Leo and June Eat a Processed Food Diet

question 199

Multiple Choice

Leo and June eat a processed food diet. Basically everything they eat is from a box, bag, can, or other container. They have been married for two years and they are trying to get pregnant. She has been through fertility tests and they all have come back normal. So now they are concerned with Leo's health. Leo has agreed to have a total health assessment including diet analysis, body composition, lipid profile, blood glucose, and blood pressure in addition to seeking medical advice for male fertility. Meanwhile, June is reading up on fertility, diet, and health for both of them. Her sources of information include: Men's Magazine, the local newspaper, and the following websites: Diet-and-Health.net, healthfinder.gov, and eMaxHealth.com.
As Leo had his 1-day diet analyzed, he noted that he took a Hungry Man frozen entrée out of the freezer to thaw at 7:30 AM. June opened it and warmed it up for him at 5:00 PM, but Leo didn't return home to eat it until 10:00 PM. Leo stated that he had gastrointestinal distress including cramps and diarrhea shortly after eating lunch that day. Then, within 45 minutes of eating his dinner, he had violent flu like symptoms that lasted 36 hours. Following are the results of Leo's total health assessment and diet analysis based upon a typical day of eating for him.

-Which of the following substances in the Cheetos that Leo ate is a nutrient additive?

• A)FD&C Yellow #6
• B)Monosodium glutamate
• C)Maltodextrin
• D)Folic acid
• E)Citric acid

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Definitions:

Regression Equation

A mathematical formula that describes the relationship between one dependent variable and one or more independent variables.

Y′

A symbol often representing a predicted value or derivative in mathematical equations or models.

Linear Regression

A statistical method for modeling the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

Multiple Regression

A statistical technique that uses more than one independent variable to predict the outcome of a dependent variable, allowing for the analysis of complex relationships.