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Healthc Inform Res > Volume 8(3); 2002 > Article
Journal of Korean Society of Medical Informatics 2002;8(3):61-69.
DOI: https://doi.org/10.4258/jksmi.2002.8.3.61    Published online September 30, 2002.
A Study of Underweight Adolescents Characteristics and Health Promotion by Applying Data Mining Techniques
Sun Mi Shin, In Sook Kim, Young Moon Chae, Joo Hyung Kim, Hee Woo Lee
1Graduate School of Public Health, Yonsei University, Korea.
2College of Nursing, Yonsei University, Korea.
3Graduate School of Health Science and Management, Yonsei University, Korea.
4Seoul School Health Center, Korea.
Abstract

The purpose of this paper is to describe general characteristics of underweight adolescents and to search for ways to promote the health of underweight adolescents through assessing health related factors by using data mining techniques. The study sampled(n=4352) 1,180 underweight(BMI<18.5) and 3,172 average weight (18.5<=BMI<23) adolescents, 10th grade students in Seoul, 2000, and investigated the differences between two groups. Related variables were input in a decision tree and an association rule of SAS E-Miner. The most predictable model was CART. In frequency, the proportion of underweight adolescents was higher on the south of the Han-river than on the northern side; but in association rule, associated variables with high support rate and confidence rate were females, north of Han-river, and scoliosis. Therefore, approaches for health promotion of underweight adolescents are not only intervention of physical health, but also the education of proper weight perception to prevent low birth weight and underweight adolescents because mother's education and child's low birth weight are related to underweight adolescents. In conclusion, the following sample groups in Seoul are suggested: female adolescents with scoliosis on the north of Han-river in Seoul.

Key Words: Underweight, Data Mining, Health Promotion


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