| Course | NR 228 Nutrition, Health & Wellness |
|---|---|
| Week | 2 |
| Paper type | Diet analysis paper |
| Length | About 1,100 words, 3 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | BSN (pre-licensure) |
| Updated | October 2026 |
Free sample paper for NR 228 Week 2
Diet Analysis: Three Days of a 22-Year-Old Nursing Student Who Waits Tables on Weekends, Read for the Pattern Rather Than the Rows
Student Name
College of Nursing, Chamberlain University
NR 228: Nutrition, Health & Wellness
Instructor Name
Month Day, Year
Diet Analysis: Three Days of a 22-Year-Old Nursing Student Who Waits Tables on Weekends, Read for the Pattern Rather Than the Rows
The Record, Written While Eating
I kept this record on Thursday, Friday and Saturday, September 17 to 19, 2026, writing each entry in my phone's notes app within a few minutes of eating, with the time and an amount. I am 22, female, 165 centimeters and 61 kilograms, a full-time nursing student, and I wait tables at a restaurant on Friday and Saturday evenings from 1630 to 2330. Amounts were measured with a measuring cup when I ate at home and estimated by the width of my palm or the package label when I did not. I left in everything, including the handful of fries from the kitchen window at 2100 on Saturday, because a record tidied up would not show how I actually eat.
Table 1
Three-Day Food Record, September 17 to 19, 2026
| Day and time | What and how much |
|---|---|
| Thu 0730 | Coffee, 16 oz, with 2 tbsp flavored creamer |
| Thu 1215 | Turkey sandwich on white bread (2 slices, 3 oz turkey, 1 slice cheese, mayonnaise); 1 small bag chips (1 oz); diet soda 20 oz |
| Thu 1600 | Granola bar (1) |
| Thu 1930 | Spaghetti, 2 cups cooked, with 1 cup jarred marinara; side salad, 1 cup lettuce, 2 tbsp ranch |
| Thu 2230 | Microwave popcorn, 1 bag (about 6 cups popped) |
| Fri 1030 | Coffee, 16 oz, creamer; banana (1 medium) |
| Fri 1300 | Leftover spaghetti, 1.5 cups |
| Fri 1600 | Staff meal at work: chicken quesadilla, half (about 2 wedges), sour cream 2 tbsp |
| Fri 2345 | Chicken tenders (3) and fries (about 1 cup) at home after shift; water 16 oz |
| Sat 1100 | Coffee, 16 oz, creamer; scrambled eggs (2) with toast (1 slice, butter) |
| Sat 1600 | Staff meal: cheeseburger (1), fries (about 1 cup) |
| Sat 2100 | Fries from the kitchen window, a handful (about half a cup) |
| Sat 2345 | Bowl of cereal, 1.5 cups, with 1 cup 2% milk |
Note. Water is recorded only where I drank it with a meal; I did not track water drunk at work.
Amounts a Tool Can Accept
I entered each item into the course's diet analysis tool using the closest match and the amount I recorded. Where the tool asked for grams and I had written a palm width or a handful, I used the tool's standard portion and noted it. The tool estimated my average intake over the three days at about 2,050 kcal a day, 13 grams of fiber a day and about 3,700 mg of sodium a day. Those numbers are estimates built on estimates, and I read them as a direction, not a measurement.
Reading a Pattern, Not a Row
Three patterns repeat across the days. The first is timing. On two of three days I ate nothing but coffee before noon, and on both work days I ate my largest meal at 2345, after the shift. The second is where the food came from. On the two work days, more than half of what I ate came from the restaurant's kitchen: the staff meal at 1600 and fries during the shift. The third is what is missing. Across nine meals and snacks, vegetables appeared once, as a cup of lettuce, and fruit once, as a banana.
Two numbers put those patterns in context. The Institute of Medicine's adequate intake for fiber is 14 grams per 1,000 kcal (Institute of Medicine, 2005), which at my intake would be about 29 grams a day; I averaged 13, less than half. And the National Academies' Chronic Disease Risk Reduction Intake for sodium is 2,300 mg a day (National Academies of Sciences, Engineering, and Medicine [NASEM], 2019); my estimated 3,700 mg is well above it, with most of the excess on the two work days, from fries, the quesadilla and the chicken tenders.
The two numbers point at the same pattern. The foods that raise my sodium are the same foods that replace the fruit and vegetables that would raise my fiber. It is not that I eat badly all the time; it is that on work days, the restaurant's food fills the space where anything else would go.
There is also a pattern in what I drank. Coffee with flavored creamer appeared every morning, and a 20-ounce diet soda on Thursday, but water appears only twice in the record. I work a seven-hour shift on my feet in a warm kitchen, so I suspect I drink more at work than I wrote down; I did not track it, which is itself a gap in the record. It is worth noting because thirst late in a shift may be part of why the fries at the kitchen window are hard to resist.
