Application of Exercise Physiology Principles for Vocal Athletes During Vocal Injury Recovery and Performance Maximization

2018 ◽  
Vol 3 (3) ◽  
pp. 88-96 ◽  
Author(s):  
Wendy LeBorgne ◽  
Marci Rosenberg
Keyword(s):  
Exercise Physiology ◽  
And Performance ◽  
Injury Recovery

scholarly journals Art of Paper Setting: The Blueprinting of MBBS Physiology Competency Based Curriculum

2021 ◽  
Author(s):  
Raksha Jaipurkar ◽  
Swapnil Saikhedkar ◽  
Dharmendra Kumar ◽  
Gaurav Sikri ◽  
Sushil Sharma
Keyword(s):  
Content Validity ◽  
Exercise Physiology ◽  
Endocrine System ◽  
Armed Forces ◽  
Multiple Choice Questions ◽  
Medical College ◽  
Preliminary Examination ◽  
Competency Based ◽  
And Performance ◽  
Nerve Muscle

Introduction: Written examinations are integral component of students’ assessments at formative and summative level. There is no blueprint of question paper available for the new curriculum in Bachelor of Medicine and Bachelor of Surgery (MBBS) Physiology curriculum which may lead to variations in question paper setting. This lack of consistency in question papers affects the preparedness and performance of students. Aim: To prepare the blueprint of MBBS Physiology Competency Based Medical Education (CBME) curriculum and to do content validity by comparing with Preliminary Examination (PE) and University Examination (UE). Materials and Methods: This was a descriptive study conducted over a period of six months from July 2020 till December 2020. The study was conducted in Armed Forces Medical College, Pune. There are 15 topics and 140 outcomes for Physiology MBBS course as per new CBME curriculum is divided into paper I and II according to Maharashtra University of Health Sciences (MUHS) syllabus. The main topics in each paper were further subdivided into subtopics for preparing learning objectives. Marks were allotted to each system taking into consideration optimum marks 97 for subjective with included options and 20 marks Multiple Choice Questions (MCQs). The papers of UE and PE conducted with new format were analysed for content validity. Results: The blueprint of paper I (subjective) shows marks allotted for General Physiology 12, Haematology 13, Respiratory System (RS) 15, Cardiovascular (CVS) 17, Exercise 05, Renal system 15, Gastrointestinal System (GIT) 12, Lifestyle Aging and Meditation 03 and Attitude, Ethics and Communication. (AETCOM) 05 marks. The blueprint of paper II (subjective) shows marks for the Nerve-Muscle 16, Central Nervous System (CNS) 25, Special senses 14, endocrine system are 18, reproductive system 15, and temperature 09. MCQs were also allotted proportionate marks for each topic. Content analysis of papers showed exercise Physiology and body temperature regulation were not assessed in UE. Conclusion: There was disproportionate representation of topics in formative and summative examinations in absence of blueprint. The blueprint should be an integral part of assessments.

scholarly journals An exploratory study of freshman attrition from an Appalachian physiology program

2021 ◽  
Vol 45 (3) ◽  
pp. 501-510
Author(s):  
Miriam Leary ◽  
Randy Bryner
Keyword(s):  
Exploratory Study ◽  
Exercise Physiology ◽  
Qualitative Interviews ◽  
College Attendance ◽  
Lower Grade ◽  
Academic Preparedness ◽  
Grade Point ◽  
First Semester ◽  
Incoming Freshmen ◽  
And Performance

Appalachia has low rates of college attendance and graduation, but relevant data investigating student attrition from physiology majors in this region are lacking. This exploratory study examined freshman attrition from an undergraduate exercise physiology program in Appalachia with the goal of identifying potential strategies for improving retention across similar programs in this underserved region. Questionnaires were administered at the beginning and end of the fall semester to freshman ( n = 247) and students transferring out of the major [Transferred group (T); n = 50] by the end of their first semester were compared against those that remained [Retained group (R); n = 190]. The Transferred group was invited to participate in qualitative interviews. Fewer Transferred students reported feeling underprepared in academic preparedness skills, but more reported feeling underprepared in math. At the end of the semester, more in the Transferred group reported doing worse than expected in math and in getting good grades and had a lower grade point average (R: 3.27 ± 0.05; T: 2.62 ± 0.15; P < 0.01). More in the Transferred group were first-generation (FG) college students (R: 17%; T: 30%). Transferred FG had lower academic preparation and performance and more financial need than Retained FG. In interviews ( n = 35), most students expressed a change in career goals and many noted the academic rigor of the program, while academic advising, faculty, and the major received generally positive praise. This study identified several factors that would allow for early identification of incoming freshmen at risk for attrition and proposes strategies for improving retention within Appalachian physiology programs.

Use of technological innovations in broadening the application of equine exercise physiology

2017 ◽  
Vol 13 (3) ◽  
pp. 137-148 ◽  
Author(s):  
J.H. Foreman
Keyword(s):  
Exercise Physiology ◽  
Daily Basis ◽  
Training Methods ◽  
Performance Training ◽  
Applied Physiology ◽  
Technological Developments ◽  
Muscle Biomechanics ◽  
And Performance ◽  
Practical Field ◽  
Field Setting

The quadrennial International Conference on Equine Exercise Physiology (ICEEP) allows focused presentations of a variety of horse exercise- and performance-related research data in cardiorespiratory, muscle, biomechanics, nutrition, genomics, and applied physiology. The most diverse section of the ICEEP meeting has been termed variously ‘Applied Exercise Physiology’ (ICEEP 8 and 9), ‘Applied Physiology: Training Methods, Exercise Testing and Selection’ (ICEEP 7), or ‘Applied Physiology of Athletic Performance’ (ICEEP 6 and earlier). The next ICEEP meeting is scheduled to be held in Australia in 2018. In this subspeciality of equine exercise physiology, scientists attempt to apply or put into practical field use the techniques and tools developed in the more basic sciences in order to assess the performance, training, and injury of horses working and performing under true, non-laboratory conditions. The real test of the value of this subspeciality will be the increased application and sustainability of the use of laboratory techniques in the assessment of equine athletes in field settings. This review summarises exercise physiology findings prior to the widespread use of equine laboratory treadmills which have tethered investigators to the laboratory, and explains and illustrates newer, more portable, often digital technological developments which have allowed investigations to move out of the laboratory and back to the field setting where horses train and compete on a daily basis.

