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Full-Text Articles in Medicine and Health Sciences
Age Predicted Heart Rate Max Equations In College-Aged Students, Jessica Benchley
Age Predicted Heart Rate Max Equations In College-Aged Students, Jessica Benchley
Honors Theses
Many clinicians use heart rate to tell how fit an individual is and how healthy they are. They can prescribe exercise based on heart rate and other medical conditions to help clients get better through exercise. Instead of running a client through a graded exercise test each time there is a problem, it would be much more effective to find an accurate equation to predict a max heart rate value and prescribe exercise using that value. The purpose of this experiment is to see which equation tends to predict the most accurate max heart after.
Nutrition And Fitness Guide For Graduating Student-Athletes, Anna Fukunaga
Nutrition And Fitness Guide For Graduating Student-Athletes, Anna Fukunaga
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
For the last four years of your life, you have been supported by strength coaches, academic advisors, athletic trainers, tutors, mentors, and coaches. Your life is dedicated to your sport, and your body is molded into the ideal build to compete at the highest level you can achieve. As soon as your competitive days are over, your life dramatically changes and the needs of your body change as well. Because you typically do not sustain the same level of activity, you do not have the same nutritional needs. The demands you place on your body for your sport are higher …
Psychosocial Aspects Of Physical Activity And Fitness In Special-Population, Minority Middle School Children, Jeffrey J. Martin, Nate Mccaughtry, Anne S. Murphy, Sara Flory, Kimberlydawn Wisdom
Psychosocial Aspects Of Physical Activity And Fitness In Special-Population, Minority Middle School Children, Jeffrey J. Martin, Nate Mccaughtry, Anne S. Murphy, Sara Flory, Kimberlydawn Wisdom
Kinesiology, Health and Sport Studies
Special-population research predicting physical activity (PA) and fitness with minority middle school children from at-risk environments is rare. Hence, the purpose of our investigation was to evaluate the ability of important social cognitive and environment-based measures to predict PA and fitness with children with developmental delay, cognitive, and emotional impairments. Children (N = 89, ages 11-15) completed questionnaires assessing social cognitive and environment-based constructs, self report PA, and completed fitness testing. Correlational results supported some hypotheses. The descriptive and correlational results also indicated commonalities with similar research on non special-population minority middle school children from at-risk environments.