IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p9391-d877011.html
   My bibliography  Save this article

Correlation between Glycation-Related Biomarkers and Quality of Life in the General Japanese Population: The Iwaki Cross-Sectional Research Study

Author

Listed:
  • Masaya Tsubokawa

    (Innovation Center for Health Promotion, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan
    Health Science Research Center, FANCL Research Institute, Yokohama 244-0806, Japan)

  • Miyuki Nishimura

    (Health Science Research Center, FANCL Research Institute, Yokohama 244-0806, Japan)

  • Koichi Murashita

    (Center of Innovation Research Initiatives Organization, Hirosaki University, Hirosaki 036-8562, Japan)

  • Takuro Iwane

    (Center of Innovation Research Initiatives Organization, Hirosaki University, Hirosaki 036-8562, Japan)

  • Yoshinori Tamada

    (Innovation Center for Health Promotion, Graduate School of Medicine, Hirosaki University, Hirosaki 036-8562, Japan)

Abstract

The correlation between diabetes-related biomarkers and quality of life (QOL) remains unclear. In this cross-sectional study, we investigated the correlation between diabetes-related biomarkers and QOL in a general Japanese population who underwent health checkups as a part of the Iwaki Health Promotion Project. Male and female participants aged ≥ 20 years from Iwaki District, Hirosaki City, Aomori Prefecture who participated in the 2019 medical evaluation were recruited. QOL was evaluated using the Short Form Health Survey 36 (SF-36). Fasting blood glucose, homeostatic model assessment-estimated insulin resistance (HOMA-IR), hemoglobin A1c (HbA1c), glycoalbumin, and plasma pentosidine were also evaluated as diabetes-related markers. Of the 1065 recruited participants, 1053 completed the clinical and QOL evaluations. Multivariate regression analysis revealed that upregulated diabetes-related markers levels were correlated with decreased SF-36 scores. Blood glucose, HOMA-IR, HbA1c, glycoalbumin, and plasma pentosidine levels were correlated with general health. Moreover, plasma pentosidine levels were correlated with role physical, social functioning, and role emotional in addition to general health. These results indicated that the levels of diabetes-related biomarkers, particularly the levels of plasma pentosidine, a glycation marker, were associated with QOL in our cohort.

Suggested Citation

  • Masaya Tsubokawa & Miyuki Nishimura & Koichi Murashita & Takuro Iwane & Yoshinori Tamada, 2022. "Correlation between Glycation-Related Biomarkers and Quality of Life in the General Japanese Population: The Iwaki Cross-Sectional Research Study," IJERPH, MDPI, vol. 19(15), pages 1-11, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9391-:d:877011
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/9391/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/15/9391/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dhfer Alshayban & Royes Joseph, 2020. "Health-related quality of life among patients with type 2 diabetes mellitus in Eastern Province, Saudi Arabia: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-12, January.
    2. Giulia Bassi & Elisa Mancinelli & Gaia Dell’Arciprete & Silvia Rizzi & Silvia Gabrielli & Silvia Salcuni, 2021. "Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(17), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    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. Halimatou Alaofè & Waliou Amoussa Hounkpatin & Francois Djrolo & John Ehiri & Cecilia Rosales, 2022. "Factors Associated with Quality of Life in Patients with Type 2 Diabetes of South Benin: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(4), pages 1-13, February.

    More about this item

    Keywords

    quality of life; diabetes; glycation; HbA1c; glycoalbumin; pentosidine;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:19:y:2022:i:15:p:9391-:d:877011. 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.