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Association between anthropometric indices and hyperuricemia: a nationwide study in China

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Abstract

This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (BMI), waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), waist circumference-triglyceride index (WTI), and weight-adjusted waist index (WWI). The survey data obtained were disaggregated and analyzed according to sex and age. BMI, WC, BRI, WHtR, LAP, VAI, TyG, WTI, and WWI were all significantly associated with hyperuricemia (P < 0.001). In the total population, WTI (AUC 0.7015, P < 0.001) had the highest predictive power, and WWI (AUC 0.5417, P < 0.001) had the lowest. In addition, after dividing the male and female populations, LAP (AUC 0.6571, P < 0.001 for men; AUC 0.7326, P < 0.001 for women) had the highest predictive power among both men and women. The ABSI (AUC 0.5189, P < 0.001 for men; AUC 0.5788, P < 0.001 for women) had the lowest predictive power among both men and women. BMI, WC, BRI, WHtR, LAP, VAI, TyG, and WTI were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population, WTI had the highest predictive power. After dividing the population by sex, LAP had the highest predictive power in both men and women.

Key Points

• Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power.

• The predictive power of anthropometric indices for hyperuricemia is more useful in women.

• The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient’s serum uric acid concentration.

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Data availability

The datasets generated for this study are available on request to the corresponding authors.

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Acknowledgements

The authors thank the participants of this study. For continuous support, assistance, and cooperation, the authors thank the investigators of the Thyroid Disorders in China Epidemiological Survey Group and the Thyroid Disorders, Iodine Status, and Diabetes Epidemiological Survey Group.

Funding

This study was funded by the Research Fund for Public Welfare, National Health, and Family Planning Commission of China (Grant No. 201402005).

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Author notes

  1. Deshi Chen and Cihang Lu contributed equally to this work and share first authorship.

Authors and Affiliations

  1. The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People’s Republic of China

    Deshi Chen, Cihang Lu, Kang Chen, Tingting Liu, Yongze Li, Zhongyan Shan & Weiping Teng

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  1. Deshi Chen
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the Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)

Contributions

Deshi Chen and Cihang Lu contributed equally to this work and share first authorship. Deshi Chen contributed to the writing of the article. Cihang Lu analyzed the data. KangChen, Tingting Liu, Yongze Li, Zhongyan Shan, Weiping Teng, et al. made important contributions to the collection and detection of data. All authors contributed to the article and approved the submitted version.

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Correspondence to Kang Chen.

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The studies involving human participants were reviewed and approved by Medical Ethics Committee of China Medical University. The patients/participants provided their written informed consent to participate in this study.

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Chen, D., Lu, C., Chen, K. et al. Association between anthropometric indices and hyperuricemia: a nationwide study in China. Clin Rheumatol 43, 907–920 (2024). https://doi.org/10.1007/s10067-024-06884-w

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