Skip to main content
SpringerLink
Log in

Association between hyperuricemia and nontraditional adiposity indices

  • Original Article
  • Published:
Clinical Rheumatology Aims and scope Submit manuscript

Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Kawada T (2018) Hyperuricaemia and type 2 diabetes mellitus. Clin Exp Pharmacol Physiol 45(8):870

    Article  CAS  PubMed  Google Scholar 

  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):1144–1151

    Article  CAS  Google Scholar 

  3. Peng TC, Wang CC, Kao TW, Chan JY, Yang YH, Chang YW et al (2015) Relationship between hyperuricemia and lipid profiles in US adults. Biomed Res Int 2015:127596

    PubMed  PubMed Central  Google Scholar 

  4. Qaseem A, Harris RP, Forciea MA, Clinical Guidelines Committee of the American College of Physicians (2017) Management of acute and recurrent gout: a clinical practice guideline from the American College of Physicians. Ann Intern Med 166(1):58–68

    Article  PubMed  Google Scholar 

  5. Hamburger M, Baraf HS, Adamson TC, Basile J, Bass L, Cole B et al (2011) 2011 recommendations for the diagnosis and management of gout and hyperuricemia. Phys Sportsmed 39(4):98–123

    Article  PubMed  Google Scholar 

  6. Nevill AM, Stewart AD, Olds T, Holder R (2006) Relationship between adiposity and body size reveals limitations of BMI. Am J Phys Anthropol 129(1):151–156

    Article  PubMed  Google Scholar 

  7. Bray GA, Smith SR, de Jonge L, Xie H, Rood J, Martin CK et al (2012) Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA 307(1):47–55

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Gu Z, Li D, He H, Wang J, Hu X, Zhang P et al (2018) Body mass index, waist circumference, and waist-to-height ratio for prediction of multiple metabolic risk factors in Chinese elderly population. Sci Rep 8(1):385

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Yamada A, Sato KK, Kinuhata S, Uehara S, Endo G, Hikita Y et al (2016) Association of visceral fat and liver fat with hyperuricemia. Arthritis Care Res (Hoboken) 68(4):553–561

    Article  CAS  Google 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.

  11. Gu D, Ding Y, Zhao Y, Miao S, Qu Q (2018) Positively increased visceral adiposity index in hyperuricemia free of metabolic syndrome. Lipids Health Dis 17(1):101

    Article  PubMed  PubMed Central  Google Scholar 

  12. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ting K, Gill TK, Keen H, Tucker GR, Hill CL (2016) Prevalence and associations of gout and hyperuricaemia: results from an Australian population-based study. Intern Med J 46(5):566–573

    Article  CAS  PubMed  Google Scholar 

  14. Zhu Y, Pandya BJ, Choi HK (2011) Prevalence of gout and hyperuricemia in the US general population: the National Health and Nutrition Examination Survey 2007-2008. Arthritis Rheum 63(10):3136–3141

    Article  PubMed  Google Scholar 

  15. Kumar AU, Browne LD, Li X, Adeeb F, Perez-Ruiz F, Fraser AD et al (2018) Temporal trends in hyperuricaemia in the Irish health system from 2006-2014: a cohort study. PLoS One 13(5):e0198197

    Article  CAS  Google Scholar 

  16. Lai SW, Tan CK, Ng KC (2000) Epidemiology of hyperglycemia in elderly persons. J Gerontol A Biol Sci Med Sci 55(5):M257–M259

    Article  CAS  PubMed  Google Scholar 

  17. Liu H, Zhang XM, Wang YL, Liu BC (2014) Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling. J Nephrol 27(6):653–658

    Article  CAS  PubMed  Google 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):3050–3058

    CAS  PubMed  Google Scholar 

  19. Chen JH, Pan WH, Hsu CC, Yeh WT, Chuang SY, Chen PY et al (2013) Impact of obesity and hypertriglyceridemia on gout development with or without hyperuricemia: a prospective study. Arthritis Care Res (Hoboken). 65(1):133–140

    Article  PubMed  Google Scholar 

  20. You L, Liu A, Wuyun G, Wu H, Wang P (2014) Prevalence of hyperuricemia and the relationship between serum uric acid and metabolic syndrome in the Asian Mongolian area. J Atheroscler Thromb 21(4):355–365

    Article  PubMed  CAS  Google Scholar 

  21. Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG et al (2011) A better index of body adiposity. Obesity (Silver Spring) 19(5):1083–1089

    Article  PubMed Central  Google Scholar 

  22. Marcadenti A, Fuchs FD, Moreira LB, Gus M, Fuchs SC (2017) Adiposity phenotypes are associated with type-2 diabetes: LAP index, body adiposity index, and neck circumference. Atherosclerosis 266:145–150

    Article  CAS  PubMed  Google Scholar 

  23. Rost S, Freuer D, Peters A, Thorand B, Holle R, Linseisen J et al (2018) New indexes of body fat distribution and sex-specific risk of total and cause-specific mortality: a prospective cohort study. BMC Public Health 18(1):427

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bowman K, Atkins JL, Delgado J, Kos K, Kuchel GA, Ble A et al (2017) Central adiposity and the overweight risk paradox in aging: follow-up of 130,473 UK Biobank participants. Am J Clin Nutr 106(1):130–135

