Differential mortality risks associated with PM2.5 components: a multi-country, multi-city study.

Masselot, Pierre; Sera, Francesco; Schneider, Rochelle; Kan, Haidong; Lavigne, Éric; Stafoggia, Massimo; Tobias, Aurelio; Chen, Hong; Burnett, Richard T; Schwartz, Joel; Zanobetti, Antonella; Bell, Michelle L; Chen, Bing-Yu; Leon Guo, Yue-Liang; Ragettli, Martina S; Vicedo-Cabrera, Ana Maria; Åström, Christofer; Forsberg, Bertil; Íñiguez, Carmen; Garland, Rebecca M; ... (2022). Differential mortality risks associated with PM2.5 components: a multi-country, multi-city study. Epidemiology, 33(2), pp. 167-175. Wolters Kluwer Health, Lippincott Williams & Wilkins 10.1097/EDE.0000000000001455

[img] Text
Masselot_Epidemiology_2021_AAM.pdf - Accepted Version
Restricted to registered users only until 8 December 2022.
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy
[img] Text
Masselot_Epidemiology_2022.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

BACKGROUND

The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality.

METHODS

We applied a two-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators.

RESULTS

We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95%CI: 1.0030-1.0097) to 1.0102 (95%CI:1.0070-1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95%CI: 1.0067-1.0133) to 1.0037 (95%CI: 0.9998- 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk.

CONCLUSIONS

These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Vicedo Cabrera, Ana Maria

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1044-3983

Publisher:

Wolters Kluwer Health, Lippincott Williams & Wilkins

Language:

English

Submitter:

Doris Kopp Heim

Date Deposited:

21 Dec 2021 18:53

Last Modified:

15 Feb 2022 10:34

Publisher DOI:

10.1097/EDE.0000000000001455

PubMed ID:

34907973

BORIS DOI:

10.48350/162932

URI:

https://boris.unibe.ch/id/eprint/162932

Actions (login required)

Edit item Edit item
Provide Feedback