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Fine particle sources and cognitive function in an older Puerto Rican cohort in Greater Boston

Wurth, Renee, Kioumourtzoglou, Marianthi-Anna, Tucker, Katherine L., Griffith, John, Manjourides, Justin, Suh, Helen·2018·Environmental Epidemiology

Abstract

Background: Puerto Ricans living in the mainland US have substantially higher rates of impairment to cognitive performance as compared to non-Hispanic Whites, with air pollutant exposures a potential risk factor. We investigated whether exposures to specific air pollution sources were associated with performance across several cognitive domains in a cohort of Puerto Rican older adults. Objectives: To investigate the association between sources of fine particulate matter (PM 2.5 ) and cognitive performance in each of five cognitive domains. Methods: We obtained demographic, health, and cognitive function data for 1500 elderly participants of the Boston Puerto Rican Health Study. Cognitive function was assessed in each of two waves for five domains: verbal memory, recognition, mental processing, and executive and visuospatial function. To these data, we linked concentrations of PM 2.5 and its components, black carbon (BC), nickel, sulfur, and silicon, as tracers for PM 2.5 from traffic, oil combustion, coal combustion, and resuspended dust, respectively. Associations between each PM 2.5 component and cognitive domain were examined using linear mixed models. Results: One year moving average exposures to BC were significantly associated with decreased verbal memory (−0.38; 95% confidence interval [CI] = −0.46, −0.30), recognition (−0.35; 95% CI = −0.46, −0.25), mental processing (−1.14; 95% CI = −1.55, −0.74), and executive function (−0.94; 95% CI = −1.31, −0.56). Similar associations were found for nickel. Associations for sulfur, and silicon, and PM 2.5 were generally null, although sulfur (−0.51; 95% CI = −0.75, −0.28), silicon (−0.25; 95% CI = −0.36, −0.13), and PM 2.5 (−0.35; 95% CI = −0.57, −0.12) were associated with decreased recognition. Conclusion: Long-term exposures to BC and nickel, tracers of traffic and oil combustion, respectively, were associated with decreased cognitive function across all domains, except visuospatial function.

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Research works printed but not linked: 62

