Introduction: Behaviour change interventions are advocated as a key approach to manage behavioural risk factors such as insufficient physical activity, poor diet and smoking. Integrated motivational interviewing and cognitive behavioural therapy (MI-CBT) interventions have become increasingly popular to promote behaviour change; however, there is a lack of agreement as to what constitutes necessary components of MI-CBT interventions for lifestyle behaviour change. The primary objective of this study is to use a consensus method to develop guidelines to design and deliver MI-CBT interventions for lifestyle behaviour change.
Methods: A three-round modified Delphi study will be conducted with an expert, international panel of clinicians and researchers. An online survey will be developed from assessments of key MI-CBT literature and practice guides to identify commonly used components of individually delivered MI and CBT interventions. In each round, participants will rate the extent to which they agree with each component using a Likert scale. Responses from Rounds 1 and 2 will be presented to participants in subsequent rounds. Responses will be represented using bar graphs and include the median and IQR of participants' responses. To encourage consensus, participants will be asked to consider the group responses before finalising their opinion to the statements. If at least 80% of the experts agree to a statement in Rounds 2 or 3, it will be included in a final list of necessary statements.
Discussion: This modified Delphi process will help transparency in the design and implementation of MI-CBT interventions. The consensus statement will also help reporting and comparability among effectiveness studies for MI-CBT intervention studies, and help inform research, policy and practice.
Ethics And Dissemination: Ethical approval has been granted by the La Trobe University Human Research Ethics Committee (approval number HEC24066). The results will be disseminated via peer-reviewed publications, conferences and international professional associations.
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http://dx.doi.org/10.1136/bmjopen-2024-088988 | 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
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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December 2024
Faculty of Mechanical Engineering, Brno University of Technology, Technická 2, Brno, Czechia, Czechia.
Magnetorheological (MR) fluids can be utilized in one of the fundamental operating modes of which the gradient pinch mode has been the least explored. In this unique mode non-uniform magnetic field distributions are taken advantage of to develop a so-called Venturi-like contraction in MR fluids. By adequately directing magnetic flux the material can be made solidified in the regions near the flow channel wall, thus creating a passage in the middle of the channel for the fluid to pass through.
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