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Predictive Factors of Aspects of the Transtheoretical Model on Smoking Cessation in a Rural Community
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Ok Hee Ahn, Eunja Yeun, Sung Bok Kwon, Hae Kyung Chung, Eunjung Ryu
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Journal of Korean Academy of Nursing 2005;35(7):1285-1294. Published online March 28, 2017
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DOI: https://doi.org/10.4040/jkan.2005.35.7.1285
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 Abstract
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Purpose
This study was done to evaluate the predictive value of aspects of the Transtheoretical model (TTM) of behavior change as applied to smoking cessation in a rural population.
Methods
A convenience sample was recruited from a public health center in a community. A total of 484 participants were recruited, including 319 smokers, 116 ex-smokers and 49 non-smokers. A cross-sectional and descriptive design was used in this study. Data was analyzed using descriptive statistics, frequency statistics, ANOVA and Logistic regression.
Results
The major findings were 1) The participants were assessed at baseline for their current Stage of Change resulting in a distribution with 42.1% in Precontemplation, 24.1% in Contemplation, 9.7% in Preparation, 6.2% in Active, and 17.9% in the Maintenance stage. 2) There were statistically significant differences of processes of change, decisional balance and situational temptation across the stages of change. 3) The main factors that affect smoking cessation were age, number of years smoking, age when began smoking, self-liberation and negative/affective situations, which combined explained 33.2% of the smoking cessation.
Conclusion
TTM variables measured prior to a smoking cessation program added little predictive value for cessation outcome beyond that explained by demographic and smoking history variables.
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Citations
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BMC Public Health.2016;[Epub] CrossRef - An Integrative Model of Workplace Self-protective Behavior for Korean Nurses
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Asian Nursing Research.2014; 8(2): 91. CrossRef - Factors Influencing Nicotine Dependency among College Students Intending to Quit Smoking
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Ju-Sung Kim, Sun-Ok Lee
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Yun Hee Kim, Jung Soon Kim, Myoung Soo Kim
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Young Mi Kwon, Eun Ja Yeun, Hee Young Kim, Mi Sun Youn, Ju Yeon Cho, Hee Joo Lee
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