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Association of regional body fat with metabolic risks in Chinese women

  • Xiaohua Fu (a1) (a2), Aihua Song (a1), Yunjie Zhou (a1), Xiaoguang Ma (a3), Jingjing Jiao (a1) (a4), Min Yang (a1) (a4) and Shankuan Zhu (a1) (a4)...
Abstract
AbstractObjective

To investigate the association of regional fat depots with metabolic risk factors in Chinese women.

Design

Total and regional fat depots including android fat and gynoid fat were measured by dual-energy X-ray absorptiometry. Central fat distribution was defined as android:gynoid fat ratio. Metabolic risk factors were defined as elevated TAG, reduced HDL-cholesterol, elevated blood pressure and elevated fasting plasma glucose. Logistic regression analyses were performed to examine the associations of regional fat depots with metabolic risk factors. The odds ratios of metabolic risks were further calculated according to tertiles of android fat and gynoid fat.

Setting

Participants were recruited from a community-based cross-sectional study. Face-to-face questionnaires, anthropometric and dual-energy X-ray absorptiometry measures were conducted.

Subjects

Chinese women (n 609) aged 18–79 years.

Results

Android fat and android:gynoid fat ratio were associated with significantly increased odds (OR = 1·4–3·7; P < 0·01) for almost all risk factors, whereas gynoid fat was independently associated with significantly decreased odds (OR = 0·3–0·6; P < 0·01). The inverse associations of gynoid fat with metabolic risk factors remained after adjusting for android fat. Even if their android fat level was in high, women in the highest tertile of gynoid fat had lower odds of having at least two metabolic risk factors compared with women in the lowest gynoid fat tertile (P for trend < 0·01).

Conclusions

There were opposite associations of android and gynoid fat with metabolic risks in Chinese women. Gynoid fat rather than android fat might be a more important inclusion in metabolic disease risk evaluation in female Asians.

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Corresponding author
*Corresponding author: Email zsk@zju.edu.cn
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