Age and sex effects on the association between body composition and bone mineral density in healthy Chinese men and women

Age and sex effects on the association between body composition and bone mineral density in healthy Chinese men and women
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DOI:
10.1097/gme.0b013e31823a40ba
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发表时间:
2012-04-01
影响因子:
2.7
通讯作者:
Zhu, Min Han
Zhu, Min Han
中科院分区:
医学3区
文献类型:
--
作者:
Cheng, Qun;Zhu, Ying Xiao;Zhu, Min Han

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目的:许多研究已经检查了身体成分和骨密度(BMD)之间的关系,但很少关注这些关系如何随年龄和性别而变化。本研究旨在探讨中国不同年龄段男性和女性的瘦质量(LM)、脂肪质量(FM)和骨密度的分布以及身体成分与骨密度的相关性。方法:对年龄在20 ~ 96岁之间的1475名男性和1534名女性的身体成分进行分析。使用双能x线骨密度仪,我们测量了脊柱、股骨和全身的骨密度,以及LM、FM和体脂百分比(fat %)。根据年龄和性别将人群分为两组:年轻、绝经前和绝经后的女性以及年轻、中年和老年男性。采用Pearson相关检验和多元回归分析探讨骨密度与体成分各变量的相关性。结果:30 ~ 39岁女性、20 ~ 29岁女性、30 ~ 39岁女性、20 ~ 29岁男性、20 ~ 29岁男性均出现脊柱、股骨、全身骨密度峰值。LM、FM和Fat %的峰值分别出现在女性40 ~ 49岁、60 ~ 69岁和70 ~ 79岁,男性40 ~ 49岁、70 ~ 79岁和70 ~ 79岁。各组LM与各部位BMD的相关性均有统计学意义(r = 0.253 ~ 0.591, P < 0.01)。而FM与BMD仅在绝经后女性和老年男性中有显著相关性(r = 0.089 ~ 0.336, P < 0.01)。脂肪%与年轻人骨密度呈负相关(r = -0.169 ~ -0.366, P < 0.05)。当逐步回归模型分析时,LM仍然是不同年龄的中国男性和女性的全身、脊柱和股骨骨密度的最强预测因子(标准化系数= 0.264-0.637,P < 0.001)。结论:我们认为,尽管FM和骨密度在老年人中存在正相关,但LM是所有年龄段中国男性和女性骨密度的最强预测因子。
Objective: Many studies have examined the relationships between body composition and bone mineral density (BMD), but little attention has been given to how these relationships vary by age and sex. The aim of this study was to investigate the distributions of lean mass (LM), fat mass (FM), and BMD and the correlation between body composition and BMD in Chinese men and women of different ages.Methods: In total, the body compositions of 1,475 men and 1,534 women aged 20 to 96 years were analyzed. Using dual-energy x-ray absorptiometry, we measured the BMD of the spine, femur, and total body and the LM, FM, and percentage of body fat (Fat %). The population was divided into groups based on age and sex: young, premenopausal, and postmenopausal women and young, middle-aged, and older men. The correlations between BMD and variables of body composition were investigated using the Pearson correlation test and multiple regression analysis.Results: The peak BMD values of the spine, femur, and total body are observed in women aged 30 to 39, 20 to 29, and 30 to 39 years, respectively, and in men aged 20 to 29 years at all sites. The peak LM, FM, and Fat % values were observed at age 40 to 49, 60 to 69, and 70 to 79 years in women, respectively, and at 40 to 49, 70 to 79, and 70 to 79 years in men, respectively. A statistically significant correlation was observed between LM and BMD of all sites (r = 0.253-0.591, P < 0.01) in all groups. However, FM was significantly correlated to BMD only in postmenopausal women and older men (r = 0.089-0.336, P < 0.01). Fat % negatively correlated to BMD in young people (r = -0.169 to -0.366, P < 0.05). When stepwise regression models were analyzed, LM remained the strongest predictor of total body, spine, and femur BMD (standardized coefficients = 0.264-0.637, P < 0.001) in Chinese men and women of different ages.Conclusions: We believe that LM is the strongest predictor of BMD at all ages for Chinese men and women, even though positive correlations between FM and BMD existed in old people.