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Zhang J, Fang L, Qiu L, Huang L, Zhu W, Yu Y (2017) Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults. Atherosclerosis 263:263–271

    Article  CAS  PubMed  Google Scholar 

  26. Chen X, Liu Y, Sun X, Yin Z, Li H, Deng K et al (2018) Comparison of body mass index, waist circumference, conicity index, and waist-to-height ratio for predicting incidence of hypertension: the rural Chinese cohort study. J Hum Hypertens 32(3):228–235

    Article  PubMed  Google Scholar 

  27. Kim TH, Lee SS, Yoo JH, Kim SR, Yoo SJ, Song HC et al (2012) The relationship between the regional abdominal adipose tissue distribution and the serum uric acid levels in people with type 2 diabetes mellitus. Diabetol Metab Syndr 4(1):3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Britton KA, Fox CS (2011) Ectopic fat depots and cardiovascular disease. Circulation 124(24):e837–e841

    Article  PubMed  Google Scholar 

  29. Takahashi S, Yamamoto T, Tsutsumi Z, Moriwaki Y, Yamakita J, Higashino K (1997) Close correlation between visceral fat accumulation and uric acid metabolism in healthy men. Metabolism 46(10):1162–1165

    Article  CAS  PubMed  Google Scholar 

  30. Hikita M, Ohno I, Mori Y, Ichida K, Yokose T, Hosoya T (2007) Relationship between hyperuricemia and body fat distribution. Intern Med 46(17):1353–1358

    Article  PubMed  Google Scholar 

  31. Janghorbani M, Aminorroaya A, Amini M (2017) Comparison of different obesity indices for predicting incident hypertension. High Blood Press Cardiovasc Prev 24(2):157–166

    Article  PubMed  Google Scholar 

  32. Wakabayashi I, Daimon T (2015) The “cardiometabolic index” as a new marker determined by adiposity and blood lipids for discrimination of diabetes mellitus. Clin Chim Acta 438:274–278

    Article  CAS  PubMed  Google Scholar 

  33. Krajcoviechova A, Tremblay J, Wohlfahrt P, Bruthans J, Tahir MR, Hamet P et al (2016) The impact of blood pressure and visceral adiposity on the association of serum uric acid with albuminuria in adults without full metabolic syndrome. Am J Hypertens 29(12):1335–1342

    CAS  PubMed  Google Scholar 

  34. Dong H, Xu Y, Zhang X, Tian S (2017) Visceral adiposity index is strongly associated with hyperuricemia independently of metabolic health and obesity phenotypes. Sci Rep 7(1):8822

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Facchini F, Chen YD, Hollenbeck CB, Reaven GM (1991) Relationship between resistance to insulin-mediated glucose uptake, urinary uric acid clearance, and plasma uric acid concentration. JAMA 266(21):3008–3011

    Article  CAS  PubMed  Google Scholar 

  36. Seyed-Sadjadi N, Berg J, Bilgin AA, Grant R (2017) Visceral fat mass: is it the link between uric acid and diabetes risk? Lipids Health Dis 16(1):142

    Article  PubMed  PubMed Central  CAS  Google 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):539–543

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Fan J, Xu JH, Wang J, Wang GZ, Zhang YQ, Liu XZ (2014) Effects of laparoscopic adjustable gastric banding on weight loss, metabolism, and obesity-related comorbidities: 5-year results in China. Obes Surg 24(6):891–896

    Article  PubMed  Google Scholar 

  39. Richette P, Doherty M, Pascual E, Barskova V, Becce F et al (2017) Castañeda-Sanabria J, 2016 updated EULAR evidence-based recommendations for the management of gout. Ann Rheum Dis 76(1):29–42

    Article  CAS  PubMed  Google 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):561–568

    Article  PubMed  Google Scholar 

  41. Nielsen SM, Bartels EM, Henriksen M, Wæhrens EE, Gudbergsen H, Bliddal H et al (2017) Weight loss for overweight and obese individuals with gout: a systematic review of longitudinal studies. Ann Rheum Dis 76(11):1870–1882

    Article  PubMed  PubMed Central  Google Scholar 

  42. Deurenberg P, Deurenberg-Yap M, Guricci S (2002) Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship. Obes Rev 3(3):141–146

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

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.

Funding

This study was supported by grants from Shanghai Changning District Health Planning Commission Project (20144Y007) and National Natural Science Foundation of China (81671595).

Author information

Author notes

  1. Xing Zhen Liu and Hui Hua Li contributed equally to this work.

Authors and Affiliations

  1. Army Convalescence Area, Hangzhou Sanatorium of People’s Liberation Army, Hangzhou, China

    Xing Zhen Liu

  2. Department of Endocrinology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China

    Hui Hua Li & Shan Huang

  3. Department of Rheumatology, Changhai Hospital, Naval Military Medical University (The Second Military Medical University), Shanghai, China

    Dong Bao Zhao

Authors
  1. Xing Zhen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hui Hua Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shan Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dong Bao Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Shan Huang or Dong Bao Zhao.

Ethics declarations

Ethical approval was obtained from the local ethics committee.

Disclosures

None.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, X.Z., Li, H.H., Huang, S. et al. Association between hyperuricemia and nontraditional adiposity indices. Clin Rheumatol 38, 1055–1062 (2019). https://doi.org/10.1007/s10067-018-4374-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10067-018-4374-x

Keywords

Search

Navigation