Email updates

Keep up to date with the latest news and content from BMC Public Health and BioMed Central.

Open Access Research article

Association between serum uric acid levels and cardiovascular risk among university workers from the State of Mexico: a nested case–control study

Patricia Cerecero1*, Bernardo Hernández-Prado23, Edgar Denova1, Roxana Valdés4, Gilberto Vázquez1, Eneida Camarillo1 and Gerardo Huitrón1

Author Affiliations

1 Centro de Investigación en Ciencias Médicas, Universidad Autónoma del Estado de México, Toluca, México

2 Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA

3 Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México

4 Centro de Investigación y Estudios de Posgrado en Ciencias de la Salud Universidad Autónoma del Estado de México, Toluca, México

For all author emails, please log on.

BMC Public Health 2013, 13:415  doi:10.1186/1471-2458-13-415

The electronic version of this article is the complete one and can be found online at:

Received:17 June 2012
Accepted:9 April 2013
Published:1 May 2013

© 2013 Cerecero et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.



Recent evidence suggests that serum uric acid (SUA) can be an inexpensive and easy-to-obtain indicator of cardiovascular risk (CR). This is especially important in developing countries with high prevalence of cardiovascular disease. We examined the association between SUA levels and 10-year global CR among university workers from the State of Mexico, Mexico.


A case–control study nested within a cohort was conducted between 2004 and 2006. Anthropometric measures, lifestyle variables, family background and CR factors were assessed. The analysis estimated odds ratios using conditional logistic regression.


The study included 319 cases with CR and 638 controls. Subjects in the upper tertile of SUA had 48.0% higher odds of having an elevated CR than those in the lower tertile (OR = 1.48, 95% CI: 1.04 - 2.10) in the crude analysis, but the association was non-significant when adjusting for other covariates. Among physically inactive individuals, being in the third tertile of SUA doubled the odds of high CR, compared with those who perform physical activity three or more hours per week being in the first tertile of SUA (OR = 2.35, 95% CI: 1.24 - 4.45).


Serum concentration of uric acid is associated with 10-year global CR among individuals with high levels of physical inactivity.

Uric acid; Cardiovascular diseases; Risk factors; Mexico


Recent studies show that concentrations of serum uric acid (SUA) can be an inexpensive and easy-to-obtain indicator of cardiovascular risk (CR) [1,2]. This is especially relevant in Mexico, where the prevalence of cardiovascular disease has increased alarmingly during the past two decades [3]. The epidemiological and nutritional transition the country is undergoing has resulted in a high prevalence of CR factors in the adult population (e.g. prevalence of 70% for overweight and obesity, 26.5% for hypertension or hypercholesterolemia, and 13.5% for diabetes mellitus [4].

The global CR is determined based on the degree of exposure to a set of risk factors for cardiovascular disease. It expresses the probability of an individual to develop an adverse cardiovascular event during a specific period of time in comparison with a same-aged and same-gender individual without risk factors [5].

Uric acid is the end-product of purine metabolism. It comes from the conversion of hypoxanthine into xanthine and from xanthine into uric acid; both reactions are catalyzed by the enzyme xanthine oxidoreductase [6]. SUA levels over 7 mg/dL in men and over 6 mg/dL in women are considered high, although the parameter can vary considerably according to the geographical area and the ethnic group [7]. It has been shown elevated uric acid has a harmful effect on platelets and on endothelial function [8]. It has also been demonstrated that reducing its concentration through the use of drugs such as atorvastatin [9] or allopurinol [10] is associated with a reduced prevalence of cardiovascular disease. A growing body of evidence has demonstrated that elevated SUA levels are associated with many of the risk factors for cardiovascular diseases (such as hypertension [11], obesity and hypertriglyceridemia [12]); with some of the factors that characterize atherosclerosis (such as inflammation, oxidative stress and endothelial dysfunction [8,10]); and with lifestyle factors (i.e., physical inactivity, inadequate dietary habits and elevated alcohol intake [13,14]). In Mexico, there is no evidence of the precise role that uric acid plays in the risk of developing a cardiovascular disease. Hence, the main purpose of our study was to determine whether high levels of uric acid are a marker associated with 10-year CR in university workers from the State of Mexico.


