Determinants of bone density among athletes engaged in weight-bearing and non-weight-bearing activity.
Determinants of bone density among athletes engaged in weight-bearing and non-weight-bearing activity.
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从事负重和非负重活动的运动员骨密度的决定因素。
DOI：
10.1152/jappl.1989.67.3.1100
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
Genant,HK
中科院分区：
文献类型：
--
作者：
Block,JE;Friedlander,AL;Brooks,GA;Steiger,P;Stubbs,HA;Genant,HK
为了确定与运动个体中较高的骨密度相关的因素，我们招募了三组不同的年轻男性受试者。20名是全国排名的水球运动员，19名参加了举重训练计划，20名受试者组成了不锻炼的对照组。所有参与者都用定量计算机断层扫描测量了脊柱的骨小梁密度和积分骨密度，并用双光子骨密度仪测定了髋骨密度。一系列潜在的预测变量包括最大氧气摄入量、背部力量、腿部力量、每天消耗的总千卡路里、体重指数、棘旁肌横截面积、体脂百分比、每日钙摄入量和年龄。我们发现两组运动受试者的任何一项骨密度测量都没有显著差异，而非运动组的骨密度普遍显著低于任何一组运动组。相关分析发现，当单独检查每个亚组时，只有微弱的和有些不一致的关系；然而，当所有受试者被集体评估时，更多的相关性达到显著水平。在这方面，棘旁肌肉区域被发现是最健壮的，与所有三种骨密度指标都显著相关(r=0.33-0.55)。通过对每个亚组进行逐步回归分析，我们观察到棘旁肌肉面积对脊柱和髋部骨密度变异的一致显著贡献(R2=0.18-0.44)。将三个亚组的数据合并后，回归分析再次证实了肌肉参数(R2=0.06~0.27)对骨密度变化的重要性，但更重要的是，基于运动状态的分化最为显著(R2=0.18~0.22)。
To identify the factors associated with greater bone density among athletic individuals, we recruited three distinct groups of young male subjects. Twenty were nationally ranked water polo players, 19 were engaged in weight-training programs, and 20 subjects comprised a nonexercising comparison group. All participants had measurements of spinal trabecular and integral bone density by quantitative computed tomography as well as a determination of hip bone density by dual photon absorptiometry. A series of potential predictor variables included maximal O2 uptake, back strength, leg strength, total kilocalories expended per day, body mass index, paraspinous muscle cross-sectional area, percent body fat, daily calcium intake, and age. We found no significant differences for any of the bone density measures between the two groups of athletic subjects, whereas bone density was generally significantly lower among the nonexercisers compared with either exercise group. Correlation analysis found only weak and somewhat inconsistent relationships when each of the subgroups was examined separately; however, when all subjects were assessed collectively, many more correlations reached significance. Paraspinous muscular area was found to be most robust in this regard, being significantly correlated with all three bone density measures (r = 0.33–0.55). By using step-wise regression analysis in each subgroup, we observed a consistent significant contribution (R2 = 0.18–0.44) of paraspinous muscle area to the variability in bone density at the spine and the hip. When the data of all three subgroups were pooled, regression analysis reconfirmed the importance of the muscle parameter (R2 = 0.06–0.27) to bone density variation, but more importantly it showed that differentiation based on exercise status was most significant (R2 = 0.18–0.22).