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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Cai, Ningyu Chen, Mengdie Feng, Ping Zheng, Qidong Zhu, Xianping Yang, Suqing Zhang, Zhaobo Wang, Yiyun |
| Abstract | Background The purpose of this study was to investigate the relationships between generalized, abdominal, and visceral fat obesity and the prevalence of gout in patients with type 2 diabetes mellitus (T2DM). Methods Data were obtained from the electronic medical databases of the National Metabolic Management Center (MMC) of Yuhuan Second People’s Hospital and Taizhou Central Hospital (Taizhou University Hospital) between September 2017 and June 2023. Four obesity indicators were analyzed: waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), and visceral fat area (VFA). The relationships between these parameters and gout prevalence were analyzed using multivariate logistic regression and restricted cubic spline (RCS) analyses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of the four parameters for gout. Results This cross-sectional study enrolled 10,535 participants (600 cases and 9,935 controls). Obesity was more common in patients with gout, and the obesity indicators were markedly higher in this group. After adjustment for confounders, obesity, as defined by BMI, WC, WHR, and VFA, was found to be associated with greater gout prevalence, with odds ratios (OR) of 1.775, 1.691, 1.858, and 1.578, respectively (P < 0.001). The gout odds ratios increased markedly in relation to the obesity indicator quartiles (P-value for trend < 0.001), and the obesity indicators were positively correlated with gout prevalence, as shown using RCS. The area under the ROC curve values for BMI, WC, WHR, and VFA were 0.629, 0.651, 0.634, and 0.633, respectively. Conclusion Obesity—whether general, abdominal, or visceral fat obesity—was positively linked with elevated gout risk. But uncovering the causality behind the relationship requires further prospective study. Obesity indicators (BMI, WC, WHR, and VFA) may have potential value for diagnosing gout in clinical practice. |
| Related Links | https://bmcendocrdisord.biomedcentral.com/counter/pdf/10.1186/s12902-024-01672-8.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726823 |
| DOI | 10.1186/s12902-024-01672-8 |
| Journal | BMC Endocrine Disorders |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-08-02 |
| Access Restriction | Open |
| Subject Keyword | Endocrinology Metabolic Diseases Diabetes Andrology Obesity Gout Type 2 diabetes mellitus Body mass index Waist circumference Waist-to-hip ratio Visceral fat area |
| Content Type | Text |
| Resource Type | Article |
| Subject | Endocrinology, Diabetes and Metabolism |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 3.1/2023 |
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