scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage


Author(s):  
Stevo POPOVIC ◽  
Boris BANJEVIC ◽  
Bojan MASANOVIC ◽  
Dusko BJELICA

Background: The body composition and physical fitness of members of the army is always a relevant topic for research, since the level of defense and security of people and material goods in a specific territory in many ways depends on the level of ability of the army. However, members of the armed forces are a heterogeneous group, typified by different abilities, characteristics, but also everyday needs, and the trend of changing body composition and reducing physical fitness is a current issue that has not bypassed this population either. Therefore, this study aimed to determine possible differences in body composition indicators that could appear between members of the Army of Montenegro of different military specialties. Methods: The sample of respondents included 240 Montenegrin male soldiers (32.5yr±9.5), who were measured at the sports dispensaries within the barracks of Montenegrin Army around the country in the spring of 2020, was classified into eight numerically equal subsamples according to their military specialty. The sample of variables included five anthropometric measures, which were necessary to calculate two derived body composition indicators: Body Mass Index (BMI) and Body Fat Percentage (FAT %). Using the one-way ANOVA and Post Hoc test with Taki’s model, the variables were analyzed. Results: It was determined that the body composition of Montenegrin soldiers shows a certain peculiarity compared to other national military corps, while there are differences in body composition indicators between members of the Montenegrin Army of different military specialties. Conclusion: This fact dramatically strengthens the issues of Montenegrin distinctive regarding body composition, both in general terms and in terms of distinctive within specific professional vocations.  


2018 ◽  
Vol 71 (5-6) ◽  
pp. 157-161
Author(s):  
Aleksandra Rakovac ◽  
Lana Andric ◽  
Vedrana Karan ◽  
Maja Bogdan ◽  
Danijel Slavic ◽  
...  

Introduction. There is a great interest to identify factors that influence the value of maximum oxygen consumption. The goal of this research was to assess the body composition, pulmonary parameters, and maximum oxygen consumption in different types of sports and in non-athletes. Material and Methods. The research included 149 male participants: aerobic athletes (n = 55), anaerobic athletes (n = 53) and non-athletes (n = 41). The participants were tested at the Department of Physiology, Faculty of Medicine of the University of Novi Sad. Anthropometric parameters and body mass index were measured. Also, the body fat mass was determined by bioelectrical impedance. pulmonary parameters by spirometry and maximum oxygen consumption on a bicycle ergometer. Results. The body mass index values in non-athletes were the highest and significantly different compared to the aerobic athletes (p = 0.01). Also, non-athletes had significantly higher values of body fat mass compared to athletes (p < 0.001). The pulmonary parameters were not significantly different between the tested groups (p > 0.05). However. the values of maximum oxygen consumption were significantly different between all three tested groups (aerobic athletes 53.75 ? 7.82 ml/kg/min; anaerobic athletes 48.04 ? 6.79 ml/kg/min; non-athletes 41.95 ? 8.53 ml/kg/min) (p < 0.001). A low degree of correlation was found between maximum oxygen consumption and pulmonary parameters in the tested groups. Conclusion. Body composition has an impact on the pulmonary parameters. The values of maximum oxygen consumption depend on the type of sport and training. and the highest values are in aerobic sports. There is a low degree of correlation between maximum oxygen consumption and pulmonary parameters in the tested groups.


2019 ◽  
Vol 73 ◽  
pp. 572-580
Author(s):  
Katarzyna Banach ◽  
Paweł Glibowski ◽  
Paulina Skorek

Aim: Body composition, especially the mass of adipose tissue, affects the risk of developing the metabolic and cardiovascular diseases as well as some cancers. The aim of this study was to determine the relationship between the body composition of adults and their Body Mass Index. Material/Methods: The study involved 120 subjects (69 women and 51 men) aged 19 – 66 (30.55 ± 10.41). The recruited subjects were assigned to three subgroups: with normal body weight, overweight and obesity, depending on the BMI value. There were 40 subjects in each subgroup, including 23 women and 17 men. Besides the measurements of height and body mass, the SECA mBCA515 analyser was applied for the body composition analysis using the bioelectric impedance method. Results: A significant association was found between the BMI index and fat mass, lean mass and muscle mass, both in the whole group and after taking into account the sex. The correlation coefficient R range was from –0.88 to 0.97. The incidence of obesity in the studied group according to body fat content criteria (>25% for men and >30% for women) was 57%, while according to BMI criteria –33%. BMI cut-off points for obesity were 27.8, 26.4 and 26.4 kg/m2 for men, women and for all, respectively. Conclusions: In epidemiological studies, to identify obese people, body fat should also be taken into account in addition to BMI. If obesity is understood as excess fat, and not excess weight, the cut-off points for BMI-based obesity should be lowered.


