ArticleInternational journal of endocrinology2023
Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study.
Article in International journal of endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Sex differences in the impact of sedentary time on early-onset metabolic multimorbidity: evidence from a study of over 20,000 young adults.Biology of sex differences · 2026Article
- Association Between Plant-Based Diets and Metabolic Syndrome in Zhejiang, China: A Cross-Sectional Study.Nutrients · 2025Article
- A systematic review of the connection between serum uric acid levels and the risk of cardiovascular disease.Frontiers in cardiovascular medicine · 2025Review
- Serum uric acid as a diagnostic biomarker for preeclampsia: comparison with renal indices and cerebroplacental ratio.Frontiers in endocrinology · 2025Article
- Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population.Diabetology & metabolic syndrome · 2023Article
- Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study.International journal of endocrinology · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Currently, both metabolic syndrome and hyperuricaemia have attracted extensive attention in public health. The correlation between uric acid and metabolic syndrome is controversial. Research on the relationship between uric acid and metabolic syndrome in community-dwelling elderly people is relatively lacking. The purpose of this study is to explore the relationship between uric acid and metabolic syndrome in the community-dwelling elderly people. Design: Cross-sectional study. Methods: We collected the physical examination data of 1,267 elderly people in Gutian community in Wuhan and used SPSS IBM 25.0 for data analysis. Correlation and logistic regression analyses were performed, and ROC curves were drawn. Results: The uric acid level of the nonmetabolic syndrome group was lower than that of the metabolic syndrome group (337.31 vs. 381.91 Conclusion: We observed an association between uric acid levels and metabolic syndrome in the elderly Chinese population. The best threshold value for uric acid in predicting metabolic syndrome diagnosis was 314.5
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