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青少年体型绘制在身体成分图表上与糖尿病类型的关系。

Adolescent build plotting on body composition chart and the type of diabetes mellitus.

机构信息

Department of Pediatrics, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.

出版信息

J Korean Med Sci. 2012 Nov;27(11):1385-90. doi: 10.3346/jkms.2012.27.11.1385. Epub 2012 Oct 30.

Abstract

Although the prevalence of type 2 diabetes is increasing, there are cases difficult to categorize into certain type in pediatric diabetic patients. The aims of this study were to detect and choose a proper treatment modality for atypical cases of diabetes mellitus, using the body composition chart. We conducted a retrospective study from August 2005 to 2012 with patients who visited Konkuk University Medical Center, and were diagnosed with diabetes mellitus. The medical records were reviewed for the anthropometric data and indices of body composition. The subjects were grouped by the type of diabetes and gender. We constructed a body composition chart plotting fat free mass index and fat mass index (FMI). Body mass index and all body composition indices were higher in type 2 diabetes, in each gender in analysis with Mann-Whitney test. Significant determinant of diabetes type was revealed as FMI and contributing factors on FMI were analyzed with regression analysis. Six atypical cases were identified by a body composition chart including non-obese type 2 diabetes showing suboptimal growth with lower BMI related to relatively lower insulin secretion and type 1 diabetes with insulin resistance resulted from obesity. Body composition chart analysis might be useful in characterization of diabetes type and detection of atypical cases and early adjustment of diabetes management strategy.

摘要

尽管 2 型糖尿病的患病率正在上升,但在儿科糖尿病患者中,仍有一些病例难以归入特定类型。本研究旨在使用人体成分图表检测和选择非典型糖尿病病例的适当治疗方式。我们进行了一项回顾性研究,纳入了 2005 年 8 月至 2012 年期间在韩国孔敬大学医学中心就诊并被诊断为糖尿病的患者。回顾了患者的人体测量数据和身体成分指标。根据糖尿病类型和性别对患者进行分组。我们构建了一个人体成分图表,绘制了去脂体重指数和脂肪质量指数(FMI)。在 Mann-Whitney 检验中,2 型糖尿病患者的 BMI 和所有身体成分指标均高于其他类型的糖尿病,且在每个性别中均如此。FMI 是糖尿病类型的显著决定因素,我们还通过回归分析分析了影响 FMI 的因素。通过人体成分图表分析发现了 6 例非典型病例,包括非肥胖 2 型糖尿病患者,其表现为生长不佳,BMI 相关的胰岛素分泌较低,以及肥胖导致胰岛素抵抗的 1 型糖尿病。人体成分图表分析可能有助于描述糖尿病类型和发现非典型病例,并及早调整糖尿病管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2482/3492675/94f4f65e5dbb/jkms-27-1385-g001.jpg

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