Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts

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Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts. / Wolf, Kathrin; Rodopoulou, Sophia; Chen, Jie; Andersen, Zorana J; Atkinson, Richard W; Bauwelinck, Mariska; Janssen, NicoleA H; Kristoffersen, Doris Tove; Lim, Youn-Hee; Oftedal, Bente; Strak, Maciek; Vienneau, Danielle; Zhang, Jiawei; Brunekreef, Bert; Hoek, Gerard; Stafoggia, Massimo; Samoli, Evangelia.

I: Environmental Pollution, Bind 327, 121515, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wolf, K, Rodopoulou, S, Chen, J, Andersen, ZJ, Atkinson, RW, Bauwelinck, M, Janssen, NH, Kristoffersen, DT, Lim, Y-H, Oftedal, B, Strak, M, Vienneau, D, Zhang, J, Brunekreef, B, Hoek, G, Stafoggia, M & Samoli, E 2023, 'Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts', Environmental Pollution, bind 327, 121515. https://doi.org/10.1016/j.envpol.2023.121515

APA

Wolf, K., Rodopoulou, S., Chen, J., Andersen, Z. J., Atkinson, R. W., Bauwelinck, M., Janssen, N. H., Kristoffersen, D. T., Lim, Y-H., Oftedal, B., Strak, M., Vienneau, D., Zhang, J., Brunekreef, B., Hoek, G., Stafoggia, M., & Samoli, E. (2023). Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts. Environmental Pollution, 327, [121515]. https://doi.org/10.1016/j.envpol.2023.121515

Vancouver

Wolf K, Rodopoulou S, Chen J, Andersen ZJ, Atkinson RW, Bauwelinck M o.a. Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts. Environmental Pollution. 2023;327. 121515. https://doi.org/10.1016/j.envpol.2023.121515

Author

Wolf, Kathrin ; Rodopoulou, Sophia ; Chen, Jie ; Andersen, Zorana J ; Atkinson, Richard W ; Bauwelinck, Mariska ; Janssen, NicoleA H ; Kristoffersen, Doris Tove ; Lim, Youn-Hee ; Oftedal, Bente ; Strak, Maciek ; Vienneau, Danielle ; Zhang, Jiawei ; Brunekreef, Bert ; Hoek, Gerard ; Stafoggia, Massimo ; Samoli, Evangelia. / Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts. I: Environmental Pollution. 2023 ; Bind 327.

Bibtex

@article{794b2d68ca38460da7af56aa6b13ee31,
title = "Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts",
abstract = "Most studies investigating the health effects of long-term exposure to air pollution used traditional regression models, although causal inference approaches have been proposed as alternative. However, few studies have applied causal models and comparisons with traditional methods are sparse. We therefore compared the associations between natural-cause mortality and exposure to fine particulate matter (PM 2.5) and nitrogen dioxide (NO 2) using traditional Cox and causal models in a large multicenter cohort setting. We analyzed data from eight well-characterized cohorts (pooled cohort) and seven administrative cohorts from eleven European countries. Annual mean PM 2.5 and NO 2 from Europe-wide models were assigned to baseline residential addresses and dichotomized at selected cut-off values (PM 2.5: 10, 12, 15 μg/m³; NO 2: 20, 40 μg/m³). For each pollutant, we estimated the propensity score as the conditional likelihood of exposure given available covariates, and derived corresponding inverse-probability weights (IPW). We applied Cox proportional hazards models i) adjusting for all covariates ({"}traditional Cox{"}) and ii) weighting by IPW ({"}causal model{"}). Of 325,367 and 28,063,809 participants in the pooled and administrative cohorts, 47,131 and 3,580,264 died from natural causes, respectively. For PM 2.5 above vs. below 12 μg/m³, the hazard ratios (HRs) of natural-cause mortality were 1.17 (95% CI 1.13-1.21) and 1.15 (1.11-1.19) for the traditional and causal models in the pooled cohort, and 1.03 (1.01-1.06) and 1.02 (0.97-1.09) in the administrative cohorts. For NO 2 above vs below 20 μg/m³, the HRs were 1.12 (1.09-1.14) and 1.07 (1.05-1.09) for the pooled and 1.06 (95% CI 1.03-1.08) and 1.05 (1.02-1.07) for the administrative cohorts. In conclusion, we observed mostly consistent associations between long-term air pollution exposure and natural-cause mortality with both approaches, though estimates partly differed in individual cohorts with no systematic pattern. The application of multiple modelling methods might help to improve causal inference. 299 of 300 words. ",
author = "Kathrin Wolf and Sophia Rodopoulou and Jie Chen and Andersen, {Zorana J} and Atkinson, {Richard W} and Mariska Bauwelinck and Janssen, {NicoleA H} and Kristoffersen, {Doris Tove} and Youn-Hee Lim and Bente Oftedal and Maciek Strak and Danielle Vienneau and Jiawei Zhang and Bert Brunekreef and Gerard Hoek and Massimo Stafoggia and Evangelia Samoli",
note = "Copyright {\textcopyright} 2023. Published by Elsevier Ltd.",
year = "2023",
doi = "10.1016/j.envpol.2023.121515",
language = "English",
volume = "327",
journal = "Environmental Pollution",
issn = "0269-7491",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Comparison of traditional cox regression and causal modeling to investigate the association between long-term air pollution exposure and natural-cause mortality within European cohorts

