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Δευτέρα 18 Ιουλίου 2022

Long-term exposure to low-level air pollution, genetic susceptibility and risk of dementia

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Abstract
BackgroundWe aimed to assess the association between low-level air pollution and the risk of dementia, and examine the modification effect by genetic susceptibility on the relationship.
Methods
A total of 164 447 participants who were free of dementia at baseline and aged ≥60 years were included. Annual average concentrations of particulate matter (PM) with diameters of ≤2.5 μm (PM2.5), between 2.5 and 10 μm (PMcoarse), PM2.5 absorbance and nitrogen dioxides (NO2) were evaluated using the Land Use Regression models. Cox proportional hazards regression was used to estimate the association between air pollutants and incident dementia.
Results
The adjusted hazard ratio (HR) of dementia for a 5-μg/m3 increase in NO2 was 1.09 (95% CI, 1.05–1.14); the adjusted HR of dementia for a 1-μg/m3 increase in PM2.5 was 1.10 (1.04–1.17). Such significant associations were present even within concentration ranges well below the present World Health Organization, US and European annual mean limit values. In addition, higher PM2.5 absorbance, a marker closely related to motorized traffic, was associated with higher risk of dementia. We found the risk of dementia associated with a combination of air pollutants (NO2 or PM2.5) and high genetic susceptibility (APOE-ε4 alleles or overall genetic susceptibility) was greater than the addition of the risk associated with each individual factor, indicating significant interactions on an additive scale (all P-interaction < 0.05).
Conclusion
Long-term exposure to PM2.5 or NO2, even at relatively low levels, is associated with a higher risk of dementia. Air pollution may additively interact with the genetic susceptibility on dementia risk.
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Gestational Weight Gain and Birth Outcomes: A Comparison of Methods to Account for Gestational Age

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Abstract
Cross-sectional studies of total gestational weight gain (GWG) and perinatal outcomes have used different approaches to operationalize GWG and adjust for gestational duration. Using birth records from California (2007-2017), Nevada (2010-2017), and Oregon (2008-2017) we compared three commonly used approaches to estimate associations between GWG and cesarean delivery (C-section), small for gestational age (SGA), and low birth weight (LBW)]: (1) the Institute of Medicine r ecommended GWG ranges at a given gestational week, (2) total weight gain categories directly adjusting for gestational age as a covariate, and (3) weight-gain-for-gestational-age z-scores derived from an external longitudinal reference population. Among 5,461,130 births, the three methods yielded similar conclusions for C-section and SGA. However, for LBW, some associations based on z-scores were in the opposite direction of methods 1 and 2, paradoxically suggesting higher GWG increases risk of LBW. This was due to a greater proportion of preterm births among those with high z-scores, and controlling for gestational age in the z-score model brought the results in line with the other methods. We conclude that the use of externally-derived GWG z-scores based on ongoing pregnancies can yield associations confounded by duration of pregnancy when the outcome is strongly associated with gestational age at delivery.
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