Abstract

While studies on ambient fine particulate matter (PM2.5) exposure effect on child health are available, the differential effects, if any, of exposure to PM2.5 species are unexplored in lower and middle-income countries. Using multiple logistic regression, we showed that for every 10 μg m−3 increase in PM2.5 exposure, anaemia, acute respiratory infection, and low birth weight prevalence increase by 10% (95% uncertainty interval, UI: 9–11), 11% (8–13), and 5% (4–6), respectively, among children in India. NO3-, elemental carbon, and NH4+ were more associated with the three health outcomes than other PM2.5 species. We found that the total PM2.5 mass as a surrogate marker for air pollution exposure could substantially underestimate the true composite impact of different components of PM2.5. Our findings provide key indigenous evidence to prioritize control strategies for reducing exposure to more toxic species for greater child health benefits in India.

Health impact of air pollution is estimated using PM2.5 mass as exposure metric. Here authors show that the impacts on child health is underestimated in India using this metric relative to the cumulative impact of the various PM2.5 components.

Details

Title
Cumulative effect of PM2.5 components is larger than the effect of PM2.5 mass on child health in India
Author
Chaudhary, Ekta 1   VIAFID ORCID Logo  ; George, Franciosalgeo 2 ; Saji, Aswathi 2 ; Dey, Sagnik 3   VIAFID ORCID Logo  ; Ghosh, Santu 4   VIAFID ORCID Logo  ; Thomas, Tinku 4   VIAFID ORCID Logo  ; Kurpad, Anura. V. 5   VIAFID ORCID Logo  ; Sharma, Sumit 6 ; Singh, Nimish 7   VIAFID ORCID Logo  ; Agarwal, Shivang 8 ; Mehta, Unnati 9 

 Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India (GRID:grid.417967.a) (ISNI:0000 0004 0558 8755) 
 St John’s Research Institute, Division of Epidemiology, Biostatistics, and Population Health, Bangalore, India (GRID:grid.418280.7) (ISNI:0000 0004 1794 3160) 
 Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India (GRID:grid.417967.a) (ISNI:0000 0004 0558 8755); IIT Delhi, Centre of Excellence for Research on Clean Air, New Delhi, India (GRID:grid.417967.a) (ISNI:0000 0004 0558 8755); IIT Delhi, School of Public Policy, New Delhi, India (GRID:grid.417967.a) (ISNI:0000 0004 0558 8755) 
 St John’s Medical College, Department of Biostatistics, Bengaluru, India (GRID:grid.416432.6) (ISNI:0000 0004 1770 8558) 
 St John’s Medical College, Department of Physiology, Bengaluru, India (GRID:grid.416432.6) (ISNI:0000 0004 1770 8558) 
 TERI, New Delhi, India (GRID:grid.419867.5) (ISNI:0000 0001 0195 7806) 
 Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India (GRID:grid.417967.a) (ISNI:0000 0004 0558 8755); TERI, New Delhi, India (GRID:grid.419867.5) (ISNI:0000 0001 0195 7806) 
 TERI, New Delhi, India (GRID:grid.419867.5) (ISNI:0000 0001 0195 7806); Johns Hopkins University, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311) 
 Harvard T.H. Chan School of Public Health, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
Pages
6955
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2884497586
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.