The major aim of this study was to examine the role of social problem solving in the relationship between personality and substance use in adolescents. Although a number of studies have identified a relationship between personality and substance use, the precise mechanism by which this occurs is not clear. We hypothesized that problem-solving skills could be one such mechanism. More specifically, we sought to determine whether problem solving mediates, moderates, or both mediates and moderates the relationship between different personality traits and substance use. Three hundred and seven adolescents were administered the Substance Use Profile Scale, the Social Problem-Solving Inventory-Revised, and the Personality Experiences Inventory to assess personality, social problem-solving ability, and substance use, respectively. Results showed that the dimension of rational problem solving (i.e., effective problem-solving skills) significantly mediated the relationship between hopelessness and lifetime alcohol and marijuana use. The theoretical and clinical implications of these results were discussed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.beth.2008.03.001 | DOI Listing |
Eval Health Prof
January 2025
Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, China.
Innovation in healthcare is crucial for enhancing patient care and operational efficiency. Nurses often experience stress that may impede the process of innovation. This study utilizes the Job Demands-Resources model and Cognitive Appraisal Theory to investigate the impact of challenge stress, work rumination, and information literacy on the expression of innovative behaviors among nurses.
View Article and Find Full Text PDFBiomed Tech (Berl)
January 2025
College of Ocean, Jiangsu University of Science and Technology, Zhenjiang, China.
Objectives: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognition research is to provide more natural, convenient, and personalized human-computer interaction, which makes research in this field have considerable application prospects in rehabilitation technology. However, the existing gesture recognition algorithms still need to be further improved in terms of global feature capture, model computational complexity, and generalizability.
View Article and Find Full Text PDFInt J Med Educ
January 2025
Department of Medicine, Vanderbilt University Medical Center, USA.
Objectives: We aimed to determine if shared decision-making (SDM) self-assessment of a standardized patient (SP) scenario was reliable, specifically whether students' communication resulted in each SP-student pair reporting internally consistent final treatment choices. We hypothesized student self-assessment would differ from SP and faculty assessment indicating a need for multisource feedback.
Methods: In this observational case study from 2016-2017, all third-year post-clerkship medical students received evidence-based treatment options for sinusitis and SDM lectures followed by a SP encounter on sinusitis.
J Dent Sci
January 2025
School of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Background/purpose: Traditional dental education faces challenges, such as high student-to-faculty ratios and disruptions like the COVID-19 pandemic, which limit hands-on learning opportunities. Digital technologies, including intraoral scanners, offer potential solutions by improving accuracy and efficiency in clinical practice. This study explored the integration of digital tools in a self-directed learning model for the fixed prosthodontic tooth preparation.
View Article and Find Full Text PDFFront Psychol
January 2025
School of Education and Human Development, Center for the Advanced Study of Teaching and Learning, University of Virginia, Charlottesville, VA, United States.
Children experience a variety of emotions in achievement settings. Yet, mathematics-related emotions other than anxiety are understudied, especially for young children entering primary school. The current study reports the prevalence and intensity of six basic, discrete achievement emotions (joy/happiness, sadness, surprise, anger, fear, and disgust) expressed on the faces of 15 kindergarten-aged children as they solved increasingly complex arithmetic story problems in a 3-month teaching experiment.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!