Introduced in the context of developmental psychopathology by Cicchetti and Rogosh in the , the current paper incorporates the principles of equifinality and multifinality to support the use of tiered models to prevent the development of emerging child psychopathology and promote school readiness in early childhood. We use the principles of equifinality and multifinality to describe the limitations of applying one intervention model to address all children presenting with different types of risk for early problem behavior. We then describe the potential benefits of applying a tiered model for having impacts at the population level and two initial applications of this approach during early childhood. The first of these tiered models, Smart Beginnings, integrates the use of two evidenced-based preventive interventions, Video Interaction Project, a universal parenting program, and Family Check-Up, a selective parenting program. Building on the strengths of Smart Beginnings, the second trial, The Pittsburgh Study includes Video Interaction Project and Family Check-Up, and other more and less-intensive programs to address the spectrum of challenges facing parents of young children. Findings from these two projects are discussed with their implications for developing tiered models to support children's early development and mental health.
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http://dx.doi.org/10.1017/S095457942400021X | DOI Listing |
Leukemia
January 2025
Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
Off-label hypomethylating agents and venetoclax (HMA/VEN) are often used for relapsed and refractory (R/R) AML patients. However, predictors of outcome are elusive. The objective of the current retrospective observational multicenter study of 240 adult patients (median age 68.
View Article and Find Full Text PDFSci Rep
January 2025
School of Electronic Information and Physics, Central South University of Forestry Science and Technology, Changsha, 410004, China.
Graph neural networks have excellent performance and powerful representation capabilities, and have been widely used to handle Few-shot image classification problems. The feature extraction module of graph neural networks has always been designed as a fixed convolutional neural network (CNN), but due to the intrinsic properties of convolution operations, its receiving domain is limited. This method has limitations in capturing global feature information and easily ignores key feature information of the image.
View Article and Find Full Text PDFImplement Sci Commun
January 2025
Center for School and Community Partnerships, Boise State University, Boise, ID, USA.
Background: Rural School Support Strategies (RS3) is a bundle of implementation supports (including training, technical assistance, and a virtual learning collaborative) designed for the scale-up of universal prevention initiatives. This study addresses mechanisms of action, exploring whether positive effects of RS3 on implementation fidelity are attributable to improvements in functioning of school implementation teams, and increases in organizational readiness.
Methods: Data are from a cluster-randomized hybrid Type 3 implementation-effectiveness trial of RS3 among rural Idaho schools implementing Positive Behavioral Interventions and Supports (PBIS).
Prostate Cancer Prostatic Dis
January 2025
Northwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.
Background: Traditional nomograms can inform the presence of extraprostatic extension (EPE) but not laterality, which remains important for surgical planning, and have not fully incorporated multiparametric MRI data. We evaluated predictors of side-specific EPE on surgical pathology including MRI characteristics and developed side-specific EPE risk calculators.
Methods: This was a retrospective cohort of patients evaluated with mpMRI prior to radical prostatectomy (RP) in our eleven hospital healthcare system from July 2018-November 2022.
Sci Rep
January 2025
School of Education, Shanghai Jiao Tong University, Shanghai, China.
Academic major selection is a critical decision-making process influenced by various socioeconomic factors. This study investigates the behavioral patterns in educational choices, focusing on the impact of urban-rural background and family cultural capital on college students' major selection in China. Employing a mixed-methods approach, we analyzed data from a nationwide sample of 19,772 college students across various institution types.
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