scholarly journals The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence

1990 ◽  
Vol 63 (2) ◽  
pp. 293-303 ◽  
Author(s):  
Paul Deurenberg ◽  
John J. L. Pieters ◽  
Joseph G. A. J. Hautvast
Keyword(s):  
Body Fat ◽  
Prediction Error ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
The Body ◽  
Lower Percentage ◽  
Body Density ◽  
Fat Percentage ◽  
Percentage Body Fat ◽  
Pubertal Boys

The relationship of skinfold thicknesses to body density and of skinfold thicknesses to densitometrically determined body fat was evaluated in a group of 378 boys and girls, aged 7–20 years. According to their maturation level, they were divided into a prepubertal, a pubertal and a post-pubertal group. In each maturation group boys were older, had higher body-weights and body heights, higher body densities, lower percentage body fat, higher waist:hips ratios and higher trunk:total skinfolds ratios than girls. Body density in each maturation level could be quite precisely predicted by skinfold thicknesses. In prepubertal and pubertal boys and girls but not in post-pubertal boys and girls, age was also an important predicting variable for body density. The assessment of percentage body fat from skinfold thicknesses had a prediction error of 3–5 %, which was highest in the prepubertal children. The prediction error is comparable to the prediction error of percentage body fat from skinfold thicknesses in adults, as reported in the literature. Only in post-pubertal boys and girls was the waist:hip ratio correlated with measures of body fatness. Moreover, only in the post-pubertal boys and in the pubertal and post-pubertal girls was the waist:hips ratio correlated with another measure of body fat distribution, the trunk:total skinfold ratio. The relative amount of internal body fat was found to be higher in the younger maturation groups. It is concluded that at younger ages the waist:hips ratio is a poor indicator of body fat distribution.

scholarly journals Differences in Adiposity Profile and Body Fat Distribution between Forwards and Backs in Sub-Elite Spanish Female Rugby Union Players

2021 ◽  
Vol 10 (23) ◽  
pp. 5713
Author(s):  
Dolores Escrivá ◽  
Jordi Caplliure-Llopis ◽  
Inmaculada Benet ◽  
Gonzalo Mariscal ◽  
Juan Vicente Mampel ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Distribution ◽  
Rugby Union ◽  
Body Fat Distribution ◽  
The Body ◽  
Fat Free Mass ◽  
Fat Percentage ◽  
Total Fat

The purpose of this study was to analyze the adiposity profile and the body fat distribution in 56 sub-elite female rugby union players involved in the Spanish National Women’s Rugby Union Championships. The participants included in this study, which was the first to analyze sub-elite players, show thinner skinfolds, lower fat mass, and lesser fat percentage than previously reported for elite female rugby union players. Forwards were heavier and had higher body mass index (BMI) and fat mass, thicker skinfolds, and higher fat percentage than back players. Forwards also possessed significantly greater total fat-free mass than backs. All these differences were applicable only to players under 25 years of age. A negative correlation between age and both abdominal and lower extremity fat was found in forward players but not in the backs. Both Yuhasz and Faulkner equations tended to underestimate fat percentage in comparison to Reilly equation. Although Yuhasz equation provided higher systematic error, random error was lower in comparison to Faulkner equation. This study shows the relevance of analyzing and monitoring adiposity in female rugby union players to optimize adaptation to the sports requirements of different playing positions and age.

scholarly journals Changes in Body Fat Distribution in Antiretroviral-Naive HIV-Positive Individuals Initiating Current ART Regimens

2018 ◽  
Vol 104 (3) ◽  
pp. 900-905 ◽  
Author(s):  
Juan Tiraboschi ◽  
Antonio Navarro-Alcaraz ◽  
Dolors Giralt ◽  
Carmen Gomez-Vaquero ◽  
Maria Saumoy ◽  
...  
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
The Body ◽  
Strand Transfer ◽  
Mass Ratio ◽  
Total Fat ◽  
Fat Mass Ratio

