Literature DB >> 28445311

An observational study on the relationship between serum uric acid and hypertension in a Northern Chinese population aged 45 to 59 years.

Feng-Na Yu1, Yun-Xia Shi, Hai-Ying Cheng, Xun-Lan Huang, Shan-Shan Liu.   

Abstract

Little is known about the relationship serum uric acid (SUA) and hypertension in Chinese population. Therefore, the aim of this study was to determine the association between SUA and hypertension in a northern Chinese population. The participants were a group of 1730 Chinese adults aged 45 to 59 years in Shandong Province, who were recruited from the Linyi Nutrition and Health Survey (2015-2016). Hypertension was defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg. Hyperuricemia was defined as SUA >420 μmol/L (7.0 mg/dL) for men and >360 μmol/L (6.0 mg/dL) for women. All anthropometric measurements and biochemical data were collected following standard protocols. Multivariate logistic regression analysis was used to examine the association between SUA and hypertension with adjustment of confounding variables. Body mass index, waist circumference, waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, fasting blood glucose, triglycerides, alanine aminotransferase, aspartate aminotransferase, SUA, and the prevalence of hypertension and hyperuricemia were significantly higher in males than in females (P < .001). The females had significantly higher levels of total cholesterol and high-density lipoprotein cholesterol. Besides, after adjustment for confounding variables, hyperuricemia was associated with an increased risk of hypertension in both male and female patients, with odds ratios of 2.152 (95% confidence interval 1.324-3.498) and 2.133(95% confidence interval 1.409-3.229), respectively.Hyperuricemia was significantly associated with the risk of hypertension. Further longitudinal studies and trails are needed to confirm our findings.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28445311      PMCID: PMC5413276          DOI: 10.1097/MD.0000000000006773

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


Introduction

Hypertension is 1 of the most common chronic diseases, affecting more than one billion people worldwide.[ In United States, it is a significant health problem, with an estimated 65 million adults suffering from hypertension.[ Meanwhile, the prevalence of hypertension in China has also dramatically increased by almost one-third from 1991 to 2002, which comprises approximately 18% of adult population.[ It is well-known that hypertension is considered as a multifactorial chronic disease that may be related to some risk factors, including genetic factors, alcohol intake, smoking, dietary factors, family history of hypertension, and overweight/obesity.[ Hyperuricemia is a metabolic disturbance of purine nucleotide, and considered as a precursor of gout. Over the past decade, although its incidence in Chinese population has not been extensively investigated, a remarkable increasing trend has been observed.[ Similarly, previous studies have shown that increased uric acid concentrations are significantly associated with the elements of metabolic syndrome, for example, hypertension, obesity, diabetes, and insulin resistance.[ However, to the best of our knowledge, data on the relation between hyperuricemia and hypertension in Chinese population have scarcely been reported,[ especially among a middle-aged and northern Chinese population. Therefore, the aim of the present study was to investigate the association between serum uric acid (SUA) and hypertension among a northern Chinese population aged 45 to 59 years.

Subjects and methods

Study population

During the period from June 2015 through September 2016, this cross-sectional study was performed in the city of Linyi, Shandong Province, China. Participants aged 45 to 59 years were recruited in present study. In these areas and countries, we randomly chose 2 residential villages or communities, according to resident health records. A total of 1906 eligible participants (1143 male, 763 female) were invited to attend a health examination at the Medical Center for Physical Examination, Linyi People's Hospital, where the participant was face to face interviewed by a trained interviewer using written questionnaires. Thirty-six participants with missing or incomplete information in their questionnaires were included. Besides, we also excluded 140 participants who did not examine the SUA or/and blood pressure. Overall, a total of 1730 participants (1021 male and 709 female) remained in our analyses. Written informed consent was obtained from all subjects, and the protocol of this study was approved by the institutional review and ethic committee of Linyi People's Hospital, Shandong Province, China.

