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Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies

Received: 4 March 2023     Accepted: 10 April 2023     Published: 15 April 2023
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Abstract

Dietary patterns have been found to be related to hyperuricemia (HUA) in some studies, and it is necessary to gather evidence on the role of nutrition in HUA to provide advice and guidance for the management of chronic diseases. The aim of this systematic review and meta-analysis was to investigate the correlation between dietary patterns and HUA risk. We searched seven electronic databases up to 31 January 2023 for studies that investigated adherence to the “Healthy” pattern and “Meat/Western” pattern in relation to HUA. Estimates were pool using random-effects models with stratification by observational study, heterogeneity and publication bias were evaluated. 10 observational studies that identified the “Healthy” and the “Meat/Western” dietary patterns were included in the meta-analysis. The “Healthy” pattern was associated with the reduction of HUA risk (odds ratio (OR) = 0.73; 95% confidence interval (CI): 0.61–0.88) and significantly decreased it in cohort study (OR=0.79; 95% CI: 0.72–0.86) and in Eastern countries (OR=0.79; 95% CI: 0.64–0.98) and Western countries (OR=0.53; 95% CI: 0.30–0.92). The “Meat/Western” pattern was related to increased HUA risk (OR=1.26; 95% CI: 1.17–1.37) and the association still existed in the stratified analysis by study design. The “Healthy” and “Meat/Western” patterns are significantly associated with the reduction and elevation of HUA risk, respectively. This provides a reasonable evidence base to evaluate the role of dietary interventions to prevent HUA.

Published in World Journal of Public Health (Volume 8, Issue 2)
DOI 10.11648/j.wjph.20230802.13
Page(s) 55-67
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Dietary Pattern, Hyperuricemia, Adult, Systematic Review, Meta-Analysis

