Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
BMC Endocr Disord. 2023 Nov 9;23(1):246. doi: 10.1186/s12902-023-01506-z.
The association between segmental body composition and bone mineral density (BMD) remains uncertain. The primary aim of this cross-sectional investigation was to elucidate the connection between segmental body composition and BMD within the United States adult population.
We selected a cohort of 10,096 individuals from the National Health and Nutrition Examination Survey (NHANES) database, with a mean age of 39 years and a mean BMI of 28.5 kg/m². The parameter of segmental body composition was achieved by quantifying body fat and lean mass percentages across various anatomical regions, including the torso, Android, Gynoid, arms and legs. We conducted a weighted multivariate linear regression analysis to investigate the association between segmental body composition and total BMD. Additionally, subgroup analysis was performed based on age and gender.
We found an inverse association between fat proportion in each anatomical region and total BMD, with the arm and leg regions demonstrating the most significant negative correlation. Conversely, a positive correlation was observed between lean mass and BMD across all anatomical regions. These associations remained consistent in subgroup analyses.
Our investigation revealed a negative association between adipose levels in various anatomical regions and BMD among Americans aged 20 to 59. Importantly, higher fat proportion in the extremities exerted the most deleterious impact on BMD. Furthermore, an increase in lean mass within each anatomical region was ascertained to confer a positive effect on bone health. Consequently, the evaluation of segmental body composition is well-positioned to predict bone health status.
目前,节段性身体成分与骨密度(BMD)之间的关联仍不确定。本横断面研究的主要目的是阐明美国成年人中节段性身体成分与 BMD 之间的关系。
我们从国家健康和营养检查调查(NHANES)数据库中选择了 10096 名个体的队列,平均年龄为 39 岁,平均 BMI 为 28.5kg/m²。节段性身体成分的参数是通过量化身体脂肪和瘦体重在不同解剖区域(包括躯干、安卓、女性型、手臂和腿部)的百分比来实现的。我们进行了加权多元线性回归分析,以研究节段性身体成分与总 BMD 之间的关系。此外,还根据年龄和性别进行了亚组分析。
我们发现每个解剖区域的脂肪比例与总 BMD 呈负相关,手臂和腿部区域的相关性最强。相反,瘦体重与所有解剖区域的 BMD 呈正相关。这些关联在亚组分析中仍然一致。
我们的研究表明,20 至 59 岁美国人不同解剖区域的脂肪水平与 BMD 呈负相关。重要的是,四肢脂肪比例的增加对 BMD 的影响最大。此外,每个解剖区域的瘦体重增加被确定对骨骼健康有积极影响。因此,节段性身体成分的评估很适合预测骨骼健康状况。