The document summarizes an assessment of a client's diet using a food frequency questionnaire (FFQ) and 3-day diet recall. It finds that while macronutrient intake was similar between the two methods, the FFQ estimated higher fruit and similar vegetable intake compared to the 3-day recall. The client's grain and protein intake was below recommendations in both assessments. Dairy intake was found to meet recommendations.
1. The document summarizes the process of completing a dietary assessment using a Food Frequency Questionnaire (FFQ) and 3-Day Diet Record for a client named Sierra. It compares the results from these methods to MyPlate recommendations.
2. The FFQ estimated Sierra's intake of various food groups and nutrients differently than the 3-Day Diet Record. Specifically, the FFQ estimated higher protein intake and lower carbohydrate and fat intake compared to the 3-Day Diet Record.
3. Based on the results, the nutrition advice for Sierra focuses on increasing her intake of vegetables, fruits, and whole grains while decreasing her protein and discretionary calories, especially added sugars and alcohol. The FFQ is considered to
The document describes completing a food frequency questionnaire (FFQ) assignment with a partner. It discusses roles as interviewer and interviewee, evaluation of the FFQ, foods missing from the database, comparison of dietary assessment methods to MyPlate recommendations, which method best reflected usual intake, and nutrition advice. The experience emphasized how assessments can be overwhelming for clients and impact of the interviewer-client relationship. Both methods have advantages like representation of usual intake, but also disadvantages like accuracy of portion sizes and reliance on memory.
The dietary assessment compares the client's 3-day diet record and food frequency questionnaire to MyPlate recommendations. The client is meeting protein recommendations but falling short of fruit, vegetable, grain, dairy, and calorie recommendations. The interviewer notes challenges accurately recording occasional snacks and estimating restaurant meals. When analyzing the diet record, some brand-specific foods were unavailable requiring judgment. Recommendations focus on increasing fruit, vegetable, grain, and dairy intake through small dietary changes.
This document summarizes a dietary assessment of a client (CM) based on a 24-hour diet recall interview. Key points:
- The interview took 45-60 minutes to complete the recall and discuss portion sizes. Entering the data into a nutrition program was challenging when specific foods were not options.
- Based on analyzing CM's recall against recommendations, CM needs more vegetables, whole grains, protein, and certain vitamins/minerals.
- Recommendations for CM include increasing vegetable intake through varied options at meals and snacks, choosing whole grains, consuming more protein through foods like fish and beans, and incorporating nutrient-dense foods like salmon and leafy greens.
Anya Guy conducted a 3-day diet record and interview for a classmate. She found it difficult to accurately record her intake without measuring foods. Entering the data into NutritionCalc Plus was challenging as some supplements and brands were missing. The major challenge was that the software underestimated vitamin D and magnesium intake due to missing supplements. Recommendations for her classmate included decreasing supplements, increasing fruits, vegetables and dairy, and decreasing grains and added fats and oils.
The document summarizes a nutrition assessment interview conducted with a client. It includes details of supplements taken, physical activity, and a 24-hour diet recall with times, foods, quantities and locations consumed. The recall identified no fruit or vegetable intake and higher than recommended intake of oils/fats and discretionary calories. Conducting the three-pass interview was more difficult than anticipated as the client seemed to lose patience, though they knew portion sizes well.
Running Head Dietary Behavior PlanDietary Behavior Plan.docxsusanschei
Running Head: Dietary Behavior Plan
Dietary Behavior Plan
Koroki
Jan 28, 2018
62/100
It is very vital to have a good nutrition since I maintain good health since it helps me maintain a healthy weight. Observing good diet has a lot of benefits to me ranging from reducing risks of high blood pressure, chronic diseases such as diabetes, some cancers, heart diseases, stroke among others. This is why it’s prudent to observe my daily choices of food since it will ultimately have a significant difference in my health. In this case, I have decided to observe my diet by daily consumption of the salmon. The latter is peach/ pink fatty fish which has flaky consistency. This type of fish has unsaturated fats and vital protein. It contains low mercury and it is recommended to eat salmon 14 times in our week, roughly twice in a day. The fish also contain omega 3 (CDC, 2017).
I work very hard to very to ensure that I eat salmon fish a minimum of 10 times a week even though is below the recommended intake level and I am planning to have this increase to 14 times a week. I have also had the opportunity to work in my mom’s hotel called the Kempinski which is a four-star hotel. Therefore, I ensure I eat it in every meal to compensate the times I am in school and rarely had it twice a day (Sprague, 2015). Recommended intake level of what exactly? Need to be specific.
In many instances, I live with my mom who is a nutritionist and always emphasizes on a healthy diet. She has helped me with a great deal to observe my diet and assists me to be conscious of my food intake decision. Actually, she is against the consumption of high level of calories which she always tells me is the highest leading source of obesity. (Need to find a reference for this and cite it). The latter leads to chances of having cardiovascular. The latter is attributed to 25% of total death in America. Obesity also leads to one having low esteems and also leads to emotional disorder according to psychologists (Mozaffarian, 2015). I am 24 years of age and this is the age that one needs a lot of food consumption since he or she is highly active (need to cite this). I do a lot of work such as school work and, I used to have a part-time job. This calls me to eat well-balanced food to maintain my food health which will help me carry all dozens of activities. At this age too, one is vulnerable to being overweight or being an obesity since approximately 40% of adults and children are affected by the problem of obesity or overweight (need to cite this). I also ensure that I do not have a lot of calories consumption which I ensure it stands at an average of 1620 and an upper limit of 1800 in a four day (need to cite this). This has helped me maintain good weight which is at between 160 and 196lbls based on my height which is 6’0’’. Thus, has helped me observe a good life.
During the daytime, I take my lunch in a hotel or in the school cafeteria and in this case, I don’t have an opportunity t ...
1. The document summarizes the process of completing a dietary assessment using a Food Frequency Questionnaire (FFQ) and 3-Day Diet Record for a client named Sierra. It compares the results from these methods to MyPlate recommendations.
2. The FFQ estimated Sierra's intake of various food groups and nutrients differently than the 3-Day Diet Record. Specifically, the FFQ estimated higher protein intake and lower carbohydrate and fat intake compared to the 3-Day Diet Record.
3. Based on the results, the nutrition advice for Sierra focuses on increasing her intake of vegetables, fruits, and whole grains while decreasing her protein and discretionary calories, especially added sugars and alcohol. The FFQ is considered to
The document describes completing a food frequency questionnaire (FFQ) assignment with a partner. It discusses roles as interviewer and interviewee, evaluation of the FFQ, foods missing from the database, comparison of dietary assessment methods to MyPlate recommendations, which method best reflected usual intake, and nutrition advice. The experience emphasized how assessments can be overwhelming for clients and impact of the interviewer-client relationship. Both methods have advantages like representation of usual intake, but also disadvantages like accuracy of portion sizes and reliance on memory.
The dietary assessment compares the client's 3-day diet record and food frequency questionnaire to MyPlate recommendations. The client is meeting protein recommendations but falling short of fruit, vegetable, grain, dairy, and calorie recommendations. The interviewer notes challenges accurately recording occasional snacks and estimating restaurant meals. When analyzing the diet record, some brand-specific foods were unavailable requiring judgment. Recommendations focus on increasing fruit, vegetable, grain, and dairy intake through small dietary changes.
This document summarizes a dietary assessment of a client (CM) based on a 24-hour diet recall interview. Key points:
- The interview took 45-60 minutes to complete the recall and discuss portion sizes. Entering the data into a nutrition program was challenging when specific foods were not options.
- Based on analyzing CM's recall against recommendations, CM needs more vegetables, whole grains, protein, and certain vitamins/minerals.
- Recommendations for CM include increasing vegetable intake through varied options at meals and snacks, choosing whole grains, consuming more protein through foods like fish and beans, and incorporating nutrient-dense foods like salmon and leafy greens.
Anya Guy conducted a 3-day diet record and interview for a classmate. She found it difficult to accurately record her intake without measuring foods. Entering the data into NutritionCalc Plus was challenging as some supplements and brands were missing. The major challenge was that the software underestimated vitamin D and magnesium intake due to missing supplements. Recommendations for her classmate included decreasing supplements, increasing fruits, vegetables and dairy, and decreasing grains and added fats and oils.
The document summarizes a nutrition assessment interview conducted with a client. It includes details of supplements taken, physical activity, and a 24-hour diet recall with times, foods, quantities and locations consumed. The recall identified no fruit or vegetable intake and higher than recommended intake of oils/fats and discretionary calories. Conducting the three-pass interview was more difficult than anticipated as the client seemed to lose patience, though they knew portion sizes well.
Running Head Dietary Behavior PlanDietary Behavior Plan.docxsusanschei
Running Head: Dietary Behavior Plan
Dietary Behavior Plan
Koroki
Jan 28, 2018
62/100
It is very vital to have a good nutrition since I maintain good health since it helps me maintain a healthy weight. Observing good diet has a lot of benefits to me ranging from reducing risks of high blood pressure, chronic diseases such as diabetes, some cancers, heart diseases, stroke among others. This is why it’s prudent to observe my daily choices of food since it will ultimately have a significant difference in my health. In this case, I have decided to observe my diet by daily consumption of the salmon. The latter is peach/ pink fatty fish which has flaky consistency. This type of fish has unsaturated fats and vital protein. It contains low mercury and it is recommended to eat salmon 14 times in our week, roughly twice in a day. The fish also contain omega 3 (CDC, 2017).
