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The association between hyperuricemia and betel nut chewing in Taiwanese men: a cross-sectional study



Studies have associated betel nut chewing with cancers, metabolic syndrome, cardiovascular disorders, chronic kidney disease, and proteinuria. This study investigated whether hyperuricemia is associated with betel nut chewing in men who participated in a health check-up program.


From hospital records, we identified a total of 11,991 men who participated in the health check-up program from 2003 to 2009. They were divided into hyperuricemic group and non-hyperuricemic group. Laboratory tests, medical history, and status of cigarette smoking, alcohol consumption, and betel nut chewing were compared between the 2 groups. We calculated odds ratio (OR) and 95% confidence interval (CI) of hyperuricemia in association with betel nut consumption and other factors.


Compared with the non-hyperuricemic group, the hyperuricemic group was slightly older (59.4 vs. 58.6 years) but less prevalent with betel nut use (11.8 vs. 13.6%, p = 0.003). Multivariable logistic regression analysis showed that hyperuricemia was negatively associated with betel nut chewing (OR 0.75, 95% CI 0.66-0.84), older age (OR 0.84, 95% CI 0.77-0.93), and diabetes mellitus (OR 0.57, 95% CI 0.50-0.64). On the other hand, hyperuricemia was positively associated with body mass index (OR 1.75, 95% CI 1.62-1.90), drinking (OR 1.36, 95% CI 1.25-1.49), hypertension (OR 1.41, 95% CI 1.30-1.52), mixed hyperlipidemia (OR 1.84, 95% CI 1.33-2.54), chronic kidney disease (OR 3.28, 95% CI 2.94-3.65), and proteinuria (OR 1.22, 95% CI 1.08-1.38). Smoking, hypercholesterolemia, and hypertriglyceridemia had no significant association with hyperuricemia.


Our data suggest that betel nut chewing is negatively associated with hyperuricemia.

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Betel nut chewing, a common unhealthy behavior in Southeast Asian countries, is the fourth most popular risky habit in the world after smoking, drinking alcohol, and caffeine consumption. Approximately 600 million people use this substance globally [1, 2]. The prevalence rate of betel nut chewing in Taiwan has been estimated to be 12.2% – 16.5% in two large studies [3, 4]. Previous studies have shown that betel nut chewing is related to several disorders, such as metabolic syndrome [5], cardiovascular disease (CVD) [6, 7], hypertension [8], chronic kidney disease [9] and proteinuria [10].

Recent epidemiological and clinical studies have also suggested a close relationship between hyperuricemia and metabolic syndrome [11], CVD [12], hypertension [13], and chronic kidney disease [14]. Based on both the revised and original National Cholesterol Education Program Adult Treatment Panel (NCEP/ATP) III criteria defined metabolic syndrome, Choi et al. found that individuals with uric acid levels of ≥10 mg/dL are 3-fold more likely than those with serum uric acid levels of <6 mg/dL to be prevalent with metabolic syndrome [11]. In an Italian study, Verdecchia et al. reported that study population with a higher serum uric acid level (>6.2 mg/dL for men and >4.6 mg/dL for women) have increased risk for cardiovascular events and fatal cardiovascular events [12]. A Taiwanese population study reported that adults older than 40 with hyperuricemia had an odds ratio (OR) of 3.65 for chronic kidney disease [14].

Although betel nut chewing and hyperuricemia share a high degree of similarity in their comorbid conditions, there is no known research exploring the relationship between betel nut chewing and hyperuricemia. The association between them deserves further clarification. The purpose of this study was to investigate the association between betel nut chewing and hyperuricemia.


Study subjects

Detailed study design and definitions of variables for this study have been reported in a previous study [9]. Briefly, all 34 372 participants attending the Taiwan National Health Insurance Bureau sponsored health check-up program at our hospital from 2003 to 2009 were included in this study. For 1481 participants with multiple check-ups, only their first check-up records were used. Participants (n = 5409) with incomplete records were excluded. The institutional review board of the Ditmanson Medical Foundation Chia-Yi Christian Hospital has approved the present study.

