London Sport Institute, Middlesex University, London, United Kingdom; and.
Department of Nutrition, Food Science and Physiology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
J Strength Cond Res. 2024 Jul 1;38(7):e366-e372. doi: 10.1519/JSC.0000000000004773. Epub 2024 Apr 9.
Wilson, LJ and Curtis, C. Running event, age, and competitive level as predictors of dual-energy X-ray absorptiometry-derived body composition and bone health markers in female runners. J Strength Cond Res 38(7): e366-e372, 2024-The aim of this study was to assess the impact of running discipline, competitive level (COMP), and age on body composition measures in female athletes. A total of n = 51 female runners (age: 30.9 ± 5.7 years, stature: 166.7 ± 5.7 cm, and body mass (BM): 57.1 ± 8.2 kg) completed a full-body dual-energy x-ray absorptiometry (DXA) scan in a cross-sectional design. One-way ANOVA or Kruskal-Wallis was used to identify differences in DXA measures and independent variables. Stepwise regression determined the contribution of independent variables on DXA measures. Body fat percentage (BF%) and fat mass (FM) differed based on COMP (BF%: H (2) = 17.451; FM: H (2) = 17.406, both p ≤ 0.0001). Competitive level modestly predicted BF% and FM (BF%: R2adj = 0.316, F (1,50) = 22.660; FM: R2adj = 0.300, F (1,50) = 21.029, both p ≤ 0.0001). Bone mineral density (BMD) and BMD Z-score (BMD Z ) did not differ between age, running discipline, or COMP (age: BMD: F (2,50) = 2.825, BMD Z : F (2,50) = 2.215; running discipline: BMD: F (3,50) = 1.145, BMD Z : F (3,50) = 1.474; COMP: BMD: F (2,50) = 0.074, BMD Z : F (2,50) = 1.297, all p ≤ 0.05). Age and running discipline modestly predicted BMD and BMD Z (BMD: R2adj = 0.179, F (1,50) = 5.264; BMD Z : R2adj = 0.173, F (1,50) = 4.545, both p ≤ 0.05). These findings indicate COMP may be a predictor of BF% and FM. Age and running discipline appear predictors of bone health markers. Such findings may enable medical and sport science practitioners to tailor interventions relating to realization of training adaptations, performance, and health.
威尔逊，LJ 和柯蒂斯，C。跑步项目、年龄和竞技水平是女性跑步者双能 X 射线吸收法（DXA）衍生体成分和骨骼健康指标的预测因素。J 强能力研究 38(7):e366-e372,2024-本研究旨在评估跑步学科、竞技水平（COMP）和年龄对女性运动员体成分测量的影响。共有 51 名女性跑步者（年龄：30.9 ± 5.7 岁，身高：166.7 ± 5.7 厘米，体重（BM）：57.1 ± 8.2 公斤）采用横断面设计完成了全身双能 X 射线吸收法（DXA）扫描。单因素方差分析或 Kruskal-Wallis 用于确定 DXA 测量值和自变量之间的差异。逐步回归确定了自变量对 DXA 测量值的贡献。体脂百分比（BF%）和脂肪量（FM）因 COMP 而异（BF%：H（2）=17.451；FM：H（2）=17.406，均 p≤0.0001）。竞技水平对 BF%和 FM 有一定的预测作用（BF%：R2adj=0.316，F（1,50）=22.660；FM：R2adj=0.300，F（1,50）=21.029，均 p≤0.0001）。骨矿物质密度（BMD）和 BMD Z 评分（BMD Z）在年龄、跑步项目或 COMP 之间没有差异（年龄：BMD：F（2,50）=2.825，BMD Z：F（2,50）=2.215；跑步项目：BMD：F（3,50）=1.145，BMD Z：F（3,50）=1.474；COMP：BMD：F（2,50）=0.074，BMD Z：F（2,50）=1.297，均 p≤0.05）。年龄和跑步项目对 BMD 和 BMD Z 有一定的预测作用（BMD：R2adj=0.179，F（1,50）=5.264；BMD Z：R2adj=0.173，F（1,50）=4.545，均 p≤0.05）。这些发现表明，COMP 可能是 BF%和 FM 的预测因素。年龄和跑步项目似乎是骨骼健康指标的预测因素。这些发现可能使医学和运动科学从业者能够调整与实现训练适应、表现和健康相关的干预措施。
