Article ID Journal Published Year Pages File Type
10252182 Urban Forestry & Urban Greening 2014 35 Pages PDF
Abstract
There is increasing evidence of a positive relation between green spaces in people's living environment and self-reported indicators of physical and mental health. However, to this moment health anxiety has not been contextualized in the light of the restorative and anxiolytic experiences of urban nature nor has it been studied in reference to the awareness of nature experiences. We aimed to determine whether “awareness of nature experiences” was a significant modifier of the beneficial effects of interaction of older citizens with urban green spaces. This construct represents the purposeful and conscious interaction with nature, a specific behaviour pre-formed as a cognitive representation of the “self” in a natural context, providing an internal replica of the previously experienced external natural world which guides people when they choose to visit an urban park. A cross-sectional interview study was conducted amongst 97 elderly visitors of “Tzar Simeon Garden” Park in Plovdiv, Bulgaria. After controlling for “awareness of nature experiences”, hierarchical multiple regression model accounted for 94% of the variance in health anxiety. The independent variables “appreciation of bird songs”, “appreciation of vegetation”, “weekly visits to the park” and “years of visiting the park” remained significant, but their power decreased, and “age” became non-significant predictor. The overall predictive capacity of the model rose significantly after “awareness of nature experiences” was added. In conclusion, health anxiety among Bulgarian elderly adults is somewhat higher than in other similar populations but still does not exceed acceptable levels. The actual interaction and experiences of the park were predictors of health anxiety independent from confounding factors. Their power, however, was to some extent dependent on individual “awareness of nature experiences”, which had unique contribution to the model.
Related Topics
Life Sciences Agricultural and Biological Sciences Forestry
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