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

Authors :
Rebecca Robbins
Stuart F. Quan
Laura K. Barger
Charles A. Czeisler
Maya Fray-Witzer
Matthew D. Weaver
Ying Zhang
Susan Redline
Elizabeth B. Klerman
Source :
Sleep Epidemiology, Vol 1, Iss , Pp 100016- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

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.

Details

Language :
English
ISSN :
26673436
Volume :
1
Issue :
100016-
Database :
Directory of Open Access Journals
Journal :
Sleep Epidemiology
Publication Type :
Academic Journal
Accession number :
edsdoj.2a709804909e4b90afd671d7237527bd
Document Type :
article
Full Text :
https://doi.org/10.1016/j.sleepe.2021.100016