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Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
Open accessAbstract
Objective: To determine the nationwide prevalence of hyperuricemia in China and evaluate its trends and associated risk factors. Methods: Using a multi-stage, stratified, cluster-randomized sampling design, two cross-sectional surveys (representative of national and provincial information) were conducted in 31 provinces (autonomous regions and municipalities) in mainland China, with 166, 861 Chinese adults in 2015–16 and 168, 351 in 2018–19. Serum uric acid (SUA) levels of all participants were measured after a >10-hour overnight fast. Hyperuricemia (HUA) was defined when SUA was >420 μmol/L. Prevalence estimates were weighted to represent the total population considering the complex sampling design. Multivariable logistic regression models was used to estimate factors associated with HUA. Results: The overall hyperuricemia prevalence in the Chinese adult population was 11.1% (95% confidence interval 10.3% to 11.8%) in 2015–16 and 14.0% (13.1% to 14.8%) in 2018–19; an alarming rise was observed in the three years. Hyperuricemia was more common in men with 19.3% (17.9% to 20.7%) in 2015–16 and 24.4% (23.0% to 25.8%) in 2018–19, although the prevalence also escalated from 2.8% (2.5% to 3.0%) in 2015–16 to 3.6% (3.2% to 4.0%) in 2018–19 in women. The hyperuricemia risk factors include the urban culture, settlement in the East, Zhuang descent, high education, heavy or frequent beer drinking, high red meat intake, physical inactivity, high body mass index, central obesity, hypertension, hyperlipidemia, and low glomerular filtration rate. Conclusion: The estimated hyperuricemia prevalence among Chinese adults was 14.0% in 2018-19; significant escalating trends were observed between 2015-16 and 2018-19.
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Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
Levey, A. S., Coresh, J., Bolton, K., Culleton, B. F., Harvey, K. S., Ikizler, T. A., Johnson, C. A., Kausz, A., Kimmel, P. L., Kusek, J. W., et al. (2002) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 11,633
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors
Dehlin, M., Jacobsson, L., & Roddy, E. (2020) · Nature Reviews Rheumatology · doi:10.1038/s41584-020-0441-1 · Cited by 1,370
Chen‐Xu, M., Yokose, C., Rai, S. K., Pillinger, M. H., & Choi, H. K. (2019) · Arthritis & Rheumatology · doi:10.1002/art.40807 · Cited by 1,072
Choi, H. K., Mount, D. B., & Reginato, A. M. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-7-200510040-00009 · Cited by 942
2020 American College of Rheumatology Guideline for the Management of Gout
FitzGerald, J. D., Dalbeth, N., Mikuls, T., Brignardello‐Petersen, R., Guyatt, G., Abeles, A. M., Gelber, A. C., Harrold, L. R., Khanna, D., King, C., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41247 · Cited by 810
Self-citation[2010 Chinese guidelines for the management of hypertension].
Liu, L. (2011) · PubMed · Cited by 698
2016 Chinese guidelines for the management of dyslipidemia in adults.
(2018) · PubMed · doi:10.11909/j.issn.1671-5411.2018.01.011 · Cited by 457
Liu, S., Wu, X., Lopez, A. D., Wang, L., Cai, Y., Page, A., Yin, P., Liu, Y., Li, Y., Liu, J., et al. (2016) · Bulletin of the World Health Organization · doi:10.2471/blt.15.153148 · Cited by 395
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Metadata
- Authors
- Zhang, M., Zhu, X., Wu, J., Huang, Z., Zhao, Z., Zhang, X., Xue, Y., Wan, W., Li, C., Zhang, W., Wang, L., Zhou, M., Zou, H., & Wang, L.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2022-02-07
- Volume
- 12
- Pages
- 791983-791983
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W4226218623
- Cited by
- 367
- References
- 30
- FWCI
- 40.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhang, M., Zhu, X., Wu, J., Huang, Z., Zhao, Z., Zhang, X., Xue, Y., Wan, W., Li, C., Zhang, W., Wang, L., Zhou, M., Zou, H., & Wang, L. (2022). Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2021.791983
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