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PURPOSE This study aimed to develop and validate Elastic Net-based predictive models using simple anthropometric measurements to estimate dual-energy X-ray absorptiometry (DXA)-derived body composition variables in older women. METHODS Body mass, skinfolds, circumferences, and DXA measures of total and regional fat m...
This study examined the agreement between commonly used bioelectrical impedance analysis (BIA) prediction equations and dual-energy X-ray absorptiometry (DXA) for tracking resistance training-induced changes in fat-free mass (FFM) in older women. One hundred and five older women (68.4 ± 5.8 years) completed a 24-week s...
Results suggest that both the 10RM and 15RM RT protocols significantly increase estimated SMM in older women, with no significant differences between training conditions.
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