AU - Wolf, Kathrin

AU - Rodopoulou, Sophia

AU - Chen, Jie

AU - Andersen, Zorana J

AU - Atkinson, Richard W

AU - Bauwelinck, Mariska

AU - Janssen, NicoleA H

AU - Kristoffersen, Doris Tove

AU - Lim, Youn-Hee

AU - Oftedal, Bente

AU - Strak, Maciek

AU - Vienneau, Danielle

AU - Zhang, Jiawei

AU - Brunekreef, Bert

AU - Hoek, Gerard

AU - Stafoggia, Massimo

AU - Samoli, Evangelia

N1 - Copyright © 2023. Published by Elsevier Ltd.

PY - 2023

Y1 - 2023

N2 - Most studies investigating the health effects of long-term exposure to air pollution used traditional regression models, although causal inference approaches have been proposed as alternative. However, few studies have applied causal models and comparisons with traditional methods are sparse. We therefore compared the associations between natural-cause mortality and exposure to fine particulate matter (PM 2.5) and nitrogen dioxide (NO 2) using traditional Cox and causal models in a large multicenter cohort setting. We analyzed data from eight well-characterized cohorts (pooled cohort) and seven administrative cohorts from eleven European countries. Annual mean PM 2.5 and NO 2 from Europe-wide models were assigned to baseline residential addresses and dichotomized at selected cut-off values (PM 2.5: 10, 12, 15 μg/m³; NO 2: 20, 40 μg/m³). For each pollutant, we estimated the propensity score as the conditional likelihood of exposure given available covariates, and derived corresponding inverse-probability weights (IPW). We applied Cox proportional hazards models i) adjusting for all covariates ("traditional Cox") and ii) weighting by IPW ("causal model"). Of 325,367 and 28,063,809 participants in the pooled and administrative cohorts, 47,131 and 3,580,264 died from natural causes, respectively. For PM 2.5 above vs. below 12 μg/m³, the hazard ratios (HRs) of natural-cause mortality were 1.17 (95% CI 1.13-1.21) and 1.15 (1.11-1.19) for the traditional and causal models in the pooled cohort, and 1.03 (1.01-1.06) and 1.02 (0.97-1.09) in the administrative cohorts. For NO 2 above vs below 20 μg/m³, the HRs were 1.12 (1.09-1.14) and 1.07 (1.05-1.09) for the pooled and 1.06 (95% CI 1.03-1.08) and 1.05 (1.02-1.07) for the administrative cohorts. In conclusion, we observed mostly consistent associations between long-term air pollution exposure and natural-cause mortality with both approaches, though estimates partly differed in individual cohorts with no systematic pattern. The application of multiple modelling methods might help to improve causal inference. 299 of 300 words.

AB - Most studies investigating the health effects of long-term exposure to air pollution used traditional regression models, although causal inference approaches have been proposed as alternative. However, few studies have applied causal models and comparisons with traditional methods are sparse. We therefore compared the associations between natural-cause mortality and exposure to fine particulate matter (PM 2.5) and nitrogen dioxide (NO 2) using traditional Cox and causal models in a large multicenter cohort setting. We analyzed data from eight well-characterized cohorts (pooled cohort) and seven administrative cohorts from eleven European countries. Annual mean PM 2.5 and NO 2 from Europe-wide models were assigned to baseline residential addresses and dichotomized at selected cut-off values (PM 2.5: 10, 12, 15 μg/m³; NO 2: 20, 40 μg/m³). For each pollutant, we estimated the propensity score as the conditional likelihood of exposure given available covariates, and derived corresponding inverse-probability weights (IPW). We applied Cox proportional hazards models i) adjusting for all covariates ("traditional Cox") and ii) weighting by IPW ("causal model"). Of 325,367 and 28,063,809 participants in the pooled and administrative cohorts, 47,131 and 3,580,264 died from natural causes, respectively. For PM 2.5 above vs. below 12 μg/m³, the hazard ratios (HRs) of natural-cause mortality were 1.17 (95% CI 1.13-1.21) and 1.15 (1.11-1.19) for the traditional and causal models in the pooled cohort, and 1.03 (1.01-1.06) and 1.02 (0.97-1.09) in the administrative cohorts. For NO 2 above vs below 20 μg/m³, the HRs were 1.12 (1.09-1.14) and 1.07 (1.05-1.09) for the pooled and 1.06 (95% CI 1.03-1.08) and 1.05 (1.02-1.07) for the administrative cohorts. In conclusion, we observed mostly consistent associations between long-term air pollution exposure and natural-cause mortality with both approaches, though estimates partly differed in individual cohorts with no systematic pattern. The application of multiple modelling methods might help to improve causal inference. 299 of 300 words.

U2 - 10.1016/j.envpol.2023.121515

DO - 10.1016/j.envpol.2023.121515

M3 - Journal article

C2 - 36967008

VL - 327

JO - Environmental Pollution

JF - Environmental Pollution

SN - 0269-7491

M1 - 121515

ER -

ID: 340680687