IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5379-d390049.html
   My bibliography  Save this article

Coffee Consumption, Genetic Polymorphisms, and the Risk of Type 2 Diabetes Mellitus: A Pooled Analysis of Four Prospective Cohort Studies

Author

Listed:
  • An Na Kim

    (Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea)

  • Hyun Jeong Cho

    (Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea)

  • Jiyoung Youn

    (Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea)

  • Taiyue Jin

    (Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea)

  • Moonil Kang

    (Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Joohon Sung

    (Department of Epidemiology, School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Jung Eun Lee

    (Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea
    The Research Institute of Human Ecology, Seoul National University, Seoul 08826, Korea)

Abstract

The association between coffee consumption and the risk of type 2 diabetes may vary by genetic variants. Our study addresses the question of whether the incidence of type 2 diabetes is related to the consumption of coffee and whether this relationship is modified by polymorphisms related to type 2 diabetes. We performed a pooled analysis of four Korean prospective studies that included 71,527 participants; median follow-up periods ranged between 2 and 13 years. All participants had completed a validated food-frequency questionnaire (FFQ) at baseline. The odds ratios (ORs) and 95% confidence intervals (CIs) for type 2 diabetes were calculated using logistic regression models. The ORs were combined using a fixed or random effects model depending on the heterogeneity across the studies. Compared with 0 to <0.5 cups/day of coffee consumption, the OR for type 2 diabetes was 0.89 (95% CI: 0.80–0.98, p for trend = 0.01) for ≥3 cups/day of coffee consumption. We did not observe significant interactions by five single nucleotide polymorphisms (SNPs) related to type 2 diabetes ( CDKAL1 rs7756992, CDKN2A /B rs10811661, KCNJ11 rs5215, KCNQ1 rs163184, and PEPD rs3786897) in the association between coffee and the risk of type 2 diabetes. We found that coffee consumption was inversely associated with the risk of type 2 diabetes.

Suggested Citation

  • An Na Kim & Hyun Jeong Cho & Jiyoung Youn & Taiyue Jin & Moonil Kang & Joohon Sung & Jung Eun Lee, 2020. "Coffee Consumption, Genetic Polymorphisms, and the Risk of Type 2 Diabetes Mellitus: A Pooled Analysis of Four Prospective Cohort Studies," IJERPH, MDPI, vol. 17(15), pages 1-18, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5379-:d:390049
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5379/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5379/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tara Kelly & David Unwin & Francis Finucane, 2020. "Low-Carbohydrate Diets in the Management of Obesity and Type 2 Diabetes: A Review from Clinicians Using the Approach in Practice," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    2. Denisa Margină & Anca Ungurianu & Carmen Purdel & Dimitris Tsoukalas & Evangelia Sarandi & Maria Thanasoula & Fotios Tekos & Robin Mesnage & Demetrios Kouretas & Aristidis Tsatsakis, 2020. "Chronic Inflammation in the Context of Everyday Life: Dietary Changes as Mitigating Factors," IJERPH, MDPI, vol. 17(11), pages 1-27, June.
    3. Yutian Yin & Weiqing Han & Yuhan Wang & Yue Zhang & Shili Wu & Huiping Zhang & Lingling Jiang & Rui Wang & Peng Zhang & Yaqin Yu & Bo Li, 2015. "Identification of Risk Factors Affecting Impaired Fasting Glucose and Diabetes in Adult Patients from Northeast China," IJERPH, MDPI, vol. 12(10), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ewa Czarniecka-Skubina & Marlena Pielak & Piotr Sałek & Renata Korzeniowska-Ginter & Tomasz Owczarek, 2021. "Consumer Choices and Habits Related to Coffee Consumption by Poles," IJERPH, MDPI, vol. 18(8), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiangen Song & Xiaojuan Zha & Haibo Li & Rui Guo & Yu Zhu & Yufeng Wen, 2016. "Analysis of Blood Glucose Distribution Characteristics and Its Risk Factors among a Health Examination Population in Wuhu (China)," IJERPH, MDPI, vol. 13(4), pages 1-9, March.
    2. Lok Ming Tam & Kristin Hocker & Tamala David & Edith Marie Williams, 2024. "The Influence of Social Dynamics on Biological Aging and the Health of Historically Marginalized Populations: A Biopsychosocial Model for Health Disparities," IJERPH, MDPI, vol. 21(5), pages 1-20, April.
    3. Sameena Parveen & Yaser Ali Alhazmi, 2022. "Impact of Intermittent Fasting on Metabolic Syndrome and Periodontal Disease—A Suggested Preventive Strategy to Reduce the Public Health Burden," IJERPH, MDPI, vol. 19(21), pages 1-24, November.
    4. Sang-Dol Kim & Young-Ran Yeun, 2022. "Effects of Resistance Training on C-Reactive Protein and Inflammatory Cytokines in Elderly Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 19(6), pages 1-13, March.
    5. Hosihn Ryu & Jihyeon Moon & Jiyeon Jung, 2018. "Influence of Health Behaviors and Occupational Stress on Prediabetic State among Male Office Workers," IJERPH, MDPI, vol. 15(6), pages 1-13, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5379-:d:390049. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.