Background/Aim: Evidence of associations between nature and health is mounting. However, there is a need to deconstruct “natural space” to capture quality in addition to and the various ways they impact on health. In this paper, we test associations between a quality-based index of neighborhood aesthetics and satellite-observed measure of greenspace and their relationships to health. Method: Using a population-based sample of 2696 adults in four European cities from the PHENOTYPE study, we examined the association between quality-based index of neighborhood aesthetics (13 items on perceived amount, appeal and satisfaction of nearby green space; α=0.86) and the satellite-generated Normalized Difference Vegetation Index (NDVI) and mental and physical health. General health status was assessed using the Short-Form (SF)-36 question to self-rate health (5-point response scale: excellent to poor). Mental health was assessed using the SF-36 mental health subscale, including five items about the occurrence of symptoms in the past 4 weeks (e.g., nervousness, depression) (6-point response scale: all of the time to none of the time).Results: The results from multi-level analyses adjusted for demographic and socioeconomic factors showed that in the pooled analysis, the neighborhood aesthetics index was associated with better self-rated mental (β=0.32 (0.24, 0.40)) and physical health (odds ratio=1.05 (1.03, 1.08)) while satellite-observed neighborhood greenness was not. These results were consistent across the four cities, even though they differ in aesthetics ratings and green space availability.Conclusions: This research suggests that community planners and health professionals can target interventions that foster positive neighborhood aesthetic experiences as a way to initiate health promotive processes that lead to improved mental and physical health. Satellite-observed greenness may miss important elements of the nearby green environment when assessing association between green space and health. Rather, street-based directly observed data provide a more accurate picture of the street green environment that affects populations.
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