Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Sleep Research & Treatment Center, Department of Psychiatry, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
J Clin Densitom. 2015 Jan-Mar;18(1):30-6. doi: 10.1016/j.jocd.2014.07.009. Epub 2014 Sep 11.
To investigate the association between abdominal obesity and metabolic syndrome (MetS) burden in a population-based sample of adolescents, we used data from 421 adolescents who completed the follow-up examination in the Penn State Children Cohort study. Dual-energy x-ray absorptiometry (DXA) was used to assess abdominal obesity, as measured by android/gynoid fat ratio (A/G ratio), android/whole body fat proportion (A/W proportion), visceral (VAT) and subcutaneous fat (SAT) areas. Continuous metabolic syndrome score (cMetS), calculated as the sum of the age and sex-adjusted standardized residual (Z-score) of five established MetS components, was used to assess the MetS burden. Linear regression models were used to analyze the impact of DXA measures on cMetS components. All models were adjusted for age, race, sex, and general obesity. We found abdominal obesity is significantly associated with increased cMetS. With 1 standard deviation (SD) increase in A/G ratio, A/W proportion, VAT area, and SAT area, cMetS increased by 1.34 (SE=0.17), 1.25 (SE=0.19), 1.67 (SE=0.17), and 1.84 (SE=0.20) units, respectively. At individual component level, strongest association was observed between abdominal obesity and insulin resistance (IR) than lipid-based or blood pressure-based components. VAT and SAT had a stronger impact on IR than android ratio-based DXA measurements. In conclusion, abdominal obesity is associated with higher MetS burden in adolescent population. The association between abdominal obesity and IR measure is the strongest, suggesting the key impact of abdominal obesity on IR in adolescents MetS burden.
为了在一个基于人群的青少年样本中研究腹部肥胖与代谢综合征(MetS)负担之间的关系,我们使用了完成宾夕法尼亚州儿童队列研究随访检查的 421 名青少年的数据。双能 X 射线吸收法(DXA)用于评估腹部肥胖,通过安卓/女性脂肪比(A/G 比)、安卓/全身脂肪比例(A/W 比例)、内脏(VAT)和皮下脂肪(SAT)面积来衡量。连续代谢综合征评分(cMetS),作为五个既定 MetS 成分的年龄和性别调整标准化残差(Z 评分)的总和,用于评估 MetS 负担。线性回归模型用于分析 DXA 测量值对 cMetS 成分的影响。所有模型均根据年龄、种族、性别和一般肥胖进行调整。我们发现腹部肥胖与 cMetS 的增加显著相关。A/G 比、A/W 比例、VAT 面积和 SAT 面积每增加 1 个标准差(SD),cMetS 分别增加 1.34(SE=0.17)、1.25(SE=0.19)、1.67(SE=0.17)和 1.84(SE=0.20)单位。在个别成分水平上,腹部肥胖与胰岛素抵抗(IR)的相关性最强,而不是基于脂质或血压的成分。VAT 和 SAT 对 IR 的影响强于基于安卓比例的 DXA 测量。总之,腹部肥胖与青少年人群中更高的 MetS 负担相关。腹部肥胖与 IR 测量之间的关联最强,这表明腹部肥胖对青少年 MetS 负担中 IR 的关键影响。