The association of anthropometry indices with gout in Taiwanese men

BMC Endocrine Disorders

Yung-Po Liaw²  Yi-Chen Chiang²  Shih-Chang Chen¹  Chien-Chang Ho⁵  Jing-Yang Huang⁴  Pei-Chieh Ko⁴  Zhi-Hong Jian⁴  Ting-Sung Liu⁴  Chia-Chi Lung²  Wen-Yu Lin³ 

[1] Department of Leisure Industry and Health Promotion, National Ilan University, Yilan City 260, Taiwan;Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung City 40201, Taiwan;Jen-Ai Hospital, Taichung City, 41265, Taiwan;Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan;Department of Health and Leisure Management, Yuanpei University, Hsinchu City 300, Taiwan

关键词: Waist to height ratio;    Anthropometry;    Gout;   

Others  :  1085748
DOI  :  10.1186/1472-6823-13-30

 received in 2013-03-29, accepted in 2013-06-24,  发布年份 2013

【 摘 要 】

Background

To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men.

Methods

There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men.

Results

After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57.

Conclusions

WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC.

【 授权许可】

   
2013 Lin et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 2.

【 参考文献 】

• [1]Chuang SY, Lee SC, Hsieh YT, Pan WH: Trends in hyperuricemia and gout prevalence: nutrition and health survey in Taiwan from 1993–1996 to 2005–2008. Asia Pac J Clin Nutr 2011, 20(2):301-308.
• [2]Chang HY, Pan WH, Yeh WT, Tsai KS: Hyperuricemia and gout in Taiwan: results from the nutritional and health survey in Taiwan (1993–96). J Rheumatol 2001, 28(7):1640-1646.
• [3]Kok VC, Horng JT, Lin HL, Chen YC, Chen YJ, Cheng KF: Gout and subsequent increased risk of cardiovascular mortality in non-diabetics aged 50 and above: a population-based cohort study in Taiwan. BMC Cardiovasc Disord 2012, 12:108. BioMed Central Full Text
• [4]Kuo CF, See LC, Yu KH, Chou IJ, Chiou MJ, Luo SF: Significance of serum uric acid levels on the risk of all-cause and cardiovascular mortality. Rheumatology 2013, 52(1):127-134.
• [5]Kuo CF, Yu KH, See LC, Chou IJ, Ko YS, Chang HC, et al.: Risk of myocardial infarction among patients with gout: a nationwide population-based study. Rheumatology 2013, 52(1):111-117.
• [6]Kuo CF, Yu KH, See LC, Chou IJ, Tseng WY, Chang HC, et al.: Elevated risk of mortality among gout patients: a comparison with the national population in Taiwan. Joint Bone Spine 2011, 78(6):577-580.
• [7]Tamba S, Nishizawa H, Funahashi T, Okauchi Y, Ogawa T, Noguchi M, et al.: Relationship between the serum uric acid level, visceral fat accumulation and serum adiponectin concentration in Japanese men. Intern Med 2008, 47(13):1175-1180.
• [8]Takahashi S, Yamamoto T, Tsutsumi Z, Moriwaki Y, Hada T: Increased visceral fat accumulation in patients with primary gout. Adv Exp Med Biol 2000, 486:131-134.
• [9]Janssen I, Katzmarzyk PT, Ross R: Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004, 79(3):379-384.
• [10]Li C, Hsieh MC, Chang SJ: Metabolic syndrome, diabetes, and hyperuricemia. Curr Opin Rheumatol 2013, 25(2):210-216.
• [11]Chou P, Lin KC, Lin HY, Tsai ST: Gender differences in the relationships of serum uric acid with fasting serum insulin and plasma glucose in patients without diabetes. J Rheumatol 2001, 28(3):571-576.
• [12]de Oliveira EP, Moreto F, Silveira LV, Burini RC: Dietary, anthropometric, and biochemical determinants of uric acid in free-living adults. Nutr J 2013, 12:11. BioMed Central Full Text
• [13]Perticone F, Sciacqua A, Perticone M, Arturi F, Scarpino PE, Quero M, et al.: Serum uric acid and 1-h postload glucose in essential hypertension. Diabetes care 2012, 35(1):153-157.
