IIT-Delhi study reveals 30% pollution reduction can significantly lower heart disease, diabetes, and anaemia cases, emphasizing NCAP's public health benefits.
Exposure to poor air quality is a leading risk factor for respiratory diseases, diabetes, heart ailments, and premature deaths in children.
A study by IIT-Delhi and Climate Trends reveals that reducing pollution levels by up to 30% can significantly decrease heart disease, diabetes, anaemia, and low birth weight among women and children.
The study uses data from the National Family Health Survey 5, epidemiological studies, and pollution data to highlight the co-benefits of adhering to the National Clean Air Programme (NCAP).
Launched in 2019, the NCAP aims to improve air quality in 131 cities by next year and reduce particulate matter pollution by 40% by 2026.
Detailed Insights:
Poor air quality leads to significant health-related costs, with a Lancet Planetary Health study estimating about 1.5 million deaths annually in India due to failure to meet WHO pollution guidelines.
The NCAP aims to mitigate the far-reaching impacts of particulate matter pollution on public health, but its success depends on measures taken beyond the cities covered by the program.
A white paper in August highlighted that air pollution is not confined to administrative boundaries, emphasizing the need for broader monitoring systems that include rural areas.
Many cities, including Delhi, have not fully adhered to the NCAP's guidelines, with inadequate utilization of funds and improper placement of pollution monitoring stations.
The IIT-Delhi-Climate Trends study underscores the potential of the NCAP to improve public health, urging the government to learn from the study and refine the program.
Key Concepts Involved:
Particulate Matter: Microscopic solid or liquid matter suspended in the air, posing health risks when inhaled.
National Clean Air Programme (NCAP): India's initiative to improve air quality in cities by reducing particulate matter pollution.
Epidemiological Studies: Research that examines the distribution and determinants of health-related states or events in specified populations.