Clinical and demographic variables

All participants were required to complete a self-reported questionnaire for information on sociodemographic status, lifestyle, and personal medical history with the assistance of trained volunteers. Frequency and amount of smoking, drinking and betel nut chewing “in the past 6 months” were reported. They reported personal medical history in regarding to chronic kidney disease, diabetes mellitus, hypertension, hyperlipidemia, hyperuricemia, liver dysfunction, and anemia. The health check up consisted of anthropometric measurements, and blood and urine specimens measured with standard automated technology after 8 hours of overnight fasting, such as systolic blood pressure (SBP), diastolic blood pressure (DBP), serum creatinine, total cholesterol, triglycerides, uric acid, fasting blood glucose, alanine aminotransferase, hemoglobin, white blood cell count, and urinary biochemical and microscopic examination of sediment. The Modification of Diet in Renal Disease (MDRD) formula was used to calculate estimated glomerular filtration rate (eGFR) [15].

Definitions of variables

Hyperuricemia was defined as a serum uric acid concentration >7.0 mg/dl for men [16]. Chronic kidney disease was defined as an eGFR less than 60 ml/min/1.73 m2 calculated using the MDRD formula [15]. Hypertension was defined as the use of antihypertensive medications, or SBP >140 mmHg or DBP >90 mmHg [17]. Diabetes mellitus was defined as a fasting plasma glucose level equal to or over 126 mg/dl or a known history of diabetes with or without medication [18]. Hyperlipidemia was defined as having a serum total cholesterol level >200 mg/dl, and/or triglycerides > 150 mg/dl, or a past personal history of high total cholesterol or triglycerides with or without medication [19]. Participants were considered to be non-smokers if they reported that they did not smoke, or as smokers if they smoked socially, occasionally or irregularly regardless of the amount in the previous 6 months. They were considered to be non-chewers if they reported that they did not consume any betel nut at all, or as chewers if they consumed betel nut socially, occasionally or irregularly in the previous 6 months. They were considered to be non-drinkers if they reported that they did not consume any alcohol and as drinkers if they consumed alcohol socially, occasionally or irregularly regardless of the amount in the previous 6 months. Proteinuria was defined as having a +/− or heavier protein response (including + to 4+) in a urine dipstick test.

Laboratory measures

Biochemical tests including total cholesterol, triglycerides, uric acid, and serum creatinine were measured by an automatic analyzer (Hitachi 7170, Hitachi High Technologies Co. Tokyo, Japan). The reagents for all biochemical tests were manufactured by Wako Pure Chemical Industries, Ltd., Japan. Dipstick urine analysis was performed by an automated chemical analyzer (URISYS 2400, Roche Diagnostic, Germany).

Statistical analysis

Comparative data about the presence or absence of hyperuricemia were reported as means and standard deviations or numbers and percentages as appropriate. Demographics, clinical characteristics and comorbid conditions were analyzed by the Student’s t test for continuous variables and by the x 2 test for categorical variables.

To determine the association between betel nut chewing and hyperuricemia, we utilized a univariate and stepwise multivariate logistic regression models. Covariates significant at the univariate analysis were included in the multivariate analysis to further clarify associations between betel nut chewing and hyperuricemia and other variables. In addition to examining confounding effects between betel nut chewing and other variables, we checked evidence of interaction among them as needed.

All analyses were carried out using the SPSS for Windows statistical software package version 18 (SPSS Inc., Chicago, IL, USA). For all difference estimates and odds ratios, we calculated 95% confidence intervals (95% CIs). P values < 0.05 were considered to be statistically significant.


A total of 11,991 male participants (mean age 58.9 ± 12.1 years) were included in the data analysis (Table 1). Among them, 4,702 (39.2%) individuals were found to have hyperuricemia with the mean level of 8.36 (SD 1.17) mg/dl. Subjects with hyperuricemia tended to be older and to have higher mean values of body mass index (BMI), SBP, DBP, serum creatinine, total cholesterol, and triglycerides, but lower values of eGFR and fasting plasma glucose (p <0.001 for all).

Table 1 Demographic and biochemical variables compared between hyperuricemic and non-hyperuricemic groups

Table 2 shows that the prevalence of betel nut chewing was lower in participants with hyperuricemia than in participants without hyperuricemia (11.8% vs. 13.6%). Those with hyperuricemia were more prevalent with alcohol consumption, chronic kidney disease, hypertension, mixed hyperlipidemia, and proteinuria, but less likely to be overweight and to have diabetes. The logistic regression analysis measured ORs for the corresponding associations are shown in Table 3.

