Precise estimation of carcass fat from total body water in rats and mice. 1985

J E Cox, and W B Laughton, and T L Powley

We investigated the utility of carcass water for predicting adiposity in a sample of 373 rats and mice from nine studies involving several models of obesity and experimental manipulations. A single regression equation was derived for estimating percentage carcass fat--%FAT predicted = -1.272 X %WATER + 95.96 (r = -.988). The function is linear across the range of %FAT observed (6.6% to 68.8%) and fits very well the data of each of the nine experiments. Comparisons between this function and the Lee Index as measures of obesity indicate, by contrast, the considerable imprecision of the latter method. Because studies in our analysis employed formalin fixation, we also provide an equation for use with unfixed tissue. This corrected function accounts for 97.8% of the variance in independent data from 19 published reports. We suggest that both of the functions presented here have general applicability for precise determination of body composition of rats and mice and, further, that the body water analysis offers significant advantages in terms of reduced time and expense.

UI MeSH Term Description Entries
D008055 Lipids A generic term for fats and lipoids, the alcohol-ether-soluble constituents of protoplasm, which are insoluble in water. They comprise the fats, fatty oils, essential oils, waxes, phospholipids, glycolipids, sulfolipids, aminolipids, chromolipids (lipochromes), and fatty acids. (Grant & Hackh's Chemical Dictionary, 5th ed) Lipid
D008297 Male Males
D009765 Obesity A status with BODY WEIGHT that is grossly above the recommended standards, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001823 Body Composition The relative amounts of various components in the body, such as percentage of body fat. Body Compositions,Composition, Body,Compositions, Body
D001834 Body Water Fluids composed mainly of water found within the body. Water, Body
D004195 Disease Models, Animal Naturally-occurring or experimentally-induced animal diseases with pathological processes analogous to human diseases. Animal Disease Model,Animal Disease Models,Disease Model, Animal
D005260 Female Females
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D051379 Mice The common name for the genus Mus. Mice, House,Mus,Mus musculus,Mice, Laboratory,Mouse,Mouse, House,Mouse, Laboratory,Mouse, Swiss,Mus domesticus,Mus musculus domesticus,Swiss Mice,House Mice,House Mouse,Laboratory Mice,Laboratory Mouse,Mice, Swiss,Swiss Mouse,domesticus, Mus musculus

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