I work very hard to very to ensure that I eat salmon fish a minimum of 10 times a week even though is below the recommended intake level and I am planning to have this increase to 14 times a week. I have also had the opportunity to work in my mom’s hotel called the Kempinski which is a four-star hotel. Therefore, I ensure I eat it in every meal to compensate the times I am in school and rarely had it twice a day (Sprague, 2015). Recommended intake level of what exactly? Need to be specific.
In many instances, I live with my mom who is a nutritionist and always emphasizes on a healthy diet. She has helped me with a great deal to observe my diet and assists me to be conscious of my food intake decision. Actually, she is against the consumption of high level of calories which she always tells me is the highest leading source of obesity. (Need to find a reference for this and cite it). The latter leads to chances of having cardiovascular. The latter is attributed to 25% of total death in America. Obesity also leads to one having low esteems and also leads to emotional disorder according to psychologists (Mozaffarian, 2015). I am 24 years of age and this is the age that one needs a lot of food consumption since he or she is highly active (need to cite this). I do a lot of work such as school work and, I used to have a part-time job. This calls me to eat well-balanced food to maintain my food health which will help me carry all dozens of activities. At this age too, one is vulnerable to being overweight or being an obesity since approximately 40% of adults and children are affected by the problem of obesity or overweight (need to cite this). I also ensure that I do not have a lot of calories consumption which I ensure it stands at an average of 1620 and an upper limit of 1800 in a four day (need to cite this). This has helped me maintain good weight which is at between 160 and 196lbls based on my height which is 6’0’’. Thus, has helped me observe a good life.
During the daytime, I take my lunch in a hotel or in the school cafeteria and in this case, I don’t have an opportunity t ...
This document summarizes a 24-hour diet and activity recall interview conducted by Mia Matthews with client CF on February 4, 2015. It includes a detailed log of all foods and beverages consumed by CF over the past 24 hours, along with any supplements taken and physical activities. Mia notes some challenges in the interview, such as CF having difficulty recalling all intake initially and some foods not having exact matches in the database. Mia was able to determine CF consumed more empty calories and oils/fats than recommended.
Food & Beverage Record SheetNameJiwu CuiDate 1024 .docxkeugene1
Food & Beverage Record Sheet
Name: Jiwu Cui Date: 10/24 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
9am
Whole organic milk
1 glass
9am
Organic brown eggs
2
12:30pm
Thai basil fried rice
1
8pm
Noodle
1
Food & Beverage Record Sheet
Name: Jiwu Cui Date:10/25 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
8am
Whole organic milk
1 glass
8am
Organic brown eggs
2
8:30
Hot water
2 cups
1pm
Fried chicken wings
8 pieces
7pm
Lettuce and cheese Sandwiches
1
Food & Beverage Record Sheet
Name: Jiwu Cui Date:10/26 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
10am
Organic whole milk
1 glass
10am
Organic brown eggs
2
1:30pm
BBQ chicken rice
1
3:30pm
Hot mocha
1 cup
7:30pm
Bacon cheese burritos
1
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/29 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Muscle strength training
60 minutes
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/30 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Running
10 minutes
Muscle strength training
40 minutes
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/31 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Indoor Cycling
10 minutes
Muscle strength training
50 minutes
“MyPlate Checklist”
Recommended servings/day per food group based on gender
To estimate serving sizes, go tohttps://www.choosemyplate.gov/, and select “MyPlate” on the top left hand menu bar. Select each group individually e.g. Fruits, Vegetables”, etc for serving sizes for each group. This is not a perfect science, but an estimate of what you’re eating.
Food Group
Fruits
Vegetables
Protein Foods
Grains
Dairy.
The document describes a sample assessment called CWRA+ for middle schools that measures students' critical thinking and writing skills. It consists of a performance task requiring written responses and selected response questions across three domains: scientific reasoning, critical reading, and critique of arguments. The tasks are designed to assess general skills applicable to various academic fields and life outside school, like problem solving, analysis, and writing mechanics. A sample performance task scenario and document library are provided to familiarize students with the format.
Diet Analysis Project Using theUSDA SuperTracker 1. Log int.docxlynettearnold46882
Diet Analysis Project Using the
USDA SuperTracker
1. Log into the SuperTracker program:
https://www.supertracker.usda.gov/default.aspx
a. Start by creating a profile, which includes entering your age, height, weight, activity level etc. and register your profile.
2. Record your food intake for 7 days. It’s best to enter your food daily but you can keep a log of everything that you eat and enter all your food at one time by clicking on the calendar and selecting the correct days. Try to be as accurate as possible. You might want to measure your favorite bowl or glass to see how much it holds. When you are logging foods, be as specific as you can.
a. For example: turkey sandwich – 3oz turkey, 1 tea. mayonnaise, 1 tea. mustard, 1 slice tomato, 1 lettuce leaf, 2 slices of whole wheat bread. If you don’t want to log individual food items, you can pick a prepared/processed choice but your results will not be as accurate.
b. If you eat homemade meals, do the best you can. You might need to enter each ingredient individually. The program allows you to create recipes or typical meals that you can name and use to make entering food easier. If you create recipes and eat then consistently, please include the recipe so I can see what you are eating.
c. Please do not enter your vitamin supplement into the program. The goal is to see how your food choices stack up. If you consume protein powder supplements, try running your program with and without the supplement to see the impact that it has on your diet. Again, the goal is to see how your food intake impacts your required nutrients. A vitamin supplement can make a poor diet look great.
d. Please note that this program will not have every brand of a particular processed food. You may need to select a product that is closest to what you would normally consume.
Print the following reports as seven-day averages. You can do this by selecting date ranges from the calendar on the webpage under reports. (Examples are found at the end of this document):
a. Meal Summary Report – 7 pts.
b. Food Groups & Calories Report- 2 pts.
c. Nutrients Report – 2 pts.
3. Looking over your 7-day reports (Food Groups and Calories and Nutrient Report), please highlight the following (this means using a highlighter marker). 4 pts.
a. Any nutrient category that has an under status on the Nutrient Report and the Food Groups and Calories report.
b. The following nutrients that are have anover status, which might increase your risk of disease or other health issue.
c. Nutrient groups (carbs, fats, protein) that are not within recommended ranges. This is on the Nutrients report page and will show as over or under if not in range
d. Food groups on the Food Groups and Calories report that are low for any category. These will also be marked with an under status. The Food Groups includes grains, fruit, vegetables, dairy, protein and oils. Some of these categories give more specific information such as different co.
This document outlines the activities, assignments, assessments and learning targets for a health and nutrition unit. It includes interactive power points, reading nutrition labels, creating a FITT plan, a 2-day food plan, daily warm-ups, a personal nutrition survey, notes, watching and analyzing the movie "Super Size Me", an activity on portion sizes, building a healthy meal, analyzing BMI, learning about energy drinks, and more. The goal is for students to understand nutrition, fitness, and how to live a healthy lifestyle.
Madysen Jourgensen conducted a 3-day diet record and analysis for her classmate HLO. The analysis found that HLO consumed an average of 2,891 calories per day, exceeding her estimated needs. HLO's intake of fruits and vegetables was below MyPlate recommendations. Madysen recommended HLO cut back on excess calories from sugary foods and saturated fats, and increase her fruit intake by having one at each meal to better meet her nutritional needs. The diet record provided insight into HLO's eating habits but may not have been fully representative of her typical intake.
Where previously most people take health for granted, now most
people make a conscious effort to stay healthy. Part of staying healthy
is knowing the benefits of exercise, living according to appropriate
lifestyle habits, healthy dietary choices and generally keeping stress
levels as low as possible. Get all the info you need here.
Lecture 5 Measures of dietary exposure in individualsramseyr
This document discusses various methods for measuring dietary intake and their strengths and limitations, including:
- Food diaries/records provide detailed intake data but place high respondent burden. Recall methods rely on memory.
- Common methods are 24-hour recalls, food frequency questionnaires, and diet histories which estimate usual intake over time but have errors from memory and portion size estimation.
- It is important to understand the errors in dietary assessment methods to minimize and account for them in analysis and interpretation of results. Validity should be established for the population and nutrient of interest.
Introducing Wellness Dietetic- Amazing Tips to eat well and live Healthily. Inside this book, you will discover the topics about Health and Wealth, Nutrition is important, Watch your Calories, Live a Healthy lifestyle, Your Foof Choices, Exercise your way to a Better well Being, Detox your waste, and Essential Vitamines.
Effective microorganisms (EM) are mixtures of naturally occurring microbes that are beneficial for soil quality, plant growth, and decomposition of organic matter. EM was developed in the 1980s as an alternative to agrochemicals and is meant to supplement existing agricultural practices. It works by increasing the population and activity of beneficial microbes like yeasts, photosynthetic bacteria, and lactic acid bacteria, which break down organic materials, compete with pathogens, and improve soil health. Studies show EM treatment improves soil conditions by lowering pH, decreasing salinity, and increasing enzymatic activity more than conventional remediation methods.
