Validation of a skinfold based index for tracking proportional changes in lean mass

Background: The lean mass index (LMI) is a new empirical measure that tracks within-subject proportional changes in body mass adjusted for changes in skinfold thickness. Objective: To compare the ability of the LMI and other skinfold derived measures of lean mass to monitor changes in lean mass. Methods: 20 elite rugby union players undertook full anthropometric profiles on two occasions 10 weeks apart to calculate the LMI and five skinfold based measures of lean mass. Hydrodensitometry, deuterium dilution, and dual energy x ray absorptiometry provided a criterion choice, four compartment (4C) measure of lean mass for validation purposes. Regression based measures of validity, derived for within-subject proportional changes through log transformation, included correlation coefficients and standard errors of the estimate. Results: The correlation between change scores for the LMI and 4C lean mass was moderate (0.37, 90% confidence interval −0.01 to 0.66) and similar to the correlations for the other practical measures of lean mass (range 0.26 to 0.42). Standard errors of the estimate for the practical measures were in the range of 2.8–2.9%. The LMI correctly identified the direction of change in 4C lean mass for 14 of the 20 athletes, compared with 11 to 13 for the other practical measures of lean mass. Conclusions: The LMI is probably as good as other skinfold based measures for tracking lean mass and is theoretically more appropriate. Given the impracticality of the 4C criterion measure for routine field use, the LMI may offer a convenient alternative for monitoring physique changes, provided its utility is established under various conditions.

[1]  W. D. van Marken Lichtenbelt,et al.  Body composition changes in bodybuilders: a method comparison. , 2004, Medicine and science in sports and exercise.

[2]  T Olds,et al.  The evolution of physique in male rugby union players in the twentieth century , 2001, Journal of sports sciences.

[3]  R. Ross,et al.  Erratum: Total-body skeletal muscle mass: Development and cross-validation of anthropometric prediction models (American Journal of Clinical Nutrition (2000) 72 (796-803)) , 2001 .

[4]  S B Heymsfield,et al.  Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. , 2000, The American journal of clinical nutrition.

[5]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[6]  T. Fukunaga,et al.  Originals) Anthropometric and Physiological Factors Predicting 2000 m Rowing Ergometer Performance Time , 2000 .

[7]  Comparison of two hydrodensitometric methods for estimating percent body fat. , 2000, Journal of applied physiology.

[8]  P. Davies,et al.  Assessment of foot-to-foot bioelectrical impedance analysis for the prediction of total body water , 1998, European Journal of Clinical Nutrition.

[9]  J. Hilsted,et al.  Body composition analysis by DEXA by using dynamically changing samarium filtration. , 1997, Journal of applied physiology.

[10]  Kevin Norton,et al.  Measurement techniques in anthropometry , 1996 .

[11]  S. Heymsfield,et al.  Human Body Composition , 1996 .

[12]  R. Baumgartner,et al.  Body composition of humans: comparison of two improved four-compartment models that differ in expense, technical complexity, and radiation exposure. , 1990, The American journal of clinical nutrition.

[13]  T J Housh,et al.  Validity of anthropometric equations for determination of changes in body composition in adult males during training. , 1989, The Journal of sports medicine and physical fitness.

[14]  E. Ravussin,et al.  Energy expenditure by doubly labeled water: validation in humans and proposed calculation. , 1986, The American journal of physiology.

[15]  T. Housh,et al.  Estimation of body density in adolescent athletes. , 1984, Human biology.

[16]  W. Sinning,et al.  The anthropometric estimation of body density and lean body weight of male athletes. , 1973, Medicine and science in sports.

[17]  R. Girandola,et al.  Validity of skinfold and girth assessment for predicting alterations in body composition. , 1970, Journal of applied physiology.

[18]  G. Forbes Techniques for Measuring Body Composition. , 1962 .

[19]  W. Siri Body volume measurement by gas dilution , 1961 .

[20]  Josef Brozek,et al.  Techniques for measuring body composition , 1961 .