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. 2021 Sep 24;129(9):096001. doi: 10.1289/EHP8716

Table 1.

Summary of study characteristics for eligible studies on air pollution and late-life cognitive health identified through 31 December 2020.

Study Focus Citation/cohort n/Location Exposures considered Outcomes considered New to the review
PM10 PM2.510 PM2.5 Traffic-related air pollutiona Wood-burning PM NO2 or NOx Ozone API Cognitive test scores Prevalent cognitive impairment Change in cognitive test scores Dementia (medical records or claims) Dementia (study assessment) Other incident cognitive impairment Neuroimaging
Cognitive Level (Ailshire and Crimmins 2014)/HRS 13,996/USA Yes Yes
Cognitive Level (Ailshire and Clarke 2015)/ACL Survey 780/USA Yes Yes
Cognitive Level (Chen et al. 2020)/TIGER 360/Taipei and Keelung, Taiwan Yes Yes Yes Yes Yes Yes Yes
Cognitive Level (Chen and Schwartz 2009)/NHANES III 1,764/USA Yes Yes Yes
Cognitive Level (Gatto et al. 2014)/WISH, BVAIT, and ELITE 1,496/Los Angeles Basin, USA Yes Yes Yes Yes
Cognitive Level (Kim et al. 2019)/Volunteer community-based sample in South Korea 1,484/four regions of South Korea Yes Yes Yes Yes Yes Yes
Cognitive Level (Lo et al. 2019)/TLSA 6,546/Taiwan Yes Yes Yes Yes
Cognitive Level (Power et al. 2011)/NAS 680/Greater Boston, USA Yes Yes Yes
Cognitive Level (Ranft et al. 2009)/SALIA 399/Ruhr and adjacent area, Germany Yes Yes Yes
Cognitive Level (Rocha et al. 2020)/ELSA-Brasil 3,050/Sao Paolo, Brazil Yes Yes Yes
Cognitive Level (Salinas-Rodríguez et al. 2018)/ENSANUT-2012 7,986/Mexico Yes Yes Yes
Cognitive Level (Schikowski et al. 2015)/SALIA 789/Ruhr and adjacent area, Germany Yes Yes Yes Yes Yes
Cognitive Level (Shin et al. 2019)/KFACS 2,896/South Korea Yes Yes Yes Yes Yes Yes Yes
Cognitive Level (Tallon et al. 2017)/NSHAP 3,377/USA Yes Yes Yes Yes
Cognitive Level (Tzivian et al. 2016)/Heinz Nixdorf RECALL 4,050/Ruhr area, Germany Yes Yes Yes Yes Yes Yes Yes
Cognitive Level (Wellenius et al. 2012a)/MOBILIZE Boston 765/Boston, USA Yes Yes Yes
Cognitive Level (Wurth et al. 2018)/BPRHS 1497/Boston, USA Yes Yes Yes Yes
Cognitive Level (Yao et al. 2021)/CLHLS 11,187/China Yes Yes Yes Yes
Cognitive Level (Younan et al. 2020a)/WHIMS-MRI and WHISCA 998/USA Yes Yes Yes Yes Yes
Cognitive Level (Zeng et al. 2010)/CLHLS 15,973/China Yes Yes
Neuroimaging Level and Cognitive Level (Crous-Bou et al. 2020)/ALFA 958 (cognitive level); 228 (neuroimaging)/Barcelona, Spain Yes Yes Yes Yes Yes Yes Yes Yes
Neuroimaging Level and Cognitive Level (Nußbaum et al. 2020)/1000BRAINS 615/Ruhr area, Germany Yes Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Casanova et al. 2016)/WHIMS-MRI 1,365/USA Yes Yes Yes
Neuroimaging Level (Chen et al. 2015)/WHIMS-MRI 1,403/USA Yes Yes
Neuroimaging Level (Erickson et al. 2020)/UK Biobank 18,292/UK Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Gale et al. 2020)/UK Biobank 18,288/UK Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Hedges et al. 2019)/UK Biobank 18,278/UK Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Hedges et al. 2020)/UK Biobank 18,278/UK Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Iaccarino et al. 2021)/IDEAS 18,178/USA Yes Yes Yes Yes
Neuroimaging Level (Kulick et al. 2017)/NOMAS 1,075/New York, USA Yes Yes Yes Yes Yes Yes
Neuroimaging Level (Power et al. 2018a)/ARIC 1,753/4 regions of the USA Yes Yes Yes Yes
Neuroimaging Level (Wilker et al. 2015)/FOS 929b/New England, USA Yes Yes Yes
Neuroimaging Level (Wilker et al. 2016a)/MADRC 236/New England and New York, USA Yes Yes Yes Yes
Neuroimaging Level (Younan et al. 2020b)/WHIMS-MRI 1,365 (cross-sectional); 712 (longitudinal)/USA Yes Yes Yes
