Literature DB >> 18634142

Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China.

Zhimin Miao1, Changgui Li, Ying Chen, Shihua Zhao, Yangang Wang, Zhongchao Wang, Xinyan Chen, Feng Xu, Fang Wang, Ruixia Sun, Jianxia Hu, Wei Song, Shengli Yan, Cong-Yi Wang.   

Abstract

OBJECTIVE: To demonstrate the prevalence of hyperuricemia and gout associated with dietary and lifestyle changes and evaluate the implication of metabolic disorders to the development of hyperuricemia.
METHODS: Data collected from 5,003 subjects randomly recruited from 5 coastal cities (Qingdao, Rizhao, Yantai, Weihai, and Dongying) of Shandong province in Eastern China were analyzed.
RESULTS: Overall, the prevalence for hyperuricemia and gout in the studied populations was 13.19% and 1.14%, respectively. The prevalence was significantly higher in men as compared to women (18.32% vs 8.56% for hyperuricemia, 1.94% vs 0.42% for gout). Hyperuricemia was more common in men over age 30 and in women over age 50. A significant steady increase for the prevalence was noted as compared to the previous published data. Urban residents showed much higher prevalence of hyperuricemia as compared to rural residents (14.9% vs 10.1%, p = 0.004). Similarly, higher prevalence was noted in the developed city compared to the less developed city (18.02 vs 5.3%). These discrepancies were highly correlated with economic development as manifested by the increase of daily consumption of meat and seafood. Additionally, alcohol, overweight or obesity, hypertension, and abnormal triglycerides were highly associated with higher prevalence of hyperuricemia. Moreover, hyperuricemia is likely a risk factor for the development of diabetes mellitus.
CONCLUSION: There was a remarkable increase for the prevalence of hyperuricemia and gout, which is highly correlated with the development of the economy as manifested by dietary and lifestyle changes.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18634142

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  96 in total

1.  Purine-rich foods, protein intake, and the prevalence of hyperuricemia: the Shanghai Men's Health Study.

Authors:  R Villegas; Y-B Xiang; T Elasy; W H Xu; H Cai; Q Cai; M F Linton; S Fazio; W Zheng; X-O Shu
Journal:  Nutr Metab Cardiovasc Dis       Date:  2011-01-28       Impact factor: 4.222

2.  Orthopaedic case of the month: medial knee pain in a 69-year-old man.

Authors:  Rej S Bhumbra; Monica Khanna; Brendan C Dickson; Peter C Ferguson
Journal:  Clin Orthop Relat Res       Date:  2010-10-19       Impact factor: 4.176

3.  Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling.

Authors:  Hong Liu; Xiao-Min Zhang; Yan-Li Wang; Bi-Cheng Liu
Journal:  J Nephrol       Date:  2014-04-01       Impact factor: 3.902

4.  Can soy intake affect serum uric acid level? Pooled analysis from two 6-month randomized controlled trials among Chinese postmenopausal women with prediabetes or prehypertension.

Authors:  Z M Liu; C S Ho; Y M Chen; J Woo
Journal:  Eur J Nutr       Date:  2015-02       Impact factor: 5.614

5.  Expression of PYCARD gene transcript variant mRNA in peripheral blood mononuclear cells of primary gout patients with different Chinese medicine syndromes.

Authors:  Wan-Tai Dang; Wen-Guang Xie; Jing-Guo Zhou
Journal:  Chin J Integr Med       Date:  2017-10-30       Impact factor: 1.978

6.  The rising prevalence and incidence of gout in British Columbia, Canada: Population-based trends from 2000 to 2012.

Authors:  Sharan K Rai; J Antonio Aviña-Zubieta; Natalie McCormick; Mary A De Vera; Kam Shojania; Eric C Sayre; Hyon K Choi
Journal:  Semin Arthritis Rheum       Date:  2016-08-17       Impact factor: 5.532

Review 7.  Global epidemiology of gout: prevalence, incidence and risk factors.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Weiya Zhang; Michael Doherty
Journal:  Nat Rev Rheumatol       Date:  2015-07-07       Impact factor: 20.543

Review 8.  Determinants of the prevalence of gout in the general population: a systematic review and meta-regression.

Authors:  José M A Wijnands; Wolfgang Viechtbauer; Kristof Thevissen; Ilja C W Arts; Pieter C Dagnelie; Coen D A Stehouwer; Sjef van der Linden; Annelies Boonen
Journal:  Eur J Epidemiol       Date:  2014-07-27       Impact factor: 8.082

9.  Genetic variations in the CLNK gene and ZNF518B gene are associated with gout in case-control sample sets.

Authors:  Tian-Bo Jin; Yongchao Ren; Xugang Shi; Mutu Jiri; Na He; Tian Feng; Dongya Yuan; Longli Kang
Journal:  Rheumatol Int       Date:  2015-01-17       Impact factor: 2.631

10.  The degree of asymptomatic hyperuricemia and the risk of gout. A retrospective analysis of a large cohort.

Authors:  Hadar Duskin-Bitan; Eytan Cohen; Elad Goldberg; Tzippy Shochat; Amos Levi; Moshe Garty; Ilan Krause
Journal:  Clin Rheumatol       Date:  2014-02-13       Impact factor: 2.980

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.