The overall logistic regression, although correcting standards errors for the complex structure of two-stage sampling, still made it necessary to perform separate regressions within urban areas to demonstrate contextual effects. The multilevel model permitted analysis of the interaction of macro effects and micro effects in the same model. The three significant micro-macro interactions, which might otherwise not have been found, were the impact of a social context characterized by social inequity upon the relationships of gender (being female), individual life chance (education), and life choice (physical activities) with health-related quality of life.