The Relationship Between Sleep and Cognition in Children Referred for Neuropsychological Evaluation
A Latent Modeling Approach
Bibliographic Data
| ID | 15717240 |
|---|---|
| Authors | Adrian M Svingos (0000-0001-7271-2136, University of Florida Health, corresponding author), Adrian Svingos (University of Florida), Sarah M Greif (University of Florida Health), Sarah Greif (University of Florida), Brittany Bailey (University of Florida Health), Shelley C Heaton (0000-0001-5860-522X, University of Florida Health), Shelley Heaton (University of Florida) |
| Year | 2018 |
| Volume | 5 |
| Issue | 3 |
| Pages | 33-33 |
| Publication date | 2018-02-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children5030033 |
| PMID | 29495597 |
| OpenAlex | W2791237241 |
| Language | EN |
| References cited | 52 |
Children with conditions affecting cognitive processes experience high levels of sleep disturbance, which may further compound the cognitive ramifications of their disorders. Despite this, existing studies in this area have been primarily confined to only particular diagnostic groups and/or a limited scope of sleep and cognitive parameters. The current study characterized the nature of sleep problems and examined the relationship between a wide range of sleep-related problems and cognitive functioning in a large ( N = 103) diagnostically heterogeneous sample of youth (aged 6-16) referred for neuropsychological assessment. Structural equation modeling was used to examine the relationship between sleep-related problems (i.e., daytime sleepiness, sleep onset latency, sleep fragmentation, sleep time variability, sleep debt) and cognitive performance (i.e., executive functioning, sustained attention, memory, processing speed). Sleep fragmentation emerged as the most prominent sleep-related problem in the present sample. Structural equation modeling demonstrated a negative association between sleep-related problems and cognition that did not reach statistical significance (β = -0.084, p = 0.629). The current statistical approach may be used as a conceptual framework for future work examining these multi-dimensional constructs in a parsimonious fashion
Cognition · Developmental psychology · Effects of sleep deprivation on cognitive performance · Neuropsychological assessment · Neuropsychology · Psychiatry · Sleep (system call · Sleep debt · Sleep disorder · Sleep onset latency · Structural equation modeling · Clinical Psychology · Computer Science · EEG and Brain-Computer Interfaces · Psychology · Sleep and related disorders · Sleep and Wakefulness Research
Structural Equation Modeling
Wechsler Intelligence Scale for Children, Fourth Edition
Sleep, emotional and behavioral difficulties in children and adolescents
The Children's Sleep Habits Questionnaire (CSHQ)
Functional consequences of inadequate sleep in adolescents
A New Method for Measuring Daytime Sleepiness
Cutoff criteria for fit indexes in covariance structure analysis
The Pittsburgh sleep quality index
Power analysis and determination of sample size for covariance structure modeling.
Structural Model Evaluation and Modification
The Analysis of Covariance Structures
Comparative fit indexes in structural models
Sleep, cognition, and behavioral problems in school-age children
Alternative Ways of Assessing Model Fit
| Highly cited | No |
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