Shao Hong Da, Li Guan Wu, Liu Yong, Qiu Yu You, Yao Jian Hua, Tang Guang Yu
Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
J Bone Miner Metab. 2015 Sep;33(5):507-15. doi: 10.1007/s00774-014-0613-7. Epub 2014 Oct 1.
The fat and bone connection is complicated, and the effect of adipose tissue on hip bone strength remains unclear. The aim of this study was to clarify the relative contribution of body fat accumulation and fat distribution to the determination of proximal femur strength in healthy postmenopausal Chinese women. This cross-sectional study enrolled 528 healthy postmenopausal women without medication history or known diseases. Total lean mass (LM), appendicular LM (ALM), percentage of lean mass (PLM), total fat mass (FM), appendicular FM (AFM), percentage of body fat (PBF), android and gynoid fat amount, android-to-gynoid fat ratio (AOI), bone mineral density (BMD), and proximal femur geometry were measured by dual energy X-ray absorptiometry. Hip structure analysis was used to compute some variables as geometric strength-related parameters by analyzing the images of the hip generated from DXA scans. Correlation analyses among anthropometrics, variables of body composition and bone mass, and geometric indices of hip bone strength were performed with stepwise linear regression analyses as well as Pearson's correlation analysis. In univariate analysis, there were significantly inverse correlations between age, years since menopause (YSM), hip BMD, and hip geometric parameters. Bone data were positively related to height, body weight, LM, ALM, FM, AFM, and PBF but negatively related to AOI and amount of android fat (all P < 0.05). AFM and AOI were significantly related to most anthropometric parameters. AFM was positively associated with height, body weight, and BMI. AFM was negatively associated with age and YSM. AOI was negatively associated with height, body weight, and BMI. AOI positively associated with age and YSM. LM, ALM, and FM had a positive relationship with anthropometric parameters (P < 0.05 for all). PLM had a negative relationship with those parameters. The correlation between LM, ALM, FM, PLM, ALM, age, and YSM was not significant. In multivariate linear regression analysis, the hip bone strength was observed to have a consistent and unchanged positive association with AFM and a negative association with AOI, whereas its association with other variables of body composition was not significant after adjusting for age, years since menopause, height, body weight, and BMI. AFM may be a positively protective effect for hip bone strength while AOI, rather than android fat, shows a strong negative association with hip bone strength after making an adjustment for confounders (age, YSM, height, body weight, and BMI) in healthy postmenopausal Chinese women. Rational weight control and AOI reduction during menopause may have vital clinical significance in decreasing postmenopausal osteoporosis.
脂肪与骨骼的联系较为复杂,脂肪组织对髋骨强度的影响尚不清楚。本研究旨在阐明身体脂肪堆积和脂肪分布对健康绝经后中国女性近端股骨强度测定的相对贡献。这项横断面研究纳入了528名无用药史或已知疾病的健康绝经后女性。通过双能X线吸收法测量总瘦体重(LM)、四肢瘦体重(ALM)、瘦体重百分比(PLM)、总脂肪量(FM)、四肢脂肪量(AFM)、体脂百分比(PBF)、男性型和女性型脂肪量、男性型与女性型脂肪比率(AOI)、骨矿物质密度(BMD)以及近端股骨几何形状。通过分析双能X线吸收扫描生成的髋部图像,采用髋部结构分析来计算一些作为几何强度相关参数的变量。对人体测量学、身体成分变量与骨量以及髋骨强度几何指标之间进行了逐步线性回归分析以及Pearson相关性分析。在单因素分析中,年龄、绝经年限(YSM)、髋部BMD和髋部几何参数之间存在显著的负相关。骨数据与身高、体重、LM、ALM、FM、AFM和PBF呈正相关,但与AOI和男性型脂肪量呈负相关(所有P<0.05)。AFM和AOI与大多数人体测量参数显著相关。AFM与身高、体重和BMI呈正相关。AFM与年龄和YSM呈负相关。AOI与身高、体重和BMI呈负相关。AOI与年龄和YSM呈正相关。LM、ALM和FM与人体测量参数呈正相关(所有P<0.05)。PLM与这些参数呈负相关。LM、ALM、FM、PLM、ALM、年龄和YSM之间的相关性不显著。在多因素线性回归分析中,观察到髋骨强度与AFM始终保持正相关且不变,与AOI呈负相关,而在调整年龄、绝经年限、身高、体重和BMI后,其与其他身体成分变量的相关性不显著。在健康绝经后中国女性中,校正混杂因素(年龄、YSM、身高、体重和BMI)后,AFM可能对髋骨强度具有正向保护作用,而AOI而非男性型脂肪与髋骨强度呈现强烈的负相关。绝经期间合理控制体重和降低AOI对降低绝经后骨质疏松症可能具有重要的临床意义。