The need for sleep in children has sparked extensive research, with inconclusive support for an association between sleep duration and sleep quality and health-related quality of life (HR-QOL). Daytime sleepiness, which captures a child's subjective sleep experience, has seldom been explored. Latent class growth analysis (LCGA) was employed to identify longitudinal trajectories of children's sleepiness. Trajectories were utilized to assess their association with HRQOL. The present sample included 158 children and their self-reports of sleepiness and HRQOL collected at three time points across an academic year. Results provided support for three trajectories of sleepiness, with significant associations between trajectory and later HRQOL. Post hoc tests revealed significant differences in HRQOL between trajectories. Children with high and stable sleepiness-experienced impairments in HRQOL comparable to children with chronic health conditions. Implications include the establishment of daytime sleepiness as a pervasive state with both statistical and clinical significance.
Keywords: children; health-related quality of life; sleep; structural equation modeling.