Relationship of body composition, muscle strength, and aerobic capacity to bone mineral density in older men and women

Relationship of body composition, muscle strength, and aerobic capacity to bone mineral density in older men and women
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DOI:
10.1002/jbmr.5650040318
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发表时间:
1989-06
影响因子:
6.2
通讯作者:
W. Bevier;R. Wiswell;G. Pyka;K. Kozak;K. Newhall;R. Marcus
W. Bevier;R. Wiswell;G. Pyka;K. Kozak;K. Newhall;R. Marcus
中科院分区:
医学1区
文献类型:
--
作者:
W. Bevier;R. Wiswell;G. Pyka;K. Kozak;K. Newhall;R. Marcus

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我们评估了91名年龄在61-84岁的健康男性和女性的身体组成、最大有氧能力(VO2max)和肌肉力量与骨密度的关系。瘦体重是通过两个独立的测量脂肪量,生物电阻抗和皮褶厚度来估计的。VO2max通过跑步机测量法测定,直接测量耗氧量。握力和背力采用等距测力法测定。采用双光子和单光子吸收仪测量腰椎和桡骨中部的矿物质密度。男性的瘦肉质量、肌肉力量、有氧能力和骨密度明显高于女性。在女性中,握力与前臂和脊柱密度相关(r = 0.37, r = 0.28, p < 0.05)。男性握力与前臂密度相关(r = 0.47, p < 0.05),背部力量与脊柱(r = 0.46, p < 0.01)和前臂密度均显著相关(r = 0.46, p < 0.01)。在女性中,前臂和脊柱密度与有氧能力均无显著相关性。在男性中,桡骨中密度与耗氧量无显著相关性,但脊柱密度与VO2max之间的简单相关性显著(r = 0.41, p < 0.05)。男性背部力量与VO2max显著相关(r = 0.47, p < 0.01)。通过逐步多元回归,背部强度成为脊柱矿物质最可靠的预测因子,占骨密度变化的19%。在回归中加入VO2max并没有增加显著的预测价值。然而,当以每公斤瘦体重表示VO2max时,背部力量和VO2max对男性脊柱密度的预测都有显著贡献,决定系数R2增加到0.30。我们得出的结论是,体重和握力,而不是有氧能力,可以显著预测老年妇女的骨密度。在老年男性中,与传统的有氧能力表达相比,背部力量是轴向骨密度更可靠的预测指标,但每千克瘦体重的最大摄氧量和背部力量都对脊柱矿物质密度的预测有重要贡献。这些结果是否适用于年轻男性和女性还不确定。
We evaluated the relationship of body composition, maximal aerobic capacity (VO2max), and muscle strength to bone mineral density in 91 healthy men and women, age 61–84 years. Lean body mass was estimated from two independent measures of fat mass, bioelectrical impedance and skinfold thickness. VO2max was determined by treadmill ergometry with direct measurement of oxygen consumption. Grip and back strength were measured by isometric dynamometry. Mineral density of lumbar spine and midradius were measured by dual‐ and single‐photon absorptiometry. Men had significantly greater lean mass, muscle strength, aerobic capacity, and bone density than women. In women, grip strength correlated with forearm and spine density (r = 0.37, r = 0.28, p < 0.05). In men, grip strength correlated with forearm density (r = 0.47, p < 0.05), and back strength was significantly correlated with both spine (r = 0.46, p < 0.01) and forearm density (r = 0.46, p < 0.01). In women, neither forearm nor spine density correlated significantly with aerobic capacity. In men, midradius density did not correlate significantly with oxygen consumption, but the simple correlation between spine density and VO2max was significant (r = 0.41, p < 0.05). Back strength and VO2max were significantly related in men (r = 0.47, p < 0.01). By stepwise multiple regression, back strength emerged as the most robust predictor of spine mineral, accounting for 19% of the variation in bone density. Addition of VO2max to the regression did not add significant predictive value. However, when VO2max was expressed per kilogram lean body mass, both back strength and VO2max contributed significantly to the prediction of spine density in men, and the coefficient of determination R2 increased to 0.30. We conclude that body mass and grip strength, but not aerobic capacity, significantly predict bone density in elderly women. In elderly men, back strength is a more robust predictor of axial bone density than traditional expressions of aerobic capacity, but VO2max per kilogram lean mass and back strength both make significant contributions to the prediction of spine mineral density. The applicability of these results to younger men and women is uncertain.