The relationship of green space, depressive symptoms and perceived general health in urban population

Scand J Public Health. 2014 Nov;42(7):669-76. doi: 10.1177/1403494814544494. Epub 2014 Aug 12.

Abstract

Aims: To assess the relationship between green space proximity, use of green space and depressive symptoms and perceived general health among a random sample men and women.

Methods: Cross-sectional study of a population-based sample of 6,944 45-72 year old Kaunas city residents. Self-reported questionnaires provided information on sociodemographic variables, health behaviours, depressive symptoms and poor and very poor perceived general health. Residential proximity to green spaces was defined as living less than 300 m, within interval of 300-999 m, and equal or more than 1 km from a park. The use of the park was divided into two categories: no park use or use <4hrs/week and use of the park ≥4 h/week. The study received approval from the Kaunas Regional Research Ethics Committee. Multiple logistic regression assessed the associations controlling for confounding variables.

Results: The prevalence of depressive symptoms and poor and or very poor perceived general health was higher in women than in men. The association between the use of the park and residential proximity to the park revealed that women living >300 m from a green space and who used the space ≥4 h/week showed higher odds 1.92 (1.11-3.3) and 1.68 (0.81-3.48) of depressive symptoms and poor and very poor perceived general health as compared to those who used the park <4 hrs/week and residential proximity was >300 m.

Conclusions: The results of our study confirmed an association between use of the green space, residential proximity, and depressive symptoms and poor and very poor perceived general health among women only.

Keywords: Depressive symptoms; green space proximity; perceived general health; urban population.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cross-Sectional Studies
  • Depression / epidemiology*
  • Diagnostic Self Evaluation*
  • Environment Design / statistics & numerical data*
  • Female
  • Humans
  • Lithuania / epidemiology
  • Male
  • Middle Aged
  • Residence Characteristics / statistics & numerical data*
  • Sex Distribution
  • Urban Health / statistics & numerical data*