Assessing seasonality and the role of its potential drivers in environmental epidemiology: a tutorial.
Assessing seasonality and the role of its potential drivers in environmental epidemiology: a tutorial.
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DOI：
10.1093/ije/dyac115
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发表时间：
2022-10-13
影响因子：
7.7
通讯作者：
中科院分区：
文献类型：
--
作者：
在流行病学研究中，有几种方法被用来评估健康结果的季节性。然而，很少有资料可用于研究的方法，调整环境或其他已知的季节性变化的因素之前和之后的季节性变化。这些调查将帮助我们了解这些因素在健康结果季节性变化中的作用，并进一步确定目前未知或无法测量的风险因素。本教程说明了一个统计程序，用于检查健康结果的季节性及其变化，通过评估和比较形状，时间和大小调整潜在的环境驱动因素后。我们推荐一个三步程序，每个步骤在调整前后进行比较：（i）检查拟合的季节性曲线，以确定季节性的大致形状;（ii）确定季节性的峰值和谷值，以确定季节性的时间;（iii）估计峰谷比和可归因分数，以衡量季节性的大小。报告这些特征在调整潜在驱动因素时的变化，可以让读者了解它们在季节性中的作用以及任何剩余季节性模式的性质。此外，拟议的方法可以扩展到其他健康成果和环境驱动因素。
Several methods have been used to assess the seasonality of health outcomes in epidemiological studies. However, little information is available on the methods to study the changes in seasonality before and after adjusting for environmental or other known seasonally varying factors. Such investigations will help us understand the role of these factors in seasonal variation in health outcomes and further identify currently unknown or unmeasured risk factors. This tutorial illustrates a statistical procedure for examining the seasonality of health outcomes and their changes, after adjusting for potential environmental drivers by assessing and comparing shape, timings and size. We recommend a three-step procedure, each carried out and compared before and after adjustment: (i) inspecting the fitted seasonal curve to determine the broad shape of seasonality; (ii) identifying the peak and trough of seasonality to determine the timings of seasonality; and (iii) estimating the peak-to-trough ratio and attributable fraction to measure the size of seasonality. Reporting changes in these features on adjusting for potential drivers allows readers to understand their role in seasonality and the nature of any residual seasonal pattern. Furthermore, the proposed approach can be extended to other health outcomes and environmental drivers.
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影响因子：
4.8
作者：
Tobías A;Casals M;Saez M;Kamada M;Kim Y
通讯作者：
Kim Y
DOI：
10.1016/s0140-6736(14)62114-0
发表时间：
2015-07-25
期刊：
Lancet (London, England)
影响因子：
--
作者：
Gasparrini A;Guo Y;Hashizume M;Lavigne E;Zanobetti A;Schwartz J;Tobias A;Tong S;Rocklöv J;Forsberg B;Leone M;De Sario M;Bell ML;Guo YL;Wu CF;Kan H;Yi SM;de Sousa Zanotti Stagliorio Coelho M;Saldiva PH;Honda Y;Kim H;Armstrong B
通讯作者：
Armstrong B
DOI：
10.1097/ede.0000000000000567
发表时间：
2017-01
期刊：
Epidemiology (Cambridge, Mass.)
影响因子：
--
作者：
Tobías A;Armstrong B;Gasparrini A
通讯作者：
Gasparrini A
影响因子：
7.7
作者：
Bhaskaran K;Gasparrini A;Hajat S;Smeeth L;Armstrong B
通讯作者：
Armstrong B
影响因子：
8.3
作者：
Imai, Chisato;Armstrong, Ben;Hashizume, Masahiro
通讯作者：
Hashizume, Masahiro