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Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis

OBJECTIVE: Although many smoking cessation strategies have been implemented, only a few strategies at the population level are grounded in theory. Even in those interventions based on specific theories, most studies have focused only on the outcome. The main objective of this study was to demonstrat...

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Autores principales: Lin, Haoxiang, Chen, Meijun, Yun, Qingping, Zhang, Lanchao, Chang, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044871/
https://www.ncbi.nlm.nih.gov/pubmed/35473619
http://dx.doi.org/10.1186/s12889-022-13263-0
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author Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Zhang, Lanchao
Chang, Chun
author_facet Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Zhang, Lanchao
Chang, Chun
author_sort Lin, Haoxiang
collection PubMed
description OBJECTIVE: Although many smoking cessation strategies have been implemented, only a few strategies at the population level are grounded in theory. Even in those interventions based on specific theories, most studies have focused only on the outcome. The main objective of this study was to demonstrate the utility of protection motivation theory (PMT) in explaining smoking quitting behaviour among adults, with the goal of providing valuable evidence for further intervention strategies. METHOD: This was a cross-sectional study. Participants were randomly selected on the street from 26 provinces in mainland China. Data were collected via face-to-face interviews. Cronbach’s alpha coefficient and the interclass correlation coefficient (ICC) were used to assess the reliability of the individual PMT constructs. We applied structural equation modelling (SEM) to test how well the PMT constructs predicted intention. A bootstrap test was performed to test the potential mediators. RESULTS: The Cronbach’s alpha coefficients of all the subscales ranged from 0.71 to 0.74. Greater intentions were significantly associated with higher threat appraisal (Coef. = 0.18, P < 0.01) and coping appraisal (Coef. = 0.24, P < 0.01). Threat appraisal was significantly associated with higher perceived severity and vulnerability but inversely associated with extrinsic rewards and intrinsic rewards. Coping appraisal was significantly associated with higher self-efficacy and response efficacy but inversely associated with response cost. The R(2) of quitting intention was 0.12, which means that 12% of quitting intention was predicted by PMT constructs. For threat appraisal, approximately 19.8% of the effects on lower threat appraisal were mediated by higher extrinsic rewards. For coping appraisal, approximately 42.8% of the effects on higher coping appraisal were mediated by higher response efficacy. CONCLUSION: This study finds that PMT is a sound theoretical framework for predicting smoking quitting intention among adults. Coping appraisal has a stronger effect than threat appraisal for predicting quitting intention. Mediation analyses confirmed that extrinsic rewards and response efficacy mediated the relationship between PMT constructs and quitting intention. Our findings are essential for understanding quitting behaviour among adults and support more effective smoking cessation activities.
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spelling pubmed-90448712022-04-28 Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis Lin, Haoxiang Chen, Meijun Yun, Qingping Zhang, Lanchao Chang, Chun BMC Public Health Research OBJECTIVE: Although many smoking cessation strategies have been implemented, only a few strategies at the population level are grounded in theory. Even in those interventions based on specific theories, most studies have focused only on the outcome. The main objective of this study was to demonstrate the utility of protection motivation theory (PMT) in explaining smoking quitting behaviour among adults, with the goal of providing valuable evidence for further intervention strategies. METHOD: This was a cross-sectional study. Participants were randomly selected on the street from 26 provinces in mainland China. Data were collected via face-to-face interviews. Cronbach’s alpha coefficient and the interclass correlation coefficient (ICC) were used to assess the reliability of the individual PMT constructs. We applied structural equation modelling (SEM) to test how well the PMT constructs predicted intention. A bootstrap test was performed to test the potential mediators. RESULTS: The Cronbach’s alpha coefficients of all the subscales ranged from 0.71 to 0.74. Greater intentions were significantly associated with higher threat appraisal (Coef. = 0.18, P < 0.01) and coping appraisal (Coef. = 0.24, P < 0.01). Threat appraisal was significantly associated with higher perceived severity and vulnerability but inversely associated with extrinsic rewards and intrinsic rewards. Coping appraisal was significantly associated with higher self-efficacy and response efficacy but inversely associated with response cost. The R(2) of quitting intention was 0.12, which means that 12% of quitting intention was predicted by PMT constructs. For threat appraisal, approximately 19.8% of the effects on lower threat appraisal were mediated by higher extrinsic rewards. For coping appraisal, approximately 42.8% of the effects on higher coping appraisal were mediated by higher response efficacy. CONCLUSION: This study finds that PMT is a sound theoretical framework for predicting smoking quitting intention among adults. Coping appraisal has a stronger effect than threat appraisal for predicting quitting intention. Mediation analyses confirmed that extrinsic rewards and response efficacy mediated the relationship between PMT constructs and quitting intention. Our findings are essential for understanding quitting behaviour among adults and support more effective smoking cessation activities. BioMed Central 2022-04-27 /pmc/articles/PMC9044871/ /pubmed/35473619 http://dx.doi.org/10.1186/s12889-022-13263-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Zhang, Lanchao
Chang, Chun
Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title_full Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title_fullStr Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title_full_unstemmed Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title_short Protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
title_sort protection motivation theory and smoking quitting intention: findings based on structural equation modelling and mediation analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044871/
https://www.ncbi.nlm.nih.gov/pubmed/35473619
http://dx.doi.org/10.1186/s12889-022-13263-0
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