Population and sample

Data for this analysis come from a cohort study with workers of the Authonomous University of the State of Mexico (UAEMex, for its name in Spanish), named the “Cohort of UAEMex Workers”. This study has been conducted since 2004 jointly by the Mexican Institute of Social Security and the National Institute of Public Health of Mexico. The detailed description of the methodology has been published elsewhere [15,16].

The baseline measurement of the cohort study included 2,555 university workers. In the present analysis we included the data of 2,065 participants over 30 years old who provided complete information and were free of diagnosed cardiovascular disease. The data of 45 participants with gout diagnosis, diuretic treatment or kidney failure (serum creatinine ≥1.5 mg/dL) were excluded. We also excluded the data of 317 subjects who reported implausible total energy intake (<500 or >7000 kcal/day).

Study design

We conducted a case–control study nested in the cohort mentioned above. To define the cases, the 10-year CR for each participant was calculated through the method proposed by Wilson et al.[5]. It proposes a risk scoring method considering the degree of exposure to the following variables: age, total cholesterol, high-density lipoproteins cholesterol (HDL-chol), blood pressure, diabetes mellitus and smoking status. In accordance with the ILIB-Latin America [17] consensus, the CR is classified as latent (< 10.0%), intermediate (≥ 10.0% and < 20%) or high (≥ 20.0%). Therefore, a case was defined as any participant from the cohort with intermediate or high CR. Controls were defined as subjects with latent CR, and were matched with case subjects by gender, selecting randomly two controls per case. In total 319 cases were classified (Figure  1).

thumbnailFigure 1. Flow diagram of eligibility and allocation of participants in “Cohort of UAEMex Workers”.

Data collection

We visited all schools that are part of the UAEMex to invite workers to participate in the study. The survey, applied between 2004 and 2006, included a questionnaire, a physical examination and analyses of blood samples. After written informed consent was obtained, participants were given an auto-administered questionnaire to be filled at home. The questionnaire collected data on gender, lifestyle (diet, tobacco and alcohol consumption, and physical activity,) as well as family history of cardiovascular disease. It was to be delivered within eight days.

The data on diet and alcohol consumption were obtained using a semi-quantitative food frequency questionnaire validated for the Mexican population [18]. Questions were asked on the frequency of consumption of a standard portion of 116 types of foods with ten possible answers (ranged from “never” to “six or more a day”) and eight different types of beverages with eleven possible answers (ranged from “zero” to “more than 15 glasses”), during the past year. The diet components analyzed included: the daily intake of total energy, fructose, lipids and proteins.

The level of leisure-time physical activity was assessed through a questionnaire designed to estimate the intensity and duration of different types of activities in a typical week during the past year, taking into account only those that generate an energetic expenditure ≥ 3 metabolic equivalents (MET) (walking, running, bicycling, playing soccer, etc.) [19], with seven possible answers (ranged from “5 minutes” to “more than 6 hours a week”). Workers were classified according to the time they spend in physical activity following the Pan American Health Organization recommendations [20]: recommended activity (≥ 3 hours/week), insufficient activity (< 3 hours/week) and inactivity (0 hours/week).

Once the subjects handed in the answered questionnaire, they had an appointment at a laboratory in the Medical Sciences Research Center (Centro de Investigación en Ciencias Médicas – CICMED-UAEMex) to conduct blood sampling, height, weight and blood pressure measurements. All measurement procedures were performed by nurses trained to use standardized procedures [21]. Weight and height were measured after overnight fasting using an electronic scale (Tanita model BC-533; Tokyo, Japan) and a conventional stadiometer with participants wearing minimal clothing and no shoes. Blood pressure was measured with an automatic digital monitor (model CH 656C). Three assessments were carried out at two-minute intervals and the average was registered.

Blood samples were collected after an overnight fasting of at least 12 hours, without having performed intense physical activity or having ingested alcohol, following standarized procedures; the samples were immediately centrifuged and processed with an automatic device. Serum levels of total cholesterol, high density lipoproteins cholesterol (HDL-chol), glucose, and uric acid were determined enzymatically on a standard autoanalizer (Selectra XL, Randox). The Research Ethics Committee at CICMED-UAEMex approved the procedures used and all subjects signed an informed consent letter before data collection.


