Objective: Child developmental rate holds predictive value for early-stage developmental trajectories, yet few studies explored how sleep problems during different infancy stages impact this rate. This study aims to investigate the correlation between sleep problems and child developmental trajectories.
Methods: This study utilized a prospective national cohort of 5006 children in Taiwan. The developmental inventories covering motor, cognitive, language, and socioemotional domains were collected through questionnaire-based in-person home interviews conducted at 3, 12, 24, and 36 months. Sleep problems data, encompassing bedtime regularity, sleep duration, and sleep quality, were collected at 3 and 12 months. Child developmental rate was assessed by analyzing the slope of developmental ability estimates over a period of time.
Results: Bedtime regularity and high-quality sleep at 3 and 12 months were found to be significantly associated with intercepts across all domains (estimate = -0.196∼0.233, p < 0.033). Children with high-quality sleep at 3 months showed enhanced developmental slopes in socioemotional domains (estimate = 0.032, p < 0.001). Atypical sleep duration at 3 and 12 months had differential detrimental association with child development in various domains (estimate = -0.108∼-0.016, p < 0.048).
Conclusion: The relationship between sleep problems and child development exhibited variability based on the timing of exposure to these issues. Early exposure to low-quality sleep was significantly related to developmental functions and socioemotional developmental rate, potentially leading to increased developmental disparities as children age. Inadequate sleep duration in late infancy and excessive sleep duration in early infancy were both negatively associated with child development trajectories. Policymakers can use these findings to design targeted sleep programs for optimal child development.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.sleep.2024.02.018 | 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).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!