General linear models will be used to calculate the beta-coefficient and 95 percent confidence intervals for the intervention for each of the two body regions. The mean pre-intervention pain score will be forced into all models to reduce regression to the mean. The other possible covariates (e.g., gender, age, occupation, hours per week of scaling, psychosocial factors, etc.) will each be examined, one at a time, in multivariate models which include the pre-intervention pain score. They will be included in the final models only if they are modestly (p<0.2) related to both the dependent variable (e.g., pain score change) and intervention group. The investigators expect effective randomization so it is likely that few potential covariates will be included in the final model. The potential problem with the unequal gender distribution between occupational groups will be addressed by also testing the effect of a new single variable with 4 categories (male dentists, female dentists, male hygienists, female hygienists) on the model. The analysis of the hand function data will be similar to the analysis of pain.