Multi-Method Assessment of Sleep in Children With Angelman Syndrome

A Case–Controlled Study

Bibliographic Data

ID15524237
AuthorsJayne Trickett (University of Leicester, corresponding author), Chris Oliver (0000-0003-1331-6429, University of Birmingham), Mary Heald (0000-0002-2373-8038, University of Birmingham), Hayley Denyer (0000-0002-1942-7325, University College London), Andrew Surtees (0000-0002-5307-9723, University of Birmingham), Emma Clarkson (0000-0001-7208-7289, Huntercombe Hospital), Paul Gringras (0000-0002-0495-3517, Guy's and St Thomas' NHS Foundation Trust), Caroline Richards (0000-0002-5444-4147, University of Birmingham)
Year2019
Volume10
Pages874-874
Publication date2019-11-29
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2019.00874
PMID31849727
OpenAlexW2990201263
LanguageEN
References cited50

Objectives: To assess sleep quality and timing in children with Angelman syndrome (AS) with sleep problems using questionnaires and actigraphy and contrast sleep parameters to those of typically developing (TD) children matched for age and sex. Methods: Week-long actigraphy assessments were undertaken with children with AS (n = 20) with parent-reported sleep difficulties and compared with age and sex matched TD controls. The presence of severe sleep problems was assessed using the modified Simonds and Parraga sleep questionnaire. Sleep hygiene was measured using the Family Inventory of Sleep Habits. Results: Actigraphy and parent-completed sleep diary data indicated that children with AS had significantly earlier bedtimes (p = .003, Cohen d = .47) and poorer sleep efficiency (78%, p = .04, d = .33) than TD children (84%). No significant differences in total sleep time, sleep onset latency or wake after sleep onset were found between the two groups. The expected relationship between later bedtimes and increasing age found for the TD group (p .05). Conclusions: This study reports the largest objective dataset of sleep quality parameters in children with AS. Sleep quality in this group was characterised by poor efficiency and significant intra- and inter-individual variability that warrants further investigation. This variability should inform assessment and intervention for sleep in children with AS, as averages of total sleep, even across a 7 day period may not capture the difficulties with night waking highlighted by parental questionnaire report

Actigraphy · Angelman syndrome · Insomnia · Physical therapy · Psychiatry · Sleep (system call · Sleep diary · Sleep hygiene · Sleep onset · Sleep onset latency · Sleep quality · Epigenetics and DNA Methylation · Genetic Syndromes and Imprinting · Genetics and Neurodevelopmental Disorders · Medicine · Psychology · Pediatrics

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