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Original Article
Smoking Behavior and Predictors of Smoking Initiation in Childhood and Early Adolescence
Sunhee Park
Journal of Korean Academy of Nursing 2009;39(3):376-385.
DOI: https://doi.org/10.4040/jkan.2009.39.3.376
Published online: June 29, 2009

Assistant Professor, College of Nursing Science, East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.

Address reprint requests to: Park, Sunhee. College of Nursing Science, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-071, Korea. Tel: 82-2-961-0874, Fax: 82-2-961-9398, spark@khu.ac.kr
• Received: December 4, 2008   • Accepted: May 18, 2009

Copyright © 2009 Korean Society of Nursing Science

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  • Purpose
    The purposes of this study were (a) to identify smoking behavior by following a cohort representative of the population of 4th grade elementary schoolers in South Korea over a four-year period (2004-2007), and (b) to explore predictors of smoking initiation among non-smokers in Wave 1.
  • Methods
    Secondary data, the Korea Youth Panel Study, was analyzed in this study. First, frequencies or percentages were calculated to identify smoking behavior (i.e., smoking initiation, smoking intensity, and smoking duration). Second, binary logistic regression analysis was performed to examine significant factors related to smoking initiation.
  • Results
    Smoking initiation and daily smoking were more pronounced when the participants entered middle school. In bivariate analysis, statistically significant predictors of smoking initiation were loneliness at school, self-control, delinquent behavior, depressive symptoms, and stress. However, after controlling for other factors, only a high level of risk-taking tendency and a greater number of delinquent behaviors remained statistically significant.
  • Conclusion
    Based on greater involvement in smoking among first-year middle schoolers, smoking prevention strategies should be provided to elementary schoolers rather than middle schoolers. A risk-taking tendency and delinquent behaviors should be considered as proxy measures to detect the high-risk group for smoking initiation.
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Figure 1
Conceptual framework.
*Wave (timing when data were collected).
jkan-39-376-g001.jpg
Figure 2
Percentages of lifetime smokers*.
*Those who used cigarettes during the past year.
jkan-39-376-g002.jpg
Figure 3
Percentages of daily smokers*.
*Those who used at least one cigarette everyday during the past year.
jkan-39-376-g003.jpg
Figure 4
The number of smokers depending by smoking duration.
jkan-39-376-g004.jpg
Table 1
Factors Related to Smoking Initiation (N=2,236)
jkan-39-376-i001.jpg

*p<.05; **p<.01; ***p<.001.

OR=odds ratio; CI=confidence interval.

Figure & Data

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        Smoking Behavior and Predictors of Smoking Initiation in Childhood and Early Adolescence
        J Korean Acad Nurs. 2009;39(3):376-385.   Published online June 29, 2009
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      Smoking Behavior and Predictors of Smoking Initiation in Childhood and Early Adolescence
      Image Image Image Image
      Figure 1 Conceptual framework. *Wave (timing when data were collected).
      Figure 2 Percentages of lifetime smokers*. *Those who used cigarettes during the past year.
      Figure 3 Percentages of daily smokers*. *Those who used at least one cigarette everyday during the past year.
      Figure 4 The number of smokers depending by smoking duration.
      Smoking Behavior and Predictors of Smoking Initiation in Childhood and Early Adolescence

      Factors Related to Smoking Initiation (N=2,236)

      *p<.05; **p<.01; ***p<.001.

      OR=odds ratio; CI=confidence interval.

      Table 1 Factors Related to Smoking Initiation (N=2,236)

      *p<.05; **p<.01; ***p<.001.

      OR=odds ratio; CI=confidence interval.


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