Four‐year incidence and predictors of coronal caries in south Brazilian elderly

To determine the incidence and predictors of coronal caries among community-dwelling elderly in a southern Brazilian city. A cohort study was conducted using a simple random sample of persons aged 60 years or older in Carlos Barbosa city, southern Brazil. Interviews and oral examinations were conducted among 388 dentate individuals at baseline and among 273 at 4-year follow-up. The incidence of coronal caries was modeled by means of negative binomial regression. Some 184 (76.7%) participants presented with new coronal caries lesions or restorations, whose mean number was 2.2 ± 2.1, whereas the 4-year mean coronal caries incidence rate was 0.28 ± 0.29. In the multivariate model that controlled for baseline predictors, older age, male gender, living in a rural area, current smoking, and negative self-perception of oral health were associated with coronal caries incidence. Among clinical variables, the use of partial dentures was a predictor, whereas higher saliva flow rate was a protective factor for the outcome. Demographic factors, primary determinants of health, behavioral, and clinical variables were predictors of the incidence of coronal caries. As people enter old age, even stronger emphasis should be put on preventive strategies..

Medienart:

Artikel

Erscheinungsjahr:

2015

Erschienen:

2015

Enthalten in:

Zur Gesamtaufnahme - volume:43

Enthalten in:

Community dentistry and oral epidemiology - 43(2015), 5, Seite 452-460

Sprache:

Englisch

Beteiligte Personen:

De Marchi, Renato José [VerfasserIn]
dos Santos, Camila Mello [Sonstige Person]
Martins, Aline Blaya [Sonstige Person]
Hugo, Fernando Neves [Sonstige Person]
Hilgert, Juliana Balbinot [Sonstige Person]
Padilha, Dalva Maria [Sonstige Person]

Links:

Volltext
onlinelibrary.wiley.com
www.ncbi.nlm.nih.gov
search.proquest.com

BKL:

44.00

Themen:

Aged
Analysis
Caries
Coronal
Demographics
Dental care
Dental caries
Epidemiology
Geriatrics
Medical policy
Older people
Public health policy
Risk prediction

doi:

10.1111/cdoe.12170

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC1965563856