Cognitive Level and Cognitive Change (Cullen et al. 2018)/UK Biobank 86,759 (cross-sectional analysis); 2,913 (follow-up sample)/UK Yes Yes Yes Yes Yes Yes Yes
Cognitive Level and Cognitive Change (Kulick et al. 2020)/WHICAP and NOMAS 5,330 (WHICAP); 1,093 (NOMAS)/northern Manhattan, New York, USA Yes Yes Yes Yes Yes Yes Yes
Cognitive Level and Cognitive Change (Tonne et al. 2014)/Whitehall II 2,867/Greater London, UK Yes Yes Yes Yes Yes
Cognitive Change (Cleary et al. 2018)/National AD Centers Database 5,116/USA Yes Yes Yes Yes
Cognitive Change (Colicino et al. 2014)/NAS 387/Greater Boston, USA Yes Yes Yes
Cognitive Change (Oudin et al. 2017)/Betula 1,469/Umeå, Sweden Yes Yes Yes
Cognitive Change (Petkus et al. 2020)/WHISCA 2,202/USA Yes Yes Yes
Cognitive Change (Petkus et al. 2021)/WHIMS-ECHO 1,583/USA Yes Yes Yes Yes
Cognitive Change (Weuve et al. 2012)/NHS 19,409/USA Yes Yes Yes Yes
Prevalent Dementia (Dimakakou et al. 2020)/UK Biobank 502,504/UK Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Ailshire and Walsemann 2021)/HRS 9,970 (year 2004); 9,185 (year 2014)/USA Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Carey et al. 2018)/CPRD 130,978/Greater London, UK Yes Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Cerza et al. 2019)/ Rome Longitudinal Cohort 350,844/Rome, Italy Yes Yes Yes Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Chang et al. 2014)/NHIRD Taiwan 29,547/Taiwan Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Chen et al. 2017a)/Ontario Population Health and Environment Cohort 2,066,639/Ontario, Canada Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Chen et al. 2017b)/Ontario Population Health and Environment Cohort 2,165,268/Ontario, Canada Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Grande et al. 2020)/SNAC-K 2,927/Kungsholmen district, Stockholm, Sweden Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (He et al. 2020)/ZJMPHS 7,311/Zhejiang province, China Yes Yes Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Ilango et al. 2020)/NPHS and CCHS participants 34,391/Ontario, Canada Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Jung et al. 2015)/NHIRD Taiwan 95,690/Taiwan Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Li et al. 2019)/NHIRD Taiwan 4,155/Taiwan Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Loop et al. 2013)/REGARDS 20,150/USA Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Oudin et al. 2016)/Betula 1,806/Umeå, Sweden Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Oudin et al. 2018)/Betula 1,806/Umeå, Sweden Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Paul et al. 2020)/SALSA 1,564/Sacramento Valley, California, USA Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Ran et al. 2021)/Chinese EHS 59,349/Hong Kong, China Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Shi et al. 2020)/Medicare fee-for-service beneficiaries 63,038,019/USA Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Smargiassi et al. 2020)/QICDSS 1,807,133 (Québec); 457,768 (Montreal)/Québec/Montreal, Canada Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Wang et al. 2020)/CLHLS 13,324/China Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Wu et al. 2015)/Case-control 871/northern Taiwan Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment (Yuchi et al. 2020)/MSP registry 633,949 (NAD analysis); 13,498 (AD analysis)/Metro Vancouver, Canada Yes Yes Yes Yes Yes
Incident Dementia or Other Incident Cognitive Impairment and Neuroimaging Level (Chen et al. 2017c)/WHIMS 1,403 (neuroimaging); 7,447 (incident dementia or cognitive impairment)/USA Yes Yes Yes Yes Yes Yes

