Although the Child and Adolescent Behavior Inventory (CABI) cognitive disengagement syndrome (CDS) scale has demonstrated validity relative to the CABI attention-deficit/hyperactivity disorder-inattention (ADHD-IN) scale with parent ratings of youth from North America, Europe, East Asia, and Central Asia, no study has evaluated the validity of the 15 symptom CDS scale with children from South America. Our purpose was to examine for the first time the validity of the CABI CDS scale with Brazilian children. Latent variable modeling procedures were used to examine the validity of CDS scores. Mothers and fathers completed measures of CDS, ADHD-IN, ADHD-hyperactivity/impulsivity (HI), anxiety, depression, and academic impairment on 366 Brazilian children (M = 8.64, SD = 1.39, 53.3% females). First, the CDS symptoms showed strong internal validity with the ADHD-IN symptoms. Second, within and across sources, ADHD-IN showed stronger first-order and unique associations than CDS with ADHD-HI, whereas CDS, especially across sources, showed stronger first-order and unique associations than ADHD-IN with anxiety and depression. CDS and ADHD-IN were similarly associated with academic impairment. This study is the first to support the validity of CABI CDS scores with Brazilian children, thus replicating the findings in North America, Europe, East Asia, and the Central Asia in South America.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10578-024-01789-wDOI Listing

Publication Analysis

Top Keywords

brazilian children
16
south america
12
cds scale
12
cds
10
cognitive disengagement
8
disengagement syndrome
8
north america
8
america europe
8
europe east
8
east asia
8

Similar Publications

Atherosclerotic vascular changes can begin during childhood, providing risk for cardiovascular disease (CVD) in adulthood. Identifiable risk factors such as dyslipidemia accelerate this process for some children. The apolipoprotein B (APOB) gene could help explain the inter-individual variability in lipid levels among young individuals and identify groups that require greater attention to prevent CVD.

View Article and Find Full Text PDF

Objective: Disordered Eating Behaviors (DEB) are associated with dysfunctional changes in eating behavior, not meeting diagnostic criteria for eating disorders. DEB affects a significant percentage of individuals, yet it remains under-researched. The current study investigates the developmental trajectory and psychopathological correlates of DEB in children and adolescents in Brazil.

View Article and Find Full Text PDF

Mass spectrometry (MS)-based metabolomics often rely on separation techniques when analyzing complex biological specimens to improve method resolution, metabolome coverage, quantitative performance, and/or unknown identification. However, low sample throughput and complicated data preprocessing procedures remain major barriers to affordable metabolomic studies that are scalable to large populations. Herein, we introduce PeakMeister as a new software tool in the R statistical environment to enable standardized processing of serum metabolomic data acquired by multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS), a high-throughput separation platform (<4 min/sample) which takes advantage of a serial injection format of 13 samples within a single analytical run.

View Article and Find Full Text PDF

Novel isothermal nucleic acid amplification method for detecting malaria parasites.

Appl Microbiol Biotechnol

December 2024

Laboratório de Pesquisa em Malária, Instituto Oswaldo Cruz (IOC), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.

Malaria, a parasitic disease caused by Plasmodium spp. and transmitted by Anopheles mosquitoes, remains a major global health issue, with an estimated 249 million cases and 608,000 deaths in 2022. Rapid and accurate diagnosis and treatment are crucial for malaria control and elimination.

View Article and Find Full Text PDF

Background: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of identifying these conditions presents an opportunity for artificial intelligence (AI)-driven, remotely available, tools capable of screening and monitoring mental health. A critical criterion for such tools is their cultural adaptability to ensure effectiveness across diverse populations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!