References
[1] Zhu, Y; Pandya, BJ and 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, 3136-3141.
[2] Roddy, E and Choi, HK. Epidemiology of gout. Rheum Dis Clin North Am, 2014, 40, 155-175.
[3] Yokokawa, H; Fukuda, H; Suzuki, A, et al. Association Between Serum Uric Acid Levels/Hyperuricemia and Hypertension Among 85,286 Japanese Workers. J Clin Hypertens (Greenwich), 2016, 18, 53-59.
[4] Krishnan, E; Pandya, BJ; Chung, L, et al. Hyperuricemia in young adults and risk of insulin resistance, prediabetes, and diabetes: a 15-year follow-up study. Am J Epidemiol, 2012, 176, 108-116.
[5] Wei, CY; Sun, CC; Wei, JC, et al. Association between Hyperuricemia and Metabolic Syndrome: An Epidemiological Study of a Labor Force Population in Taiwan. Biomed Res Int, 2015, 2015, 369179.
[6] Isaka, Y; Takabatake, Y; Takahashi, A, et al. Hyperuricemia-induced inflammasome and kidney diseases. Nephrol Dial Transplant, 2016, 31, 890-896.
[7] Braga, F; Pasqualetti, S; Ferraro, S, et al. Hyperuricemia as risk factor for coronary heart disease incidence and mortality in the general population: a systematic review and meta-analysis. Clin Chem Lab Med, 2016, 54, 7-15.
[8] Choi, HK. A prescription for lifestyle change in patients with hyperuricemia and gout. Curr Opin Rheumatol, 2010, 22, 165-172.
[9] B, L; T, W; Hn, Z, et al. The prevalence of hyperuricemia in China: a meta-analysis. BMC Public Health, 2011, 11, 832.
[10] Zhang, Q; Lou, S; Meng, Z, et al. Gender and age impacts on the correlations between hyperuricemia and metabolic syndrome in Chinese. Clin Rheumatol, 2011, 30, 777-787.
[11] Choi, HK; Atkinson, K; Karlson, EW, et al. Alcohol intake and risk of incident gout in men: a prospective study. Lancet, 2004, 363, 1277-1281.
[12] Hu, FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol, 2002, 13, 3-9.
[13] Michels, KB and Schulze, MB. Can dietary patterns help us detect diet-disease associations? Nutr Res Rev, 2005, 18, 241-248.
[14] Guasch-Ferré, M; Bulló, M; Babio, N, et al. Mediterranean diet and risk of hyperuricemia in elderly participants at high cardiovascular risk. J Gerontol A Biol Sci Med Sci, 2013, 68, 1263-1270.
[15] Zhang, M; Chang, H; Gao, Y, et al. Major dietary patterns and risk of asymptomatic hyperuricemia in Chinese adults. J Nutr Sci Vitaminol (Tokyo), 2012, 58, 339-345.
[16] Choi, HK and Curhan, G. Beer, liquor, and wine consumption and serum uric acid level: the Third National Health and Nutrition Examination Survey. Arthritis Rheum, 2004, 51, 1023-1029.
[17] Stroup, DF; Berlin, JA; Morton, SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. Jama, 2000, 283, 2008-2012.
[18] Liberati, A; Altman, DG; Tetzlaff, J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. Bmj, 2009, 339, b2700.
[19] Kontogianni, MD; Chrysohoou, C; Panagiotakos, DB, et al. Adherence to the Mediterranean diet and serum uric acid: the ATTICA study. Scand J Rheumatol, 2012, 41, 442-449.
[20] Zhang, T; Gan, S; Ye, M, et al. Association between consumption of ultra-processed foods and hyperuricemia: TCLSIH prospective cohort study. Nutr Metab Cardiovasc Dis, 2021, 31, 1993-2003.
[21] Liu, X; Huang, S; Xu, W, et al. Association of dietary patterns and hyperuricemia: a cross-sectional study of the Yi ethnic group in China. Food Nutr Res, 2018, 62.
[22] Xia, Y; Xiang, Q; Gu, Y, et al. A dietary pattern rich in animal organ, seafood and processed meat products is associated with newly diagnosed hyperuricaemia in Chinese adults: a propensity score-matched case-control study. Br J Nutr, 2018, 119, 1177-1184.
[23] Zhang, T; Rayamajhi, S; Meng, G, et al. Dietary patterns and risk for hyperuricemia in the general population: Results from the TCLSIH cohort study. Nutrition, 2021, 93, 111501.
[24] He, F; Wang, LL and Yu, XL. Dietary patterns associated hyperuricemia among Chinese aged 45 to 59 years: An observational study. Medicine (Baltimore), 2017, 96, e9248.
[25] Chrysohoou, C; Skoumas, J; Pitsavos, C, et al. Long-term adherence to the Mediterranean diet reduces the prevalence of hyperuricaemia in elderly individuals, without known cardiovascular disease: The Ikaria study. Maturitas, 2011, 70, 58-64.
[26] Tsai, YT; Liu, JP; Tu, YK, et al. Relationship between dietary patterns and serum uric acid concentrations among ethnic Chinese adults in Taiwan. Asia Pac J Clin Nutr, 2012, 21, 263-270.
[27] Fabiani, R; Naldini, G and Chiavarini, M. Dietary Patterns and Metabolic Syndrome in Adult Subjects: A Systematic Review and Meta-Analysis. Nutrients, 2019, 11.
[28] Govindaraju, T; Sahle, BW; McCaffrey, TA, et al. Dietary Patterns and Quality of Life in Older Adults: A Systematic Review. Nutrients, 2018, 10.
