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# The aim of my investigation is to measure the effects of BMI (body mass index) on heart rate recovery after a period of exercise.

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Introduction

﻿Aim The aim of my investigation is to measure the effects of BMI (body mass index) on heart rate recovery after a period of exercise. I aim to take the BMI of several test subjects who are of similar age and record their recovery times for before and after exercise. I aim to obtain reliable, valid and accurate results which represent each of the BMI classifications for our age group. Hypothesis I predict that ?As the BMI of an individual increases, the resting heart rate after exercise will increase?. Moreover, ?If an individual?s BMI is above 25 (overweight), their recovery time after exercise will be longer than that of an individual with a lower BMI (20 for example)?. This is because the heart the heart will be weaker and so is harder to pump blood around the body; there also may be a build up of fatty deposits which block the passageways for the blood to flow, making the heart work twice as hard. I have chosen this hypothesis as I believe it would be the most effective in affecting recovery rate. Science I will be investigating the effects of BMI (body mass index) on heart rate recovery after a period of exercise. The heart rate is the time it takes for the heart to return to its resting heart rate (in terms of BPM). BMI (body mass index) is the index that is used to identify whether the weight of an individual is healthy for their height. BMI classifies the weights of people into underweight, average weight, or overweight. A BMI of below 18.5 is referred as underweight, a calculation between 18.5 and 24.9 is referred to as being healthy (average) and a calculation of between 25 and 30 is considered overweight. For my project, I have two test subjects from each BMI classification. To calculate BMI you must: * Find your weight and height * Divide your weight (in kg) ...read more.

Middle

BMI Resting Heart Rate (BMI) Heart rate after exercise (BMI) Average Recovery time after exercise (Seconds) Underweight Matt.D 183 61 18.2 72 102 45 74 106 72 98 Underweight Max.S 165 50 18.4 84 140 52 84 144 86 140 Normal Weight Tendai.M 169 59 20.7 90 144 77 90 156 90 140 Normal Weight Jamol.J 173 62.5 20.9 66 156 53 64 160 68 148 Overweight Elliot.J 173 81 27.1 90 204 118 94 200 86 210 Overweight Jack.T 174 82 27.4 72 190 123 76 186 70 188 Name Test 1 Recovery Time after exercise (seconds) Test 2 Recovery Time after exercise (seconds) Test 3 Recovery Time after exercise (seconds) Average Recovery Time after exercise (seconds) Matt.D 40 49 46 45 Max.S 49 43 52 48 Tendai.M 72 81 77 77 Jamol.J 50 55 56 53 Elliot.J 100 114 141 118 Jack.T 105 135 129 123 Outliers ________________ Identify Hazard Types of Hazard How to reduce risk Severity of risk Low=1 High=5 Chances of risk occurring Low=1 High=5 Emergency Action Dehydration Fainting, lack of water/fluids (water loss) Drink plenty of water to ensure that they are hydrated. 5- The risk to this type of accident could be very severe. 1 Quickly supply the person with water Cramps Muscle damage, cause a shock and a rise in person?s heart rate. Warm-up thoroughly, stretch muscle before running 3- If someone doesn?t warm-up there is a risk that the person will have a severe damage. 2 Stretch out muscle, put pressure on which is cramped, strengthen crump area in pain. Falling over Slipping and injuring them. Make sure the test subjects bring in trainers. 2 4-due to the fact that the grass is wet Check that there isn?t any broken bone, and call the nurse. Heart rate Exceed limit of safe heart rate. Calculate the heart rate, and ensure that it is between 60 and 80% 4 4- The person could prophetically be at risk of during. ...read more.

Conclusion

The secondary data sheet that we were given in this coursework shows different results for different types of experiment. For example, marathon runners, sex, water or sports. The only experiment in the secondary data sheet that is similar to mine was the marathon runners, because it contained results of heart rate which is similar to mine. I could use this to identify any potential outliers. The range bar showed on my graph shows that the results for one subject who was in the overweight category, who had 118 seconds of recovery time, were different. The result I obtained from that particular subject was different through all three experiments. There the results for that subject show a long range bars on the graph. The reason this particular subject had three different results each he did not recovery fully from the last run, therefore resulting in an enormous increase between the tests. If I look at the second and third results. The third results vary enormously from the average than the second results. So thereby I can conclude that result 3 is an outlier. Hence confirming that overweight subject had longer recovery time. This decreases my confidence on the result I obtain, because of the large range bars. In order to back up my results, I obtained further evidence from another piece of secondary data, which has the same hypothesis as mine. The secondary data contains more test subject, which is something I should have done. The trend of the results is similar to the trend of my results. This also allows me to gain more confidence on my results. Although, the outlier makes the results in-accurate, making the correlation different thus decreasing the confidence of results. To increase confidence of my result further, I used result from other people from our class who had the same hypothesis as mine. His result also showed the same trend as mine. The similarities I had with the result from other people in our class are shown as following: * The results had similar trend, which therefore increases my confidence on my results. ...read more.

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