Abstract Objectives To describe the changes in body fat distribution (BFD) occurring over 60 months in a group of antiretroviral therapy (ART)-naive individuals starting different antiretroviral regimens. Methods A prospective ongoing fat change assessment including clinical evaluation and dual X-ray absorptiometry scan is being conducted in all consecutive patients initiating ART from January 2008. Arm, leg, trunk, and total fat as well as fat mass ratio were determined. Results A total of 146 patients were included (80% male, 40% MSM). Mean age was 44 years, HIV-1 RNA was 4.98 log10 copies/mL, and CD4 count was 254 cells/μL. The most common initial antiretroviral combination included non-nucleoside reverse transcription inhibitor (NNRTI) drugs followed by protease inhibitor (PI) and integrase strand transfer inhibitor (INSTI)-based regimens. At month 36, an increase was seen in the body mass index (BMI), total fat, trunk fat, and limb fat. The fat mass ratio (FMR) also showed a significant increase in both men and women (P = 0.001). In patients receiving NNRTI- or INSTI-based regimens (but not PIs), there was a marginal but statistically significant increase in the FMR (0.10 and 0.07, respectively; P = 0.01). Sixty-two subjects completed 60 months of follow-up. FMR showed a significant increase even in the PI group at this time point (P < 0.03). Conclusions We observed a significant increase in the fat and lean body mass in all compartments and treatment groups over 36 and 60 months. Clinically irrelevant differences were found in fat distribution regardless of the treatment group and baseline characteristics. The data suggest that current antiretroviral regimens have little impact on BFD during the first years of treatment.

scholarly journals Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

2019 ◽  
Vol 20 (5) ◽  
pp. 373-380
Author(s):  
Wagner Luis Ripka ◽  
Eduardo Esmanhoto ◽  
Leandra Ulbricht
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Reference Method ◽  
Fat Distribution ◽  
Overweight And Obesity ◽  
The Body ◽  
Metropolitan Region ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Lms Method

Percentile indicators, aided in its development by biomedical engineering, relative to body fat distribution in adolescents are able to help health professionals in better diagnosing overweight and obesity. The aim of this study was to calculate percentile values to body fat in adolescents aged between 12 and 17 years from the Curitiba-PR and its metropolitan region composed of 29 municipalities, having as reference method the dual energy x-ray absorptiometry (DXA) technology. After applying inclusion criteria for the adolescents, anthropometric measures of body fat and stature were taken, as well as evaluation of the body composition through DXA. The statistical analysis was grounded in the presentation of percentilic values developed by Cole and Green’s LMS method, where L stands for the skewness curve, M for the mean curve and S for the variance curve. In total, 390 boys were evaluated. The fat percentage values tend to show a decrease between the ages of 12 (22.8±5.1%) and 16 years (17.9±2.9%). Moreover, for the superior percentiles: 90th and 97th re-start to increase at the age of 17 after showing a decrease in the previous years. The L, M and S parameters, altogether with the percentiles created to evaluate body fat are interesting tools to tendency and evolution analyses, as well as to enable inferences to be made about the body composition of adolescents.

scholarly journals Prediction equations for the estimation of body composition in the elderly using anthropometric data

1994 ◽  
Vol 71 (6) ◽  
pp. 823-833 ◽  
Author(s):  
Marjolein Visser ◽  
Ellen Van Den Heuvel ◽  
Paul Deurenberg
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
The Elderly ◽  
The Body ◽  
Elderly Subjects ◽  
Body Density ◽  
Prediction Equations ◽  
Anthropometric Data ◽  
Percentage Body Fat ◽  
The Relationship

To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.

scholarly journals Genome-Wide Association Study of Body Fat Distribution identifies Novel Adiposity Loci and Sex-Specific Genetic Effects

2017 ◽  
Author(s):  
Mathias Rask-Andersen ◽  
Torgny Karlsson ◽  
Weronica E Ek ◽  
Åsa Johansson
Keyword(s):  
Body Fat ◽  
Genome Wide Association Study ◽  
Metabolic Diseases ◽  
Association Studies ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
The Body ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