Table 2 Personal behaviors and co-morbid conditions compared between hyperuricemic and non-hyperuricemic groups
Table 3 The crude and adjusted odds ratios (aOR) for hyperuricemia by logistic regression analysis

The multivariate logistic regression model showed that subjects with hyperuricemia had an OR of 0.75 (95% confidence interval (CI) 0.66-0.84) in association with betel nut chewing (Table 3). Older men and men with diabetes were also less likely to be hyperuricemia. Higher BMI, drinking, hypertension hyperlipidemia, chronic kidney disease and proteinuria were factors associated with hyperuricemia. Chronic kidney disease had the strongest association with hyperuricemia (adjusted OR 3.28, 95% CI 2.94-3.65).

Table 4 depicts the association between betel nut chewing and hyperuricemia by stratified levels of age and BMI, and subjects with and without diabetes and hypertension. The association was significant for subjects of younger age, higher BMI, no diabetes and no hypertension.

Table 4 Odds ratio of hyperuricemia associated with betel nut chewing by age, body mass index, diabetes and hypertension


In this cross-sectional study, we found that hyperuricemia is positively associated with BMI, drinking, hypertension, chronic kidney disease, and proteinuria, but negatively associated with old age (60 y/o), betel nut chewing, and diabetes mellitus.

To the best of our knowledge, this study was the first to investigate the association between betel nut chewing and hyperuricemia. Several mechanisms may provide potential explanations why betel nut chewers have a lower prevalence of hyperuricemia. The most important chemical components of betel nut are alkaloids [20]. Kanbara and Seyama [21] found a lower serum uric acid level with an alkaline diet than with an acidic diet. Uric acid is more actively reabsorbed with acidic urine than with alkaline urine. They also found that alkalization of urine by eating alkaloid food was an effective way to excrete uric acid via the urine [22]. Further research on uric acid excretion for betel nut chewers is warranted.

Our data showed that the relationship between hyperuricemia and diabetes mellitus is consistent with previous studies [2326]. A possible mechanism for this inverse association may be related to the inhibition of uric acid reabsorption in the proximal tubules by high glucose levels [27, 28].

A recent research carried out with 14,362 Taiwanese showed that, for men, values of uric acid decreased as age increased [29]. The finding is consistent with our result. Another longitudinal study for men showed that the incidence of hyperuricemia increased in parallel with the rise in BMI, with a correlation coefficient of 0.282 (p <0.0001) between serum uric acid levels and BMI [30]. The results also support our finding of the positive association between hyperuricemia and BMI.

Our data also showed that drinking alcohol and hypertension were positively associated with hyperuricemia. A recent meta-analysis of 18 published prospective cohort studies with 55,607 subjects showed that hyperuricemia was associated with an increased risk for incidental hypertension (adjusted risk ratio 1.41, 95% CI 1.23-1.58) [31]. The overall risk for incidental hypertension increases by 13% per 1 mg/dl increase in serum uric acid level. Several possible mechanisms for hyperuricemia in the development of hypertension have been proposed. Higher uric acid levels could lead to endothelial cell dysfunction via nitric oxide synthetase [32, 33] and stimulate vascular smooth muscle cell proliferation [34]. Uric acid may directly stimulate the renin-angiotensin system [35, 36] and cause renal afferent arteriolopathy and tubulointerstitial nephritis, leading to higher blood pressure [36]. Renal lesions and hypertension are prevented by lowering uric acid levels with a xanthine oxidase inhibitor or a uricosuric agent and reversed by an angiotensin-converting enzyme inhibitor [37].

Previous studies support our findings in associations between hyperuricemia and mixed hyperlipidemia, chronic kidney disease and proteinuria [3843]. Uric acid can induce pre-glomerular arterial disease, vascular proliferation, renal inflammation, and hypertension via an activation of renin-angiotensin system and cyclooxygenase-2, which in turn aggravates renal disease, endothelial dysfunction, hypertension, and cardiovascular disease [4447].

The stratified analyses shown in Table 4 support our main outcome. Irrespective of the status in overweight, diabetes and age, the odds ratios were still all less than one. In fact, according to Table 3, co-variables with age 60, BMI < 25 or presence of diabetes were already factors for lower hyperuricemia odds, which might thus keep their ORs less than one but fail to sustain statistical significance in the stratified analyses.

