Research question: Is there a relationship between the winning time and the body mass index of a 100 meters Olympic athlete. Introduction: Athletics is a world renowned sport that is played, watched and loved by millions. I was introduced to this sport about five years ago by a coach who demanded that I join the sport. At the time I did not understand why I was being drafted into the sport. But my colleague said it was because of my average body mass index. Since then I have often wondered whether there is any relationship between body mass index and the winning time of an athlete. I decided to dedicate my exploration to answering this question. The Body Mass Index (BMI) is a measurement tool that compares your height to your weight and gives you an indication of whether you are overweight, underweight or at a normal weight for your height. How body mass index is calculated? BMI = (mass(kg))/(〖height〗^2 (m^2)) BMI Weight Ranges BMI Weight Range Less than 18.5 Underweight Between 18.5 and 24.9 Normal Between 25 and 29.9 Overweight Over 30 Obese Correlation: When two or more variables move in sympathy with the other, then they are said to be correlated. If both variables move in the same direction, then they are said to be positively correlated. If the variables move in opposite direction, then they are said to be negatively correlated. If they move haphazardly, then there is no correlation between them. Correlation analysis deals with the following: Measuring the relationship between variables. Testing the relationship for its significance. Giving confidence interval for population correlation measure. Following are some of the definitions: According to Croxton and Cowden, “When the relationship is of a q... ... middle of paper ... ...index does have an effect on an athlete’s performance. This suggests that an athlete with high body mass index is not very good on the track because getting a negative correlation implies that increase in BMI will also reduce the winning time of an athlete. BMI Weight Ranges BMI Weight Range Less than 18.5 Underweight Between 18.5 and 24.9 Normal Between 25 and 29.9 Overweight Over 30 Obese According to my chart above, most of the winning athletes have a normal BMI and that’s why they perform better. Therefore, my advice to any upcoming athlete is to make sure he maintains a normal BMI in the range of 18.5 to 24.9. An athlete who would want to take part in a 100m race should not be overweighed or underweighted but have a normal BMI. From my investigation I have discovered that only those people with a normal BMI tend to perform better on the track.
The higher a person’s VO2max, the longer they can sustain endurance events at higher training intensities. Conclusively, the experiment proved that the trained participant had a higher VO2max (higher oxygen consumption) and was indeed more fit than that of the untrained participant.
Our conclusion is that while a rise in each stat had some affect in the rise or fall of winning percentage, we could not determine a single stat that had a direct affect on the dependent variable (Winning Percentage). Our results were more effective when we ran the test on how the combination of all stats affected winning percentage, however, this would be obvious given the nature of our study.
...Black, D.R.(1988). Male and female college athletes: Prevalence of anorexia nervosa and bulimia nervosa. Athletic Training, 23, 137-140.
There are exceptions with peoples BMI, an athlete can have a high BMI and not be overweight or obese. Adults with a BMI of 30 kg/m2 or higher are considered obese. A person with a high BMI can have a normal amount of body fat if they have more muscle tissue. However, the risk of death and disease is increased for adults who are overweight and obese (Kolata 1). Common causes of obesity can be excessive caloric intake, thyroid disorders, lack of physical activity, genes, medicines, emotions, smoking, age, and pregnancy.
Disordered eating, probably one of the more well-known components of the disorder, is frequently caused by the habitually distorted ideal body image prevalent in many sports. It is most often seen in sports where weight is a factor. This includes sports that are “subjectively scored” like figure skating, those that...
...r height in metres, a healthy BMI for an adult is 18.5 to 25 and if you are classed as obese, your BMI is 30 or more. (Astrup 2009)
Weight, L. M. & T. D. Noakes. (1987) Is running an analog of anorexia? Medicine and Science in Sport and Exer-cise, 19(3)
of physical fitness as a whole. It is not enough to periods between your workouts.
A basketball player's body weight, whether female or male, "can influence their speed, endurance, and power while their body composition can affect an athlete's strength, agility, and appearance (Rodriguez & DiMarco & Langley, 2009)." Excess adipose tissue acts as dead weight in activities and in our basketball player she is carrying 16 lbs. of dead weight that is keeping her from performing at her optimum performance.
For the past several years runners all over the world have been trying to figure out and arguing over the simple question: “Is high mileage training better than low mileage, during training season?” Kenyan’s in Africa have been running unbelievable amounts of mileage for years, and tend to always be in the top field in any race over five thousand meters. While Africans have been leading the fields for years, where do the best US runners end up? Not in the lead pack! Perhaps they are training too hard to be like their Kenyan counterparts. I think a lot of runners believe that if they train like the runners from Kenya that they will have the same results. When in truth they end up running themselves into the ground. Perhaps that is why there are others that think that if they train light and more to their athletic ability level that they will have better results.
Collegiate athletes spend multiple hours training to perfect their craft. Majority of colleges include training twice a day, one in the morning before an individual’s class and one after. More than 190,000 women are registered under the NCAA (Shriver, Betts & Wollenberg 2013). Shriver, Betts & Wollenberg (2013) conducted a study to determine if these female collegiate athletes are properly nourished for the amount of workload their body endures through rigorous and tiresome training. The female athletes in their study failed to meet their minimum energy and carbohydrate needs and also failed to follow basic sports nutrition guidelines. Majority of amateur level athletes have a variety of misconceptions regarding nutrition. Both malnourishment and over-nourishment can have a negative impact on an athletes’ performance (Webber, 2015). Specifically, athletes who participate in weight conscious sports may be the key beneficiaries with proper education in nutrition. For example, wrestlers, cross country runner and cyclists all need to be conscious of their weight in order to have the best possible chance in succeeding in their sport. Therefore, education throughout the high school level or proper care from staff should be the main focus for athletes. Abood, Black & Birnbaum (2004) conducted a study that involved athletes and an education of nutrition through an 8
In a recent study, 403 participants were first asked to answer a short questionnaire regarding their gender, age, and physical exercise habits. They then completed a questionnaire regarding perceived characteristics of a sport. In this latter questionnaire, the respondent was asked to rate to what degree the descriptor is characteristic of the sport or those practicing the sport using a seven-point scale from 1 (“Not at all characteristic of the sport/sport participant”) to 7 (“Very much characteristic of the sport/sport participant”). For each participant, the sport to be rated was randomly selected out of 41 different sports, 19 of which had been previously labeled gender-neutral, 7 of which ha...
...lculator, 100.1 pounds equals a BMI of 16.15; that’s exactly 2.35 points below the bare minimum for a healthy body mass.
Females have slightly less variability, but the interquartile ranges of both genders are identical. On a scale of 5 to 25 that has a neutral influence score of 15, the means fall just above a level of slight influence. An independent t-test was conducted to determine if the mean difference between the two genders was statistically significant. Because the p-value of the Levene’s Test was .315, it is appropriate to assume equal variances. The p-value of .068 does not fall below .05 and thus the null hypothesis cannot be rejected. The influence of professional athletes on the health and wellness choices of University of Michigan undergraduates does not differ between males and
Junior Sean Randich said that cutting weight also could be important because as one moves down in weight classes it is easier to win.