Use the "Nolan" Case Study Information to Answer the Questions

question 108

True/False

Use the "Nolan" case study information to answer the questions that follow.
Marla is a college student with a minor in nutrition.Her friend Nolan (of Western European descent)went to her for dietary advice.Marla began assessing Nolan's overall health by determining his age,height,weight,% body fat,waist measurement,blood pressure,and fasting blood sugar and lipid levels.She then analyzed Nolan's fast and processed food-based diet for one day.Nolan tells Marla that his wife is pregnant and he is concerned about her diet.She was just diagnosed with gestational diabetes and has been craving hot chili peppers.Marla had recently read an article published in Nutrition Today,a refereed journal.The article talked about dietary issues for pregnant women.It included the results of an intervention study with an experimental and control group design and was written by N.Osman,M.D.and J.Edwards,R.D.Following are the case study information for Nolan and the food label for the hot chili peppers that his wife has been eating.
Personal Information:
One-Day Diet:
Breakfast: 2 cups iron-fortified puffed rice cereal;0.75 cups 2% milk;2 cups coffee;2 tablespoons sugar;2 tablespoons cream;1 banana.
Lunch: Double bacon cheeseburger;1 regular vanilla milkshake;1 regular onion rings.
Snack: 3 chocolate chip cookies;2 cups 2% milk.
Dinner: 2 cups pasta;1 cup spaghetti sauce;3 oz hamburger;3 light beers.
Partial Diet Analysis:
(Note: Nolan's EER is 2843 Calories and his energy expenditure was 2850 Calories)
Carbohydrate: 314 g digestible starch,130 g simple sugars,14 g fiber,34 g alcohol
FAT: 124 g (60 g SFA;45 g MUFA;19 g PUFA)
PRO: 139 g
Calcium: 1686 mg
Phosphorus: 1618 mg
Vitamin A: 901 μg
Vitamin E: 7.2 mg
Folate: 198 µg
Vitamin C: 47 mg
Iron: 45.5 mg
Sodium: 4484 mg

-The level of saturated fat intake in Nolan's diet meets the American Heart Association recommendations.

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Definitions:

Demand Forecast

The method of predicting the amount of a product or service that customers will buy in the future.

Correlated

When two or more variables are related in some way, meaning that a change in one variable is associated with a change in another.

Aggregate Forecasts

Predictions of future demand, sales, or other metrics for entire markets or sectors, typically used for strategic planning.

Disaggregate Forecasts

Disaggregate forecasts involve breaking down aggregate predictions into more detailed, specific forecasts, such as by product, region, or customer segment, to improve planning and decision-making.