Chronic health conditions (CHC; e.g., cystic fibrosis, type 1 diabetes) in children are associated with disease-specific physical symptoms that contribute to a high prevalence of sleep problems. Sleep problems exacerbate other health-related sequelae and can impede therapeutic response to health treatments, increasing the overall complexity of symptom management. Psychosocial sleep interventions (PSI) improve sleep in children with typical development and neurodevelopmental conditions. Yet, the effectiveness of PSI for children with CHC has scarcely been investigated. This systematic review appraises the literature examining the effectiveness and acceptability of PSI for children with CHC. A search identified 20 studies that met inclusion criteria. Data related to participant characteristics, sleep targets, research design and methods, measures, sleep outcomes and collateral effects were extracted. Study rigor was then evaluated. Most studies evaluated youth-directed Cognitive Behavioral Therapy for Insomnia or parent-implemented behavioral sleep interventions. Twelve studies demonstrated positive sleep treatment effects and four demonstrated mixed effects. Collateral improvements were reported in child mental health and parental health and well-being, though physical health benefits for children were not consistently reported. One, five and 14 studies were rated as having strong, adequate, and weak methodological rigor respectively. Recommendations for clinical practice and future research are made.
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http://dx.doi.org/10.1016/j.smrv.2024.101962 | DOI Listing |
Psychiatr Q
January 2025
Educational psychology, The Hashemite University, Queen Rania Faculty for Childhood, Early Childhood Department, Zarqa, Jordan.
The current paper aimed to estimate the network structure of general psychopathology (internalizing and externalizing symptoms/disorders) among 239 gifted children in Jordan. This cross-sectional study with a convenience sampling method was conducted between September 2023 and October 2024 among gifted children aged 7-12. The Child Behavior Checklist (CBCL) was employed to assess six symptom clusters: conduct problems, attention-deficit/hyperactivity disorder (ADHD), and oppositional defiant problems as externalizing symptoms, and affective problems, anxiety issues, and somatic complaints as internalizing symptoms.
View Article and Find Full Text PDFSleep Breath
January 2025
Department of Psychiatry, Chungnam National University Hospital, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, South Korea.
Purpose: Comorbid insomnia and obstructive sleep apnea (COMISA) present significant clinical challenges, given their overlapping symptoms and detrimental effects on health. Only a few studies have explored sex differences in patients with obstructive sleep apnea (OSA) and COMISA. This retrospective study investigated sex differences in psychiatric symptoms and polysomnographic findings between patients with COMISA and those with OSA alone.
View Article and Find Full Text PDFPulm Ther
January 2025
Bio-Medical Research Center, Lam Dong Medical College, Dalat, Vietnam.
Introduction: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder among children with attention deficit hyperactivity disorder (ADHD). This study aims to determine the prevalence of OSA in children with ADHD, compare the differences in clinical characteristics between children with ADHD-OSA and those without OSA (ADHD-nonOSA), and to identify the correlation between OSA and ADHD in children.
Methods: This cross-sectional descriptive study was conducted on 524 children with ADHD, aged 6-12 years, at the Vietnam National Children's Hospital from October 2022 to September 2023.
Background: Polysomnography (PSG) is resource-intensive but remains the gold standard for diagnosing Obstructive Sleep Apnea (OSA). We aimed to develop a screening tool to better allocate resources by identifying individuals at higher risk for OSA, overcoming limitations of current tools that may under-diagnose based on self-reported symptoms.
Methods: A total of 884 patients (490 diagnosed with OSA) were included, which was divided into the training, validation, and test sets.
Menopause
January 2025
From the School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China.
Objective: This study aims to develop and validate a machine learning model for identifying individuals within the nursing population experiencing severe subjective cognitive decline (SCD) during the menopause transition, along with their associated factors.
Methods: A secondary analysis was performed using cross-sectional data from 1,264 nurses undergoing the menopause transition. The data set was randomly split into training (75%) and validation sets (25%), with the Bortua algorithm employed for feature selection.
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