J Korean Acad Community Health Nurs.  2018 Dec;29(4):476-487. 10.12799/jkachn.2018.29.4.476.

Multilevel Analysis of Factors associated with Subjective Weight Perception among Normal Body Weight Adolescents based on the 2017 Korean Youth's Risk Behavior Survey (KYRBS)

Affiliations
  • 1Doctoral Student, College of Nursing, Seoul National University, Seoul, School Health Teacher, Munhyeon Middle School, Seoul, Korea.
  • 2Professor, College of Nursing, Seoul National University, Seoul, Korea. lisook@snu.ac.kr

Abstract

PURPOSE
The present study is focused on understanding weight perception related with individual- and school-level multifactorial origins, underestimated and overestimated respectively, in normal body weight adolescents.
METHODS
Using the 2017 Korea Youth Risk Behavior Web-based Survey data of 45,902 students from 799 secondary schools, a multilevel multinomial logistic regression analysis was performed where adolescents (level1) were nested within schools (level 2).
RESULTS
At the school level, the average school body mass index (BMI, kg/m²) and physical education were associated with weight perception among both boys and girls. In boys, geographic areas were associated with weight underestimation. At the individual level, perceived economic status, weekly allowance, BMI (kg/m²), smartphone usage time (hrs/day) and perceived stress were associated with weight perception among both boys and girls. Age, paternal education, academic achievement and alcohol use were associated with weight perception among girls, while part-time job and physical activity were associated with weight perception among boys.
CONCLUSION
Our findings underscore the importance of individual- and school-level environments in developing correct weight perception and have implications for school health education to establish healthy lifestyle behaviors for all adolescents.

Keyword

Adolescent; Weight Perception; Multilevel analysis

MeSH Terms

Adolescent*
Body Mass Index
Education
Female
Humans
Ideal Body Weight*
Korea
Life Style
Logistic Models
Motor Activity
Multilevel Analysis*
Paternal Age
Physical Education and Training
Risk-Taking*
School Health Services
Smartphone
Weight Perception*

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