  1. Ward, 2012, Mild cognitive impairment: disparity of incidence and prevalence estimates., Alzheimers Dement, 8, 14, 10.1016/j.jalz.2011.01.002 · DOI · Paper page
  2. Tucker, 2010, The Boston Puerto Rican Health Study, a longitudinal cohort study on health disparities in Puerto Rican adults: challenges and opportunities., BMC Public Health, 10, 107, 10.1186/1471-2458-10-107 · DOI
  3. Hajat, 2000, Health outcomes among Hispanic subgroups: data from the National Health Interview Survey, 1992–95., Adv Data, 1
  4. Barnes, 2009, Predicting risk of dementia in older adults. The late-life dementia risk index., Neurology, 73, 173, 10.1212/WNL.0b013e3181a81636 · DOI
  5. Breteler, 2000, Vascular risk factors for Alzheimer’s disease: an epidemiologic perspective., Neurobiol Aging, 21, 153, 10.1016/S0197-4580(99)00110-4 · DOI · Paper page
  6. Bell, 2012, Environmental inequality in exposures to airborne particulate matter components in the United States., Environ Health Perspect, 120, 1699, 10.1289/ehp.1205201 · DOI
  7. Brook, 2010, Particulate matter air pollution and cardiovascular disease., Circulation, 121, 2331, 10.1161/CIR.0b013e3181dbece1 · DOI · Paper page
  8. Dominici, 2006, Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases., JAMA, 295, 1127, 10.1001/jama.295.10.1127 · DOI
  9. Clifford, 2016, Exposure to air pollution and cognitive functioning across the life course: a systematic literature review., Environ Res, 147, 383, 10.1016/j.envres.2016.01.018 · DOI
  10. Power, 2011, Traffic-related air pollution and cognitive function in a cohort of older men., Environ Health Perspect, 119, 682, 10.1289/ehp.1002767 · DOI
  11. Power, 2016, Exposure to air pollution as a potential contributor to cognitive function, cognitive decline, brain imaging, and dementia: a systematic review of epidemiologic research., Neurotoxicology, 56, 235, 10.1016/j.neuro.2016.06.004 · DOI · Paper page
  12. Ranft, 2009, Long-term exposure to traffic-related particulate matter impairs cognitive function in the elderly., Environ Res, 109, 1004, 10.1016/j.envres.2009.08.003 · DOI · Paper page
  13. Tzivian, 2015, Effect of long-term outdoor air pollution and noise on cognitive and psychological functions in adults., Int J Hyg Environ Health, 218, 1, 10.1016/j.ijheh.2014.08.002 · DOI
  14. Weuve, 2012, Exposure to particulate air pollution and cognitive decline in older women., Arch Intern Med, 172, 219, 10.1001/archinternmed.2011.683 · DOI
  15. Ailshire, 2014, Fine particulate matter air pollution and cognitive function among older US adults., Am J Epidemiol, 180, 359, 10.1093/aje/kwu155 · DOI
  16. Ailshire, 2015, Fine particulate matter air pollution and cognitive function among US older adults., Journals Gerontol Ser B Psychol Sci Soc Sci, 70, 322
  17. Bell, 2014, Associations of PM2.5 constituents and sources with hospital admissions: analysis of four counties in Connecticut and Massachusetts (USA) for persons> or= 65 years of age., Environ Heal Perspect, 122, 138, 10.1289/ehp.1306656 · DOI
  18. Kim, 2012, The temporal lag structure of short-term associations of fine particulate matter chemical constituents and cardiovascular and respiratory hospitalizations., Environ Health Perspect, 120, 1094, 10.1289/ehp.1104721 · DOI
  19. Lall, 2011, Distributed lag analyses of daily hospital admissions and source-apportioned fine particle air pollution., Environ Health Perspect, 119, 455, 10.1289/ehp.1002638 · DOI
  20. Peng, 2009, Emergency admissions for cardiovascular and respiratory diseases and the chemical composition of fine particle air pollution., Environ Health Perspect, 117, 957, 10.1289/ehp.0800185 · DOI
  21. Kioumourtzoglou, 2014, Exposure measurement error in PM 2.5 health effects studies: a pooled analysis of eight personal exposure validation studies., Environ Heal, 13, 2, 10.1186/1476-069X-13-2 · DOI
  22. Ranft, 2009, Long-term exposure to traffic-related particulate matter impairs cognitive function in the elderly., Environ Res, 109, 1004, 10.1016/j.envres.2009.08.003 · DOI · Paper page
  23. Wellenius, 2012, Residential proximity to nearest major roadway and cognitive function in community-dwelling seniors: results from the MOBILIZE Boston study., J Am Geriatr Soc, 60, 2075, 10.1111/j.1532-5415.2012.04195.x · DOI
  24. Gatto, 2014, Components of air pollution and cognitive function in middle-aged and older adults in Los Angeles., Neurotoxicology, 40, 1, 10.1016/j.neuro.2013.09.004 · DOI
  25. Golden, 1976, Identification of brain disorders by the Stroop Color and Word Test., J Clin Psychol, 32, 654, 10.1002/1097-4679(197607)32:3<654::AID-JCLP2270320336>3.0.CO;2-Z · DOI
  26. Shulman, 2000, Clock drawing: is it the ideal cognitive screening test?, Int J Geriatr Psychiatry, 15, 548, 10.1002/1099-1166(200006)15:6<548::AID-GPS242>3.0.CO;2-U · DOI
  27. Rabin, 2005, Assessment practices of clinical neuropsychologists in the United States and Canada: A survey of INS, NAN, and APA Division 40 members., Arch Clin Neuropsychol, 20, 33, 10.1016/j.acn.2004.02.005 · DOI
  28. Delis, 1988, Integrating clinical assessment with cognitive neuroscience: construct validation of the California Verbal Learning Test., J Consult Clin Psychol, 56, 123, 10.1037/0022-006X.56.1.123 · DOI
  29. Fox, 1998, Severity of cognitive impairment in Alzheimer’s disease affects list learning using the California Verbal Learning Test (CVLT)., Int J Geriatr Psychiatry, 13, 544, 10.1002/(SICI)1099-1166(199808)13:8<544::AID-GPS821>3.0.CO;2-N · DOI
  30. Wiegner, 1999, Performance on the California Verbal Learning Test after traumatic brain injury., J Clin Exp Neuropsychol, 21, 159, 10.1076/jcen.21.2.159.925 · DOI
  31. Delis, 1991, Profiles of demented and amnesic patients on the California Verbal Learning Test: implications for the assessment of memory disorders., Psychol Assess A J Consult Clin Psychol, 3, 19
