[Physical activity for prevention and therapy of internal diseases in the elderly]

The Effect of Tai Chi (Bafa Wubu) Training and Artificial Intelligence-Based Movement-Precision Feedback on the Mental and Physical Outcomes of Elderly

(1) Background: This study aims to compare the effects of AI-based exercise feedback and standard training on the physical and mental health outcomes of older adults participating in a 4-week tai chi training program. (2) Methods: Participants were divided into three groups: an AI feedback group received real-time movement accuracy feedback based on AI and inertial measurement units (IMUs), a conventional feedback group received verbal feedback from supervisors, and a control group received no feedback. All groups trained three times per week for 8 weeks. Outcome measures, including movement accuracy, balance, grip strength, quality of life, and depression, were assessed before and after the training period. (3) Results: Compared to pre-training, all three groups showed significant improvements in movement accuracy, grip strength, quality of life, and depression. Only the AI feedback group showed significant improvements in balance. In terms of movement accuracy and balance, the AI feedback group showed significantly greater improvement compared to the conventional feedback group and the control group. (4) Conclusions: Providing real-time AI-based movement feedback during tai chi training offers greater health benefits for older adults compared to standard training without feedback.

The Influence of Physical Activity, Anxiety, Resilience and Engagement on the Optimism of Older Adults

The purpose of this study was to learn how physical activity, anxiety, resilience and engagement can influence optimism in older adults. An observational, quantitative, descriptive and transversal design was used with non-probabilistic sampling. A descriptive statistical analysis of the sample, Cronbach's alpha test of internal consistency and linear correlation using Pearson's correlation coefficient (r) were performed. In addition, a t-Student test, analysis of variance (ANOVA), Kolmogorov-Smirnov test of normality and Levene test of homogeneity, as well as a multivariate linear regression model, were conducted. Participants who had not engaged in physical activity showed an increased total anxiety and significantly greater decrease in concentration compared to those who had engaged in physical activity. The Revised Life Orientation Test (LOT-R), Utrecht Work Engagement Scale (UWES) and resilience of participants who had not engaged in physical activity were significantly lower than those of the participants who had engaged in physical activity. Those with a partner showed significantly lower decreases in concentration compared to single women. Regarding UWES, the current scores and dedication of couples were significantly higher than singles, as for resilience. In addition, the levels of pessimism in participants living on the coast were significantly higher compared to those living inland; in addition, a greater number of days with less anxiety is seen in those who performed physical activity. A multivariate linear regression model, F(7, 349) = 30.6, p < 0.001, explained 38% of the variance of LOT-R; those attending a public center had a lower LOT-R than those who did not, and high values of anxiety were associated with low levels of LOT-R, while high values of resilience were associated with high values of LOT-R. The results from the study provide support for future programs for older adults, in order to be able to determine in a much more precise way the objectives of programs intended for users of this age group.