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Exposure Opportunity: The Advantages of Including Men in Analyses of Female-Related Risk Factors

机译:曝光机会:在与女性相关的风险因素分析的情况下包括男性的优势

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摘要

Intuitively, researchers do not include subjects who do not have the opportunity to be exposed, such as men in studies on oral contraceptives (OCs). We aimed to explore in which situations it is nevertheless beneficial to do so. We considered the effect of including men in case-control analyses of 8 different hypothetical data sets on the effect of OC use and venous thrombosis. In all scenarios, OC use was the exposure of interest, sex the factor that determined exposure opportunity, and air travel another risk factor. In some of these scenarios, sex and air travel were included as confounders or effect modifiers. Logistic regression was used to estimate odds ratios. Standard errors of the estimated log odds ratios, including and excluding men, were compared. We also studied the effect of including men using data from 1999-2004 from a case-control study on risk factors for venous thrombosis, conducted in the Netherlands. In all hypothetical examples, and in the real-data study, addition of men to the analysis yielded the same odds ratios when correctly adjusting for confounding. Moreover, use of additional subjects often led to more precise estimates. We suggest that subjects who do not have the opportunity to be exposed should not routinely be excluded from epidemiologic studies.
机译:直观地,研究人员不包括没有机会暴露的科目,例如男性在口腔避孕药(OCS)中的研究。我们旨在探索哪种情况,这是有益的。我们考虑了包括男性在病例对照分析8种不同假设数据集的效果,以对OC使用和静脉血栓形成的影响。在所有场景中,OC使用是曝光的曝光,性别确定了曝光机会的因素,以及空中旅行的另一个危险因素。在这些情景中的一些情况下,包括混血仪或效果修饰符。 Logistic回归用于估计差异比率。比较了估计的日志赔率比的标准误差,包括和排除男性。我们还研究了在荷兰进行的静脉血栓形成危险因素的案例对照研究中使用1999-2004的数据的效果。在所有假设的例子中,并且在真实数据研究中,在正确调整混淆时,在分析中添加了男性的不同程度比。此外,使用额外的受试者通常导致更精确的估计。我们建议,不常规被排除在流行病学研究中不应违反机会的主题。

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