4.5 Article

Long-Term Exposure to PM2.5 and Cognitive Decline: A Longitudinal Population-Based Study

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 80, Issue 2, Pages 591-599

Publisher

IOS PRESS
DOI: 10.3233/JAD-200852

Keywords

Air pollution; cerebrovascular diseases; cognitive decline; particulate matter; population-based study

Categories

Funding

  1. Swedish National study on Aging and Care
  2. Ministry of Health and Social Affairs, Sweden
  3. Swedish Research Council
  4. Karolinska Institutet (KID-funding), Stockholm, Sweden
  5. Swedish Research Council for Health, Working Life andWelfare
  6. Chinese scholarship council (CSC)

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The study revealed an inverted U-shaped relationship between PM2.5 and cognitive decline, with low to mean levels of PM2.5 associated with a higher risk of accelerated cognitive decline. Cerebrovascular diseases further amplified this risk.
Background: A growing but contrasting evidence relates air pollution to cognitive decline. The role of cerebrovascular diseases in amplifying this risk is unclear. Objectives: 1) Investigate the association between long-term exposure to air pollution and cognitive decline; 2) Test whether cerebrovascular diseases amplify this association. Methods: We examined 2,253 participants of the Swedish National study on Aging and Care in Kungsholmen (SNACK). One major air pollutant (particulate matter <= 2.5 mu m, PM2.5) was assessed yearly from 1990, using dispersion models for outdoor levels at residential addresses. The speed of cognitive decline (Mini-Mental State Examination, MMSE) was estimated as the rate of MMSE decline (linear mixed models) and further dichotomized into the upper (25% fastest cognitive decline), versus the three lower quartiles. The cognitive scores were used to calculate the odds of fast cognitive decline per levels of PM2.5 using regression models and considering linear and restricted cubic splines of 10 years exposure before the baseline. The potential modifier effect of cerebrovascular diseases was tested by adding an interaction term in the model. Results: We observed an inverted U-shape relationship between PM2.5 and cognitive decline. The multi-adjusted piecewise regression model showed an increased OR of fast cognitive decline of 81%(95%CI = 1.2-3.2) per interquartile range difference up to mean PM2.5 level (8.6 mu g/m(3)) for individuals older than 80. Above such level we observed no further risk increase (OR = 0.89;95%CI = 0.74-1.06). The presence of cerebrovascular diseases further increased such risk by 6%. Conclusion: Low to mean PM2.5 levels were associated with higher risk of accelerated cognitive decline. Cerebrovascular diseases further amplified such risk.

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