For the analysis, body mass index (BMI) was calculated by dividing the body weight (in kilograms) by the square height (in meters). With this index, workers were grouped into normal weight (BMI ≤ 24.9) and overweight-obesity (BMI ≥ 25) [22]. SUA values were classified according to their distribution in tertiles. The CR factors were defined as follows [5]: age, men ≥ 40 years, women ≥ 45 years; high cholesterol, ≥ 200 mg/dl; low HDL-chol, men ≤ 45 mg/dl, women ≤ 50 mg/dl; diabetes, fasting serum glucose ≥ 110 mg/dl and/or treatment for diabetes; systolic/diastolic hypertension, men ≥ 140/90 mmHg, women ≥ 130/85 mmHg; and smoking status, yes or no.

We performed a descriptive analysis of workers characteristics. Means and standard deviations (SD) for continuous variables and proportions for categorical variables for the cases and controls were compared by linear regression adjusted for matching and the clustering of observations at school level and chi-square test. We computed the prevalence for lifestyle variables, family history of cardiovascular disease and factors that constitute the CR (age, hypertension, elevated cholesterol, low HDL-chol, diabetes, and smoking) by tertiles of SUA.

To estimate the magnitude of the association between categories of SUA and high CR (10-year risk more than 10 percent), as well as between SUA and each of CR factors, we computed crude and adjusted OR and 95% confidence intervals (95% CI) using conditional logistic regression. Furthermore, we evaluated the interaction of physical activity level and uric acid concentrations on CR by introducing an interaction term in the logistic regression models.

The Mantel–Haenszel extension test was used to assess linear trend of the OR for high CR, each of the CR factors, and BMI >25 kg/m2 across increasing tertiles of uric acid. The nutrient intake was adjusted for total energy intake using the residual method [23].The differences with a ρ-value <0.05 were considered significant. All analyses were performed using STATA statistical software, version 7 [24].


The study sample was constituted by 957 university workers, 319 of which were CR cases (244 in intermediate CR, 75 in high CR) and 638 controls; 31.4% were female and 68.6% male. The mean age was 45.3 years (SD = 8.4). Mean SUA concentration was 4.8 mg/dL (SD = 1.3 mg/dl) and mean probability of having a cardiovascular adverse event in the next ten years was 8.3%. Most workers were overweight or obese (72.0%) and declared consuming at least one alcoholic beverage a day (84.2); 36.0% reported being physically inactive. Out of the factors that constitute global CR, 75.6% of the sample displayed low HDL-chol values and nearly half displayed high cholesterol or hypertension (Table  1).

Table 1. Clinical and anthropometric characteristics and lifestyle conditions of university workers in the State of Mexico, Mexico, 2004

The proportion of overweight workers among the cases surpassed that of the controls (ρ < 0.001). Likewise, fructose intake was higher among the cases with respect to the controls (ρ = 0.028) (Table  2).

Table 2. Comparison of clinical and anthropometric characteristics and lifestyle conditions among university workers with and without cardiovascular risk, 2004

Table  3 shows that subjects in highest tertile of SUA distribution tended to be more physically active, consume more alcoholic beverages per day, have hypertension, have high total cholesterol, have low HDL-chol, being overweight or obese, and have more than three cardiovascular risk factors compared with subjects in the lowest tertile of SUA. In addition, subjects with higher uric acid levels were older than those with lower levels.

Table 3. Lifestyle conditions and cardiovascular risk factors according to tertiles of serum uric acid in university workers of State of Mexico, 2004

The odds of presenting high 10-year CR estimated as well as of presenting each of its components (age, hypertension, elevated cholesterol, low HDL-chol, diabetes, and smoking), and overweight-obesity (BMI ≥25 kg/m2) according to SUA levels are show in Table  4. The crude analysis showed that subjects in higher tertile of SUA have 40.0% greater odds of presenting high 10-year CR, compared to those in lower tertile (OR = 1.41, 95% CI: 1.01-1.98). This association remained with little change after controlling for the effect of physical activity, alcoholic beverages consumption, and family history of myocardial infarction (OR = 1.48, 95% CI: 1.04-2.10). However, after adjusting for BMI in addition to the above mentioned variables, the magnitude of the relationship between SUA levels and high cardiovascular risk decreased and lost statistical significance (OR = 1.28, 95% CI: 0.89-1.83).

