Osong Public Health Res Perspect.  2018 Jan;9(1):3-8. 10.24171/j.phrp.2018.9.1.02.

Multilevel Analysis of the Risk Factors in High-Risk Health Behavior among Korean Adolescents

Affiliations
  • 1Department of Nursing, Kunsan National University, Gunsan, Korea. egkim@kunsan.ac.kr

Abstract


OBJECTIVES
To examine health behaviors among Korean adolescents with a focus on both individual and school-based factors, specifically in relation to predictors of high-risk groups.
METHODS
Secondary data analysis was conducted with data from the 8th Korea Youth Risk Behavior Web-Based Survey, using descriptive statistics, t tests, χ2 test, and multilevel logistic regression analysis. Health Practice Index was calculated and a range of 0 to 2 was classified as a high-risk group.
RESULTS
The results revealed that the individual-level variables of sex, age, stress, depression, subjective health status, school performance, health education, father's level of education, and living situation were significant predictors of high-risk behaviors. The risk was greater in girls, greater with higher age and higher stress scores, greater in adolescents with depression, greater with lower paternal educational level, and greater in adolescents who did not live with both parents, as were the school-level variables of school grade and school affluence score. The possibility of being in the high-risk group in health behavior was greater if a student attended a school where the Family Affluence Score (FAS) was lower.
CONCLUSION
School health education should be expanded to manage students' high-risk health behaviors, especially in schools that have many students from families with a low affluence status.

Keyword

adolescent; analysis; behavior; health; multilevel

MeSH Terms

Adolescent*
Depression
Diagnostic Self Evaluation
Education
Female
Health Behavior*
Health Education
Humans
Korea
Logistic Models
Multilevel Analysis*
Parents
Risk Factors*
Risk-Taking
School Health Services
Statistics as Topic
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