High Cho Experiment

The biological value in whey protein enhances the body’s ability to absorb essential amino acids after resistance training decreasing the athlete’s recovery time. When athletes combine whey protein and creatine monohydrate they expect “a greater increase in lean tissue mass and muscular strength than supplementations with whey protein alone” (Burke, Chilibeck, Davison, Candow, Farthing, & Smith-Palmer 2001, p 350). Exogenous Cr supplementation increases the body’s Cr levels until saturation occurs. This saturation of Cr increases the PCK shuttle continuum allowing training intensity, volume, and duration of the exercise the athlete is performing to continue at a maximum rate. Any excess Cr in the blood is cleared through sweat, urination or renal filtration. Measurements in strength and peak torques of athletes supplementing with whey protein and creatine monohydrate (WC), whey protein (W), and a placebo (P) were taken. According to Burke et al, (2001) “repeated measure analysis of variance was used to assess changes in body composition, strength, and peak torque for the three groups (WC vs. W vs. P) across time” (p. 354). A twelve week strength training program was constructed and consisted of a “4-day split routine involving whole body musculature” (Burke et al, 2001. p 352). Subjects used detailed training logs to compare progress over the 12 week experiment. The end result from this experiment shows that subjects who “supplemented with both creatine and whey

The purpose of this lab was to see if following the HHS (Health and Human Services) (Morgan P.11) suggested diet would be healthier or a person which follows their own diet. This was measured by the Fitness index. The results in average of the Fitness Index in Table 1.3 (P. 15) showed that the Athletic got a fitness index of 72.3 and the Sedentary got a Fitness Index of 70.6. In Table 1.1 (p.13) it shows that a high average is around 65 FI to 79 FI. The average are fairly close to each other which is shown in Table 1.6 (p.19) this is a bar graph of the averages. These results came from the different groups doing the following the same procedure. Some trends that were noted in the average was that many people got a higher index in sedentary

To build muscles, you need protein. To build muscles, you must maintain a sufficient amount of protein. Your body alone does not produce enough protein and that's why we need to find other sources, such as a high protein diet or a protein supplement, to provide the protein our body needs. Proteins will create body heat and speed up your metabolism. As a result, protein affects your metabolism which is more than fat or carbohydrates. This explains why the muscle mass is stronger than the fat. Exercise will change the metabolism of a person's protein. The amount of exercise a person does is fully understood by any protein provided by his

Jackie’s diet is pretty much the same so l picked the last day. On the first day, she consumed 1374 calories out of 1600 calories depending on her target weight. She did not meet the daily requirement for carbohydrates being the largest class of nutrients, including sugars, starch, and fibers, that function as the body’s primary source of energy. Jackie’s carbohydrate intake was 140.9 grams out of the 300 grams needed, which was 321.9 calories and 23.9 % calories came from carbohydrate. 46% of her diet was fat, 36% being saturated fat, 44% monounsaturated fat and 20% polyunsaturated fat.

How ever there was a huge change in food intake after participants engaged in High Intensity Exercise. There was a difference shown with a significance of (P<.05). This helped the researchers come to the conclusion that High Intensity workouts are beneficial for the 24 hour energy balance. However it found that these effects usually don’t carry over into the next day. It also showed that while the consumption levels fell the types of food which they consumed did not change

Experiment 2: Male and female subjects with long-term (6 months) HFCS access. 150 male and 150 female subjects with comparable BMI levels, daily activity levels and daily medications/vitamins are assigned the same standard diet to follow for a 6 month period. Subjects understand they are to refrain from signicant lifestyle changes during the period of study (includingbut not limited to pregnancy, other diets, exercise regime, new medications/vitamins, etc.). In addition to this standard diet the subjects are instructed to consume either a low level (Level 1) of HFCS each day in the form of a solution, a higher level (Level 2) of HFCS each day in the form of a solution, a low level (Level 1) of sucrose in the form of a solution, or no additions (no HFCS or sucrose). Water consumption is at subject’s discretion. HFCS and sucrose levels are measured daily and body weight is measured weekly. At the end of 6 months on this specied standard diet and HFCS/sucrose intake, blood samples are taken and examined for triglyceridesand insulin, and an updated BMI index is calculated.Data from all groups will be compared using ANOVAs or repeated measures

