OBJECTIVE To explore gender and racial profiling of percentage body fat of 1136 urban South African children attending public schools in Pretoria Central. METHODS This is a cross-sectional survey of 1136 randomly selected children (548 boys and 588 girls) aged 9-13 years in urban (Pretoria Central) South Africa. Body mass, stature, skinfolds (subscapular and triceps) were measured. Data were ...

In this study two separate sets of data were used to develop prediction equations for Marbling Scores (MS) from actual percentage intramuscular fat. All regression parameters were significantly (P<.01) different from zero. Model-I explained only 49% of the variation in MS as compared with 83% for modelII. When these equations were validated on an independent data set, the correlations between t...

The aim of the present study was to estimate genetic and phenotypic parameters of milk production traits in the first and second lactations of Romanian Simmental dairy cattle. For the estimation of variance, heritability, genetic and phenotypic correlations among milk yield, fat yield, protein yield, and percentages of fat and protein, 3400 first and second lactation records over a period of fi...

OBJECTIVE To investigate whether bioelectrical impedance analysis could be used to identify overweight individuals at increased cardiometabolic risk, defined as the presence of metabolic syndrome and/or diabetes. DESIGN AND METHODS Cross-sectional study of a Scottish population including 1210 women and 788 men. The diagnostic performance of thresholds of percentage body fat measured by bioele...

BACKGROUND In studies of adult humans and in animal models, dietary intakes of the macronutrients, particularly fat, are related to body composition; however, data on children are more scarce. OBJECTIVE We sought to determine whether diet composition is related to percentage body fat in children aged 1.5-4.5 y. DESIGN In 77 preschool children, a 4-d weighed-food record was used to determine...

OBJECTIVE To compare two methods of classifying obesity based on body mass index and body fat percentage. METHODS The cross-sectional study was conducted from November 2012 to August 2013 at Jinnah Postgraduate Medical Centre, Karachi. Male and female volunteers between the ages 15-65 years were selected using simple random sampling. They were classified into different groups for body mass in...

From the last line Gaines and Davidson (I9~3) derived the formula, F C M = M (.4q-.I5 f) or F C M = . 4 M-+-I5 F, in which FCM is milk energy in terms of pounds of natural whole cows' milk of 4 percent fat content, M is milk in pounds and F is milk fat in pounds. Recently, Bonnier, Hansson and Jarl (I946) report that the regression of milk energy per unit milk on fat percentage is not linear an...

Data on production performance of 200 animals maintained at University Livestock Farm, Kerala Agricultural University, Mannuthy and Cattle Breeding Farm, Thumburmuzhi were used for the study. Among the eight economically important traits [305 day milk yield, fat percentage, protein percentage, SNF(Solids not fat), total solids, peak yield, days to attain peak yield and AFC(Age at first calving)...

Body Mass Index (BMI) is a weight-to-height ratio used as a quick and easy guide to obesity classification. BMI of 30 or greater is indicative of excess body fat and has been labelled as increasing the risk of degenerative diseases such as cardiovascular disease and diabetes. Body fat percentage is also assessed through skinfold thickness measurement.. The aim of this study was to estimate the ...

BACKGROUND Elevated body mass index (BMI), higher waist-to-hip ratio, and body dissatisfaction have been investigated as risk factors for the development of bulimic symptoms. Central fat deposition may be particularly relevant to eating disorders. To our knowledge, the longitudinal relations between fat distribution, body dissatisfaction, and loss-of-control (LOC) eating development and mainten...