Anthropometric measurements

Height was measured with subject not wearing shoes to the nearest 0.1 cm. Weight in light clothes and without shoes was measured with a digital scale to the nearest 100 g. Body mass index (BMI) was calculated using weight (in kilograms) divided by squared height(in meters). Waist circumstance (WC) was measured midway between the lowest rib and the superior border of the iliac crest with an inelastic measuring tape at the end of normal expiration to the nearest 1 mm[ and hip circumstance was measured to the nearest 0.5 cm at the maximum level over light clothing by using an inelastic plastic tape.[ All measurements were performed by trained nurses to use standardized procedures.

Assessment of biomarker

Blood samples were obtained after 12 hours of fasting overnight. After blood was collected, samples were allowed to clot at room temperature for 1 to 3 hours and serum was separated. After clotting, serum was separated by centrifugation for 15 minutes at 3000 r.p.m. Then samples were analyzed in the Medical Center for Physical Examination, Linyi People's Hospital, fasting blood glucose (FPG), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), SUA, alanine aminotransferase (ALT), and aspartate aminotransferase (AST) using the Hitachi 7180 auto-analyzer (Hitachi, Tokyo, Japan).

Blood pressure measurement

After participants rested for 5 minutes in the sitting position, blood pressure was measured by using a standard mercury sphygmomanometer. Then, a trained nurse measured the blood pressure 2 times in seated participants, and thereafter the means of 2 measurements of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were calculated and considered for analysis.

Definitions

Obesity was defined by BMI ≥28 kg/m2 and abdominal adiposity was defined as male WC ≥85 cm and female WC ≥80 cm).[ Hyperuricemia was defined as SUA >420 μmol/L (7.0 mg/dL) for men and >360 μmol/L (6.0 mg/dL) for women.[ Hypertension was defined as SBP ≥140 mm Hg and/or DBP ≥90 mm Hg, and/or the current use of antihypertensive medication.[

Statistical analysis

The data for continuous variables were reported as the mean ± SD, and the data for categorical variables were reported as sum (proportions). The chi-square test and independent-samples t test or Mann–Whitney U test were used to compare categorical variables and continuous variables, respectively. Pearson bivariate correlation was made between SUA and other variables. Besides, multivariate logistic regression analysis was used to examine the association between SUA and hypertension with adjustment of confounding variables. Two-sided P values <.05 were considered statistically significant. All analyses were performed on the Statistical Package for Social Sciences (version 20.0, SPSS Inc, Chicago, IL).

Results

Comparison of clinical and biochemical characteristics between subjects with hypertension and nonhypertension are shown in Table 1. Total prevalence of hyperuricemia in our study population was 14.05%. In hypertension subjects, it was 17.40% and in nonhypertension subjects it was 12.49%. Age, BMI, WC, waist-to-hip ratio (WHR), SBP, DBP, TG, TC, SUA, and the prevalence of hyperuricemia were significantly higher in hypertension subjects than in nonhypertension subjects(P < .05).
Table 1

Comparison of clinical and biochemical characteristics between subjects with hypertension and nonhypertension.

Comparison of clinical and biochemical characteristics between subjects with hypertension and nonhypertension. Demographic and clinical characteristics of subjects by sex are presented in Table 2, which indicated higher levels of BMI, WC, WHR, SBP, DBP, FPG, TG, SUA, ALT, AST, and prevalence of hypertension and hyperuricemia in males than in females (P < .001). Besides, females had significantly higher levels of TC and HDL-C (5.43 ± 0.87 vs 5.02 ± 0.96, 1.61 ± 0.27 vs 1.18 ± 0.21; P < .001, respectively) than males.
Table 2

Demographic, and clinical characteristics of subjects by sex.

