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Associations between neighborhood greenspace and brain imaging measures in non-demented older adults: the Cardiovascular Health Study

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Abstract

Purpose

Greater neighborhood greenspace has been associated with brain health, including better cognition and lower odds of Alzheimer’s disease in older adults. We investigated associations between neighborhood greenspace and brain-based magnetic resonance imaging (MRI) measures and potential effect modification by sex or apolipoprotein E genotype (APOE), a risk factor for Alzheimer’s disease.

Methods

We obtained a sample of non-demented participants 65 years or older (n = 1125) from the longitudinal, population-based Cardiovascular Health Study (CHS). Greenspace data were derived from the National Land Cover Dataset. Adjusted multivariable linear regression estimated associations between neighborhood greenspace five years prior to the MRI and left and right hippocampal volume and 10-point grades of ventricular size and burden of white matter hyperintensity. Interaction terms tested effect modification by APOE genotype and sex. CHS data (1989–1999) were obtained/analyzed in 2020.

Results

Participants were on average 79 years old [standard deviation (SD) = 4], 58% were female, and 11% were non-white race. Mean neighborhood greenspace was 38% (SD = 28%). Greater proportion of greenspace in the neighborhood five years before MRI was borderline associated with lower ventricle grade (estimate: − 0.30; 95% confidence interval: − 0.61, 0.00). We observed no associations between greenspace and the other MRI outcome measures and no evidence of effect modification by APOE genotype and sex.

Conclusion

This study suggests a possible association between greater greenspace and less ventricular enlargement, a measure reflecting global brain atrophy. If confirmed in other longitudinal cohort studies, interventions and policies to improve community greenspaces may help to maintain brain health in older age.

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References

  1. Clarke PJ, Ailshire JA, House JS, Morenoff JD, King K, Melendez R, Langa KM (2012) Cognitive function in the community setting: the neighbourhood as a source of “cognitive reserve”? J Epidemiol Community Health 66(8):730–736. https://doi.org/10.1136/jech.2010.128116

    Article  PubMed  Google Scholar 

  2. Wu YT, Prina AM, Jones AP, Barnes LE, Matthews FE, Brayne C, Study MRCCF, Ageing (2015) Community environment, cognitive impairment and dementia in later life: results from the Cognitive Function and Ageing Study. Age Ageing 44(6):1005–1011. https://doi.org/10.1093/ageing/afv137

    Article  PubMed  PubMed Central  Google Scholar 

  3. Brown SC, Perrino T, Lombard J, Wang K, Toro M, Rundek T, Gutierrez CM, Dong C, Plater-Zyberk E, Nardi MI, Kardys J, Szapocznik J (2018) Health disparities in the relationship of neighborhood greenness to mental health outcomes in 249,405 U.S. medicare beneficiaries. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph15030430

    Article  PubMed  PubMed Central  Google Scholar 

  4. Cherrie MPC, Shortt NK, Mitchell RJ, Taylor AM, Redmond P, Thompson CW, Starr JM, Deary IJ, Pearce JR (2018) Green space and cognitive ageing: A retrospective life course analysis in the Lothian Birth Cohort 1936. Soc Sci Med 196:56–65. https://doi.org/10.1016/j.socscimed.2017.10.038

    Article  PubMed  Google Scholar 

  5. de Keijzer C, Gascon M, Nieuwenhuijsen MJ, Dadvand P (2016) Long-term green space exposure and cognition across the life course: a systematic review. Curr Environ Health Rep 3(4):468–477. https://doi.org/10.1007/s40572-016-0116-x

    Article  PubMed  Google Scholar 

  6. de Keijzer C, Tonne C, Basagana X, Valentin A, Singh-Manoux A, Alonso J, Anto JM, Nieuwenhuijsen MJ, Sunyer J, Dadvand P (2018) Residential surrounding greenness and cognitive decline: a 10-year follow-up of the Whitehall II Cohort. Environ Health Perspect 126(7):077003. https://doi.org/10.1289/ehp2875

