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Cancer Mortality State Mean Elevations and Other Selected Predictors

机译:癌症死亡率状态平均升高和其他选定的预测因子

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摘要

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.
机译:这项生态调查将美国的癌症死亡率与自然本底辐射的预测因子(通过土地升高手段)以及其他八种与癌症死亡率相关的预测因子进行了比较。将2006年按年龄调整的癌症死亡率与平均土地海拔,吸烟者百分比,受教育程度,没有医疗保险的人口百分比,收入,肥胖症,健康知觉,体育锻炼和饮食习惯的预测因素进行比较。在六个被认为适合多元线性回归的预测变量中,有三个具有统计学意义。从最强到最弱,这三个是:吸烟,土地升高和受教育程度。长期以来,吸烟和受教育程度的预测因素一直被认为与癌症死亡率有关。土地高程/自然本底辐射的预测因子与癌症死亡率成反比的发现是支持辐射兴奋性理论的另一证据。在这项研究中,海拔高度/自然本底辐射在癌症死亡率的预测强度上排名第二,仅次于吸烟和教育程度。由于这是一种生态查询,因此无法做出因果推断。

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