Association between hyperuricemia and nontraditional adiposity indices
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The association between several novel adiposity indices and hyperuricemia is inconclusive. Therefore, we aimed to investigate this association so as to provide theoretical support for the management of hyperuricemia in overweight/obese individuals.
A cross-sectional study was carried out among 174,698 adults. The values of body adiposity index (BAI), conicity index (CI), a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), lipid accumulation product (LAP) index, and cardiometabolic index (CMI) were divided into four quartiles, and multivariate logistic analysis was used to analyze the association between them and hyperuricemia. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the power of predictions for hyperuricemia.
After adjusting for confounding variables, LAP and CMI exhibited stronger association with hyperuricemia than other indices. The odd ratio (OR) for hyperuricemia in the highest quartile of the LAP and CMI was 2.049 (CI 95% = 1.824–2.302) and 4.332(CI 95% = 3.938–4.765). The AUC value of LAP was 0.632 (95% CI = 0.626–0.637), p < 0.001; and the AUC value of CMI was 0.687 (95% CI = 0.682–0.692), p < 0.001. The optimal cutoff values of LAP and CMI were 26.21 and 0.485, respectively.
LAP and CMI, combination of WC and lipid parameters and reliable visceral adiposity indices, were strongly associated with hyperuricemia than other indices. So they could be potential monitoring indicators for hyperuricemia management in overweight/obese individuals.
KeywordsAdiposity indices Hyperuricemia Obesity
In the preparation and implementation of this study, we get a lot of selfless help. All of our authors thank all those who have helped us.
This study was supported by grants from Shanghai Changning District Health Planning Commission Project (20144Y007) and National Natural Science Foundation of China (81671595).
Compliance with ethical standards
Ethical approval was obtained from the local ethics committee.
- 2.von Lueder TG, Girerd N, Atar D, Agewall S, Lamiral Z, Kanbay M et al (2015) High-risk myocardial infarction database initiative investigators. Serum uric acid is associated with mortality and heart failure hospitalizations in patients with complicated myocardial infarction: findings from the high-risk myocardial infarction database initiative. Eur J Heart Fail 17(11):1144–1151CrossRefGoogle Scholar
- 10.Wang H, Sun Y, Wang S, Qian H, Jia P, Chen Y et al (2018 May 16) Body adiposity index, lipid accumulation product, and cardiometabolic index reveal the contribution of adiposity phenotypes in the risk of hyperuricemia among Chinese rural population. Clin Rheumatol. https://doi.org/10.1007/s10067-018-4143-x. CrossRefGoogle Scholar
- 18.Yang X, Xiao Y, Liu K, Jiao X, Lin X, Wang Y et al (2018) Prevalence of hyperuricemia among the Chinese population of the southeast coastal region and association with single nucleotide polymorphisms in urate-anion exchanger genes: SLC22A12, ABCG2 and SLC2A9. Mol Med Rep 18(3):3050–3058PubMedGoogle Scholar
- 37.Dessein PH, Shipton EA, Stanwix AE, Joffe BI, Ramokgadi J (2000) Beneficial effects of weight loss associated with moderate calorie/carbohydrate restriction, and increased proportional intake of protein and unsaturated fat on serum urate and lipoprotein levels in gout: a pilot study. Ann Rheum Dis 59(7):539–543CrossRefGoogle Scholar
- 40.Dalbeth N, Bardin T, Doherty M, Lioté F, Richette P, Saag KG et al (2017) Discordant American College of Physicians and international rheumatology guidelines for gout management: consensus statement of the Gout, Hyperuricemia and Crystal-Associated Disease Network (G-CAN). Nat Rev Rheumatol 13(9):561–568CrossRefGoogle Scholar