Background: 13-18% of all preschool children have severe behavioral problems at least transiently, sometimes with long-term adverse consequences. In this study, the social training program "Lubo aus dem All! - Vorschulalter" (Lubo from Outer Space, Preschool Version) was evaluated in a kindergarten setting.
Methods: 15 kindergartens were randomly assigned to either an intervention group or a control group, in a 2:1 ratio. The intervention was designed to strengthen emotional knowledge and regulation, the ability to take another person's point of view, communication skills, and social problem solving. The control group continued with conventional kindergarten activities. The primary endpoint was improvement in social-cognitive problem solving strategies, as assessed with the Wally Social Skills and Problem Solving Game (Wally). Secondary endpoints were improvement in prosocial behavior and reduction in problematic behavior, as assessed with the Preschool Social Behavior Questionnaire (PSBQ) and the Caregiver-Teacher Report Form (C-TRF). Data were collected before and after the intervention and also 5 months later. Mixed models were calculated with random effects to take account of the cluster design and for adjustment for confounding variables.
Results: 221 children in kindergarten, aged 5-6 years, were included in the study. Randomization was unsuccessful: the children in the intervention group performed markedly worse on the tests carried out before the intervention. Five months after the end of the intervention, the social-cognitive problem solving strategies of the children in the intervention group had improved more than those of the children in the control group: the intergroup difference in improvement was 0.79 standard deviations of the Wally test (95% confidence interval [CI] 0.13-1.46). This effect was just as marked 5 months later (0.63, 95% CI 0.03-1.23). Prosocial behavior, as measured by the PSBQ, also improved more in the intervention group, with an intergroup difference of 0.37 standard deviations (95% CI 0.05-0.71).
Conclusion: An age-appropriate program to prevent behavioral disorders among kindergarten children improved both the children's knowledge of prosocial problem solving strategies and their prosocial behavior.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627209 | PMC |
http://dx.doi.org/10.3238/arztebl.2015.0647 | DOI Listing |
Trends Cogn Sci
January 2025
Department of Psychology, Humboldt University Berlin, Berlin, Germany; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
Creative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models and thereby enhancing memory.
View Article and Find Full Text PDFRadiography (Lond)
January 2025
Department of Radiography, School of Allied Health Sciences, Faculty of Health Sciences and Veterinary Medicine, University of Namibia, P.O Box 13301, Windhoek, Namibia. Electronic address:
Introduction: Patient-centred care (PCC) is essential in radiography for polytrauma patients emphasising empathy, clear communication, and patient well-being. Polytrauma patients require tailored imaging approaches, often involving multiple modalities. Managing and handling these patients during imaging are key components of radiography training to develop the necessary competencies.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Product & Systems Design Engineering, University of the Aegean, 84100 Syros, Greece.
This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-hard traveling salesman problem (TSP), in environments with both static and dynamic obstacles. The proposed approach integrates a novel path planning algorithm based on the Bump-Surface concept to optimize the shortest collision-free path among static obstacles, while a Genetic Algorithm (GA) is employed to determine the optimal sequence of goal points. To manage static or dynamic obstacles, two fuzzy controllers are developed: one for real-time path tracking and another for dynamic obstacle avoidance.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Cyber Science and Engineering, Liaoning University, Shenyang 110036, China.
Recently, there has been a growing interest in underground construction safety, during activities such as subway construction, underground mining, and tunnel excavation. While Internet of Things (IoT) sensors help to monitor these conditions, large-scale deployment is limited by high power needs and complex tunnel layouts, making real-time response a critical challenge. A delay-sensitive multi-sensor multi-base-station routing scheduling method is proposed for the IoT in underground mining.
View Article and Find Full Text PDFMolecules
January 2025
Department of Physics, School of Physical Science and Technology, Ningbo University, Ningbo 315211, China.
Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. However, traditional direct methods often converge to local minima during electron density iteration, leading to reconstruction failure. Here, we present an enhanced direct method incorporating genetic algorithms for electron density modification in real space.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!