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Health effects of selected environmental Exposomes Across the Life courSe in Indian populations using longitudinal cohort studies: GEOHealth HEALS Study protocol

Authors :
Viswanathan Mohan
Dorairaj Prabhakaran
Sonal Singh
Ruby Gupta
Dimple Kondal
Sailesh Mohan
Vipin Gupta
Gagandeep Kaur Walia
Tarun Gupta
Petter Ljungman
Suganthi Jaganathan
Joel D Schwartz
Chittaranjan Yajnik
Deepa Mohan
Poornima Prabhakaran
Siddhartha Mandal
Nancy Long Sieber
Jyothi S Menon
Prashant Rajput
Ajit Rajiva
Anubrati Dutta
Bhargav Krishna
Enakshi Ganguly
Kishore Madhipatla
Praggya Sharma
KS Reddy
Source :
BMJ Open, Vol 14, Iss 10 (2024)
Publication Year :
2024
Publisher :
BMJ Publishing Group, 2024.

Abstract

Introduction Air pollution presents a major public health threat to India, affecting more than three quarters of the country’s population. In the current project, GEOHealth Health Effects of Selected Environmental Exposomes Across the Life CourSe–India, we aim to study the effect of environmental exposomes—fine particulate matter (PM2.5), nitrogen dioxide (NO2), ozone (O3) and extremes of temperature—on multiple health outcomes using a modified life course approach. The associated training grant aims to build capacity in India to address the unique environmental health problems.Methods and analysis The project aims to (A) Develop exposure assessments in seven cities, namely Delhi, Chennai, Sonipat, Vizag, Pune, Hyderabad and Bikaner, for: (1) A fine-scale spatiotemporal model for multiple pollutants (PM2.5, NO2, O3, temperature); (2) Combined ground monitoring and modelling for major chemical species of ambient PM2.5 at seven cities; and (3) Personal exposure assessment in a subsample from the six cities, except Pune, and (B) Conduct health association studies covering a range of chronic non-communicable diseases and their risk factors leveraging a unique approach using interdigitating cohorts. We have assembled existing pregnancy, child, adolescent, adult and older adult cohorts across India to explore health effects of exposomes using causal analyses. We propose to use Bayesian kernel machine regression to assess the effects of mixtures of all pollutants including species of PM2.5 on health while accounting for potential non-linearities and interactions between exposures. This builds on earlier work that constructed a fine spatiotemporal model for PM2.5 exposure to study health outcomes in two Indian cities.Ethics and dissemination Ethical clearance for conduct of the study was obtained from the Institutional Ethics Committee (IEC) of the Centre for Chronic Disease Control, and all the participating institutes and organisations. National-level permission was provided by the Indian Council of Medical Research. The research findings will be disseminated through peer-reviewed publications, policy briefs, print and social media, and communicating with the participating communities and stakeholders. Training of Indian scientists will build the capacity to undertake research on selected adverse environmental exposures on population health in India.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
14
Issue :
10
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.2b36ee6b09d04127aecca8d9db5d18f8
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2024-087445