Body mass and body fat composition are of clinical interest due to their links to cardiovascular- and metabolic diseases. Fat stored in the trunk has been suggested as more pathogenic compared to fat stored in other compartments of the body. In this study, we performed genome-wide association studies (GWAS) for the proportion of body fat distributed to the arms, legs and trunk estimated from segmental bio-electrical impedance analysis (sBIA) for 362,499 individuals from the UK Biobank. A total of 97 loci, were identified to be associated with body fat distribution, 40 of which have not previously been associated with an anthropometric trait. A high degree of sex-heterogeneity was observed and associations were primarily observed in females, particularly for distribution of fat to the legs or trunk. Our findings also implicate that body fat distribution in females involves mesenchyme derived tissues and cell types, female endocrine tissues a well as several enzymatically active members of the ADAMTS family of metalloproteinases, which are involved in extracellular matrix maintenance and remodeling.

scholarly journals Circulating betatrophin/ANGPTL8 levels correlate with body fat distribution in individuals with normal glucose tolerance but not those with glucose disorders

2019 ◽  
Author(s):  
Jing Zheng ◽  
Juan Liu ◽  
Beverly S Hong ◽  
Yanbing Li
Keyword(s):  
Adipose Tissue ◽  
Glucose Tolerance ◽  
Body Fat ◽  
Lower Limb ◽  
Fat Distribution ◽  
Normal Glucose Tolerance ◽  
Body Fat Distribution ◽  
The Body ◽  
Enzyme Linked Immunosorbent Assay ◽  
Normal Glucose

Abstract Background: The relationship between betatrophin/ANGPTL8 and obesity has been investigated using body mass index (BMI); however, since BMI reflects overall adiposity rather than body fat distribution, it remains unclear whether fat deposition in different areas of the body affects betatrophin expression. Here, we investigated the correlation between circulating betatrophin levels and body fat distribution in patients with different glucose tolerance. Methods: In 128 participants with impaired glucose tolerance (IGT; n = 64) or normal glucose tolerance (NGT; n = 64), we measured circulating betatrophin levels by enzyme-linked immunosorbent assay and body fat distribution (subcutaneous, visceral, and limb fat) using magnetic resonance imaging (MRI) and a body fat meter. Results: After controlling for age, sex, and BMI, betatrophin was correlated positively with visceral adipose tissue-to-subcutaneous adipose tissue ratio ( VAT/SAT ratio; r = 0.339, p = 0.009) and negatively with body fat ratio (BFR; r = -0.275, p = 0.035), left lower limb fat ratio (LLR; r = -0.330, p = 0.011), and right lower limb fat ratio (RLR; r = -0.288, p = 0.027) in the NGT group, with these correlations remaining after controlling for triglycerides. VAT/SAT ratio (standardized β = 0.419, p = 0.001) was independently associated with serum betatrophin levels; however, betatrophin was not associated with body fat distribution variables in the IGT group. Conclusions: Circulating betatrophin levels correlated positively with VAT/SAT ratio and negatively with lower limb fat, but not subcutaneous or upper limb fat, in individuals with normal glucose tolerance. Thus, betatrophin may be a poten­tial biomarker for body fat distribution in individuals without glucose disorders.

scholarly journals Gene–Environment Interactions on Body Fat Distribution

2019 ◽  
Vol 20 (15) ◽  
pp. 3690 ◽  
Author(s):  
Xiang Li ◽  
Lu Qi
Keyword(s):  
Clinical Trials ◽  
Body Fat ◽  
Randomized Clinical Trials ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
The Body ◽  
Gene Environment ◽  
Reduced Physical Activity ◽  
Prevalence Of Obesity ◽  
Diet And Lifestyle

