It is widely accepted that smoking prevalence and poverty predict the occurrence of lung cancer mortality. The question asked in the study was: What are the important factors for counties that are useful to public health professionals? We sought to provide an answer, using a recursive partitioning approach applied to county-level indicators.
Classification and regression tree analysis is relatively unexplored for its utility in public health. Using available ecologic data, county lung cancer mortality was modeled by several predictor variables from a larger set of candidates. We constructed a tree on the basis of statistical software, R.
Seven groupings were defined. Not surprisingly, smoking prevalence was a major determiner of tree nodes, as were prior coronary heart disease mortality, poverty, and National Air Toxics Assessment excess cancer deaths estimates. Lung cancer mortality groupings ranged from 47 per 100000 in the best 2 groupings (leaves) to 85 per 100000 in the worst grouping of 52 local jurisdictions.
Ecologic data portrayed in a classification and regression tree have utility for spurring etiologic investigation, tracking county outcomes, developing policy at any governmental level, and guiding program design and management. Community by community, improvements are not yet at Healthy People 2010 targets. Individual communities may benefit through efforts to focus attention on aspects such as smoking levels, poverty, air quality, or region, highlighted by this analysis.
Norma Kanarek, PhD, MPH, is Associate Professor, Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Brian Fitzek, BA, is Research Associate and Communications Coordinator, Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Shu-Chih Su, PhD, email@example.com
Melissa Brower, MPH, is Research Coordinator, The New York Center for Agricultural Medicine and Health, Bassett Healthcare, One Atwell Road, Cooperstown, New York.
Haomiao Jia, PhD, is Assistant Professor, Department of Biostatistics, Mailman School of Public Health and School of Nursing, Columbia University, New York.
Corresponding Author: Norma Kanarek, PhD, MPH, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (firstname.lastname@example.org).
Disclaimer: The authors have no conflicts of interest.
This research was carried out in part with funds from the Maryland Cigarette Restitution Fund Grant to the Johns Hopkins Medical Institutions. The authors thank Eric Stills for his efforts in preparation of the manuscript.