Pediatric headache patients often experience significant sleep disturbance, which may be a risk factor for poor physical, academic, and emotional functioning, including increased anxiety/fear. The current retrospective cohort study of a clinical sample of youth with persistent headache aimed to examine the impact of sleep on functional outcomes and to explore pain-related fear as a mediator of the association between sleep problems and functioning. A total of 109 youth (aged 7-17 years) with persistent headache presenting to a tertiary pediatric headache center (and their parents) completed measures of sleep problems, fear of pain, functional disability, and school functioning at the time of an initial evaluation and 6 months later. After controlling for age and headache frequency and severity, linear regression analyses indicated that increased sleep problems at baseline were associated with increased functional disability and poorer school functioning at baseline ( = 0.28, = .01; = -0.42, < .001, respectively). Poor sleep at baseline was associated with poorer school functioning (but not functional disability) at follow-up ( = -0.25, = .02). Mediation models demonstrated an indirect mediating effect of pain-related fear on the association between baseline sleep problems and follow-up functional disability ( = 0.06, 95% confidence interval 0.01, 0.15) and between baseline sleep problems and follow-up school functioning ( = -0.06, 95% confidence interval -0.13, -0.004). Sleep disturbance in youth with headache may be a risk factor for poor functional outcomes, both concurrently and over time, and may be explained partially through pain-related fear. Given the frequency with which pediatric headache patients experience co-occurring sleep problems, sleep should be thoroughly assessed and considered as a potential early treatment target.
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http://dx.doi.org/10.1177/0883073819887597 | DOI Listing |
Alzheimers Dement
December 2024
Imperial College London, London, United Kingdom; UK Dementia Research Institute, Care Research and Technology Centre, London, United Kingdom.
Background: Close to 23% of unplanned hospital admissions for people living with dementia (PLWD) are due to potentially preventable causes such as severe urinary tract infections (UTIs), falls, and respiratory problems. These affect the well-being of PLWD, cause stress to carers and increase pressure on healthcare services.
Method: We use routinely collected in-home sensory data to monitor nocturnal activity and sleep data.
Alzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: Prior research on factors associated with sleep problems among care partners (CPs) of persons with cognitive decline (PwCD) are often limited by imprecise (i.e., single yes/no questions) measures of insomnia, burden, and CP mental health.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Waterloo, Waterloo, ON, Canada.
Background: The Medication Review in Cognitive Impairment and Dementia (MedRevCiD) checklist is a new tool designed to assist health care professionals in optimizing medication use in individuals with Mild Cognitive Impairment (MCI) or dementia. It consists of 6 domains, each of which addresses a specific medication use issue such as medication management and adherence. The primary objective of this study was to compare the mean number of drug-related problems (DRPs) identified with MedRevCiD Checklist to the Medication Appropriateness Index (MAI) in older adults attending a primary care-based memory clinic.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National University of Singapore, Singapore, Singapore, Singapore.
Background: Past studies examining sleep-cognition relationships mostly employed univariate approaches, which are subject to problems such as multicollinearity and multiple comparisons. Further, results from small sample univariate analyses are difficult to compare, precluding the identification of the aspects of sleep health associated with a particular cognitive domain(s). The current study used a multivariate approach to identify key sleep metrics and cognitive domains that contribute to the maximum sleep-cognition covariance in healthy older adults.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
Insomnia disorder (ID) is a highly heterogeneous psychiatric disease, and the use of neuroanatomical data to objectively define biological subtypes is essential. We aimed to examine the neuroanatomical subtypes of ID by morphometric similarity network (MSN) and the association between MSN changes and specific transcriptional expression patterns. We recruited 144 IDs and 124 healthy controls (HC).
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