The One Change
The change is specific to the pattern. On work days, I will eat a real meal at home at 1500 before I leave, one I can make in ten minutes: a bowl of microwaved frozen mixed vegetables with a cup of leftover rice or pasta and an egg or a can of beans, and a piece of fruit to take with me. If I arrive at work fed, I expect to eat less of the staff meal and fewer fries during the shift, and the late meal at 2345 can be something small, like cereal and milk, which on Saturday was actually my best choice of the three days. I will check this by repeating the three-day record on the first weekend in October and comparing the tool's fiber and sodium estimates.
What a Short Record Cannot Show
Three days is a small sample, and these three days included two work days and no Sunday or Monday, when I eat at home with my roommate and cook more. The record may therefore overstate the weekend pattern and understate how I eat in the rest of the week. Self-recorded food is also known to be underreported, especially snacks, and I may have missed a few handfuls of fries or a second coffee at work. Finally, the tool's sodium figures depend heavily on which restaurant items it matched; the restaurant's own recipes may contain more or less. None of these limits changes the pattern, which is visible even with generous error, but they are the reason the analysis names a pattern and one change instead of a precise deficit.
References
Institute of Medicine. (2005). Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. The National Academies Press. https://doi.org/10.17226/10490
National Academies of Sciences, Engineering, and Medicine. (2019). Dietary reference intakes for sodium and potassium. The National Academies Press. https://doi.org/10.17226/25353
The Chamberlain NR 228 Week 2 instructions
For Week 2 you keep a food record for a set number of days, usually three, enter it into the diet analysis tool your course provides and write an analysis. Expect the instructions to ask for the record, the tool's output, a comparison with recommendations, an interpretation and a goal, in an APA paper with sources. Record honestly as you eat, with times and amounts, because the interpretation is the graded part and a cleaned-up week leaves nothing to interpret. State the tool settings and how you handled portions. Choose one change that follows from the pattern rather than several at once. Note anything that made the days unusual, such as illness or a holiday.
How this NR 228 Week 2 example is built
The analysis opens by explaining how the record was kept: phone notes within minutes of eating, with times and amounts, for September 17 to 19. A table lists every entry, from 16 ounces of coffee with creamer to the 2345 meal after a shift. A section explains how palm-sized portions were converted. Three patterns follow: nothing but coffee before noon, restaurant food on work days and almost no water. Two numbers frame them: fiber at 13 grams against an adequate intake near 29, and sodium well above the 2019 reference. The single change is a ten-minute meal at 1500 before work. The last section admits that three days skewed toward work days.
Reading the NR 228 Week 2 grading rubric
Diet analysis rubrics typically grade the completeness of the record, accurate use of the tool, comparison with standards, interpretation, a realistic goal and APA. Interpretation carries the most weight, so the sample names patterns that repeat across days instead of describing each row. Completeness depends on amounts and times, which is why every entry has both. Comparison with standards earns credit when the right reference for age and sex is cited, as the fiber and sodium figures are. The goal row rewards one change tied to the pattern. Naming the limits of a short record shows the critical thinking many sections score. A readable table and correct references complete the grade.
NR 228 Week 2 help: mistakes that cost points
The heaviest loss comes from a record that has been cleaned, which leaves nothing to interpret. Missing amounts let the software invent portions. An unusual week presented without comment misleads the reader. Describing the output row by row without choosing anything, recommending changes to four nutrients at once, leaving tool settings unstated and estimating portions from memory all cost points. A reflection that only says the exercise was eye-opening adds nothing. If your three days look bad, hand them in honestly; that gives the most to analyze. Send your record and the tool's output, and an NR 228 analysis can be written around the pattern your days show.
Get a NR 228 Week 2 example written to your instructions
Your own three days stay with you: the record and whatever the analysis tool prints from it come out of your kitchen, and nobody else can supply them honestly. Send the instructions, the rubric and the figures your tool gave you, and a custom example is written around them and returned inside 24 to 48 hours, the first one free.
More NR 228 papers and pre-licensure samples
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NR 228 Week 2 questions, answered
My three days look terrible. Do I have to hand that in?
The awkward record is the useful one. An analysis needs something to explain, and a week with two missed breakfasts and a late bag of chips hands you a pattern, a cause and a change worth arguing for. A flawless week leaves you writing about how well it all went, which is a short paper with nowhere left to go.
What if the analysis tool gives figures I do not believe?
Say so, in the paper. Software estimates from a database and a portion you typed, so a wildly high number often traces back to one entry, a cup that should have been half a cup, or a brand the database did not hold. Naming the suspect entry and saying which way it skews the result reads as competence rather than as an excuse.
Does the reflection matter, or is it padding?
It carries points in most classrooms and is often the part read first. Keep it to two or three specifics rather than general gratitude: the food you underestimated, the nutrient you assumed you were fine on, and the one change you have actually kept since the record ended. Broad appreciation of the exercise reads thin at any length.
Where can I find a free NR 228 Week 2 sample paper?
The complete Week 2 diet analysis, with the three-day record table, the three patterns, the fiber and sodium comparison and the one change, is reproduced on this page.
What pattern does the NR 228 Week 2 analysis find?
On work days the writer ate only coffee before noon and a large restaurant meal at 2345, so the same foods raised sodium and crowded out the fruit and vegetables that supply fiber.