Comparative Analysis of Body Fat Percentage Versus Body Mass Index to Predict Weight Loss After Bariatric Surgery

2015 ◽  
Vol 11 (6) ◽  
pp. S98-S99
Author(s):  
Tara Mokhtari ◽  
Sayantan Deb ◽  
Lindsey Voller ◽  
Sophia Koontz ◽  
Dan Azagury ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Body Mass Index ◽  
Weight Loss ◽  
Comparative Analysis ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Predict Weight Loss

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

scholarly journals Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Middle Aged ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

The relation between body mass index and body fat percentage in Brazilian adolescents: Assessment of variability, linearity, and categorisation

2021 ◽  
pp. 1-18
Author(s):  
Matheus Pacheco ◽  
José Roberto de Maio Godoi Filho ◽  
José Nunes da Silva Filho ◽  
Josivana Pontes dos Santos ◽  
Edson Souza Farias
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

scholarly journals Body Fat Percentage, Waist Circumference and Body Mass Index are Correlated with Nitric Oxide Levels in Young Adults with Central Obesity

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Feriyandi Nauli ◽  
Nurhasanah Nurhasanah ◽  
Endang Mahati ◽  
Udin Bahrudin
Keyword(s):  
Nitric Oxide ◽  
Body Mass Index ◽  
Young Adults ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Central Obesity ◽  
Subcutaneous Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

Background: Central obesity stands for the corner-stone of cardio-metabolic health, while nitric oxide (NO) is a major regulator of cardiovascular function. To day, the correlation between serum NO metabolites nitrate/nitrite and the obesity components in young adults remains elusive. Thus, this current study was conducted to know the correlation between serum NO metabolites levels and body fat percentage, waist circumference (WC) as well as body mass index (BMI) in young adults with central obesity.Materials and Methods: A cross-sectional study was conducted in Riau, Indonesia, involving 79 young adults aged 18-25 years, composing of 39 and 40 subjects with and without central obesity, respectively. Anthropometric measurements were performed to assess WC and BMI. Body fat percentage was measured using bioelectrical impedance analysis and serum NO metabolites levels were assessed using Griess methods.Results: Levels of serum NO metabolites were significant higher in the subjects with central obesity (168.41±12.64 μmol/L) than that of normal subjects (70.57±44.99 μmol/L, p<0.001), but the levels were no significant different between male and female subjects. Serum NO metabolites levels were strongly correlated with total body fat (r=0.618, p<0.001), visceral fat (r=0.733, p<0.001), subcutaneous fat (r=0.547, p<0.001), WC (r=0.717, p<0.001) and BMI (r=0.788, p<0.001).Conclusions: For young adults in Riau, Indonesia, levels of serum NO metabolites are higher in the central obesity group than that of the normal. In this population, body fat percentage, waist circumference and body mass index are correlated with serum nitric oxide metabolites levels.Keywords: nitric oxide, body fat percentage, young adults, central obesity

scholarly journals Effects of Combined Aerobic and Strength Training on Aerobic Capacity and Body Composition

2019 ◽  
Vol 7 (4) ◽  
pp. 14
Author(s):  
Nuri Topsakal ◽  
Osman Ates ◽  
Burcak Keskin ◽  
Orhan Armutcu
Keyword(s):  
Body Mass Index ◽  
Strength Training ◽  
Body Mass ◽  
Body Fat ◽  
Aerobic Capacity ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Combined Training ◽  
Waist Hip Ratio ◽  
Group 16

The purpose of this study was to analyse the effects of combined aerobic and strength training in circuit training on body fat ratio. The universe of this study was selected as 32 male participants who continue their training and do fitness for health. Participants were divided into 2 groups: aerobic group (16 people) and combined group (16 people). This study was applied for 8 weeks, 3 days per week, and 1 hour per day. Participants were informed about how the tests will be conducted. An aerobic capacity test, body fat percentage, body mass index, and waist-hip ratio were among the applied tests and measurements. Data were analysed with SPSS 21 package program. Average and standard deviation of obtained data were calculated. Results showed that results of aerobic and combined trainings were similarly, and both aerobic and combined training positively affected body weight, body mass index, body fat percentage, and aerobic capacity values. Additionally, it can be stated that aerobic exercises directly affected waist-hip ratio compared to combined exercises, and combined training was more efficient for waist-hip ratio.

