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KMID : 0613620190390010230
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Health Social Welfare Review
2019 Volume.39 No. 1 p.230 ~ p.258
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Classifying the Sleep Duration Trajectories in Korean Adolescents: Using A Latent Class Growth Analysis
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Yoo Chang-Min
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Abstract
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The purpose of the present study was to identify the subgroups (i.e., latent classes) in sleep duration trajectories among South Korean adolescents, depending on individual, school, and electronic media variables. To achieve these goals, we used latent class growth analysis (LCGA) involving 2,246 students who participated in the Korea Children and Youth Panel Survey from 2010 to 2016. The major findings are as follows: First, four latent classes were identified, and gender, household income, time spent on after-school classes, after-school homework, time using computer, time spent watching TV/video were significant determinants of the latent classes. These results can be applied to predict latent classes according to various backgrounds that are susceptible to sleep duration and may prove helpful in providing suggestions for developing appropriate intervention programs.
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KEYWORD
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Adolescent, Sleep Duration, Latent Class Growth Analysis, Health
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