Exergames have already been used as therapeutic tools to enhance both physical and cognitive functions in older adults. Aim To evaluate the effects of a Kinect‐based physical activity program on the quality of life, depression, functional fitness and body composition in institutionalized older adults. Methods A total of 50 older adults aged >60 years were selected and randomized to a control and video game group. Body composition was determined by means of anthropometric measurements. Quality of life was assessed using the WHOQOL‐BREF questionnaire, and depression was classified using the Beck Depression inventory. Functional fitness was assessed using the Arm Curl, Chair Stand, 8‐foot up‐and‐go, sit and reach, and the aerobic endurance test. Results After 12 weeks of protocol, we observed a significant improvement in all functional fitness parameters. Conclusions Our findings suggest that a Kinect‐based physical activity program seems to positively impact the three domains related to quality of life and directly associated with age (physical, social and psychological domains), and to promote a more active lifestyle in institutions housing older individuals. Geriatr Gerontol Int 2020; ••: ••–••.

Although no significant differences were observed between the two interventions in relation to the hormonal and metabolic parameters analyzed, both training methods promoted a favorable response, with a slight superiority noted for the CI method relative to the hormonal profile.

Introduction Erectile dysfunction, defined as the inability to achieve and/or maintain a penile erection sufficient for satisfactory sexual intercourse is associated with impaired quality of life and cardiovascular diseases in men older than 40 years. Objective To evaluate the association between erectile dysfunction and physical activity levels in a large cohort of men. Methods Data from 20,789 males aged 40 years and over who participated in the check-up screening between January of 2008 and December of 2018 were included in this study. In this sample, data about erectile dysfunction, physical activity levels, clinical profile and laboratory exams were obtained. Logistic regression models were performed. Results Individuals with erectile dysfunction were older (49.1 ±6.9 vs. 54.8±8.8 years old, p<0.001), had a higher body mass index (27.6 ±3.9 vs. 28.5 ± 4.3 kg/m2, p<0,001), and presented with a higher prevalence of physical inactivity (25 vs. 19%, p<0.001) than individuals without erectile dysfunction. The multivariate model revealed that age (p<0.001), hypertension (p = 0.001), diabetes mellitus (p<0.001), high body mass index (p<0.001), lower urinary tract symptoms and depressive symptoms (p<0.001) were independent risk factors for erectile dysfunction. Low or high physical activity levels (OR = 0.77; CI95%: 0.68–0.87, p<0.001 and OR = 0.85; CI95%: 0.72–0.99, p = 0.04 respectively) were protective factors against erectile dysfunction. Conclusion Low and high physical activity levels were associated with more than 20% reduction in the risk of erectile dysfunction in men aged 40 years or older.

Background: Erectile dysfunction (ED) is a multifactorial medical disorder often neglected in clinical practice between elderly men, defined as the inability to achieve and/or maintain a penile erection sufficient for satisfactory sexual intercourse and a common clinical entity among men and associated with impaired quality of life and cardiovascular diseases in elderly men. The aim of this study is to evaluate the association between ED and clinical, demographic and behavioral parameters in elderly men. Methods: A total of 2436 males aged 60 years and over who participated in the health screening between January 2008 and December 2018 were included in this study. Laboratory exams, clinical and behavior profiles were analyzed. Logistic regression models were used. Results: Men with ED were older (65.87±5.49 vs. 63.85±4.05 years old. p<0.001), higher prevalence of physical inactivity (23.8 vs. 19%, p = 0.039) and had a higher body mass index (BMI; 28.36±4.06 vs. 27.72±3.89 kg/m 2 . p<0.001) than men without ED. The multivariate model shown that hypertension (p = 0.001), diabetes mellitus (p<0.001), lower urinary tract symptoms (LUTS), depressive symptoms (p<0.001) and age (p<0.001), were strongly associated with ED. Conclusion:The main risk factors associated with ED in elderly men were hypertension, diabetes mellitus, LUTS, depressive symptoms and age.