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. 2021 Jul 2;214:104176. doi: 10.1016/j.landurbplan.2021.104176

Fig. 5.

Fig. 5

Associations between geographical and sociodemographic properties of places and wellbeing outcomes of their use, as estimated in spatial logistic regression Model 1: Abstain-Negative versus Abstain-Nonnegative (A), Model 2: Visit-Negative versus Visit-Neutral (B) and Model 3: Visit-Positive versus Visit-Neutral (C). Associations are shown as odds ratios (dots) with 95% confidence intervals (bracketed lines). Units used in the models are given within brackets. (A) Abstaining from visiting places is more likely to have a negative influence on wellbeing when they have natural features and are in areas with many residents. (B) Visiting places similarly or more often is more likely to have a negative influence on wellbeing if they do not contain forest. (C) Visiting places similarly or more often is more likely to have a positive influence on wellbeing when they feature fields, forests and water.