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Particulate Air Pollutants and Trajectories of Depressive Symptoms in Older Women.

ABSTRACT: OBJECTIVES:Although several environmental factors contribute to the etiology of late-life depressive symptoms, the role of ambient air pollution has been understudied. Experimental data support the neurotoxicity of airborne particulate matter with aerodynamic diameter of ?2.5 ?m (PM2.5), but it remains unclear whether long-term exposure is associated with late-life depressive symptoms. Our secondary aim was to explore whether the observed associations between exposure and depressive symptoms are explained by dementia risk. DESIGN, SETTING, AND PARTICIPANTS:Prospective community-dwelling cohort study from the Women's Health Initiative Study of Cognitive Aging (1999-2010). Our analyses included 1,989 older women (baseline age 73.3 ± 3.75) with no prior depression or cognitive impairment. MEASUREMENTS:Participants completed annual assessments of depressive symptoms (15-item Geriatric Depression Scale). Average ambient PM2.5 exposure at the residential location was estimated by spatiotemporal modeling for the 3-years preceding each neuropsychological assessment. Participants underwent separate annual examinations for incident dementia defined by DSM-IV. Latent-class mixture models examined the association between PM2.5 and identified trajectories of symptoms. RESULTS:Six trajectories of depressive symptoms were identified. Across all women, PM2.5 exposure was positively associated with depressive symptoms. The effect was especially strong in two clusters with sustained depressive symptoms (n?=?625 sustained-mild [31%]; n?=?125 sustained-moderate; [6%]). Among those with sustained-moderate symptoms, the estimated adverse effect of PM2.5 exposure was greater than that of hypertension. Among women without dementia, associations were modestly attenuated. CONCLUSION:Long-term exposure to ambient fine particles was associated with increased depressive symptoms among older women without prior depression or cognitive impairment.

SUBMITTER: Petkus AJ

PROVIDER: S-EPMC6756168 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Particulate Air Pollutants and Trajectories of Depressive Symptoms in Older Women.

Petkus Andrew J AJ Younan Diana D Wang Xinhui X Serre Marc M Vizuete William W Resnick Susan S Espeland Mark A MA Gatz Margaret M Chui Helena H Manson JoAnn E JE Chen Jiu-Chiuan JC

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry 20190509 10

<h4>Objectives</h4>Although several environmental factors contribute to the etiology of late-life depressive symptoms, the role of ambient air pollution has been understudied. Experimental data support the neurotoxicity of airborne particulate matter with aerodynamic diameter of ≤2.5 μm (PM<sub>2.5</sub>), but it remains unclear whether long-term exposure is associated with late-life depressive symptoms. Our secondary aim was to explore whether the observed associations between exposure and depr ...[more]

PMID: 31311712

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Project description:BACKGROUND:Emerging data suggests PM2.5 (particulate matter with aerodynamic diameter <2.5??m) may be associated with both earlier declines in episodic memory (EM) and increased depressive symptoms in older adults. Although late-life depressive symptoms are associated with EM, no longitudinal studies have examined the inter-relationship among PM2.5, depressive symptoms and EM. METHODS:Older women (n?=?2,202; aged 67-83 in 1999) enrolled in the Women's Health Initiative Study of Cognitive Aging completed up to eight annual assessments of depressive symptoms (15-item Geriatric Depression Scale) and EM (California Verbal Learning Test). A nationwide spatiotemporal model (1999-2010) was used to estimate ambient PM2.5 exposure at residential locations. Univariate and bivariate structural equation models (SEMs) for latent-change scores were used to examine how 3-year average PM2.5 preceding each assessment affects the temporal dynamics and bidirectional relations of annual changes in depressive symptoms and EM. RESULTS:In univariate SEMs, one inter-quartile (4.04??g/m3) increment of 3-year PM2.5 was significantly (p?<?0.05) associated with accelerated declines in verbal learning (List A trials 1-3: ??=?-1.48) and free-recall memory (short-delay: ??=?-1.43; long-delay: ??=?-1.11), but not with change in depressive symptoms (??=?0.12; p?=?0.71). In bivariate SEMs, significant associations were observed between PM2.5 and accelerated declines in EM measures (??=?-1.44 to -0.99; p?<?0.05) and between EM performance and changes in depressive symptoms (??=?-0.08 to -0.05; p?<?0.05), with significant indirect PM2.5 effects on changes in depressive symptoms (??=?0.08-0.10; p?<?0.05). These findings were robust with adjustment for multiple demographic, lifestyle, and clinical factors, and remained after excluding subjects with dementia or mild cognitive impairment. No associations were found between PM2.5 and change in depressive symptoms or depressive symptoms and subsequent EM decline. CONCLUSIONS:Findings suggest that PM2.5 neurotoxicity may damage brain areas implicated in EM, followed by manifestation of depressive symptoms. Our data did not support depressive symptoms as the neuropsychological mediator of accelerated brain aging associated with PM2.5 exposure.

