在大量精英运动员样本中通过空气位移胸压计估算全身骨矿物质密度。

IF 2.5 2区 医学 Q2 SPORT SCIENCES Journal of Strength and Conditioning Research Pub Date : 2024-11-26 DOI:10.1519/JSC.0000000000005024
Meghan K Magee, Jennifer B Fields, Andrew Jagim, Brittanie Lockard, Angela Miller, Debra Stroiney, Margaret T Jones
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引用次数: 0

摘要

摘要:Magee、MK、Fields、JB、Jagim、A、Lockard、B、Miller、A、Stroiney、D 和 Jones、MT。通过大样本精英运动员的空气位移胸透法估算全身骨矿物质密度。J Strength Cond Res XX(X):000-000,2024-双能 X 射线吸收测定法(DXA)用于测定骨矿密度(BMD)和身体成分。法规和成本可能会限制 DXA 在某些运动环境中的应用。空气位移胸透(ADP)虽然可以测量身体成分,但不能测量 BMD。研究的目的是评估通过 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。在 ADP 测试中,使用 Brozek 方程根据身体密度估算体脂率(BF%)和无脂肪质量(FFM)。完成双能 X 射线吸收测量测试后,使用全身扫描模式获得 BMD。使用年龄、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。总 BMD(DXA)是因变量。通过 Bland-Altman 和线性回归评估了最终方程的准确性和精确性。最终回归方程的 R2 为 0.691,其中种族、体重、BF%、年龄和运动类型对 BMD 有显著的预测作用(p < 0.05)。Bland-Altman和线性回归显示出系统性{95%置信区间[CI](-0.619至-0.360)}和比例偏差(95% CI [0.173-0.374])。虽然 ADP 衍生的回归方程可能无法精确预测 BMD,但在无法获得 DXA 的情况下,它可能有助于确定低 BMD 的风险。双能 X 射线吸收测量法可能对某些运动项目不可行;因此,从 ADP 值推导出的 BMD 估算方程对从业人员来说是有利的。该方程可帮助运动员筛查低 BMD 风险。
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Estimation of Whole-Body Bone Mineral Density Through Air Displacement Plethysmography in a Large Sample of Elite Athletes.

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 XX(X): 000-000, 2024-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.

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来源期刊
CiteScore
6.70
自引率
9.40%
发文量
384
审稿时长
3 months
期刊介绍: The editorial mission of The Journal of Strength and Conditioning Research (JSCR) is to advance the knowledge about strength and conditioning through research. A unique aspect of this journal is that it includes recommendations for the practical use of research findings. While the journal name identifies strength and conditioning as separate entities, strength is considered a part of conditioning. This journal wishes to promote the publication of peer-reviewed manuscripts which add to our understanding of conditioning and sport through applied exercise science.
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