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Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach

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  • May A Beydoun
  • Greg A Dore
  • Jose A Canas
  • Hind A Beydoun
  • Alan B Zonderman

Abstract

Objectives: We tested a model in which Helicobacter pylori seropositivity (Hps) predicted iron status, which in turn acted as a predictor for markers of 1-C metabolism that were then allowed to predict antioxidant status. Methods: National Health and Nutrition Examination Surveys (NHANES 1999–2000) cross-sectional data among adults aged 20–85 y were analyzed (n = 3,055). Markers of Hps, iron status (serum ferritin and transferrin saturation (TS)); 1-C metabolism (serum folate (FOLserum), B-12, total homocysteine (tHcy), methylmalonic acid (MMA)) and antioxidant status (vitamins A and E) were entered into a structural equations model (SEM). Results: Predictors of Hps included older age, lower education and income, racial/ethnic groups (lowest among Non-Hispanic Whites), and lifetime cigarette smoking. SEM modeling indicated that Hps had a direct inverse relationship with iron status (combining serum ferritin and TS) which in turn was positively related to 1-C metabolites (higher serum folate, B-12 or lower tHcy/MMA) that were positively associated with antioxidant status (combining serum vitamins A and E). Another pathway that was found bypassed 1-C metabolites (Hps → Iron_st → Antiox). The sum of all indirect effects from Hps combining both pathways and the other indirect pathways in the model (Hps → Iron_st → OneCarbon; Hps →OneCarbon →Antiox) was estimated at β = -0.006±0.003, p

Suggested Citation

  • May A Beydoun & Greg A Dore & Jose A Canas & Hind A Beydoun & Alan B Zonderman, 2015. "Helicobacter pylori Seropositivity’s Association with Markers of Iron, 1-Carbon Metabolism, and Antioxidant Status among US Adults: A Structural Equations Modeling Approach," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
    • Handle: RePEc:plo:pone00:0121390
    DOI: 10.1371/journal.pone.0121390
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    References listed on IDEAS

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    1. Alan C. Acock, 2013. "Discovering Structural Equation Modeling Using Stata," Stata Press books, StataCorp LP, number dsemus, March.
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