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Original Article
Factors Influencing Adolescent Lifetime Smoking and Current Smoking in South Korea: Using data from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey
Seok Hyun Gwon, Suyong Jeong
Journal of Korean Academy of Nursing 2016;46(4):552-561.
DOI: https://doi.org/10.4040/jkan.2016.46.4.552
Published online: August 31, 2016

1College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI, U.S.A.

2College of Nursing, Seoul National University, Seoul, Korea.

Address reprint requests to: Jeong, Suyong. College of Nursing, Seoul National University, Daehak-ro 103, Jongno-gu, Seoul 03080, Korea. Tel: +82-2-740-8489, Fax: +82-2-740-8489, mulyong1@snu.ac.kr
• Received: March 11, 2016   • Revised: May 11, 2016   • Accepted: May 18, 2016

© 2016 Korean Society of Nursing Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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  • Purpose
    The purpose of this study was to investigate factors influencing lifetime smoking and current smoking among adolescents in South Korea.
  • Methods
    Hierarchical logistic regression was conducted based on complex sample analysis using statistics from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey. The study sample comprised 72,060 adolescents aged 12 to 18.
  • Results
    The significant factors influencing adolescent lifetime smoking were female gender, older age, higher stress, higher weekly allowance, lower economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school. The significant factors influencing adolescent current smoking were female gender, older age, higher stress, higher weekly allowance, both higher and lower economic status compared to middle economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school.
  • Conclusion
    Factors identified in this study need to be considered in programs directed at prevention of adolescent smoking and smoking cessation programs, as well as policies.
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Table 1

Characteristics depending on Lifetime Smoking and Current Smoking (N=72,060)

jkan-46-552-i001.jpg

*Calculated by complex sample analysis; Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); §Skipped responses were excluded (n=69,104).

Table 2

Factors Influencing Lifetime Smoking (N=72,060)

jkan-46-552-i002.jpg

*Nagelkerke R2 was 0.162 (Cox and Snell R2was 0.102); Nagelkerke R2 was 0.298 (Cox and Snell R2 was 0.185); Nagelkerke R2 was 0.300 (Cox and Snell R2 was 0.186); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.

Table 3

Factors Influencing Current Smoking (N=72,060)

jkan-46-552-i003.jpg

*Nagelkerke R2 was 0.161 (Cox and Snell R2 was 0.073); Nagelkerke R2 was 0.310 (Cox and Snell R2 was 0.136); Nagelkerke R2 was 0.315 (Cox and Snell R2 was 0.138); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.

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        Factors Influencing Adolescent Lifetime Smoking and Current Smoking in South Korea: Using data from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey
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      Factors Influencing Adolescent Lifetime Smoking and Current Smoking in South Korea: Using data from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey
      Factors Influencing Adolescent Lifetime Smoking and Current Smoking in South Korea: Using data from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey

      Characteristics depending on Lifetime Smoking and Current Smoking (N=72,060)

      *Calculated by complex sample analysis; Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); §Skipped responses were excluded (n=69,104).

      Factors Influencing Lifetime Smoking (N=72,060)

      *Nagelkerke R2 was 0.162 (Cox and Snell R2was 0.102); Nagelkerke R2 was 0.298 (Cox and Snell R2 was 0.185); Nagelkerke R2 was 0.300 (Cox and Snell R2 was 0.186); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.

      Factors Influencing Current Smoking (N=72,060)

      *Nagelkerke R2 was 0.161 (Cox and Snell R2 was 0.073); Nagelkerke R2 was 0.310 (Cox and Snell R2 was 0.136); Nagelkerke R2 was 0.315 (Cox and Snell R2 was 0.138); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.

      Table 1 Characteristics depending on Lifetime Smoking and Current Smoking (N=72,060)

      *Calculated by complex sample analysis; Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); §Skipped responses were excluded (n=69,104).

      Table 2 Factors Influencing Lifetime Smoking (N=72,060)

      *Nagelkerke R2 was 0.162 (Cox and Snell R2was 0.102); Nagelkerke R2 was 0.298 (Cox and Snell R2 was 0.185); Nagelkerke R2 was 0.300 (Cox and Snell R2 was 0.186); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.

      Table 3 Factors Influencing Current Smoking (N=72,060)

      *Nagelkerke R2 was 0.161 (Cox and Snell R2 was 0.073); Nagelkerke R2 was 0.310 (Cox and Snell R2 was 0.136); Nagelkerke R2 was 0.315 (Cox and Snell R2 was 0.138); §Skipped responses were excluded (n=71,638); Skipped responses were excluded (n=69,025); Skipped responses were excluded (n=69,104); CI=Confidence interval; OR=Odds ratio.


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