Self-regulation is associated with life satisfaction, well-being, and life success. For adolescents, who may be exposed to peer pressure and engage in risky behaviors, the ability to self-regulate or control emotions, thoughts, and behaviors is crucial for healthy development. While self-regulatory skills have long been recognized as important for many areas of life, instruments to measure self-regulation remain limited, especially in Poland. The aim of this study was to adapt and validate the Self-Regulation Scale in the Polish adolescent sample. The data for this study were obtained as part of the Health Behavior in School-aged Children 2021/2022 pilot study. Exploratory and confirmatory factor analyses confirmed that the instrument has satisfying psychometric properties. A three-factor structure of the instrument was obtained with cognitive, behavioral, and emotional subscales, which corresponds to the original instrument and theoretical assumptions. The final version of instrument contains 24 items, and based on the statistical analysis, it is concluded that it is suitable to be used in adolescent samples.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223792 | PMC |
| http://dx.doi.org/10.3390/ijerph19127432 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models.
PLoS Comput Biol
January 2025
Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. Large scale genomics deep learning models come in two flavors: the first are large language models of DNA sequences trained in a self-supervised fashion, similar to the corresponding natural language models; the second are supervised learning models that leverage large scale genomics datasets from ENCODE and other sources.
View Article and Find Full Text PDFImproving GPs' Emotional Intelligence and Resilience to Better Manage Chronic Respiratory Diseases Through an Experiential Online Training Intervention: A Mixed Methods Study.
Healthcare (Basel)
December 2024
Department of Social Medicine, School of Medicine, University of Crete, 71500 Heraklion, Greece.
Background/objectives: High levels of emotional intelligence (EI) and resilience in primary care physicians (PCPs) can help them communicate better with patients, build stronger relationships with colleagues, and foster a positive and collaborative workplace. However, studies have indicated that primary care physicians (PCPs) often do not focus enough on developing these skills. Consequently, the purpose of this mixed methods study was to evaluate the effectiveness of an experiential online training (EOT) intervention in enhancing the EI and resilience of PCPs who treat patients with chronic respiratory diseases (CRDs).
View Article and Find Full Text PDFThis study investigates whether lower self-regulation (SR) facets are risk factors for internalizing symptoms (vulnerability models), consequences of these symptoms (scar models), or develop along the same continuum and thus share common causes (spectrum models) during middle childhood. To analyze these models simultaneously, a random intercept cross-lagged panel model was estimated using Mplus. Data were assessed at three measurement time points in a community-based sample of = 1657 (52.
View Article and Find Full Text PDFEffects of the Early Start Denver Model on emotional dysregulation and behavior problems in children with Autism spectrum disorder : Effects of the early start Denver model on emotional dysregulation and behavior problems in Chinese children with Autism spectrum disorder.
BMC Pediatr
January 2025
Department of Developmental and Behavioral Pediatrics, Children's Medical Center, The First Hospital of Jilin University, Changchun, China.
Background: Most previous studies have focused on the clinical efficacy after intervention of ESDM, particularly in core symptoms. However, only a few have paid attention to the effectiveness of ESDM on emotional dysregulation and behavior problems in children with ASD. This study aimed to explore the effect of the ESDM on addressing emotional dysregulation and behavior problems in children with ASD in China, as well as its correlation with core symptoms of ASD.
View Article and Find Full Text PDFDeciphering the psychological tapestry of FGIDs: unveiling the impact of negative affect, rumination, and expression suppression.
BMC Public Health
January 2025
School of Psychology, Guizhou Normal University, Guizhou, China.
Background: Functional Gastrointestinal Disorders (FGIDs) constitute a group of psychosomatic diseases characterized primarily by disruptions in the functioning of the digestive system, profoundly impacting the lives of affected individuals.
Objective: This study aims to investigate the influence of negative affect (NA) on the gastrointestinal symptoms of FGID patients, as well as the mediating role of rumination and the regulatory effects of expression suppression (ES) as an emotional regulation strategy.
Methods: A survey was conducted on 1000 patients (403M, 597F) with gastrointestinal disorders at a tertiary hospital using the negative affect subscale from the DS-14 (Type D Personality Scale), the Gastrointestinal Symptom Rating Scale (GSRS), the Rumination Response Scale (RRS), and the expression suppression subscale from the Gross-John Emotion Regulation Strategy.
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!