Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China
Background The prevalence of metabolic syndrome (MS) among the middle-aged and elderly population in China increases with age, serum uric acid to high density lipoprotein cholesterol ratio (UHR) is closely associated with various metabolic diseases, however, there are few studies on the relationship...
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| Format: | Article |
| Language: | zho |
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Chinese General Practice Publishing House Co., Ltd
2024-01-01
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| Series: | Zhongguo quanke yixue |
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| Online Access: | https://www.chinagp.net/fileup/1007-9572/PDF/20230290.pdf |
| _version_ | 1827289953701199872 |
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| author | WU Ruipeng, PENG Cheng, YUAN Bingkun, ZHANG Mengjun, LI Wenyuan |
| author_facet | WU Ruipeng, PENG Cheng, YUAN Bingkun, ZHANG Mengjun, LI Wenyuan |
| author_sort | WU Ruipeng, PENG Cheng, YUAN Bingkun, ZHANG Mengjun, LI Wenyuan |
| collection | DOAJ |
| description | Background The prevalence of metabolic syndrome (MS) among the middle-aged and elderly population in China increases with age, serum uric acid to high density lipoprotein cholesterol ratio (UHR) is closely associated with various metabolic diseases, however, there are few studies on the relationship between UHR and MS in middle-aged and elderly people. Objective To explore the correlation between UHR and MS in middle-aged and elderly people in China, and evaluate the predictive value of UHR for MS. Methods This study used public data from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) and included 9 233 subjects. General data, physical examination indexes and blood biochemical examination indexes were collected from the study subjects and their UHR was calculated. The subjects were divided into the non-MS group (n=7 006) and MS group (n=2 227) according to whether they had MS. At the same time, the subjects were divided into the Q1 group (UHR≤7.32%, n=2 308), Q2 group (7.32%<UHR≤9.45%, n=2 307), Q3 Group (9.45%<UHR≤12.20%, n=2 310) and Q4 group (UHR>12.20%, n=2 308) according to the level of the quartiles of UHR. Pearson correlation analysis was used to explore the correlation between UHR and metabolic indexes. The relationship between UHR and MS was studied by multivariate Logistic regression analysis. The receiver operating characteristic (ROC) curves for the risk of MS predicted by UHR in the overall and by different genders were plotted separately and the areas under the ROC curve (AUC) were calculated. Results The average age of the subjects was (60.3±9.6) years. The proportion of females, age, urban household proportion, history of hypertension, diabetes and dyslipidemia, proportion of taking lipid-lowering drugs, glycated hemoglobin, C-reactive protein, triglyceride (TG), total cholesterol (TC), fasting plasma glucose (FPG), SUA, systolic blood pressure (SBP), diastolic blood pressure (DBP), BMI, waist circumference (WC) and UHR in the MS group were higher than the non-MS group, while HDL-C, low-density lipoprotein cholesterol (LDL-C) and estimated glomerular filtration rate (eGFR) were lower than those in the non-MS group, and there were statistically significant differences in education level, smoking and alcohol consumption between the two groups (P<0.05). With the increase of UHR level, the detection rates of MS, central obesity, hyperglycemia, hypertension, hypertriglyceridemia and low HDL-C in Q1-Q4 groups showed an increasing trend (Ptrend<0.01). There were significant differences in BMI, WC, SBP, DBP, TG, HDL-C, LDL-C, TC, FPG, eGFR and C-reactive protein among Q1-Q4 groups (P<0.01). The results of Pearson correlation analysis showed that UHR was positively correlated with TG, FPG, DBP, SBP, BMI and WC (P<0.01), and negatively correlated with HDL-C (P<0.01). After gender stratification, UHR in males and females were positively correlated with TG, FPG, DBP, SBP, BMI and WC (P<0.01), and negatively correlated with HDL-C (P<0.01). Multivariate Logistic regression analysis showed that compared with the Q1 group, there was an increased risk of MS prevalence in the male Q4 group (OR=3.385, 95%CI=1.778-6.444, P<0.01) and female Q4 group (OR=2.886, 95%CI=1.991-4.184, P<0.01). ROC curve analysis showed that the AUC for UHR predicting MS for the study population was 0.735 (95%CI=0.723-0.746), the AUC for UHR predicting MS for male group was 0.773 (95%CI=0.757-0.790). the AUC for UHR predicting MS for female group was 0.750 (95%CI=0.735-0.766) . Conclusion There was a positive correlation between the increased UHR level and risk of MS among the middle-aged and elderly population in China, UHR closely correlates to MS and its components, UHR might serve as a risk factor and demonstrated good predictive value for MS in middle-aged and elderly people. |
| first_indexed | 2024-04-24T11:59:48Z |
| format | Article |
| id | doaj.art-79efe2e20ec94811bda67af1b9b48242 |
| institution | Directory Open Access Journal |
| issn | 1007-9572 |
| language | zho |
| last_indexed | 2024-04-24T11:59:48Z |
| publishDate | 2024-01-01 |
| publisher | Chinese General Practice Publishing House Co., Ltd |
| record_format | Article |
| series | Zhongguo quanke yixue |
| spelling | doaj.art-79efe2e20ec94811bda67af1b9b482422024-04-09T00:28:53ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722024-01-01270329329910.12114/j.issn.1007-9572.2023.0290Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in ChinaWU Ruipeng, PENG Cheng, YUAN Bingkun, ZHANG Mengjun, LI Wenyuan01School of Health Services Management, Southern Medical University, Guangzhou 510515, China;2School of Public Health, Southern Medical University, Guangzhou 510515, China;3Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaBackground The prevalence of metabolic syndrome (MS) among the middle-aged and elderly population in China increases with age, serum uric acid to high density lipoprotein cholesterol ratio (UHR) is closely associated with various metabolic diseases, however, there are few studies on the relationship between UHR and MS in middle-aged and elderly people. Objective To explore the correlation between UHR and MS in middle-aged and elderly people in China, and evaluate the predictive value of UHR for MS. Methods This study used public data from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) and included 9 233 subjects. General data, physical examination indexes and blood biochemical examination indexes were collected from the study subjects and their UHR was calculated. The subjects were divided into the non-MS group (n=7 006) and MS group (n=2 227) according to whether they had MS. At the same time, the subjects were divided into the Q1 group (UHR≤7.32%, n=2 308), Q2 group (7.32%<UHR≤9.45%, n=2 307), Q3 Group (9.45%<UHR≤12.20%, n=2 310) and Q4 group (UHR>12.20%, n=2 308) according to the level of the quartiles of UHR. Pearson correlation analysis was used to explore the correlation between UHR and metabolic indexes. The relationship between UHR and MS was studied by multivariate Logistic regression analysis. The receiver operating characteristic (ROC) curves for the risk of MS predicted by UHR in the overall and by different genders were plotted separately and the areas under the ROC curve (AUC) were calculated. Results The average age of the subjects was (60.3±9.6) years. The proportion of females, age, urban household proportion, history of hypertension, diabetes and dyslipidemia, proportion of taking lipid-lowering drugs, glycated hemoglobin, C-reactive protein, triglyceride (TG), total cholesterol (TC), fasting plasma glucose (FPG), SUA, systolic blood pressure (SBP), diastolic blood pressure (DBP), BMI, waist circumference (WC) and UHR in the MS group were higher than the non-MS group, while HDL-C, low-density lipoprotein cholesterol (LDL-C) and estimated glomerular filtration rate (eGFR) were lower than those in the non-MS group, and there were statistically significant differences in education level, smoking and alcohol consumption between the two groups (P<0.05). With the increase of UHR level, the detection rates of MS, central obesity, hyperglycemia, hypertension, hypertriglyceridemia and low HDL-C in Q1-Q4 groups showed an increasing trend (Ptrend<0.01). There were significant differences in BMI, WC, SBP, DBP, TG, HDL-C, LDL-C, TC, FPG, eGFR and C-reactive protein among Q1-Q4 groups (P<0.01). The results of Pearson correlation analysis showed that UHR was positively correlated with TG, FPG, DBP, SBP, BMI and WC (P<0.01), and negatively correlated with HDL-C (P<0.01). After gender stratification, UHR in males and females were positively correlated with TG, FPG, DBP, SBP, BMI and WC (P<0.01), and negatively correlated with HDL-C (P<0.01). Multivariate Logistic regression analysis showed that compared with the Q1 group, there was an increased risk of MS prevalence in the male Q4 group (OR=3.385, 95%CI=1.778-6.444, P<0.01) and female Q4 group (OR=2.886, 95%CI=1.991-4.184, P<0.01). ROC curve analysis showed that the AUC for UHR predicting MS for the study population was 0.735 (95%CI=0.723-0.746), the AUC for UHR predicting MS for male group was 0.773 (95%CI=0.757-0.790). the AUC for UHR predicting MS for female group was 0.750 (95%CI=0.735-0.766) . Conclusion There was a positive correlation between the increased UHR level and risk of MS among the middle-aged and elderly population in China, UHR closely correlates to MS and its components, UHR might serve as a risk factor and demonstrated good predictive value for MS in middle-aged and elderly people.https://www.chinagp.net/fileup/1007-9572/PDF/20230290.pdfmetabolic syndrome|uric acid|high density lipoprotein cholesterol|china health and retirement longitudinal study|middle-aged|aged|forecasting |
| spellingShingle | WU Ruipeng, PENG Cheng, YUAN Bingkun, ZHANG Mengjun, LI Wenyuan Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China Zhongguo quanke yixue metabolic syndrome|uric acid|high density lipoprotein cholesterol|china health and retirement longitudinal study|middle-aged|aged|forecasting |
| title | Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China |
| title_full | Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China |
| title_fullStr | Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China |
| title_full_unstemmed | Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China |
| title_short | Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China |
| title_sort | correlation between serum uric acid to high density lipoprotein cholesterol ratio and metabolic syndrome in middle aged and elderly population in china |
| topic | metabolic syndrome|uric acid|high density lipoprotein cholesterol|china health and retirement longitudinal study|middle-aged|aged|forecasting |
| url | https://www.chinagp.net/fileup/1007-9572/PDF/20230290.pdf |
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