There are several limitations to this study. First, this study was a cross-sectional study and causality cannot be concluded. Further prospective cohort studies are necessary. Second, information about exposure to betel nut chewing was from self-reported questionnaires, and obtained from a fixed questionnaire, which included no status of ex-uses of betel nut, alcohol drinking and smoking. Potential misclassification of that exposure is possible without information on ex-uses of these substances. More detailed histories about the amount of betel nut chewed, duration, and previous abstinence are needed. Third, the participants who took the initiative to undergo the health check-up program in this hospital may not have represented the general population; they might have had higher socio-economic status or level of education, and might have been more alert to the status of their own health. These factors may have been sources of selection bias. However, the number of participants was large enough to enable us to examine associations between betel nut chewing and hyperuricemia after multivariate logistic regression modeling with comprehensive adjustments for confounders. The prevalence of betel nut chewing in our study was also consistent with two previous large studies in Taiwan [3, 4].


Hyperuricemia has an inverse association with betel nut chewing, diabetes, and old age, while it has a positive association with obesity, alcohol consumption, hypertension, CKD, and proteinuria.


  1. 1.

    Gupta PC, Warnakulasuriya S: Global epidemiology of areca nut usage. Addict Biol. 2002, 7 (1): 77-83. 10.1080/13556210020091437.

    CAS  PubMed  Google Scholar 

  2. 2.

    Gupta PC, Ray CS: Epidemiology of betel quid usage. Ann Acad Med Singapore. 2004, 33 (4 Suppl): 31-36.

    CAS  PubMed  Google Scholar 

  3. 3.

    Ko YC, Chiang TA, Chang SJ, Hsieh SF: Prevalence of betel quid chewing habit in Taiwan and related sociodemographic factors. J Oral Pathol Med. 1992, 21 (6): 261-264. 10.1111/j.1600-0714.1992.tb01007.x.

    CAS  PubMed  Google Scholar 

  4. 4.

    Wang LY, You SL, Lu SN, Ho HC, Wu MH, Sun CA, Yang HI, Chien-Jen C: Risk of hepatocellular carcinoma and habits of alcohol drinking, betel quid chewing and cigarette smoking: a cohort of 2416 HBsAg-seropositive and 9421 HBsAg-seronegative male residents in Taiwan. Cancer Causes Control. 2003, 14 (3): 241-250. 10.1023/A:1023636619477.

    PubMed  Google Scholar 

  5. 5.

    Yen AMF, Chiu YH, Chen LS, Wu HM, Huang CC, Boucher BJ, Chen THH: A population-based study of the association between betel-quid chewing and the metabolic syndrome in men. Am J Clin Nutr. 2006, 83: 1153-1160.

    CAS  PubMed  Google Scholar 

  6. 6.

    Lin WY, Chiu TY, Lee LT, Lin CC, Huang CY, Huang KC: Betel nut chewing is associated with increased risk of cardiovascular disease and all-cause mortality in Taiwanese men. Am J Clin Nutr. 2008, 87 (5): 1204-1211.

    CAS  PubMed  Google Scholar 

  7. 7.

    Yen AMF, Chen LS, Chiu YH, Boucher BJ, Chen TH: A prospective community-population-registry based cohort study of the association between betel-quid chewing and cardiovascular disease in men in Taiwan (KCIS no. 19). Am J Clin Nutr. 2008, 87 (1): 70-78.

    CAS  PubMed  Google Scholar 

  8. 8.

    Heck JE, Marcotte EL, Argos M, Parvez F, Ahmed A, et al: Betel quid chewing in rural Bangladesh: prevalence, predictors and relationship to blood pressure. Int J Epidemiol. 2012, 41: 462-471. 10.1093/ije/dyr191.

    PubMed  Google Scholar 

  9. 9.

    Hsu YH, Liu WH, Chen W, Kuo YC, Hsiao CY, Hung PH, Jong IC, Chiang PC, Hsu CC: Association of betel nut chewing with chronic kidney disease: a retrospective 7-year study in Taiwan. Nephrology (Carlton). 2011, 16 (8): 751-757. 10.1111/j.1440-1797.2011.01489.x.

