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Fine Particulate Matter and Age-Related Eye Disease: The Canadian Longitudinal Study on Aging
PURPOSE: To determine the relationship between fine particulate matter (PM(2.5)) and ocular outcomes such as visual impairment and age-related eye disease. METHODS: Baseline data were used from the Canadian Longitudinal Study on Aging. The Comprehensive Cohort consisted of 30,097 adults ages 45 to 8...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354031/ https://www.ncbi.nlm.nih.gov/pubmed/34369984 http://dx.doi.org/10.1167/iovs.62.10.7 |
Sumario: | PURPOSE: To determine the relationship between fine particulate matter (PM(2.5)) and ocular outcomes such as visual impairment and age-related eye disease. METHODS: Baseline data were used from the Canadian Longitudinal Study on Aging. The Comprehensive Cohort consisted of 30,097 adults ages 45 to 85 years. Annual mean PM(2.5) levels (µg/m(3)) for each participant's postal code were estimated from satellite data. Ozone, sulfur dioxide, and nitrogen dioxide levels were also estimated. Binocular presenting visual acuity was measured using a visual acuity chart. Intraocular pressure (IOP) was measured in millimeters of mercury using the Reichart Ocular Response Analyzer. Participants were asked about a diagnosis of glaucoma, macular degeneration, or cataract. Logistic and linear regression models were used. RESULTS: The overall mean PM(2.5) level was 6.5 µg/m(3) (SD = 1.8). In the single pollutant models, increased PM(2.5) levels (per interquartile range) were associated with visual impairment (odds ratio [OR] = 1.12; 95% confidence interval [CI], 1.02–1.24), glaucoma (OR = 1.14; 95% CI, 1.01–1.29), and visually impairing age-related macular degeneration (OR = 1.52; 95% CI, 1.10–2.09) after adjustment for sociodemographics and disease. PM(2.5) had a borderline adjusted association with cataract (OR = 1.06; 95% CI, 0.99–1.14). In the multi-pollutant models, increased PM(2.5) was associated with glaucoma and IOP only after adjustment for sociodemographics and disease (OR = 1.24; 95% CI, 1.05–1.46 and β = 0.24; 95% CI, 0.12–0.37). CONCLUSIONS: Increased PM(2.5) is associated with glaucoma and IOP. These associations should be confirmed using longitudinal data and potential mechanisms should be explored. If confirmed, this work may have relevance for revision of World Health Organization thresholds to protect human health. |
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