  32. MacLeod, 1991, Half a century of research on the Stroop effect: an integrative review., Psychol Bull, 109, 163, 10.1037/0033-2909.109.2.163 · DOI · Paper page
  33. Perugini, 2000, The predictive power of combined neuropsychological measures for attention-deficit/hyperactivity disorder in children., Child Neuropsychol, 6, 101, 10.1076/chin.6.2.101.7059 · DOI
  34. Jensen, 1965, Scoring the stroop test 1., Acta Psyc, 10, 398, 10.1016/0001-6918(65)90024-7 · DOI
  35. Gladsjo, 1999, Norms for letter and category fluency: demographic corrections for age, education, and ethnicity., Assessment, 6, 147, 10.1177/107319119900600204 · DOI
  36. Pettit, 2013, Heterogeneity of letter fluency impairment and executive dysfunction in Parkinson’s disease., J Int Neuropsychol Soc, 19, 986, 10.1017/S1355617713000829 · DOI
  37. Juby, 2002, The value of clock drawing in identifying executive cognitive dysfunction in people with a normal Mini-Mental State Examination score., Can Med Assoc J, 167, 859
  38. Lafleche, 1995, Executive function deficits in mild Alzheimer’s disease., Neuropsychology, 9, 313, 10.1037/0894-4105.9.3.313 · DOI
  39. Kioumourtzoglou, 2014, The impact of source contribution uncertainty on the effects of source-specific PM2. 5 on hospital admissions: a case study in Boston, MA., J Expo Sci Environ Epidemiol, 24, 365, 10.1038/jes.2014.7 · DOI
  40. Chen, 2009, Neurobehavioral effects of ambient air pollution on cognitive performance in US adults., Neurotoxicology, 30, 231, 10.1016/j.neuro.2008.12.011 · DOI
  41. Suglia, 2008, Association between traffic-related black carbon exposure and lung function among urban women., Environ Health Perspect, 116, 1333, 10.1289/ehp.11223 · DOI
  42. Ivnik, 1996, Neuropsychological tests’ norms above age 55: COWAT, BNT, MAE token, WRAT-R reading, AMNART, STROOP, TMT, and JLO., Clin Neuropsychol, 10, 262, 10.1080/13854049608406689 · DOI
  43. Norman, 2000, Demographically corrected norms for the California Verbal Learning Test., J Clin Exp Neuropsychol, 22, 80, 10.1076/1380-3395(200002)22:1;1-8;FT080 · DOI
  44. Dempster, 1977, Maximum likelihood from incomplete data via the EM algorithm., J R Stat Soc B, 39, 1, 10.1111/j.2517-6161.1977.tb01600.x · DOI · Paper page
  45. Yim, Imputing missing data using SAS., In SAS global forum 2015, 3295, 26
  46. Dai, 2016, Cognitive function and short-term exposure to residential air temperature: a repeated measures study based on spatiotemporal estimates of temperature., Environ Res, 150, 446, 10.1016/j.envres.2016.06.036 · DOI · Paper page
  47. Chang, 2014, Increased risk of dementia in patients exposed to nitrogen dioxide and carbon monoxide: a population-based retrospective cohort study., PLoS One, 9, e103078, 10.1371/journal.pone.0103078 · DOI
  48. Basagana, 2016, Neurodevelopmental deceleration by urban fine particles from different emission sources: a longitudinal observational study., Environ Heal Perspect, 124, 1630, 10.1289/EHP209 · DOI
  49. Dominici, 2007, Particulate air pollution and mortality in the United States: did the risks change from 1987 to 2000?, Am J Epidemiol, 166, 880, 10.1093/aje/kwm222 · DOI · Paper page
  50. Franklin, 2008, The role of particle composition on the association between PM2. 5 and mortality., Epidemiology, 19, 680, 10.1097/EDE.0b013e3181812bb7 · DOI
  51. Lippmann, 2006, Cardiovascular effects of nickel in ambient air., Environ Health Perspect, 114, 1662, 10.1289/ehp.9150 · DOI
  52. Ghio, 2002, Biologic effects of oil fly ash., Environ Health Perspect, 110, 89, 10.1289/ehp.02110s1189 · DOI
  53. Lippmann, 2007, Health effects of airborne particulate matter., N Engl J Med, 357, 2395, 10.1056/NEJMe0706955 · DOI
  54. Block, 2009, Air pollution: mechanisms of neuroinflammation and CNS disease., Trends Neurosci, 32, 506, 10.1016/j.tins.2009.05.009 · DOI
  55. Calderón-Garcidueñas, 2008, Air pollution, cognitive deficits and brain abnormalities: A pilot study with children and dogs., Brain Cogn, 68, 117, 10.1016/j.bandc.2008.04.008 · DOI
  56. Calderón-Garcidueñas, 2004, Brain Inflammation and Alzheimer’s-Like Pathology in Individuals Exposed to Severe Air Pollution., Toxicol Pathol, 32, 650, 10.1080/01926230490520232 · DOI
  57. Alexander, 2003, California Verbal Learning Test: performance by patients with focal frontal and non frontal lesions., Brain, 126, 1493, 10.1093/brain/awg128 · DOI
  58. Tranel, 2008, Does the Clock Drawing Test have focal neuroanatomical correlates?, Neuropsychology, 22, 553, 10.1037/0894-4105.22.5.553 · DOI
  59. Schikowski, 2015, Association of air pollution with cognitive functions and its modification by APOE gene variants in elderly women., Environ Res, 142, 10, 10.1016/j.envres.2015.06.009 · DOI
  60. Tonne, 2014, Traffic-related air pollution in relation to cognitive function in older adults., Epidemiology, 25, 674, 10.1097/EDE.0000000000000144 · DOI
  61. Calderón-Garcidueñas, 2004, Brain inflammation and Alzheimer’s-like pathology in individuals exposed to severe air pollution., Toxicol Pathol, 32, 650, 10.1080/01926230490520232 · DOI
  62. Maynard, 2007, Mortality risk associated with short-term exposure to traffic particles and sulfates., Environ Health Perspect, 115, 751, 10.1289/ehp.9537 · DOI

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Metadata

Authors
Wurth, R., Kioumourtzoglou, M.-A., Tucker, K. L., Griffith, J., Manjourides, J., & Suh, H.
Affiliations
  • Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
  • Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
  • Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, Massachusetts
  • Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts
Venue
Environmental Epidemiology
Published
2018-09
Volume
2
Issue
3
Pages
e022
ISSN
2474-7882
Cited by
38
References
3
Language
en

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