    Article  PubMed  PubMed Central  Google Scholar 

  7. Dadvand P, Nieuwenhuijsen MJ, Esnaola M, Forns J, Basagana X, Alvarez-Pedrerol M, Rivas I, Lopez-Vicente M, De Castro PM, Su J, Jerrett M, Querol X, Sunyer J (2015) Green spaces and cognitive development in primary schoolchildren. Proc Natl Acad Sci USA 112(26):7937–7942. https://doi.org/10.1073/pnas.1503402112

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Dadvand P, Pujol J, Macia D, Martinez-Vilavella G, Blanco-Hinojo L, Mortamais M, Alvarez-Pedrerol M, Fenoll R, Esnaola M, Dalmau-Bueno A, Lopez-Vicente M, Basagana X, Jerrett M, Nieuwenhuijsen MJ, Sunyer J (2018) The association between lifelong greenspace exposure and 3-dimensional brain magnetic resonance imaging in Barcelona schoolchildren. Environ Health Perspect 126(2):027012. https://doi.org/10.1289/ehp1876

    Article  PubMed  PubMed Central  Google Scholar 

  9. Dadvand P, Tischer C, Estarlich M, Llop S, Dalmau-Bueno A, Lopez-Vicente M, Valentin A, de Keijzer C, Fernandez-Somoano A, Lertxundi N, Rodriguez-Dehli C, Gascon M, Guxens M, Zugna D, Basagana X, Nieuwenhuijsen MJ, Ibarluzea J, Ballester F, Sunyer J (2017) lifelong residential exposure to green space and attention: a population-based prospective study. Environ Health Perspect 125(9):097016. https://doi.org/10.1289/ehp694

    Article  PubMed  PubMed Central  Google Scholar 

  10. Hartig T, Mitchell R, de Vries S, Frumkin H (2014) Nature and health. Annu Rev Public Health 35:207–228. https://doi.org/10.1146/annurev-publhealth-032013-182443

    Article  PubMed  Google Scholar 

  11. Crowe CL, Kannoth S, Andrews H, Strogatz D, Li G, DiGuiseppi C, Hill L, Eby DW, Molnar LJ, Mielenz TJ (2020) Associations of frailty status with low-mileage driving and driving cessation in a cohort of older drivers. Geriatrics (Basel). https://doi.org/10.3390/geriatrics5010019

    Article  Google Scholar 

  12. Cherrie MPC, Shortt NK, Ward Thompson C, Deary IJ, Pearce JR (2019) Association between the activity space exposure to parks in childhood and adolescence and cognitive aging in later life. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph16040632

    Article  PubMed  PubMed Central  Google Scholar 

  13. Yuchi W, Sbihi H, Davies H, Tamburic L, Brauer M (2020) Road proximity, air pollution, noise, green space and neurologic disease incidence: a population-based cohort study. Environ Health Glob Access Sci Source 19(1):8. https://doi.org/10.1186/s12940-020-0565-4

    Article  CAS  Google Scholar 

  14. Zhu A, Yan L, Shu C, Zeng Y, Ji JS (2020) APOE epsilon4 modifies effect of residential greenness on cognitive function among older adults: a longitudinal analysis in China. Sci Rep 10(1):82. https://doi.org/10.1038/s41598-019-57082-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zijlema WL, Triguero-Mas M, Smith G, Cirach M, Martinez D, Dadvand P, Gascon M, Jones M, Gidlow C, Hurst G, Masterson D, Ellis N, van den Berg M, Maas J, van Kamp I, van den Hazel P, Kruize H, Nieuwenhuijsen MJ, Julvez J (2017) The relationship between natural outdoor environments and cognitive functioning and its mediators. Environ Res 155:268–275. https://doi.org/10.1016/j.envres.2017.02.017