Demographic, and clinical characteristics of subjects by sex. Pearson bivariate correlation between SUA and other factors disclosed top 4 correlation coefficients belonged to TG (r = 0.269, P < .001), WHR (r = 0.214, P < .001), WC (r = 0.188, P < .001), and TC (r = 0.184, P < .01) in hypertension subjects, and BMI (r = 0.255, P < .001), weight (r = 0.251, P < .001), WC (r = 0.227, P < .001), and WHR (r = 0.190, P < .001) in nonhypertension subjects (Table 3). In addition, FPG and HDL-C were inversely associated with SUA in both nonhypertension and hypertension subjects (P < .05). Furthermore, age was inversely associated with SUA in hypertension subjects (r = −0.129, P < .05).
Table 3

Pearson bivariate correlations between serum uric acid levels and other factors in the subjects with hypertension and nonhypertension.

Pearson bivariate correlations between serum uric acid levels and other factors in the subjects with hypertension and nonhypertension. Multivariable-adjusted odds ratios (OR) (95%confidence interval [CI]) of hyperuricemia for the risk of hypertension stratified by sex are shown in Table 4. In the model 1, males were more likely to suffer from hypertension compared with females (OR 1.710, 95% CI 1.334–2.011; OR 1.627, 95% CI 1.263–1.935, P < .001, respectively). In models 2 and 3, our results indicated that the odds of having hypertension was significantly higher in males (OR 1.586, 95% CI 1.387–1.814, P < .01; OR 1.260, 95% CI 1.105–1.536, P < .05, respectively) than in females (OR 1.446, 95% CI 1.214–1.689, P < .01; OR 1.037, 95% CI 1.033–1.108, P < .05, respectively).
Table 4

Multivariable-adjusted odds ratios and 95% confidence intervals of hyperuricemia for hypertension stratified by sex.

Multivariable-adjusted odds ratios and 95% confidence intervals of hyperuricemia for hypertension stratified by sex.

Discussion

In the present study, the results indicate that hyperuricemia is associated with an elevated risk of hypertension, and the prevalence of hyperuricemia was significantly higher in hypertension subjects than that in nonhypertension subjects. Moreover, our findings also show that the relation between hyperuricemia and risk of hypertension in males is significantly stronger than in females. To our knowledge, this is the first study reporting the association between hyperuricemia and risk of hypertension in a middle-aged and northern Chinese population. The major finding in the present study is that hyperuricemia is significantly associated with an elevated risk of hypertension. To date, studies on the relation between hyperuricemia and risk of hypertension have reported inconsistent findings. Although some epidemiological and clinical studies have demonstrated that hyperuricemia is an independent risk factor for hypertension,[ others also reported a null association.[ Besides, the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure and the American Heart Association have not recognized elevated SUA as an important risk factor for hypertension.[ However, an emerging body of research in recent years has examined the relationship between hyperuricemia and risk of hypertension, and found that hyperuricemia plays an important role in the development of hypertension.[ There are several potential explanations for the positive association between hyperuricemia and risk of hypertension. Firstly, elevated SUA level may induce renal vasoconstriction by reduction of circulating nitric oxide and activation of the rennin–angiotensin system, and thereby increasing the level of blood pressure.[ Secondly, several studies have confirmed that elevated SUA may cause endothelial dysfunction by inducing antiproliferative effects and impairing nitric oxide production, and oxygen radicals generated by xanthine oxidase contributed to the pathogenesis of hypertension.[ Thirdly, SUA may enter vascular smooth muscle cells stimulating multiple factors, for example, cycloxygenase-2 and platelet-derived growth factor, which cause smooth muscle cellular proliferation, and thus lead to secondary arteriolosclerosis.[ Furthermore, previous studies have shown that hyperuricemia is closely related to obesity and insulin resistance.[ To the best of our knowledge, obesity and insulin resistance are considered as the key risk factors for hypertension. Meanwhile, recent a study reported that insulin resistance could promote the formation of hypertension through stimulating renal tubular sodium reabsorption, augmenting sympathetic nervous system reactivity and activating the rennin–angiotensin system.[ In this study, we also found the relationship of hyperuricemia with hypertension in males was significantly stronger than in females. This is in agreement with a previous study reporting the similar result.[ The apparently protective effect of sex might be related to estrogen level. Estrogen is known to possess the effect of promoting excretion of uric acid. Here, the sex difference in the relation between hypeuricemia and risk of hypertension may lie in the fact that estrogen is a uricosuric agent. A previous study by Anton et al[ showed that higher renal clearance of urate in women was due to their higher plasma estrogen levels and lower tuber urate postsecretory reabsorption. Moreover, higher consumption of alcohol is significantly associated with the risk of hyperuricemia. Previous study has shown that alcohol consumption can elevate SUA levels by increased uric acid synthesis.[ Furthermore, there are significantly higher levels of BMI in males compared with that in females (24.73 ± 2.35 vs 23.79 ± 2.46). In a study by Wang et al,[ the positive association between BMI and SUA level has been reported in a Chinese population.

