Dept. of Anthropology, University of Nebraska, Lincoln, NE 68588, USA.
Bone. 2012 Nov;51(5):888-95. doi: 10.1016/j.bone.2012.08.125. Epub 2012 Aug 27.
Variation in structural geometry is present in adulthood, but when this variation arises and what influences this variation prior to adulthood remains poorly understood. Ethnicity is commonly the focus of research of skeletal integrity and appears to explain some of the variation in quantification of bone tissue. However, why ethnicity explains variation in skeletal integrity is unclear.
Here we examine predictors of bone cross sectional area (CSA) and section modulus (Z), measured using dual-energy X-ray absorptiometry (DXA) and the Advanced Hip Analysis (AHA) program at the narrow neck of the femur in adolescent (9-14 years) girls (n=479) living in the United States who were classified as Asian, Hispanic, or white if the subject was 75% of a given group based on parental reported ethnicity. Protocols for measuring height and weight follow standardized procedures. Total body lean mass (LM) and total body fat mass (FM) were quantified in kilograms using DXA. Total dietary and total dairy calcium intakes from the previous month were estimated by the use of an electronic semi-quantitative food frequency questionnaire (eFFQ). Physical activity was estimated for the previous year by a validated self-administered modifiable activity questionnaire for adolescents with energy expenditure calculated from the metabolic equivalent (MET) values from the Compendium of Physical Activities. Multiple regression models were developed to predict CSA and Z.
Age, time from menarche, total body lean mass (LM), total body fat mass (FM), height, total calcium, and total dairy calcium all shared a significant (p<0.05), positive relationship with CSA. Age, time from menarche, LM, FM, and height shared significant (p<0.05), positive relationships with Z. For both CSA and Z, LM was the most important covariate. Physical activity was not a significant predictor of geometry at the femoral neck (p≥0.339), even after removing LM as a covariate. After adjusting for covariates, ethnicity was not a significant predictor in regression models for CSA and Z.
Variability in bone geometry at the narrow neck of the femur is best explained by body size and pubertal maturation. After controlling for these covariates there were no differences in bone geometry between ethnic groups.
结构几何形状的变化存在于成年期,但这种变化何时出现以及成年期之前是什么影响了这种变化,目前仍知之甚少。种族通常是骨骼完整性研究的焦点,并且似乎可以解释骨组织量化中的一些变化。然而,为什么种族可以解释骨骼完整性的变化尚不清楚。
在这里,我们研究了使用双能 X 射线吸收法(DXA)和高级髋关节分析(AHA)程序在 9-14 岁的美国少女股骨颈狭窄处测量的骨横截面积(CSA)和截面模数(Z)的预测因子,如果受试者根据父母报告的种族,如果受试者属于给定组的 75%,则将其分类为亚洲人、西班牙裔或白人。身高和体重的测量方案遵循标准化程序。使用 DXA 以千克为单位量化全身瘦体重(LM)和全身脂肪量(FM)。前一个月的总膳食和总乳制品钙摄入量通过使用电子半定量食物频率问卷(eFFQ)进行估计。过去一年的身体活动量通过经过验证的青少年可修改活动问卷进行估计,其能量消耗是根据活动综合表中的代谢当量(MET)值计算得出的。建立了多元回归模型来预测 CSA 和 Z。
年龄、初潮时间、全身瘦体重(LM)、全身脂肪量(FM)、身高、总钙和总乳制品钙均与 CSA 呈显著正相关(p<0.05)。年龄、初潮时间、LM、FM 和身高与 Z 呈显著正相关(p<0.05)。对于 CSA 和 Z,LM 是最重要的协变量。即使在去除 LM 作为协变量后,身体活动也不是股骨颈几何形状的重要预测指标(p≥0.339)。在调整协变量后,种族在 CSA 和 Z 的回归模型中不是重要的预测指标。
股骨颈狭窄处骨几何形状的变异性最好用身体大小和青春期成熟来解释。在控制这些协变量后,不同种族之间的骨几何形状没有差异。