Prediction of body composition in anorexia nervosa: Results from a retrospective study.

BACKGROUND & AIMS: The assessment of body composition is crucial in evaluating nutritional status in female subjects with anorexia nervosa (AN) and improving their clinical management. The aim of this retrospective study was to assess the accuracy of selected BIA (bioimpedance analysis) equations for fat-free mass (FFM) in female AN subjects and to formulate a specific equation for these subjects. METHODS: Eighty-two restrictive female AN subjects (age 20.5 ± 3.7 yrs, BMI 15.7 ± 1.7 kg/m2) were studied. Body composition was determined with dual-energy X-ray absorptiometry (DXA) and estimated by BIA using five different equations. Linear correlation analysis was carried out to evaluate the association of FFM with selected variables. Multiple regression analysis was used to formulate specific equations to predict FFM in AN. RESULTS: All predictive equations underestimated FFM at the population level with a bias from -5.6 to -11.7%, while the percentage of accurate predictions varied from 12.2% to 35.4%. More interestingly, multiple regression analysis clearly indicates that, in addition to weight, ZI100 or RI also emerged as independent predictors of DXA-derived FFM, increasing the prediction power of the equation well above that observed with anthropometric characteristics only. CONCLUSIONS: This study shows that the selected predictive BIA equations considered exhibit an insufficient accuracy at the population and the individual level. Predictive formulas based on body weight plus BIA parameters such as RI and ZI100 offer a rather accurate prediction of FFM (with high R squared).

Segmental bioimpedance analysis in professional cyclists during a three week stage race.

Bioelectrical impedance analysis has been widely used in the clinical and sport areas because it is a safe, non-invasive, rapid and inexpensive technique that evaluates some electrical properties of the body, such as resistance (R), reactance (X c ) and phase angle (PhA). The aim of this study is to evaluate body composition changes in professional cyclists, participating at the Giro D'Italia 2012, a three week stage race, and in particular PhA modifications as an expression of fat free mass nutritional status. Data were collected at the beginning, in the middle and at the end of the competition. Body weight, circumferences, skinfold thickness and BIA variables (total and segmental body) were measured. Body composition, measured by skinfold thickness, changed during the competition: fat free mass increased, but not significantly, in the middle and at the end of the competition, whereas fat mass significantly decreased versus the baseline in the middle and at the end of the competition. The total PhA did not significantly change in the middle of the competition but was significantly reduced at the end. The arm PhA did not change significantly at both times of the competition, whereas a significant reduction was reported for leg PhA in the middle and at the end of the competition. These results suggest the use of bioimpedance analysis, in particular PhA measurement, to monitor athletes' fat free mass characteristics during medium- and long-term competitions.