Vignette #1 John Is 35 and Interested in Gaining Muscle

question 72

Multiple Choice

Vignette #1 John is 35 and interested in gaining muscle mass. He wants to do it as quickly as possible and goes to the local health food store. The clerk approaches him wearing a white lab coat-this immediately impresses John, who now thinks that the clerk is well informed. John explains that his goal is to gain the maximum muscle mass in the shortest time. The clerk gets a twinkle in his eye and says "Let me show you what we have that will certainly help you." Let's see if the clerk really knows what ergogenic aids are all about by answering these questions. John's friend Sam says that John is too old to start building muscle and that he should have worked out more in high school. John is concerned that maybe it is too late. Is Sam correct?

• A) Sam is correct and John can no longer successfully build muscle.
• B) Sam is correct and there is no reason that John needs to build muscle at his age since he has a sedentary job.
• C) Sam is correct because, since John jogs three times each week, he really doesn't have to focus on strength training.
• D) Sam is incorrect because muscles can respond to strength training even in old age and it helps improve the quality of life.
• E) Sam is incorrect because John can increase muscle mass until age 40.

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Definitions:

Seasonal Indexes

Quantitative measures that are utilized to adjust data for seasonal variations and effects, helping in analyzing and forecasting trends.

Seasonal Indexes

Factors used to adjust or measure variations in data due to seasonal effects over specific periods, often applied in forecasting and economic analysis to account for seasonal patterns.

Regression Trend Line

is a statistical tool used in scatter plots to determine the relationship between two variables by drawing a straight line that best fits the data points.

Dependent Variable

The outcome variable in an experiment or study whose changes are determined by the presence or variation of one or more independent variables.