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Development and psychometric assessment of Health Action Process Approach (HAPA) in terms of smoking cessation among Chinese smokers.

作者信息

Lin Hao, Lin Haoxiang, Zhang Lanchao, Zhang Chengqian, Yang Xiaochen, Cao Wangnan, Chang Chun

机构信息

Department of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Peking University, Beijing, China.

Institute for Global Health and Development, Peking University, Beijing, China.

出版信息

Sci Rep. 2024 Feb 19;14(1):4056. doi: 10.1038/s41598-024-54404-2.


DOI:10.1038/s41598-024-54404-2
PMID:38374426
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10876652/
Abstract

The Health Action Process Approach (HAPA) is a two-stage (pre-intentional and post-intentional) behavioral change model that distinguishes between motivation and volition in behavior change process. This study aims to develop HAPA-based assessments for smoking cessation among current smokers. The HAPA-based measures were developed and the draft measures included nine constructs, namely, risk perception in smoking-induced cancer, risk perception in smoking-induced systemic disease, positive outcome expectancy, negative outcome expectancy, self-efficacy in quitting smoking, self-efficacy in maintaining, self-efficacy in re-initiating, quitting planning and coping planning in smoking cessation, with a total of 26 items. A cross-sectional survey was conducted in China in 2022. Principal Component Analysis was used for Exploratory Factor Analysis (EFA). Cronbach's α coefficient was calculated to evaluate the internal consistency. Variables such as severity of smoking addiction were selected to evaluate the correlation between the HAPA scale and these variables. Of the 928 participants, 76.4% (709/928) were male and the median age was 35 years. Five factors were extracted by EFA. The factor loadings of each item were all greater than 0.60, and the cumulative variance contribution rate was 90.15%. The Cronbach's α coefficient of each HAPA-based subscales was 0.929-0.986. The HAPA-based measurements are comprehensive, reliable and valid in the assessment of smokers' smoking cessation cognition, which can be used to guide the design and implementation of intervention and the development of theory.

摘要

相似文献

[1]
Development and psychometric assessment of Health Action Process Approach (HAPA) in terms of smoking cessation among Chinese smokers.

Sci Rep. 2024-2-19

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[1]
Understanding parental support for children's 24-hour movement behaviors based on an adapted HAPA framework: A three-wave prospective study.

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[2]
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本文引用的文献

[1]
The dynamics of smoking quit motivation in daily life: Associations with momentary self-regulation and nightly quit intentions.

Addict Behav. 2023-5

[2]
Economic Analysis of Patient's Own Medication, Unit-Use and Ward Stock Utilization: Results of the First Pilot Study.

Int J Environ Res Public Health. 2022-9-9

[3]
Development and psychometric assessment of cutaneous leishmaniasis prevention behaviors questionnaire in adolescent female students: Application of integration of cultural model and extended parallel process model.

PLoS One. 2022

[4]
Factors associated with long-term smoking relapse in those who succeeded in smoking cessation using regional smoking cessation programs.

Medicine (Baltimore). 2022-8-5

[5]
Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output.

Int J Environ Res Public Health. 2021-12-30

[6]
Parental Knowledge, Attitude, and Practice on Tobacco Use, Smoking Cessation, and Children's Environmental Tobacco Smoke Exposure.

Front Public Health. 2021

[7]
Tobacco dependence affects determinants related to quitting intention and behaviour.

Sci Rep. 2021-10-12

[8]
Smoking reduction is associated with lower alcohol consumption and depressive symptoms among young adults over one year.

Drug Alcohol Depend. 2021-10-1

[9]
Application of Health Behavioral Models in Smoking Cessation - A Systematic Review.

Indian J Public Health. 2021

[10]
Association of Smoking and Smoking Cessation With Overall and Cause-Specific Mortality.

Am J Prev Med. 2021-4

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