Sleep Patterns and Predictors of Daytime Sleepiness in High School Students.
10.4306/jknpa.2014.53.6.426
- Author:
Geung Jung SOHN
1
;
Hyun Ju KIM
;
Suk Hoon KANG
;
Myung Ho LIM
;
Hae Gyung CHUNG
;
Jin Hee CHOI
;
Tae Yong KIM
;
Hyungseok SO
Author Information
1. Department of Psychiatry, Korean Veteran Health Service Medical Center, Seoul, Korea. sleepkang@bohun.or.kr
- Publication Type:Original Article
- Keywords:
Sleep wake patterns;
Adolescents;
Daytime sleepiness;
Depression
- MeSH:
Adolescent;
Caffeine;
Depression;
Dysmenorrhea;
Eating;
Education;
Female;
Humans;
Logistic Models;
Male;
Menstruation;
Mental Health;
Surveys and Questionnaires;
Risk Factors;
Sleep Initiation and Maintenance Disorders
- From:Journal of Korean Neuropsychiatric Association
2014;53(6):426-433
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: Various sleep patterns may be shown in adolescents to be busy for studying. The aim of this study was to investigate sleep-wake patterns and to evaluate predictors of daytime sleepiness. METHODS: Among 1011 high school students living in Cheonan-si, demographic variables and self-reported questionnaires, including items about menstruation, Morningness-Eveningness Questionnaire (MEQ), Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index, and Epworth Sleepiness Scale (ESS) were admitted. RESULTS: total of 839 students (male=453, female=386) completed questionnaires. Significant differences in sleep pattern, categorized by score of MEQ (p=0.004), ESS (p<0.001), and BDI (p=0.012) were observed between male and female subjects. Logistic regression analysis showed that excessive daytime sleepiness was predicted by female [odds ratio (OR)=2.039, p=0.022] and sleep quality (OR=1.238, p=0.004). In the regression analysis of female students, dysmenorrhea (beta=0.108, p=0.029), eating of caffeine (beta=-0.114, p=0.019), MEQ (beta=-0.108, p=0.027), insomnia (beta=0.180, p=0.002), and depression (beta=0.116, p=0.029) might be associated with daytime sleepiness. CONCLUSION: In Korean high school students, female and sleep quality might be risk factors of daytime sleepiness. Daytime sleepiness was known to be related with cognitive dysfunction. Therefore, an education program for improving sleep quality in these adolescents should be considered for mental health.
