Many psychology programs include a course on learning and behavior theories, and a frequent assignment used in these courses is a self-management project, where students select a behavior for change, develop strategies to change the behavior, and self-monitor the behavior across baseline and treatment conditions. This assignment has several benefits, such as effective behavior change; however, data indicate students are often dishonest about their implementation of strategies and behavioral outcomes, and the generalization of these experiences to further applications of behavior change, such as changing others' behavior, has not been evaluated. The purpose of the current project was to develop and evaluate an alternative to the self-management project. This article describes the planning, implementation, and outcomes over two iterations of an assignment where students engaged with behavior change strategies, but with the instructor as the subject rather than the self. A comparison is made to traditional self-management projects. Data indicate students enjoyed both projects and that both projects resulted in desired behavior change. Preliminary evidence suggests the alternative project is as effective as the self-management project at producing desired behavior change. Students reported similar preferences but no differences in data falsification across projects.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10700263 | PMC |
http://dx.doi.org/10.1007/s40617-023-00866-1 | DOI Listing |
Nurse Educ
October 2024
Author Affiliations: The Ohio State University College of Nursing, Columbus, Ohio (Dr Hoying, Mss Terry and Gray-Bauer, and Dr Melnyk); and The University of Arizona College of Nursing, Tucson, Arizona (Dr Kelly).
Background: Nursing students experience significantly more stress related diseases when compared to non-nursing students, and the state of their mental health can result in short-term increased attrition rates and increased nursing shortages.
Purpose: A preexperimental pre-post study design was used to examine mental health and healthy behaviors among prenursing students.
Methods: Cohorts received the MINDSTRONG© program either in-person or virtually.
Sci Rep
December 2024
Department of Neurology, Union Hospital of Jilin University, Changchun, 130000, China.
Alzheimer's disease (AD) is a severe neurodegenerative disease, and the most common type of dementia, with symptoms of progressive cognitive dysfunction and behavioral impairment. Studying the pathogenesis of AD and exploring new targets for the prevention and treatment of AD is a very worthwhile challenge. Accumulating evidence has highlighted the effects of fatty acid metabolism on AD.
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December 2024
School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
The purpose of this study was to explore the relationship between depression, cognitive function, social activities and activities of daily living ( ADL ), and verify whether social activities and ADL have a chain mediating effect between depression and cognitive function. Using the data of the fourth phase of the China Health and Retirement Longitudinal Study ( CHARLS ), 7547 elderly samples were studied. Correlation analysis and Bootstrap method were used to analyze the data to test whether social activities and ADL played a chain mediating role between depression and cognitive function in the elderly.
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December 2024
Faculty of Polymer Engineering, Sahand University of Technology, P.O. Box 51335-1996, Tabriz, Iran.
A thermochromic pigment, derived from reaction of ethylenediamine and rhodamine B known as MA-RB, has been successfully developed. This pigment showcases temperature-controlled visible color-transformation properties in both solid and solution states. The thermochromic pigment MA-RB exhibits a notable color change from light pink to rose red, triggered by thermal excitation.
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December 2024
Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il, 81481, Saudi Arabia.
Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking problems. The symptoms of Alzheimer's are similar throughout its development stages, which makes it difficult to diagnose manually. Therefore, artificial intelligence (AI) techniques address the limitations of manual diagnosis.
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