Eating Accuracy Assessment

I would like to start this paper by stating that I have been on a low calorie diet for the past 3 weeks so if my foods seem like they are similar daily this is the reason why. I usually have a pretty healthy diet because nutrition is very important to me and for my children. I try to make sure that my children eat as healthy as possible and get the physical activity that need on a daily basis. In my assessment through Fitday.com my current diet consist of the foods that I have

Compared to the Table 2.7, I consumed foods from every food group this day. I didn’t have any groups missing, but I did consume less than the recommended value in milk, protein, grains, and oils. On the other hand, I ate approximately the recommended daily values of fruits and veggies. The quality of food

My data could be more accurate if I had used only one source for food data, and find the exact measurements for what I ate. Also, my record of fruits and vegetables may not have been accurate because I do not usually eat them alone, so they may have been in my food and I did not take account of them. On the third day, I ate Jack in the Box the whole day, which is a rare event to occur in my diet. On the weekends I am less active, but

In this report it will be analyzing my personal diet. I analyzed myself over a 3 day period. During this period, I analyzed my eating habits on national holidays versus my day to day life. I am a 20 year old female (not pregnant or lactating) I estimate my weight to be 195 lbs. and my height is 5 foot 6 inches. My daily activity level is sedentary. My job is as a leasing professional and in that profession there is some foot traffic but not much. There is also limited heavy lifting. Out of work I participate in limited physical activity. I rock climb on some occasions and attend the gym occasionally. My personal goals currently is to stay healthy. As I lessen my work load I would like to increase my physical activity with strength training and cardio. Pertaining to my nutrition within the 3 days due to their being a holiday I ate more meat than usual. I try to add more vegetables to my diet. Fruit are not often added to my meals due to how quickly they decompose. I eat mostly organic products and limited dairy. I try to avoid bread and pasta and use vegetables as substitute in recipes that require them.

For this three day diet analysis project I wanted to eat as I normally would and be honest about all that I ate, to analyze not only what and how much I was eating, but also to see how healthy my diet really is. By doing so I can see if any of my diet choices are putting me at risk for certain health diseases, and what changes can be made to make my diet healthier. After analyzing my diet, I would say I am fairly healthy, though I am out of the target range in a few areas. My profile calculated from my weight and height indicates that I have a BMI of 20.5. This is considered to be healthy; the healthy range is anywhere between 18.5-25. This was reassuring to hear because I am happy at my current weight, and

To sum things up I have added my weekly information as far as calorie percentage for eat meal of the day with breakfast 34% (526 Cal), lunch 34% (526 Cal), Dinner, 22% (341 Cal), Early Morning Snack 4% (62 Cal) and Mid-Day Snack 6% (93 Cal). Listed is the more detail list for week one, but on average I went over by 11% Carbohydrates, was under by 7% when it came to fat and under by 4% when it came to protein. When an assessment of my fitness and because I am in the Army I have to do fitness training at least 5 times per week. During our cardio days I would do thing like Sprints, Long distance running (three to four miles), elliptical, ruck march or the stationary bike. In return during strength days we would be things circuit

Writing down what you eat for three days shows you more about your diet then most would think. The paper, and 3 day diet diary we did was to help show us what we need to consume more of, less of, what we need to cut out of are diet, and lastly what we need to add to be a healthy individual. Wiley Plus was used to really show the breakdown of what we eat. I simply put what I wrote on paper into the Wiley food journal, wich furthermore puts everything into the catagories, and sections for you, wich was very helpful. I overall hoped my results would be decent, or average. The results I recieved were simply what I expected.

I was kind of surprised by the numbers because I have never studied my daily intakes before and they are showing that I eat a lot of carbohydrates. Macronutrients are relatively needed in large amounts. I had consumed a vast quantity of these nutrients during my three day period. For example, 21 water bottles along with the above mentioned proteins, carbohydrates and lipids.

