Two year incidence of tooth loss among South Australians aged 60+ years
Date
1997
Authors
Slade, G.
Gansky, S.
Spencer, A.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Community Dentistry and Oral Epidemiology, 1997; 25(6):429-437
Statement of Responsibility
Conference Name
Abstract
<h4>Unlabelled</h4>Tooth loss diminishes oral function and quality of life, and national health targets aim to reduce population levels of tooth loss.<h4>Objectives</h4>The purpose of this study was to determine tooth loss incidence and predictors of tooth loss among older adults in South Australia.<h4>Methods</h4>Data were obtained from a cohort study of a stratified random sample of community-dwelling dentate people aged 60+ years. Interviews and oral examinations were conducted among 911 individuals at baseline and among 693 of them (76.1%) 2 years later. Incidence rates and relative risks were calculated for population subgroups and multivariate logistic regression was used to construct risk prediction models. A method was developed to calculate 95% confidence intervals (95% CI) for relative risks (RR) from logistic regression models using a Taylor series approximation.<h4>Results</h4>Some 19.5% (95% CI = 15.4-23.6%) of people lost one or more teeth during the 2 years. Men, people with a recent extraction, people who brushed their teeth infrequently, smokers and people born outside Australia had significantly (P < 0.05) greater risk of tooth loss. Baseline clinical predictors of tooth loss included more missing teeth, retained roots, decayed root surfaces, periodontal pockets and periodontal recession. In a multivariate model that controlled for baseline clinical predictors, former smokers (RR = 2.55, 95% CI = 1.48-4.40) and current smokers (RR = 2.06, 95% CI = 0.92-4.62) had similarly elevated risks of tooth loss compared with non-smokers.<h4>Conclusions</h4>The findings from this population suggest that a history of smoking contributes to tooth loss through mechanisms in addition to clinical disease processes alone.