Table 4. Odds ratio of cardiovascular risk or its components according to tertiles of uric acid in university workers of State of Mexico, 2004

Regarding each of the factors which constitute the CR, in a multivariate model adjusted by physical activity, alcoholic beverages consumption, and family history of myocardial infarction we observed subjects in higher tertile of SUA had higher odds of suffering hypertension (OR = 1.86, 95% CI: 1.26-2.74), having high total cholesterol (OR = 1.83, 95% CI: 1.24-2.71) or low HDL-chol (OR = 1.67, 95% CI: 1.04-2.69), and higher odds of having three or more risk factors (OR = 1.88, 95% CI: 1.29-2.74) than those in lower tertile. Likewise, medium and high SUA levels were associated with higher odds of having overweight by 68.0% and by more than 100%, respectively (OR = 1.68, 95% CI: 1.08-2.60; OR = 2.86, 95% CI: 1.82-4.50). There was a linear trend of the OR for high CR, hypertension, high total cholesterol, low HDL-chol, and having three or more risk factors across increasing tertiles of uric acid (ρ < 0.05). We also observed that subjects located in the second tertile of SUA were more likely to belong to the age group of cardiovascular risk than those located in the first tertile (OR = 1.53, 95% CI: 1.04-2.24). After adjusting by BMI in addition to the above mentioned variables, our estimates of the association between high SUA levels and hypertension and between high SUA levels and the presence of three or more risk factors decreased, nonetheless, they kept their statistical significance (Table  4).

Further analysis of the interaction between physical activity and uric acid concentrations on CR revealed that the physically inactive individuals and with high levels of uric acid, had two-fold higher odds of presenting high 10-year CR in comparison to those physically active with low SUA levels (OR = 2.35, 95% CI:1.24 - 4.45) (Figure  2). An additional file shows the data from which was done the Figure  2 (see Additional file 1).

thumbnailFigure 2. Odds ratios of cardiovascular risk by serum uric acid concentrations and physical activity levels in university workers of State of Mexico, 2004.

Additional file 1. Odds ratios of cardiovascular risk by serum uric acid concentrations and physical activity levels in university workers of State of Mexico, 2004.

Format: DOCX Size: 15KB Download fileOpen Data


This study compared SUA levels among workers with and without 10-year CR at a public university in Mexico. Results show a positive association between SUA and CR in the crude analysis, but no association was found when the analysis was adjusted by physical activity, alcoholic beverages consumption, family history of myocardial infarction and body mass index. Among physically inactive individuals, SUA concentrations were positively associated with high CR.

Average concentration of uric acid among university workers (4.8 mg/dL) was found to be within the normal range, in accordance with information on other groups of asymptomatic middle-aged adults [25,26]. Moreover, consistent with previous studies, association between SUA and CR was obtained with uric acid levels considered to be normal to high range (5.3 mg/dL) [27,28]. In this respect, Hayden and Tyagi [8] point out that SUA values from the upper third of the physiologically normal range (> 4.0 mg/dL) have a harmful impact on the vascular endothelium leading to endothelial dysfunction through processes of oxidative stress.

The CR to ten years estimate was associated to higher SUA values, which suggests a close relationship between SUA and CR. In accordance with this result, recent studies describe an association between SUA and increased cardiovascular disease risk [29,30] as well as a higher prevalence of metabolic syndrome or its components [31,32]. Likewise, they point to the fact that in the population with a relatively low CR, uric acid is a weak predictor of cardiovascular morbidity and on the contrary, it could constitute a significant independent predictor of cardiovascular disease among individuals with high or very high CR [6].

Elevated SUA levels are commonly associated with CR factors such as hypertension [33], diabetes mellitus [34], hyperlipidemia and obesity [35]. In this study, exposure to high SUA levels was associated with a higher risk of displaying abnormal figures of blood pressure, HDL-chol, and total cholesterol with respect to non-exposure. Dawson and Walters [36] have proposed that the physiopathological mechanism through which it is possible to link uric acid with hyperlipidemia and atherosclerotic cardiovascular disease is the heightened activity of the enzyme xanthine oxidase. The superoxide anions generated by xanthine oxidase during the metabolism of purines can inactivate nitric oxide and thus lead to the formation of other oxidants, which under the effect of DNA and lipid oxidation contribute to the development of atherosclerosis.

