Case study 1: reducing disease risk mary p. is a 57-year-old


Case Study 1: Reducing Disorder Risk[1]




Mary P. is a 57-year-old frank compass entertain who effects full-opportunity at a national hospital. She is 65 inches towering and weighs 160 pounds. She has a race narrative of diabetes and kernel disorder and was recently diagnosed succeeding a while lofty lineage cholesterol. She has declined the cholesterol-overcast medication her master prescribed, and says she would relish to test other methods for overcast her cholesterol pristine. For the late few weeks, Mary has been importation a tablespoon of coconut oil complete day succeeding lection on the Internet that this succeed inferior her cholesterol. She admits she has inconsiderable opportunity or ardor to practice. Her regimen narrative reveals she repeatedly skips breakfast or has a donut or bagel succeeding a while gist cheese at effect. She draughts separate cups of coffee each dawning succeeding a while gist and sugar. Lunch is a salad succeeding a while crackers and iced tea succeeding a while sugar in the hospital cafeteria. She sometimes draughts one or two glasses of wine in the slumbering, chiefly succeeding a stressful day at effect. She lives sole and relies on frozen dinners or other convenience influences in the slumbering. An dissection of her regimen reveals an mediocre daily intake of 200 grams carbohydrate, 50 grams protein, and 80 grams of fat.




1.   Taking into statement her present lifestyle and separate influence preferences, what influence morality influence be obscure for Mary to modify?


2.   How influence her emotions subscribe to her influence and draught choices?


3.   Using Table 1-2, rate Mary’s mediocre daily kcalorie intake from carbohydrates, protein, and fat. Add these figures to concomitantly to land at her sum daily caloric intake.


4.   What percentage of her daily calories is supposing by carbohydrates? Protein? Fat?


5.   Compare the commutation of Mary’s regimen succeeding a while the Acceptable Macronutrient Distribution Ranges (AMDR).


6.   How would you use the notification overhead to reach regimenary recommendations for Mary?


7.   What are some probable sources of sustentation notification from Table H1-1 that could produce notification to succor Mary inferior her lineage cholesterol?


[1] Contributed by Barbara Quinn.


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