This document presents a case study of a 41-year-old male patient (SW) with chronic kidney disease who is undergoing hemodialysis 3 times per week. It provides details on his medical history, social history, physical exam findings, laboratory values, current diet, and medication regimen. It finds that his current diet is low in calories and protein and high in phosphorus and potassium. It develops an intervention plan focused on increasing calorie intake, reducing phosphorus intake, and educating on limiting high potassium and phosphorus foods given his chronic kidney disease and medications. It discusses how the patient is at risk for secondary hyperparathyroidism due to low calcium levels and provides a recent literature reference on managing this condition in
The document provides details on a final project for a nutrition course involving modifying a cinnamon pecan coffee cake recipe to be lactose-free. The original recipe contains butter and milk. The student tested substitutions for these dairy ingredients using almond milk, coconut milk, rice milk, and an Earth Balance spread. This reduced the lactose content to 0% while aiming to keep taste and texture comparable. Some issues encountered were lighter color and cakes sticking, which were addressed by adding a streusel topping and baking on parchment paper. Nutritional analyses found the modifications resulted in higher sodium and lower calcium contents.
Kiwi fruits are a nutrient-dense fruit packed with antioxidants that can support immune health. They contain high levels of vitamin C and antioxidants like vitamin E in their peel. Studies show that kiwi consumption is linked to improved immune system function as their compounds help regulate immune cells. Kiwis are easy to incorporate into the diet and prepare - they can be eaten whole, skin and all, and used in foods like smoothies and salads.
Organophosphate insecticides are commonly used in agriculture in the United States, with over 70 million pounds applied annually. They work by interfering with the nervous system in both insects and humans. In humans, organophosphate poisoning can damage fertility and liver and neurological function, and cause symptoms like tremors, headaches, and blurred vision. It is important to seek medical help if exposed in order to prevent acute or chronic toxicity. Protective measures like wearing clothing and eating antioxidants can help prevent organophosphate poisoning.
This document discusses the effects of organophosphate (OP) insecticide exposure on human development. It begins by explaining the mechanism of OP poisoning, which is inhibition of the acetylcholinesterase enzyme, leading to acetylcholine accumulation and oxidative stress. Specific physiological outcomes of OP exposure are then outlined, including reduced fertility due to hormone imbalance and egg/sperm damage, altered glucose metabolism and insulin resistance contributing to diabetes, and cognitive decline resulting from neuronal damage. The document recommends increased antioxidant intake through foods like vitamins A and E to reduce oxidative stress in highly exposed groups like farmworkers.
The document discusses how fat tissue is essential but obesity has become a worldwide epidemic. It describes several factors that have contributed to increased obesity rates, including changes to the human diet with the introduction of cereal grains, refined sugars and oils through agriculture, a more sedentary lifestyle, and genetic factors. The rise in obesity is linked to various metabolic diseases like type 2 diabetes, dyslipidemia, and insulin resistance.
This document summarizes a 24-hour diet and activity recall interview conducted by Mia Matthews with client CF on February 4, 2015. It includes a detailed log of all foods and beverages consumed by CF over the past 24 hours, along with any supplements taken and physical activities. Mia notes some challenges in the interview, such as CF having difficulty recalling all intake initially and some foods not having exact matches in the database. Mia was able to determine CF consumed more empty calories and oils/fats than recommended.
Food & Beverage Record SheetNameJiwu CuiDate 1024 .docxkeugene1
Food & Beverage Record Sheet
Name: Jiwu Cui Date: 10/24 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
9am
Whole organic milk
1 glass
9am
Organic brown eggs
2
12:30pm
Thai basil fried rice
1
8pm
Noodle
1
Food & Beverage Record Sheet
Name: Jiwu Cui Date:10/25 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
8am
Whole organic milk
1 glass
8am
Organic brown eggs
2
8:30
Hot water
2 cups
1pm
Fried chicken wings
8 pieces
7pm
Lettuce and cheese Sandwiches
1
Food & Beverage Record Sheet
Name: Jiwu Cui Date:10/26 Day of Project (select one): 1 2 3
Instructions: Write down everything you eat and drink for a 24-hour period. See the first page of project instructions for more details on how to record your food and beverages.
Time of Day What You Ate or Drank Amount
10am
Organic whole milk
1 glass
10am
Organic brown eggs
2
1:30pm
BBQ chicken rice
1
3:30pm
Hot mocha
1 cup
7:30pm
Bacon cheese burritos
1
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/29 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Muscle strength training
60 minutes
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/30 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Running
10 minutes
Muscle strength training
40 minutes
Physical Activity Record Sheet
Name: Jiwu Cui Date:10/31 Day of Project (select one): 1 2 3
Instructions: Write down all activities for a 24-hour period
Type Of Activity Time Spent On Activity
Indoor Cycling
10 minutes
Muscle strength training
50 minutes
“MyPlate Checklist”
Recommended servings/day per food group based on gender
To estimate serving sizes, go tohttps://www.choosemyplate.gov/, and select “MyPlate” on the top left hand menu bar. Select each group individually e.g. Fruits, Vegetables”, etc for serving sizes for each group. This is not a perfect science, but an estimate of what you’re eating.
Food Group
Fruits
Vegetables
Protein Foods
Grains
Dairy.
The document describes a sample assessment called CWRA+ for middle schools that measures students' critical thinking and writing skills. It consists of a performance task requiring written responses and selected response questions across three domains: scientific reasoning, critical reading, and critique of arguments. The tasks are designed to assess general skills applicable to various academic fields and life outside school, like problem solving, analysis, and writing mechanics. A sample performance task scenario and document library are provided to familiarize students with the format.
Diet Analysis Project Using theUSDA SuperTracker 1. Log int.docxlynettearnold46882
Diet Analysis Project Using the
USDA SuperTracker
1. Log into the SuperTracker program:
https://www.supertracker.usda.gov/default.aspx
a. Start by creating a profile, which includes entering your age, height, weight, activity level etc. and register your profile.
2. Record your food intake for 7 days. It’s best to enter your food daily but you can keep a log of everything that you eat and enter all your food at one time by clicking on the calendar and selecting the correct days. Try to be as accurate as possible. You might want to measure your favorite bowl or glass to see how much it holds. When you are logging foods, be as specific as you can.
a. For example: turkey sandwich – 3oz turkey, 1 tea. mayonnaise, 1 tea. mustard, 1 slice tomato, 1 lettuce leaf, 2 slices of whole wheat bread. If you don’t want to log individual food items, you can pick a prepared/processed choice but your results will not be as accurate.
b. If you eat homemade meals, do the best you can. You might need to enter each ingredient individually. The program allows you to create recipes or typical meals that you can name and use to make entering food easier. If you create recipes and eat then consistently, please include the recipe so I can see what you are eating.
c. Please do not enter your vitamin supplement into the program. The goal is to see how your food choices stack up. If you consume protein powder supplements, try running your program with and without the supplement to see the impact that it has on your diet. Again, the goal is to see how your food intake impacts your required nutrients. A vitamin supplement can make a poor diet look great.
d. Please note that this program will not have every brand of a particular processed food. You may need to select a product that is closest to what you would normally consume.
Print the following reports as seven-day averages. You can do this by selecting date ranges from the calendar on the webpage under reports. (Examples are found at the end of this document):
a. Meal Summary Report – 7 pts.
b. Food Groups & Calories Report- 2 pts.
c. Nutrients Report – 2 pts.
3. Looking over your 7-day reports (Food Groups and Calories and Nutrient Report), please highlight the following (this means using a highlighter marker). 4 pts.
a. Any nutrient category that has an under status on the Nutrient Report and the Food Groups and Calories report.
b. The following nutrients that are have anover status, which might increase your risk of disease or other health issue.
c. Nutrient groups (carbs, fats, protein) that are not within recommended ranges. This is on the Nutrients report page and will show as over or under if not in range
d. Food groups on the Food Groups and Calories report that are low for any category. These will also be marked with an under status. The Food Groups includes grains, fruit, vegetables, dairy, protein and oils. Some of these categories give more specific information such as different co.
This document outlines the activities, assignments, assessments and learning targets for a health and nutrition unit. It includes interactive power points, reading nutrition labels, creating a FITT plan, a 2-day food plan, daily warm-ups, a personal nutrition survey, notes, watching and analyzing the movie "Super Size Me", an activity on portion sizes, building a healthy meal, analyzing BMI, learning about energy drinks, and more. The goal is for students to understand nutrition, fitness, and how to live a healthy lifestyle.
Madysen Jourgensen conducted a 3-day diet record and analysis for her classmate HLO. The analysis found that HLO consumed an average of 2,891 calories per day, exceeding her estimated needs. HLO's intake of fruits and vegetables was below MyPlate recommendations. Madysen recommended HLO cut back on excess calories from sugary foods and saturated fats, and increase her fruit intake by having one at each meal to better meet her nutritional needs. The diet record provided insight into HLO's eating habits but may not have been fully representative of her typical intake.
Where previously most people take health for granted, now most
people make a conscious effort to stay healthy. Part of staying healthy
is knowing the benefits of exercise, living according to appropriate
lifestyle habits, healthy dietary choices and generally keeping stress
levels as low as possible. Get all the info you need here.