In this study, excess weight was closely associated with both CR and SUA levels and constituted an important confounder of the relationship between these variables. High SUA levels were significantly associated with global CR in the crude analysis, and this association persisted after controlling for potential confounders; nevertheless, further adjustment for BMI caused a decrease in the strength of the association and loss of statistical significance. Recent studies show a positive association between obesity and uric acid [32,35], and some of them even posit that obesity is the main determinant of high SUA values in the general population [30]. It has also been observed that hyperuricemia precedes the development of obesity [35]. According to Sautin et al.[37], uric acid contributes to the development of obesity by giving rise to inflammatory and oxidative changes in adipocytes. Likewise, the relationship between SUA and hypertension was attenuated among individuals whose body weight was above normal, without losing statistical significance. Contrary to this result, in the study by Mellen et al.[11] the relationship between SUA and hypertension lost statistical significance among individuals with obesity, probably due to their higher average age (53.3 years) than individuals in this study (45.3 years), since recent scientific evidence sustains that the relationship between SUA and hypertension is attenuated with age [28].

On the other hand, our results suggest an interaction between uric acid levels and physical inactivity on the likelihood of developing cardiovascular disease in the next ten years. Physically inactive workers with high SUA levels were two fold more likely to have high CR in comparison with those physically active with low SUA levels. Concerning these relationships, previous studies reveal that physical activity is inversely related to both the cardiovascular morbidity [38] as the uric acid levels [39-41], and show there is a remarkable similarity between the features associated with elevated levels of uric acid and those associated with physical inactivity, such as endothelial dysfunction [8,42], inflammation [43], oxidative stress and insulin resistance. It has been proposed that the relationship between SUA and physical activity is mediated by the latter’s effect on insulin sensitivity [39,44], although it has also been posited that elevated uric acid levels may have a causal role in the pathogenesis of insulin resistance [45], since elevated levels of uric acid decrease the bioavailability of nitric oxide, and insulin requires endothelial nitric oxide to stimulate glucose uptake in skeletal muscle [46].

One of the limitations of this study is that the cohort from which participants were drawn included only university workers, so the results are not strictly applicable to the general population. Nevertheless, the study population represents a group with very diverse characteristics shared by the general population, such as the high prevalence of overweight-obesity (72.0%) and high physical inactivity (36.0%), which are similar to those reported by the National Survey of Health and Nutrition of Mexico 2006 [4]; hence, the results are potentially generalizable to the working population of urban areas in Mexico. Moreover, since we are dealing with a cross-sectional study, causality cannot be inferred between high SUA levels and CR. However, it is possible to infer that SUA is a good indicator of CR, especially among sedentary individuals.


The results from this study in a middle-aged adult population in Mexico show that SUA levels are positively associated to high 10-year global CR among people with a sedentary lifestyle.

Even though the association between uric acid and risk of developing a cardiovascular disease has been observed among other ethnic groups, from results of this study it follows that in Mexico uric acid can be considered as an early marker of the risk of developing a cardiovascular event in the next ten years. This will prove very useful in terms of prevention strategies targeting these ailments.

Competing interests

Authors had no commercial or other associations that might pose a conflict of interest in connection with the submitted article.

Authors’ contributions

PC and BHP carried out the conception and design of the study, the analysis and the interpretation of the data and drafted the discussion. PC, ED, RV, GV and EC drafted the article, and GH approved the final version to be published. All authors reviewed and approved the final version of the manuscript.


This study was funded by the Universidad Autónoma del Estado de México (Register no.1860/2004) and Consejo Nacional de Ciencia y Tecnología (CONACyT). The authors thank all those who made possible the realization of this study.


  1. Gagliardi A, Miname M, Santos R: Uric acid: A marker of increased cardiovascular risk.

    Atherosclerosis 2009, 202:11-17. PubMed Abstract | Publisher Full Text OpenURL

  2. Meisinger C, Koenig W, Baumert J, Döring A: Uric acid levels are associated with all-cause and cardiovascular disease mortality independent of systemic inflammation in men from the general population: The MONICA/KORA Cohort Study.

