Namwongprom Sirianong, Rerkasem Kittipan, Wongthanee Antika, Pruenglampoo Sakda, Mangklabruks Ampica
Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. E-mail:
J Clin Res Pediatr Endocrinol. 2013;5(4):252-7. doi: 10.4274/Jcrpe.1108.
The aim of this study was to compare body fat distribution using dual-energy X-ray absorptiometry (DXA) in young adult subjects with metabolic syndrome (MS) with those without MS and also to determine whether a significant association existed between total body fat mass (FM) and MS along with the effect of birth weight.
This cross-sectional study was conducted on 393 young adult subjects (175 male, 218 female). Body mass index (BMI), waist circumference, blood pressure, triglyceride, high-density lipoprotein cholesterol and glucose levels were determined. Total body FM, lean mass (LM) and percentage of body fat (%BF) were assessed by DXA. Adult Treatment Panel III criteria were used for the diagnosis of MS.
The prevalence of MS was 5.6% among this group of young adult subjects aged 18.5-21.8 years. Subjects with MS (n=22) had significantly higher values for weight, height, BMI, waist circumference, %BF, total body FM, total body LM, and regional FM and LM. There was no statistically significant difference in bone mineral density between the two groups. There was also no association between birth weight and MS. Multiple logistic regression analysis showed that every 5 kg of total body FM (OR 1.68; 95%CI 1.06-2.66) adjusted for gender, birth weight status, and total body LM were significantly associated with MS.
Total body FM measured by DXA was related to MS in Thai young adults. Thus, body composition analysis might have a role in the identification of subjects with MS status.
本研究旨在比较使用双能X线吸收法(DXA)测量的年轻成年代谢综合征(MS)患者与非MS患者的体脂分布情况,并确定总体脂量(FM)与MS之间是否存在显著关联以及出生体重的影响。
本横断面研究纳入了393名年轻成年受试者(175名男性,218名女性)。测定了体重指数(BMI)、腰围、血压、甘油三酯、高密度脂蛋白胆固醇和血糖水平。通过DXA评估总体FM、瘦体重(LM)和体脂百分比(%BF)。采用成人治疗小组第三次报告标准诊断MS。
在这群年龄在18.5至21.8岁的年轻成年受试者中,MS的患病率为5.6%。MS患者(n = 22)在体重、身高、BMI、腰围、%BF、总体FM、总体LM以及局部FM和LM方面的值显著更高。两组之间的骨密度无统计学显著差异。出生体重与MS之间也无关联。多因素逻辑回归分析显示,在调整性别、出生体重状况和总体LM后,每增加5 kg总体FM(OR 1.68;95%CI 1.06 - 2.66)与MS显著相关。
在泰国年轻成年人中,通过DXA测量的总体FM与MS有关。因此,身体成分分析可能在识别MS患者方面发挥作用。