    Article  CAS  PubMed  Google Scholar 

  16. Besser LM, Hirsch J, Galvin JE, Renne J, Park J, Evenson KR, Kaufman JD, Fitzpatrick AL (2020) Associations between neighborhood park space and cognition in older adults vary by US location: the multi-ethnic study of atherosclerosis. Health Place 66:102459

    Article  Google Scholar 

  17. Slawsky E (2019) An evaluation of greenspace exposure as a protective factor in dementia risk among U.S. adults 75 years or older. University of Washington, Seattle, WA

    Google Scholar 

  18. Wang D, Lau KK, Yu R, Wong SYS, Kwok TTY, Woo J (2017) Neighbouring green space and mortality in community-dwelling elderly Hong Kong Chinese: a cohort study. BMJ open 7(7):e015794. https://doi.org/10.1136/bmjopen-2016-015794

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wu YT, Prina AM, Jones A, Matthews FE, Brayne C, Collaboration MRCCF, Study A (2017) The built environment and cognitive disorders: results from the cognitive function and ageing study II. Am J Prev Med. https://doi.org/10.1016/j.amepre.2016.11.020

    Article  PubMed  PubMed Central  Google Scholar 

  20. Wu YT, Prina AM, Jones AP, Barnes LE, Matthews FE, Brayne C, Medical Research Council Cognitive F, Ageing S (2015) Community environment, cognitive impairment and dementia in later life: results from the Cognitive Function and Ageing Study. Age Ageing 44(6):1005–1011. https://doi.org/10.1093/ageing/afv137

    Article  PubMed  PubMed Central  Google Scholar 

  21. Yu R, Wang D, Leung J, Lau K, Kwok T, Woo J (2018) Is Neighborhood Green Space Associated With Less Frailty? Evidence From the Mr. and Ms. Os (Hong Kong) Study. J Am Med Directors Assoc 19(6):528–534. https://doi.org/10.1016/j.jamda.2017.12.015

    Article  Google Scholar 

  22. Kirk-Sanchez NJ, McGough EL (2014) Physical exercise and cognitive performance in the elderly: current perspectives. Clin Interv Aging 9:51–62. https://doi.org/10.2147/CIA.S39506

    Article  PubMed  Google Scholar 

  23. Lupien SJ, Maheu F, Tu M, Fiocco A, Schramek TE (2007) The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain Cogn 65(3):209–237. https://doi.org/10.1016/j.bandc.2007.02.007

    Article  CAS  PubMed  Google Scholar 

  24. Barnes DE, Alexopoulos GS, Lopez OL, Williamson JD, Yaffe K (2006) Depressive symptoms, vascular disease, and mild cognitive impairment: findings from the Cardiovascular Health Study. Arch Gen Psychiatry 63(3):273–279. https://doi.org/10.1001/archpsyc.63.3.273

    Article  PubMed  Google Scholar 

  25. Ribeiro AI, Pires A, Carvalho MS, Pina MF (2015) Distance to parks and non-residential destinations influences physical activity of older people, but crime doesn’t: a cross-sectional study in a southern European city. BMC Public Health 15:593. https://doi.org/10.1186/s12889-015-1879-y

    Article  PubMed  PubMed Central  Google Scholar 

  26. Sugiyama T, Shibata A, Koohsari MJ, Tanamas SK, Oka K, Salmon J, Dunstan DW, Owen N (2015) Neighborhood environmental attributes and adults’ maintenance of regular walking. Med Sci Sports Exerc 47(6):1204–1210. https://doi.org/10.1249/MSS.0000000000000528

    Article  PubMed  Google Scholar 

  27. Wu YT, Prina AM, Jones A, Matthews FE, Brayne C, Mrc C (2015) Older people, the natural environment and common mental disorders: cross-sectional results from the Cognitive Function and Ageing Study. BMJ Open 5(9):e007936. https://doi.org/10.1136/bmjopen-2015-007936

