Hyperuricemia: a Reality in the Indian Obese
Centre for Obesity and Diabetes Surgery, H. Goregaonkar Road, Mumbai, India.Obesity Surgery (Impact Factor: 3.75). 04/2012; 22(6):945-8. DOI: 10.1007/s11695-012-0655-7
Hyperuricemia is known to be associated with obesity and metabolic syndrome. The aims of this study were to evaluate the prevalence of hyperuricemia in the Indian obese population and to determine if a correlation exists between hyperuricemia, body mass index, waist circumference and components of metabolic syndrome. This was a retrospective observational study. Four hundred nine obese patients were included. Anthropometric parameters were recorded. Prevalence of type 2 diabetes mellitus (T2DM), hypertension and dyslipidemia were recorded. Uric acid levels were measured in all patients. Hyperuricemia was defined as serum uric acid levels greater than 6 mg/dl. The population studied had a median body mass index (BMI) of 44.14 kg/m(2) (range 28.1-88.2 kg/m(2)) and a median age of 41 years (range 18 to 75 years). Overall prevalence of hyperuricemia was 44.6 %. Thirty-four percent in the BMI range of 28-35 kg/m(2) and 47 % of patients with a BMI of >35 kg/m(2) had hyperuricemia. The incidence of hyperuricemia in males was 50 vs 21.7 % in females. Of patients in the hyperuricemia group, 47.3 % had hypertension as compared to 37 % in the normouricemic group. Dyslipidemia was seen in 7.3 % of hyperuricemic patients as compared to 5.8 % of the normouricemic subjects. The prevalence of T2DM was comparable in both the groups. The Indian obese population has a significant high prevalence of hyperuricemia; the incidence of hyperuricemia in male patients was greater than in female patients. Central obesity had no direct link to hyperuricemia. There was no significant correlation between the occurrence of T2DM and dyslipidemia and hyperuricemia. Hypertension was the only comorbidity seen to occur in conjunction with hyperuricemia.
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ABSTRACT: Background/aims: To examine the cross-sectional and longitudinal associations of serum ferritin levels with hyperuricemia. Methods: A cross-sectional and subsequently prospective study was performed among the employees of Zhenhai Refining and Chemical Company, Ningbo, China. In a cross-sectional study, the association between serum ferritin levels and the prevalence of hyperuricemia was analyzed. Subjects who were free of hyperuricemia at baseline were followed up annually to explore the prospective association between serum ferritin levels and hyperuricemia incidence. Results: Of the 10,074 subjects enrolled at baseline, 1,731 (17.18%) fulfilled the diagnostic criteria of hyperuricemia. Subjects with hyperuricemia presented significantly higher serum ferritin levels, and the levels were positively correlated with the prevalence of hyperuricemia. During a total of 22,367 person-years of follow-up, 502 subjects developed hyperuricemia. The overall incidence of hyperuricemia for 1,000 person-years of follow-up was 22.4, ranging from 17.6 in subjects with baseline serum ferritin levels in the first quintile to 19.2, 21.7, 23.9, and 30.7 in subjects in quintiles 2, 3, 4, and 5, respectively (p for trend < 0.001). Cox regression analyses showed that serum ferritin levels were positively associated with the risk of incident hyperuricemia. Conclusions: Our cross-sectional and longitudinal results indicate that high serum ferritin levels increase the risk of hyperuricemia.Annals of Nutrition and Metabolism 03/2014; 64(1):6-12. DOI:10.1159/000358337 · 2.62 Impact Factor
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ABSTRACT: The present study aimed to investigate the association between body mass index (BMI) and uric acid (UA) using the twin study methodology to adjust for genetic factors. The association between BMI and UA was investigated in a cross-sectional study using data from both monozygotic and dizygotic twins registered at the Osaka University Center for Twin Research and the Osaka University Graduate School of Medicine. From January 2011 to March 2014, 422 individuals participated in the health examination. We measured height, weight, age, BMI, lifestyle habits (Breslow's Health Practice Index), serum UA, and serum creatinine. To investigate the association between UA and BMI with adjustment for the clustering of a twin within a pair, individual-level analyses were performed using generalized linear mixed models (GLMMs). To investigate an association with adjustment for genetic and family environmental factors, twin-pair difference values analyses were performed. In all analysis, BMI was associated with UA in men and women. Using the GLMMs, standardized regression coefficients were 0.194 (95 % confidence interval: 0.016-0.373) in men and 0.186 (95 % confidence interval: 0.071-0.302) in women. Considering twin-pair difference value analyses, standardized regression coefficients were 0.333 (95 % confidence interval: 0.072-0.594) in men and 0.314 (95 % confidence interval: 0.151-0.477) in women. The present study shows that BMI was significantly associated with UA, after adjusting for both genetic and familial environment factors in both men and women.Environmental Health and Preventive Medicine 06/2015; 20(5). DOI:10.1007/s12199-015-0473-3
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