Consumption of red, white, and processed meat and odds of developing kidney damage and diabetic nephropathy (DN) in women: a case control study

  • Atieh Mirzababaei
  • , Faezeh Abaj
  • , Zahra Roumi
  • , Reza Amiri Khosroshahi
  • , Yasaman Aali
  • , Cain C. T. Clark
  • , Mina Radmehr
  • , Khadijeh Mirzaei

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    Abstract

    Diabetic nephropathy (DN) is one of the most prevalent and severe complications of diabetes mellitus (DM) and is associated with increased morbidity and mortality. We aimed to investigate the associations between red, processed, and white meat consumption and the odds of developing kidney damage and DN in women. We enrolled 105 eligible women with DN and 105 controls (30–65 years). A validated and reliable food frequency questionnaire (FFQ) was used to evaluate the consumption of red, processed, and white meat. Biochemical variables and anthropometric measurements were assessed for all patients using pre-defined protocols. Binary logistic regression was conducted to examine possible associations. The results of the present study showed that there was a direct significant association between high consumption of red meat and processed meats and odds of microalbuminuria (red meat 2.30, 95% CI 1.25, 4.22; P-value = 0.007, processed meat: OR 2.16, 95% CI 1.18, 3.95; P-value = 0.01), severe albuminuria (red meat OR 3.25, 95% CI 1.38, 7.46; P-value = 0.007, processed meat: OR 2.35, 95% CI 1.01, 5.49; P-value = 0.04), BUN levels (red meat: OR 2.56, 95% CI 1.10, 5.93; P-value = 0.02, processed meat: OR 2.42, 95% CI 1.04, 5.62; P-value = 0.03), and DN (red meat 2.53, 95% CI 1.45, 4.42; P-value = 0.001, processed meat: OR 2.21; 95% CI 1.27, 3.85; P-value = 0.005). In summary, our study suggests that higher consumption of red and processed meat sources may be associated with microalbuminuria, severe albuminuria, higher BUN level, and higher odds of DN.
    Original languageEnglish
    Article number10344
    Number of pages14
    JournalScientific Reports
    Volume14
    DOIs
    Publication statusPublished - 6 May 2024

    Bibliographical note

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    Funder

    This study was supported by Tehran University of Medical Sciences (Grant No: 1401-4-212-64149).

    Funding

    This study was supported by Tehran University of Medical Sciences (Grant No: 1401-4-212-64149).

    FundersFunder number
    Tehran University of Medical Sciences 1401-4-212-64149

      UN SDGs

      This output contributes to the following UN Sustainable Development Goals (SDGs)

      1. SDG 3 - Good Health and Well-being
        SDG 3 Good Health and Well-being

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