Measured and predicted bone mineral content in healthy boys and girls aged 6–18 years: adjustment for body size and puberty
Measured and predicted bone mineral content in healthy boys and girls aged 6–18 years: adjustment for body size and puberty
复制标题
测量和预测 6-18 岁健康男孩和女孩的骨矿物质含量：根据体型和青春期进行调整
作者：
JT Warner;FJ Cowan;F. Dunstan;W. Evans;Dkh Webb;J. Gregory
双能X线骨密度仪（DEXA）是一种快速、精确的儿童骨矿化评估技术。由于结果受年龄、体型（身高和体重）和青春期的影响，因此对生长期儿童结果的解释很复杂。传统上，来自DEXA的骨矿物质数据以面密度[BMD;骨矿物质含量（BMC，g）/投影骨面积（BA，cm 2）]表示，但这无法解释年龄、体型或青春期发育变化导致的BMC变化。用双能X线骨密度仪（DEXA）测定了58例健康男女儿童全身、腰椎及左髋的骨矿含量（BMC）和骨密度（BA）。BMC和BA之间的关系是曲线，最佳拟合是幂模型（BMD = BMC/BAλ，其中λ是BA升高的指数，以消除其对BMC的影响）。当考虑到身体尺寸和青春期的测量值时，λ值发生变化（例如，腰椎从1.66变为1.49）。根据年龄、体型和青春期发育等变量，采用回归分析法建立了BMC预测公式。这提供了一种解释测量的BMC的方法，该方法独立于这些变量，并且为6-18岁的儿童提供了恒定的参考范围。
Dual‐energy X‐ray absorptiometry (DEXA) is a rapid and precise technique for the assessment of bone mineralization in children. Interpretation of the results in growing children is complex as results are influenced by age, body size (height and weight) and puberty. Conventionally, bone mineral data derived from DEXA have been presented as an areal density [BMD; bone mineral content (BMC, g)/projected bone area (BA, cm2)], yet this fails to account for changes in BMC that result from changes in age, body size or pubertal development. Measurement of BMC and BA of the whole body, lumbar spine and left hip were made in 58 healthy boys and girls using DEXA. The relationship between BMC and BA was curvilinear, with the best fit being that of a power model (BMD = BMC/BAλ, where λ is the exponent to which BA is raised in order to remove its influence on BMC). The value of λ changed when measures of body size and puberty were taken into account (e.g. for lumbar spine from 1.66 to 1.49). Predictive formulae for BMC were produced using regression analysis and based on the variables of age, body size and pubertal development. This provides a method for interpreting the measured BMC which is independent of such variables and a constant reference range for children aged 6–18 y.
影响因子：
5
作者：
MORA, S;GOODMAN, WG;GILSANZ, V
通讯作者：
GILSANZ, V