Android fat as a determinant of metabolic syndrome: Sex differences

Android fat as a determinant of metabolic syndrome: Sex differences
Android fat as a determinant of metabolic syndrome: Sex differences
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Publication Date:
19 June 2018
Xinyan Bi, Yi Ting Loo, Christiani Jeyakumar Henry, Android fat as a determinant of metabolic syndrome: Sex differences, Nutrition, Volume 57, 2019, Pages 127-132, ISSN 0899-9007,
Objectives: Regional fat accumulation may play an important role in the pathogenesis of metabolic syndrome (MetS) and cardiovascular diseases, yet the results are controversial. The aim of this study was to determine the relationship between regional fat accumulation and MetS as well as the underlying mechanism in Chinese adults. Methods: We conducted a cross-sectional study of 428 Chinese adults (166 men and 262 women). Android and gynoid fat percentage (AFP and GFP) were measured by dual energy x-ray absorptiometry. Fasting lipid parameters were analyzed by chemistry analyzer COBAS. Results: Forty-six (28%) men and 34 (13%) women had MetS according to the modified National Cholesterol Education Panel Adult Treatment Panel III definition for South Asia. AFP was strongly correlated with more metabolic risk factors than GFP in men. In women, AFP and GFP showed significant opposite effects on triacylglycerol, high-density lipoprotein cholesterol, and waist circumference. On multivariate regression, AFP was an independent determinant of MetS in men after adjustment for confounding factors. For women, both AFP and the homeostatic model assessment for insulin resistance were predictors for MetS. Conclusions: Increased android fat may play a direct role in the development of MetS in Chinese adults. However, the associations between android fat, insulin resistance, and MetS are sex-dependent. This is probably due to different effects of sex hormones on adipose tissue or by genetic factors between sexes. Knowing the sex differences in developing MetS may help design sex-specific preventive strategies that will benefit the overall population health.
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This research is supported by core funding from Singapore Institute for Clinical Sciences.
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