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首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Pesticide Use and Lung Cancer Risk in the Korea National Cancer Center Community- Based Cohort Study: A Propensity Score Matching Analysis
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Pesticide Use and Lung Cancer Risk in the Korea National Cancer Center Community- Based Cohort Study: A Propensity Score Matching Analysis

机译：韩国国家癌症中心社区队列研究中的农药使用和肺癌风险：倾向得分匹配分析

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Background: Pesticide use is associated with lung cancer, but the situation regarding lung cancer has not been clearly defined. We proposed a propensity score matching (PSM) analysis to evaluate relationship between pesticides use and risk of lung cancer in the Korea National Cancer Center community-based Cohort Study (KNCCCS). Methods: We evaluated use of pesticide and lung cancer cases in the KNCCCS, a prospective cohort study comprising 16,304 study participants from South Korea. Information about pesticide use and other factors was collected at enrollment (1993-2010). We compared four propensity-score-based approaches to confounding adjustment: matching, stratification, inverse probability treatment weighting (IPTW), and use of PS as a covariate. The differences in the baseline characteristics according to pesticide use were summarized using absolute standardized differences. Results: The hazard ratios between pesticide use and lung cancer varied from 3.04 (multiple model without PSM) to 5.40 (Stratification by 5 strata on the PSM). With all PSM methods, regression model adjusted as a continuous term with propensity score yielded estimated hazard ratios ranging from a low of 3.05 (95% CI: 1.27, 7.32) when IPTW was included to a high of 4.53 (95% CI: 2.61, 7.89). Results varied slightly by method, but direction and statistical significance remained the same. Conclusions: Our findings has strengthen the provide evidence for an association between pesticide use and lung cancer risk. Acknowledgements: This study has been financially supported by the National Cancer Center of Korea (grant numbers: NCC-1610650-1).
机译：背景：农药的使用与肺癌有关，但是关于肺癌的情况尚未明确定义。我们在韩国国家癌症中心基于社区的队列研究（KNCCCS）中提出了一种倾向得分匹配（PSM）分析，以评估农药使用与肺癌风险之间的关系。方法：我们在KNCCCS中评估了农药和肺癌病例的使用，这是一项前瞻性队列研究，包括来自韩国的16,304名研究参与者。在注册时（1993-2010年）收集了有关农药使用和其他因素的信息。我们比较了四种基于倾向得分的方法来混淆调整：匹配，分层，逆概率治疗权重（IPTW）和PS作为协变量的使用。使用绝对标准化差异总结了根据农药使用情况引起的基线特征差异。结果：农药使用与肺癌之间的危险比从3.04（无PSM的多种模型）到5.40（在PSM上按5个层次分层）。对于所有PSM方法，将回归模型作为具有倾向得分的连续项进行调整，得出的估计危险比范围从IPTW包括的低值3.05（95％CI：1.27，7.32）到最高的4.53（95％CI：2.61）， 7.89）。结果因方法而略有不同，但方向和统计学意义保持不变。结论：我们的发现为农药使用与肺癌风险之间的关联提供了强有力的证据。致谢：该研究得到了韩国国家癌症中心的资助（授权号：NCC-1610650-1）。

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