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Use the Following Case Study to Answer Questions

question 165

Multiple Choice

Use the following case study to answer questions
These questions require comprehension of various sections of the chapter to answer, but are placed together here to keep them together with the case study.Specifically, questions 95-97 test on "How are body weight and body composition assessed?"; 98-100 on "What determines energy expenditure?"; and 101-104 on "Does macronutrient distribution matter?"
Case Study: Jim, a 21-year-old, medium-frame 6'2" senior weighing in at 205 lbs is a very active varsity wrestler majoring in psychology.He is participating in a "Hydration Study" that includes the collection of the following data: body composition analysis utilizing the Bod Pod, food/beverage intake via dietary assessment questionnaire, urine sample, and analysis of saliva.The following data have been provided to assist in answering the questions.
Bod Pod Results:
59% body water
86.7% lean mass
13.3% fat mass
Reference Values for Bod Pod:
Risky (high body fat) = men: >30%; women: >40%
Excess fat = men: 21%-30%; women: 31%-40%
Moderately lean = men: 13%-20%; women: 23%-30%
Lean = men: 9%-12%; women: 19%-22%
Ultra lean = men: 5%-8%; women: 15%-18%
Risky (low body fat) = men: <5%; women: <15%
24-Hour Recall:
3540 kcalories
177 grams protein
118 grams fat
Males: EER = 662 - [9.53 x Age (y) ] + PA x [(15.91 x weight in kg) + (539.6 x height in m) ]
PA Values: Sedentary = 1.0, Low Active = 1.11, Active = 1.25, Very Active = 1.48
-The wrestling season has ended and Jim does not want to gain weight His activity level will change from very active to sedentary Approximately how many kcalories less per day will he need post season?

Definitions:

Average

A statistical measure representing the central tendency or typical value of a set of numbers, calculated as the sum of the values divided by the number of values.

Correlation Coefficients

Statistical measures that describe the direction and degree of relationship between two or more variables.

Relationship

A connection, association, or involvement between two or more entities.

Variables

Elements, features, or factors that are likely to vary or change within a study, experiment, or any form of research.