EN
Intoduction: The aim of the thesis was to research the influence of level and frequency of the taken activity on health related somatic features of middle-aged and elderly women. Materials and methods: The research was carried out among 80 women aged 46-81, who were auditors of the Universities of the Third Age in Katowice and Chorzów. The analysis of body composition has been made with the method of bioelectrical impedance analysis, using the Inbody 720 device. As health related somatic features, the following parameters have been found: (BMI- kg/m2) - body mass index, (BFMI- kg/m2) - body fat mass index, (FFMI- kg/m2) - fat-free mass index, (WHR) - waist-hip ratio and (VFA-cm2) visceral fat area. The level and intensity of physical activity have been measured with the use ActiGraph GT1M device. The differences between average variables analyzed have been compared with the use of an analysis of variance (ANOVA) and the level of p <0,05 have been taken as statistically significant.Results: The research show that 60% of women achieved the recommended limit of 10000 steps a day, but the results of the most active group which performed on the average above 12500 steps were the closest to the correct body composition indexes (BFMI - 8,71 kg/m2, VFA - 116,94 cm2). The differences between average variables of BMI, BMFI, VFA, WHR of women who achieved and did not achieve the minimum of 30 minutes of physical activity with the intensity of 3-6 MET at least 5 times a week were not statistically significant and the results in both groups exceeded the scope of norms. Physical activity defined by the amount of days a week (≤2, 3-4, ≥5), when the women exceeded 10000 steps a day has statistically significantly differentiated all the variables describing the level of body adiposity and the results approach to the scope of norms.Conclusions: The level of the physical activity defined by the number of steps performed (<7500, 7500-9999, 10000-12500, >12500), statistically significantly differentiates all health related somatic features (BMI, BFMI, FFMI, VFA, WHR) of the women. Frequency of the physical activity has statistically significantly differentiated all the variables describing the level of body adiposity (BMI, BFMI, VFA, WHR). Monitoring the amount of the steps performed with the use of motion sensors can be an effective tool of control and evaluation of physical activity.