Lecture 5 Measures of dietary exposure in individualsramseyr
This document discusses various methods for measuring dietary intake and their strengths and limitations, including:
- Food diaries/records provide detailed intake data but place high respondent burden. Recall methods rely on memory.
- Common methods are 24-hour recalls, food frequency questionnaires, and diet histories which estimate usual intake over time but have errors from memory and portion size estimation.
- It is important to understand the errors in dietary assessment methods to minimize and account for them in analysis and interpretation of results. Validity should be established for the population and nutrient of interest.
Introducing Wellness Dietetic- Amazing Tips to eat well and live Healthily. Inside this book, you will discover the topics about Health and Wealth, Nutrition is important, Watch your Calories, Live a Healthy lifestyle, Your Foof Choices, Exercise your way to a Better well Being, Detox your waste, and Essential Vitamines.
Effective microorganisms (EM) are mixtures of naturally occurring microbes that are beneficial for soil quality, plant growth, and decomposition of organic matter. EM was developed in the 1980s as an alternative to agrochemicals and is meant to supplement existing agricultural practices. It works by increasing the population and activity of beneficial microbes like yeasts, photosynthetic bacteria, and lactic acid bacteria, which break down organic materials, compete with pathogens, and improve soil health. Studies show EM treatment improves soil conditions by lowering pH, decreasing salinity, and increasing enzymatic activity more than conventional remediation methods.
This document presents a case study of a 41-year-old male patient (SW) with chronic kidney disease who is undergoing hemodialysis 3 times per week. It provides details on his medical history, social history, physical exam findings, laboratory values, current diet, and medication regimen. It finds that his current diet is low in calories and protein and high in phosphorus and potassium. It develops an intervention plan focused on increasing calorie intake, reducing phosphorus intake, and educating on limiting high potassium and phosphorus foods given his chronic kidney disease and medications. It discusses how the patient is at risk for secondary hyperparathyroidism due to low calcium levels and provides a recent literature reference on managing this condition in
The document provides details on a final project for a nutrition course involving modifying a cinnamon pecan coffee cake recipe to be lactose-free. The original recipe contains butter and milk. The student tested substitutions for these dairy ingredients using almond milk, coconut milk, rice milk, and an Earth Balance spread. This reduced the lactose content to 0% while aiming to keep taste and texture comparable. Some issues encountered were lighter color and cakes sticking, which were addressed by adding a streusel topping and baking on parchment paper. Nutritional analyses found the modifications resulted in higher sodium and lower calcium contents.
Kiwi fruits are a nutrient-dense fruit packed with antioxidants that can support immune health. They contain high levels of vitamin C and antioxidants like vitamin E in their peel. Studies show that kiwi consumption is linked to improved immune system function as their compounds help regulate immune cells. Kiwis are easy to incorporate into the diet and prepare - they can be eaten whole, skin and all, and used in foods like smoothies and salads.
Organophosphate insecticides are commonly used in agriculture in the United States, with over 70 million pounds applied annually. They work by interfering with the nervous system in both insects and humans. In humans, organophosphate poisoning can damage fertility and liver and neurological function, and cause symptoms like tremors, headaches, and blurred vision. It is important to seek medical help if exposed in order to prevent acute or chronic toxicity. Protective measures like wearing clothing and eating antioxidants can help prevent organophosphate poisoning.
This document discusses the effects of organophosphate (OP) insecticide exposure on human development. It begins by explaining the mechanism of OP poisoning, which is inhibition of the acetylcholinesterase enzyme, leading to acetylcholine accumulation and oxidative stress. Specific physiological outcomes of OP exposure are then outlined, including reduced fertility due to hormone imbalance and egg/sperm damage, altered glucose metabolism and insulin resistance contributing to diabetes, and cognitive decline resulting from neuronal damage. The document recommends increased antioxidant intake through foods like vitamins A and E to reduce oxidative stress in highly exposed groups like farmworkers.
The document discusses how fat tissue is essential but obesity has become a worldwide epidemic. It describes several factors that have contributed to increased obesity rates, including changes to the human diet with the introduction of cereal grains, refined sugars and oils through agriculture, a more sedentary lifestyle, and genetic factors. The rise in obesity is linked to various metabolic diseases like type 2 diabetes, dyslipidemia, and insulin resistance.
2. Process
of
Completing
DHQ
The
DHQ
took
a
lot
more
time
than
I
thought
it
would.
Going
through
each
food
the
client
has
consumed
in
the
past
year
seemed
to
be
somewhat
of
a
burden
for
the
client.
I
feel
like
it
would
be
somewhat
difficult
to
get
clients
to
really
invest
time
into
this.
As
the
client,
it
was
actually
really
interesting
to
be
able
to
go
back
and
really
think
about
how
frequently
I
ate
different
food
groups.
I
did
find
it
somewhat
hard
to
be
able
to
state
just
how
many
times
a
week
I
ate
something,
and
how
much
of
it
(especially
when
it
came
to
fruits
and
veggies).
I
did
think
that
the
FFQ
was
a
really
interesting
tool.
It
encompassed
the
different
food
groups
fairly
well.
It
was
not
very
specific
about
foods,
which
I
think
could
have
a
really
big
effect
on
the
outcome.
For
example,
it
would
ask
how
much
juice
someone
consumed,
but
there
is
a
huge
difference
between
apple
juice
and
pineapple
juice.
Also,
some
of
the
foods,
like
salksa,
did
seem
really
random
to
me.
I
feel
that
this
questionnaire
would
not
really
be
helpful
for
clients
of
different
cultures
and
ethnicities,
because
a
lot
of
the
foods
they
eat
were
not
included
in
the
questionnaire.
I
also
think
it
is
hard
for
clients
to
visualize
how
many
cups
of
fruit
they
ate
if
they
just
ate
the
whole
fruit,
or
a
slice
of
melon.
I
do
think
it
is
useful
for
getting
a
general
sense
of
someone’s
overall
diet.
Compare
and
Contrast
FFQ
and
3-‐Day
Diet
Recall
Macronutrients-‐I
was
actually
fairly
surprised
by
how
similar
the
outcomes
of
the
3-‐day
diet
record
and
the
FFQ
were
for
macronutrient
intake.
They
all
fall
into
the
%
of
total
calorie
ranges
that
are
recommended
by
MyPlate,
but
both
the
carbohydrates
and
the
fats
fall
on
the
lower
end
of
the
scale
if
you
look
at
the
actual
grams
of
the
macronutrient
that
are
recommended.
MyPlate
recommends
around
342
grams
of
carbs
and
the
client
consumed
only
about
half
of
that
(consistent
with
both
the
3-‐day
and
the
FFQ.)
The
client
was
actually
right
in
range
for
fat
intake
on
the
FFQ,
which
could
mean
that
they
do
consume
a
proper
amount
of
fats
in
their
diet.
They
just
might
not
be
very
consistent
about
it.
Fruits-‐The
client
was
much
lower
on
intake
of
fruits
in
the
3
day
diet
record
(0.2
cups)
than
they
were
on
the
FFQ
(1.6
cups).
I
think
that
some
of
this
may
be
that
they
consume
a
lot
of
fruit
over
the
summer,
and
even
weekly
they
seem
to
spread
it
out
between
a
few
days
a
week.
This
could
explain
why
she
is
much
closer
to
meeting
the
recommendation
on
the
FFQ
rather
than
a
snapshot
of
3
days
of
her
diet.
Compared
to
the
MyPlate
recommendation
(2
cups),
she
is
almost
at
that
goal
on
the
FFQ.
Vegetables-‐The
amount
of
vegetables
consumed
on
the
3-‐day
record
(1
cup)
vs.
the
FFQ
(0.9
cup)
were
very
similar.
It
is
possible
that
the
client
is
much
more
consistent
about
when
they
consume
vegetables
throughout
their
diet.
This
could
explain
why
the
amounts
consumed
are
so
close.
Compared
to
the
MyPlate
recommendation,
this
is
a
low
intake.
Grains-‐
The
client
did
not
meet
the
recommended
intake
for
grains
(8
oz-‐eq)
in
either
the
FFQ
(3.3
oz-‐
eq)
or
the
3-‐day
(5.1
oz-‐eq).
The
numbers
are
different
between
the
two
dietary
assessments,
but
the
client
seems
to
be
consistently
low
in
grain
intake.
Protein
Foods-‐
The
client
did
not
meet
the
recommended
intake
for
protein
(6.5
oz-‐eq)
according
to
the
FFQ
(2.3
oz-‐eq)
and
the
3-‐day
(4.9
oz-‐eq).
They
were
much
closer
to
meeting
their
goals
in
the
3-‐day
record,
which
could
mean
that
they
are
not
consistent
about
eating
proteins.
This
could
be
that
they
get
a
lot
of
their
proteins
from
meat,
and
they
may
only
want
to
purchase
and
consume
meat
a
few
times
a
week.
3. Dairy-‐
The
client
is
very
good
with
dairy
intake.
The
recommendation
is
3
cups,
and
they
were
just
in
range
for
both
the
FFQ
(3.2
cups)
and
the
3-‐day
(2.7
cups).
This
could
mean
that
the
client
is
consistently
consuming
dairy
throughout
the
year.
