Although the number of missing teeth in Japanese adults is decreasing, persons aged ≥75 years tend to have at least 10 teeth missing, and approximately 30% have full dentures. 1 Tooth loss impacts mastication, speaking, swallowing, and esthetics. 2,3 Decreased masticatory ability due to tooth loss affects food intake, possibly leading to malnutrition. 4 Loss of multiple teeth is also associated with physical disability and cognitive decline, 5 and it can decrease the quality of life of elderly individuals.The average life span differs considerably from healthy life expectancy. Retention of as many teeth as possible can prevent or slow the decline in swallowing and masticatory function and extend healthy life expectancy. In a cohort study of Japanese people aged >75 years, individuals with few teeth at baseline subsequently had higher medical care costs related to stroke. 6 Therefore, the prevention of tooth loss could reduce medical care costs.The risk factors for tooth loss have been investigated extensively. 7-9 Lifestyle and social factors, such as household income, education level, and dental visits, are reportedly related to tooth loss among persons aged ≥65 years. 8 Molars and abutment teeth of prostheses are at greater risk of being lost by community-dwelling elderly people. 9 The risk factors for tooth loss in younger people should be determined to enable the retention of as many teeth as possible. The
AbstractAim: The assessment of the risk of tooth loss in patients visiting a dental clinic is important for managing their oral health. In the present study, we examined the risk factors for tooth loss among dental patients.
Methods: Data from the 8020 Promotion Foundation Study on the Health PromotionEffects of Dental Care were used in the present study. The study involved 2743 patients who visited a dental clinic in Japan and completed a questionnaire and oral health examination at baseline and at the 2-year follow up. Tooth-and person-level risk factors for tooth loss during 2 years were subjected to a multilevel multivariate logistic regression analysis.