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General Knowledge - General Knowledge:

General Knowledge

MCQ - 2010-7269

Question:

According to researchers, how are children impacted by air pollution?

  1. It damages their cognitive capabilities
  2. It damages working memory
  3. It impacts long term memory adversely
  4. It damages working memory

Correct Answer: B

Explanation:

Exposure to air pollution on the way to school can have damaging effects on growth of children's working memory, suggests new research. The study found an association between a reduction in working memory and exposure to fine particulate matter (PM2.5) - fine inhalable particles that have diameters of 2.5 micrometres or less-and black carbon-a pollutant directly related to traffic-during the walking commute to and from school. The findings of an earlier study had shown that 20 percent of a child's daily dose of black carbon is inhaled during urban commutes. The results of earlier toxicological and experimental studies have shown that these short exposures to very high concentrations of pollutants can have a disproportionately high impact on health. The detrimental effects may be particularly marked in children because of their smaller lung capacity and higher respiratory rate. The study was carried out in Barcelona and enrolled over 1,200 children aged from 7 to 10, from 39 schools, all of whom walked to school on a daily basis. The children's working memory and attention capacity were assessed several times during the 12-month study. Their exposure to air pollution over the same period was calculated on the basis of estimated levels on the shortest walking route to their school. Statistical analysis of the findings revealed that exposure to PM2.5 and black carbon was associated with a reduction in the growth of working memory. An interquartile range increase in PM 2.5 and black carbon levels were associated with a decline of 4.6 percent and 3.9 percent, respectively, in the expected annual growth of working memory, the study said. The interquartile range (IQR) is a measure of variability based on dividing a data set into quartiles.

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