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Factors influencing smoking cessation counselors' intention to stay

An application of a conceptual model of intention to stay verified with path analysis

Bibliographic Data

ID22077914
AuthorsYi-Chun Liu, Yichun Liu (0000-0002-8628-6112, National Defense Medical Center), Shih-Hung Chiang, Chung‐Yu Lai (0000-0002-7524-3010, National Defense Medical Center), Chung-Yu Lai, Li-Chen Yen (0000-0002-1891-5546, National Defense Medical Center), Fang-Yih Liaw, Fang‐Yih Liaw (Tri-Service General Hospital), Ming-Han Lin (National Defense Medical Center), Fu-Gong Lin, Fu‐Gong Lin (0000-0003-0275-7835, National Defense Medical Center), Ching‐Huang Lai (0000-0001-5097-8574, National Defense Medical Center), Ching-Huang Lai, Senyeong Kao (0000-0002-0209-240X, National Defense Medical Center), Yu-Tien Chang (0000-0002-1801-7041, National Defense Medical Center), Chia‐Chao Wu (0000-0002-8772-011X, Tri-Service General Hospital), Chia-Chao Wu, Yu‐Lung Chiu (0000-0002-6963-2116, National Defense Medical Center, corresponding author), Yu-Lung Chiu
Year2022
Volume10
Pages932213-932213
Publication date2022-09-20
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.932213
PMID36203706
OpenAlexW4296396771
LanguageEN
References cited26

Background: The Taiwanese military trains smoking cessation counselors to counsel officers and soldiers on quitting smoking as part time. The intention to stay among smoking cessation counselors affects the promotion of smoking cessation. This study investigated smoking cessation counselors' intention to stay by applying a conceptual model of intent to stay (CMIS) to analyze influencing factors. Methods: In this cross-sectional study, we applied the CMIS to design a questionnaire. We invited 577 smoking cessation counselors trained in the military from 2016 to 2017. The response rate was 46.7%, and the questionnaire responses of 260 military smoking cessation counselors were analyzed. We used path analysis to verify the relationships among the various aspects of the CMIS. Results: < 0.001). Career opportunities indirectly affect intention to stay through institutional identification, working environment indirectly affects intention to stay through job stress, and co-worker support and self-fulfillment indirectly affect intention to stay through job satisfaction and institutional identification. Our model could explain 36.7% of the variance in intent to stay among smoking cessation counselors. Conclusion: Our results suggest that relevant policies should be formulated to enhance smoking cessation counselors' recognition, affirmation, and sense of belonging as related to smoking cessation counseling work, thereby raising their institutional identification and promoting their intention to stay

Family medicine · Job satisfaction · Smoking cessation · Clinical Psychology · Medicine · Posttraumatic Stress Disorder Research · Psychology · Smoking Behavior and Cessation · Social Psychology · Workplace Health and Well-being

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