Model 4a considers both the types and number of stressors. In this model, the variable for each stressor provides information about the unique association of that stressor with SRH, independent of the other stressors and the number of stressors experienced. The indicator variables for the number of stressors represent the added burden of each additional stressor, independent of the type of stressor experienced. Financial, relationship, lifetime discrimination, neighborhood, and employment stressors maintained significant associations with poor SRH. The coefficients for these stressors can be interpreted as the increase in poor SRH for individuals who scored high only on that particular stressor, and no other stressor, compared to individuals who did not score high on any stressors. The coefficient estimates for the number of stressors were substantially attenuated and no longer associated with poor SRH once the types of stressors were accounted for. This model provides unique insight into the association between stressors and poor SRH. First, it demonstrates that several specific stressors maintained significant associations with poor SRH, after statistical adjustment for the clustering of the stressors. Second, it revealed no added effect of the cumulative number of stressors, once types of stress were accounted for.