Note: ACL, Americans’ Changing Lives; AD, Alzheimer’s disease; ALFA, Alzheimer’s and Family; API, air pollution index; ARIC, Atherosclerosis Risk in Communities; BPRHS, Boston Puerto Rican Health Study; BVAIT, B-Vitamin Atherosclerosis Intervention Trial; CCHS, Canadian Community Health Survey; CLHLS, Chinese Longitudinal Healthy Longevity Survey; CPRD, Clinical Practice Research Datalink; EHS, Elderly Health Service; ELITE, Early Versus Late Intervention Trial; ELSA-Brasil, Brazilian Longitudinal Study on Adult Health; ENSANUT-2012, Spanish acronym for National Survey of Health and Nutrition in Mexico in 2012; FOS, Framingham Offspring Study; Heinz Nixdorf RECALL, Heinz Nixdorf Risk factors, Evaluation of Coronary Calcium and Lifestyle study; HRS, Health and Retirement Study; ICD-9, International Classification of Diseases, Ninth Revision; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; IDEAS, Imaging Dementia – Evidence for Amyloid Scanning; KFACS, Korean Frailty and Aging Cohort Study; MADRC, Massachusetts Alzheimer’s Disease Research Center Longitudinal Cohort; MOBILIZE, Maintenance of Balance, Independent Living, Intellect, and Zest in the Elderly; MSP, Medical Service Plan; NAD, non-Alzheimer’s dementia; NAS, Normative Aging Study; NHANES III, Third National Health and Nutrition Examination Survey; NHIRD, National Health Insurance Research Database; NHS, Nurses’ Health Study;, nitrogen dioxide; NOx, nitrogen oxides; NOMAS, Northern Manhattan Study; NPHS, National Population Health Survey; NSHAP, National Social Health and Aging Study; PM, particulate matter; PM2.5, particulate matter with an aerodynamic diameter 2.5μm; PM10, particulate matter with an aerodynamic diameter 10μm; PM2.510, particulate matter with an aerodynamic diameter between 2.5 and 10 micrometers; QICDSS, Quebec Integrated Chronic Disease Surveillance System; REGARDS, Reasons for Geographic and Racial Differences in Stroke; SALIA, Study on the Influence of Air Pollution on Lung Function, Inflammation, and Aging; SALSA, Sacramento Area Latino Study on Aging; SNAC-K, Swedish National Study of Aging and Care in Kungsholmen; TIGER, Taiwan Institute for Geriatric Epidemiological Research; TLSA, Taiwanese Longitudinal Study on Aging; USA, United States of America; WHICAP, Washington Heights-Inwood Community Aging Project; WHIMS-ECHO, Women’s Health Initiative Memory Study of the Epidemiology of Cognitive Health Outcomes; WHIMS-MRI, Women’s Health Initiative Memory Study Magnetic Resonance Imaging Study; WHISCA, Women’s Health Initiative Study of Cognitive Aging; WISH, Women’s Isoflavone Soy Health; ZJMPHS, Zhejiang Major Public Health Surveillance.

a

Includes measures of distance to road, traffic intensity, black carbon, traffic-sourced particulate matter, and TRAP-NOx. Though NO2 and are often considered as traffic-related air pollution, we consider them separately.

b

Sample size varies by analysis. n=929 represents the largest reported sample size for primary analyses.