Strengths and limitations

This study has its own strengths and limitations. Firstly, this is the first study reporting the relation between SUA and hypertension risk among a middle-aged and northern Chinese population. Findings from the present study add to existing literature by supporting the association between hyperuricemia and risk of hypertension. Secondly, our results are reliable because all biochemical data were obtained from the Medical Center for Physical Examination, Linyi People's Hospital. Thirdly, we also have adjusted for some potential known confounders for reliability in our analyses. However, some limitations need be considered in the interpretation of our findings. Firstly, due to the cross-sectional design of this study, one cannot infer causality. Thus, our findings need to be confirmed in future prospective study. Secondly, information on the risk factors for hyperuricemia (eg, history of kidney disease and dietary behavior) was not collected in the present study. Consequently, our findings may suffer from differing degrees of completeness and accuracy. Finally, the participants are only from the city of Linyi, Shandong Province, China. Thus, our findings may not be extrapolated to a population in the whole China.

Conclusions

In conclusion, our findings indicate that hyperuricemia is significantly associated with risk of hypertension, and the association between hyperuricemia and hypertension risk is stronger in males than that in females among a middle-aged and northern Chinese population. However, prospective studies are needed to confirm the causal relation between hyperuricemia with risk of hypertension.

Acknowledgments

We thank all participants from Department of burns and orthopedics, Linyi People's Hospital for their assistance and support. We also acknowledge the Medical Center for Physical Examination, Linyi People's Hospital, for their important contributions to collection of data in the present study.
  30 in total

1.  Comparisons of waist circumferences measured at 4 sites.

Authors:  Jack Wang; John C Thornton; Salina Bari; Bennett Williamson; Dympna Gallagher; Steven B Heymsfield; Mary Horlick; Donald Kotler; Blandine Laferrère; Laurel Mayer; F Xavier Pi-Sunyer; Richard N Pierson
Journal:  Am J Clin Nutr       Date:  2003-02       Impact factor: 7.045

2.  Uric acid-induced C-reactive protein expression: implication on cell proliferation and nitric oxide production of human vascular cells.

Authors:  Duk-Hee Kang; Sung-Kwang Park; In-Kyu Lee; Richard J Johnson
Journal:  J Am Soc Nephrol       Date:  2005-10-26       Impact factor: 10.121

3.  Interaction between serum uric acid and triglycerides in relation to blood pressure.

Authors:  F Teng; R Zhu; C Zou; Y Xue; M Yang; H Song; J Liang
Journal:  J Hum Hypertens       Date:  2010-12-16       Impact factor: 3.012

4.  Relations of serum uric acid to longitudinal blood pressure tracking and hypertension incidence.

Authors:  Johan Sundström; Lisa Sullivan; Ralph B D'Agostino; Daniel Levy; William B Kannel; Ramachandran S Vasan
Journal:  Hypertension       Date:  2004-11-29       Impact factor: 10.190

5.  Prevalence of the metabolic syndrome in individuals with hyperuricemia.

Authors:  Hyon K Choi; Earl S Ford
Journal:  Am J Med       Date:  2007-05       Impact factor: 4.965

6.  Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China.