    Arterioscler Thromb Vasc Biol 2008, 28:1186-1192. PubMed Abstract | Publisher Full Text OpenURL

  3. Rosas M, Lara A, Pastelín G, Velázquez O, Martínez J, Méndez A, Lorenzo JA, Lomelí C, González A, Herrera J, Tapia R, Attie F: National Re-survey of arterial hypertension (RENAHTA): Mexican consolidation of the cardiovascular risk factors. National follow-up cohort. (Re-encuesta nacional de hipertensión arterial [RENAHTA]: Consolidación Mexicana de los factores de riesgo cardiovascular. Cohorte nacional de seguimiento.

    Arch Cardiol Mex 2005, 75(1):96-111. PubMed Abstract OpenURL

  4. Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J: Salud. In Mexican National Health and Nutrition Survey 2006 (Encuesta Nacional de Salud y Nutrición-ENSA 2006). Cuernavaca, México: Instituto Nacional de Salud Pública; 2006:75-82. OpenURL

  5. Wilson P, D’Agostino R, Levy D, Belanger A, Silbershatz H, Kannel W: Prediction of coronary heart disease using risk factor categories.

    Circulation 1998, 97:1837-1847. PubMed Abstract | Publisher Full Text OpenURL

  6. Strazzullo P, Puig JG: Uric acid and oxidative stress: Relative impact on cardiovascular risk.

    Nutr Metab Cardiovasc Dis 2007, 17:409-414. PubMed Abstract | Publisher Full Text OpenURL

  7. Alderman M: Uric acid and cardiovascular risk.

    Curr Opin Pharmacol 2002, 2:126-130. PubMed Abstract | Publisher Full Text OpenURL

  8. Hayden MR, Tyagi SC: Uric acid: A new look at an old risk marker for cardiovascular disease, metabolic syndrome, and type 2 diabetes mellitus: The urate redox shuttle.

    Nutr Metab 2004, 1:1-10. BioMed Central Full Text OpenURL

  9. Athyros V, Mikhailidis D, Liberopoulos E, Kakafika A, Karagiannis A, Papageorgiou A, Tziomalos K, Ganotakis E, Elisaf F: Effect of statin treatment on renal function and serum uric acid levels and their relation to vascular events in patients with coronary heart disease and metabolic syndrome.

    Nephrol Dial Transplant 2007, 22:118-127. PubMed Abstract | Publisher Full Text OpenURL

  10. Farquharson C, Butler R, Hill A, Belch J, Struthers A: Allopurinol improves endothelial dysfunction in chronic heart failure.

    Circulation 2002, 106:221-226. PubMed Abstract | Publisher Full Text OpenURL

  11. Mellen P, Bleyer A, Erlinger T, Evans G, Nieto F, Wagenknecht L, Wofford M, Herrington D: Serum uric acid predicts incident hypertension in a biethnic cohort: The atherosclerosis risk in communities study.

    Hypertension 2006, 48:1037-1042. PubMed Abstract | Publisher Full Text OpenURL

  12. Nakagawa T, Kang DH, Feig D, Sanchez-Lozada LG, Srinivas TR, Ejaz AA, Segal M, Johnson RJ: Unearthing uric acid: An ancient factor with recently found significance in renal and cardiovascular disease.

    Kidney Int 2006, 69:1722-1725. PubMed Abstract | Publisher Full Text OpenURL

  13. Williams P: Effects of diet, physical activity and performance, and body weight on incident gout in ostensibly healthy, vigorously active men.

    Am J Clin Nutr 2008, 87:1480-1487. PubMed Abstract | Publisher Full Text OpenURL

  14. Choi HK, Curhan G: Beer, liquor, and wine consumption and serum uric acid level: the third national health and nutrition examination survey.

    Arthritis Rheum 2004, 51(6):1023-1029. PubMed Abstract | Publisher Full Text OpenURL

  15. Salmerón-Castro J, Arillo-Santillán E, Campuzano-Rincón JC, López-Antuñano FI, Lazcano-Ponce EC: Smoking in health professionals of the Mexican Social Security Institute, Morelos (Tabaquismo en profesionales de la salud del Instituto Mexicano del Seguro Social, Morelos).

    Salud Pub Mex 2002, 44(Suppl 1):67-75. OpenURL

  16. Cerecero P, Hernández B, Aguirre D, Valdés R, Huitrón G: Lifestyle conditions related to global cardiovascular risk among university workers in the State of Mexico (Estilos de vida asociados al riesgo cardiovascular global en trabajadores universitarios del Estado de México).