    Article  PubMed  PubMed Central  Google Scholar 

  28. Pun VC, Manjourides J, Suh HH (2018) Association of neighborhood greenness with self-perceived stress, depression and anxiety symptoms in older U.S adults. Environ Health 17(1):39. https://doi.org/10.1186/s12940-018-0381-2

    Article  PubMed  PubMed Central  Google Scholar 

  29. Sarkar C, Webster C, Gallacher J (2018) Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94 879 adult UK Biobank participants. Lancet Planet Health 2(4):e162–e173. https://doi.org/10.1016/S2542-5196(18)30051-2

    Article  PubMed  Google Scholar 

  30. Cleary EG, Cifuentes M, Grinstein G, Brugge D, Shea TB (2018) Association of low-level ozone with cognitive decline in older adults. J Alzheimers Dis 61(1):67–78. https://doi.org/10.3233/JAD-170658

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Tonne C, Elbaz A, Beevers S, Singh-Manoux A (2014) Traffic-related air pollution in relation to cognitive function in older adults. Epidemiology 25(5):674–681. https://doi.org/10.1097/EDE.0000000000000144

    Article  PubMed  PubMed Central  Google Scholar 

  32. Barwise Y, Kumar P (2020) Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection. Npj Clim Atmos Sci. https://doi.org/10.1038/s41612-020-0115-3

    Article  Google Scholar 

  33. Cerin E, Baranowski T, Barnett A, Butte N, Hughes S, Lee RE, Mendoza JA, Thompson D, O’Connor TM (2016) Places where preschoolers are (in)active: an observational study on Latino preschoolers and their parents using objective measures. Int J Behav Nutr Phys Act 13:29. https://doi.org/10.1186/s12966-016-0355-0

    Article  PubMed  PubMed Central  Google Scholar 

  34. Chaddock-Heyman L, Erickson KI, Voss MW, Powers JP, Knecht AM, Pontifex MB, Drollette ES, Moore RD, Raine LB, Scudder MR, Hillman CH, Kramer AF (2013) White matter microstructure is associated with cognitive control in children. Biol Psychol 94(1):109–115. https://doi.org/10.1016/j.biopsycho.2013.05.008

    Article  PubMed  PubMed Central  Google Scholar 

  35. Krafft CE, Schaeffer DJ, Schwarz NF, Chi L, Weinberger AL, Pierce JE, Rodrigue AL, Allison JD, Yanasak NE, Liu T, Davis CL, McDowell JE (2014) Improved frontoparietal white matter integrity in overweight children is associated with attendance at an after-school exercise program. Dev Neurosci 36(1):1–9. https://doi.org/10.1159/000356219

    Article  CAS  PubMed  Google Scholar 

  36. Chandrabose M, Rachele JN, Gunn L, Kavanagh A, Owen N, Turrell G, Giles-Corti B, Sugiyama T (2019) Built environment and cardio-metabolic health: systematic review and meta-analysis of longitudinal studies. Obes Rev 20(1):41–54. https://doi.org/10.1111/obr.12759

    Article  CAS  PubMed  Google Scholar 

  37. Fletcher E, Gavett B, Harvey D, Farias ST, Olichney J, Beckett L, DeCarli C, Mungas D (2018) Brain volume change and cognitive trajectories in aging. Neuropsychology 32(4):436–449. https://doi.org/10.1037/neu0000447

    Article  PubMed  PubMed Central  Google Scholar 

  38. Nestor SM, Rupsingh R, Borrie M, Smith M, Accomazzi V, Wells JL, Fogarty J, Bartha R, Alzheimer’s Disease Neuroimaging I (2008) Ventricular enlargement as a possible measure of Alzheimer’s disease progression validated using the Alzheimer’s disease neuroimaging initiative database. Brain 131(Pt 9):2443–2454. https://doi.org/10.1093/brain/awn146