Added
Oils/Fats-‐
I
am
not
sure
if
I
did
this
correctly,
but
the
FFQ
had
a
discretionary
fats
(solid
and
oil)
section,
which
I
thought
better
fell
under
added
oils/fats.
I
converted
the
grams
in
provided
in
the
FFQ
into
teaspoons
(11.9
tsp),
which
came
out
to
be
higher
than
the
recommended
(7
tsp).
If
I
read
this
correctly,
the
overall
intake
of
added
oils
and
fats
is
high.
As
far
as
the
3-‐day
record
goes,
the
client
was
below
their
recommended
intake
of
added
oils
and
fats.
Discretionary
calories-‐
Because
I
used
the
discretionary
oils/fats
for
the
added
oils/fats
for
the
FFQ,
I
was
not
entirely
sure
how
to
calculate
the
discretionary
calories.
There
was
an
added
sugars
option.
I
think
that
the
FFQ
was
not
very
thorough
when
it
talked
about
processed
foods,
which
is
a
major
source
of
discretionary
calories.
It
mainly
asked
about
whole
food
groups.
I
could
see
the
FFQ
improving
in
this
area.
The
client
was
right
around
their
goal
for
the
3-‐day
record
compared
to
the
MyPlate
recommendations.
I
think
that
the
FFQ
was
actually
a
bit
more
accurate
in
reflecting
the
clients
overall
diet.
It
seems
that
just
a
3-‐day
snapshot
can
easily
misrepresent
intake
of
certain
food
groups
that
an
individual
may
be
less
consistent
with
(in
my
client’s
case,
fruit).
I
do
think
it
is
really
helpful
to
be
able
to
compare
the
two,
because
then
you
can
actually
see
what
food
groups
are
consistent
in
their
diet.
As
far
as
completing
the
two
dietary
assessments,
they
are
both
somewhat
time
consuming.
It
seems
it
would
differ
from
person
to
person
on
whether
they
would
just
want
to
come
in
for
a
90
minute
session
to
complete
an
FFQ,
or
whether
they
would
like
to
complete
a
food
diary
for
3
days
and
sit
down
with
a
dietitian
to
discuss
it.
The
FFQ
seems
like
a
little
less
burden
on
the
client.
Nutrition
Advice-‐
Fruit-‐
The
DGA
states
that
fruits
are
a
great
source
of
nutrients
that
are
low
in
calories,
and
are
associated
with
a
decreased
risk
of
chronic
disease
(pg.
35,36).
Because
the
client
was
low
on
fruit
intake
throughout
the
year,
I
would
really
emphasize
the
importance
of
consuming
more
fruit
year-‐
round
(not
just
over
the
summer).
Explaining
to
them
how
the
nutrients
absorbed
from
fruits
work
(stored
vs
not
stored)
it
may
give
them
a
better
understanding
of
why
consuming
them
regularly
is
beneficial.
Grains-‐
The
client
was
on
the
low-‐end
of
grain
consumption.
I
would
recommend
that
the
client
pay
close
attention
to
getting
the
proper
oz-‐eq
of
grains
each
day.
The
DGA
recommends
that
half
of
the
grains
you
consume
are
whole
grains
(pg
36),
which
I
would
recommend
for
the
client.
Macronutrients-‐
The
client
was
low
for
intake
of
carbohydrates.
As
they
were
also
low
in
grain
intake,
I
think
that
an
increase
of
grains
could
help
to
increase
their
carb
intake,
especially
if
they
are
consuming
more
whole
grains.
Protein
foods-‐
The
client
was
low
on
protein
intake,
which
I
would
recommend
they
increase.
The
DGA
states
that
consuming
a
variety
of
proteins
like
fish,
beans,
meat,
milk
can
be
extremely
beneficial
for
health,
rather
than
just
sticking
to
the
more
common
proteins
like
meat,
chicken
and
eggs.
I
would
recommend
that
the
client
tries
to
vary
the
type
of
proteins
they
are
consuming,
which
may
help
them
to
consume
more.
4. Added
oils/fats-‐
Intake
of
added
oils
and
fats
was
significantly
high.
The
DGA
recognizes
that
not
all
fats
are
bad
for
you
and,
in
fact,
unsaturated
fats
can
have
great
health
benefits
(pg.
40).
I
would
recommend
that
the
client
starts
to
substitute
in
healthier
fats
by
avoiding
fats
that
are
solid
at
room
temperature,
and
welcoming
ones
that
are
in
a
natural
liquid
state
at
room
temp.
It
may
also
be
good
for
them
to
add
less
fat/oils
to
foods
that
they
cook.
Experience
and
Reflection-‐
This
assignment
really
gave
me
a
better
understanding
on
how
difficult
it
is
to
assess
an
individual’s
diet,
as
well
as
how
inconvenient
it
may
be
for
the
client.
Especially
if
a
client
is
looking
for
food
assistance,
I
feel
that
this
process
may
not
be
as
beneficial
for
them.
It
seems
that
for
these
methods
to
be
successful,
you
have
to
have
a
client
who
is
invested
in
their
health
and
who
really
want
to
be
as
accurate
as
possible.
Either
of
these
assessments
could
easily
be
fabricated,
or
may
not
receive
all
of
the
attention
to
detail
they
need
to
make
them
accurate.
Both
processes
are
fairly
time
and
energy
consuming,
and
I
can
easily
see
where
that
could
be
off-‐putting
for
clients.
As
far
as
accuracy
of
the
assessments
go,
assuming
the
client
has
been
thorough
and
honest,
I
think
that
both
have
their
flaws.
The
3-‐day
diet
record
seems
somewhat
impractical
as
a
representation
of
overall
diet.
Not
many
people
eat
very
consistently,
which
could
misrepresent
some
food
groups
within
someone’s
diet.
I
do
think
that
it
is
really
helpful
in
targeting
specific
nutrients
or
food
groups
that
may
not
be
consumed
enough
regularly.
The
FFQ
is
really
great
for
getting
a
broad
sense
of
what
an
individual
is
consuming,
but
it
lacks
in
specificity.
I
think
that
they
do
lose
some
of
the
accuracy
of
the
questionnaire
by
generalizing
a
lot
of
the
foods.
I
do
realize
that
some
of
this
may
be
to
save
some
time,
as
asking
specific
questions
about
foods
consumed
could
take
all
day
(which
I’m
sure
would
not
make
it
very
user-‐friendly).
I
think
that
this
project
was
really
eye
opening,
and
was
a
great
opportunity
to
become
familiar
with
these
two
dietary
assessment
methods.
Respondent ID: 828726074
5. At the time you completed your Diet History Questionnaire, we asked
you to
report usual frequencies and portion sizes over the past year. Below
you will
see your results. We have calculated your usual daily intake of
nutrients and
food groups, and provide you with the current recommended daily
intakes for
your age and gender.
These nutrient and food group intakes are only as good as the accuracy
of the
information provided by you and the ability of the instrument to
evaluate your
diet. Long dietary questionnaires ask individuals about many foods
and portion
sizes and cannot be done with complete accuracy. Filling out the
questionnaire
requires a fair amount of averaging and remembering which can be
difficult.
Furthermore, it is possible that the questionnaire may not have asked
you
enough about your diet to reflect your true intake. This is
especially true if
many of the foods that you eat were not listed on the questionnaire or
if you
prepare foods in special ways that we did not ask about. In
particular, the
measurement of the number of calories you consume may not be accurate.
However,
in most cases, the information below provides a reasonable indication
of your
overall diet.
