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

Journal of Korean Academy of Nursing 2016; 46(4): 552-561.

Published online: 31 August 2016

DOI: https://doi.org/10.4040/jkan.2016.46.4.552

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 Gwon1, Suyong Jeong2

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 11 March 2016       Revised 11 May 2016       Accepted 18 May 2016

© 2016 Korean Society of Nursing Science

(open-access):

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.

Abstract

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.

Keywords: Adolescent, Smoking, Tobacco use, Logistic models

Figures and Tables

Table 1

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

jkan-46-552-i001

*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

*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

*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.

Notes

CONFLICTS OF INTEREST The authors declared no conflict of interest.

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