Body Mass Index (BMI), Skin-fold thickness and Waist Hip ratio (WHR): Which one provide a better prediction on body fat ratio?
Abstract
Body Mass Index (BMI), Skin-fold thickness and Waist Hip ratio (WHR) have linkage toward body fat ratio. However, the strength of linkage of those index were not found yet. Linkage of body fat ratio between BMI, WHR, and skin-fold thickness are investigated by gender. 40 sets of data are collected in anthropometry workshop. Linear regression-derived coefficient of determination (R2) show the correlation of body fat ratio with BMI, WHR, and skin-fold thickness. From the calculation of coefficient of determination. It found that body fat ratio had the stronger link (R2 =0.87) with skin-fold thickness
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For the obesity one had no sunken waist, that would be located to mid-line point between the lowest rib and iliac crest. Hip circumference was measured the maximal protrusion of the gluteal muscles. WHR is calculated by waist circumference and hip circumferences.
BMI is calculated through mathematical formula. Weight(kg) Height(m)2
Statistical analysis were modeled by scatter diagram. Three diagrams were plotted to show relationship between BMI (in kg/m2) and body fat ratio, WHR and body fat ratio, skin-fold thickness and body fat ratio. Through comparing the coefficient of determination (R2), index had the strongest link would present a largest number.(3)
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Result
Figure 1 show coefficient of determination (R2) between skin-fold thickness and Body fat ratio is 0.62.Figure 2 show coefficient of determination (R2) between BMI and Body fat ratio is 0.33. Figure 3 show coefficient of determination (R2) between WHR and Body fat ratio is 0.01. WHR show no linkage toward body fat ratio. Skin-fold thickness had the highest R2 with body fat ratio if we ignore the gender
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BMI and WHR were less correlated toward body fat ratio for Men and Woman. However, if data were separated into male and female. Skin-fold thickness would be the best index to predict men body fat ratio and BMI would be the best index to predict female body fat ratio. From the past study, It found the similar result, body fat ratio is more related to waist circumference than BMI in male, and more related to BMI than waist circumference in female. Body fat ratio had linked different index by gender.(4,5)
Further research is needed to show how to use BMI and skin-fold thickness to predict the nearest data of body fat ratio. While in this research, only the linkage was found. Also, some of research data were missing. Research in past already proved that race would be the factor affect the prediction on body fat ratio. While black man have a different fat distribution compare with white man.(6) Also, Age was a factor the prediction on body fat ratio. While data on research showed that same skin-fold thickness would present different body fat ratio by different age.(5,7) After that, body shape could affect the calculation on body fat ratio, too. Some study on athlete show that high muscle content would mislead BMI classified athlete as overweight or obese.(8,9) It also can apply to related cases, such as bodybuilders or construction
Recommendations • Continuous patient education should be incorporated in to clinical activities at all clinic locations. This is to enlighten patients on the activities that can adversely affect the accuracy of body composition estimation, when carried out just before visit to the clinics. This will help in maintaining industrial standard. • Specialists taking the body composition estimation should be trained on the importance of adhering strictly to the acceptable protocols of patients check-in and preparation for body composition estimation.
Provide a rationale for your answer. The statistics calculated to describe the BMI in the study was the t statistic. This was appropriate because there were two different sample standard deviations for two samples, plus no population standard deviation. 3.
Malcolm Kendrick ’s rebuttal to the BMI controversy in Doctoring Data Malcolm Kendrick discusses the controversial issue of body mass index, or BMI, and its relationship to life expectancy in his book Doctoring Data. Kendrick explains that BMI is categorized into three parts, underweight, normal weight and overweight, which suggests that normal weight should be beneficial to ones health. Although it is common thought that normal weight should benefit ones health, a paper published by The Journal of American Medical Association states that being “overweight was not associated with excess mortality” (Flegal).
Young Kids, Old Bodies talks about obesity and its growing problem. Along with insightful article, the visual representation shows: ill effect of obesity, percentile of obese girls versus boys based on race and how physical activity helps children avoid obesity. According to the visual aid on the article, obesity leads to malfunction of various internal organs and diseases. One of the many effects of fatty tissues is heart attack due to thickening of arteries (Parks, Young Kids, Old Bodies).
The measurement is most functional in calculating overweight or obesity at population-level for both sexes across entire adults ages; withal, the level of body fat varies among individuals; however, overweight and obesity calculation does not measure the body fat and muscle mass directly (WHO,2012). 3. Double-Edged Sword: malnutrition and obesity trends Based on 2016 data, young people (aged 5-19years) went from 1% of obese to 6% (girls) and 8% (boys. Alarmingly, 41 million under 5 years of age children were also reported to be overweight (WHO,2017).
