Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study

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...

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Main Authors: Guqiao Nie, Jing jing Wan, Lei Jiang, Shu kai Hou, Wen Peng
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2023/8080578
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author Guqiao Nie
Jing jing Wan
Lei Jiang
Shu kai Hou
Wen Peng
author_facet Guqiao Nie
Jing jing Wan
Lei Jiang
Shu kai Hou
Wen Peng
author_sort Guqiao Nie
collection DOAJ
description 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 µmol/L; P<0.05). Uric acid was positively correlated with systolic blood pressure (r = 0.177, P<0.001), diastolic blood pressure (r = 0.135, P<0.001), body mass index (r = 0.234, P<0.001), waist circumference (r = 0.283, P<0.001), and triglycerides (r = 0.217, P<0.05). High-density lipoprotein cholesterol (r = −0.268, P<0.001) showed the opposite trend. Logistic regression analysis results suggested that uric acid is a risk factor for metabolic syndrome. The result is described as exp (B) and 95% CI (1.003 [1.001, 1.005]). Based on the receiver operating characteristic curve, we found that the area under the curve of uric acid to diagnose metabolic syndrome was 0.64 (sensitivity: 79.3%, specificity: 45.1%). 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 μmol/l.
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spelling doaj-art-0090fd6fc6cc45b8ab1c8473df87c14b2025-08-20T02:03:13ZengWileyInternational Journal of Endocrinology1687-83452023-01-01202310.1155/2023/8080578Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional StudyGuqiao Nie0Jing jing Wan1Lei Jiang2Shu kai Hou3Wen Peng4Department of General PracticeDepartment of General PracticeDepartment of General PracticeCommunity Health Service CenterDepartment of General PracticeBackground. 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 µmol/L; P<0.05). Uric acid was positively correlated with systolic blood pressure (r = 0.177, P<0.001), diastolic blood pressure (r = 0.135, P<0.001), body mass index (r = 0.234, P<0.001), waist circumference (r = 0.283, P<0.001), and triglycerides (r = 0.217, P<0.05). High-density lipoprotein cholesterol (r = −0.268, P<0.001) showed the opposite trend. Logistic regression analysis results suggested that uric acid is a risk factor for metabolic syndrome. The result is described as exp (B) and 95% CI (1.003 [1.001, 1.005]). Based on the receiver operating characteristic curve, we found that the area under the curve of uric acid to diagnose metabolic syndrome was 0.64 (sensitivity: 79.3%, specificity: 45.1%). 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 μmol/l.http://dx.doi.org/10.1155/2023/8080578
spellingShingle Guqiao Nie
Jing jing Wan
Lei Jiang
Shu kai Hou
Wen Peng
Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
International Journal of Endocrinology
title Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
title_full Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
title_fullStr Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
title_full_unstemmed Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
title_short Correlation Analysis between Uric Acid and Metabolic Syndrome in the Chinese Elderly Population: A Cross-Sectional Study
title_sort correlation analysis between uric acid and metabolic syndrome in the chinese elderly population a cross sectional study
url http://dx.doi.org/10.1155/2023/8080578
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AT leijiang correlationanalysisbetweenuricacidandmetabolicsyndromeinthechineseelderlypopulationacrosssectionalstudy
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