Adolescent Build Plotting on Body Composition Chart and the Type of Diabetes Mellitus.
10.3346/jkms.2012.27.11.1385
- Author:
Hye Won PARK
1
;
Yong Hyuk KIM
;
Myunghyun CHO
;
Byung Ok KWAK
;
Kyo Sun KIM
;
Sochung CHUNG
Author Information
1. Department of Pediatrics, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea. scchung@kuh.ac.kr
- Publication Type:Original Article
- Keywords:
Diabetes Mellitus;
Adolescent;
Body Composition;
Body Mass Index
- MeSH:
Adiposity;
Adolescent;
Body Composition/*physiology;
Body Mass Index;
Child;
Diabetes Mellitus, Type 2/*diagnosis/epidemiology/etiology;
Female;
Humans;
Male;
Obesity/complications;
Regression Analysis;
Retrospective Studies;
Statistics, Nonparametric
- From:Journal of Korean Medical Science
2012;27(11):1385-1390
- CountryRepublic of Korea
- Language:English
-
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.
