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Green space and cognitive ageing: A retrospective life course analysis in the Lothian Birth Cohort 1936

Author

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  • Cherrie, Mark P.C.
  • Shortt, Niamh K.
  • Mitchell, Richard J.
  • Taylor, Adele M.
  • Redmond, Paul
  • Thompson, Catharine Ward
  • Starr, John M.
  • Deary, Ian J.
  • Pearce, Jamie R.

Abstract

International evidence suggests that green space has beneficial effects on general and mental health but little is known about how lifetime exposure to green space influences cognitive ageing. Employing a novel longitudinal life course approach, we examined the association between lifetime availability of public parks and cognitive ageing. Lifetime residential information was gathered from the participants of the Lothian Birth Cohort 1936 using a “life-grid” questionnaire at age 78 years. Parks information from 1949, 1969 and 2009 was used to determine a percentage of parks within a 1500 m buffer zone surrounding residence for childhood, adulthood, and later adulthood periods. Linear regressions were undertaken to test for association with age-standardised, residualised change in cognitive function (Moray House Test score) from age 11 to 70 years, and from age 70 to 76 (n = 281). The most appropriate model was selected using the results of a partial F-test, and then stratified by demographic, genetic and socioeconomic factors. The local provision of park space in childhood and adulthood were both important in explaining the change in cognitive function in later life. The association between childhood and adulthood park availability and change in the Moray House Test Score from age 70 to 76 was strongest for women, those without an APOE e4 allele (a genetic risk factor), and those in the lowest socioeconomic groups.

Suggested Citation

  • Cherrie, Mark P.C. & Shortt, Niamh K. & Mitchell, Richard J. & Taylor, Adele M. & Redmond, Paul & Thompson, Catharine Ward & Starr, John M. & Deary, Ian J. & Pearce, Jamie R., 2018. "Green space and cognitive ageing: A retrospective life course analysis in the Lothian Birth Cohort 1936," Social Science & Medicine, Elsevier, vol. 196(C), pages 56-65.
  • Handle: RePEc:eee:socmed:v:196:y:2018:i:c:p:56-65
    DOI: 10.1016/j.socscimed.2017.10.038
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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Ian J. Deary & Jian Yang & Gail Davies & Sarah E. Harris & Albert Tenesa & David Liewald & Michelle Luciano & Lorna M. Lopez & Alan J. Gow & Janie Corley & Paul Redmond & Helen C. Fox & Suzanne J. Row, 2012. "Genetic contributions to stability and change in intelligence from childhood to old age," Nature, Nature, vol. 482(7384), pages 212-215, February.
    3. Kuo, F.E. & Faber Taylor, A., 2004. "A potential natural treatment for attention-deficit/hyperactivity disorder: Evidence from a national study," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1580-1586.
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