• [14]So A, Thorens B: Uric acid transport and disease. J Clin Invest 2010, 120(6):1791-1799.
• [15]Roddy E, Doherty M: Epidemiology of gout. Arthritis Res Ther 2010, 12(6):223. BioMed Central Full Text
• [16]Lin KC, Lin HY, Chou P: The interaction between uric acid level and other risk factors on the development of gout among asymptomatic hyperuricemic men in a prospective study. J Rheumatol 2000, 27(6):1501-1505.
• [17]Chen SY, Chen CL, Shen ML: Manifestations of metabolic syndrome associated with male gout in different age strata. Clin Rheumatol 2007, 26(9):1453-1457.
• [18]Choi HK, Atkinson K, Karlson EW, Curhan G: Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study. Arch Intern Med 2005, 165(7):742-748.
• [19]Pan WH, Kao MD, Tzeng MS, Yen LL, Hung YT, Li LA, et al.: Nutrition and health survey in Taiwan (NAHSIT) 1993–1996: design, contents, and operations. Nutr Sci J 1999, 24(1):1-10.
• [20]Pan WH, Chang HY, Yeh WT, Hsiao SY, Hung YT: Prevalence, awareness, treatment and control of hypertension in Taiwan: results of Nutrition and Health Survey in Taiwan (NAHSIT) 1993–1996. J Hum Hypertens 2001, 15(11):793-798.
• [21]Lin KC, Lin HY, Chou P: Community based epidemiological study on hyperuricemia and gout in Kin-Hu, Kinmen. J Rheumatol 2000, 27(4):1045-1050.
• [22]Pan WH, Lee MS, Chuang SY, Lin YC, Fu ML: Obesity pandemic, correlated factors and guidelines to define, screen and manage obesity in Taiwan. Obes Rev 2008, 9(Suppl 1):22-31.
• [23]Alberti KG, Zimmet P, Shaw J: The metabolic syndrome–a new worldwide definition. Lancet 2005, 366(9491):1059-1062.
• [24]Schneider HJ, Glaesmer H, Klotsche J, Bohler S, Lehnert H, Zeiher AM, et al.: Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. J Clin Endocrinol Metab 2007, 92(2):589-594.
• [25]Schneider HJ, Friedrich N, Klotsche J, Pieper L, Nauck M, John U, et al.: The predictive value of different measures of obesity for incident cardiovascular events and mortality. J Clin Endocrinol Metab 2010, 95(4):1777-1785.
• [26]Chu NF, Wang DJ, Liou SH, Shieh SM: Relationship between hyperuricemia and other cardiovascular disease risk factors among adult males in Taiwan. Eur J Epidemiol 2000, 16(1):13-17.
• [27]Villegas R, Xiang YB, Cai Q, Fazio S, Linton M, Li H, et al.: Prevalence and determinants of hyperuricemia in middle-aged, urban Chinese men. Metab Syndr Relat Disord 2010, 8(3):263-270.
• [28]Chen CC, Wang WS, Chang HY, Liu JS, Chen YJ: Heterogeneity of body mass index, waist circumference, and waist-to-hip ratio in predicting obesity-related metabolic disorders for Taiwanese aged 35–64 y. Clin Nutr 2009, 28(5):543-548.
• [29]Chen JH, Pan WH, Hsu CC, Yeh WT, Chuang SY, Chen PY, et al.: Impact of obesity and hypertriglyceridemia on gout development with or without hyperuricemia: a prospective study. Arthritis Care Res 2013, 65(1):133-140.
• [30]Hsieh SD, Yoshinaga H, Muto T: Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 2003, 27(5):610-616.
• [31]Lyu LC, Hsu CY, Yeh CY, Lee MS, Huang SH, Chen CL: A case–control study of the association of diet and obesity with gout in Taiwan. Am J Clin Nutr 2003, 78(4):690-701.
• [32]Pluta RM, Shmerling RH, Burke AE, Livingston EH: JAMA patient page. Gout. JAMA 2012, 308(20):2161.
• [33]McAdams MA, Maynard JW, Baer AN, Kottgen A, Clipp S, Coresh J, et al.: Reliability and sensitivity of the self-report of physician-diagnosed gout in the campaign against cancer and heart disease and the atherosclerosis risk in the community cohorts. J Rheumatol 2011, 38(1):135-141.