A total of 30,784 clinic attendees were approached. From these, 3,890 (12.6 %) smokers were screened and identified. Of the 3,890 smokers, 420 (10.8 %) were eligible to participate and completed the baseline questionnaires. The analysis showed that participants (n = 142) and non-participants (n = 278) differed significantly in terms of demographics, smoking-related, and psychological variables. The following characteristics were found to predict program participation: those with a relatively high level of dependence on nicotine (OR = 3.75; 95 % CI = 1.25–11.23), those in the contemplation (OR = 7.86; 95 % CI = 2.90–21.30) or preparation (OR = 24.81; 95 % CI = 8.93–68.96) stages of change, and those who had abstained for one month or less in a previous attempt at quitting (OR = 3.77; 95 % CI = 1.68–8.47). CONCLUSIONS: The study shed light on the factors predictive of participation in a counseling-based smoking cessation program among a Chinese population. The results were encouraging, as most significant predictors (e.g., nicotine dependence, stage of change in smoking cessation) can be feasibly addressed or modified with interventions. No significant predictive relationships were found between psycho-social variables or socio-demographic variables and participation. Efforts should be made to increase the enrollment of smokers who are seemingly not yet ready to quit, and to tailor the program to fit the program’s participants. BioMed Central 2015-12-23 /pmc/articles/PMC4690222/ /pubmed/26701301 http://dx.doi.org/10.1186/s12889-015-2650-0 Text en © Mak et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mak, Yim Wah
Lee, Paul H.
Loke, Alice Yuen
Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title_full Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title_fullStr Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title_full_unstemmed Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title_short Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study
title_sort predictors of participation in a telephone-based acceptance and commitment therapy for smoking cessation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690222/
https://www.ncbi.nlm.nih.gov/pubmed/26701301
http://dx.doi.org/10.1186/s12889-015-2650-0
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