ENERGY EXPENDITURE

Spending on Energy

Calculate the same person’s VO2, Mets, and kCal for both running and walking on a treadmill using the Energy Expenditure Prediction equations from Chapter 10 at two intensities (hard and light). Exercise for at least five minutes while monitoring heart rate every minute. (The “Notes on Paper” document already has these computations.)

Create a table to summarize your findings and show the connections between intensity, heart rate, and energy usage. Please feel free to illustrate your findings with graphs. The relationship between energy expenditure and the body’s energy systems will next be discussed, along with the advantages and disadvantages of utilizing prediction equations to estimate energy expenditure as opposed to actually measuring oxygen consumption.

Your project should be between three and five pages long, prepared in accordance with APA standards (double-spaced, Times New Roman, 12 point), include a title page and a references page.

Save your time - order a paper!

Get your paper written from scratch within the tight deadline. Our service is a reliable solution to all your troubles. Place an order on any task and we will take care of it. You won’t have to worry about the quality and deadlines

Order Paper Now

McArdle, W.D., F.I., and V.L. Katch (2014) are the authors. Nutrition, energy, and human performance in exercise physiology, 8th ed. : Wolters Kluwer Health, Baltimore, Md.

To improve the quality of the document, feel free to choose a different source.

Create a table to summarize your findings and show the connections between intensity, heart rate, and energy usage. Please feel free to illustrate your findings with graphs.

The relationship between energy expenditure and the body’s energy systems will next be discussed, along with the advantages and disadvantages of utilizing prediction equations to estimate energy expenditure as opposed to actually measuring oxygen consumption.

Pros:

Investigating and trying to comprehend the natural world are the goals of science. To create predictions, scientists use gathered information and justifications. Making inferences based on prior information and experience is organized using prediction equations. We can estimate outcomes that might otherwise need more time and effort thanks to prediction equations.
An individual could determine how much energy is being consumed in the case of calculated energy expenditure without using the resources to measure actual expenditure. Prediction equations can be recorded off-site, are simple to use, and don’t require measuring equipment.

Cons:

Individuals have been proven to consume oxygen differently. Oxygen consumption is influenced by a number of variables, including heredity, level of training, gender, and age (McArdle et al., 2014). In addition, this is taken into account in the energy expenditure prediction equations together with the mode of exercise and body weight. Although the prediction equations are useful for estimating oxygen consumption, they do not provide an exact measurement of oxygen utilization because of the large number of variables in actual consumption that they cannot fully account for.
Table 1

Energy Used When Walking and Running on a Treadmill at Light and Hard Intensities

Walking and Light Running Light Hard Hard
(mL kg-1 min-1) VO2 12.73 17.34 41.48 54.14 METs 3.64 4.95 11.85 15.47 kCal 5.85 7.97 19.06 24.88
Note. A 91-kg person was used to measure all intensities while using a treadmill with a 4% slope. Light and vigorous running and walking had relative speeds of 2.0 mph, 3.0 mph, 6.0 mph, and 8.0 mph. On the basis of the energy expenditure formulae from McArdle et al. (2014), calculations for VO2, METs, and kCal were made.

Figure 1 shows the heart rate of a 91-kg person during light and vigorous treadmill walking and running. For a treadmill with a 4% gradient, all intensities were recorded.

 

 

"Get 15% discount on your first 3 orders with us"
Use the following coupon
"FIRST15"

Order Now