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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.

Titel:	Association between anthropometric indices and hyperuricemia: a nationwide study in China.
Autor/in / Beteiligte Person:	Chen, D ; Lu, C ; Chen, K ; Liu, T ; Li, Y ; Shan, Z ; Teng, W
Link:	Full Text Finder (Volltext)
Zeitschrift:	Clinical rheumatology, Jg. 43 (2024-03-01), Heft 3, S. 907-920
Veröffentlichung:	<2008->: Heidelberg : Springer ; <i>Original Publication</i>: Brussels : Acta Medica Belgica, [1982-, 2024
Medientyp:	academicJournal
ISSN:	1434-9949 (electronic)
DOI:	10.1007/s10067-024-06884-w
Schlagwort:	Adult Humans Male Female Uric Acid Risk Factors Cross-Sectional Studies Body Mass Index Waist Circumference China epidemiology Triglycerides Obesity complications Hyperuricemia epidemiology Hyperuricemia complications
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Corporate Authors: Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE) Publication Type: Journal Article Language: English [Clin Rheumatol] 2024 Mar; Vol. 43 (3), pp. 907-920. <i>Date of Electronic Publication: </i>2024 Feb 05. MeSH Terms: Obesity* / complications ; Hyperuricemia* / epidemiology ; Hyperuricemia* / complications ; Adult ; Humans ; Male ; Female ; Uric Acid ; Risk Factors ; Cross-Sectional Studies ; Body Mass Index ; Waist Circumference ; China / epidemiology ; Triglycerides References: So A, Thorens B (2010) Uric acid transport and disease. J Clin Invest 120(6):1791–1799. https://doi.org/10.1172/JCI42344. (PMID: 10.1172/JCI42344205166472877959) ; Dehlin M, Jacobsson L, Roddy E (2020) Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors. Nat Rev Rheumatol 16(7):380–390. https://doi.org/10.1038/s41584-020-0441-1. 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Association between anthropometric indices and hyperuricemia: a nationwide study in China.