scholarly journals Falciform fat:femur length ratio provides a novel method for objective postmortem estimation of total body fat in overweight and obese cats

2022 ◽  
pp. 104063872110710
Author(s):  
Cecilia Ley ◽  
Alexandra T. Leijon ◽  
Tora E. Nyberg ◽  
Lisa M. Lindström ◽  
Charles J. Ley
Keyword(s):  
Body Fat ◽  
Visual Assessment ◽  
Subjective Assessment ◽  
Overweight And Obesity ◽  
Postmortem Examination ◽  
The Body ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body ◽  
Animal Size

Determination of the nutritional condition, including estimation of amounts of total body fat (tBF), at routine postmortem examination of cats is typically based on subjective visual assessment. Subjective assessment may result in uncertainties regarding degree of overweight, and objective methods that provide a numerical value reflecting the tBF could be valuable to accurately judge excess body fat. We investigated if the falciform fat pad weight (FFPW) was correlated to tBF and could be used to detect overweight and obesity in cats. The FFPW and the femur length (FL) were recorded at postmortem examination in 54 cats and the FFPW:FL ratio (FFR) calculated. Each cat was additionally assigned to a fat category (FC) according to subjective assessment. Computed tomography was used to determine tBF as the body fat percentage (%BF), the body fat volume (BFV), and BFV normalized to animal size (nBFV) in 39 cats. There was strong correlation between the FFPW and the BFV ( r = 0.888) and between the FFR and the nBFV ( r = 0.897). The correlation between the nBFV and %BF was very strong ( r = 0.974). Using a lower FFR cutoff value of 3.5 for obesity and 1.6 for overweight, there was a discrepancy in FC between using the FFR and subjective assessment in 6 of 54 cats (11%). We conclude that the FFPW increases proportionally with tBF and that the FFR provides a method for objective tBF estimation. We suggest introducing the FFR to feline postmortem examination protocols as an objective estimate of tBF.

scholarly journals Soft Drink Consumption in Young Mexican Adults Is Associated with Higher Total Body Fat Percentage in Men but Not in Women

Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1760
Author(s):  
Cesar Campos-Ramírez ◽  
Víctor Ramírez-Amaya ◽  
Liliana Olalde-Mendoza ◽  
Jorge Palacios-Delgado ◽  
Miriam Aracely Anaya-Loyola
Keyword(s):  
Body Fat ◽  
Soft Drink ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Soft Drink Consumption ◽  
Total Body Fat ◽  
Total Body

A high consumption of soft drinks (SDs) has been linked with the development of anthropometric and metabolic alterations. We evaluate the association between SD consumption and some anthropometric and metabolic variables. This study is an observational study, using a sample of 394 university students, of which 158 were men (40.1%) and 238 women (59.9%), between 18 and 30 years. An SD intake questionnaire provided the consumption of different SDs. The participants’ weight, height, and waist and hip circumferences were collected. Metabolic biomarkers were analyzed. The average intake of caloric SDs (CSDs) was 1193.6 ± 1534.8 mL/week and 84.5 ± 115.02 mL/week for non-caloric SDs (NCSDs). Sex differences were found in the amount of SD consumption and these statistical differences were driven by those men subjects with a high total body fat percentage (TBF%). In men, correlations were found between the intake of CSDs and the body mass index, waist and hip circumferences, TBF%, and visceral fat percentage. In woman, a correlation was found with glucose and triglycerides. The prediction model revealed that the intake of CSDs predicts TBF% and low-density lipoprotein only in men. A high amount of CSD consumption in men was associated with a high TBF%, and this may be predictive of future development of metabolic abnormalities.

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

scholarly journals Prediction of the <i>in vivo</i> Body Composition of Pigs Based on Cross- Sectional Region Analysis of Dual Energy X-Ray Absorptiometry (DXA) Scans

2002 ◽  
Vol 45 (6) ◽  
pp. 535-545
Author(s):  
A. D. Mitchell ◽  
A. Scholz ◽  
V. Pursel
Keyword(s):  
Body Composition ◽  
Chemical Analysis ◽  
Body Fat ◽  
The Body ◽  
Cross Sectional ◽  
Body Protein ◽  
Total Body Fat ◽  
Total Body ◽  
Dxa Scans

Abstract. The purpose of this study was to evaluate the use of a cross-sectional scan as an alternative to the total body DXA scan for predicting the body composition of pigs in vivo. A total of 212 pigs (56 to 138 kg live body weight) were scanned by DXA. The DXA scans were analyzed for percentage fat and lean in the total body and in 14 cross-sections (57.6 mm wide): 5 in the front leg/thoracic region, 4 in the abdominal region, and 5 in the back leg region. Regression analysis was used to compare total body and cross-sectional DXA results and chemical analysis of total body fat, protein and water. The relation (R2) between the percentage fat in individual slices and the percentage of total body fat measured by DXA ranged from 0.78 to 0.97 and by chemical analysis from 0.71 to 0.85, respectively. The relation between the percentage of lean in the individual slices and chemical analysis for percentage of total body protein and water ranged from 0.48 to 0.60 and 0.56 to 0.76, respectively. These results indicate that total body composition of the pig can be predicted (accurately) by performing a time-saving single-pass cross-sectional scan.

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 Seasonal change in body fat of the Hyrax Procavia capensis (Pallas, 1766) using a body fat ranking index

Koedoe ◽  
1985 ◽  
Vol 28 (1) ◽  
Author(s):  
L.J. Fourie ◽  
M.R. Perrin
Keyword(s):  
Seasonal Change ◽  
Body Fat ◽  
Seasonal Variations ◽  
Physiological Condition ◽  
The Body ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Procavia Capensis ◽  
Total Body ◽  
Ranking Index

Changes in the body fat content of the hyrax Procavia capensis were used as an indicator of physiological condition. Body fat rankings for the different sexes showed seasonal variations related to physiologically stressful periods (rutting, gestation and lactation). The subjective body fat rankings were correlated significantly with total body fat.

Assessment of Total Body Fat Percentage From Regional Spine and Femur DXA Measurements Among Chinese Women and Men

2007 ◽  
Vol 10 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Tian-Min Zhang ◽  
Hao Xu ◽  
Zhong-Man Yuan ◽  
Jia-Xuan Chen ◽  
Jian Gong ◽  
...  
Keyword(s):  
Body Fat ◽  
Chinese Women ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

scholarly journals Divergent selection for fat index in Pannon Ka rabbits: genetic parameters, selection response

2020 ◽  
Vol 28 (3) ◽  
pp. 129
Author(s):  
R. Kasza ◽  
ZS. Matics ◽  
ZS. Gerencsér ◽  
T. Donkó ◽  
I. Radnai ◽  
...  
Keyword(s):  
Body Fat ◽  
Heritability Estimate ◽  
Selection Response ◽  
Divergent Selection ◽  
The Body ◽  
Total Body Fat ◽  
Parent Groups ◽  
Selection For ◽  
Total Body ◽  
Zero Generation

<p>The objective of this study was to estimate the response to selection for total body fat content of rabbits measured by computer tomography (CT). A divergent selection experiment was performed using Pannon Ka rabbits, which were previously selected for number of kits born alive. The so-called zero generation consisted of 351 Pannon Ka rabbits, from which the index, total body fat volume (cm<sup>3</sup>) divided by the body weight (kg), was measured. Rabbits with low and high fat index values were selected to form the parent groups of the lean and fat lines, respectively. The lines consisted of 55-72 females and 35-47 males, depending on the line and generation. After three generations, the rabbits were evaluated by means of a single trait animal model. The fat index showed a moderate heritability estimate (0.28±0.03). The magnitude of the common litter effect was small (0.10±0.02). The breeding values averaged per generation provided slightly asymmetrical responses. Based on the results, the divergent selection was successful in confirming that CT is a very suitable method for performing selection for body composition traits.</p>

scholarly journals L Score as a Novel Anthropometric Measure for Obesity Screening in Adult Individuals: An Exploratory Study

