The association of anthropometry indices with gout in Taiwanese men

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• 作者：Wen-Yu Lin (1)
  Chia-Chi Lung (2) (3)
  Ting-Sung Liu (2)
  Zhi-Hong Jian (2)
  Pei-Chieh Ko (2)
  Jing-Yang Huang (2)
  Chien-Chang Ho (4)
  Shih-Chang Chen (5)
  Yi-Chen Chiang (2) (3)
  Yung-Po Liaw (2) (3)
  
• 关键词：Gout ; Anthropometry ; Waist to height ratio
• 刊名：BMC Endocrine Disorders
• 出版年：2013
• 出版时间：December 2013
• 年：2013
• 卷：13
• 期：1
• 全文大小：153KB
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• 作者单位：Wen-Yu Lin (1)
  Chia-Chi Lung (2) (3)
  Ting-Sung Liu (2)
  Zhi-Hong Jian (2)
  Pei-Chieh Ko (2)
  Jing-Yang Huang (2)
  Chien-Chang Ho (4)
  Shih-Chang Chen (5)
  Yi-Chen Chiang (2) (3)
  Yung-Po Liaw (2) (3)
  
  1. Jen-Ai Hospital, Taichung City, 41265, Taiwan
  2. Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, 40201, Taiwan
  3. Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung City, 40201, Taiwan
  4. Department of Health and Leisure Management, Yuanpei University, Hsinchu City, 300, Taiwan
  5. Department of Leisure Industry and Health Promotion, National Ilan University, Yilan City, 260, Taiwan
  

文摘

Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20?years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993-996). 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. Results After 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. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC.