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A call for caution and transparency in the calculation of land use mix: Measurement bias in the estimation of associations between land use mix and physical activity

机译:呼吁谨慎和透明地计算土地使用组合:估算土地使用组合与体育活动之间的关联时的测量偏差

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There is evidence that land use mix based on the Shannon (1948) entropy formula may be misspecified in some studies. The aim of this study was to quantify the bias arising from this misspecification. Spatial coordinates were obtained from Statistics Canada for 9348 unique point locations. Five hundred-metre polygon-based network buffers were drawn around each coordinate (ArcGIS 10.1). Land use mix was calculated for each buffer using the true and misspecified land use mix formulas. Linear regression models were used to estimate the associations between a simulated dataset of daily steps and the true and misspecified measures. Misspecification of the land use mix formula resulted in a systematic underestimation of the true association by 26.4% (95% CI 25.8-27.0%). To minimize measurement bias in future studies, researchers are encouraged to use a constant definition of N in the denominator of the Shannon entropy formula.
机译:有证据表明,在某些研究中,基于Shannon(1948)熵公式的土地利用组合可能被错误指定。这项研究的目的是量化由这种错误指定引起的偏差。从加拿大统计局获得了9348个唯一点位置的空间坐标。在每个坐标周围绘制了五百米基于多边形的网络缓冲区(ArcGIS 10.1)。使用真实和错误指定的土地使用混合公式计算每个缓冲区的土地使用混合。线性回归模型用于估计模拟的日常步骤数据集与正确和错误指定的度量之间的关联。土地使用混合公式的错误指定导致对真实关联的系统性低估了26.4%(95%CI 25.8-27.0%)。为了在将来的研究中最小化测量偏差,鼓励研究人员在Shannon熵公式的分母中使用N的恒定定义。

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