    Article  PubMed  PubMed Central  Google Scholar 

  39. Cerin E, Rainey-Smith SR, Ames D, Lautenschlager NT, Macaulay SL, Fowler C, Robertson JS, Rowe CC, Maruff P, Martins RN, Masters CL, Ellis KA (2017) Associations of neighborhood environment with brain imaging outcomes in the Australian Imaging Biomarkers and Lifestyle cohort. Alzheimers Dement 13(4):388–398. https://doi.org/10.1016/j.jalz.2016.06.2364

    Article  PubMed  Google Scholar 

  40. Kuhn S, Duzel S, Eibich P, Krekel C, Wustemann H, Kolbe J, Martensson J, Goebel J, Gallinat J, Wagner GG, Lindenberger U (2017) In search of features that constitute an “enriched environment” in humans: associations between geographical properties and brain structure. Sci Rep. https://doi.org/10.1038/s41598-017-12046-7

    Article  PubMed  PubMed Central  Google Scholar 

  41. Apostolova LG, Green AE, Babakchanian S, Hwang KS, Chou YY, Toga AW, Thompson PM (2012) Hippocampal atrophy and ventricular enlargement in normal aging, mild cognitive impairment (MCI), and Alzheimer Disease. Alzheimer Dis Assoc Disord 26(1):17–27. https://doi.org/10.1097/WAD.0b013e3182163b62

    Article  PubMed  PubMed Central  Google Scholar 

  42. Bangen KJ, Preis SR, Delano-Wood L, Wolf PA, Libon DJ, Bondi MW, Au R, DeCarli C, Brickman AM (2018) Baseline white matter hyperintensities and hippocampal volume are associated with conversion from normal cognition to mild cognitive impairment in the framingham offspring study. Alzheimer Dis Assoc Disord 32(1):50–56. https://doi.org/10.1097/WAD.0000000000000215

    Article  PubMed  PubMed Central  Google Scholar 

  43. Fried LP, Borhani NO, Enright P, Furberg CD, Gardin JM, Kronmal RA, Kuller LH, Manolio TA, Mittelmark MB, Newman A et al (1991) The Cardiovascular Health Study: design and rationale. Ann Epidemiol 1(3):263–276. https://doi.org/10.1016/1047-2797(91)90005-w

    Article  CAS  PubMed  Google Scholar 

  44. Yue NC, Arnold AM, Longstreth WT Jr, Elster AD, Jungreis CA, O’Leary DH, Poirier VC, Bryan RN (1997) Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study. Radiology 202(1):33–39. https://doi.org/10.1148/radiology.202.1.8988189

    Article  CAS  PubMed  Google Scholar 

  45. Bryan RN, Manolio TA, Schertz LD, Jungreis C, Poirier VC, Elster AD, Kronmal RA (1994) A method for using MR to evaluate the effects of cardiovascular disease on the brain: the cardiovascular health study. AJNR Am J Neuroradiol 15(9):1625–1633

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Kuller LH, Arnold AM, Longstreth WT Jr, Manolio TA, O’Leary DH, Burke GL, Fried LP, Newman AB (2007) White matter grade and ventricular volume on brain MRI as markers of longevity in the cardiovascular health study. Neurobiol Aging 28(9):1307–1315. https://doi.org/10.1016/j.neurobiolaging.2006.06.010

    Article  PubMed  Google Scholar 

  47. Raji CA, Lopez OL, Kuller LH, Carmichael OT, Becker JT (2009) Age, Alzheimer disease, and brain structure. Neurology 73(22):1899–1905. https://doi.org/10.1212/WNL.0b013e3181c3f293

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Raji CA, Lopez OL, Kuller LH, Carmichael OT, Longstreth WT, Jr., Gach HM, Boardman J, Bernick CB, Thompson PM, Becker JT (2012) White matter lesions and brain gray matter volume in cognitively normal elders. Neurobiol Aging 33 (4):834 e837–816. doi:https://doi.org/10.1016/j.neurobiolaging.2011.08.010

