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首页> 外文期刊>Advances in Epidemiology >Association between Obesity and Cancer: An Analysis Using the Competing Risk Regression Approach
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Association between Obesity and Cancer: An Analysis Using the Competing Risk Regression Approach

机译：肥胖与癌症之间的关联：使用竞争风险回归方法进行的分析

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Cox model has been the commonly used method in past analyses of association between obesity and the risk estimates of cancer in situations where the subjects have also died (or could die) of noncancer events (competing events). The Cox model does not address the presence of competing events convincingly. The competing risk approach accommodates the fact that individuals who died of other causes (competing events) will never die of cancer and thus provides more realistic estimates. This study uses the competing risk approach to study the association of obesity and cancer mortality and compare the analysis results with those based on the traditional Cox model. It was seen that while the cause-specific hazard rate of cancer is significantly higher for obese population compared to normal weight population, the difference is not significant using competing risk approach. We demonstrated that higher cause-specific hazard rate does not necessarily imply higher incidence rate and in situations involving competing events we recommend using competing risk approach in addition to the Cox regression model.
机译：在受试者也已经因非癌事件（竞争事件）死亡（或可能死亡）的情况下，肥胖与癌症风险估计之间的关联分析在过去的分析中通常使用Cox模型。 Cox模型无法令人信服地解决竞争事件的存在。竞争性风险分析法适应了以下事实：因其他原因（竞争事件）死亡的个人永远不会死于癌症，因此提供了更为现实的估计。这项研究使用竞争风险方法研究肥胖与癌症死亡率之间的关系，并将分析结果与基于传统Cox模型的分析结果进行比较。可以看出，与正常体重人群相比，肥胖人群的癌症特定致癌率明显更高，但使用竞争风险方法，差异并不显着。我们证明了更高的特定原因危害率并不一定意味着更高的发生率，在涉及竞争事件的情况下，我们建议除了Cox回归模型外，还使用竞争风险方法。

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