IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6084-d817331.html
   My bibliography  Save this article

Using Patient Health Profile Evaluation for Predicting the Likelihood of Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study Using Latent Profile Analysis

Author

Listed:
  • Shang-Jyh Chiou

    (Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 112303, Taiwan)

  • Kuomeng Liao

    (Department of Endocrinology and Metabolism, Zhongxiao Branch, Taipei City Hospital, Taipei 115006, Taiwan)

  • Kuan-Chia Lin

    (Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei 112213, Taiwan)

  • Wender Lin

    (Department of Health Care Administration, Chang Jung Christian University, 1 Changda Rd., Gueiren District, Tainan City 711301, Taiwan)

Abstract

Background: To determine whether long-term self-management among patients with type 2 diabetes mellitus has the risk of developing complications. Methods: We conducted a survey of self-management behavior using diabetes self-management scales (DMSES-C and TSRQ-d) from November 2019 to May 2020 linked with biomarkers (glucose, lipid profile, blood pressure, and kidney function), and the varying measure values were transformed into normal rate proportions. We performed latent profile analysis (LPA) to categorize the patient into different patient health profiles using five classes (C1–C5), and we predicted the risk of retinopathy after adjusting for covariates. Results : The patients in C1, C2, and C4 had a higher likelihood of retinopathy events than those in C5, with odds ratios (ORs) of 1.655, 2.168, and 1.788, respectively ( p = 0.032). In addition, a longer duration of diabetes was correlated with an increased risk of retinopathy events as well as being elderly. Conclusions: Optimal biomarker health profiles and patients with strong motivation pertaining to their T2DM care yielded better outcomes. Health profiles portraying patient control of diabetes over the long term can categorize patients with T2DM into different behavior groups. Customizing diabetes care information into different health profiles raises awareness of control strategies for caregivers and patients.

Suggested Citation

  • Shang-Jyh Chiou & Kuomeng Liao & Kuan-Chia Lin & Wender Lin, 2022. "Using Patient Health Profile Evaluation for Predicting the Likelihood of Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study Using Latent Profile Analysis," IJERPH, MDPI, vol. 19(10), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6084-:d:817331
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6084/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/10/6084/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jason T. Newsom & Nathalie Huguet & Michael J. McCarthy & Pamela Ramage-Morin & Mark S. Kaplan & Julie Bernier & Bentson H. McFarland & Jillian Oderkirk, 2012. "Health Behavior Change Following Chronic Illness in Middle and Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 67(3), pages 279-288.
    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. Matthias Rabel & Filip Mess & Florian M. Karl & Sara Pedron & Lars Schwettmann & Annette Peters & Margit Heier & Michael Laxy, 2019. "Change in Physical Activity after Diagnosis of Diabetes or Hypertension: Results from an Observational Population-Based Cohort Study," IJERPH, MDPI, vol. 16(21), pages 1-12, November.
    2. Janet M. Boekhout & Brenda A. J. Berendsen & Denise A. Peels & Catherine A. W. Bolman & Lilian Lechner, 2018. "Evaluation of a Computer-Tailored Healthy Ageing Intervention to Promote Physical Activity among Single Older Adults with a Chronic Disease," IJERPH, MDPI, vol. 15(2), pages 1-15, February.
    3. Shervin Assari & James L. Smith & Marc A. Zimmerman & Mohsen Bazargan, 2019. "Cigarette Smoking among Economically Disadvantaged African-American Older Adults in South Los Angeles: Gender Differences," IJERPH, MDPI, vol. 16(7), pages 1-16, April.
    4. Gabriela Arantes Wagner & Maria Lucia Lebrão & Yeda Aparecida de Oliveira Duarte & Dirce Maria Trevisan Zanetta, 2014. "Alcohol Use among Older Adults: SABE Cohort Study, São Paulo, Brazil," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.

    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:10:p:6084-:d:817331. 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.