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Residential neighborhood greenery and children's cognitive development

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  • Reuben, Aaron
  • Arseneault, Louise
  • Belsky, Daniel W.
  • Caspi, Avshalom
  • Fisher, Helen L.
  • Houts, Renate M.
  • Moffitt, Terrie E.
  • Odgers, Candice

Abstract

Children who grow up in neighborhoods with more green vegetation show enhanced cognitive development in specific domains over short timespans. However, it is unknown if neighborhood greenery per se is uniquely predictive of children's overall cognitive development measured across many years. The E-Risk Longitudinal Study, a nationally representative 1994-5 birth-cohort of children in Britain (n = 1658 urban and suburban-dwelling participants), was used to test whether residential neighborhood greenery uniquely predicts children's cognitive development across childhood and adolescence. Greenery exposure was assessed from ages 5 to 18 using the satellite imagery-based normalized difference vegetation index (NDVI) in 1-mile buffers around the home. Fluid and crystalized intellectual performance was assessed in the home at ages 5, 12, and 18 using the Wechsler Intelligence Scale, and executive function, working memory, and attention ability were assessed in the home at age 18 using the Cambridge Neuropsychological Test Automated Battery. Children living in residences surrounded by more neighborhood greenery scored significantly higher, on average, on IQ measures at all ages. However, the association between greenery and cognitive measures did not hold after accounting for family or neighborhood socioeconomic status. After adjustment for study covariates, child greenery exposure was not a significant predictor of longitudinal increases in IQ across childhood and adolescence or of executive function, working memory, or attention ability at age 18. Children raised in greener neighborhoods exhibit better overall cognitive ability, but the association is likely accounted for by family and neighborhood socioeconomic factors.

Suggested Citation

  • Reuben, Aaron & Arseneault, Louise & Belsky, Daniel W. & Caspi, Avshalom & Fisher, Helen L. & Houts, Renate M. & Moffitt, Terrie E. & Odgers, Candice, 2019. "Residential neighborhood greenery and children's cognitive development," Social Science & Medicine, Elsevier, vol. 230(C), pages 271-279.
    • Handle: RePEc:eee:socmed:v:230:y:2019:i:c:p:271-279
    DOI: 10.1016/j.socscimed.2019.04.029
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    References listed on IDEAS

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    1. Jeffrey S. Zax & Daniel I. Rees, 2002. "IQ, Academic Performance, Environment, and Earnings," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 600-616, November.
    2. Frank Dudbridge, 2013. "Power and Predictive Accuracy of Polygenic Risk Scores," PLOS Genetics, Public Library of Science, vol. 9(3), pages 1-17, March.
    3. de Vries, Sjerp & van Dillen, Sonja M.E. & Groenewegen, Peter P. & Spreeuwenberg, Peter, 2013. "Streetscape greenery and health: Stress, social cohesion and physical activity as mediators," Social Science & Medicine, Elsevier, vol. 94(C), pages 26-33.
    4. Riva, Mylene & Curtis, Sarah & Gauvin, Lise & Fagg, James, 2009. "Unravelling the extent of inequalities in health across urban and rural areas: Evidence from a national sample in England," Social Science & Medicine, Elsevier, vol. 68(4), pages 654-663, February.
    5. A. David Redish & Erich Kummerfeld & Rebecca Lea Morris & Alan C. Love, 2018. "Opinion: Reproducibility failures are essential to scientific inquiry," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(20), pages 5042-5046, May.
    6. Bryan N Howie & Peter Donnelly & Jonathan Marchini, 2009. "A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 5(6), pages 1-15, June.
    7. Jonathan D. Schaefer & Avshalom Caspi & Daniel W. Belsky & Honalee Harrington & Renate Houts & Salomon Israel & Morgan E. Levine & Karen Sugden & Benjamin Williams & Richie Poulton & Terrie E. Moffitt, 2016. "Early-Life Intelligence Predicts Midlife Biological Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 71(6), pages 968-977.
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