Guiming Zhu, Yanchao Wen, Rule Du, Kexin Cao, Rong Zhang, Xiangfeng Lu, Jie Liang, Qian Gao, Tong Wang
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Sustainable development reduces particulate matter emissions and mitigates aging’s cognitive impact
China’s aging population and the rising public health burden from cognitive impairment are pressing concerns. Using mixed-effects models, we analyzed the association between particulate matter and its components with cognitive function using 20,115 observations from 123 Chinese cities and assessed economic costs under various socioeconomic scenarios. The single-pollutant model showed cognitive scores decrease with higher pollutant concentrations: PM1 (−0.53 points/0.1 µg/m3), PM2.5 (−0.30), PM10 (−0.14), organic matter (−1.44), ammonium (−1.55), sulfate (−1.70), and black carbon (−7.23). Nitrate showed no statistical association. In the multi-pollutant model, PM₁, PM₂.₅, organic matter, sulfate, and black carbon exhibited a statistically negative association with cognitive scores. Sustainable strategies reducing particulate matter levels could mitigate aging impacts and lower economic costs by $19.35 billion by 2050, offering significant health and financial benefits.
期刊介绍：
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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