» Articles » PMID: 31799503

Longitudinal Change in Adolescent Bedtimes Measured by Self-Report and Actigraphy

Overview
Date 2019 Dec 5
PMID 31799503
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Sleep is often quantified using self-report or actigraphy. Self-report is practical and less technically challenging, but prone to bias. We sought to determine whether these methods have comparable sensitivity to measure longitudinal changes in adolescent bedtimes.

Methods: We measured one week of free-living sleep with wrist actigraphy and usual bedtime on school nights and non-school nights with self-report questionnaire in 144 students at 15 y and 17 y.

Results: Self-reported and actigraphy-measured bedtimes were correlated with one another at 15 y and 17 y ( < .001), but reported bedtime was consistently earlier (>30 minutes, < .001) and with wide inter-method confidence intervals (> ±106 minutes). Mean inter-method discrepancy did not differ on school nights at 15 y and 17 y but was greater at 17 y on non-school nights ( = .002). Inter-method discrepancy at 15 y was not correlated to that at 17 y. Mean change in self-reported school night bedtime from 15 y to 17 y did not differ from that by actigraphy, but self-reported bedtime changed less on non-school nights ( = .002). Two-year changes in self-reported bedtime did not correlate with changes measured by actigraphy.

Conclusions: Although methods were correlated, consistently earlier self-reported bedtime suggests report-bias. More varied non-school night bedtimes challenge the accuracy of self-report and actigraphy, reducing sensitivity to change. On school nights, the methods did not differ in group-level sensitivity to changes in bedtime. However, lack of correlation between bedtime changes by each method suggests sensitivity to individual-level change was different. Methodological differences in sensitivity to individual- and group-level change should be considered in longitudinal studies of adolescent sleep patterns.

Citing Articles

Adolescent mental health and cardiorespiratory fitness: A comparison of two cohorts 12 years apart.

Birgisson O, Eriksen H, Hysing M, Johannsson E, Gestsdottir S PLoS One. 2024; 19(5):e0300810.

PMID: 38748628 PMC: 11095746. DOI: 10.1371/journal.pone.0300810.


Longitudinal associations between facets of sleep and adiposity in youth.

LeMay-Russell S, Schvey N, Kelly N, Parker M, Ramirez E, Shank L Obesity (Silver Spring). 2021; 29(11):1760-1769.

PMID: 34734495 PMC: 8575078. DOI: 10.1002/oby.23281.


Changes in sleep and activity from age 15 to 17 in students with traditional and college-style school schedules.

Stefansdottir R, Rognvaldsdottir V, Gestsdottir S, Gudmundsdottir S, Chen K, Brychta R Sleep Health. 2020; 6(6):749-757.

PMID: 32534820 PMC: 7726031. DOI: 10.1016/j.sleh.2020.04.009.

References
1.
Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

2.
Bei B, Allen N, Nicholas C, Dudgeon P, Murray G, Trinder J . Actigraphy-assessed sleep during school and vacation periods: a naturalistic study of restricted and extended sleep opportunities in adolescents. J Sleep Res. 2013; 23(1):107-17. DOI: 10.1111/jsr.12080. View

3.
Knutson K, Lauderdale D . Sleep duration and overweight in adolescents: self-reported sleep hours versus time diaries. Pediatrics. 2007; 119(5):e1056-62. DOI: 10.1542/peds.2006-2597. View

4.
Rognvaldsdottir V, Gudmundsdottir S, Brychta R, Hrafnkelsdottir S, Gestsdottir S, Arngrimsson S . Sleep deficiency on school days in Icelandic youth, as assessed by wrist accelerometry. Sleep Med. 2017; 33:103-108. PMC: 6314493. DOI: 10.1016/j.sleep.2016.12.028. View

5.
Carskadon M . Patterns of sleep and sleepiness in adolescents. Pediatrician. 1990; 17(1):5-12. View