1. Health effects of selected environmental Exposomes Across the Life courSe in Indian populations using longitudinal cohort studies: GEOHealth HEALS Study protocol
- Author
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Viswanathan Mohan, Dorairaj Prabhakaran, Sonal Singh, Ruby Gupta, Dimple Kondal, Sailesh Mohan, Vipin Gupta, Tarun Gupta, Petter Ljungman, Suganthi Jaganathan, Joel D Schwartz, Chittaranjan Yajnik, Deepa Mohan, Poornima Prabhakaran, Siddhartha Mandal, Nancy Long Sieber, Gagandeep Kaur Kaur Walia, Jyothi S Menon, Prashant Rajput, Ajit Rajiva, Anubrati Dutta, Bhargav Krishna, Enakshi Ganguly, Kishore Madhipatla, Praggya Sharma, and KS Reddy
- Subjects
Medicine - 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.
- Published
- 2024
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