IDEAS home Printed from https://ideas.repec.org/a/spr/eujoag/v21y2024i1d10.1007_s10433-024-00833-x.html
   My bibliography  Save this article

Lifestyle factors and incident multimorbidity related to chronic disease: a population-based cohort study

Author

Listed:
  • Yihui Du

    (Hangzhou Normal University
    University Medical Center Groningen, University of Groningen)

  • Geertruida H. Bock

    (University Medical Center Groningen, University of Groningen)

  • Judith M. Vonk

    (University Medical Center Groningen, University of Groningen)

  • An Thanh Pham

    (University Medical Center Groningen, University of Groningen)

  • M. Yldau Ende

    (Utrecht University)

  • Harold Snieder

    (University Medical Center Groningen, University of Groningen)

  • Nynke Smidt

    (University Medical Center Groningen, University of Groningen)

  • Paul F. M. Krabbe

    (University Medical Center Groningen, University of Groningen)

  • Behrooz Z. Alizadeh

    (University Medical Center Groningen, University of Groningen)

  • Gerton Lunter

    (University Medical Center Groningen, University of Groningen)

  • Eva Corpeleijn

    (University Medical Center Groningen, University of Groningen)

Abstract

Background: Multimorbidity is linked to poor quality of life, and increased healthcare costs, and multimorbidity risk is potentially mitigated by a healthy lifestyle. This study evaluated the individual and joint contributions of an extensive set of lifestyle factors to the development of multimorbidity. Methods: A prospective study of 133,719 adults (age 45.2 ± 12.9, range 18–93 years) from the Dutch Lifelines cohort assessed the influence of lifestyle factors on multimorbidity, defined as having at least two of four major chronic diseases, using Cox regression models and population attributable fractions (PAFs). Lifestyle-related factors included diet quality, physical activity, TV watching, substance use (alcohol, smoking), sleep (duration, medication), stress (acute, chronic) and social connectedness (social contacts, marital status). Results: Over a median follow-up of 3.4 years, 3687 (12.5%) of the 29,545 participants with a chronic disease at baseline developed multimorbidity, compared to 434 (0.4%) of the 104,174 without a chronic disease. Key lifestyle factors linked to multimorbidity included smoking, prolonged TV watching, and stress, with hazard ratios indicating a higher risk in both groups. Additionally, high alcohol consumption and inadequate sleep duration were found to increase multimorbidity risk specifically in those with a chronic disease. Lifestyle factors jointly accounted for 34.4% (PAF, 95%CI 28.8%–73.5%) (with baseline morbidity) and 55.6% (95%CI 17.2%–48.5%) (without) of multimorbidity cases, with smoking as the primary contributor. Conclusions: Lifestyle factors, particularly smoking, alcohol consumption, TV watching, stress, and sleep, significantly contribute to the development of multimorbidity. The study underscores the importance of targeted prevention in public health and healthcare settings to manage and prevent multimorbidity.

Suggested Citation

  • Yihui Du & Geertruida H. Bock & Judith M. Vonk & An Thanh Pham & M. Yldau Ende & Harold Snieder & Nynke Smidt & Paul F. M. Krabbe & Behrooz Z. Alizadeh & Gerton Lunter & Eva Corpeleijn, 2024. "Lifestyle factors and incident multimorbidity related to chronic disease: a population-based cohort study," European Journal of Ageing, Springer, vol. 21(1), pages 1-13, December.
  • Handle: RePEc:spr:eujoag:v:21:y:2024:i:1:d:10.1007_s10433-024-00833-x
    DOI: 10.1007/s10433-024-00833-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10433-024-00833-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10433-024-00833-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:eujoag:v:21:y:2024:i:1:d:10.1007_s10433-024-00833-x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.