    Salud Publica Mex 2009, 51:465-473. OpenURL

  17. International Lipid Information Bureau (ILIB): ILIB guidelines for diagnosis and treatment of lipid disorders in Latin America. Executive Summary.

    Lipid Digest Latinoam 2002, 8:2-8. OpenURL

  18. Hernández-Avila M, Romieu I, Parra S, Hernández-Avila J, Madrigal H, Willett W: Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico City.

    Salud Publica Mex 1998, 40:133-140. PubMed Abstract | Publisher Full Text OpenURL

  19. Ainsworth B, Haskell W, Whitt M, Irwin M, Swartz A, Strath S, O’Brien W, Bassett D Jr, Schmitz K, Emplaincourt P, Jacobs D Jr, Leon A: Compendium of physical activities: an update of activity codes and MET intensities.

    Med Sci Sports Exerc 2000, 32(suppl 9):S498-S516. PubMed Abstract | Publisher Full Text OpenURL

  20. Pan American Health Organization (PAHO/WHO): Global Strategy on Diet, Physical Activity and Health (DPAS). Implementation plan for Latin America and the Caribbean 2006–2007. Washington, DC: PAHO; 2006. OpenURL

  21. Lohman TG, Roche F, Martorell R: Anthropometric standardization reference manual. Champaign, IL: Human Kinetics, Publishers; 1988. OpenURL

  22. World Health Organization: Physical status: the use and interpretation of anthropometry. Geneva: WHO; 1995. OpenURL

  23. Willett W, Stampfer M: Implications of total energy intake for epidemiologic analyses. In Nutritional epidemiology. Edited by Willett W. New York, NY: Oxford University; 1998:273-301. OpenURL

  24. StataCorp, Stata Statistical Software: Release 7, StataCorp LP. TX, USA: College Station; 2000. OpenURL

  25. Vekic J, Jelic-Ivanovic Z, Spasojevic-Kalimanovska V, Memon L, Zeljkovic A, Bogavac-Stanojevic N, Spasic S: High serum uric acid and low-grade inflammation are associated with smaller LDL and HDL particles [abstract].

    Atherosclerosis 2009, 203:236-242. PubMed Abstract | Publisher Full Text OpenURL

  26. Kocaman S, Sahinarslan A, Cemri M, Timurkaynak T, Boyaci B, Cengel A: Independent relationship of serum uric acid levels with leukocytes and coronary atherosclerotic burden.

    Nutr Metab Cardiovasc Dis 2009, 19:729-735. PubMed Abstract | Publisher Full Text OpenURL

  27. Niskanen L, Laaksonen D, Nyyssönen K, Alfthan G, Lakka H, Lakka T, Salonen J: Uric acid level as a risk factor for cardiovascular and all-cause mortality in middle-age men.

    Arch Intern Med 2004, 164:1546-1551. PubMed Abstract | Publisher Full Text OpenURL

  28. Feig D, Kang D, Johnson R: Uric acid and cardiovascular risk.

    N Engl J Med 2008, 359(17):1811-1821. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  29. Strasak A, Ruttmann E, Brant L, Kelleher C, Klenk J, Concin H, Dlem G, Ulmer H, VHM&PP Study Group: Serum Uric acid and risk of cardiovascular mortality: A prospective long-term Study of 83 683 Austrian men.

    Clin Chem 2008, 54(2):273-284. PubMed Abstract | Publisher Full Text OpenURL

  30. Bos M, Koudstaal P, Hofman A, Witteman J, Breteler M: Uric acid is a risk factor for myocardial infarction and stroke: The Rotterdam Study.

    Stroke 2006, 37:1503-1507. PubMed Abstract | Publisher Full Text OpenURL

  31. Reyes A, Navarro J, Cruz M, Castro L, Landgrave J, Narváez C, Landgrave I, Oregón A, Espinosa F: Metabolic syndrome prevalence related to uric acid levels (Prevalencia del síndrome metabólico en relación con las concentraciones de ácido úrico).

    Med Int Mex 2009, 25(4):278-284. OpenURL

  32. Abdullah A, Hasan H, Raigangar V: Analysis of the relationship of leptin, high-sensitivity C-reactive protein, adiponectin, insulin, and uric acid to metabolic syndrome in lean, overweight, and obese young females.

