Factors Influencing Intention to Quit Smoking in Stroke Patients: Based on the Theory of Planned Behavior

Bae, Jin-hyun; Do, Eun Su; Seo, Young Soo

doi:2014.16.1.49

J Korean Gerontol Nurs > Volume 16(1):2014 > Article

Original Article


J Korean Gerontol Nurs. 2014 Apr;16(1):49-58. Korean. Published online Apr 30, 2014. http://dx.doi.org/10.17079/jkgn.2014.16.1.49
© 2014 Korean Gerontological Nursing Society


Factors Influencing Intention to Quit Smoking in Stroke Patients: Based on the Theory of Planned Behavior
Jin-hyun Bae,¹Eun Su Do,²and Young Sook Seo^*³
¹College of Nursing, Catholic University of Daegu, Daegu, Korea.
²Department of Nursing, College of Daegu Health, Daegu, Korea.
³Department of Nursing, Gyeongju University, Gyeongju, Korea.
^*Corresponding author: Seo, Young Sook. Department of Nursing, Gyeongju University, 188 Taejong-ro, Gyeongju 780-712, Korea. Tel: +82-54-770-5167, Fax: +82-54-770-5322, Email: seo1657@naver.com

Received November 08, 2013; Revised February 03, 2014; Accepted March 23, 2014.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract
Purpose The purpose of this study was to explore the intention to quit smoking and related factors in patients with a stroke. Methods Data were collected by structured questionnaires from 182 patients in three different hospitals located in D and K metropolitan city, Korea. All of the patients had a stroke and continued to smoke. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Scheffétest, Pearson's correlation, and Hierarchical regression analyses. Results The major variables of planned action theory and intention to quit smoking showed positive correlations with attitude toward the behavior of quit smoking (direct) (r=.57, p<.001), attitude toward the behavior of quit smoking (indirect) (r=.25, p<.001), subjective norm (direct) (r=.45, p=.001) and perceived behavior control (direct) (r=.71, p<.001). Variables such as age, being employed, family type, perceived behavior control (direct), attitude toward behavior to quit smoking (direct) and subjective norm (direct) explained 66% of variance in intention to quit smoking. Conclusion According to the above results, a specific education program for patients with a stroke who smoke is needed to increase perceived behavioral control, attitude toward the behavior of quit smoking and subjective norm.

Keywords: Stroke, Smoking, Intention, Attitude, Perceived behavior control.

Tables


	Table 1 Differences by the General Characteristics in Intention to Quit Smoking (N=182)


	Table 2 Descriptive statistics of the Variables (N=182)


	Table 3 Correlations between Major Variables and Intention to Quit Smoking (N=182)


	Table 4 Variance in Intention to Quit Smoking by Demographic-Social Variables and Theory of Planned Behavior (N=182)

Notes

This manuscript is based on a part of the first author's master's thesis from Kyungpook National University of Korea.

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