Objectives: 1. To determine the proportion of people reporting time loss from work, school, or normal activities due to oral health issues. 2. To determine how much time is being lost. 3. To establish predictors of this time loss. 4. To determine the productivity losses. Methods: Data from the Canadian Health Measures Survey (2007-2009) were used. Linear and logistic regressions were employed to determine which variables were predictive of hours lost and reporting time loss. Productivity losses were determined using the lost wages approach. Results: Time loss is more likely among privately insured, high income earners. Experiencing oral pain is the best predictor of reporting time loss. Productivity losses are comparable to those of some musculoskeletal conditions. Conclusions: Participants with higher incomes report time loss more frequently while the total amount of time lost is greatest for those with the lowest incomes. Productivity losses are substantial at the societal level.

Objectives: 1. To determine the proportion of people reporting time loss from work, school, or normal activities due to oral health issues. 2. To determine how much time is being lost. 3. To establish predictors of this time loss. 4. To determine the productivity losses. Methods: Data from the Canadian Health Measures Survey (2007-2009) were used. Linear and logistic regressions were employed to determine which variables were predictive of hours lost and reporting time loss. Productivity losses were determined using the lost wages approach. Results: Time loss is more likely among privately insured, high income earners. Experiencing oral pain is the best predictor of reporting time loss. Productivity losses are comparable to those of some musculoskeletal conditions. Conclusions: Participants with higher incomes report time loss more frequently while the total amount of time lost is greatest for those with the lowest incomes. Productivity losses are substantial at the societal level.