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Dose-response curve of annoyance with adjustment for agebased on the standard population

机译:基于标准人群的年龄调整后烦恼的剂量反应曲线

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Some papers detected significant relationship between age and annoyance of noise. However, most of the reported dose-response curves were not adjusted for age. Comparisons of crudernresponse rates may be misleading if the age composition differs in the populations being compared.rnThis paper proposes a method to obtain a dose-response curve with adjustment for age based on thernWHO world standard population. A logistic function was applied as a dose-response curve since it hasrnsome advantages e.g. (1) the response curve ranges from 0 to 1 and (2) the accuracy of the curve canrnbe evaluated. Multiple logistic regression yields dose-response curves of all age groups at the samerntime. The age-adjusted curve was approximately derived by standardizing the logits of these curvesrnbased on the standard population. To simplify this method, a special coding of dummy variables was introduced into the logistic regression. The age-adjusted logistic function and its confidence interval can be obtained easily by using this coding. The proposed method was applied to a field study conducted along trunk roads. The dose-response curve showed a remarkable change after the adjustment for age. This result indicates that the reported dose-response curves could be confounded if they are not adjusted for age.
机译:一些论文发现年龄和噪音烦恼之间存在显着的关系。但是,大多数报告的剂量反应曲线均未根据年龄进行调整。如果在所比较的人群中年龄构成不同,则粗略反应率的比较可能会产生误导。本文提出了一种根据世界卫生组织世界标准人群来调整年龄的剂量-反应曲线的方法。将对数函数用作剂量-响应曲线,因为它具有一些优点,例如, (1)响应曲线的范围是0到1,并且(2)可以评估曲线的准确性。多元逻辑回归可同时得出所有年龄段的剂量反应曲线。通过基于标准人群对这些曲线的对数进行标准化,可以近似得出年龄调整后的曲线。为了简化此方法,将逻辑变量的特殊编码引入到逻辑回归中。通过使用该编码,可以容易地获得年龄调整后的逻辑函数及其置信区间。该方法被应用于沿主干道进行的田间研究。调整年龄后,剂量反应曲线显示出显着变化。该结果表明,如果不针对年龄进行调整,则可能会混淆所报告的剂量反应曲线。

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  • 会议地点 Prague(CZ);Prague(CZ)
  • 作者单位

    Department of Urban and Environmental Engineering, Kyoto University, Sakyo, Kyoto 606-8501, Japan t.matsui@health.env.kyoto-u.ac.jp;

    Department of Environmental Risk Management, Kibi International University, Takahashi, Okayama 716-8508, Japan miyakawa@kiui.ac.jp;

    Department of Urban and Environmental Engineering, Kyoto University,rnSakyo, Kyoto 606-8501, Japan murayama@health.env.kyoto-u.ac.jp;

    Department of Urban and Environmental Engineering, Kyoto University, Sakyo, Kyoto 606-8501, Japan iwao@health.env.kyoto-u.ac.jp;

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