    CAS  Google Scholar 

  10. 10.

    Liu WH, Hsu CC, Hsu YH: Chewing areca nut as an independent risk factor for proteinuria in middle-aged men. Gaoxiong Yi Xue Ke Xue Za Zhi. 2013, 29 (4): 214-220.

    PubMed  Google Scholar 

  11. 11.

    Choi HK, Ford ES: Prevalence of the metabolic syndrome in individual with hyperuricemia. Am J Med. 2007, 120 (5): 442-447. 10.1016/j.amjmed.2006.06.040.

    PubMed  Google Scholar 

  12. 12.

    Verdecchia P, Schillaci G, Reboldi G, Santeusanio F, Porcellati C, Brunetti P: Relation between serum uric acid and risk of cardiovascular disease in essential hypertension. The PIUMA study. Hypertension. 2000, 36 (6): 1072-1078. 10.1161/01.HYP.36.6.1072.

    CAS  PubMed  Google Scholar 

  13. 13.

    Perlstein TS, Gumieniak O, Williams GH, Sparrow D, Vokonas PS, Gaziano M, Weiss ST, Litonjua AA: Uric acid and the development of hypertension: the normative aging study. Hypertension. 2006, 48 (6): 1031-1036. 10.1161/01.HYP.0000248752.08807.4c.

    CAS  PubMed  Google Scholar 

  14. 14.

    Chang HY, Tung CW, Lee PH, Lei CC, Hsu YC, Chang HH, Yang HF, Lu LC, Jong MC, Chen CY, et al: Hyperuricemia as an independent risk factor of chronic kidney disease in middle-aged and elderly population. Am J Med Sci. 2010, 339 (6): 509-515.

    PubMed  Google Scholar 

  15. 15.

    National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002, 39 (2 Suppl 1): S1-S266.

    Google Scholar 

  16. 16.

    Zhu Y, Pandya BJ, Choi HK: Prevalence of gout and hyperuricemia in the US general population: the national health and nutrition examination survey 2007–2008. Arthritis Rheum. 2011, 63 (10): 3136-3141. 10.1002/art.30520.

    PubMed  Google Scholar 

  17. 17.

    Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, et al: The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003, 289 (19): 2560-2572. 10.1001/jama.289.19.2560.

    CAS  PubMed  Google Scholar 

  18. 18.

    The International Expert Committee: International expert committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care. 2009, 32 (7): 1327-1334.

    PubMed Central  Google Scholar 

  19. 19.

    National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): Third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation. 2002, 106 (25): 3121-3143.

    Google Scholar 

  20. 20.

    Lord GA, Lim CK, Warnakulasuriya S, Peters TJ: Chemical and analytical aspects of areca nut. Addict Biol. 2002, 7 (1): 99-102. 10.1080/13556210120091455.

    CAS  PubMed  Google Scholar 

  21. 21.

    Kanbara A, Seyama I: Effect of urine pH on uric acid excretion by manipulating food materials. Nucleosides Nucleotides Nucleic Acids. 2011, 30 (12): 1066-1071. 10.1080/15257770.2011.596498.

    CAS  PubMed  Google Scholar 

  22. 22.

    Kanbara A, Hakoda M, Seyama I: Urine alkalization facilitates uric acid excretion. Nutr J. 2010, 9: 45-10.1186/1475-2891-9-45.

    PubMed  PubMed Central  Google Scholar 

  23. 23.

    Yuan HJ, Yang XG, Shi XY, Tian R, Zhao ZG: Association of serum uric acid with different levels of glucose and related factors. Chin Med J. 2011, 124 (10): 1443-1448.

    CAS  PubMed  Google Scholar 

  24. 24.

    Bandaru P, Shankar A: Association between serum uric acid levels and diabetes mellitus. Int J Endocrinol. 2011, 2011: 604715-

    PubMed  PubMed Central  Google Scholar 

  25. 25.

    Oda E, Kawai R, Sukumaran V, Watanabe K: Uric acid is positively associated with metabolic syndrome but negatively associated with diabetes in Japanese men. Intern Med. 2009, 48 (20): 1785-1791. 10.2169/internalmedicine.48.2426.

    PubMed  Google Scholar 

  26. 26.