  49. Wickham J, Homer C, Vogelmann J, McKerrow A, Mueller R, Herold N, Coulston J (2014) The multi-resolution land characteristics (mrlc) consortium-20 years of development and integration of USA national land cover data. Remote Sens-Basel 6(8):7424–7441. https://doi.org/10.3390/rs6087424

    Article  Google Scholar 

  50. Multi-Resolution Land Characteristics (MRLC) Consortium. https://www.mrlc.gov/. Accessed 03/28/2020

  51. Yang Y, Diez-Roux AV (2012) Walking distance by trip purpose and population subgroups. Am J Prev Med 43(1):11–19. https://doi.org/10.1016/j.amepre.2012.03.015

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Talen E (1998) Visualizing Fairness: Equity Maps for Planners. Journal of the American Planning Association 64:22–38

    Article  Google Scholar 

  53. Kuller LH, Shemanski L, Manolio T, Haan M, Fried L, Bryan N, Burke GL, Tracy R, Bhadelia R (1998) Relationship between ApoE, MRI findings, and cognitive function in the Cardiovascular Health Study. Stroke 29(2):388–398. https://doi.org/10.1161/01.str.29.2.388

    Article  CAS  PubMed  Google Scholar 

  54. Taylor HL, Jacobs DR Jr, Schucker B, Knudsen J, Leon AS, Debacker G (1978) A questionnaire for the assessment of leisure time physical activities. J Chronic Dis 31(12):741–755. https://doi.org/10.1016/0021-9681(78)90058-9

    Article  CAS  PubMed  Google Scholar 

  55. Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1:385–401

    Article  Google Scholar 

  56. Ives DG, Fitzpatrick AL, Bild DE, Psaty BM, Kuller LH, Crowley PM, Cruise RG, Theroux S (1995) Surveillance and ascertainment of cardiovascular events. Cardiovasc Health Study Ann Epidemiol 5(4):278–285. https://doi.org/10.1016/1047-2797(94)00093-9

    Article  CAS  Google Scholar 

  57. Carmichael OT, Kuller LH, Lopez OL, Thompson PM, Dutton RA, Lu A, Lee SE, Lee JY, Aizenstein HJ, Meltzer CC, Liu Y, Toga AW, Becker JT (2007) Ventricular volume and dementia progression in the Cardiovascular Health Study. Neurobiol Aging 28(3):389–397. https://doi.org/10.1016/j.neurobiolaging.2006.01.006

    Article  PubMed  Google Scholar 

  58. Coupé P, Manjón JV, Lanuza E, Catheline G (2019) Lifespan changes of the human brain In Alzheimer’s Disease. Scientific reports 9:3998

    Article  Google Scholar 

  59. Gernes R, Brokamp C, Rice GE, Wright JM, Kondo MC, Michael YL, Donovan GH, Gatziolis D, Bernstein D, LeMasters GK, Lockey JE, Khurana Hershey GK, Ryan PH (2019) Using high-resolution residential greenspace measures in an urban environment to assess risks of allergy outcomes in children. Sci Total Environ 668:760–767. https://doi.org/10.1016/j.scitotenv.2019.03.009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Graziose MM, Gray HL, Quinn J, Rundle AG, Contento IR, Koch PA (2016) Association between the built environment in school neighborhoods with physical activity among New York City Children, 2012. Prev Chronic Dis 13:E110. https://doi.org/10.5888/pcd13.150581

    Article  PubMed  PubMed Central  Google Scholar 

  61. Sheline YI, Wang PW, Gado MH, Csernansky JG, Vannier MW (1996) Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci U S A 93(9):3908–3913. https://doi.org/10.1073/pnas.93.9.3908

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Zhang W, He X, Liu S, Li T, Li J, Tang X, Lai S (2019) Neural correlates of appreciating natural landscape and landscape garden: Evidence from an fMRI study. Brain Behav 9(7):e01335. https://doi.org/10.1002/brb3.1335

