Literature DB >> 22156041

A cohort study of hyperuricemia in middle-aged South Korean men.

Seungho Ryu1, Yoosoo Chang, Yiyi Zhang, Soo-Geun Kim, Juhee Cho, Hee Jung Son, Hocheol Shin, Eliseo Guallar.   

Abstract

Few prospective studies have assessed the incidence and determinants of asymptomatic hyperuricemia in free-living populations. The authors' goals in this study were to estimate the incidence of hyperuricemia and quantify the dose-response relations of specific risk factors with hyperuricemia in middle-aged South Korean male workers. The authors followed a cohort of 10,802 hyperuricemia-free men aged 30-59 years, examining them annually or biennially at a university hospital in Seoul, South Korea, from 2002 to 2009. A parametric Cox model and a pooled logistic regression model were used to estimate adjusted hazard ratios for incident hyperuricemia (defined as serum uric acid level ≥7.0 mg/dL) according to prespecified risk factors. During 51,210.6 person-years of follow-up, 2,496 men developed hyperuricemia (incidence rate = 48.7 per 1,000 person-years, 95% confidence interval: 46.8, 50.7). The incidence of hyperuricema increased across baseline categories of age, body mass index, alcohol intake, blood pressure, metabolic syndrome, high-sensitivity C-reactive protein, triglycerides, gamma-glutamyltransferase, and fatty liver, whereas fasting glucose, estimated glomerular filtration rate, and high density lipoprotein cholesterol levels were inversely associated with incident hyperuricemia. Development of hyperuricemia, a very common outcome among apparently healthy South Korean men, was predicted by a variety of cardiovascular and metabolic risk factors, suggesting that lifestyle modification may help reduce the incidence of hyperuricemia.

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Year:  2011        PMID: 22156041     DOI: 10.1093/aje/kwr291

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  24 in total

1.  Prevalence of hyperuricemia and its associated factors in the general Korean population: an analysis of a population-based nationally representative sample.

Authors:  Yunkyung Kim; Jihun Kang; Geun-Tae Kim
Journal:  Clin Rheumatol       Date:  2018-05-23       Impact factor: 2.980

2.  Temporal relationship between uric acid concentration and risk of diabetes in a community-based study population.

Authors:  Stephen P Juraschek; Mara McAdams-Demarco; Edgar R Miller; Allan C Gelber; Janet W Maynard; James S Pankow; Hunter Young; Josef Coresh; Elizabeth Selvin
Journal:  Am J Epidemiol       Date:  2014-01-12       Impact factor: 4.897

3.  Association between high-sensitivity C-reactive protein and hyperuricemia.

Authors:  Tuo Yang; Xiang Ding; Yi-Lun Wang; Chao Zeng; Jie Wei; Hui Li; Yi-Lin Xiong; Shu-Guang Gao; Yu-Sheng Li; Guang-Hua Lei
Journal:  Rheumatol Int       Date:  2016-02-10       Impact factor: 2.631

4.  Possible role of insulin resistance in activation of plasma xanthine oxidoreductase in health check-up examinees.

Authors:  Masafumi Kurajoh; Shinya Fukumoto; Seigo Akari; Takayo Murase; Takashi Nakamura; Kanae Takahashi; Hisako Yoshida; Shinya Nakatani; Akihiro Tsuda; Tomoaki Morioka; Katsuhito Mori; Yasuo Imanishi; Kazuto Hirata; Masanori Emoto
Journal:  Sci Rep       Date:  2022-06-18       Impact factor: 4.996

5.  Association of kidney disease with prevalent gout in the United States in 1988-1994 and 2007-2010.

Authors:  Stephen P Juraschek; Lara C Kovell; Edgar R Miller; Allan C Gelber
Journal:  Semin Arthritis Rheum       Date:  2013-01-09       Impact factor: 5.532

Review 6.  Hyperuricemia and nonalcoholic fatty liver disease: from bedside to bench and back.

Authors:  Chengfu Xu
Journal:  Hepatol Int       Date:  2015-12-15       Impact factor: 6.047

Review 7.  Hyperuricemia as a Potential Determinant of Metabolic Syndrome.

Authors:  Dhananjay Yadav; Eun Soo Lee; Hong Min Kim; Eun Young Lee; Eunhee Choi; Choon Hee Chung
Journal:  J Lifestyle Med       Date:  2013-09-30

8.  Dose-response association of uncontrolled blood pressure and cardiovascular disease risk factors with hyperuricemia and gout.

Authors:  Stephen P Juraschek; Lara C Kovell; Edgar R Miller; Allan C Gelber
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

9.  Weight change as a predictor of incidence and remission of insulin resistance.

Authors:  Yoosoo Chang; Eunju Sung; Kyung Eun Yun; Hyun-Suk Jung; Chan-Won Kim; Min-Jung Kwon; Sung-Il Cho; Seungho Ryu
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

10.  Higher blood hematocrit predicts hyperuricemia: a prospective study of 62,897 person-years of follow-up.

Authors:  Chao Zeng; Jie Wei; Tuo Yang; Hui Li; Wen-Feng Xiao; Wei Luo; Shu-Guang Gao; Yu-Sheng Li; Yi-Lin Xiong; Guang-Hua Lei
Journal:  Sci Rep       Date:  2015-09-04       Impact factor: 4.379

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