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Linear associations of Chinese visceral adiposity index and its change with hyperuricemia: A prospective cohort study.
Chen, Jia; Liu, Xuejiao; Lu, Shuai; Man, Siliang; Zhang, Liang; Xu, Xiaojie; Deng, Wei; Jiang, Xieyuan.
Affiliation
  • Chen J; Department of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Liu X; Department of Medical Record Management and Statistics, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Lu S; Department of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Man S; Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Zhang L; Department of Orthopedic Surgery, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Xu X; Department of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China.
  • Deng W; Department of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China. Electronic address: dengwei95@163.com.
  • Jiang X; Department of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, 100035 Beijing, China. Electronic address: jxytrauma@163.com.
Nutr Metab Cardiovasc Dis ; 34(11): 2472-2479, 2024 Nov.
Article in En | MEDLINE | ID: mdl-39079837
ABSTRACT
BACKGROUND AND

AIMS:

This study aims to investigate the association of Chinese visceral adiposity index (CVAI) with incident hyperuricemia (HUA). METHODS AND

RESULTS:

We included 5186 adults aged ≥45 years from China Health and Retirement Longitudinal Study. Modified Poisson regression model was used to estimate the relative risks (RRs) of incident HUA associated with baseline CVAI, and logistic model was used to estimate the odds ratios (ORs) of HUA for CVAI change. Restricted cubic splines analysis was adopted to model the dose-response associations. The area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the predictive value of CVAI. During 4-year follow-up, a total of 510 (9.8%) HUA cases were identified. The RRs (95%CIs) of incident HUA were 3.75 (2.85-4.93) for quartile 4 versus quartile 1 and 1.56 (1.45-1.69) for per-standard deviation increase in baseline CVAI. For the analyses of CVAI change, compared with stable group, participants in decreased group had 34% lower risk (OR 0.66, 95%CI 0.49-0.87) and those in increased group had 35% (1.35, 1.03-1.78) higher risk of HUA. Linear associations of baseline CVAI and its change with HUA were observed (Pnonlinear >0.05). Besides, the AUC value for HUA was 0.654 (0.629-0.679), which was higher than other five obesity indices.

CONCLUSIONS:

Our study found linear associations between baseline CVAI and its change and risk of HUA. CVAI had the best predictive performance in predicting incident HUA. These findings suggest CVAI as a reliable obesity index to identify individuals with higher HUA risk.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Hyperuricemia / Intra-Abdominal Fat / Adiposity / Obesity, Abdominal Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Nutr Metab Cardiovasc Dis Journal subject: ANGIOLOGIA / CARDIOLOGIA / CIENCIAS DA NUTRICAO / METABOLISMO Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Hyperuricemia / Intra-Abdominal Fat / Adiposity / Obesity, Abdominal Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Nutr Metab Cardiovasc Dis Journal subject: ANGIOLOGIA / CARDIOLOGIA / CIENCIAS DA NUTRICAO / METABOLISMO Year: 2024 Document type: Article Affiliation country: Country of publication: