Objective: To comprehensively examine the behavioral phenotypes of children with and without executive function (EF) impairments in a clinical sample of youth with obesity.
Methods: Youth aged 8 to 17 years (Mean age = 12.97) attending a medical clinic for obesity and their caregivers (N = 195 dyads) completed a battery of behavioral questionnaires. Caregiver-proxy report of EF was assessed using the Behavior Rating Inventory of Executive Function. Latent Class Analysis was conducted to identify EF groupings. Analysis of variance and chi-square tests were conducted to examine associations between EF groups and behavioral phenotypes.
Results: Four latent classes of EF impairment were identified (No/Low Impairment; Behavioral Regulation Impairment; Metacognition Impairment; Global Impairment). There was an overall positive pattern of associations between these EF groups and behavioral/emotional symptoms, such that behavioral/emotional symptoms tended to increase with EF impairment.
Conclusions: Children with obesity and EF impairment demonstrate a dysregulated behavioral phenotype ranging from internalizing to externalizing behavioral and weight-related symptoms. This phenotype framework may be clinically beneficial for utilizing screening/assessment results to develop, tailor, and/or match treatment approaches in pediatric obesity.
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http://dx.doi.org/10.1111/ijpo.12655 | DOI Listing |
Objective: To explore the lived experiences and extent of cognitive symptoms in Long COVID (LC) in a UK-based sample.
Design: This study implemented a mixed-methods design. Eight focus groups were conducted to collect qualitative data, and the Framework Analysis was used to reveal the experiences and impact of cognitive symptoms.
J Prev Alzheimers Dis
February 2025
Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: Cognitive training (CT) has been one of the important non-pharmaceutical interventions that could delay cognitive decline. Currently, no definite CT methods are available. Furthermore, little attention has been paid to the effect of CT on mood and instrumental activities of daily living (IADL).
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
Background: Recent disease-modifying treatments for Alzheimer's disease show promise to slow cognitive decline, but show no efficacy towards reducing symptoms already manifested.
Objectives: To investigate the efficacy of a novel noninvasive brain stimulation technique in modulating cognitive functioning in Alzheimer's dementia (AD).
Design: Pilot, randomized, double-blind, parallel, sham-controlled study SETTING: Clinical research site at UT Southwestern Medical Center PARTICIPANTS: Twenty-five participants with clinical diagnoses of AD were enrolled from cognition specialty clinics.
Age Ageing
January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: A mobile cognition scale for community screening in cognitive impairment with rigorous validation is in paucity. We aimed to develop a digital scale that overcame low education for community screening for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and AD.
Methods: A mobile cognitive self-assessment scale (CogSAS) was designed through the Delphi process, which is feasible for the older population with low education.
Ann Clin Transl Neurol
January 2025
NEUROFARBA Department, Neurosciences Section, University of Florence, Florence, Italy.
Objectives: We aim to investigate cognitive phenotype distribution and MRI correlates across pediatric-, elderly-, and adult-onset MS patients as a function of disease duration.
Methods: In this cross-sectional study, we enrolled 1262 MS patients and 238 healthy controls, with neurological and cognitive assessments. A subset of 222 MS patients and 92 controls underwent 3T-MRI scan for brain atrophy and lesion analysis.
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