Truncal and leg fat associations with metabolic risk factors among Chinese adults

卷:25

Yang, Min ; Lin, Jie ; Ma, Xiaoguang ; Zhu, Chaonan ; Wei, Chen ; Wang, Lu ; Jiao, Jingjing ; Zhu, Shankuan

Zhejiang Univ

关键词: truncal fat;    leg fat;    metabolic risks;    Chinese;    adults;   

DOI  :  10.6133/apjcn.092015.35

学科分类：食品科学和技术

【 摘 要 】

Background and Objectives: To examine the associations of regional body fat distribution with metabolic risk factors among Chinese. Methods and Study Design: Truncal fat (TF) and leg fat (LF) were measured by dual energy X-ray absorptiometry (DXA) among 947 adults, and abdominal visceral fat (VAT) and subcutaneous fat (SAT), upper leg SAT were measured by magnetic resonance image (MRI) among 103 adults during 2008-2013. Metabolic risk factors included fasting blood glucose, total triglyceride, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and metabolic syndrome (MetS). Results: TF showed adverse effect while LF showed beneficial effect on metabolic risk factors, and all these effects were independent of body mass index (BMI) (mostly p<0.01). Individuals with higher TF and lower LF experienced the highest risk of MetS compared to other subgroups of combination of TF and LF (all p<0.05). Abdominal VAT was positively associated with risk of MetS (men: odds ratio (OR)=4.45, 95% confidence interval (CI): 1.18, 16.8; women: OR=6.54, 95% CI: 1.08, 39.6) and serum triglyceride (men: beta 03)=0.379, 95% CI: 0.090, 0.667; women: f3=0.700, 95% CI: 0.327, 1.07). Upper leg SAT showed an opposite association with most metabolic factors compared to abdominal SAT and VAT, however, the association was not statistically significant. Conclusion: TF and LF showed opposite effects on metabolic risk factors among Chinese adults. Abdominal VAT, but not abdominal SAT, was positively associated with serum triglyceride and risk of MetS. Future studies are warranted to examine the potential mechanism of the opposite effects between TF and LF on metabolic risk factors among Chinese.