2020 ◽  
Vol 8 (E) ◽  
pp. 60-64
Author(s):  
Devi Prasad Mohapatra ◽  
Jaya Prakash Sahoo ◽  
Madhusmita Mohanty Mohaptra ◽  
Sitanshu Sekhar Kar ◽  
Sridharan Kalyani ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Body Fat ◽  
Tertiary Care ◽  
Primary Objective ◽  
Overweight And Obesity ◽  
Rapid Screening ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Secondary Objective ◽  
Total Body

BACKGROUND: Obesity is one of today’s most neglected public health problems, affecting every region of the world. Early identification of increased weight gain among the population is paramount to prevent the attendant complications associated with obesity. OBJECTIVES: The primary objective of this study was to measure the distribution of L score in the representative population and the secondary objective was to identify an association between L score values and other measures of obesity such as body mass index, waist circumference, waist-to-height ratio, neck circumference (NC), and total body fat percentage. METHODS: This study was conducted in the departments of plastic surgery and endocrinology of a tertiary care institute. The L score (a measure of fullness of the lateral retromalleolar fossa in the lower limb) was assessed in all the participating individuals. Statistical analysis was performed using the Statistical Package for the Social Sciences version 19.0. p < 0.05 was considered as statistically significant in statistical analysis. RESULTS: Among the 50 participants taken in this study, 24 had L score 0, 15 had score 1, and 11 had score 2. The participants with L score 1 and 2 had higher obesity, higher NC, and more body fat percentage compared to those having score 0. All the participants with L score 2 were overweight and had central obesity. CONCLUSIONS: The L score measure has a potential for simple and rapid screening of at-risk population for overweight and obesity.

scholarly journals Development and Cross-Validation of Anthropometric Predictive Equations to Estimate Total Body Fat Percentage in Adult Women in Sri Lanka

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Nirmala Rathnayake ◽  
Gayani Alwis ◽  
Janaka Lenora ◽  
Sarath Lekamwasam
Keyword(s):  
Body Fat ◽  
Cross Validation ◽  
Body Fat Percentage ◽  
Adult Women ◽  
Fat Percentage ◽  
Predictive Equations ◽  
Total Body Fat ◽  
Group A ◽  
Total Body ◽  
Group B

Attempts have been made to estimate body fat using anthropometry, and most of them are country-specific. This study was designed to develop and cross-validate anthropometric predictive equations to estimate the total body fat percentage (TBFP) of Sri Lankan adult women. A cross-sectional study was conducted in Galle, Sri Lanka, with two groups: Group A (group for equation development) and Group B (cross-validation group) (n = 175 each) of randomly selected healthy adult women aged 30–60 years. TBFP (%) was quantified with total body DXA (TBFPDXA). Height (m), weight (kg), and skinfold thickness (SFT, mm) at six sites and circumferences (cm) at five sites were measured. In the first step, four anthropometric equations were developed based on the data obtained from multiple regression analyses (TBFPDXA = dependent variable and anthropometric measurements and age = independent variables) with Group A. They were developed on the basis of circumferences (TBFP1), SFTs (TBFP2), circumferences and SFTs (TBFP3), and highly significant circumferences and SFTs (r ≥ 0.6) (TBFP4). In the second step, the newly developed equations were cross-validated using Group B. Three equations (TBFP1, TBFP2, and TBFP4) showed the agreement with cross-validation criteria. There were no differences between TBFPDXA and TBFP estimated by these equations (p>0.05). They showed higher measurement concordance with TBFPDXA; correlation between measured TBFP with DXA and estimated with TBFP1, TBFP2, and TBFP4, respectively, was 0.80 (R2 = 0.65, SEE = 3.10), 0.83 (R2 = 0.69, SEE = 2.93), and 0.84 (R2 = 0.72, SEE = 2.78). Three anthropometric measurements based on predictive equations were developed and cross-validated to satisfactorily estimate the TBFP in adult women.

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