Also no time-trail difference was projected between the two diets. Ruby stated "Our results show that eating fast food -- in the right amounts -- can provide the same potential for muscle glycogen as sports nutrition products that usually cost more," (Science Daily 1) This experiment does have some limitations such as these individual candidates metabolisms were not taken into consideration, As well, are all of these candidates similar in ways because if they are how can we say that this experiment has a positive outcome because what might work for one individual might not work for another. These details were left out of the report, which has me questioning the actual effect this would have on everyone, maybe this experiment will only work on these cyclists. Furthermore the portions of fast food that were given to these cyclists were not specified, so how will people that believe in these results know how much they can or cannot consume by not sharing this information individuals will consume large portions of fast food which could have an effect on their health as a

This activity was to record a detail food log, personal caloric needs and intake and comparing to a standard distribution. The standard distribution percentage given for this activity was 40% carbs, 30% proteins and 30%fats. In this analysis I will compare my personal results of caloric intake and estimate my BMR, TMR and how this impacts my weight management goals.

This diet suggests aiming for higher protein and carbohydrate consumption on training days and, on rest days, still focusing on protein but, instead, consuming more fat than carbohydrate.

Carbohydrates are seen as our body’s primary source of quick energy. However, they provide another significant function to the individual. When ingested they can transform into glycogen that is later stored in the muscles and liver (Mayo Clinic, 2006). This glycogen in the muscles is the body’s fuel for training and competing and starts to deplete as you exercise at a high intensity (Heaner, 2004).

The influence of high-carbohydrate meals with different glycaemic indices on substrate utilisation during subsequent exercise. British Journal Of Nutrition, 90(06), 1049.

The percentage of energy supplied for the body’s energy needs by fats and carbohydrates varies at 0 minutes, 5 minutes and after 45 minutes of a marathon. The biochemical events that occur at these time points will be evaluated in terms of the mobilisation of fats and carbohydrates, the pathways each takes to produce energy and their yield in producing Adenosine triphosphate (ATP). Fats and carbohydrates differ in their structure, energy yield and the way they are stored in the body. For these reasons, they are not used equally by the body; and one predominates over the other at different times in a marathon. The structure of fats consist of one glycerol molecule bound to three fatty acid chains via ester bonds, and are termed triglycerides.

We found that Joshua tended to eat a lot of protein. Chris ate a lot of protein too. Chris ate 94.45 grams of protein more than Joshua. With the fat it was really the opposite. Joshua and Chris ate less than the amount they were supposed to. They were lower than the usda by about 107.1 grams. Chris had eaten 7.3 grams of fat less than Joshua. With the sodium Chris and Joshua still tended to eat less than the recommended amount. They had eaten about 28.67 grams less than the usda recommended amount. Joshua had eaten 1.412 grams less than Chris. Sugar was a piece of data that's really spread out. Chris ate 89.05 grams of sugar more than the recommended. Joshua on the other hand ate 181 grams less than the recommended

The glycemic index is a good measure of how carbohydrate-containing food affects a person’s blood glucose levels. In was originally introduced in 1981. The general rule for Glycemic index is that low glycemic index food was digested and absorbed slowly and high glycemic index food are rapidly digested and absorbed. These two factors result in different glycemic responses from the body (Sun, O’Reilly, Li, and Wong, 2013, p. 1001). It is because of these reactions that many people have become interested in seeing how the different glycemic index of food will help athletes during exercise. One of the main ways people use the glycemic index for exercise is in their pre-exercise food (Sun, O’Reilly, Li, and Wong, 2013, p. 1001). Using the glycemic

The subjects refrained from caffeine, standardized diet, and standardized training for 48 hrs before the trials. For 24 hours before the trials, each subject was given a prepackaged standard diet. Exercise and food diaries were kept and checked for compliance.