scholarly journals Performance of newly developed body mass index cut-off for diagnosing obesity among Ethiopian adults

2019 ◽  
Vol 38 (1) ◽  
Author(s):  
Makeda Sinaga ◽  
Tilahun Yemane ◽  
Elsah Tegene ◽  
David Lidstrom ◽  
Tefera Belachew
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
World Health ◽  
Body Fat Percentage ◽  
Substantial Agreement ◽  
Fat Percentage ◽  
Predictive Values ◽  
Prevalence Of Obesity ◽  
Sensitivity Specificity

Abstract Background Obesity is defined as unhealthy excess body fat, which increases the risk of premature mortality from noncommunicable diseases. Early screening and prevention of obesity is critical for averting associated morbidity, disability, and mortality. Ethiopia has been using the international (WHO’s) BMI cut-off for diagnosing obesity even though its validity among Ethiopian population was questioned. To address this problem, a new body mass index cut-off was developed for Ethiopian adults using population-specific data. However, its performance in diagnosing obesity has not been validated. Therefore, this study determined the performance of the newly developed Ethiopian and World Health Organization (WHO) BMI cut-offs in detecting obesity among Ethiopian adults. Methods A cross-sectional study was carried out among 704 employees of Jimma University from February to April 2015. The study participants were selected using simple random sampling technique based on their payroll. Data on sociodemographic variables were collected using an interviewer-administered structured questionnaire. Anthropometric parameters including body weight and height were measured according to WHO recommendation. Body fat percentage (BF%) was measured using the air displacement plethysmography (ADP) after calibration of the machine. The diagnostic accuracy of the WHO BMI cut-off (≥ 30 kg/m2) for obesity in both sexes and Ethiopian BMI cut-off (> 22.2 kg/m2 for males and >  24.5 kg/m2 for females) were compared to obesity diagnosed using ADP measured body fat percentage (> 35% for females and >  25% for males). Sensitivity, specificity, predictive values, and kappa agreements were determined to validate the performance of the BMI cut-offs. Results In males, WHO BMI cut-off has a sensitivity of 5.3% and specificity of 99.4% (Kappa = 0.047) indicating a slight agreement. However, the Ethiopian cut-off showed a sensitivity of 87.5% and specificity of 87.7% (Kappa = 0.752) indicating a substantial agreement. Similarly, in females, the WHO BMI cut-off showed a sensitivity of 46.9%, while its specificity was 100% (Kappa = 0.219) showing a fair agreement. The Ethiopian BMI cut-off demonstrated a sensitivity 80.0% and a specificity 95.6% (Kappa = 0.701) showing a substantial agreement. The WHO BMI cut-off underestimated the prevalence of obesity by a maximum of 73.7% and by a minimum of 28.3% among males, while the values for underestimation ranged from 31.4–54.1% in females. The misclassification was minimal using the newly developed Ethiopian BMI cut-off. The prevalence of obesity was underestimated by a maximum of 9.2% and overestimated by a maximum of 6.2%. The WHO BMI cut-off failed to identify nearly half (46.6%) of Ethiopian adults who met the criteria for obesity using BF% in the overall sample. Conclusions The findings suggest that WHO BMI cut-off (≥ 30 kg/m2) is not appropriate for screening obesity among Ethiopian adults. The newly developed Ethiopian BMI cut-off showed a better performance with excellent sensitivity, specificity, predictive values, and agreement indicating the diagnostic significance of it use as a simple, cost-effective, and valid indicator in clinical and community setups.

scholarly journals The effect of physical activity intensity on Body Mass Index and Body Fat Percentage

2015 ◽  
Vol 25 (suppl_3) ◽  
Author(s):  
H Radasevic ◽  
Z Sostar ◽  
S Jelusic ◽  
I Portolan Pajic ◽  
A Mestric ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Physical Activity Intensity ◽  
Fat Percentage ◽  
Activity Intensity
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