Background: Previous studies have found considerable overlap between attention/hyperactivity problems, aggressive/oppositional problems and delinquent/conduct problems in adolescents.
Sampling And Methods: Mothers of 1,965 11- to 18-year-olds (1,116 boys, 849 girls), referred to mental health agencies, completed the Child Behavior Checklist (CBCL). Latent class analysis was conducted on the Attention Problems scale (representing problems with attention, impulsivity and hyperactivity), Aggressive Behavior and Rule-Breaking Behavior scales of the CBCL.
Results: Six latent classes were found. One of these classes contained individuals who suffered predominantly from attention problems and to a far lesser degree from aggressive or rule-breaking behaviors. The other 5 classes represented individuals with varying degrees of attention problems, aggressive behaviors and rule-breaking behaviors.
Conclusions: Contrary to previous studies, the present study indicated that, in a large referred sample, problems with attention, impulsivity and hyperactivity can be considered as a diagnostic construct that should be distinguished from aggressive or rule-breaking behaviors. However, the present study did not support the existence of diagnostic classes constituted by individuals who primarily suffer from aggressive behaviors or rule-breaking behaviors, and not from attention problems or hyperactivity. Implications of these findings for future research and clinical practice are discussed. The value of the study was limited by the use of parent reports only.
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http://dx.doi.org/10.1159/000107428 | DOI Listing |
Sci Rep
January 2025
College of Computer and Information Engineering, Nanjing Tech University, Nanjing, 211800, China.
Graph data is essential for modeling complex relationships among entities. Graph Neural Networks (GNNs) have demonstrated effectiveness in processing low-order undirected graph data; however, in complex directed graphs, relationships between nodes extend beyond first-order connections and encompass higher-order relationships. Additionally, the asymmetry introduced by edge directionality further complicates node interactions, presenting greater challenges for extracting node information.
View Article and Find Full Text PDFThe present study examined how individuals who have been clinically diagnosed as obese explain their decision to undergo bariatric surgery and how they deal with the stigmatization that such a decision may entail. A total of 23 participants (15 women and 8 men) who were awaiting bariatric surgery within the Spanish healthcare system, were interviewed about their weight trajectory and their decision to undergo this surgery. In order to examine the participants' stories, a narrative analysis of the interviews was conducted, with attention to both content ( they told) and structure ( they told) and examining the stories in line with the socially and culturally available narratives that they had access to, and the context in which the stories were produced.
View Article and Find Full Text PDFPLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Background: Global populations are aging, and the numbers of stroke survivors is increasing. Consequently, the need for caregiver support has increased. Because of this and demographic and socioeconomic changes, foreign caregivers are increasingly in demand in many developed countries.
View Article and Find Full Text PDFPLoS One
January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
January 2025
Department of Psychology, St. Petersburg State University, St. Petersburg, Russian Federation.
The paper analyzes current discussions concerning the so called "replicability crisis" - a notion describing difficulties in attempts to confirm existing research findings by their additional scrutiny or by new empirical studies. We propose interpretation that this "crisis" may be seen as a manifestation of the increasing inconsistency between, on the one hand, the outdated views on a human being and social structures dominating in the academic mainstream across various disciplines, including psychology and sociology, and, on the other hand, the reality of the emerging new stage of societal evolution, neo-structuration, which brings to the forefront individual agency. Our analysis suggests the possibilities for the future inter-disciplinary paradigmatic shift, which implies putting in the center of research not the idea of a constant or predictably developing individual in the context of solid external structures operating in line with a presumably sustainable "progress".
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