Measurement error correction methods for the effects of ambient air pollution on mortality and morbidity using the UK Biobank cohort: the MELONS study

作者：Dimitris Evangelopoulos, D. L. Wood, Barbara K. Butland, Benjamin Barratt, Hanbin Zhang, Konstantina Dimakopoulou, Evangelia Samoli, Sean Beevers, Heather Walton, Joel Schwartz, Εvangelos Εvangelou, Klea Katsouyanni · 发表于：Environmental Research · 年份：2025 · DOI：10.1016/j.envres.2025.122237 · 被引用次数：5 · 研究领域：Air Quality and Health Impacts、Climate Change and Health Impacts、Energy and Environment Impacts

Epidemiological cohort studies associating long-term exposure to ambient air pollution with health outcomes most often do not account for individually assigned exposure measurement error. Here, we implemented Cox proportional hazards models to explore the relationships between NO 2 , PM 2.5 and ozone exposures with the incidence of natural-cause mortality and several morbidity outcomes in 61,797 London-dwelling respondents of the UK Biobank cohort. Data from an existing personal monitoring campaign was used as an external validation dataset to estimate measurement error structures between “true” personal exposure and several surrogate (measured and modelled) estimates of assigned exposure, allowing for the application of two health effect estimate correction methodologies: regression calibration (RCAL) and simulation extrapolation (SIMEX). Uncorrected hazard ratios (HRs) suggested an increase in the risk of natural-cause mortality for modelled NO 2 estimates (HR: 1.028 [0.983, 1.074] per IQR increment of 14.54 μg/m 3 ) and no statistically significant association was observed for PM 2.5 surrogate exposure measures. Measurement error corrected HRs were generally larger in magnitude, although exhibited wider confidence intervals than uncorrected effect estimates. Chronic obstructive pulmonary disease (COPD) was associated with increased exposure to modelled NO 2 (1.087 [1.022, 1.155]). Both RCAL and SIMEX correction resulted in increased HRs (1.254 [1.061, 1.482] and 1.192 [1.0...