Exercise Physiology
Bakhtyar Tartibian; Leila Fasihi; Rasoul Eslami
Abstract
Background: Osteoporosis is a decrease in bone density among older adults that can lead to painful fractures and disability. People in developing countries are not interested in examining bone mineral density until fractures occur. Therefore, the aim of this study was to investigate the relationship ...
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Background: Osteoporosis is a decrease in bone density among older adults that can lead to painful fractures and disability. People in developing countries are not interested in examining bone mineral density until fractures occur. Therefore, the aim of this study was to investigate the relationship between the indicators affecting osteoporosis with femoral mineral density in active and inactive elderly men.Methods: A total of 45 active and 45 inactive men with an age range of 70 to 85 years with medical records and clinical trials were selected. Anthropometric characteristics and serum indices of the subjects were used as effective indicators of osteoporosis. Pearson correlation coefficient was used to find the relationship between the indicators and the mineral density of the femur. SPSS software version 26 was used for data analysis.Results: The results of the present study showed that in both groups of active and inactive elderly men, a significant relationship was observed between anthropometric characteristics and serum indices with bone mineral density (P≤0.05). No significant relationship was found between other indicators.Conclusion: In general, the results show that there is a significant relationship between bone density and weight, body mass index, age, calcium, phosphorus and serum alkaline phosphatase of all subjects. Therefore, in adulthood and old age, these blood and anthropometric variables can be used to identify people at risk for osteoporosis.
Exercise Physiology
Reza Gharakhanlou; Leila Fasihi
Abstract
The phenomena of fatigue of voluntary muscular effort is intricate and multidimensional in the field of sports sciences. The causes and effects of exercise-induced fatigue have been extensively studied, but the central nervous system's (CNS) involvement in this process is still unclear. In order to understand ...
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The phenomena of fatigue of voluntary muscular effort is intricate and multidimensional in the field of sports sciences. The causes and effects of exercise-induced fatigue have been extensively studied, but the central nervous system's (CNS) involvement in this process is still unclear. In order to understand CNS fatigue after physical activity, the current review will examine changes in neurotransmitter function during exercise. Using primary sources such scientific journals and websites, a consensus and critical evaluation were carried out in order to accomplish this goal. For a number of neurotransmitters, including dopamine and serotonin (5-HT; 5-hydroxytryptamine), hypotheses have been established. The most well-known one is a rise in serotonin levels throughout the brain. Nutritional interventions intended to reduce brain serotonin synthesis during extended exercise enhance endurance performance, and there is strong evidence that increases and decreases in brain serotonin activity during prolonged exercise, respectively, accelerate and delay fatigue. There are several physiologically connected causes of fatigue. It is important to better understand how CNS effects affect fatigue in order to achieve maximum muscle performance in both daily life and athletics.
Exercise Physiology
Mahmoud Khodadoost; Marefat Siahkuhian; Leila Fasihi
Abstract
Purpose: The activity of plasma liver enzymes is intensified under the influence of sports activities, which is affected by the duration, intensity, type and method of training. The purpose of this study was to investigate the effect of a special endurance training session on the activity of serum alkaline ...
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Purpose: The activity of plasma liver enzymes is intensified under the influence of sports activities, which is affected by the duration, intensity, type and method of training. The purpose of this study was to investigate the effect of a special endurance training session on the activity of serum alkaline phosphatase and aspartate aminotransferase liver enzymes in inactive young men.Methods: In this semi-experimental study, 16 young inactive men were purposefully selected and examined in two groups (experimental and control). The experimental group performed Bruce's protocol after preliminary warm-up. Blood samples were collected before the test, immediately after the test, 24 hours and 48 hours after the test from both groups at the same time, and the amount of serum ALP (Alkaline Phosphatase) and AST (Aspartate Transaminase) enzymes were measured using an Auto analyzer. Statistical analysis of the data, independent T-test was used to compare the results of two groups and Bonferroni's post hoc test was used to determine the difference between different stages of sampling with a minimum significance level (P≥0.05).Results: The results of the independent T-test in the comparison between the groups showed that there is a significant difference between the two groups in the amount of ALP enzyme in the time intervals immediately after the activity (P≥0.020), but in the time intervals of 24 (P≥0.177) and 48 hours (P≥0.136), there is no significant difference between the two groups after the activity. The results of the independent T test did not show any significant changes in the amount of AST enzyme in any of the time intervals in the comparison between groups.Conclusion: Fatigue-inducing sports activity leads to an increase in the amount of enzymes, ALP, this increase can be a sign of damage to liver cells or heart muscle. Considering the role of recovery in liver damage, it seems that by considering enough rest time, it is possible to help improve the adaptation process while preventing the occurrence of muscle and liver damage
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 ...
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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.