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基线人体测量学指标可预测成年早期椎骨大小的变化 - 一项为期 10 年的 MRI 随访研究。

Baseline anthropometric indices predict change in vertebral size in early adulthood - A 10-year follow-up MRI study.

机构信息

Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.

Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Anatomy, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Archaeology, Faculty of Humanities, University of Oulu, Oulu, Finland.

出版信息

Bone. 2020 Sep;138:115506. doi: 10.1016/j.bone.2020.115506. Epub 2020 Jun 27.

Abstract

The vertebral cross-sectional area (CSA) has an independent effect on vertebral strength. Recent evidence has shown that vertebral dimensions significantly increase in the third decade of life, and that lifestyle factors such as body size and composition are clearly associated with vertebral CSA. This study aimed to test the hypothesis that general anthropometric traits (stature, total body mass, lean body mass, fat mass, body mass index, waist circumference), each objectively measured at baseline, predict the change in vertebral CSA over the subsequent decade. A representative sample of young Northern Finnish adults was used (n = 371) with repeated magnetic resonance imaging (MRI) scans from ~20 and ~30 years (baseline and follow-up, respectively). Vertebral CSA was measured from the MRI scans with high reliability and low measurement error. The statistical analysis was performed using linear regression models adjusted for sex and exact length of MRI interval. According to the regression models, in descending order of effect size, lean body mass (standardized beta coefficient 0.243 [95% confidence interval 0.065-0.420]), total body mass (0.158 [0.043-0.273]), body mass index (0.125 [0.026-0.224]), waist circumference (0.119 [0.010-0.228]), and fat mass (0.104 [0.004-0.205]) were positively and significantly associated with CSA gain over the follow-up, whereas stature (0.079 [-0.066-0.224]) was not associated with CSA change. The results of this study suggest that anthropometric indices may be used for estimating subsequent change in vertebral size. In particular, greater lean body mass seems to be beneficial for vertebral size and thus potentially also for vertebral strength. Future studies should aim to replicate these associations in a dataset with longitudinal anthropometric trajectories and identify the potential common factors that influence both anthropometric traits and vertebral CSA gain.

摘要

椎体横截面积(CSA)对椎体强度有独立影响。最近的证据表明,椎体尺寸在人生的第三个十年显著增加,而生活方式因素,如体型和组成,显然与椎体 CSA 相关。本研究旨在检验以下假设:一般人体测量特征(身高、总体重、瘦体重、体脂肪量、体重指数、腰围),在基线时分别进行客观测量,可预测随后十年中椎体 CSA 的变化。使用具有重复磁共振成像(MRI)扫描的年轻北芬兰成年人代表性样本(n=371),分别在20 岁和30 岁时(基线和随访)进行 MRI 扫描。使用高可靠性和低测量误差的 MRI 扫描来测量椎体 CSA。使用线性回归模型进行统计分析,模型根据性别和 MRI 间隔的精确长度进行调整。根据回归模型,按效应大小降序排列,瘦体重(标准化β系数 0.243[95%置信区间 0.065-0.420])、总体重(0.158[0.043-0.273])、体重指数(0.125[0.026-0.224])、腰围(0.119[0.010-0.228])和体脂肪量(0.104[0.004-0.205])与随访期间 CSA 增加呈正相关,而身高(0.079[-0.066-0.224])与 CSA 变化无关。本研究结果表明,人体测量指标可用于估计椎体大小的后续变化。特别是,更大的瘦体重似乎对椎体大小有益,因此可能对椎体强度也有益。未来的研究应旨在在具有纵向人体测量轨迹的数据集和确定影响人体测量特征和椎体 CSA 增加的潜在共同因素的情况下复制这些关联。

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