Sleep Epidemiology (Dec 2021)

Self-reported sleep duration and timing: A methodological review of event definitions, context, and timeframe of related questions

  • Rebecca Robbins,
  • Stuart F. Quan,
  • Laura K. Barger,
  • Charles A. Czeisler,
  • Maya Fray-Witzer,
  • Matthew D. Weaver,
  • Ying Zhang,
  • Susan Redline,
  • Elizabeth B. Klerman

Journal volume & issue
Vol. 1
p. 100016

Abstract

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Study objectives: Clinical and population health recommendations are derived from studies that include self-report. Differences in question wording and response scales may significantly affect responses. We conducted a methodological review assessing variation in event definition(s), context (i.e., work- versus free-day), and timeframe (e.g., “in the past 4 weeks”) of sleep timing/duration questions. Methods: We queried databases of sleep, medicine, epidemiology, and psychology studies for survey-based research and/or publications with sleep duration/timing questions. The text of these questions was thematically analyzed. Results: We identified 53 surveys with sample sizes ranging from 93 to 1,185,106. For sleep duration questions, participants reported nocturnal sleep (24 of 44 questions), sleep in the past 24-hours (14/44), their major sleep episode (3/44), or answered unaided (3/44). For bedtime questions, participants reported time into bed (19/47), first attempt to sleep (16/40), or fall-asleep time (12/47). For wake-time questions, participants reported wake-up time (30/43), the time they “get up” (7/43), or their out-of-bed time (6/43). Context guidance appeared in 18/44 major sleep duration, 35/47 bedtime, and 34/43 wake-time questions. Timeframe was provided in 8/44 major sleep episode duration, 16/47 bedtime, and 10/43 wake-time questions. One question queried the method of awakening (e.g., by alarm clock), 18 questions assessed sleep latency, and 12 measured napping. Conclusion: There is variability in the event definition(s), context, and timeframe of questions relating to sleep. This work informs efforts at data harmonization for meta-analyses, provides options for question wording, and identifies potential questions for future surveys.

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