مطالب

Purpose: The world is getting old. Alzheimer's disease is a progressive disease, which in case of no intervention, this ratio reaches 4 more advanced stages in people over 85 years old. Some methods have shown that they can be effective in preventing and slowing down the course of the disease. The purpose of this study was to investigate the role of aerobic exercise program on the quality and some physiological parameters related to sleep in the elderly with Alzheimer's disease. Method: 22 elderly people with Alzheimer's disease were randomly divided into two groups of 11 people: aerobic exercise and control. The subjects in the aerobic training group practiced three sessions every week for twelve weeks and each session lasted for 45 minutes. The sleep quality of the subjects was evaluated by the Pittsburgh Sleep Quality Questionnaire (PSQI). Physiological variables related to sleep (TG, TC, LDL, HDL) were also measured by blood sampling before and after twelve weeks of aerobic exercise Results: The results showed that the sleep quality of the subjects improved by 31% in the Pied Heroi group, which was statistically significant. In addition, there was a significant improvement in the changes of TG (p=0.034), TC (p=0.017), LDL (p=0.006), and HDL (p=0.016) in the aerobic training group. The results of the independent t test also showed that there was a significant difference in sleep quality between the aerobic training and control groups. However, no relationship was observed between changes in sleep quality and changes in physiological variables related to sleep. Conclusion: It can be concluded that twelve weeks of aerobic exercise improves sleep quality along with some physiological parameters related to sleep in the elderly with Alzheimer's disease and will be useful as a way to treat sleep problems in the elderly.

The aim of this mixed-methods study is to develop a model for the development of insurance fields in the sports industry in Iran with a systematic data-based approach in the qualitative phase and a survey approach in the quantitative section. The data collection tools included document review, experts’ interviews, and questionnaires, which its reliability and validity were validated. The participants in the qualitative section consisted of 21 university professors in sports management familiar with insurance issues and insurance industry experts familiar with the sports industry selected by purposive sampling approach in 2022. The statistical population in the quantitative section consisted of insurance sales networks and sports executive bodies. Based on the Morgan table, 384 individuals were selected through the available sampling. Data analysis was performed using NVIVO, Smart PLS software. The coding results led to the extraction of 88 primary codes, 20 axial codes, and 10 selective codes. The results showed that the core factors of casual conditions of the model of developing insurance fields in the sports industry included the external conditions, the background factors, the intervention conditions, the strategies, and the outcomes. Based on the research findings, the strengthening of the economic infrastructure and constructive marketing strategies had the most significant impact on the research model.