It only takes a few weeks of air pollution to reduce cognitive performance
Breathing polluted air for only a few weeks may be enough to reduce cognitive performance, according to a new study from Columbia University’s Mailman School of Public Health. Air pollution comes from many sources, including cigarettes, charcoal grills, gasoline cars, and natural events like forest fires. There is some good news, however, as the same study found that common NSAID pain relievers may help reduce the impact.
Many places have regulations in place to reduce emissions and address smog. However, the new study points out that there are many potential sources of short-term air pollution exposure that one may come across at work and in daily life, such as sitting in traffic. This exposure may have a negative impact on cognitive performance.
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Exposure to air pollution, even over the course of just a few weeks, can impede mental performance, according to a new study led by researchers at Columbia University Mailman School of Public Health. However, these adverse effects were lessened in people taking nonsteroidal anti-inflammatory drugs (NSAIDs) like aspirin. The study is among the first to explore short-term air pollution exposures and the use of NSAIDs to mitigate their effects. The results are published in the journal
Nature Aging.
Examples of events that would increase someone s exposure to air pollution over the short term could include forest fires, smog, second-hand cigarette smoke, charcoal grills, and gridlock traffic.
Georgia Asian Times
2021 GAT 25 Most Influential Asian Americans in Georgia
April 30, 2021
It s that time of the year where Georgia Asian Times recognizes the 25 Asian Americans Pacific Islander individuals who have make an impact in fields ranging from business, education, community service to politics. We honor these individuals for their contributions and dedication in their roles within the community.
We admit that the roster is incomplete and we may have omitted some well qualified Asian American Pacific Islander individuals. The list of “most influentials” have been submitted through online nomination and vetted by our selection criteria. Some names are familiar but a majority of the honorees deservingly earned their way to the roster.
The Mayor Promises a Summer to Remember in New York. Can He Deliver?
A pledge from Mayor Bill de Blasio that New York City would fully reopen on July 1 brought hope. But his vision of a city reborn faces significant obstacles.
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De Blasio Says, ‘This Is Going to Be the Summer of New York City’
Mayor Bill de Blasio of New York set a goal on Thursday for a full reopening of city businesses on July 1, but his authority to lift restrictions was somewhat limited. Capacity limits have been set by the state.
“We are ready to bring New York City back fully on July 1. What you have done is the reason I can make this announcement today, because you’ve gone out, you’ve gotten vaccinated, you’ve done so much to fight through this crisis. Now we can see that light at the end of the tunnel. This is going to be the summer of New York City. We’re all going to get to enjoy this city again. And people are going to flock here from all over the country to be a part of this
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April 28, 2021 Using naturalistic driving data and machine learning techniques, researchers at Columbia University Mailman School of Public Health and Columbia s Fu Foundation School of Engineering and Applied Science have developed highly accurate algorithms for detecting mild cognitive impairment and dementia in older drivers. Naturalistic driving data refer to data captured through in-vehicle recording devices or other technologies in the real-world setting. These data could be processed to measure driving exposure, space and performance in great detail. The findings are published in the journal
Geriatrics.
The researchers developed random forests models, a statistical technique widely used in AI for classifying disease status, that performed exceptionally well. Based on variables derived from the naturalistic driving data and basic demographic characteristics, such as age, sex, race/ethnicity and education level, we could predict mild cognitive impairment an