Project description:Depression has been identified as a risk factor for dementia. However, most studies have measured depressive symptoms at only one time point, and older adults may show different patterns of depressive symptoms over time.To investigate the association between trajectories of depressive symptoms and risk of dementia in older adults.This was a prospective cohort investigation of black and white community-dwelling older adults in the Health, Aging, and Body Composition study. Participants were enrolled between May 1997 and June 1998 and followed up through 2001-2002. The dates of this analysis were September 2014 to December 2015. The setting was community research centers in Memphis, Tennessee, and Pittsburgh, Pennsylvania. Trajectories of depressive symptoms were assessed from baseline to year 5. Symptoms were measured with the Center for Epidemiologic Studies Depression Scale Short Form, and trajectories were calculated using latent class growth curve analysis.Incident dementia through year 11, determined by dementia medication use, hospital records, or significant cognitive decline (?1.5 SD race-specific decline on the Modified Mini-Mental State Examination). We examined the association between depressive symptom trajectories and dementia incidence using Cox proportional hazards regression models adjusted for demographics, health factors that differed between groups, and cognition during the depressive symptom assessment period (baseline to year 5).The analytic cohort included 2488 black and white older adults with repeated depressive symptom assessments from baseline to year 5 who were free of dementia throughout that period. Their mean (SD) age at baseline was 74.0 (2.8) years, and 53.1% (n?=?1322) were female. The following 3 depressive symptom trajectories were identified: consistently minimal symptoms (62.0% [n?=?1542] of participants), moderate and increasing symptoms (32.2% [n?=?801] of participants), and high and increasing symptoms (5.8% [n?=?145] of participants). Compared with the consistently minimal trajectory, having a high and increasing depressive symptom trajectory was associated with significantly increased risk of dementia (fully adjusted hazard ratio, 1.94; 95% CI, 1.30-2.90), while the moderate and increasing trajectory was not associated with risk of dementia after full adjustment. Sensitivity analyses indicated that the high and increasing trajectory was associated with dementia incidence, while depressive symptoms at individual time points were not.Older adults with a longitudinal pattern of high and increasing depressive symptoms are at high risk for dementia. Individuals' trajectory of depressive symptoms may inform dementia risk more accurately than one-time assessment of depressive symptoms.

Project description:Chronic exposure to particulate air pollution may accelerate cognitive decline in older adults, although data on this association are limited. Our objective was to examine long-term exposure to particulate matter (PM) air pollution, both coarse ([PM 2.5-10 ?m in diameter [PM(2.5-10)]) and fine (PM <2.5 ?m in diameter [PM(2.5)]), in relation to cognitive decline.The study population comprised the Nurses' Health Study Cognitive Cohort, which included 19,409 US women aged 70 to 81 years. We used geographic information system-based spatiotemporal smoothing models to estimate recent (1 month) and long-term (7-14 years) exposures to PM(2.5-10), and PM(2.5) preceding baseline cognitive testing (1995-2001) of participants residing in the contiguous United States. We used generalized estimating equation regression to estimate differences in the rate of cognitive decline across levels of PM(2.5-10) and PM(2.5) exposures. The main outcome measure was cognition, via validated telephone assessments, administered 3 times at approximately 2-year intervals, including tests of general cognition, verbal memory, category fluency, working memory, and attention.Higher levels of long-term exposure to both PM(2.5-10) and PM(2.5) were associated with significantly faster cognitive decline. Two-year decline on a global score was 0.020 (95% CI, -0.032 to -0.008) standard units worse per 10 ?g/m(3) increment in PM(2.5-10) exposure and 0.018 (95% CI, -0.035 to -0.002) units worse per 10 ?g/m(3) increment in PM(2.5) exposure. These differences in cognitive trajectory were similar to those between women in our cohort who were approximately 2 years apart in age, indicating that the effect of a 10-?g/m(3) increment in long-term PM exposure is cognitively equivalent to aging by approximately 2 years.Long-term exposure to PM(2.5-10) and PM(2.5) at levels typically experienced by many individuals in the United States is associated with significantly worse cognitive decline in older women.

Project description:Background and objectivesPerceived discrimination is a risk factor for poor mental health. However, most studies measure discrimination at one time point, which does not account for heterogeneity in the cumulative patterning of exposure to discrimination. To address this gap, we examine the association between discrimination trajectories and depressive symptoms among black middle-aged and older adults.Research design and methodsData were analyzed from a subsample of black Health and Retirement Study respondents (2006-2018, N = 2926, older than 50 years). General discrimination and racial discrimination trajectories were constructed based on the Everyday Discrimination Scale using repeated measures latent profile analyses. We examined the extent to which the association between discrimination trajectories are differentially associated with depressive symptoms (8-item Center for Epidemiological Studies-Depression scale) using negative binomial regression models adjusted for potential confounders. Effect modification by age and gender was tested.ResultsIndividuals in the persistently high (incident rate ratio [IRR]: 1.70; 95% confidence interval [CI]: 1.49-1.95) and moderate general discrimination trajectories (IRR: 1.19; 95% CI: 1.06-1.33) were more likely to have elevated depressive symptoms in comparison to those in the persistently low trajectory. This relationship was strongest among older adults aged older than 65 years. Respondents in the persistently high racial discrimination trajectory (IRR: 1.50; 95% CI: 1.29-1.73) had a higher risk of elevated depressive symptoms in comparison to respondents in the persistently low trajectory. Sensitivity analyses indicated that there was an independent association between persistently high racial discrimination trajectory class and elevated depressive symptoms, after adjusting for racial discrimination measured at a single time point.Discussion and implicationsCharacterizing longitudinal patterns of perceived discrimination may facilitate the stratification of mental health risk and vulnerability among black middle-aged and older adults. Trajectories of racial discrimination may inform risk of worse depressive symptoms more accurately than a single assessment of discrimination.

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Particulate Air Pollutants and Trajectories of Depressive Symptoms in Older Women.

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Particulate Air Pollutants and Trajectories of Depressive Symptoms in Older Women.

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