2015 ◽  
Vol 19 (3) ◽  
pp. 74-78 ◽  
Author(s):  
Shabani Mehrzad ◽  
Shakerian Saeid ◽  
Fatemi Rouholah

The purpose of this study was to investigate body mass index (BMI), body fat percent (%BF) and waist-hip ratio (WHR) of physical education male students of Shahid Chamran University and comparison with national and international body composition standards. Material : Subjects were seventy five male students physical education male students of Shahid Chamran University of mean age (23.21±2.78), mean height (174±5.71) and mean weight (70.07±9.43) who were selected randomly. Some of body composition indices were determined with body composition analyzer apparatus (bioelectrical impedance apparatus). Results : Descriptive characteristics of subjects include: body fat percent (19.37±3.62), waist-hip ratio (0.80±0.037) and body mass index (23.18±2.68). To categorize and regulate data we used descriptive analyzes, to calculate Pearson correlation coefficient we used presumption analyzes and to compare the obtained data with national standards we used T-test statistical procedure. There are significant correlations between body mass index and waist-hip ratio (P=0.709, r=0.001), between body mass index and body fat percent (P=0.783, r=0.001) and between body fat percent and waist-hip ratio (P=0.809, r=0.001). There are significant differences between mean body mass index and its national standard (P=0.001), between mean waist-hip ratio and its national standard (P=0.001) and between mean body fat percentage and its national standard (P=0.001). Conclusions : Results revealed that according to national standards of body fat percentage and body mass index of subjects, they were assigned to more than intermediate limitation; it may be due to abnormal nutrition, unregulated exercise or physical activity and heredity.


2017 ◽  
Vol 6 (3) ◽  
pp. 15-22
Author(s):  
Behnaz Hajirezaei ◽  
Saeed Mirzaei ◽  
Ali Khezri

Background and Aims: The aim of this study was to investigate the relationship between flat feet and cavus foot with body mass index in girl students. Methods: The study population consisted of the Mazandaran University students that their number was 260 (130 girl college students and 130 girl students of non-physical education) formed. Sampling of participants over the two days. Height and weight of the subjects were measured, then they were placed on a mirror box and were taken the photographs of the Plantar foot. for picture Plantar foot was used of the mirror box (pedescope). data analyzed by Pearson and Spearman correlation coefficient. Results: The results of Pearson correlation coefficient test in physical education subjects showed there was no relationship the between BMI and flat feet (0.306). Also, the relationship between BMI and cavus foot was significant and direct (0.330). The results of Spearman correlation coefficient test in physical education subjects showed that the relationship between BMI and flat feet was significant (0.457). Also, there was no relationship between BMI and cavus foot (-0.026). The results in non-physical education subjects showed the relationship between BMI and flat feet was significant, but was in the opposite direction (-0.493). Also, the relationship between BMI and cavus foot was significant and direct (0.424). The results of Spearman correlation test showed that the relationship and flat feet was significant but was in the opposite direction (-0.648). Also, the relationship between BMI and cavus foot was significant (0.413). Conclusion: According to the results of this study, it seems to there was no relationship between flat feet and cavus foot with body mass index in girl students.


2021 ◽  
pp. bmjmilitary-2021-001936
Author(s):  
Stephen A Foulis ◽  
J M Hughes ◽  
B A Spiering ◽  
L A Walker ◽  
K I Guerriere ◽  
...  

Introduction/backgroundAs a proxy for adiposity, body mass index (BMI) provides a practical public health metric to counter obesity-related disease trends. On an individual basis, BMI cannot distinguish fat and lean components of body composition. Further, the relationship between BMI and body composition may be altered in response to physical training. We investigated this dynamic relationship by examining the effect of US Army basic combat training (BCT) on the association between BMI and per cent body fat (%BF).MethodsBMI and %BF were measured at the beginning (week 1) and end (week 9) of BCT in female (n=504) and male (n=965) trainees. Height and weight were obtained for BMI, and body composition was obtained by dual X-ray absorptiometry. Sensitivity and specificity of BMI-based classification were determined at two BMI thresholds (25 kg/m2 and 27.5 kg/m2).ResultsA progressive age-related increase in fat-free mass index (FFMI) was observed, with an inflection point at age 21 years. In soldiers aged 21+, BMI of 25.0 kg/m2 predicted 33% and 29% BF in women and 23% and 20% BF in men and BMI of 27.5 kg/m2 predicted 35% and 31% BF in women and 26% and 22% BF in men, at the start and end of BCT, respectively. Sensitivity and specificity of BMI-based classification of %BF were poor. Soldiers below BMI of 20 kg/m2 had normal instead of markedly reduced %BF, reflecting especially low FFMI.ConclusionsBCT alters the BMI–%BF relationship, with lower %BF at a given BMI by the end of BCT compared with the beginning, highlighting the unreliability of BMI to try to estimate body composition. The specific BMI threshold of 25.0 kg/m2, defined as ‘overweight’, is an out-of-date metric for health and performance outcomes. To the extent that %BF reflects physical readiness, these data provide evidence of a fit and capable military force at BMI greater than 25.0 kg/m2.


2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 


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