No abstract

In the United States in 1997, the smoking prevalence among blue-collar workers was nearly double that among white-collar workers, underscoring the need for new approaches to reduce social disparities in tobacco use. These inequalities reflect larger structural forces that shape the social context of workers' lives. Drawing from a range of social and behavioral theories and lessons from social epidemiology, we articulate a social-contextual model for understanding ways in which socioeconomic position, particularly occupation, influences smoking patterns. We present applications of this model to worksite-based smoking cessation interventions among blue-collar workers and provide empirical support for this model. We also propose avenues for future research guided by this model.

The social-context model holds promise for reducing disparities in health behaviors. Further research is needed to improve the effectiveness of the intervention.

This paper examines the results of population-level interventions conducted in three settings: entire communities, worksites, and schools. Four major conclusions are discussed: (a) Directions for the next generation of community-based interventions include targeting multiple levels of influence; addressing social inequalities in disease risk; involving communities in program planning and implementation; incorporating approaches for "tailoring" interventions; and utilizing rigorous process evaluation. (b) In addition to randomized controlled trials, it is time to use the full range of research phases available, from hypothesis generation and methods development to dissemination research. (c) The public health research agenda may have contributed to observed secular trends by placing behavioral risk factors on the social and media agendas. (d ) The magnitude of the results of community intervention trials must be judged according to their potential public health or population-level effects. Small changes at the individual level may result in large benefits at the population level.