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 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Traffic-related air pollutiona | Wood-burning PM | or | 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; , nitrogen oxides; NOMAS, Northern Manhattan Study; NPHS, National Population Health Survey; NSHAP, National Social Health and Aging Study; PM, particulate matter; , particulate matter with an aerodynamic diameter ; , particulate matter with an aerodynamic diameter ; , 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.
Includes measures of distance to road, traffic intensity, black carbon, traffic-sourced particulate matter, and . Though and are often considered as traffic-related air pollution, we consider them separately.
Sample size varies by analysis. represents the largest reported sample size for primary analyses.