An approach to represent a combined exposure to air pollution

Objectives: The objective of this study was to present a technique for estimating the effect of ambient air pollution mix on health outcomes. Material and Methods: We created a technique of indexing air pollution mix as a cause of the increased odds of health problems. As an illustrative example, we...

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Main Author: Mieczyslaw Szyszkowicz
Format: Article
Language:English
Published: Nofer Institute of Occupational Medicine 2015-10-01
Series:International Journal of Occupational Medicine and Environmental Health
Subjects:
Online Access:http://ijomeh.eu/An-approach-to-represent-a-combined-exposure-to-air-pollution,58521,0,2.html
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author Mieczyslaw Szyszkowicz
author_facet Mieczyslaw Szyszkowicz
author_sort Mieczyslaw Szyszkowicz
collection DOAJ
description Objectives: The objective of this study was to present a technique for estimating the effect of ambient air pollution mix on health outcomes. Material and Methods: We created a technique of indexing air pollution mix as a cause of the increased odds of health problems. As an illustrative example, we analyzed the impact of pollution on the frequency of emergency department (ED) visits due to colitis among young patients (age < 15 years, N = 11 110). Our technique involves 2 steps. First, we considered 6 ambient air pollutants (carbon monoxide, nitrogen dioxide, sulphur dioxide, ozone, and 2 measures of particulate matter) treating each pollutant as a single exposure. Odds ratios (ORs) for ED visits associated with a standard increase (interquartile range – IQR) in the pollutants levels were calculated using the case-crossover technique. The ORs and their 95% confidence intervals (95% CIs) were also found for lagged exposures (for lags 1–9 days). Second, we defined a Health Air Study Index (HASI) to represent the combined impact of the 6 air pollutants. Results: We obtained positive and statistically significant results for individual air pollutants and among them the following estimations: OR = 1.06 (95% CI: 1.02–1.1, NO2 lag 3, IQR = 12.8 ppb), OR = 1.04 (95% CI: 1.01–1.07, SO2 lag 4, IQR = 2.3 ppb), OR = 1.04 (95% CI: 1–1.06, PM lag 3, IQR = 6.2 μg/m3). Among the re-calculated ORs with the HASI values as an exposure, the highest estimated value was OR = 1.37 (95% CI: 1.12–1.68, for 1 unit of the HASI, lag 3). Conclusions: The proposed index (HASI) allows to confirm the pattern of associations for lags obtained for individual air pollutants. In the presented example the used index (HASI) indicates the strongest relation with the exposure lagged by 3 days.
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spelling doaj.art-4c981e4a62304fd1b496949d27212f6c2022-12-22T03:24:25ZengNofer Institute of Occupational MedicineInternational Journal of Occupational Medicine and Environmental Health1232-10871896-494X2015-10-0128582383010.13075/ijomeh.1896.00380An approach to represent a combined exposure to air pollutionMieczyslaw SzyszkowiczObjectives: The objective of this study was to present a technique for estimating the effect of ambient air pollution mix on health outcomes. Material and Methods: We created a technique of indexing air pollution mix as a cause of the increased odds of health problems. As an illustrative example, we analyzed the impact of pollution on the frequency of emergency department (ED) visits due to colitis among young patients (age < 15 years, N = 11 110). Our technique involves 2 steps. First, we considered 6 ambient air pollutants (carbon monoxide, nitrogen dioxide, sulphur dioxide, ozone, and 2 measures of particulate matter) treating each pollutant as a single exposure. Odds ratios (ORs) for ED visits associated with a standard increase (interquartile range – IQR) in the pollutants levels were calculated using the case-crossover technique. The ORs and their 95% confidence intervals (95% CIs) were also found for lagged exposures (for lags 1–9 days). Second, we defined a Health Air Study Index (HASI) to represent the combined impact of the 6 air pollutants. Results: We obtained positive and statistically significant results for individual air pollutants and among them the following estimations: OR = 1.06 (95% CI: 1.02–1.1, NO2 lag 3, IQR = 12.8 ppb), OR = 1.04 (95% CI: 1.01–1.07, SO2 lag 4, IQR = 2.3 ppb), OR = 1.04 (95% CI: 1–1.06, PM lag 3, IQR = 6.2 μg/m3). Among the re-calculated ORs with the HASI values as an exposure, the highest estimated value was OR = 1.37 (95% CI: 1.12–1.68, for 1 unit of the HASI, lag 3). Conclusions: The proposed index (HASI) allows to confirm the pattern of associations for lags obtained for individual air pollutants. In the presented example the used index (HASI) indicates the strongest relation with the exposure lagged by 3 days.http://ijomeh.eu/An-approach-to-represent-a-combined-exposure-to-air-pollution,58521,0,2.htmlambient air pollutioncase-crossoverodds ratioindexemergency department visitair pollution
spellingShingle Mieczyslaw Szyszkowicz
An approach to represent a combined exposure to air pollution
International Journal of Occupational Medicine and Environmental Health
ambient air pollution
case-crossover
odds ratio
index
emergency department visit
air pollution
title An approach to represent a combined exposure to air pollution
title_full An approach to represent a combined exposure to air pollution
title_fullStr An approach to represent a combined exposure to air pollution
title_full_unstemmed An approach to represent a combined exposure to air pollution
title_short An approach to represent a combined exposure to air pollution
title_sort approach to represent a combined exposure to air pollution
topic ambient air pollution
case-crossover
odds ratio
index
emergency department visit
air pollution
url http://ijomeh.eu/An-approach-to-represent-a-combined-exposure-to-air-pollution,58521,0,2.html
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