    Met Syndr Relat Disord 2009, 7:17-22. Publisher Full Text OpenURL

  33. Mankovsky B, Kurashvili R, Sadikot S: Is serum uric acid a risk factor for atherosclerotic cardiovascular disease? A review of the clinical evidence. Part 1.

    Diab Met Syn Res Rev 2010, 4:176-184. OpenURL

  34. Kodama S, Saito K, Yachi Y, Asumi M, Sugawara A, Totsuka K, Saito A, Sone H: Association between serum uric acid and development of type 2 diabetes.

    Diabetes Care 2009, 32(9):1737-1742. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  35. Ishizaka N, Ishizaka Y, Toda A, Tani M, Koike K, Yamakado M, Nagai R: Changes in waist circumference and body mass index in relation to changes in serum uric acid in Japanese individuals.

    J Rhematol 2010, 37(2):410-416. Publisher Full Text OpenURL

  36. Dawson J, Walters M: Uric acid and xanthine oxidase: future therapeutic targets in the prevention of cardiovascular disease?

    Br J Clin Pharmacol 2006, 62(6):633-644. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  37. Sautin Y, Nakagawa T, Zharikov S, Johnson R: Adverse effects of the classic antioxidant uric acid in adipocytes: NADPH oxidase-mediated oxidative/nitrosative stress.

    Am J Physiol Cell Physiol 2007, 293:C584-C596. PubMed Abstract | Publisher Full Text OpenURL

  38. Villegas R, Xiang Y, Cai Q, Fazio S, Linton M, Li H, Elasy T, Zheng W, Shu X: Prevalence and determinants of hyperuricemia in middle-age, urban Chinese men.

    Metab Syndr Relat Disord 2010, 8:263-270. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  39. Wannamethee SG, Shaper AG: Physical activity in the prevention of cardiovascular disease: an epidemiological perspective [abstract].

    Sports Med 2001, 31(2):101-114. PubMed Abstract | Publisher Full Text OpenURL

  40. Bosco J, Greenleaf J, Kaye R, Averkin E: Reduction of serum uric acid in young men during physical training [abstract].

    Am J Cardiol 1970, 25(1):46-52. PubMed Abstract | Publisher Full Text OpenURL

  41. Church TS, Finlet CE, Earnest CP, Kampert JB, Gibbbons LW, Blair SN: Relative associations of fitness and fatness to fibrinogen, white blood cell count, uric acid and metabolic syndrome.

    Int J Obes Relat Metab Disord 2002, 26(6):805-813. PubMed Abstract | Publisher Full Text OpenURL

  42. Gomez V, Casella A, Chagas A, Tanus-Santos J: Enhanced concentrations of relevant markers of nitric oxide formation after exercise training in patients with metabolic syndrome.

    Nitric Oxide 2008, 19(4):345-350. PubMed Abstract | Publisher Full Text OpenURL

  43. Aronson D, Avizohar O, Levy Y, Bartha P, Jacob G, Markiewicz W: Factor analysis of risk variables associated with low-grade inflammation.

    Atherosclerosis 2008, 200:206-212. PubMed Abstract | Publisher Full Text OpenURL

  44. Elosua R, Bartali B, Ordovas JM, Corsi AM, Lauretani F, Ferrucci L, InCHIANTI Investigators: Association between physical activity, physical performance, and inflammatory biomarkers in an elderly population: the InCHIANTI study.

    J Gerontol 2005, 60(6):760-767. Publisher Full Text OpenURL

  45. Nakagawa T, Hu H, Zharikov S, Tuttle K, Short R, Glushakova O, Ouyang X, Feig D, Block E, Herrera-Acosta J, Patel J, Johnson R: A causal role for uric acid in fructose-induced metabolic syndrome.

    Am J Physiol Renal Physiol 2006, 290:F625-F631. PubMed Abstract | Publisher Full Text OpenURL

  46. Roy D, Perreault M, Marette A: Insulin stimulation of glucose uptake in skeletal muscles and adipose tissues in vivo is NO dependent.

    Am J Physiol 1998, 274:E692-E699. PubMed Abstract | Publisher Full Text OpenURL

Pre-publication history

The pre-publication history for this paper can be accessed here: