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Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study
OBJECTIVE: To analyze the association between serum uric acid (SUA) and metabolic state in obese inpatients and preliminarily explore potential mechanisms of hyperuricemia in obesity. METHODS: A total of 153 obese inpatients were selected and assigned based on SUA level to the normal uric acid (NC g...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886379/ https://www.ncbi.nlm.nih.gov/pubmed/33603427 http://dx.doi.org/10.2147/DMSO.S286299 |
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author | Li, Fen Chen, Sheng Qiu, Xinwen Wu, Jing Tan, Min Wang, Min |
author_facet | Li, Fen Chen, Sheng Qiu, Xinwen Wu, Jing Tan, Min Wang, Min |
author_sort | Li, Fen |
collection | PubMed |
description | OBJECTIVE: To analyze the association between serum uric acid (SUA) and metabolic state in obese inpatients and preliminarily explore potential mechanisms of hyperuricemia in obesity. METHODS: A total of 153 obese inpatients were selected and assigned based on SUA level to the normal uric acid (NC group) or high uric acid (HUA) group. Patients’ sex, age, height, weight, blood pressure, BMI, and prevalence of metabolic syndrome were collected and recorded. SUA, FPG, FIns, HOMA-IR, HOMA-IS, HbA(1c), TGs, TC, LDL-C, and HDL-C levels were tested. Pearson correlation analysis was performed to analyze the correlation between SUA and related metabolic indicators. Logistic regression was performed to analyze independent risk factors of hyperuricemia in obesity. RESULTS: In the HUA group, the patients were predominantly males, and BMI, DBP, TGs, FPG, FIns, HOMA-IR, HOMA-IS, and metabolic syndrome were higher than those in the NC group (P<0.05), while HDL-C was lower than that in the NC group (P<0.05). There were no significant differences between the groups in TC or LDL-C. Pearson correlation analysis showed that in obese patients, SUA was positively correlated with BMI, FIns, HOMA-IR, HOMA-IS, TGs, andmetabolic syndrome and negatively correlated with age and HDL-C. Logistic regression showed that BMI, hyperinsulinemia, and insulin resistance were independent risk factors of hyperuricemia. CONCLUSION: Development of hyperuricemia in obese populations might be correlated with hyperinsulinemia or insulin resistance. |
format | Online Article Text |
id | pubmed-7886379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-78863792021-02-17 Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study Li, Fen Chen, Sheng Qiu, Xinwen Wu, Jing Tan, Min Wang, Min Diabetes Metab Syndr Obes Original Research OBJECTIVE: To analyze the association between serum uric acid (SUA) and metabolic state in obese inpatients and preliminarily explore potential mechanisms of hyperuricemia in obesity. METHODS: A total of 153 obese inpatients were selected and assigned based on SUA level to the normal uric acid (NC group) or high uric acid (HUA) group. Patients’ sex, age, height, weight, blood pressure, BMI, and prevalence of metabolic syndrome were collected and recorded. SUA, FPG, FIns, HOMA-IR, HOMA-IS, HbA(1c), TGs, TC, LDL-C, and HDL-C levels were tested. Pearson correlation analysis was performed to analyze the correlation between SUA and related metabolic indicators. Logistic regression was performed to analyze independent risk factors of hyperuricemia in obesity. RESULTS: In the HUA group, the patients were predominantly males, and BMI, DBP, TGs, FPG, FIns, HOMA-IR, HOMA-IS, and metabolic syndrome were higher than those in the NC group (P<0.05), while HDL-C was lower than that in the NC group (P<0.05). There were no significant differences between the groups in TC or LDL-C. Pearson correlation analysis showed that in obese patients, SUA was positively correlated with BMI, FIns, HOMA-IR, HOMA-IS, TGs, andmetabolic syndrome and negatively correlated with age and HDL-C. Logistic regression showed that BMI, hyperinsulinemia, and insulin resistance were independent risk factors of hyperuricemia. CONCLUSION: Development of hyperuricemia in obese populations might be correlated with hyperinsulinemia or insulin resistance. Dove 2021-02-11 /pmc/articles/PMC7886379/ /pubmed/33603427 http://dx.doi.org/10.2147/DMSO.S286299 Text en © 2021 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Fen Chen, Sheng Qiu, Xinwen Wu, Jing Tan, Min Wang, Min Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title | Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title_full | Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title_fullStr | Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title_full_unstemmed | Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title_short | Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study |
title_sort | serum uric acid levels and metabolic indices in an obese population: a cross-sectional study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886379/ https://www.ncbi.nlm.nih.gov/pubmed/33603427 http://dx.doi.org/10.2147/DMSO.S286299 |
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