[29] Higgins, JP and Thompson, SG. Quantifying heterogeneity in a meta-analysis. Stat Med, 2002, 21, 1539-1558.
[30] Higgins, JP; Thompson, SG; Deeks, JJ, et al. Measuring inconsistency in meta-analyses. Bmj, 2003, 327, 557-560.
[31] Begg, CB and Mazumdar, M. Operating characteristics of a rank correlation test for publication bias. Biometrics, 1994, 50, 1088-1101.
[32] Egger, M; Davey Smith, G; Schneider, M, et al. Bias in meta-analysis detected by a simple, graphical test. Bmj, 1997, 315, 629-634.
[33] Zinöcker, MK and Lindseth, IA. The Western Diet-Microbiome-Host Interaction and Its Role in Metabolic Disease. Nutrients, 2018, 10.
[34] Kramer, H. Diet and Chronic Kidney Disease. Adv Nutr, 2019, 10, S367-s379.
[35] Oikonomou, E; Psaltopoulou, T; Georgiopoulos, G, et al. Western Dietary Pattern Is Associated With Severe Coronary Artery Disease. Angiology, 2018, 69, 339-346.
[36] McEvoy, CT; Cardwell, CR; Woodside, JV, et al. A posteriori dietary patterns are related to risk of type 2 diabetes: findings from a systematic review and meta-analysis. J Acad Nutr Diet, 2014, 114, 1759-1775.e1754.
[37] Jannasch, F; Kröger, J and Schulze, MB. Dietary Patterns and Type 2 Diabetes: A Systematic Literature Review and Meta-Analysis of Prospective Studies. J Nutr, 2017, 147, 1174-1182.
[38] Cena, H and Calder, PC. Defining a Healthy Diet: Evidence for The Role of Contemporary Dietary Patterns in Health and Disease. Nutrients, 2020, 12.
[39] Neuhouser, ML. The importance of healthy dietary patterns in chronic disease prevention. Nutr Res, 2019, 70, 3-6.
[40] van de Rest, O; Berendsen, AA; Haveman-Nies, A, et al. Dietary patterns, cognitive decline, and dementia: a systematic review. Adv Nutr, 2015, 6, 154-168.
[41] Devine, CM. A life course perspective: understanding food choices in time, social location, and history. J Nutr Educ Behav, 2005, 37, 121-128.
[42] Kousar, R; Burns, C and Lewandowski, P. A culturally appropriate diet and lifestyle intervention can successfully treat the components of metabolic syndrome in female Pakistani immigrants residing in Melbourne, Australia. Metabolism, 2008, 57, 1502-1508.
[43] Adamsson, V; Reumark, A; Cederholm, T, et al. What is a healthy Nordic diet? Foods and nutrients in the NORDIET study. Food Nutr Res, 2012, 56.
[44] Gao, Y; Cui, LF; Sun, YY, et al. Adherence to the Dietary Approaches to Stop Hypertension Diet and Hyperuricemia: A Cross-Sectional Study. Arthritis Care Res (Hoboken), 2021, 73, 603-611.
[45] Hassannejad, R; Kazemi, I; Sadeghi, M, et al. Longitudinal association of metabolic syndrome and dietary patterns: A 13-year prospective population-based cohort study. Nutr Metab Cardiovasc Dis, 2018, 28, 352-360.
[46] Asadi, Z; Ghaffarian Zirak, R; Yaghooti Khorasani, M, et al. Dietary Inflammatory Index is associated with Healthy Eating Index, Alternative Healthy Eating Index, and dietary patterns among Iranian adults. Journal of Clinical Laboratory Analysis, 2020, 34.
[47] Devlin, UM; McNulty, BA; Nugent, AP, et al. The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy mis-reporting. Proc Nutr Soc, 2012, 71, 599-609.
[48] Laporte, S; Chapelle, C; Trone, JC, et al. Early detection of the existence or absence of the treatment effect: A cumulative meta-analysis. J Clin Epidemiol, 2020, 124, 24-33.
[49] Zeng, Y; Guo, M; Fang, X, et al. Gut Microbiota-Derived Trimethylamine N-Oxide and Kidney Function: A Systematic Review and Meta-Analysis. Adv Nutr, 2021, 12, 1286-1304.
[50] Deng, FE; Shivappa, N; Tang, Y, et al. Association between diet-related inflammation, all-cause, all-cancer, and cardiovascular disease mortality, with special focus on prediabetics: findings from NHANES III. Eur J Nutr, 2017, 56, 1085-1093.
[51] Kim, HS; Kwon, M; Lee, HY, et al. Higher Pro-Inflammatory Dietary Score is Associated with Higher Hyperuricemia Risk: Results from the Case-Controlled Korean Genome and Epidemiology Study_Cardiovascular Disease Association Study. Nutrients, 2019, 11.
[52] Fung, TT; Willett, WC; Stampfer, MJ, et al. Dietary patterns and the risk of coronary heart disease in women. Arch Intern Med, 2001, 161, 1857-1862.
[53] Li, N; Wu, X; Zhuang, W, et al. Soy and Isoflavone Consumption and Multiple Health Outcomes: Umbrella Review of Systematic Reviews and Meta-Analyses of Observational Studies and Randomized Trials in Humans. Mol Nutr Food Res, 2020, 64, e1900751.
[54] Richter, CK; Skulas-Ray, AC; Champagne, CM, et al. Plant protein and animal proteins: do they differentially affect cardiovascular disease risk? Adv Nutr, 2015, 6, 712-728.
Cite This Article
  • APA Style

