Reference no: EM132358593
Answer the 2 questions below (100 words for each question), and then respond to the 3 responses below (100 words for each post).
APA format.
1. Discuss the physiologic / anthropometric characteristics necessary for successful endurance running performance.
2. A football coach wishes to field a team whose players are not overly fat. He selects the frequently used BMI to screen out players with excessive body fat. What are the possible outcomes of his decision for football performance? (Use resources to support your answer)
Response 1: Alice CO.
My response to a friend that is asking about why he or she is considered obese by some criteria is that not all methods of measuring the body mass are considering the three different body types. The three different body types are ectomorph, endomorph, mesomorph. Each has their own typical characteristics that can help determine which body type you have. Also depending on the body type you can adjust your training and eating habits accordingly. Most criteria don't considered this in their measures and if you have a endomorph body type which is a wide and build body or a mesomorph body type that is more athletic build you can be falling in the obese or over fat due to the body measurements, but that don't mean that your obese. My personal opinion a good assessment to know if your in the normal, borderlines of obese or overweight is to measure the waist. For men if your less than 40 inches around your waist your in the normal range and for woman if your less than 35 inches around your waist your in the normal range. This measurements are also helpful in order to know the risk for type 2 diabetes, high blood pressure, high cholesterol, and heart disease in the person. Also another way to know your body's composition or body's fat percentage is using the skinfold measurement test which is an old but very common method. It estimates the percentage of body fat by measuring skinfold thickness at specific locations on the body (Quinn, 2019).
Response 2: Michelle M.
This is something that has always seemed interesting to me because of how we have different ways and styles of figuring "how much fat" some has.If my friend was told they were "overfat" it is probably because they use the basic outdated system or the "height and weight table,", but that is my personal opinion. If you are to go by these tables, they give you and unreliable information about your body composition. Your body composition consists of muscles, bone, and fat. This method uses statistical land marks that are based on the overage ranges of body mass concerning stature associated with the lowest mortality rate for persons ages 29-59. We must consider that some can weigh more than the average for weight for height standard and still be considered "underfat" for body composition.But when people are measured using the BMI (body mass index method) they are more likely to figure whether they are considered "overweight." When we get individuals BMI we are measuring different areas of the body and using different ways to measure. Measuring height, weight, abdominal fat, body density (body mass/body volume), fat mass, fat-free body mass, lean body mass, etc. We use systems like the bod pod, skin fold methods, hydrostatic weighing, and water displacement ett....Also, people have to remember fat weighs less than muscles.
Response 3:Ebonee J.
Body composition assessments vary in precision and in the target tissue of interest. There are many different methods that clinicians utilize to assess body fat percentages, and just like anything there is a gold standard and everything in between. "The most common assessments are anthropometric and include weight, stature, abdominal circumference, and skinfold measurements. More complex methods include bioelectrical impedance, dual-energy X-ray absorptiometry, body density, and total body water estimates" (Duren, Sherwood, Czerwinski, Lee, Choh, Siervogel, & Cameron, 2008). Indirect methods, such as anthropometry and bioelectrical impedance analysis, tend to have larger predictive errors than direct methods like MRI and CT scans and are affected by sample specificity and disease conditions.