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John Hart, D.C. Research Article Accepted in Dose Response
Dr. John Hart’s manuscript entitled “Cancer Mortality in Six Lowest versus Six Highest Elevation Jurisdictions in the U.S.” is accepted for publication in the Dose-Response, a peer-reviewed scientific journal. Dr. Hart presented as a partial report of his findings, titled “Cancer Mortality Rates and Land Elevations in the Carolinas” at the 6th annual SC Upstate Research Symposium, and previously published an article “Mean Cancer Mortality Rates in Low versus High Elevation Counties in Texas.” He also presented a poster at the 2010 Dose Response Conference, the University of Massachusetts-Amherst in April 2010. Dr. Hart is assistant director of research at Sherman College of Chiropractic and curator of the Chiropractic Museum on campus.
The Abstract of the manuscript:
This ecological inquiry compares cancer mortality rates in the U.S. to the predictor of natural background radiation (via land elevation means) along with eight other predictors thought to be associated with cancer mortality. Age-adjusted cancer mortality in 2006 was compared to the predictors of mean land elevation, percent of smokers, educational attainment, percent of population without health insurance, income, obesity, health perception, physical activity, and diet. Among the six predictors considered appropriate for multiple linear regression, three were found to be statistically significant; from strongest to weakest, these three were: smoking, land elevation, and educational attainment. The predictors of smoking and educational attainment have long been considered associated with cancer mortality. The finding that the predictor of land elevation / natural background radiation is inversely related to cancer mortality is another piece of evidence supporting the theory of radiation hormesis. In this study, land elevation / natural background radiation ranked second in predictive strength regarding cancer mortality, behind smoking and ahead of educational attainment. Since this is an ecological inquiry, no causal inferences can be made.
The submitted paper can be read on the NCBI website.
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