For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
10
views
29
references
 Top references
cited by
78
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      566
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: A study on Bangladeshi adults

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background and objectives

          Recent studies have shown that hyperuricemia is commonly associated with dyslipidemia, cardiovascular diseases, hypertension and metabolic syndrome. Elevated serum uric acid has been demonstrated to be associated with obesity in the adult population in many countries; however, there is still a lack of evidence for the Bangladeshi population. The aims of this study were to evaluate the prevalence of hyperuricemia and determine the relationship between serum uric acid (SUA) and obesity among the Bangladeshi adults.

          Methods

          In this cross-sectional study, blood samples were collected from 260 adults (142 males and 118 females) and analyzed for SUA and lipid profile. All participants were categorized as underweight (n = 11), normal (n = 66), overweight (n = 120) and obese (n = 63) according to the body mass index (BMI) scale for the Asian population. Based on SUA concentration the participants were stratified into four quartiles (Q1: < 232 μmol/L, Q2: 232–291 μmol/L, Q3: 292–345 μmol/L and Q4: > 345 μmol/L).

          Results

          The mean age and BMI of the participants were 32.5 ± 13.3 years and 24.9 ± 3.8 kg/m 2, respectively. The average level of SUA was 294 ± 90 μmol/L with a significant difference between males and females (p < 0.001). Overall, the estimated prevalence of hyperuricemia was 9.3% with 8.4% in male and 10.2% in female participants. There were significant increases in the prevalence of obesity (17.4%, 22.2%, 28.6% and 31.8%, respectively, p < 0.01 for trend) across the SUA quartiles. A multiple logistic regression analysis revealed that SUA quartiles were independently associated with the presence of obesity (p < 0.01).

          Conclusion

          Present study indicates a significant positive relationship between SUA and obesity among the Bangladeshi adults. Therefore, routine measurement of SUA is recommended in obese individuals to prevent hyperuricemia and its related complications.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Prevalence of Hyperuricemia and Gout in Mainland China from 2000 to 2014: A Systematic Review and Meta-Analysis

          Rui Liu, Cheng-Cheng Han, Di Wu … (2015)
          We systematically identified the prevalence of hyperuricemia and gout in mainland China and provided informative data that can be used to create appropriate local public health policies. Relevant articles from 2000 to 2014 were identified by searching 5 electronic databases: PubMed, Google Scholar, Chinese Wanfang, CNKI, and Chongqing VIP. All of the calculations were performed using the Stata 11.0 and SPSS 20.0 software. The eligible articles (n = 36; 3 in English and 33 in Chinese) included 44 studies (38 regarding hyperuricemia and 6 regarding gout). The pooled prevalence of hyperuricemia and gout was 13.3% (95% CI: 11.9%, 14.6%) and 1.1% (95% CI: 0.7%, 1.5%), respectively. Although publication bias was observed, the results did not change after a trim and fill test, indicating that that impact of this bias was likely insignificant. The prevalence of hyperuricemia and gout was high in mainland China. The subgroup analysis suggested that the geographical region, whether the residents dwell in urban or rural and coastal or inland areas, the economic level, and sex may be associated with prevalence.
          Article 0 comments Cited 251 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Purine-rich foods, dairy and protein intake, and the risk of gout in men.

            Walter W Willett, Karen Atkinson, Hyon K Choi … (2004)
            Various purine-rich foods and high protein intake have long been thought to be risk factors for gout. Similarly, the possibility that the consumption of dairy products has a role in protecting against gout has been raised by metabolic studies. We prospectively investigated the association of these dietary factors with new cases of gout. Over a 12-year period, we prospectively examined the relationship between purported dietary risk factors and new cases of gout among 47,150 men who had no history of gout at base line. We used a supplementary questionnaire to ascertain whether participants met the American College of Rheumatology survey criteria for gout. Diet was assessed every four years by means of a food-frequency questionnaire. During the 12 years of the study, we documented 730 confirmed new cases of gout. The multivariate relative risk of gout among men in the highest quintile of meat intake, as compared with those in the lowest quintile, was 1.41 (95 percent confidence interval, 1.07 to 1.86; P for trend = 0.02), and the corresponding relative risk associated with seafood intake was 1.51 (95 percent confidence interval, 1.17 to 1.95; P for trend = 0.02). In contrast, the incidence of gout decreased with increasing intake of dairy products; the multivariate relative risk among men in the highest quintile, as compared with those in the lowest quintile, was 0.56 (95 percent confidence interval, 0.42 to 0.74; P for trend <0.001). The level of consumption of purine-rich vegetables and the total protein intake were not associated with an increased risk of gout. Higher levels of meat and seafood consumption are associated with an increased risk of gout, whereas a higher level of consumption of dairy products is associated with a decreased risk. Moderate intake of purine-rich vegetables or protein is not associated with an increased risk of gout. Copyright 2004 Massachusetts Medical Society
            Article 0 comments Cited 248 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Uric Acid and Oxidative Stress

