Exploring the cooking energy biomass and its impact on women’s health and quality of life in rural households: a micro-environmental study from West Bengal in India
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引用次数: 0
Abstract
Exposure to household air pollutants has become a significant environmental health concern in developing nations. This study aimed to understand the growing energy consumption within households, particularly for cooking, and its impact on women’s health in rural areas. We conducted real-time monitoring of ambient particulate matter (PM2.5) and carbon monoxide (CO) levels in 61 rural kitchens in the Medinipur and Jhargram districts of West Bengal, India. Additionally, we calculated the Standard Living Index (SLI) based on socio-demographic factors from 540 households. Our analyses using ANOVA and chi-square methods revealed significant effects of cooking fuel types and locations on various health indicators among women. Eye irritation was prevalent across all fuel types, followed by shortness of breath (33%), coughing (22%), and dizziness (21%). Alarmingly, nearly half (48%) of children under five consistently accompanied their mothers during cooking, exposing them to health risks. Indoor air pollution, particularly from traditional fuels like fuelwood, cow dung cakes, and leaves, poses a grave threat to families. These fuels emit considerable amounts of PM2.5 and CO, with levels reaching as high as 565 µg/m3 and 12.5 ppm, respectively, leading to respiratory and cardiovascular complications. Clean cooking fuel users, such as those using LPG, reported improved quality of life scores across physical, psychological, social, and environmental categories. This study highlights the urgent need to transition to cleaner cooking fuels to mitigate adverse health effects on women and children in rural households.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.