Effect of personal response systems on student perception and academic performance in courses in a health sciences curriculum

2011 ◽  
Vol 35 (3) ◽  
pp. 280-289 ◽  
Author(s):  
Kathleen A. FitzPatrick ◽  
Kevin E. Finn ◽  
Jay Campisi
Keyword(s):  
Student Performance ◽  
Student Perception ◽  
Exercise Physiology ◽  
Student Assessment ◽  
Health Sciences ◽  
Personal Response Systems ◽  
Anatomy And Physiology ◽  
Response Systems ◽  
Class Period ◽  
And Performance

To increase student engagement, active participation, and performance, personal response systems (clickers) were incorporated into six lecture-based sections of four required courses within the Health Sciences Department major curriculum: freshman-level Anatomy and Physiology I and II, junior-level Exercise Physiology, and senior-level Human Pathophysiology. Clickers were used to gather anonymous student responses to questions posed within the class period after individual thought and peer discussion. Students ( n = 293, 88% of students completing the courses) completed a perceptual survey on clicker effectiveness inserted into the Student Assessment of Learning Gains online instrument. Across courses and years, students uniformly rated several dimensions of clicker use as providing good to great gain in engaging them in active learning, increasing participation and involvement during class, maintaining attention, applying material immediately, providing feedback concerning their understanding, and offering an anonymous format for participation. Within these four sections, quiz grades were compared between clicker and nonclicker years. Significant increases in pre- and posttest scores were seen in Exercise Physiology in clicker years and on some, but not all material, in Anatomy and Physiology I and II based on content quizzes. Human Pathophysiology results were unexpected, with higher quiz scores in the nonclicker year. The results support the hypothesis of increased engagement with clicker use. The hypothesis of increased student performance was not consistently supported. Increased performance was seen in Exercise Physiology. In Anatomy and Physiology I and II, performance improved on some content quizzes. In Human Pathophysiology, performance did not improve with clickers.

Massageʼs Effect on Injury, Recovery, and Performance: A Review of Techniques and Treatment Parameters

2010 ◽  
Vol 32 (2) ◽  
pp. 64-67 ◽  
Author(s):  
Robert A Standley ◽  
Michael G Miller ◽  
Helen Binkley
Keyword(s):  
And Performance ◽  
Injury Recovery

scholarly journals Human running performance from real-world big data

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Thorsten Emig ◽  
Jussi Peltonen
Keyword(s):  
Real World ◽  
Lactate Threshold ◽  
Exercise Physiology ◽  
Performance Indices ◽  
Running Performance ◽  
Time Prediction ◽  
And Performance ◽  
Sustainable Power ◽  
And Training ◽  
Human Running

Abstract Wearable exercise trackers provide data that encode information on individual running performance. These data hold great potential for enhancing our understanding of the complex interplay between training and performance. Here we demonstrate feasibility of this idea by applying a previously validated mathematical model to real-world running activities of  ≈ 14,000 individuals with ≈ 1.6 million exercise sessions containing duration and distance, with a total distance of ≈ 20 million km. Our model depends on two performance parameters: an aerobic power index and an endurance index. Inclusion of endurance, which describes the decline in sustainable power over duration, offers novel insights into performance: a highly accurate race time prediction and the identification of key parameters such as the lactate threshold, commonly used in exercise physiology. Correlations between performance indices and training volume and intensity are quantified, pointing to an optimal training. Our findings hint at new ways to quantify and predict athletic performance under real-world conditions.

scholarly journals Exercise Physiology: Improving Stationary Bike Training Performance Using Heart Rate Variability

10.29007/2s7r ◽  
2020 ◽  
Author(s):  
Quoc Cuong Pham ◽  
Tran Duc Minh Nguyen ◽  
Dang Le Cao ◽  
Quoc Khai Le ◽  
Quang Linh Huynh
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Physiology ◽  
Training Performance ◽  
Time Frequency ◽  
Hrv Analysis ◽  
And Performance ◽  
Training Exercises ◽  
Response To Exercise ◽  
Electrocardiogram Ecg

Exercising is said to bring benefits to people taking part in, not only physical but also physiological gain. Heart Rate Variability (HRV) is an important marker reflecting the function of the autonomic nervous system (ANS), which has shown potentials in some exercise therapy and sport physiology studies. HRV analysis is said to be used for getting a better understanding of our body’s response to exercise and the reaction to different stressors from the workout. Thus, it is essential to monitor and optimize the recovery to avoid overtraining. This study aims to investigate the influence of HRV reflecting the physical stress level on participants when exercising, therefore, building a concept of self-training guide to improve the adaptation and performance. Electrocardiogram (ECG) is acquired by the BIOPAC system over 10 healthy college students during a proposed training protocol on the stationary bike, and post-exercising. HRV data from ECG is analyzed in time, frequency and nonlinear domains to extract various features to evaluate physiological recovery status, manage physical fatigue, intensity adjustment. From the evaluation of these indexes, participants are able to keep track of their physiological condition as well as to have more effective training exercises.

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