My FVC was 5.49 L/min versus the national average of 3.53L/min. My FE1.0 was measured at 5.16 L compared to the average of 3.02 L. Finally, my FEV1.0/FVC % was 94.0% compared to 85.5%, which is way closer in percentage. There is a despriency in the averages because of fitness level and the amount of air flow into the lungs, and pulmonary diseases that may hinder breathing, and muscle weakness. Also, I am currently 20 and the averages groups people from 20-40 years old. This is a huge deviation, which can result in higher values. Was there a difference between your predicted FVC or FEV1.0 with the actual calculation? Explain why or why not My predicted FVC was 4.21 L and my actual was 5.49 L. For FEV1.0 my predicted measurement was 3.64 L and my actual was 5.16 L. As seen from my results, my measured results were higher than my predicted results. This could be because my physical fitness is better than the average 20-40 year old. …show more content…
Flow rates? – Is there any conclusions that can be drawn specifically from the data? Age, height, and sex all have an effect on predicting lung volume. For flow rate, exercise is predicting factor. From the data, we see that males have higher PEFs and FVCs. This is most likely because of more muscles mass, height, and we have many male athletes. This supports the ideas that sex, increased height, and increased mass all increase the lung volumes. What factors can affect peak expiratory flow? – How would these affect exercise capacity? Height, gender, physical fitness, and race can all affect PEF. In addition, lung disease and tobacco usage can create a decrease in PEF. For people with lung disease, exercise capacity is decreased because their VO2 is decreased. With the restriction on their lung capacity, they would most likely fatigue
My results yielded a high Average Molarity .270M . The ideal would be around 1.000M . Deviation was ± 1.20
Functional Aerobic Impairment (FAI) was the next value looked at. FAI assesses the difference between a people’s aerobic capacity based on age, gender, and usual activity level. It’s measured by a percentage and used to determine the level of aerobic impairment a test subject may have (Franklin, 1989). There are five different categories that the different percentages fall under: no significance, mild, moderate, marked, and extreme. Looking at the results above, all but one of the females had a negative percentage, while all of the males had positive percentages. The lower the FAI score or percentage the better, this means the test subject has a higher VO_2max than what was predicted, giving them a better health status. The negative values,
I found out that both of my experiments were off by 0.46 and 0.13 but were remotely
It is hypothesized that the different heights of the test subjects will affect their lung capacity. This is because taller people have larger lungs, therefore allowing their oxygen intake to be greater than those of shorter people.
Cari’s po2 is 54 mm Hg so therefore her lungs were working as if she was doing intense exercise although she wasn’t. Decreased oxygen saturation and PO2, decrease the efficiency of gas exchange between the arterial blood and tissues of the body.
Check step 3 cause open study says: The last calculation where you calculated the volume of the sphere is off, my calculator says it is 1436026.66667, and your number got smaller by multiplying by 4/3. Somehow xD and if it is quarter sized does that mean 1/4 of a sphere
A persons lung capacity can determine someone’s exercise level because if you have a larger lung capacity it allows your body to take in more oxygen which gives your muscles more energy which means you can do exercise for a longer amount of time.
The uncertainty of the graduated cylinder is ±0.5 mm. The volume of the substance measured is 50 mL because the density of water is 1 g/〖cm〗^3 and the mass is 1 gram per milliliter. To calculate percent uncertainty: (0.5 mm)/(50 mL)*100=1%
Diffusion in the lung increases(breathing out)- As you breathe in faster you also breathe out faster because you need to get rid of carbon dioxide as fast as possible to replace it with oxygen.
There are different factors that affect lung volumes such as taller people and people who live in higher altitudes often have larger volumes compared to shorter people or people who live at lower altitudes. Other variables such as age, gender and weight also have an effect on the lung function. As a person gets older not only does the natural elasticity of the lungs
With this experiment, I felt there were a number of possible scenarios of error. The first part I notice that could have caused an error in my overall sample was at the start of the experiment I heated my unknown and the flask in a beaker of water that was not boiling yet for several minutes. Once I noticed my mistake I heated the water until boiling temperature recorded the degrees and continued on with my experiment. The next part of my experiment that may have caused error to my overall sample was while I was lowering my sample into the beaker of boiling water the utility clamp was not working properly and forced my sample to touch the walls of the beaker. This could have effect my overall result.
The PFT tests were conducted pre-run, post-run, and at 5, 10, 18, and 30 minutes post-run. Then, on two separate days, the participants were randomly given their task of either running outside or inside. The outdoor runners were allowed a 1-lap warm-up leading to an 8-minute run that also targeted the runners’ 85-95% MHR. The indoor runners were given a 5-minute warm-up (3.5 mph) at a 6% grade and was followed by an 8-minute run that allowed for an 85-95% MHR.
1. The values of Inspiratory Capacity (IC), Vital Capacity (VC), Functional Residual Capacity (FRC), and Total Lung Capacity (TLC) were compared to the values of an Adult Female because the volunteer in the experiment was female as well. The comparison of values showed that the volunteer had low values of IC and VC but a much higher value of FRC. Factors contributing to these differences could be due to the volunteer possibly having a smaller lung capacity and lung size compared to the average female therefore causing the results, or the volunteer did not expire all the air possible from the lungs and caused skewed results considering the total lung capacity was very similar to the average female values.
The hypothesis for this lab was tenable. The hypothesis held true that the subjects could calculate their VO2 max and score within a good range established by norms. The participants recorded variables such as heart rate, RER, VPE, VE, FEO2%, and absolute VO2 (l/m)
Due to these errors and lack of focus the scientist got 5.82 j/moll instead of 8.3 j/moll which the scientist was supposed to