According to the latest statistics from various sources, 1 out of 3 kids are obese in America and obesity is gradually becoming more and more common as it affects 37 percent of all adults and nearly 18 percent of all children in America (Yaniv and Rosin, 2009). The problem of obesity is also rising in parts of the developing world, as income levels rise and people have access to fattier products. In fact, the percentage of adult obesity has more than doubled while children’s obesity rates have more than tripled within the past thirty years around the globe (Yaniv and Rosin, 2009). However, despite the rise in global obesity rates, an alarming estimate of about 112,000 deaths are associated with obesity each in the U.S. alone. One of the chief causes is many people suffering from obesity do not make healthy food choices (Sturm, Powell, Chriqui and Chaloupka, 2010).
Retrieved September 6, 2012, from http://www.cdc.gov/nchs/fastats/overwt.htm Centers for Disease Control and Prevention. (2012). Overweight and obesity: Data and statistics. Retrieved August 8, 2012, from http://www.cdc.gov/obesity/data/childhood.html Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2012). Prevalence of obesity and trends in body mass index among U.S. children and adolescents, 1999-2010. Journal of the American Medical Association, 307, 483–490.
Furthermore, 70% of people, who come from low-income groups and middle-income groups, die because of these diseases. NCDs do not only occur in elderly, most of NDCs cases in America are from adults under 70 years old and children (Paho, n.d.). According to the national data, from 2986 to 2002, an indicator of excess body fat (MBI) in low-income groups and low education groups was higher than other groups. The BMI and obesity were inversely proportional to wages (FRAC,
Obesity in THE BLACK COMMUNITY: A Serious Epidemic Obesity is a serious problem, affecting an estimated 300 million people worldwide. Its prevalence is increasing in developing countries throughout the world. More than one-third of adults were obese in 2011–2012.(1) Among non-hispanic black adults, however, 56.6% of women were obese compared with 37.1% of men. (1) The health risks associated with obesity make reducing the high prevalence of obesity a health priority.
Summary: In this article taken from The Journal of Military Medicine, Vol. 180, January 2015, it goes into details of the current method for conducting the Navy’s body composition assessment. It also touches on the history it’s inception and the common practice for other branches. The end goal of this article is to point out its flaws and make recommendations for a new system. Most sailors believe the current method is unreliable. In the article they propose using a single circumference measurement as a single source indicator to measure an individual military service member’s body composition.
My result demonstrates that my fat percent is higher than normal (18-23%). Since I did not exceed the 30%, definition of obesity, this suggests that my fat percentage fall in the range of people who are overweight. Therefore, I need to
The ( BMI ) is a formula that produces a score that will show if a person is underweight, a normal weight, overweight or obese.
A study conducted by the University College London in the United Kingdom proposed that body weight is strongly influenced by genes. In the study, researchers used a new method called Genome Wide Complex Trait Analysis, to investigate the molecular genetic heritability of body weight in children (Llewelyn, 2013). The data collected was from a population of 2,269 children aged between 8 and 11 years old. They were looking to discover whether children who happen to be more genetically similar might also be more similar in body weight. Using the GCTA method, the researchers found that additive effects of multiple genes across the whole genome accounted for 30% of individual difference in childhood body weight (Llewelyn, 2013).
ADIPOCYTE TURNOVER Adipose tissues expand via three mechanisms: increase in the size of pre-existing adipocytes (hypertrophy), formation of small new adipocytes (hyperplasia), or by both mechanisms. According to Spalding et al. (2008), about 10% of adipose cells are renewed per year at all adult ages and body weights but without any significant increase in the overall number of adipocytes. Studies have shown that during childhood or adolescence there could be an increase in the number of adipocytes but that this number remains fairly constant in adults regardless of the weight and gender of the individual (Arner et al., 2010). This is to say that there seem to be no net loss of adipocytes in the body of a human, the overall number of adipocytes
Both nationally and all over the world, there has been an increase in obesity not only among adults but among children as well. In fact, the increase in childhood obesity has become to the point where it is considered a global health crisis (Betz 2011). The cause of this global health crisis stems from an improper balance of caloric expenditure and caloric intake. There are also other major factors that play an important role in childhood obesity. There is a genetic factor, an environmental factor, a socio-economic factor and of course a behavioral factor (Ogden 2010).