Your intake of nutrients
Nutrient Your Daily Intake Recommended Intake
______________________________________________________________________
___________
GRAMWT_G_USDA 2909 No specific
recommendation
ENERGY_KCAL_USDA 1784 Depends on
age/gender/activity level
TOTAL_FAT_G_USDA 73.8 No specific
recommendation
CARBOHYDRATE_G_USDA 198 Men and Women: 19+ yr:
130
PROTEIN_G_USDA 64.8 Men, 19+ yr: 56
Women, 19+ yr: 46
6. ALCOHOL_G_USDA 16.6 No specific
recommendation
CHOLESTEROL_MG_USDA 187 Less than 300 mg
TOTAL_SATURATED_FATTY_ACID 28.5 Should be minimized
TOTAL_MONOUNSATURATED_FATT 26.4 No specific
recommendation
TOTAL_POLYUNSATURATED_FATT 12.5 No specific
recommendation
DIETARY_FIBER_G_USDA 15.8 Men 19-50 yr: 38
Men 50+ yr: 30
Women 19-50 yr: 25
Women 50+ yr: 21
RETINOL_MCG_USDA 456 No specific
recommendation
VITAMIN_E_AS_ALPHA_TOCOPHE 7.8 Men and Women, 19+ yr:
15
VITAMIN_K_MCG_USDA 56.8 No specific
recommendation
VITAMIN_C_MG_USDA 126 Men, 19+ yr: 90
Women, 19+ yr: 75
THIAMIN_VITAMIN_B1_MG_USDA 1.4 Men, 19+ yr: 1.2
Women, 19+ yr: 1.1
RIBOFLAVIN_VITAMIN_B2_MG_U 2.5 Men, 19+ yr: 1.3
Women, 19+ yr: 1.1
NIACIN_MG_USDA 20.6 Men, 19+ yr: 16
Women, 19+ yr: 14
VITAMIN_B6_MG_USDA 2.2 Men, 19-50 yr: 1.3
Men, 50+ yr: 1.7
Women, 19-50 yr: 1.3
Women, 50+ yr: 1.5
TOTAL_FOLATE_MCG_USDA 469 Men and Women: 400
VITAMIN_B12_MCG_USDA 6.6 Men and Women, 19+ yr:
2.4
CALCIUM_MG_USDA 1270 Men and Women, 19-50 yr:
1000
Men and Women, 50+ yr:
1200
PHOSPHORUS_MG_USDA 1407 Men and Women, 19+ yr:
700
MAGNESIUM_MG_USDA 320 Men, 19-30 yr: 400
Men, 30+ yr: 420
Women, 19-30 yr: 310
7. Women, 30+ yr: 320
IRON_MG_USDA 13.5 Men, 19+ yr: 8
Women, 19-50 yr: 18
Women, 50+ yr: 8
ZINC_MG_USDA 11.2 Men, 19+ yr: 11
Women, 19+ yr: 8
COPPER_MG_USDA 1.2 No specific
recommendation
SELENIUM_MCG_USDA 93.7 No specific
recommendation
SODIUM_MG_USDA 1987* Men and Women 19-50 yr:
1500 mg (limit intake beyond this)
Men and Women 51-70 yr:
1300 mg (limit intake beyond this)
Men and Women >70 yr:
1200 mg (limit intake beyond this)
POTASSIUM_MG_USDA 2819 No specific
recommendation
SFA_4_0_BUTANOIC_ACID_G_US 0.9 No specific
recommendation
SFA_6_0_HEXANOIC_ACID_G_US 0.6 No specific
recommendation
SFA_8_0_OCTANOIC_ACID_G_US 0.6 No specific
recommendation
SFA_10_0_DECANOIC_ACID_G_U 0.8 No specific
recommendation
SFA_12_0_DODECANOIC_ACID_G 1.0 No specific
recommendation
SFA_14_0_TETRADECANOIC_ACI 3.5 No specific
recommendation
SFA_16_0_HEXADECANOIC_ACID 14.0 No specific
recommendation
SFA_18_0_OCTADECANOIC_ACID 5.9 No specific
recommendation
MFA_16_1_HEXADECENOIC_ACID 0.7 No specific
recommendation
MFA_18_1_OCTADECENOIC_ACID 25.0 No specific
recommendation
MFA_20_1_EICOSENOIC_ACID_G 0.2 No specific
recommendation
MFA_22_1_DOCOSENOIC_ACID_G 0.0 No specific
recommendation
PFA_18_2_OCTADECADIENOIC_A 11.0 No specific
recommendation
PFA_18_3_OCTADECATRIENOIC_ 1.2 No specific
recommendation
PFA_18_4_OCTADECATETRAENOI 0.0 No specific
recommendation
PFA_20_4_EICOSATETRAENOIC_ 0.0 No specific
recommendation
PFA_20_5_EICOSAPENTAENOIC_ 0.0 No specific
recommendation
8. PFA_22_5_DOCOSAPENTAENOIC_ 0.0 No specific
recommendation
PFA_22_6_DOCOSAHEXAENOIC_A 0.0 No specific
recommendation
CAFFEINE_MG_USDA 40.8 No specific
recommendation
BETA_CAROTENE_MCG_USDA 2454 No specific
recommendation
ALPHA_CAROTENE_MCG_USDA 620 No specific
recommendation
BETA_CRYPTOXANTHIN_MCG_USD 231 No specific
recommendation
LUTEIN_ZEAXANTHIN_MCG_USDA 980 No specific
recommendation
LYCOPENE_MCG_USDA 5108 No specific
recommendation
FOLATE_DFE_MCG_USDA 641 No specific
recommendation
FOOD_FOLATE_MCG_USDA 223 No specific
recommendation
FOLIC_ACID_MCG_USDA 246 No specific
recommendation
VITAMIN_A_RAE_MCG_USDA 695 Men, 19+ yr: 900
Women, 19+ yr: 700
TOTAL_SUGARS_G_USDA 108 No specific
recommendation
MPED_GRAIN_TOTAL_USDA 3.3 No specific
recommendation
MPED_GRAIN_WHL_USDA 0.5 No specific
recommendation
MPED_GRAIN_NWHL_USDA 2.7 No specific
recommendation
MPED_VEGETABLE_TOTAL_USDA 0.9 No specific
recommendation
MPED_VEGETABLE_DRKGR_USDA 0.0 No specific
recommendation
MPED_VEGETABLE_DPYEL_USDA 0.1 No specific
recommendation
MPED_VEGETABLE_POTATO_USDA 0.1 No specific
recommendation
MPED_VEGETABLE_STARCY_USDA 0.0 No specific
recommendation
MPED_VEGETABLE_TOMATO_USDA 0.2 No specific
recommendation
MPED_VEGETABLE_OTHER_USDA 0.3 No specific
recommendation
MPED_FRUIT_TOTAL_USDA 1.6 No specific
recommendation
MPED_FRUIT_CITMLB_USDA 1.0 No specific
recommendation
MPED_FRUIT_OTHER_USDA 0.5 No specific
recommendation
9. MPED_DAIRY_TOTAL_USDA 3.2 No specific
recommendation
MPED_DAIRY_MILK_USDA 2.3 No specific
recommendation
MPED_DAIRY_YOGURT_USDA 0.3 No specific
recommendation
MPED_DAIRY_CHEESE_USDA 0.5 No specific
recommendation
MPED_M_MPF_USDA 1.4 No specific
recommendation
MPED_M_MEAT_USDA 0.5 No specific
recommendation
MPED_M_ORGAN_USDA 0.0 No specific
recommendation
MPED_M_FRANK_USDA 0.2 No specific
recommendation
MPED_M_POULT_USDA 0.3 No specific
recommendation
MPED_M_FISH_HI_USDA 0.1 No specific
recommendation
MPED_M_FISH_LO_USDA 0.2 No specific
recommendation
MPED_M_EGG_USDA 0.1 No specific
recommendation
MPED_M_SOY_USDA 0.0 No specific
recommendation
MPED_M_NUTSD_USDA 2.2 No specific
recommendation
MPED_LEGUMES_USDA 0.0 No specific
recommendation
MPED_DISCFAT_OIL_USDA 16.9 No specific
recommendation
MPED_DISCFAT_SOL_USDA 42.8 No specific
recommendation
MPED_ADD_SUG_USDA 8.7 No specific
recommendation
MPED_A_BEV_USDA 1.2 No specific
recommendation
TOTAL_PROTEIN_G_NDSR 65.4 No specific
recommendation
ANIMAL_PROTEIN_G_NDSR 41.7 No specific
recommendation
VEGETABLE_PROTEIN_G_NDSR 23.6 No specific
recommendation
FRUCTOSE_G_NDSR 17.6 No specific
recommendation
GALACTOSE_G_NDSR 0.9 No specific
recommendation
GLUCOSE_G_NDSR 17.8 No specific
recommendation
LACTOSE_G_NDSR 31.1 No specific
recommendation
10. MALTOSE_G_NDSR 2.3 No specific
recommendation
SUCROSE_G_NDSR 32.6 No specific
recommendation
STARCH_G_NDSR 65.5 No specific
recommendation
TOTAL_DIETARY_FIBER_G_NDSR 15.9 No specific
recommendation
SOLUBLE_DIETARY_FIBER_G_ND 3.7 No specific
recommendation
INSOLUBLE_DIETARY_FIBER_G_ 12.1 No specific
recommendation
TOTAL_VITAMIN_A_ACTIVITY_I 6664 No specific
recommendation
BETA_CAROTENE_EQUIVALENTS_ 3001 No specific
recommendation
VITAMIN_D_CALCIFEROL_MCG_N 7.4 No specific
recommendation
TOTAL_ALPHA_TOCOPHEROL_EQU 9.2 No specific
recommendation
BETA_TOCOPHEROL_MG_NDSR 0.5 No specific
recommendation
GAMMA_TOCOPHEROL_MG_NDSR 8.7 No specific
recommendation
DELTA_TOCOPHEROL_MG_NDSR 1.4 No specific
recommendation
PANTOTHENIC_ACID_MG_NDSR 5.3 No specific
recommendation