              G Glantzounis, E Tsimoyiannis, A. Kappas … (2005)
              Article 0 comments Cited 199 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Nurshad Ali:
                ORCID: http://orcid.org/0000-0003-1649-0887
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Rasheda Perveen: Role: Data curationRole: Formal analysisRole: Methodology
                Shahnaz Rahman: Role: Data curationRole: InvestigationRole: Methodology
                Shakil Mahmood: Role: Data curationRole: Methodology
                Sadaqur Rahman: Role: Data curationRole: Formal analysisRole: Visualization
                Shiful Islam:
                ORCID: http://orcid.org/0000-0002-1826-6777
                Role: Data curationRole: Methodology
                Tangigul Haque: Role: Data curationRole: Visualization
                Abu Hasan Sumon: Role: Data curationRole: Investigation
                Rahanuma Raihanu Kathak: Role: Formal analysisRole: InvestigationRole: Methodology
                Noyan Hossain Molla: Role: ConceptualizationRole: Formal analysis
                Farjana Islam: Role: Data curationRole: Software
                Nayan Chandra Mohanto: Role: InvestigationRole: Validation
                Shaikh Mirja Nurunnabi: Role: Data curationRole: Visualization
                Shamim Ahmed: Role: SoftwareRole: Visualization
                Mustafizur Rahman: Role: ConceptualizationRole: Writing – review & editing
                Petter Bjornstad: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 1 November 2018
                Publication date Collection: 2018
                Volume: 13
                Issue: 11
                Electronic Location Identifier: e0206850
                Affiliations
                [1 ] Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
                [2 ] Department of Biochemistry and Molecular Biology, Gonoshasthaya Samaj Vittik Medical College, Gono University, Savar, Dhaka, Bangladesh
                [3 ] Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh
                University of Colorado Denver School of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-1649-0887
                http://orcid.org/0000-0002-1826-6777
                Article
                Publisher ID: PONE-D-18-14325
                DOI: 10.1371/journal.pone.0206850
                PMC ID: 6211757
                PubMed ID: 30383816
                SO-VID: 2cbecd8f-982d-4415-aff2-743eef3b9699
                Copyright © © 2018 Ali et al
                License:

                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 author and source are credited.

                History
                Date received : 12 May 2018
                Date accepted : 19 October 2018
                Page count
                Figures: 3, Tables: 5, Pages: 12
                Funding
                This work did not receive any external funding. It was supported internally with a small fund from Gonoshasthaya Samaj Vittik Medical College, Gono University, Savar, Dhaka 1344, Bangladesh.
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Obesity
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Obesity
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Body Mass Index
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Body Mass Index
                Subject: Physical Sciences
                Subject: Chemistry
                Subject: Chemical Compounds
                Subject: Acids
                Subject: Uric Acid
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Anthropometry
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Anthropometry
                Subject: Medicine and Health Sciences
                Subject: Metabolic Disorders
                Subject: Metabolic Syndrome
                Subject: Medicine and Health Sciences
                Subject: Cardiovascular Medicine
                Subject: Cardiovascular Diseases
                Subject: Medicine and Health Sciences
                Subject: Metabolic Disorders
                Subject: Dyslipidemia
                Subject: Medicine and Health Sciences
                Subject: Vascular Medicine
                Subject: Blood Pressure
                Subject: Hypertension
                Custom metadata
                Data Availability All relevant data are within the paper.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content566

                See all similar

                Cited by98

                See all cited by

                Most referenced authors795

                See all reference authors