Authors:  Zhimin Miao; Changgui Li; Ying Chen; Shihua Zhao; Yangang Wang; Zhongchao Wang; Xinyan Chen; Feng Xu; Fang Wang; Ruixia Sun; Jianxia Hu; Wei Song; Shengli Yan; Cong-Yi Wang
Journal:  J Rheumatol       Date:  2008-07-15       Impact factor: 4.666

7.  Sex differences in uric acid metabolism in adults: evidence for a lack of influence of estradiol-17 beta (E2) on the renal handling of urate.

Authors:  F M Antón; J García Puig; T Ramos; P González; J Ordás
Journal:  Metabolism       Date:  1986-04       Impact factor: 8.694

8.  Association between hyperuricemia and hypertension in a Chinese population at a high risk of hypertension.

Authors:  Zhen Sui Lu; Zhen Hong Lu; Hang Lu; Shi Gui Yan; Jian An Wang; Ling Li; Wei You
Journal:  Blood Press       Date:  2009       Impact factor: 2.835

9.  Relationship between lifestyle choices and hyperuricemia in Chinese men and women.

Authors:  Li Liu; Shanshan Lou; Ke Xu; Zhaowei Meng; Qing Zhang; Kun Song
Journal:  Clin Rheumatol       Date:  2012-11-07       Impact factor: 2.980

10.  Effects of aerobic exercise training on psychosocial status and serum uric Acid in men with essential hypertension: a randomized controlled trial.

Authors:  S Lamina; Gc Okoye
Journal:  Ann Med Health Sci Res       Date:  2012-07
View more
  4 in total

1.  Association between hyperuricemia and metabolic syndrome in patients suffering from bipolar disorder.

Authors:  Jingxu Chen; Hongmei Chen; Junhui Feng; Ligang Zhang; Juyan Li; Ran Li; Shaoli Wang; Ian Wilson; Alison Jones; Yunlong Tan; Fude Yang; Xu-Feng Huang
Journal:  BMC Psychiatry       Date:  2018-12-18       Impact factor: 3.630

2.  Gender- and Age-Specific Differences in the Association of Hyperuricemia and Hypertension: A Cross-Sectional Study.

Authors:  Xiaoyun Lin; Xiqian Wang; Xin Li; Lili Song; Zhaowei Meng; Qing Yang; Wenjuan Zhang; Yuxia Gao; Zhenwen Yang; Heng Cai; Bo Bian; Yongle Li; Xuefang Yu; Xin Du; Shaopeng Xu; Jing Nie; Ming Liu; Jinhong Sun; Qing Zhang; Ying Gao; Kun Song; Xing Wang; Li Zhao; Yaguang Fan
Journal:  Int J Endocrinol       Date:  2019-02-28       Impact factor: 3.257

3.  Population Attributable Risk of Hyperuricemia in Hypertension Incidence in 20-74-Year-Old Population during a 10-Year Longitudinal Cohort: Yazd Healthy Heart Cohort.

Authors:  Mojtaba Mohammadhoseini; Seyedeh Mahdieh Namayandeh; Hosein Fallahzadeh; Fatemeh Majidpour; Seyed Mahmoud Sadr-Bafghi; Mohammadhosein Soltani; Leila Hadiani; Mohammadtaghi Sarebanhassanabadi; Hossein Nough; Ahmad Karimi; Maryam Askari
Journal:  Iran J Public Health       Date:  2020-10       Impact factor: 1.429

4.  Individual and combined association analysis of famine exposure and serum uric acid with hypertension in the mid-aged and older adult: a population-based cross-sectional study.

Authors:  Hengying Che; Yuanzhen Li; Lin Zhang; Liu Yang; Congzhi Wang; Ting Yuan; Dongmei Zhang; Huanhuan Wei; Jing Li; Yunxiao Lei; Lu Sun; Xiaoping Li; Ying Hua
Journal:  BMC Cardiovasc Disord       Date:  2021-09-06       Impact factor: 2.298

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.