Show simple item record

dc.contributor.authorLeite, Fabio R.M.
dc.contributor.authorPeres, Karen G.
dc.contributor.authorDo, L.G.
dc.contributor.authorDemarco, Flᶩo F.
dc.contributor.authorPeres, Marco Aurélio
dc.date.accessioned2018-09-21T03:43:12Z
dc.date.available2018-09-21T03:43:12Z
dc.date.issued2017
dc.identifier.issn0022-3492
dc.identifier.doi10.1902/jop.2017.160607
dc.identifier.urihttp://hdl.handle.net/10072/380512
dc.description.abstractBackground: Prediction of periodontitis development is challenging. Use of oral health–related data alone, especially in a young population, might underestimate disease risk. This study investigates accuracy of oral, systemic, and socioeconomic data on estimating periodontitis development in a population‐based prospective cohort. Methods: General health history and sociodemographic information were collected throughout the life‐course of individuals. Oral examinations were performed at ages 24 and 31 years in the Pelotas 1982 birth cohort. Periodontitis at age 31 years according to six classifications was used as the gold standard to compute area under the receiver operating characteristic curve (AUC). Multivariable binomial regression models were used to evaluate the effects of oral health, general health, and socioeconomic characteristics on accuracy of periodontitis development prediction. Results: Complete data for 471 participants were used. Periodontitis classifications with lower thresholds yielded superior predictive power. Calculus, pocket, or bleeding presence at age 24 years separately presented fair accuracy. Accuracy increased using multivariable models; for example, the Beck et al. classification AUC from 0.59 to 0.75 combining proportion of teeth with calculus, bleeding, or pocket with income; number of lost teeth; sex; education; people living in the house; prosthetic needs; or number of decayed, missing, or filled teeth (DMFT). Proportion of teeth with pocket, bleeding, or calculus; number of DMFT; toothbrushing frequency; blood pressure; sex; and income were most frequently associated. Conclusions: Choice of classification might have an impact on accuracy to predict periodontitis occurrence. Regardless of the classification, predictive value for development of periodontitis in young adults might be increased by combining periodontal information, sociodemographic information, and general health history.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Academy of Periodontology
dc.relation.ispartofpagefrom731
dc.relation.ispartofpageto743
dc.relation.ispartofissue8
dc.relation.ispartofjournalJournal of Periodontology
dc.relation.ispartofvolume88
dc.subject.fieldofresearchDentistry not elsewhere classified
dc.subject.fieldofresearchDentistry
dc.subject.fieldofresearchcode110599
dc.subject.fieldofresearchcode1105
dc.titlePrediction of Periodontitis Occurrence: Influence of Classification and Sociodemographic and General Health Information
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorDe Anselmo Peres, Marco
gro.griffith.authorGlazer De Anselmo Peres, Karen


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record