Exercise Physiology
saeed naeimi; akbar sazvar; azam feyzi
Abstract
Purpose: Osteoporosis is a decrease in bone density among older adults that can cause painful fractures and disability. One of the most important effective non-pharmacological interventions is having appropriate and continuous physical activity. The aim of this study was to investigate the relationship ...
Read More
Purpose: Osteoporosis is a decrease in bone density among older adults that can cause painful fractures and disability. One of the most important effective non-pharmacological interventions is having appropriate and continuous physical activity. The aim of this study was to investigate the relationship between serum calcium and alkaline phosphatase with femur bone mineral density in active and inactive men. Method: This study was semi-experimental. 35 active and 35 inactive elderly men aged 65 to 80 years with medical records were selected. Anthropometric characteristics, serum calcium and alkaline phosphatase of subjects were used as effective indicators of osteoporosis. Pearson's correlation coefficient was used to find the relationship between femur mineral density and serum calcium and alkaline phosphatase, data analysis was done using SPSS version 26 Software. Results: The results of this research showed that in both groups of active and inactive men, there was a significant relationship between serum calcium and alkaline phosphatase and femur mineral density (P≤0.05). No significant relationship was found between the height index and mineral density of the femur (P≥0.05). Conclusions: In general, the results show that there is a significant relationship between bone density and weight, age, calcium, phosphorus, and serum alkaline phosphatase of all subjects, and the effect of exercise on other bone density indicators can be investigated.
Exercise Physiology
Ali Livani; Fatemeh Khodadadi-Mian Abadi; Fatemeh Amiri Pari; Reza Farzi-Zadeh
Abstract
Purpose: Osteoporosis usually starts at a young age and progresses slowly over time. Therefore timely diagnosis of this disease plays an effective role in raising the level of health and public health in the society. The aim of this study was to investigate the relationship between some indicators of ...
Read More
Purpose: Osteoporosis usually starts at a young age and progresses slowly over time. Therefore timely diagnosis of this disease plays an effective role in raising the level of health and public health in the society. The aim of this study was to investigate the relationship between some indicators of osteoporosis and bone mineral density of the pelvis in active elderly men.
Methods: This study was semi-experimental. 25 active elderly men with the age range of 60 to 85 years were selected as available and with medical records. Anthropometric characteristics and serum indices of subjects were used as effective indices of osteoporosis. Pearson's correlation coefficient was used to find the relationship between bone mineral density of the pelvis and effector indices, data analysis was done using SPSS version 26 software.
Results: The results of this research showed that in the active elderly men, there is a significant relationship between age (P=0.044), body mass index (BMI) (P=0.021), serum calcium (P=0.037) and phosphorus levels (P=0.046) and alkaline phosphatase (P=0.016), with bone mineral density (BMD) of the pelvis. No significant relationship was found between vitamin D with BMD of the pelvis (P=0.055).
Conclusion: In general, the results show that there is a significant relationship between bone density and body mass index, calcium and serum alkaline phosphatase indices in active elderly men. Therefore, it is possible to use the serum levels of these indicators in predicting this disease, and exercise may also be one of the influencing factors, so the effect of exercise on other bone density indicators can be investigated.
Bakhtyar Tartibian; Leila Fasihi; Rasul Eslami
Abstract
Purpose: A number of clinical decision tools for osteoporosis risk assessment have been developed to select postmenopausal women for the measurement of bone mineral density. We developed Data mining algorithm with the aim of more accurately identifying the risk of in postmenopausal women compared to ...
Read More
Purpose: A number of clinical decision tools for osteoporosis risk assessment have been developed to select postmenopausal women for the measurement of bone mineral density. We developed Data mining algorithm with the aim of more accurately identifying the risk of in postmenopausal women compared to the ability of conventional clinical decision tools. Materials and Methods: The present study was a cross-sectional development study conducted in the second half of 2018. In the present study, first, by identifying the influential variables, a survey questionnaire was prepared to select the most important clinical factors. Bone mineral density information of women referred to the bone density measurement unit of Khatam Al-Anbia Hospital in Tehran was used to teach the K-Nearest Ne neighbors (K-NN) algorithm (based on simple studies). Evaluation was based on accuracy. We also reviewed the results of several scientific articles and suggested the best sports activities according to the bone density of individuals. Results: The K-NN algorithm with sub-curve surface (AUC) showed significant performance. The algorithm predicted the risk of osteoporosis with an accuracy of 61.7% in the femoral neck for women participating in the experiment. Also, regular resistance and endurance training exercises repeated for 2-3 times a week for a year can have significant effects on maintaining or increasing hip BMD in postmenopausal women. Conclusion: Considering various predictors associated with low bone density, the K-NN algorithm may be an effective tool for identifying women at high risk for osteoporosis. This method widely recommends and predicts regular resistance and endurance training exercises for women with a high risk of osteoporosis.
