ESF606 - HUMAN BODY COMPOSITION: MEASUREMENT TECHNIQUES

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
HUMAN BODY COMPOSITION: MEASUREMENT TECHNIQUES ESF606 Any Semester/Year 3 0 3 8
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Drill and Practice
Project Design/Management
 
Instructor (s)Suleyman BULUT, PhD 
Course objectiveThis course aim is an in depth understanding of the scientific rationale of body composition methodologies and their applications by students. Thus, this would assist students to more capably support their target population based on scientific perspective. 
Learning outcomes
  1. Describe the components of human body composition and its functions.
  2. Describe differences between human body composition measurement methods.
  3. Select the best available method to measure body composition in athletes and other groups.
  4. Interpret body composition results.
  5. Know the principles of common state-of the-art methods to measure body composition in humans.
  6. Being familiar with some major physiological aspects of body composition in terms of health and exercise performance.
Course ContentThis course would cover laboratory (e. g , dual-energy x-ray absorptiometry) and field methods (e. g. BIA and anthropometry) of body composition, body composition across the lifespan/gender differences/fitness level differences (ranging from sedentary to athletic population). Along with technical skills, this course will also cover about uses and interpretation of body composition data. 
References1. Lohman T, Roche A, Martorell R (1988). Anthropometric Standardization Reference Manual. Human Kinetics. Champaign, Illinois.
2. Malina R, Bouchard C, Bar-Or (2004). Growth, Maturation and Physical Activity. Human Kinetics. Champaign, Illinois.
3. Stewart A, Marfell-Jones M, Olds T and de Ridder H. (2011). International standards for Anthropometric Assessment.Lower Hutt New Zealand: International Society for the Advancement of Kinanthropometry.
International Society for the Advancement of Kinanthropometry.
4. Roche, A.F., Heymsfield, S.B. and Lohman, T.G. (1996). Human Body Composition, Leeds: Human Kinetics 

Course outline weekly

WeeksTopics
Week 1Introduction: Human body composition and its application fields
Week 2Human body composition: Overview of the historical progress
Week 3Human body composition models
Week 4Human body composition measurement methods
Week 5Lab: Weight, height, girth and circumference measurements
Week 6Lab: Skinfolds measurements
Week 7Midterm exam
Week 8Hydrodensitometry: Underwater weighing (UWW)
Week 9BOD POD: Air Displacement Plethysmography
Week 10Bioelectrical impedance technology
Week 11Lab: Body composition measurement via bioelectrical impedance method
Week 12Dual energy x ray absorbtiometry (DXA) and body composition
Week 13Lab: DXA body composition measurement and report reading
Week 14Seminar presentations
Week 15Preparation for the final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance
Laboratory
Application
Field activities
Specific practical training
Assignments
Presentation
Project
Seminar
Midterms
Final exam
Total
Percentage of semester activities contributing grade succes
Percentage of final exam contributing grade succes
Total

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0
Laboratory 0
Application0
Specific practical training0
Field activities0
Study Hours Out of Class (Preliminary work, reinforcement, ect)0
Presentation / Seminar Preparation0
Project0
Homework assignment0
Midterms (Study duration)0
Final Exam (Study duration) 0
Total Workload000

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Students will be able to follow the conceptual and scientific developments related to basic measurement and evaluation techniques specific to the Exercise and Sports Physiology, and use the deep and systematic knowledge specific to the field of Exercise and Sports Physiology in their professional and academic studies.    X
2. Has the laboratory safety and technical knowledge and skills required for laboratory studies in Exercise and Sport Physiology, and able to solve the research problems using the tools and equipment in the field. X   
3. Has the competency to analyse and integrate the information from other disciplines, synthesize new information, make decisions and solve problems by using theoretical and applied concepts and principles in Exercise and Sport Physiology with a critical approach.    X
4. Has the competency to conduct research, take part in research projects, chose the appropriate statistical methods, interpret the results of his/her work, write the report and present it in scientific meetings or publish.   X 
5. Evaluates national/international strategies, politics and practices related to Exercise and Sports Physiology in line with the national values and country realities.  X  
6. Acts in compliance with legislation, professional values and ethical principles in the formation of knowledge related to Exercise and Sports Physiology, and transfers his/her professional knowledge, skills and responsibilities to team work. X   
7. Reads and analyses the scientific papers in Exercise and Sports Physiology, conducts and carries out evidenced based research in the concerned professional field.   X 
8. Knows the importance of communication with other sciences related to Exercise and Sport Physiology, uses his/her knowledge and problem solving abilities in interdisciplinary studies.  X  
9. Adopts lifelong learning principles, identifies his/her learning needs and goals, and contributes to quality improvement, vocational training and promotion programs in Exercise and Sports Physiology.  X  
10. Establishes written, verbal and visual communication with national and international scientists and defends his/her opinions on the issues in Exercise and Sports Physiology. X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest