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 .