The prevalence of obesity has been increasing markedly in the U.S. and worldwide in the past decades; and notably, the obese populations are signified by not only the overall elevated adiposity but also particularly harmful accumulation of body fat in the central region of the body, namely, abdominal obesity. The profound shift from “traditional” to “obesogenic” environments, principally featured by the abundance of palatable, energy-dense diet, reduced physical activity, and prolonged sedentary time, promotes the obesity epidemics and detrimental body fat distribution. Recent advances in genomics studies shed light on the genetic basis of obesity and body fat distribution. In addition, growing evidence from investigations in large cohorts and clinical trials has lent support to interactions between genetic variations and environmental factors, e.g., diet and lifestyle factors, in relation to obesity and body fat distribution. This review summarizes the recent discoveries from observational studies and randomized clinical trials on the gene–environment interactions on obesity and body fat distribution.

scholarly journals Associations of nicotine dependence and fat distribution in Chinese male adults: a cross-sectional study in Lanxi, China

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e022465
Author(s):  
Chen Wei ◽  
Sunyue Ye ◽  
Jessica Ruolin Sheng ◽  
Xiaoguang Ma ◽  
Yuan Ru ◽  
...  
Keyword(s):  
Nicotine Dependence ◽  
Body Fat ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Whole Body ◽  
Fat Percentage ◽  
Central Fat ◽  
Gynoid Fat ◽  
The Impact ◽  
Chinese Male

IntroductionPrevious studies have showed association between smoking and central fat distribution. However, the impact of smoking on whole body fat distribution, particularly peripheral fat distribution remains unclear.MethodsNicotine dependence was assessed in a total of 1264 male adults aged 18–80 years using the Fagerström Test for Nicotine Dependence (FTND). Smoking status was categorised as non-smokers, former and current smokers with very low, low/moderate, or high FTND scores. Body fat distribution was determined using the dual energy X-ray absorptiometry and anthropometric measurements. Multivariable linear regression models were applied to examine the adjusted associations between body fat distribution and smoking in all participants, and its association with FTND scores in the current smokers.ResultsGreater waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), trunk fat percentage (%TF), android fat percentage (%AF) and android-to-gynoid fat mass ratio (AOI); but lower legs fat percentage (%LegF), limb fat percentage (%LimbF) and gynoid fat percentage (%GF) were found in current smokers with high FTND scores compared with non-smokers. In current smokers aged 60 years or older, FTND scores had positive associations with WC, WHR, WHtR, %TF, %AF and AOI, and negative associations with %LegF, %LimbF and %GF.ConclusionsNicotine dependence was positively associated with central fat distribution and negatively associated with peripheral fat distribution in Chinese male adults, particularly in those older or heavy smokers, and these associations were independent from body mass index, which might be due to long exposure to smoking.

Anthropometric Parameters of Amateur Boxers: Comparability and Sensitivity of Equations used to Calculate Body Density

2016 ◽  
Vol 7 (2) ◽  
pp. 109-116
Author(s):  
Philip Davis ◽  
Ralph Beneke
Keyword(s):  
Body Fat ◽  
Iliac Crest ◽  
High Weight ◽  
The Body ◽  
Body Density ◽  
Fat Percentage ◽  
Anthropometric Parameters ◽  
Density Equation ◽  
Weight Groups ◽  
Medium Weight

IIntroduction. The comparability and validity of equations used to calculate body density and body fat in boxers is unknown. Material and methods. Twenty-one amateur boxers covering all 10 weight categories had seventeen anthropometric measurements taken. Comparison was made between four different percentage body fats based on different body density equations and five different sum of x values. Results. The results suggest that low and medium-weight boxers are similar in terms of morphological (mesomorph-ectomorph) and anthropometric characteristics, contrasting against the ‘different breed’ of the high-weight group (mesomorph-endomorph). Results from different body density equations differ by as much as 7.6%. The body density equation of Lohman is the most reliable at detecting differences between weight groups. Conclusion. Priority should be given to measuring subscapular, abdominal and thigh skin folds as they have largest variation between weight categories. Using the sum of 6a (triceps, subscapular, bicep, iliac crest, abdominal and thigh) as opposed to the total sum of 8 improves data collection speed, comparability and validity when making comparisons over time and between boxers. The use of a body fat percentage should only be use as a last resort for feedback of results in layman’s terms and its limitations made clear.

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