Young-Ju Jee; Young-Hae Kim

doi:10.4040/jkan.2014.44.2.179

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Original Article
A Structural Model for Health Risk Behavior of Late Adolescents: Based on 2010 Korea Adolescent Health Survey: Young-Ju Jee, Young-Hae Kim; Journal of Korean Academy of Nursing 2014;44(2):179-188.
DOI: https://doi.org/10.4040/jkan.2014.44.2.179
Published online: April 30, 2014

¹Department of Nursing, Kyungnam University, Changwon, Korea.

²College of Nursing, Pusan National University, Busan, Korea.

Address reprint requests to: Kim, Young-Hae. College of Nursing, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan 626-870, Korea. Tel: +82-51-510-8305~7, Fax: +82-51-510-8308, ungaekim@pusan.ac.kr

• Received: September 23, 2013 • Revised: October 21, 2013 • Accepted: March 3, 2014

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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Abstract
NOTES
REFERENCES

Abstract

Purpose
This study was done to construct and test a structural model to explain health risk behavior of late adolescents.
Methods
Data for this study were secondary data from the 2010 Korea Adolescent Health Survey based and 3,675 high school students who participated. Data were analyzed using SPSS 18.0 and AMOS 19.0 programs.
Results
After 7 lines were removed, fitness statistics for the hypothetical model were appropriate (χ²=559.13, p<.001, GFI=.98, SRMR=.03, RMSEA=.04, NFI=.88, IFI=.90, CFI=.90, TLI=.86, AIC=671.13). The result showed that drinking-smoking is directly affected by 5 variables (32.5%), obesity is directly affected by 2 variables (0.7%), lack of physical activity is directly affected by 5 variables (22.2%), skipping of breakfast is directly affected by 3 variables (11.9%), improper sleep is directly affected by 3 variables (7.5%), and psychological adaptation is directly affected by 4 variables (26.8%).
Conclusion
The results of this study, indicate that late adolescents' health risk behavior is affected by many factors with complicate correlations suggesting further study compare youth health risk behaviors in a variety of environments.
Keywords: Health behavior; Adolescent; Smoking; Alcohols; Sleep

This manuscript is based on a part of the first author's doctoral dissertation from Pusan National University.

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Figure 1

Hypothesis model with parameter estimates.

Figure 2

Modified model.

Table 1

Correlation of Variables (N=3,675)

^*p<.05; ^†p<.001; 1=Smoking; 2=Drinking; 3=Obesity; 4=Lack of physical activity; 5=Skipping of breakfast; 6=Improper sleep; 7=Self-esteem; 8=Self-efficacy, 9=Depression; 10=Anxiety; 11=Gender; 12=Address; 13=School level; 14=Parents' education level; 15=Interested in health by parents of students; 16=Family relationships; 17=Student's health concerns.

Table 2

Validation of Fit Hypothesis Model and the Modified Model

df=degree of freedom; GFI=Goodness of Fit Index; SRMR=Standardized Root Mean Square Residual; RMSEA=Root Mean Square Error of Approximation; NFI=Normed Fit Index; IFI=Incremental Fit Index; CFI=Comparative Fit Index; TLI=Tucker Lewis Index; AIC=Akaike Information Criterion.

Figure & Data

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