医院模板

Air Pollution Modeling with High Spatiotemporal Resolution

Use diverse datasets from satellite remote sensing, geographic information systems, atmospheric chemical models, meteorological data, and land-use data, utilize various machine learning methods, conduct high-precision modeling of air pollutants (PM2.5, NO2, O3) across large spatiotemporal scales. The related datasets provide valuable information for epidemiological, economic, and environmental economic research.

Short-term Risk of Low-level of Air Pollution Exposure

Focus on the impact of short-term exposure to very low concentrations of PM2.5 on all-cause mortality; find that even short-term exposure to low concentrations of PM2.5 can significantly increase mortality rates. The related findings were published in the Journal of the American Medical Association (JAMA). This paper was used by the World Health Organization as key scientific evidence to revise the recommended daily average for PM2.5 in 2021, and served as crucial evidence for the U.S. Environmental Protection Agency to update the National Air Quality Standards in the United States in February 2024.

Health Effect of Low-levels of Air Pollution Exposure

Use air pollution modeling results with high spatiotemporal precision, follow up to 67 million elderly individuals, find that even low concentrations of fine particulate matter (PM2.5) can still affect human health and significantly increase mortality rates. Related findings were published in The New England Journal of Medicine (NEJM), a top international journal. This paper served as scientific evidence in 2021 to help the World Health Organization in revising its recommended value of PM2.5 (WHO global air quality guidelines) from 10μg/m3 to 5μg/m3. In February 2024, it again served as scientific evidence to help the U.S. Environmental Protection Agency in improving the National Air Quality Standards of PM2.5 from 12μg/m3 to 9μg/m3.

Does Exercising in Air Pollution Still Improve Cognitive Function? Evidence from Personal-level Exposure Measurement

This study used brain imaging and behavioral psychology tools, and conducted four follow-up measurements in one year on 90 college students in Beijing to explore the interactive effect of air pollution and physical activity on executive function and its neurophysiological mechanisms at individual level. This study found that under low to medium concentrations of air pollution, moderate to vigorous-intensity physical activity can offset the negative impact of PM2.5 on executive function. This study provides new guidance and suggestions for physical activity recommendations for people living in different regions.

Does Exercising in Air Pollution Still Improve Cognitive Function? Evidence from Randomized Controlled Trial

Using a randomized controlled trial, this study explored the neural mechanisms underlying the effects of physical activity and PM2.5 interventions on cognitive function. Ninety-three young adults were randomly assigned to high-intensity, moderate-intensity, and control groups, with interventions involving PM2.5 purification or non-purification. Participants' cognitive function was assessed before and after the intervention, and hemodynamic responses in the cerebral cortex were monitored using functional near-infrared spectroscopy (fNIRS). The findings revealed that acute high-intensity exercise improved cognitive function. While high-intensity interval exercise under high PM2.5 exposure reduced but did not eliminate cognitive benefits, it remained advantageous. Cortical activation in the middle frontal gyrus and dorsolateral superior frontal gyrus was identified as the neurophysiological mechanism through which PM2.5 and exercise interact to affect cognitive function. This study provides exercise guidelines tailored for various environmental conditions (e.g., air pollution) to maximize the cognitive benefits of physical activity while minimizing potential health risks associated with PM2.5 exposure.

Physical Activity Recommendations Based on Air Pollution Exposure

This study analyzed data from a sample of 100,000 people in China over 12 years, finding that black carbon in PM2.5 posed the greatest risk to cognitive function. Within the study's PM2.5 concentration range (11.91-119.54 μg/m³), physical activity was found to mitigate the harmful effects of PM2.5 exposure on cognitive function. Although the cognitive benefits of physical activity were weakened by PM2.5 exposure, they remained significant. Specifically, a dose-response compensation relationship was observed: engaging in physical activity twice a week could counteract the cognitive decline associated with a 10.08 μg/m³ increase in PM2.5; two hours of physical activity per week could offset the cognitive harm caused by a 16.50 μg/m³ increase in PM2.5. Based on these findings, the study provided physical activity recommendations for residents across different provinces in China. The research suggests that physical activity may be a practical and cost-effective way to mitigate the negative cognitive effects of air pollution. It addresses a common public concern: within the PM2.5 concentration range of this study (11.91-119.54 μg/m³), physical activity remains beneficial for cognitive function despite PM2.5 exposure, as its positive impact outweighs the harm caused by PM2.5.

Protective Effect of Exercise During Pandemic Lockdown

Completed in early 2020, just as the COVID-19 pandemic was beginning, this study is one of the earliest to point out the impact of pandemic-related home confinement on mental health, and it explores the role of physical activity at home in improving mental health. The research was listed in the top 1% of the academic field of Environment/Ecology in the school library for six consecutive periods and was included in the ESI highly cited papers list for six consecutive periods. The first author of the paper, Zhang Yao, is now a young faculty member at Soochow University.