This study analyzed national health data from 16,973 Indonesians to identify predictors of tooth loss in middle-aged and elderly populations. Tooth loss was strongly associated with age, occupation, diabetes, and heart disease. The model showed high predictive accuracy, indicating these factors can effectively predict tooth loss risk for prevention efforts.
Read full paper : https://doi.org/10.2174/0118742106351915241226114458
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