Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people.
BACKGROUND: Obesity has been demonstrated to be associated with increased serum uric acid (SUA); however, little is known regarding the relationship between maximum weight, or maximum weight fluctuation, and uric acid concentration. Through retrospective means, we determined the association of maxim...
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2012-01-01
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doaj-d344b3c8e7794ea2b04a5dbf8e5110552020-11-25T01:47:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e5118610.1371/journal.pone.0051186Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people.Bin GaoJie ZhouJiapu GeYaping ZhangFei ChenWayne B LauYi WanNanyan ZhangYing XingLi WangJianfang FuXiaomiao LiHongxia JiaXin ZhaoQiuhe JiBACKGROUND: Obesity has been demonstrated to be associated with increased serum uric acid (SUA); however, little is known regarding the relationship between maximum weight, or maximum weight fluctuation, and uric acid concentration. Through retrospective means, we determined the association of maximum weight with SUA risk. METHODS: Data of 21,414 participants (8,630 males and 12,784 females) from the 2007-8 China National Diabetes and Metabolic Disorders Study were analyzed for parameters including lifestyle habits, biochemical blood analysis and self-reported maximum weight. RESULTS: Elevated SUA subjects shared a cluster of demographic features. After adjustment for age, gender, education, smoking, drinking, physical activity, WHR, height, eGFR(evaluate glomerular filtration rate), and diuretic usage, multivariate logistic regression models demonstrated maximum weight was associated with increased risk of elevated SUA level (P<0.001). Duration of maximum weight was related with decreased risk of elevated SUA level (P<0.001). There was a significant correlation between time of weight loss and risk of increased SUA level reduction (P<0.001). Furthermore, our data indicated that the degree of weight loss from maximum weight was another important factor for the risk of increased SUA level reduction (P<0.001). Finally, ROC curve analysis revealed area under the curve was 0.661 (95% CI, 0.647-0.674), statistically significant for maximum weight association with hyperuricemia (P<0.001). CONCLUSIONS: Maximum weight is a strong risk factor for increased uric acid level in the Chinese population, which might serve as a novel clinical indicator suggesting hyperuricemia. Controlling maximum weight, keeping weight to the appropriate range, and maintaining the stable weight may be conducive for decreasing risk of hyperuricemia.http://europepmc.org/articles/PMC3511391?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bin Gao Jie Zhou Jiapu Ge Yaping Zhang Fei Chen Wayne B Lau Yi Wan Nanyan Zhang Ying Xing Li Wang Jianfang Fu Xiaomiao Li Hongxia Jia Xin Zhao Qiuhe Ji |
spellingShingle |
Bin Gao Jie Zhou Jiapu Ge Yaping Zhang Fei Chen Wayne B Lau Yi Wan Nanyan Zhang Ying Xing Li Wang Jianfang Fu Xiaomiao Li Hongxia Jia Xin Zhao Qiuhe Ji Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. PLoS ONE |
author_facet |
Bin Gao Jie Zhou Jiapu Ge Yaping Zhang Fei Chen Wayne B Lau Yi Wan Nanyan Zhang Ying Xing Li Wang Jianfang Fu Xiaomiao Li Hongxia Jia Xin Zhao Qiuhe Ji |
author_sort |
Bin Gao |
title |
Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. |
title_short |
Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. |
title_full |
Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. |
title_fullStr |
Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. |
title_full_unstemmed |
Association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 Chinese people. |
title_sort |
association of maximum weight with hyperuricemia risk: a retrospective study of 21,414 chinese people. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2012-01-01 |
description |
BACKGROUND: Obesity has been demonstrated to be associated with increased serum uric acid (SUA); however, little is known regarding the relationship between maximum weight, or maximum weight fluctuation, and uric acid concentration. Through retrospective means, we determined the association of maximum weight with SUA risk. METHODS: Data of 21,414 participants (8,630 males and 12,784 females) from the 2007-8 China National Diabetes and Metabolic Disorders Study were analyzed for parameters including lifestyle habits, biochemical blood analysis and self-reported maximum weight. RESULTS: Elevated SUA subjects shared a cluster of demographic features. After adjustment for age, gender, education, smoking, drinking, physical activity, WHR, height, eGFR(evaluate glomerular filtration rate), and diuretic usage, multivariate logistic regression models demonstrated maximum weight was associated with increased risk of elevated SUA level (P<0.001). Duration of maximum weight was related with decreased risk of elevated SUA level (P<0.001). There was a significant correlation between time of weight loss and risk of increased SUA level reduction (P<0.001). Furthermore, our data indicated that the degree of weight loss from maximum weight was another important factor for the risk of increased SUA level reduction (P<0.001). Finally, ROC curve analysis revealed area under the curve was 0.661 (95% CI, 0.647-0.674), statistically significant for maximum weight association with hyperuricemia (P<0.001). CONCLUSIONS: Maximum weight is a strong risk factor for increased uric acid level in the Chinese population, which might serve as a novel clinical indicator suggesting hyperuricemia. Controlling maximum weight, keeping weight to the appropriate range, and maintaining the stable weight may be conducive for decreasing risk of hyperuricemia. |
url |
http://europepmc.org/articles/PMC3511391?pdf=render |
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