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      Ambient Air Pollution and Long-Term Trajectories of Episodic Memory Decline among Older Women in the WHIMS-ECHO Cohort

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          Abstract

          Background:

          Episodic memory decline varies by age and underlying neuropathology. Whether ambient air pollution contributes to the heterogeneity of episodic memory decline in older populations remains unclear.

          Objectives:

          We estimated associations between air pollution exposures and episodic memory decline according to pollutant, exposure time window, age, and latent class subgroups defined by episodic memory trajectories.

          Methods:

          Participants were from the Women’s Health Initiative Memory Study–Epidemiology of Cognitive Health Outcomes. Older women ( n = 2,056 ; 74–92 years of age) completed annual (2008–2018) episodic memory assessments using the telephone-based California Verbal Learning Test (CVLT). We estimated 3-y average fine particulate matter [PM with an aerodynamic diameter of 2.5 μ m ( PM 2.5 )] and nitrogen dioxide ( NO 2 ) exposures at baseline and 10 y earlier (recent and remote exposures, respectively), using regionalized national universal kriging. Separate latent class mixed models were used to estimate associations between interquartile range increases in exposures and CVLT trajectories in women 80 and > 80  years of age , adjusting for covariates.

          Results:

          Two latent classes were identified for women 80  years of age ( n = 828 ), “slow-decliners” { slope = 0.12 / y [95% confidence interval (CI): 0.23 , 0.01 ] and “fast-decliners” [ slope = 1.79 / y (95% CI: 2.08 , 1.50 )]}. In the slow-decliner class, but not the fast-decliner class, PM 2.5 exposures were associated with a greater decline in CVLT scores over time, with a stronger association for recent vs. remote exposures [ 0.16 / y (95% CI: 2.08 , 0.03 ) per 2.88 μ g / m 3 and 0.11 / y (95% CI: 0.22 , 0.01) per 3.27 μ g / m 3 , respectively]. Among women 80  years of age ( n = 1,128 ), the largest latent class comprised “steady-decliners” [ slope = 1.35 / y (95% CI: 1.53 , 1.17 )], whereas the second class, “cognitively resilient”, had no decline in CVLT on average. PM 2.5 was not associated with episodic memory decline in either class. A 6.25 -ppb increase in recent NO 2 was associated with nonsignificant acceleration of episodic memory decline in the 80 -y-old fast-decliner class [ 0.21 / y (95% CI: 0.45 , 0.04)], and in the > 80 -y-old cognitively resilient class [ 0.10 / y (95% CI: 0.24 , 0.03)] and steady-decliner class [ 0.11 / y (95% CI: 0.27 , 0.05)]. Associations with recent NO 2 exposure in women > 80  years of age were stronger and statistically significant when 267 women with incident probable dementia were excluded [e.g., 0.12 / y (95% CI: 0.22 , 0.02 ) for the cognitively resilient class]. In contrast with changes in CVLT over time, there were no associations between exposures and CVLT scores during follow-up in any subgroup.

          Discussion:

          In a community-dwelling U.S. population of older women, associations between late-life exposure to ambient air pollution and episodic memory decline varied by age-related cognitive trajectories, exposure time windows, and pollutants. https://doi.org/10.1289/EHP7668

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          Most cited references74

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          Episodic memory is a neurocognitive (brain/mind) system, uniquely different from other memory systems, that enables human beings to remember past experiences. The notion of episodic memory was first proposed some 30 years ago. At that time it was defined in terms of materials and tasks. It was subsequently refined and elaborated in terms of ideas such as self, subjective time, and autonoetic consciousness. This chapter provides a brief history of the concept of episodic memory, describes how it has changed (indeed greatly changed) since its inception, considers criticisms of it, and then discusses supporting evidence provided by (a) neuropsychological studies of patterns of memory impairment caused by brain damage, and (b) functional neuroimaging studies of patterns of brain activity of normal subjects engaged in various memory tasks. I also suggest that episodic memory is a true, even if as yet generally unappreciated, marvel of nature.
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            Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.

            During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this "silent" stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.
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              Neighborhood of residence and incidence of coronary heart disease.

              Where a person lives is not usually thought of as an independent predictor of his or her health, although physical and social features of places of residence may affect health and health-related behavior. Using data from the Atherosclerosis Risk in Communities Study, we examined the relation between characteristics of neighborhoods and the incidence of coronary heart disease. Participants were 45 to 64 years of age at base line and were sampled from four study sites in the United States: Forsyth County, North Carolina; Jackson, Mississippi; the northwestern suburbs of Minneapolis; and Washington County, Maryland. As proxies for neighborhoods, we used block groups containing an average of 1000 people, as defined by the U.S. Census. We constructed a summary score for the socioeconomic environment of each neighborhood that included information about wealth and income, education, and occupation. During a median of 9.1 years of follow-up, 615 coronary events occurred in 13,009 participants. Residents of disadvantaged neighborhoods (those with lower summary scores) had a higher risk of disease than residents of advantaged neighborhoods, even after we controlled for personal income, education, and occupation. Hazard ratios for coronary events in the most disadvantaged group of neighborhoods as compared with the most advantaged group--adjusted for age, study site, and personal socioeconomic indicators--were 1.7 among whites (95 percent confidence interval, 1.3 to 2.3) and 1.4 among blacks (95 percent confidence interval, 0.9 to 2.0). Neighborhood and personal socioeconomic indicators contributed independently to the risk of disease. Hazard ratios for coronary heart disease among low-income persons living in the most disadvantaged neighborhoods, as compared with high-income persons in the most advantaged neighborhoods were 3.1 among whites (95 percent confidence interval, 2.1 to 4.8) and 2.5 among blacks (95 percent confidence interval, 1.4 to 4.5). These associations remained unchanged after adjustment for established risk factors for coronary heart disease. Even after controlling for personal income, education, and occupation, we found that living in a disadvantaged neighborhood is associated with an increased incidence of coronary heart disease.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                13 September 2021
                September 2021
                : 129
                : 9
                : 097009
                Affiliations
                [ 1 ]Department of Neurology, University of Southern California , Los Angeles, California, USA
                [ 2 ]Department of Population and Public Health Sciences, University of Southern California , Los Angeles, California, USA
                [ 3 ]Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Wake Forest University , Winston-Salem, North Carolina, USA
                [ 4 ]Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Department of Health and Human Services , Baltimore, Maryland, USA
                [ 5 ]Center for Economic and Social Research, University of Southern California , Los Angeles, California, USA
                [ 6 ]Departments of Environmental & Occupational Health Sciences, Medicine (General Internal Medicine), and Epidemiology, University of Washington , Seattle, Washington, USA
                [ 7 ]Department of Environmental Health, Boston University , Boston, Massachusetts, USA
                [ 8 ]Department of Epidemiology, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA
                [ 9 ]Brigham and Women’s Hospital, Harvard Medical School , Boston, Massachusetts, USA
                Author notes
                Address correspondence to Jiu-Chiuan Chen, Departments of Population and Public Health Sciences & Neurology, University of Southern California, SSB 225P 2001 N. Soto St., Los Angeles, CA 90033 USA. Telephone: (323) 442-2949. Email: jcchen@ 123456usc.edu
                Article
                EHP7668
                10.1289/EHP7668
                8437247
                34516296
                17838c1c-fa4a-4745-87ef-8844458d04ef

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 13 June 2020
                : 17 August 2021
                : 19 August 2021
                Categories
                Research

                Public health
                Public health

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