Background: A Psychomotor DANCe Therapy INtervention (DANCIN) using Latin Ballroom (Danzón) in care homes has previously been shown to enhance well-being for both residents with dementia and staff. The aim of this study was to understand the effect of this approach on the mood and behavior of individual people living with mild to moderate dementia.
Method: A multiple-baseline single-case study across two care homes and one nursing home with 3-6 weeks baseline, 12-weeks DANCIN (30 minutes/twice-weekly sessions), and 12-weeks follow-up was conducted. Seventeen items from the Dementia Mood Assessment Scale (DMAS) outcome measure were adapted with input from senior staff to match participants' behavior and mood symptoms. Daily monitoring diaries were collected from trained staff on reporting individualized items for ten residents. Data were analyzed, using a non-parametric statistical method known as Percentage of All Non-Overlapping Data (PAND) which provides Phi effect size (ES). Medication use, falls, and life events were registered.
Results: Seven residents participated throughout DANCIN whilst three became observers owing to health deterioration. One participant showed adverse effects in three DMAS items. Nine participants, dancers and observers, showed a small to medium magnitude of change (PAND) in 21 DMAS items, indicating a decrease in the frequency of behavior and mood indices which were regarded as problematic; eight items showed no change.
Conclusion: Despite methodological challenges, the DANCIN model has the potential to facilitate and sustain behavior change and improve mood (e.g. decrease irritability, increase self-esteem) of the residents living with dementia. The study was conducted in two care homes and one nursing home, strengthening the interventions' validity. Findings suggest DANCIN is appropriate for a larger controlled feasibility study.
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http://dx.doi.org/10.1017/S104161021600051X | DOI Listing |
JMIR AI
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Faculty of Social Science, Ruhr University Bochum, Bochum, Germany.
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Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, Copenhagen, 2200, Denmark.
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Department of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-8580, Fukushima, Japan.
In the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the location and number of occupants for energy savings. Additionally, in homes requiring special care, it can provide timely assistance.
View Article and Find Full Text PDFNutrients
January 2025
Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1870 Frederiksberg, Denmark.
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View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA.
White blood cells (WBCs), also known as leukocytes, are one of the most significant parts of the immune system. They generate antibodies, protect the body from illnesses, and heal wounds. Accurate estimation of WBCs is key for diagnosing cancer, infections, leukemia, lymphoma, and other diseases.
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