IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0192221.html
   My bibliography  Save this article

Prediction of loss to follow-up in long-term supportive periodontal therapy in patients with chronic periodontitis

Author

Listed:
  • Di Wu
  • Hai Jing Yang
  • Yan Zhang
  • Xiu E Li
  • Yu Rong Jia
  • Chun Mei Wang

Abstract

Aim: This study examined the predictors of loss to follow-up in long-term supportive periodontal therapy in patients with chronic periodontitis. Methods: A total of 280 patients with moderate to severe chronic periodontitis in a tertiary care hospital in China were investigated and followed over the course of study. Questionnaires on clinical and demographic characteristics, self-efficacy for oral self-care and dental fear at baseline were completed. Participants were followed to determine whether they could adhere to long-term supportive periodontal therapy. Binary logistic regression analysis was used to examine the association between clinical and demographic characteristics, self-efficacy for oral self-care, dental fear and loss to follow-up in long-term supportive periodontal therapy. Results: The loss to follow-up in long-term supportive periodontal therapy was significantly associated with age [adjusted OR = 1.042, 95% confidence interval (CI): 1.012–1.074, p = 0.006], severe periodontitis [adjusted OR = 4.892, 95%CI: 2.280–10.499, p

Suggested Citation

  • Di Wu & Hai Jing Yang & Yan Zhang & Xiu E Li & Yu Rong Jia & Chun Mei Wang, 2018. "Prediction of loss to follow-up in long-term supportive periodontal therapy in patients with chronic periodontitis," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-12, February.
  • Handle: RePEc:plo:pone00:0192221
    DOI: 10.1371/journal.pone.0192221
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0192221
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0192221&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0192221?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
    ---><---

    References listed on IDEAS

    as
    1. Xi Chen & Yu Zhang & Hai-Xia Lu & Xi-Ping Feng, 2016. "Factors Associated with Halitosis in White-Collar Employees in Shanghai, China," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-13, May.
    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.

      More about this item

      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:plo:pone00:0192221. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

      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.