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This study takes a child-centred approach to examine the relationship between children's third-place play, parents' perceptions of their neighbourhood environment, and time spent by children in physical activity and sedentary behaviour during weekday out-of-school hours. A total of 1102 children aged 8–13 years from 19 schools across Auckland, New Zealand took part in a public participation geographic information systems (PPGIS) survey utilising closed- and open-ended questions and child mapping of destinations. The results suggested that playing in green places near home were associated with more time spent in light physical activity and less sedentary behaviour. Children who played in street places near home (e.g. driveways, footpath, carpark) spent more time in moderate to vigorous physical activity. Although parental perceptions of their neighbourhood environment were not directly associated with children's time spent in physical activity, children with parents who perceived their neighbourhood as more connected were more likely to engage in third-place play. [ABSTRACT FROM AUTHOR]

Background: Geographic information systems (GIS) are often used to examine the association between both physical activity and nutrition environments, and children's health. It is often assumed that geospatial datasets are accurate and complete. Furthermore, GIS datasets regularly lack metadata on the temporal specificity. Data is usually provided 'as is', and therefore may be unsuitable for retrospective or longitudinal studies of health outcomes. In this paper we outline a practical approach to both fill gaps in geospatial datasets, and to test their temporal validity. This approach is applied to both district council and open-source datasets in the Taranaki region of Aotearoa New Zealand. Methods: We used the 'streetview' python script to download historic Google Street View (GSV) images taken between 2012 and 2016 across specific locations in the Taranaki region. Images were reviewed and relevant features were incorporated into GIS datasets. Results: A total of 5166 coordinates with environmental features missing from council datasets were identified. The temporal validity of 402 (49%) environmental features was able to be confirmed from council dataset considered to be 'complete'. A total of 664 (55%) food outlets were identified and temporally validated. Conclusions: Our research indicates that geospatial datasets are not always complete or temporally valid. We have outlined an approach to test the sensitivity and specificity of GIS datasets using GSV images. A substantial number of features were identified, highlighting the limitations of many GIS datasets. [ABSTRACT FROM AUTHOR]

This study aimed to systematically identify, map out, and describe geographical information systems (GIS)-based approaches that have been employed to measure children's neighborhood geographies for physical activity behaviors. Forty studies were included, most were conducted in the USA. Heterogeneity in GIS methods and measures was found. The majority of studies estimated children's environments using Euclidean or network buffers ranging from 100 m to 5 km. No singular approach to measuring children's physical activity geographies was identified as optimal. Geographic diversity in studies as well as increased use of measures of actual neighborhood exposure are needed. Improved consistency and transparency in reporting research methods is urgently required. [ABSTRACT FROM AUTHOR]