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通过空气置换体积描记法对大量精英运动员样本进行全身骨矿物质密度评估。

Estimation of Whole-Body Bone Mineral Density Through Air Displacement Plethysmography in a Large Sample of Elite Athletes.

作者信息

Magee Meghan K, Fields Jennifer B, Jagim Andrew, Lockard Brittanie, Miller Angela, Stroiney Debra, Jones Margaret T

机构信息

Exercise Science and Exercise Physiology, Kent State University, Kent, Ohio.

Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, Intercollegiate Athletics, George Mason University, Fairfax, Virginia.

出版信息

J Strength Cond Res. 2025 Apr 1;39(4):427-432. doi: 10.1519/JSC.0000000000005024. Epub 2024 Nov 26.

DOI:10.1519/JSC.0000000000005024
PMID:39590917
Abstract

Magee, MK, Fields, JB, Jagim, A, Lockard, B, Miller, A, Stroiney, D, and Jones, MT. Estimation of whole-body bone mineral density through air displacement plethysmography in a large sample of elite athletes. J Strength Cond Res 39(4): 427-432, 2025-Dual-energy x-ray absorptiometry (DXA) is used to determine bone mineral density (BMD) and body composition. Regulations and cost may limit DXA's utility in some athletic settings. Air displacement plethysmography (ADP), while able to measure body composition, does not measure BMD. The purpose was to evaluate the influence of body composition parameters obtained from ADP on BMD. Collegiate athletes (males, n = 153; females, n = 208) underwent ADP and DXA assessments. For ADP testing, the Brozek equation was used to estimate body fat percent (BF%) and fat-free mass (FFM) from body density. Dual-energy x-ray absorptiometry tests were completed to obtain BMD using the whole-body scan mode. Stepwise regression was conducted using age, body mass, height, sex, race, FFM (ADP), BF% (ADP), and sport type as independent variables. Total BMD (DXA) was the dependent variable. Accuracy and precision of the final equation were evaluated through Bland-Altman and linear regression. The final regression equation yielded an R2 of 0.691 with race, mass, BF%, age, and sport type as significant predictors ( p < 0.05) of BMD. Bland-Altman and linear regression showed systematic {95% confidence interval [CI] (-0.619 to -0.360)} and proportional bias (95% CI [0.173-0.374]). Although an ADP-derived regression equation may not provide a precise prediction of BMD, it may be useful to establish risk for low BMD if DXA is unavailable. Dual-energy x-ray absorptiometry may not be feasible for some athletic programs; therefore, an estimation equation for BMD derived from ADP values is advantageous for practitioners. This equation may assist in screening athletes for risk of low BMD.

摘要

马吉,MK;菲尔兹,JB;贾吉姆,A;洛卡德,B;米勒,A;斯特罗伊尼,D;琼斯,MT。在大量精英运动员样本中通过空气置换体积描记法估算全身骨密度。《力量与体能研究杂志》39(4): 427 - 432,2025年——双能X线吸收法(DXA)用于测定骨密度(BMD)和身体成分。在某些运动环境中,规定和成本可能会限制DXA的实用性。空气置换体积描记法(ADP)虽能测量身体成分,但无法测量BMD。本研究旨在评估从ADP获得的身体成分参数对BMD的影响。大学生运动员(男性,n = 153;女性,n = 208)接受了ADP和DXA评估。对于ADP测试,使用布罗泽克方程根据身体密度估算体脂百分比(BF%)和去脂体重(FFM)。采用全身扫描模式完成双能X线吸收法测试以获取BMD。以年龄、体重、身高、性别、种族、FFM(ADP)、BF%(ADP)和运动类型作为自变量进行逐步回归分析。总BMD(DXA)为因变量。通过布兰德 - 奥特曼分析和线性回归评估最终方程的准确性和精密度。最终回归方程得出的R²为0.691,种族、体重、BF%、年龄和运动类型是BMD的显著预测因素(p < 0.05)。布兰德 - 奥特曼分析和线性回归显示存在系统偏差{95%置信区间[CI](-0.619至-0.360)}和成比例偏差(95% CI [0.173 - 0.374])。虽然源自ADP的回归方程可能无法精确预测BMD,但如果无法进行DXA检测,它对于确定低BMD风险可能会有所帮助。双能X线吸收法对某些运动项目可能不可行;因此,源自ADP值的BMD估算方程对从业者具有优势。该方程可能有助于筛查运动员的低BMD风险。

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