Relationships between the lean mass index and bone mass and reference values of muscular status in healthy Chinese children and adolescents
Relationships between the lean mass index and bone mass and reference values of muscular status in healthy Chinese children and adolescents
复制标题
DOI：
10.1007/s00774-015-0725-8
复制
发表时间：
2016-11-01
影响因子：
3.3
通讯作者：
Xu, Hao
中科院分区：
文献类型：
--
作者：
Guo, Bin;Wu, Qiulian;Xu, Hao
本研究旨在利用双能x线骨密度仪（DXA）分析中国儿童和青少年瘦质量指数（LMI）与骨骼预后之间的关系，并建立性别特异性参考百分位曲线来评估肌肉状态。从中国南方招募了1541名年龄在5到19岁之间的中国儿童和青少年。采用DXA （Lunar Prodigy）测量体成分，获得全身和全身减头（total Body less head， TBLH）测量值。LMI的计算方法为LM （kg）除以高度（米）的平方。14岁以后，全身LMI和阑尾LMI存在明显的性别差异（p < 0.001）。男孩的LM和LMI值在14岁前持续增加，而女孩在12岁后趋于平稳。在各性别组中，全身骨矿物质含量（BMC）和TBLH BMC与全身LMI和阑尾LMI高度相关（r = 0.856 ~ 0.916, r = 0.651 ~ 0.804, p < 0.001）。阑尾LMI与全身BMC和TBLH BMC的相关性强于全身LMI。BMC值与LM测量值之间的相关性强于脂肪量结果。我们还提出了LM-年龄和LM-年龄关系的性别特异性百分位数曲线，这可能有助于识别该人群的LM缺陷。
This study aimed to analyze the relationships between the lean mass index (LMI) and bone outcomes in Chinese children and adolescents using dual-energy X-ray absorptiometry (DXA) and to establish sex-specific reference percentile curves for the assessment of muscle status. A total of 1541 Chinese children and adolescents between the ages of 5 and 19 years were recruited from southern China. Body composition was measured by DXA (Lunar Prodigy) to acquire total body and total body less head (TBLH) measures. LMI was calculated as the LM (kg) divided by the height in meters squared. Strong sex gaps were observed after age 14 in total body LMI and appendicular LMI (p < 0.001). LM and LMI values continued to increase for boys up to age 14 compared to girls who plateaued after age 12. For each sex group, total body bone mineral content (BMC) and TBLH BMC were highly correlated with total body LMI and appendicular LMI (r = 0.856-0.916 in boys, and r = 0.651-0.804 in girls, p < 0.001). The appendicular LMI was more strongly associated with total body BMC and TBLH BMC than was total body LMI. The correlations between the BMC values and the LM measures were stronger than the fat mass results. We also present sex-specific percentile curves for LM-age and LMI-age relationships, which could be useful for identifying the LM deficits in this population.