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Gender Differences in Associations of Serum Ferritin and Diabetes, Metabolic Syndrome, and Obesity in China Health and Nutrition Survey

Han, Ling-ling; Wang, Yu-xia; Li, Jia; Zhang, Xiao-lei; Bian, Che; Wang, He; Du, Shufa; & Suo, Lin-na. (2014). Gender Differences in Associations of Serum Ferritin and Diabetes, Metabolic Syndrome, and Obesity in China Health and Nutrition Survey. Molecular Nutrition & Food Research, 58(11), 2189-95.

Han, Ling-ling; Wang, Yu-xia; Li, Jia; Zhang, Xiao-lei; Bian, Che; Wang, He; Du, Shufa; & Suo, Lin-na. (2014). Gender Differences in Associations of Serum Ferritin and Diabetes, Metabolic Syndrome, and Obesity in China Health and Nutrition Survey. Molecular Nutrition & Food Research, 58(11), 2189-95.

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Aim This study examines gender differences in associations of serum ferritin and diabetes, metabolic syndrome (MetS), and obesity in Chinese. Methods This study based on nationwide, population-based China Health and Nutrition survey included 8,564 men and women aged 18 years or older. Anthropometric and fasting blood glucose, insulin, lipids, ferritin, and transferrin data were collected. Results Ferritin concentrations were higher in men than women (201.55±3.6 vs. 80.46±1.64 ng/mL, p<0.0001). The prevalences of MetS, diabetes, obesity, and overweight were 8.05%, 8.97%, 4.67%, 25.88% among men and 14.23%, 6.58%, 5.81%, 26.82% among women, respectively. Elevated ferritin concentrations were associated with higher body mass index, waist circumference, lipids, insulin, glucose (all p<0.0001). Serum ferritin concentrations increased gradually with aging among women. The inverted U shaped association between serum ferritin and age was observed among men. Elevated concentration of ferritins were significantly related with higher risk of MetS (p<0.0001), obesity (p = 0.010), overweight (p<0.0001), and diabetes (p<0.0001) among men, but not among women. Conclusions There was a gender difference in associations between ferritin and MetS, obesity, and diabetes in Chinese. Further evaluations of the variation in gender on these associations are warranted to understand the mechanisms behind gender differences. This article is protected by copyright. All rights reserved




JOUR



Han, Ling-ling
Wang, Yu-xia
Li, Jia
Zhang, Xiao-lei
Bian, Che
Wang, He
Du, Shufa
Suo, Lin-na



2014


Molecular Nutrition & Food Research

58

11

2189-95










2305