For my analysis, I choose to track april seventh through april ninth. There was no particular reason why I picked these days over others, and on a whole they were relatively normal. However, it was at almost the end of spring break, and as I spent it with friends I found myself eating slightly unhealthier than usual. Using SuperTracker.gov, I set my calorie limit as a flexible 1,600 calorie intake that is recommended for a seventeen year old standing at five feet three inches, and weighing around a hundred and twenty pounds. My activity levels vary with my schedule, but on the whole I try to keep a steady exercise routine every few days. Counting calories is new for me, and as I tracked my calorie intake throughout those three days, I

His target for calories is 3,185 per day and he reached 1808 calories which was identified as under. According to the attached analysis, he consumed 122g of protein, 206 g of carbohydrates and 40 grams for fat which were all recognized as ok according to the analysis. For fruits and vegetables his status was considered under for both. For fruits the recommended amount was 2 ½ cups and he only consumed 2 cups and for vegetables the recommended amount was 4 cups and he only consumed 2 ½ cups. His fiber intake for that day was 18 g and the recommended amount was 38 g which was not adequate enough based on the recommendation.

This activity was performed over two days. In this lab I learned how to read labels better on food products. I also learned how challenging it is to keep track of everything you eat. After putting in the data on Monday I realized that my total of calories consumed were lower than they are supposed to be. My BMI number is 20.4. Having that as my BMI is why I need about 2,068 calories a day. On Monday I consumed 756 less calories then I should have. A few things I noticed about my data are; overeating carbs, under eating fiber, and under eating protein. My level of carbs 65 grams above what it should be. Both fiber and protein were under with fiber being 17 grams lower and protein being 6 grams lower. Now taking a look at my

For seven days, we both recorded how many calories we ate for every meal of the day, as well as how many carbohydrates, proteins, sugars, fats, and sodium amounts we had. We decided to analyze how many calories we had each day because the calories were quantities with high numbers, and there was a lot of variance throughout the days. This would provide data for an interesting graph. We also decided to analyze your percentage of sugar intake daily in relation to your weekly total intake. We thought this would be interesting to show because it not only compared your daily intake, but also showed how each day was different for both people. To add to that, analyzing the sugar intake showed that since our diets leaned on different kinds of food groups, we both

When looking at her health from a holistic perspective, BV meets and exceeds what is expected of a 73-year-old female. She is of a healthy weight range based on her BMI (18.8), never uses tobacco or alcohol, exercises regularly to prevent sarcopenia that affects many of her demographic, is happily married and living with her husband, and has no concerns about her nutrition and is satisfied with her current weight. BV recorded her food history for a 24-hour period and she was confident that this data is indicative of a normal day andtherefore it can be extrapolated to analyze her diet. She, like many other older adults, lives a happy life based on routine. She nearly always has three meals per day and many foods are eaten on an everyday basis (the handful of almonds and walnuts at breakfast, and pineapple, apple, and carrot juice at lunch). Upon computer analysis, I found ways that she could improve her diet which hopefully could translate to a better quality of life and disease prevention.

My current seven-day daily diet consists of engaging in one strawberry powder form Slim Fast shake for breakfast and lunch, and a five hundred calorie meal for dinner. My dinner meal usually consists of one serving of a vegetable, tilapia fish or boiled chicken breast, brown rice and a slice of ruby grapefruit. Slim fast powdered shakes contains two hundred calories merged with fat free Skim Milk. Furthermore, I nibble occasionally on Slim fast Peanut Butter Crunch Time Snack Bar containing one hundred calories per bar, bring the imposing over-all of a thousand calories a day. Within the week I keep a record of, I consumed seven

Although the investigation was able to provide more knowledge and understanding regarding the relationships between energy, activity levels and carbohydrate intake in order to contribute towards a solution to the problem of obesity, there were many limitations to this experiment that needed to be considered. For the personal data, the dietary observations collected over the two experimental days were not substantial to represent their lifestyle as a whole. Studies led by Burke et al., (2001) demonstrated that individuals can make inaccurate reports in various ways such as altering their dietary intake during period of recording, omitting or underestimating their intake and quantification errors of their consumption. As the group data was a collation of individual’s two-day dietary records, variability and inaccuracy increased considering the wide range of influences each individual may have been subjected to. There were 359 females and 195 males involved in the