We include three metrics of greenspace exposure (Normalised Difference Vegetation Index [NDVI], tree canopy density, and proximity to green land use) and will track objective measurements of physical activity through personal GPS data, including the duration engaging in active, e.g., walking, and passive, e.g., driving, transport. Fitbit units worn by study participants recorded steps per minute. Indoor PM2.5 and noise levels were collected from participants’ homes, and we are exploring the use of the Data Integration Model for Air Quality to estimate outdoor air pollutant concentrations.
Based on the Edinburgh participants (n=29), preliminary results suggest no associations between residential greenspace metrics with indoor PM2.5, noise levels, or indicators of physical activity. However, using the GPS data, mean NDVI levels demonstrated significant positive correlations with the overall distance of walking or running (r=0.46; p=0.02) and also overall steps (r=0.41; p=0.04) during the monitoring period. No such associations were identified with tree canopy densities. We will expand the analysis to incorporate covariates of individual participants and data from the other cities to refine these early results.
|Publication status||Published - 1 Apr 2019|
|MoE publication type||Not Eligible|
|Event||12th UK & Ireland Occupational & Environmental Epidemiology meeting - IOM, Edinburgh, United Kingdom|
Duration: 1 Apr 2019 → …
Conference number: 12
|Conference||12th UK & Ireland Occupational & Environmental Epidemiology meeting|
|Period||1/04/19 → …|