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Low urine pH affects the development of metabolic syndrome, associative with the increase of dyslipidemia and dysglycemia: Nationwide cross-sectional study (KNHANES 2013-2015) and a single-center retrospective cohort study

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  • Seung Min Chung
  • Jun Sung Moon
  • Ji Sung Yoon
  • Kyu Chang Won
  • Hyoung Woo Lee

Abstract

Introduction: Low urine pH (UpH) and high serum uric acid are considered evidence of metabolic disorders. The effect of low UpH on the development of metabolic syndrome (MetS) is less clear than that of high serum uric acid. We investigated the association between low UpH on the development of MetS and its components: central obesity, dyslipidemia, hypertension, and dysglycemia. Methods: Two studies were conducted based on 2 datasets. The cross-sectional study included 14,511 subjects aged 19–80 years, based on the Korea National Health and Nutrition Examination Survey in 2013–2015. The retrospective cohort study included 3,453 subjects aged 19–80 years without MetS at the first checkup, who underwent at least 3 health checkups at a single tertiary hospital between 2011 and 2017. UpH was measured using an automatic urine analyzer in the range of 5.0–9.0 at first visit. Results: In the cross-sectional study, low UpH (= 5.0) was associated with the prevalence of MetS (odds ratio [OR] = 1.480, 95% confidence interval [CI] 1.334–1.643, p

Suggested Citation

  • Seung Min Chung & Jun Sung Moon & Ji Sung Yoon & Kyu Chang Won & Hyoung Woo Lee, 2018. "Low urine pH affects the development of metabolic syndrome, associative with the increase of dyslipidemia and dysglycemia: Nationwide cross-sectional study (KNHANES 2013-2015) and a single-center retr," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-13, August.
    • Handle: RePEc:plo:pone00:0202757
    DOI: 10.1371/journal.pone.0202757
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    References listed on IDEAS

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    1. Ji Wang & Tianqiang Qin & Jianrong Chen & Yulin Li & Ling Wang & He Huang & Jing Li, 2014. "Hyperuricemia and Risk of Incident Hypertension: A Systematic Review and Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    2. Qin Lv & Xian-Fang Meng & Fang-Fang He & Shan Chen & Hua Su & Jing Xiong & Pan Gao & Xiu-Juan Tian & Jian-She Liu & Zhong-Hua Zhu & Kai Huang & Chun Zhang, 2013. "High Serum Uric Acid and Increased Risk of Type 2 Diabetes: A Systemic Review and Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
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