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Salivary spinability and periodontal disease progression in an elderly population
Authors:Hirotomi T  Yoshihara A  Ogawa H  Ito K  Igarashi A  Miyazaki H
Affiliation:Division of Preventive Dentistry, Department of Oral Health Science, Graduate School of Medical and Dental Sciences, Niigata University, 2-5274 Gakkocho-dori, Niigata City 951-8514, Japan.
Abstract:OBJECTIVE: To explore the relationship between the spinability of stimulated whole saliva and periodontal disease progression over 12 months in an elderly population. METHODS: Three hundred and thirty-two subjects aged 76 years at baseline were studied. Attachment loss was calculated on a site-by-site basis, and periodontal disease progression was defined as an attachment loss of >/=3mm. Stimulated whole saliva was collected and salivary spinability (SS) was measured. A multiple linear regression analysis was performed to assess the relationship between periodontal disease progression and SS after controlling for other covariates. The independent variables were selected from those which had significant relationships with disease progression in the bivariate analyses. RESULTS: Mean SS was 1.94+/-0.42mm in males and 1.88+/-0.32mm in females; this difference was not significant. Simple linear regression analysis showed a significant positive relationship between periodontal disease progression and SS (P=0.026), whereas there was no significant relationship between periodontal disease progression and salivary flow rate. Multiple regression analysis revealed a significant positive relationship between periodontal disease progression and SS (P=0.024) after controlling for the number of remaining teeth and baseline periodontal conditions. The model explained 15.5% of the variance in the percentage of sites where the disease had progressed. CONCLUSIONS: These findings suggest that elderly subjects with viscous saliva are prone to periodontal disease progression.
Keywords:Salivary spinability   Stimulated saliva   Periodontal disease progression   Elderly people   Epidemiology
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