SFA_17_0_MARGARIC_ACID_G_N 0.0 No specific
recommendation
SFA_20_0_ARACHIDIC_ACID_G_ 0.1 No specific
recommendation
SFA_22_0_BEHENIC_ACID_G_ND 0.3 No specific
recommendation
MUFA_14_1_MYRISTOLEIC_ACID 0.0 No specific
recommendation
TRYPTOPHAN_G_NDSR 0.9 No specific
recommendation
THREONINE_G_NDSR 2.4 No specific
recommendation
ISOLEUCINE_G_NDSR 2.9 No specific
recommendation
LEUCINE_G_NDSR 5.0 No specific
recommendation
LYSINE_G_NDSR 3.5 No specific
recommendation
METHIONINE_G_NDSR 1.3 No specific
recommendation
CYSTINE_G_NDSR 0.7 No specific
recommendation
PHENYLALANINE_G_NDSR 2.9 No specific
recommendation
11. TYROSINE_G_NDSR 2.4 No specific
recommendation
VALINE_G_NDSR 3.4 No specific
recommendation
ARGININE_G_NDSR 3.2 No specific
recommendation
HISTIDINE_G_NDSR 1.6 No specific
recommendation
ALANINE_G_NDSR 2.6 No specific
recommendation
ASPARTIC_ACID_G_NDSR 5.4 No specific
recommendation
GLUTAMIC_ACID_G_NDSR 13.5 No specific
recommendation
GLYCINE_G_NDSR 2.3 No specific
recommendation
PROLINE_G_NDSR 5.3 No specific
recommendation
SERINE_G_NDSR 2.8 No specific
recommendation
ASPARTAME_MG_NDSR 6.3 No specific
recommendation
SACCHARIN_MG_NDSR 0.0 No specific
recommendation
PHYTIC_ACID_MG_NDSR 661 No specific
recommendation
OXALIC_ACID_MG_NDSR 156 No specific
recommendation
METHYLHISTIDINE_MG_NDSR 5.4 No specific
recommendation
SUCROSE_POLYESTER_G_NDSR 0.0 No specific
recommendation
ASH_G_NDSR 15.2 No specific
recommendation
WATER_G_NDSR 2544 No specific
recommendation
TOTAL_VITAMIN_A_ACTIVITY_M 997 No specific
recommendation
TRANS_18_1_TRANS_OCTADECEN 2.3 No specific
recommendation
TRANS_18_2_TRANS_OCTADECAD 0.4 No specific
recommendation
TRANS_16_1_TRANS_HEXADECEN 0.0 No specific
recommendation
TOTAL_TRANS_FATTY_ACIDS_TR 3.0 No specific
recommendation
NIACIN_EQUIVALENTS_MG_NDSR 35.2 No specific
recommendation
OMEGA_3_FATTY_ACIDS_G_NDSR 1.3 No specific
recommendation
MANGANESE_MG_NDSR 3.2 No specific
recommendation
12. VITAMIN_E_IU_NDSR 11.5 No specific
recommendation
NATURAL_ALPHA_TOCOPHEROL_M 6.8 No specific
recommendation
SYNTHETIC_ALPHA_TOCOPHEROL 1.3 No specific
recommendation
DAIDZEIN_MG_NDSR 0.5 No specific
recommendation
GENISTEIN_MG_NDSR 0.8 No specific
recommendation
GLYCITEIN_MG_NDSR 0.1 No specific
recommendation
COUMESTROL_MG_NDSR 0.1 No specific
recommendation
BIOCHANIN_A_MG_NDSR 0.0 No specific
recommendation
FORMONONETIN_MG_NDSR 0.0 No specific
recommendation
ACESULFAME_POTASSIUM_MG_ND 0.0 No specific
recommendation
SUCRALOSE_MG_NDSR 0.0 No specific
recommendation
AVAILABLE_CARBOHYDRATE_G_N 186 No specific
recommendation
GLYCEMIC_LOAD_GLUCOSE_REFE 92.2 No specific
recommendation
GLYCEMIC_LOAD_BREAD_REFERE 131 No specific
recommendation
CHOLINE_MG_NDSR 270 No specific
recommendation
BETAINE_MG_NDSR 172 No specific
recommendation
ERYTHRITOL_G_NDSR 0.0 No specific
recommendation
INOSITOL_G_NDSR 0.3 No specific
recommendation
LACTITOL_G_NDSR 0.0 No specific
recommendation
MALTITOL_G_NDSR 0.0 No specific
recommendation
MANNITOL_G_NDSR 0.1 No specific
recommendation
PINITOL_G_NDSR 0.0 No specific
recommendation
SORBITOL_G_NDSR 0.5 No specific
recommendation
XYLITOL_G_NDSR 0.0 No specific
recommendation
NITROGEN_G_NDSR 10.7 No specific
recommendation
13. Your percentage of energy (calories) from protein, carbohydrate, and
fat
Nutrient Your Daily Intake Recommended Intake
______________________________________________________________________
___________
%Energy from CARBOHYDRATE_ 44.4 45-65%
%Energy from PROTEIN_G_USD 14.5 10-35%
%Energy from ALCOHOL_G_USD 6.5 No specific
recommendation
%Energy from TOTAL_SATURAT 14.4 No specific
recommendation
%Energy from TOTAL_MONOUNS 13.3 No specific
recommendation
Your servings of food groups (based on the food guide pyramid serving
sizes)
Food Group Your Daily Intake Recommended Intake
______________________________________________________________________
___________
GRAMWT_G_USDA 2909 No specific
recommendation
ENERGY_KCAL_USDA 1784 No specific
recommendation
TOTAL_FAT_G_USDA 73.8 No specific
recommendation
CARBOHYDRATE_G_USDA 198 No specific
recommendation
PROTEIN_G_USDA 64.8 No specific
recommendation
ALCOHOL_G_USDA 16.6 No specific
recommendation
CHOLESTEROL_MG_USDA 187 No specific
recommendation
TOTAL_SATURATED_FATTY_ACID 28.5 No specific
recommendation
TOTAL_MONOUNSATURATED_FATT 26.4 No specific
recommendation
TOTAL_POLYUNSATURATED_FATT 12.5 No specific
recommendation
DIETARY_FIBER_G_USDA 15.8 No specific
recommendation
RETINOL_MCG_USDA 456 No specific
recommendation
VITAMIN_E_AS_ALPHA_TOCOPHE 7.8 No specific
recommendation
VITAMIN_K_MCG_USDA 56.8 No specific
recommendation
VITAMIN_C_MG_USDA 126 No specific
recommendation
14. THIAMIN_VITAMIN_B1_MG_USDA 1.4 No specific
recommendation
RIBOFLAVIN_VITAMIN_B2_MG_U 2.5 No specific
recommendation
NIACIN_MG_USDA 20.6 No specific
recommendation
VITAMIN_B6_MG_USDA 2.2 No specific
recommendation
TOTAL_FOLATE_MCG_USDA 469 No specific
recommendation
VITAMIN_B12_MCG_USDA 6.6 No specific
recommendation
CALCIUM_MG_USDA 1270 No specific
recommendation
PHOSPHORUS_MG_USDA 1407 No specific
recommendation
MAGNESIUM_MG_USDA 320 No specific
recommendation
IRON_MG_USDA 13.5 No specific
recommendation
ZINC_MG_USDA 11.2 No specific
recommendation
COPPER_MG_USDA 1.2 No specific
recommendation
SELENIUM_MCG_USDA 93.7 No specific
recommendation
SODIUM_MG_USDA 1987 No specific
recommendation
POTASSIUM_MG_USDA 2819 No specific
recommendation
SFA_4_0_BUTANOIC_ACID_G_US 0.9 No specific
recommendation
SFA_6_0_HEXANOIC_ACID_G_US 0.6 No specific
recommendation
SFA_8_0_OCTANOIC_ACID_G_US 0.6 No specific
recommendation
SFA_10_0_DECANOIC_ACID_G_U 0.8 No specific
recommendation
SFA_12_0_DODECANOIC_ACID_G 1.0 No specific
recommendation
SFA_14_0_TETRADECANOIC_ACI 3.5 No specific
recommendation
SFA_16_0_HEXADECANOIC_ACID 14.0 No specific
recommendation
SFA_18_0_OCTADECANOIC_ACID 5.9 No specific
recommendation
MFA_16_1_HEXADECENOIC_ACID 0.7 No specific
recommendation
MFA_18_1_OCTADECENOIC_ACID 25.0 No specific
recommendation
MFA_20_1_EICOSENOIC_ACID_G 0.2 No specific
recommendation
15. MFA_22_1_DOCOSENOIC_ACID_G 0.0 No specific
recommendation
PFA_18_2_OCTADECADIENOIC_A 11.0 No specific
recommendation
PFA_18_3_OCTADECATRIENOIC_ 1.2 No specific
recommendation
PFA_18_4_OCTADECATETRAENOI 0.0 No specific
recommendation
PFA_20_4_EICOSATETRAENOIC_ 0.0 No specific
recommendation
PFA_20_5_EICOSAPENTAENOIC_ 0.0 No specific
recommendation
PFA_22_5_DOCOSAPENTAENOIC_ 0.0 No specific
recommendation
PFA_22_6_DOCOSAHEXAENOIC_A 0.0 No specific
recommendation
CAFFEINE_MG_USDA 40.8 No specific
recommendation