    Can Liu, Xiaolong Li, Feifei Li. (2023). Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies. World Journal of Public Health, 8(2), 55-67. https://doi.org/10.11648/j.wjph.20230802.13

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    ACS Style

    Can Liu; Xiaolong Li; Feifei Li. Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies. World J. Public Health 2023, 8(2), 55-67. doi: 10.11648/j.wjph.20230802.13

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    AMA Style

    Can Liu, Xiaolong Li, Feifei Li. Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies. World J Public Health. 2023;8(2):55-67. doi: 10.11648/j.wjph.20230802.13

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  • @article{10.11648/j.wjph.20230802.13,
      author = {Can Liu and Xiaolong Li and Feifei Li},
      title = {Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies},
      journal = {World Journal of Public Health},
      volume = {8},
      number = {2},
      pages = {55-67},
      doi = {10.11648/j.wjph.20230802.13},
      url = {https://doi.org/10.11648/j.wjph.20230802.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20230802.13},
      abstract = {Dietary patterns have been found to be related to hyperuricemia (HUA) in some studies, and it is necessary to gather evidence on the role of nutrition in HUA to provide advice and guidance for the management of chronic diseases. The aim of this systematic review and meta-analysis was to investigate the correlation between dietary patterns and HUA risk. We searched seven electronic databases up to 31 January 2023 for studies that investigated adherence to the “Healthy” pattern and “Meat/Western” pattern in relation to HUA. Estimates were pool using random-effects models with stratification by observational study, heterogeneity and publication bias were evaluated. 10 observational studies that identified the “Healthy” and the “Meat/Western” dietary patterns were included in the meta-analysis. The “Healthy” pattern was associated with the reduction of HUA risk (odds ratio (OR) = 0.73; 95% confidence interval (CI): 0.61–0.88) and significantly decreased it in cohort study (OR=0.79; 95% CI: 0.72–0.86) and in Eastern countries (OR=0.79; 95% CI: 0.64–0.98) and Western countries (OR=0.53; 95% CI: 0.30–0.92). The “Meat/Western” pattern was related to increased HUA risk (OR=1.26; 95% CI: 1.17–1.37) and the association still existed in the stratified analysis by study design. The “Healthy” and “Meat/Western” patterns are significantly associated with the reduction and elevation of HUA risk, respectively. This provides a reasonable evidence base to evaluate the role of dietary interventions to prevent HUA.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Dietary Patterns and Hyperuricemia in Adult Subjects: A Systematic Review and Meta-Analysis of Observational Studies
    AU  - Can Liu
    AU  - Xiaolong Li
    AU  - Feifei Li
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    DO  - 10.11648/j.wjph.20230802.13
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    UR  - https://doi.org/10.11648/j.wjph.20230802.13
    AB  - Dietary patterns have been found to be related to hyperuricemia (HUA) in some studies, and it is necessary to gather evidence on the role of nutrition in HUA to provide advice and guidance for the management of chronic diseases. The aim of this systematic review and meta-analysis was to investigate the correlation between dietary patterns and HUA risk. We searched seven electronic databases up to 31 January 2023 for studies that investigated adherence to the “Healthy” pattern and “Meat/Western” pattern in relation to HUA. Estimates were pool using random-effects models with stratification by observational study, heterogeneity and publication bias were evaluated. 10 observational studies that identified the “Healthy” and the “Meat/Western” dietary patterns were included in the meta-analysis. The “Healthy” pattern was associated with the reduction of HUA risk (odds ratio (OR) = 0.73; 95% confidence interval (CI): 0.61–0.88) and significantly decreased it in cohort study (OR=0.79; 95% CI: 0.72–0.86) and in Eastern countries (OR=0.79; 95% CI: 0.64–0.98) and Western countries (OR=0.53; 95% CI: 0.30–0.92). The “Meat/Western” pattern was related to increased HUA risk (OR=1.26; 95% CI: 1.17–1.37) and the association still existed in the stratified analysis by study design. The “Healthy” and “Meat/Western” patterns are significantly associated with the reduction and elevation of HUA risk, respectively. This provides a reasonable evidence base to evaluate the role of dietary interventions to prevent HUA.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Department of Nutrition and Food Hygiene, School of Public Health, Qingdao University, Qingdao, China

  • Faculty of Graduate Studies, Baotou Medical College, Baotou, China

  • Medical Records Department, The First Affiliated Hospital of Baotou Medical College, Baotou, China

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