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. 2022 Feb;130(2):27005.
doi: 10.1289/EHP9563. Epub 2022 Feb 9.

Environmental Air Pollution and Olfactory Decline in Aging

Affiliations

Environmental Air Pollution and Olfactory Decline in Aging

Ingrid A Ekström et al. Environ Health Perspect. 2022 Feb.

Abstract

Background: Olfactory impairment is increasingly common with older age, which may be in part explained by cumulative effects of exposure to inhaled toxins. However, population-based studies investigating the relationship between air pollution and olfactory ability are scarce.

Objectives: We aimed to investigate associations between exposure to common air pollutants and longitudinal change in odor identification.

Methods: Our study of 2,468 participants (mean age=72.3y; 61.1% female), of which 1,774 participants (mean age=70.5y; 61.9% female) had at least two olfactory assessments over 12 y of follow-up from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), Stockholm, Sweden. Participants were free from cognitive impairment and neurodegenerative disease at baseline. Odor identification ability was assessed with Sniffin' Sticks. Change in olfactory performance was estimated with linear mixed models. Exposure to two major airborne pollutants [particulate matter with aerodynamic diameter 2.5μm (PM2.5) and nitrogen oxides (NOx)] for the 5 y preceding baseline was assessed using spatiotemporal dispersion models for outdoor levels at residential addresses.

Results: Participants showed significant decline in odor identification ability for each year in the study {β=-0.20 [95% confidence interval (CI): -0.22, 0.18; p<0.001]}. After adjustment for all covariates, residents of third [β=-0.09 (95% CI: -0.14, -0.04; p<0.001)] and fourth [β=-0.07 (95% CI: -0.12, -0.02; p=0.005)] exposure quartiles of PM2.5 had faster rates of olfactory decline than residents from the first quartile. Similar results were observed for the third [β=-0.05 (95% CI: -0.10, -0.01; p=0.029)] and fourth [β=-0.07 (95% CI: -0.11, -0.02; p=0.006) quartiles of NOx].

Discussion: Our results suggest an association between air pollution exposure and subsequent olfactory decline. We speculate that cumulative effects of airborne pollutants on the olfactory system may be one underlying cause of olfactory impairment in aging. https://doi.org/10.1289/EHP9563.

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Figures

Figure 1 is a graph, plotting age group (years) ranging from 78 and 81 plus, 72, to 60 and 66 in decrements of 6 (y-axis) across years (calendar) ranging from 2001 to 2016 in increments of 3 (x-axis) for uppercase b equals baseline, uppercase f 1 equals first, uppercase f 2 equals second, uppercase f 3 equals third, and uppercase f 4 equals fourth follow-up.
Figure 1.
The SNAC-K study design.
Figure 2 is a line graph, titled predictive margins of quartiles of particulate matter 2.5 (95 percent confidence intervals), plotting odor identification score (linear prediction) ranging from 8 to 12 in unit increments (y-axis) across time in study (years) ranging from 0 to 13 in unit increments (x-axis) for first quartile, second quartile, third quartile, and fourth quartile.
Figure 2.
Results of multiadjusted linear mixed models (adjusted for age, sex, education, odor test version at baseline, baseline assessment year, vocabulary, longest held occupation, BMI, smoking, diabetes, heart disease, and cerebrovascular disease) on associations between quartiles of air pollution in PM2.5 (5-y mean prior baseline assessment) and intercept and change (score/year) in odor identification in the total sample (n=2,468), derived from the SNAC-K study on Aging and Care in Kungsholmen, Stockholm, Sweden (baseline assessment between 2001 and 2003; last assessment between 2013 and 2015).
Figure 3 is a line graph, titled predictive margins of quartiles of nitrogen oxides (95 percent confidence intervals), plotting odor identification score (linear prediction), ranging from 8 to 12 in unit increments (y-axis) across time in study (years) ranging from 0 to 13 in unit increments (x-axis) for first quartile, second quartile, third quartile, and fourth quartile.
Figure 3.
Results of multiadjusted linear mixed models (adjusted for age, sex, education, odor test version at baseline, baseline assessment year, vocabulary, longest held occupation, BMI, smoking, diabetes, heart disease, and cerebrovascular disease) on associations between quartiles of air pollution in NOx (5-y mean prior baseline assessment) and intercept and change (score/year) in odor identification in the total sample (n=2,468), derived from the SNAC-K Study on Aging and Care in Kungsholmen, Stockholm, Sweden (baseline assessment between 2001 and 2003; last assessment between 2013 and 2015).

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