Literature DB >> 22423228

Cancer mortality, state mean elevations, and other selected predictors.

John Hart1, Seunggeun Hyun.   

Abstract

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.

Entities:  

Keywords:  Radiation effects; background radiation; cancer; mortality

Year:  2010        PMID: 22423228      PMCID: PMC3299527          DOI: 10.2203/dose-response.10-010.Hart

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  17 in total

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Authors:  M K Nair; K S Nambi; N S Amma; P Gangadharan; P Jayalekshmi; S Jayadevan; V Cherian; K N Reghuram
Journal:  Radiat Res       Date:  1999-12       Impact factor: 2.841

2.  Associations between community income and cancer survival in Ontario, Canada, and the United States.

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Journal:  J Clin Oncol       Date:  1999-07       Impact factor: 44.544

3.  THE ENVIRONMENT AND DISEASE: ASSOCIATION OR CAUSATION?

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Journal:  Proc R Soc Med       Date:  1965-05

4.  Self-assessment of health status and mortality in middle-aged British men.

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Journal:  Int J Epidemiol       Date:  1991-03       Impact factor: 7.196

5.  Risk of cancer after low doses of ionising radiation: retrospective cohort study in 15 countries.

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Journal:  BMJ       Date:  2005-06-29

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Authors:  Kathleen McDavid; Thomas C Tucker; Andrew Sloggett; Michel P Coleman
Journal:  Arch Intern Med       Date:  2003-10-13

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Authors:  C R Weinberg; K G Brown; D G Hoel
Journal:  Radiat Res       Date:  1987-11       Impact factor: 2.841

Review 8.  Human exposure to high natural background radiation: what can it teach us about radiation risks?

Authors:  Jolyon H Hendry; Steven L Simon; Andrzej Wojcik; Mehdi Sohrabi; Werner Burkart; Elisabeth Cardis; Dominique Laurier; Margot Tirmarche; Isamu Hayata
Journal:  J Radiol Prot       Date:  2009-05-19       Impact factor: 1.394

9.  Update on linear non-threshold dose-response model and implications for diagnostic radiology procedures.

Authors:  R Julian Preston
Journal:  Health Phys       Date:  2008-11       Impact factor: 1.316

10.  Natural background radiation and cancer mortality in the Republic of Ireland.

Authors:  S P Allwright; P A Colgan; I R McAulay; E Mullins
Journal:  Int J Epidemiol       Date:  1983-12       Impact factor: 7.196

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  4 in total

1.  Land elevation and cancer mortality in u.s. Cities and counties using median elevations derived from geographic information systems.

Authors:  John Hart
Journal:  Dose Response       Date:  2011-10-25       Impact factor: 2.658

2.  Reduced Lung Cancer Mortality With Lower Atmospheric Pressure.

Authors:  Ray M Merrill; Aaron Frutos
Journal:  Dose Response       Date:  2018-04-16       Impact factor: 2.658

Review 3.  Health Impacts of Low-Dose Ionizing Radiation: Current Scientific Debates and Regulatory Issues.

Authors:  Alexander Vaiserman; Alexander Koliada; Oksana Zabuga; Yehoshua Socol
Journal:  Dose Response       Date:  2018-09-19       Impact factor: 2.658

Review 4.  Influence of Individual Radiosensitivity on the Hormesis Phenomenon: Toward a Mechanistic Explanation Based on the Nucleoshuttling of ATM Protein.

Authors:  Clément Devic; Mélanie L Ferlazzo; Elise Berthel; Nicolas Foray
Journal:  Dose Response       Date:  2020-05-08       Impact factor: 2.658

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