Abstract
BackgroundTo examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men.MethodsThere were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men.ResultsAfter controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57.ConclusionsWHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC.
Highlights
To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men
The prevalence of high anthropometric indices, metabolic syndrome, dyslipidemia, high blood pressure and hyperuricemia were significantly higher in gout group than that in non-gout group
body mass index (BMI) ≥27 kg/m2 and the top tertile of waist circumference (WC), waist to hip ratio (WHR) and waist to height ratio (WHtR) were considered to be obese. It shows the Odds ratio (OR) for gout by BMI ≥ 27 kg/m2 and top tertile of WC, WHR, and WHtR after adjusting for age, smoking, areas and hypertension medications
Summary
To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. The prevalence of gout has increased in recent years [1]. Twenty-six percent of adult males (≥19 years) and 22% of older males (≥45 years) either had hyperuricemia or were taking medication for it in Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996) [2]. The data from the Taiwan National Health Insurance Research Database showed that the prevalence of gout was 4.26% and male to female ratio was 3.2:1 [3]. Subjects with high serum uric acid levels are at higher risk for allcause and cardiovascular mortality [4]. Gout increases the risk of cardiovascular disease, even in young people and those without cardiovascular risk factors [5]. Gout increases mortality risk in both genders, especially
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