    Nan H, Dong Y, Gao W, Tuomilehto J, Qiao Q: Diabetes associated with a low serum uric acid level in a general Chinese population. Diabetes Res Clin Pract. 2007, 76 (1): 68-74. 10.1016/j.diabres.2006.07.022.

    CAS  PubMed  Google Scholar 

  27. 27.

    Tuomilehto J, Zimmet P, Wolf E, Taylor R, Ram P, King H: Plasma uric acid level and its association with diabetes mellitus and some biologic parameters in a biracial population of Fiji. Am J Epidemiol. 1988, 127 (2): 321-336.

    CAS  PubMed  Google Scholar 

  28. 28.

    Herman JB, Medalie JH, Goldbourt U: Diabetes, prediabetes and uricaemia. Diabetologia. 1976, 12 (1): 47-52. 10.1007/BF01221964.

    CAS  PubMed  Google Scholar 

  29. 29.

    Tu YK, Chien KL, Burley V, Gilthorpe MS: Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression. BMC Med Res Methodol. 2011, 11: 82-10.1186/1471-2288-11-82.

    PubMed  PubMed Central  Google Scholar 

  30. 30.

    Ogura T, Matssra K, Matsumoto Y, Mimura Y, Kishida M, Otsuka F, Tobe K: Recent trends of hyperuricemia and obesity in Japanese male adolesents, 1991 through 2002. Metab Clin Exp. 2004, 53 (4): 448-453. 10.1016/j.metabol.2003.11.017.

    CAS  PubMed  Google Scholar 

  31. 31.

    Grayson PC, Kim SY, LaValley M, Choi HK: Hyperuricemia and incident hypertension: a systematic review and meta-analysis. Arthritis Care Res (Hoboken). 2011, 63 (1): 102-110. 10.1002/acr.20344.

    CAS  Google Scholar 

  32. 32.

    Khosla UM, Zharikov S, Finch JL, Nakagawa T, Roncal C, Mu W, Krotova K, Block ER, Prabhakar S, Johnson RJ: Hyperuricemia induces endothelial dysfunction. Kidney Int. 2005, 67 (5): 1739-1742. 10.1111/j.1523-1755.2005.00273.x.

    PubMed  Google Scholar 

  33. 33.

    Farquharson CA, Butler R, Hill A, Belch JJ, Struthers AD: Allopurinol improves endothelial dysfunction in chronic heart failure. Circulation. 2002, 106 (2): 221-226. 10.1161/01.CIR.0000022140.61460.1D.

    CAS  PubMed  Google Scholar 

  34. 34.

    Rao GN, Corson MA, Berk BC: Uric acid stimulates vascular smooth muscle cell proliferation by increasing platelet-derived growth factor A-chain expression. J Biol Chem. 1991, 266 (13): 8604-8608.

    CAS  PubMed  Google Scholar 

  35. 35.

    Perlstein TS, Gumieniak O, Hopkins PN, Murphey LJ, Brown NJ, Williams GH, Hollenberg NK, Fisher ND: Uric acid and the state of the intrarenal renin-angiotensin system in humans. Kidney Int. 2004, 66 (4): 1465-1470. 10.1111/j.1523-1755.2004.00909.x.

    CAS  PubMed  Google Scholar 

  36. 36.

    Vargas SL, Toma I, Kang JJ, Meer EJ, Peti-Peterdi J: Activation of the succinate receptor GPR91 in macula densa cells causes renin release. J Am Soc Nephrol. 2009, 20 (5): 1002-1011. 10.1681/ASN.2008070740.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Mazzali M, Hughes J, Kim YG, Jefferson JA, Kang DH, Gordon KL, Lan HY, Kivlighn S, Johnson RJ: Elevated uric acid increases blood pressure in the rat by a novel crystal-independent mechanism. Hypertension. 2001, 38 (5): 1101-1106. 10.1161/hy1101.092839.

    CAS  PubMed  Google Scholar 

  38. 38.

    Collantes Estevez E, Pineda Priego M, Anon Barbudo J, Sanchez Guijo P: Hyperuricemia-hyperlipemia association in the absence of obesity and alcohol abuse. Clin Rheumatol. 1990, 9 (1): 28-31. 10.1007/BF02030237.

    CAS  PubMed  Google Scholar 

  39. 39.

