Analysis of the Changes in Selected Motor Fitness Components with Concurrent Strength and Plyometric Training

10.26524/1349 ◽  
2013 ◽  
Vol 2 (4) ◽  
pp. 36-38
Author(s):  
R Muthu Eleckuvan
Keyword(s):  
Plyometric Training ◽  
Fitness Components ◽  
Motor Fitness

scholarly journals Relationship of Selected Motor Fitness Components with the Performance of Basketball Player

2011 ◽  
Vol 3 (8) ◽  
pp. 616-617
Author(s):  
Dr. Sentu Mitra ◽  
◽  
Dr. Sagarika Bandyopadhyay ◽  
Arup Gayen
Keyword(s):  
Basketball Player ◽  
Fitness Components ◽  
Motor Fitness ◽  
Relationship Of

Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older

Gerontology ◽  
2021 ◽  
pp. 1-15
Author(s):  
Yael Netz ◽  
Ziv Yekutieli ◽  
Michal Arnon ◽  
Esther Argov ◽  
Keren Tchelet ◽  
...  
Keyword(s):  
Exercise Program ◽  
World Health ◽  
Lower Body ◽  
Fitness Components ◽  
Exercise Programs ◽  
Motor Fitness ◽  
Fitness Assessment ◽  
Age Related ◽  
Personalized Approach ◽  
Health Organization

<b><i>Background:</i></b> The World Health Organization has recently updated exercise guidelines for people aged &#x3e;65 years, emphasizing the inclusion of multiple fitness components. However, without adequate recognition of individual differences, these guidelines may be applied using an approach that “one-size-fits-all.” Within the shifting paradigm toward an increasingly personalized approach to medicine and health, it is apparent that fitness components display a significant age-related increase in variability. Therefore, it is both logical and necessary to perform an accurate individualized assessment of multiple fitness components prior to optimal prescription for a personalized exercise program. <b><i>Objective:</i></b> The aim of the study was to test the feasibility and effectiveness of a novel tool able to remotely assess balance, flexibility, and strength using smartphone sensors (accelerometer/gyroscope), and subsequently deliver personalized exercise programs via the smartphone. <b><i>Methods:</i></b> We enrolled 52 healthy volunteers (34 females) aged 65+ years, with normal cognition and low fall risk. Baseline data from remote smartphone fitness assessment were analyzed to generate 42 fitness digital markers (DMs), used to guide personalized exercise programs (×5/week for 6 weeks) delivered via smartphone. Programs included graded exercises for upper/lower body, flexibility, strength, and balance (dynamic, static, and vestibular). Participants were retested after 6 weeks. <b><i>Results:</i></b> Average age was 74.7 ± 6.4 years; adherence was 3.6 ± 1.7 exercise sessions/week. Significant improvement for pre-/posttesting was observed for 10/12 DMs of strength/flexibility for upper/lower body (sit-to-stand repetitions/duration; arm-lift duration; torso rotation; and arm extension/flexion). Balance improved significantly for 6/10 measures of tandem stance, with consistent (nonsignificant) trends observed across 20 balance DMs of tandem walk and 1 leg stance. Balance tended to improve among the 37 participants exercising ≥3/week. <b><i>Discussion:</i></b> These preliminary results provide a proof of concept, with high adherence and improved fitness confirming the benefits of remote fitness assessment for guiding home personalized exercise programs among healthy adults aged &#x3e;65 years. Further examination of the application within a randomized control study is necessary, comparing the personalized exercise program to general guidelines among healthy older adults, as well as specific populations, such as those with frailty, deconditioning, cognitive, or functional impairment. The study tool offers the opportunity to collect big data, including additional variables, with subsequent utilization of artificial intelligence to optimize the personalized exercise program.

A Comparison of Selected Motor Fitness Components of Girl students dwelling in Non Slum and Slum Areas in Thane District

2017 ◽  
Vol 4 (24) ◽  
Author(s):  
Sachin B. Shinde ◽  
G. K. Dhokrat
Keyword(s):  
Physical Education ◽  
Fitness Components ◽  
Sports Science ◽  
Motor Fitness ◽  
Research Scholar ◽  
Margin Of Error ◽  
Girl Students ◽  
Day By Day ◽  
Slum Areas

Modern sports are becoming more and more competitive and the margin of error is decreasing from seconds to micro seconds, inches to millimeters, kilos to grams, so why this all is changing it is due to development in the sports science and with this there are lot of changes taking place and those are defiantly helping our youth to achieve greater heights day by day, for which researchers are doing studies, for studying the factors which directly or indirectly affect the performance of the athletes, for understanding one of this factor the research scholar had investigated weather environment does play any role in morphological, physical and motor fitness variable on individuals. Many research works have been conducted related to health and physical fitness and Motor Fitness, it is known that any competitive sports performance cannot be improved however the role of physical Education and sports the improvement especially for sportsman is not known. By understanding the Physical Education Fields requirement the researcher has selected “Comparison of Selected Motor Fitness Components of Girl students dwelling in Non Slum and Slum Areas in Thane District”.

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