Bedogni G, Mussi C, Malavolti M, Borghi A, Poli M, Battistini N, Salvioli G
Human Nutrition Chair, Department of Biomedical Sciences, Faculty of Medicine and Surgery, University of Modena and Reggio Emilia, Via Campi 287, 41100 Modena, Italy.
Ann Hum Biol. 2002 Sep-Oct;29(5):559-65. doi: 10.1080/03014460210137819.
To study the relationship between bone mineral content (BMC), lean tissue mass (LTM) and fat mass (FM) in a large sample of young and elderly women.
Cross-sectional.
BMC, LTM and FM were measured by dual-energy X-ray absorptiometry in 2009 free-dwelling Caucasian women aged 63 +/- 7 years (mean +/- SD; range: 37-88 years). The majority of women were postmenopausal (96%).
LTM explained 13% more variance of BMC than FM (R(2)(adj) = 0.39 vs 0.26, p < 0.0001) but weight (Wt) explained 5% more variance of BMC than LTM (R(2)(adj) = 0.44, p < 0.0001). The prediction of BMC obtained from LTM and FM (R(2)(adj)= 0.46, p < 0.0001) was only slightly better than that obtained from Wt. After the effects of age, Wt and height (Ht) on BMC were taken into account by multiple regression, the contribution of LTM and FM to BMC was just one-fifth of that of Wt (R(2)(adj) for full models < or =0.56, p < 0.0001). After a further correction for bone area (BA), the contribution of LTM and FM to BMC was just one-tenth of that of BA and not different from that of Wt and Ht on practical grounds (R(2)(adj) for full models = 0.84, p < 0.0001). Thus, after inter-individual differences in age, Wt, Ht (and bone size) are taken into account, the relationship between body composition and BMC is substantially weakened.
In Caucasian women, (1) LTM is a stronger predictor of BMC than FM, but (2) Wt is a better predictor of BMC than body composition for practical purposes, and (3) Wt and body composition are not able to explain more than 46% of BMC variance.
研究大量年轻及老年女性样本中骨矿物质含量(BMC)、瘦组织质量(LTM)和脂肪量(FM)之间的关系。
横断面研究。
2009年,采用双能X线吸收法对200名年龄在63±7岁(平均±标准差;范围:37 - 88岁)的居家白种女性进行BMC、LTM和FM测量。大多数女性处于绝经后(96%)。
LTM对BMC变异的解释比FM多13%(调整后R² = 0.39对0.26,p < 0.0001),但体重(Wt)对BMC变异的解释比LTM多5%(调整后R² = 0.44,p < 0.0001)。由LTM和FM得出的BMC预测值(调整后R² = 0.46,p < 0.0001)仅略优于由Wt得出的预测值。通过多元回归考虑年龄、Wt和身高(Ht)对BMC的影响后,LTM和FM对BMC的贡献仅为Wt的五分之一(完整模型的调整后R²≤0.56,p < 0.0001)。在进一步校正骨面积(BA)后,LTM和FM对BMC的贡献仅为BA的十分之一,且从实际情况看与Wt和Ht的贡献无差异(完整模型的调整后R² = 0.84,p < 0.0001)。因此,在考虑个体间年龄、Wt、Ht(以及骨大小)差异后,身体成分与BMC之间的关系显著减弱。
在白种女性中,(1)LTM对BMC的预测能力比FM更强,但(2)出于实际目的,Wt对BMC的预测比身体成分更好,且(3)Wt和身体成分无法解释超过46%的BMC变异。