    Article  PubMed  PubMed Central  Google Scholar 

  63. Markevych I, Schoierer J, Hartig T, Chudnovsky A, Hystad P, Dzhambov AM, de Vries S, Triguero-Mas M, Brauer M, Nieuwenhuijsen MJ, Lupp G, Richardson EA, Astell-Burt T, Dimitrova D, Feng X, Sadeh M, Standl M, Heinrich J, Fuertes E (2017) Exploring pathways linking greenspace to health: Theoretical and methodological guidance. Environ Res 158:301–317. https://doi.org/10.1016/j.envres.2017.06.028

    Article  CAS  PubMed  Google Scholar 

  64. Hunter AJ, Luck GW (2015) Defining and measuring the social-ecological quality of urban greenspace: a semi-systematic review. Urban Ecosyst 18(4):1139–1163. https://doi.org/10.1007/s11252-015-0456-6

    Article  Google Scholar 

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Acknowledgments

This research was supported by contracts HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N01HC15103, and grants U01HL080295 and U01HL130114 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 and R01AG15928 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. This work was supported by the National Institute of Aging (grants 1R01AG049970, 3R01AG049970-04S1), Commonwealth Universal Research Enhancement (C.U.R.E) program funded by the Pennsylvania Department of Health—2015 Formula award—SAP #4100072543, the Urban Health Collaborative at Drexel University, and the Built Environment and Health Research Group at Columbia University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. No authors have conflicts of interest to disclose and the following authors have funding support: Dr. Besser (NIH/NIA K01AG063895), Yvonne Michael (NIH/NIA 3R01AG049970-04S1), Phil Hurvitz NIH grants R01DK076608, R01CA178343, R01AG049970, R01DK114196, R01HD091089, R01NR016942), James Galvin (NIA/NIH Grants R01AG040211, R01NS101483.William Longstreth is co-investigator on several NIH-funded studies, including the CHS, and serves as a co-PI for the NIH-funded ARCADIA trial, which receives in-kind study drug from the BMS-Pfizer Alliance and ancillary funding from Roche Diagnostics

Funding

Lilah Besser is supported by NIH/NIA award K01AG063895. Yvonne Michael is supported by National Institute on Aging (3R01AG049970-04S1). Phil Hurvitz is supported by NIH grants R01DK076608, R01CA178343, R01AG049970, R01DK114196, R01HD091089, and R01NR016942. James Galvin is supported by NIA/NIH Grants R01AG040211 and R01NS101483. William Longstreth co-investigator on several NIH-funded studies, including the CHS, and serves as a co-PI for the NIH-funded ARCADIA trial. Jana Hirsch and Gina Lovasi are supported by the National Institute on Aging (1R01AG049970, 3R01AG049970-04S1), Commonwealth Universal Research Enhancement (C.U.R.E) program funded by the Pennsylvania Department of Health—2015 Formula award—SAP #4100072543, the Urban Health Collaborative at Drexel University, and the Built Environment and Health Research Group at Columbia University. The remaining authors have no funding to disclose.

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Correspondence to Lilah M. Besser.

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Lilah Besser has no conflict of interest. Gina Lovasi has no conflict of interest. Yvonne Michael has no conflict of interest. Parveen Garg has no conflict of interest. Jana Hirsch has no conflict of interest. David Siscovick has no conflict of interest. Phil Hurvitz has no conflict of interest. Mary Lou Biggs has no conflict of interest. James Galvin has no conflict of interest. Traci Bartz has no conflict of interest. William Longstreth serves as a co-PI for the NIH-funded ARCADIA trial, which receives in-kind study drug from the BMS-Pfizer Alliance and ancillary funding from Roche Diagnostics.

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Besser, L.M., Lovasi, G.S., Michael, Y. et al. Associations between neighborhood greenspace and brain imaging measures in non-demented older adults: the Cardiovascular Health Study. Soc Psychiatry Psychiatr Epidemiol 56, 1575–1585 (2021). https://doi.org/10.1007/s00127-020-02000-w

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