Nana, A., Slater, G. J, Hopkins, W., Halson, S., Martin, D. T, West, N. P & Burke, LM. (2016). Importance of standardized DXA protocol for assessing physique changes in athletes. International Journal of Sport Nutrition and Exercise Metabolism,26(3), 259-267. United States of America: Human Kinetics, Inc.. Retrieved from https://doi.org/10.1123/ijsnem.2013-0111
Purpose: The implications of undertaking DXA scans using best practice protocols (subjects fasted and rested) or a less precise but more practical protocol in assessing chronic changes in body composition following training and a specialized recovery technique were investigated. Methods: Twenty-one male cyclists completed an overload training program, in which they were randomized to four sessions per week of either cold water immersion therapy or control groups. Whole-body DXA scans were undertaken with best practice protocol (Best) or random activity protocol (Random) at baseline, after 3 weeks of overload training, and after a 2-week taper. Magnitudes of changes in total, lean and fat mass from baseline-overload, overload-taper and baseline-taper were assessed by standardization (Δmean/SD). Results: The standard deviations of change scores for total and fat-free soft tissue mass (FFST) from Random scans (2–3%) were approximately double those observed in the Best (1–2%), owing to extra random errors associated with Random scans at baseline. There was little difference in change scores for fat mass. The effect of cold water immersion therapy on baseline-taper changes in FFST was possibly harmful (-0.7%, 90% confidence limits ±1.2%) with Best scans but unclear with Random scans (0.9%, ±2.0%). Both protocols gave similar possibly harmful effects of cold water immersion therapy on changes in fat mass (6.9%, ±13.5% and 5.5%, ±14.3%, respectively). Conclusions: An interesting effect of cold water immersion therapy on training-induced changes in body composition might have been missed with a less precise scanning protocol. DXA scans should be undertaken with Best.
Mary MacKillop Institute for Health Research
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