Objectives: To examine levels of knowledge about dementia and attitudes towards dementia in low- and middle-income countries (LMICs), identify sources to turn to for help, and explore the relationship between knowledge and attitudes.
Methods: This mixed methods study with both quantitative (a cross-sectional survey) and qualitative (focus group interviews) components was conducted in Cambodia, the Philippines, and Fiji in 2017-18. A survey was completed by the citizens of the three countries, and two focus group interviews were conducted in each country to generate a context-specific understanding of dementia literacy within the local LMIC setting. The quantitative component utilized the Alzheimer's Disease Knowledge Scale and the Dementia Attitude Scale, while knowledge, attitudes, and views on seeking help for dementia was discussed in the focus group interviews (qualitative component).
Results: A total of 476 participants completed the survey. Another 54 participants (39 females and 15 males) were invited to join six focus group interviews to express their views on dementia. Positive attitudes were noted despite the level of dementia knowledge was low. Families and religious figures were viewed as the sources for help. Controlling for demographics, country-specific predictors of positive attitudes towards dementia were found.
Conclusions: The involvement of family members and religious leaders in dementia education could enhance the recognition of dementia. Specific kinds of dementia knowledge should be targeted to educate the public in different countries.
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http://dx.doi.org/10.1002/gps.5197 | DOI Listing |
Biomed Phys Eng Express
January 2025
F. Joseph Halcomb III, MD, Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave., Lexington, Kentucky, 40506, UNITED STATES.
Brain-computer interfaces (BCIs) offer disabled individuals the means to interact with devices by decoding the electroencephalogram (EEG). However, decoding intent in fine motor tasks can be challenging, especially in stroke survivors with cortical lesions. Here, we attempt to decode graded finger extension from the EEG in stroke patients with left-hand paresis and healthy controls.
View Article and Find Full Text PDFAnn Intern Med
January 2025
959 Medical Operations Squadron, U.S. Air Force, Department of Neurology, Brooke Army Medical Center, San Antonio, Texas (T.K.).
Description: In July 2024, the U.S. Department of Veterans Affairs (VA) and U.
View Article and Find Full Text PDFJMIR Diabetes
January 2025
Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Background: Beyond physical health, managing type 1 diabetes (T1D) also encompasses a psychological component, including diabetes distress, that is, the worries, fears, and frustrations associated with meeting self-care demands over the lifetime. While digital health solutions have been increasingly used to address emotional health in diabetes, these technologies may not uniformly meet the unique concerns and technological savvy across all age groups.
Objective: This study aimed to explore the mental health needs of adolescents with T1D, determine their preferred modalities for app-based mental health support, and identify desirable design features for peer-delivered mental health support modeled on an app designed for adults with T1D.
J Particip Med
January 2025
Division of Allergy & Pulmonary Medicine, Washington University School of Medicine, St Louis, MO, United States.
Background: Adolescents and young adults (AYA) with cystic fibrosis (CF) are at risk for deviating from their daily treatment regimen due to significant time burden, complicated daily therapies, and life stressors. Developing patient-centric, effective, engaging, and practical behavioral interventions is vital to help sustain therapeutically meaningful self-management.
Objective: This study aimed to devise and refine a patient-centered telecoaching intervention to foster self-management in AYA with CF using a combination of intervention development approaches, including an evidence- and theory-based approach (ie, applying existing theories and research evidence for behavior change) and a target population-centered approach (ie, intervention refinement based on the perspectives and actions of those individuals who will use it).
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