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Abstract Introduction Healthy sleep is critical for the physical, emotional, and cognitive development of adolescents. Capturing the multidimensional components of sleep behavior in this age group remains a challenge, particularly when relying on retrospective questionnaires. This study compares sleep data collected via youth-report, caregiver-report and from Fitbit devices in a large, diverse sample of early adolescents. Methods This study analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study, comprising 11,879 US adolescents (Year 2 age: 11−14 years). The participants self-reported their sleep period (from falling asleep to wake-up time) via the Munich Chronotype Questionnaire, while their caregivers completed the Children's Sleep Disturbance Scale. A subset (N = 4,282, Mean Age = 11.97 years, 51.19% female) also wore Fitbit Charge 2 devices for sleep tracking for 21 days, directly following the annual assessment. We evaluated the internal consistency of the questionnaires and employed Bland-Altman and interclass correlation analyses to compare self-reported and Fitbit measures of sleep period. Results We found acceptable internal consistency in the youth-reported (α = 0.71) and caregiver-reported (α = 0.83) sleep questionnaires. There was a greater discrepancy between caregivers and adolescents when adolescents reported sleep durations less than 7 hours: 38% of caregivers reported 7-8 hours and 35% reported 8-9 hours whereas only 15% reported 7 hours. Compared to Fitbit measures adolescents generally estimated their sleep period with reasonable accuracy (ICC = 0.182 0.15, 0.21 p.001), displaying an average discrepancy of 40.5 minutes on weekdays. Conclusion The findings indicate that there is reasonable agreement between youth-report and Fitbit measures of sleep period in adolescents, opening up the possibility for assessing the complexity of sleep behavior. In this age group, caregivers tend to overestimate the adolescents' sleep duration, which highlights the importance of youth-reported sleep along with objective measures. This study contributes valuable insights into the methodology of sleep research and underscores the need for multi-dimensional approaches in assessing sleep patterns in adolescents. Support (if any) National Institute of Health: U01DA041022
Kiss et al. (Sat,) studied this question.