scholarly journals Estimating adolescent sleep patterns: parent reports versus adolescent self-report surveys, sleep diaries, and actigraphy

2013 ◽  
pp. 23 ◽  
Author(s):  
Michelle Short ◽  
Gradisar ◽  
Leon Lack ◽  
Wright ◽  
Chatburn
2021 ◽  
pp. 095679762097577
Author(s):  
Marissa D. Nivison ◽  
Deborah Lowe Vandell ◽  
Cathryn Booth-LaForce ◽  
Glenn I. Roisman

Retrospective self-report assessments of adults’ childhood experiences with their parents are widely employed in psychological science, but such assessments are rarely validated against actual parenting experiences measured during childhood. Here, we leveraged prospectively acquired data characterizing mother–child and father–child relationship quality using observations, parent reports, and child reports covering infancy through adolescence. At age 26 years, approximately 800 participants completed a retrospective measure of maternal and paternal emotional availability during childhood. Retrospective reports of childhood emotional availability demonstrated weak convergence with composites reflecting prospectively acquired observations ( R2s = .01–.05) and parent reports ( R2s = .02–.05) of parenting quality. Retrospective parental availability was more strongly associated with prospective assessments of child-reported parenting quality ( R2s = .24–.25). However, potential sources of bias (i.e., depressive symptoms and family closeness and cohesiveness at age 26 years) accounted for more variance in retrospective reports (39%–40%) than did prospective measures (26%), suggesting caution when using retrospective reports of childhood caregiving quality as a proxy for prospective data.


Author(s):  
Charli Sargent ◽  
Shona L. Halson ◽  
David T. Martin ◽  
Gregory D. Roach

Purpose: Professional road cycling races are physiologically demanding, involving successive days of racing over 1 to 3 weeks of competition. Anecdotal evidence indicates that cyclists’ sleep duration either increases or deteriorates during these competitions. However, sleep duration in professional cyclists during stage races has not been assessed. This study examined the amount/quality of sleep obtained by 14 professional cyclists competing in the Australian Tour Down Under. Methods: Sleep was assessed using wrist activity monitors and self-report sleep diaries on the night prior to start of the race and on each night during the race. The impact of each day of the race on sleep onset, sleep offset, time in bed, sleep duration, and wake duration was assessed using separate linear mixed effects models. Results: During the race, cyclists obtained an average of 6.8 (0.9) hours of sleep between 23:30 and 07:27 hours and spent 13.9% (4.7%) of time in bed awake. Minor differences in sleep onset (P = .023) and offset times (P ≤.001) were observed during the week of racing, but these did not affect the amount of sleep obtained by cyclists. Interestingly, the 3 best finishers in the general classification obtained more sleep than the 3 worst finishers (7.2 [0.3] vs 6.7 [0.3] h; P = .049). Conclusions: Contrary to anecdotal reports, the amount of sleep obtained by cyclists did not change over the course of the 1-week race and was just below the recommended target of 7 to 9 hours for adults.


2013 ◽  
Vol 09 (03) ◽  
pp. 235-245 ◽  
Author(s):  
Lisa J. Meltzer ◽  
Kristin T. Avis ◽  
Sarah Biggs ◽  
Amy C. Reynolds ◽  
Valerie McLaughlin Crabtree ◽  
...  

Author(s):  
A. J Schwichtenberg ◽  
Ana-Maria Iosif ◽  
Beth Goodlin-Jones ◽  
Karen Tang ◽  
Thomas Anders

Abstract The present study examined daytime sleep patterns in 3 groups of preschool-aged children: children with autism, children with developmental delay, and children who were developing typically. Sleep was assessed in 194 children via actigraphy and parent-report sleep diaries for 7 consecutive days on 3 separate occasions over 6 months. Children with autism napped less often and for shorter periods of time than children with developmental disability, with whom they were matched on chronologic age. Children with developmental disabilities napped more like children in the typically developing group, who were, on average, 6 months younger. Each group displayed an expected shift in daytime sleep as more children matured out of their naps.


2019 ◽  
Vol 2 (4) ◽  
pp. 282-287 ◽  
Author(s):  
Robert J. Brychta ◽  
Vaka Rögnvaldsdóttir ◽  
Sigríður L. Guðmundsdóttir ◽  
Rúna Stefánsdóttir ◽  
Soffia M. Hrafnkelsdóttir ◽  
...  

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 (p < .001), but reported bedtime was consistently earlier (>30 minutes, p < .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 (p = .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 (p = .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.


SLEEP ◽  
2020 ◽  
Author(s):  
Jessica R Dietch ◽  
Daniel J Taylor ◽  
Kristi Pruiksma ◽  
Sophie Wardle-Pinkston ◽  
Danica C Slavish ◽  
...  

Abstract Study Objectives Nurses are a group at high risk for nightmares, yet little is known about the rate of nightmare disorder and associated psychosocial factors in this group in part attributable to the lack of a self-report questionnaire to assess DSM-5 criteria for nightmare disorder. Aims of the current study were to (1) report on development and initial validity of a self-report measure of DSM-5 nightmare disorder, and (2) examine the rate and associated factors of nightmare disorder among nurses. Methods Nurses (N = 460) completed baseline measures online including Nightmare Disorder Index (NDI), psychosocial and demographic questionnaires. A subset (n = 400) completed 14 days of sleep diaries and actigraphy. Results NDI demonstrated satisfactory psychometric characteristics as indicated by good internal consistency (α = 0.80), medium inter-item correlations (r = 0.50), medium to large item-total (r = 0.55–0.85) and convergent correlations (0.32–0.45), and small to medium discriminant correlations (–0.12–0.33). Per NDI, 48.7% of nurses reported no nightmares in the past month, 43.9% met partial/subthreshold criteria and 7.4% met full criteria for probable nightmare disorder. Nurses with nightmare disorder demonstrated significantly poorer psychosocial functioning (i.e. posttraumatic stress, depression, anxiety, stress) than those with subthreshold nightmare symptoms, who had poorer functioning than those with no nightmares. Conclusions NDI is an efficient and valid self-report assessment of nightmare disorder. Nurses have high rates of nightmares and nightmare disorder which are associated with poorer psychosocial functioning. We recommend increased nightmare screening particularly for high-risk populations such as healthcare workers.


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A104-A105
Author(s):  
Cara A Palmer ◽  
Candice A Alfano ◽  
Joanne L Bower

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