    Collantes Estevez E, Tinahones Madueno FJ, Gonzalez Ruiz A, Anon Barbudo J, Pineda Priego M, Sanchez Guijo P: Renal excretion of urate by hyperuricaemic-hyperlipidemic patients. Clin Rheumatol. 1992, 11 (4): 498-501. 10.1007/BF02283105.

    CAS  PubMed  Google Scholar 

  40. 40.

    Nakagawa T, Mazzali M, Kang DH, Kanellis J, Watanabe S, Sanchez-Lozada LG, Rodriguez-Iturbe B, Herrera-Acosta J, Johnson RJ: Hyperuricemia causes glomerular hypertrophy in the rat. Am J Nephrol. 2003, 23 (1): 2-7. 10.1159/000066303.

    PubMed  Google Scholar 

  41. 41.

    Chonchol M, Shlipak MG, Katz R, Sarnak MJ, Newman AB, Siscovick DS, Kestenbaum B, Carney JK, Fried LF: Relationship of uric acid with progression of kidney disease. Am J Kidney Dis. 2007, 50 (2): 239-247. 10.1053/j.ajkd.2007.05.013.

    CAS  PubMed  Google Scholar 

  42. 42.

    Cain L, Shankar A, Ducatman AM, Steenland K: The relationship between serum uric acid and chronic kidney disease among Appalachian adults. Nephrol Dial Transplant. 2010, 25 (11): 3593-3599. 10.1093/ndt/gfq262.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Tseng CH: Correlation of uric acid and urinary albumin excretion rate in patients with type 2 diabetes mellitus in Taiwan. Kidney Int. 2005, 68 (2): 796-801. 10.1111/j.1523-1755.2005.00459.x.

    CAS  PubMed  Google Scholar 

  44. 44.

    Mazzali M, Kanellis J, Han L, Feng L, Xia YY, Chen Q, Kang DH, Gordon KL, Watanabe S, Nakagawa T, et al: Hyperuricemia induces a primary renal arteriolopathy in rats by a blood pressure-independent mechanism. Am J Physiol Renal Physiol. 2002, 282 (6): F991-F997.

    CAS  PubMed  Google Scholar 

  45. 45.

    Kang DH, Nakagawa T, Feng L, Watanabe S, Han L, Mazzali M, Truong L, Harris R, Johnson RJ: A role for uric acid in the progression of renal disease. Clin J Am Soc Nephrol. 2002, 13 (12): 2888-2897. 10.1097/01.ASN.0000034910.58454.FD.

    CAS  Google Scholar 

  46. 46.

    Kanellis J, Watanabe S, Li JH, Kang DH, Li P, Nakagawa T, Wamsley A, Sheikh-Hamad D, Lan HY, Feng L, et al: Uric acid stimulates monocyte chemoattractant protein-1 production in vascular smooth muscle cells via mitogen-activated protein kinase and cyclooxygenase-2. Hypertension. 2003, 41 (6): 1287-1293. 10.1161/01.HYP.0000072820.07472.3B.

    CAS  PubMed  Google Scholar 

  47. 47.

    Kang DH, Nakagawa T: Uric acid and chronic renal disease: possible implication of hyperuricemia on progression of renal disease. Semin Nephrol. 2005, 25 (1): 43-49. 10.1016/j.semnephrol.2004.10.001.

    CAS  PubMed  Google Scholar 

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This study was supported partly by the Taiwan Department of Health Clinical Trial and Research Center for Excellence (Grant Numbers DOH101-TD-B-111-004 and DOH101-TD-C111-005). We thank Professor Fung-Chang Sung for his assistance in this study.

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Correspondence to Yueh-Han Hsu.

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The authors declare that they have no competing interests.

Authors’ contributions

TST and YHH designed the study and drafted the manuscript. CCH guided the statistical works and revised the manuscripts. HCP contributed to the interpretation of data and providing comments on the draft. WHL provided administrative support and participated in the study design. All authors read and approved the final manuscript.

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Tai, TS., Hsu, CC., Pai, HC. et al. The association between hyperuricemia and betel nut chewing in Taiwanese men: a cross-sectional study. BMC Public Health 13, 1136 (2013).

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  • Betel nut
  • Chronic kidney disease
  • Comorbidity
  • Hyperuricemia
  • Logistic regression analysis