BETA_CAROTENE_MCG_USDA 2454 No specific
recommendation
ALPHA_CAROTENE_MCG_USDA 620 No specific
recommendation
BETA_CRYPTOXANTHIN_MCG_USD 231 No specific
recommendation
LUTEIN_ZEAXANTHIN_MCG_USDA 980 No specific
recommendation
LYCOPENE_MCG_USDA 5108 No specific
recommendation
FOLATE_DFE_MCG_USDA 641 No specific
recommendation
FOOD_FOLATE_MCG_USDA 223 No specific
recommendation
FOLIC_ACID_MCG_USDA 246 No specific
recommendation
VITAMIN_A_RAE_MCG_USDA 695 No specific
recommendation
TOTAL_SUGARS_G_USDA 108 No specific
recommendation
MPED_GRAIN_TOTAL_USDA 3.3 3-10 ounce equivalents
MPED_GRAIN_WHL_USDA 0.5 to equal half of total
grain ounce equivalents
MPED_GRAIN_NWHL_USDA 2.7 No specific
recommendation
MPED_VEGETABLE_TOTAL_USDA 0.9 1-4 cup equivalents
MPED_VEGETABLE_DRKGR_USDA 0.0 No specific
recommendation
MPED_VEGETABLE_DPYEL_USDA 0.1 No specific
recommendation
MPED_VEGETABLE_POTATO_USDA 0.1 No specific
recommendation
MPED_VEGETABLE_STARCY_USDA 0.0 No specific
recommendation
16. MPED_VEGETABLE_TOMATO_USDA 0.2 No specific
recommendation
MPED_VEGETABLE_OTHER_USDA 0.3 No specific
recommendation
MPED_FRUIT_TOTAL_USDA 1.6 1-2½ cup equivalents
MPED_FRUIT_CITMLB_USDA 1.0 No specific
recommendation
MPED_FRUIT_OTHER_USDA 0.5 No specific
recommendation
MPED_DAIRY_TOTAL_USDA 3.2 2-3 cup equivalents
MPED_DAIRY_MILK_USDA 2.3 No specific
recommendation
MPED_DAIRY_YOGURT_USDA 0.3 No specific
recommendation
MPED_DAIRY_CHEESE_USDA 0.5 No specific
recommendation
MPED_M_MPF_USDA 1.4 2-7 ounce equivalents
MPED_M_MEAT_USDA 0.5 No specific
recommendation
MPED_M_ORGAN_USDA 0.0 No specific
recommendation
MPED_M_FRANK_USDA 0.2 No specific
recommendation
MPED_M_POULT_USDA 0.3 No specific
recommendation
MPED_M_FISH_HI_USDA 0.1 No specific
recommendation
MPED_M_FISH_LO_USDA 0.2 No specific
recommendation
MPED_M_EGG_USDA 0.1 No specific
recommendation
MPED_M_SOY_USDA 0.0 No specific
recommendation
MPED_M_NUTSD_USDA 2.2 No specific
recommendation
MPED_LEGUMES_USDA 0.0 No specific
recommendation
MPED_DISCFAT_OIL_USDA 16.9 No specific
recommendation
MPED_DISCFAT_SOL_USDA 42.8 No specific
recommendation
MPED_ADD_SUG_USDA 8.7 Limit to no more than 25%
of total calories
MPED_A_BEV_USDA 1.2 No specific
recommendation
TOTAL_PROTEIN_G_NDSR 65.4 No specific
recommendation
ANIMAL_PROTEIN_G_NDSR 41.7 No specific
recommendation
VEGETABLE_PROTEIN_G_NDSR 23.6 No specific
recommendation
17. FRUCTOSE_G_NDSR 17.6 No specific
recommendation
GALACTOSE_G_NDSR 0.9 No specific
recommendation
GLUCOSE_G_NDSR 17.8 No specific
recommendation
LACTOSE_G_NDSR 31.1 No specific
recommendation
MALTOSE_G_NDSR 2.3 No specific
recommendation
SUCROSE_G_NDSR 32.6 No specific
recommendation
STARCH_G_NDSR 65.5 No specific
recommendation
TOTAL_DIETARY_FIBER_G_NDSR 15.9 No specific
recommendation
SOLUBLE_DIETARY_FIBER_G_ND 3.7 No specific
recommendation
INSOLUBLE_DIETARY_FIBER_G_ 12.1 No specific
recommendation
TOTAL_VITAMIN_A_ACTIVITY_I 6664 No specific
recommendation
BETA_CAROTENE_EQUIVALENTS_ 3001 No specific
recommendation
VITAMIN_D_CALCIFEROL_MCG_N 7.4 No specific
recommendation
TOTAL_ALPHA_TOCOPHEROL_EQU 9.2 No specific
recommendation
BETA_TOCOPHEROL_MG_NDSR 0.5 No specific
recommendation
GAMMA_TOCOPHEROL_MG_NDSR 8.7 No specific
recommendation
DELTA_TOCOPHEROL_MG_NDSR 1.4 No specific
recommendation
PANTOTHENIC_ACID_MG_NDSR 5.3 No specific
recommendation
SFA_17_0_MARGARIC_ACID_G_N 0.0 No specific
recommendation
SFA_20_0_ARACHIDIC_ACID_G_ 0.1 No specific
recommendation
SFA_22_0_BEHENIC_ACID_G_ND 0.3 No specific
recommendation
MUFA_14_1_MYRISTOLEIC_ACID 0.0 No specific
recommendation
TRYPTOPHAN_G_NDSR 0.9 No specific
recommendation
THREONINE_G_NDSR 2.4 No specific
recommendation
ISOLEUCINE_G_NDSR 2.9 No specific
recommendation
LEUCINE_G_NDSR 5.0 No specific
recommendation
18. LYSINE_G_NDSR 3.5 No specific
recommendation
METHIONINE_G_NDSR 1.3 No specific
recommendation
CYSTINE_G_NDSR 0.7 No specific
recommendation
PHENYLALANINE_G_NDSR 2.9 No specific
recommendation
TYROSINE_G_NDSR 2.4 No specific
recommendation
VALINE_G_NDSR 3.4 No specific
recommendation
ARGININE_G_NDSR 3.2 No specific
recommendation
HISTIDINE_G_NDSR 1.6 No specific
recommendation
ALANINE_G_NDSR 2.6 No specific
recommendation
ASPARTIC_ACID_G_NDSR 5.4 No specific
recommendation
GLUTAMIC_ACID_G_NDSR 13.5 No specific
recommendation
GLYCINE_G_NDSR 2.3 No specific
recommendation
PROLINE_G_NDSR 5.3 No specific
recommendation
SERINE_G_NDSR 2.8 No specific
recommendation
ASPARTAME_MG_NDSR 6.3 No specific
recommendation
SACCHARIN_MG_NDSR 0.0 No specific
recommendation
PHYTIC_ACID_MG_NDSR 661 No specific
recommendation
OXALIC_ACID_MG_NDSR 156 No specific
recommendation
METHYLHISTIDINE_MG_NDSR 5.4 No specific
recommendation
SUCROSE_POLYESTER_G_NDSR 0.0 No specific
recommendation
ASH_G_NDSR 15.2 No specific
recommendation
WATER_G_NDSR 2544 No specific
recommendation
TOTAL_VITAMIN_A_ACTIVITY_M 997 No specific
recommendation
TRANS_18_1_TRANS_OCTADECEN 2.3 No specific
recommendation
TRANS_18_2_TRANS_OCTADECAD 0.4 No specific
recommendation
TRANS_16_1_TRANS_HEXADECEN 0.0 No specific
recommendation
19. TOTAL_TRANS_FATTY_ACIDS_TR 3.0 No specific
recommendation
NIACIN_EQUIVALENTS_MG_NDSR 35.2 No specific
recommendation
OMEGA_3_FATTY_ACIDS_G_NDSR 1.3 No specific
recommendation
MANGANESE_MG_NDSR 3.2 No specific
recommendation
VITAMIN_E_IU_NDSR 11.5 No specific
recommendation
NATURAL_ALPHA_TOCOPHEROL_M 6.8 No specific
recommendation
SYNTHETIC_ALPHA_TOCOPHEROL 1.3 No specific
recommendation
DAIDZEIN_MG_NDSR 0.5 No specific
recommendation
GENISTEIN_MG_NDSR 0.8 No specific
recommendation
GLYCITEIN_MG_NDSR 0.1 No specific
recommendation
COUMESTROL_MG_NDSR 0.1 No specific
recommendation
BIOCHANIN_A_MG_NDSR 0.0 No specific
recommendation
FORMONONETIN_MG_NDSR 0.0 No specific
recommendation
ACESULFAME_POTASSIUM_MG_ND 0.0 No specific
recommendation
SUCRALOSE_MG_NDSR 0.0 No specific
recommendation
AVAILABLE_CARBOHYDRATE_G_N 186 No specific
recommendation
GLYCEMIC_LOAD_GLUCOSE_REFE 92.2 No specific
recommendation
GLYCEMIC_LOAD_BREAD_REFERE 131 No specific
recommendation
CHOLINE_MG_NDSR 270 No specific
recommendation
BETAINE_MG_NDSR 172 No specific
recommendation
ERYTHRITOL_G_NDSR 0.0 No specific
recommendation
INOSITOL_G_NDSR 0.3 No specific
recommendation
LACTITOL_G_NDSR 0.0 No specific
recommendation
MALTITOL_G_NDSR 0.0 No specific
recommendation
MANNITOL_G_NDSR 0.1 No specific
recommendation
PINITOL_G_NDSR 0.0 No specific
recommendation
20. SORBITOL_G_NDSR 0.5 No specific
recommendation
XYLITOL_G_NDSR 0.0 No specific
recommendation
NITROGEN_G_NDSR 10.7 No specific
recommendation