Comparing different data sources by examining the associations between surrounding greenspace and children's weight status

Zhou, Yusheng; Lengerke, Thomas von; Dreier, Maren

doi:10.1186/s12942-021-00278-w

Cited by 9 publications

(8 citation statements)

References 68 publications

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“…One potential explanation could be the methodological design of longitudinal studies and the measurement of environmental exposures. First, the heterogeneity of green space exposure measures is well documented in the academic literature [34,97,98]. This is also supported by studies in our systematic review.…”

Section: Relationship Between the Natural Environment And Healthsupporting

confidence: 83%

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Geneshka

Coventry

Cruz

et al. 2021

IJERPH

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There is growing interest in the ways natural environments influence the development and progression of long-term health conditions. Vegetation and water bodies, also known as green and blue spaces, have the potential to affect health and behaviour through the provision of aesthetic spaces for relaxation, socialisation and physical activity. While research has previously assessed how green and blue spaces affect mental and physical wellbeing, little is known about the relationship between these exposures and health outcomes over time. This systematic review summarised the published evidence from longitudinal observational studies on the relationship between exposure to green and blue space with mental and physical health in adults. Included health outcomes were common mental health conditions, severe mental health conditions and noncommunicable diseases (NCDs). An online bibliographic search of six databases was completed in July 2020. After title, abstract and full-text screening, 44 eligible studies were included in the analysis. Depression, diabetes and obesity were the health conditions most frequently studied in longitudinal relationships. The majority of exposures included indicators of green space availability and urban green space accessibility. Few studies addressed the relationship between blue space and health. The narrative synthesis pointed towards mixed evidence of a protective relationship between exposure to green space and health. There was high heterogeneity in exposure measures and adjustment for confounding between studies. Future policy and research should seek a standardised approach towards measuring green and blue space exposures and employ theoretical grounds for confounder adjustment.

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Section: Relationship Between the Natural Environment And Healthsupporting

confidence: 83%

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Geneshka

Coventry

Cruz

et al. 2021

IJERPH

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“…Access to recreation opportunities have also been found relevant to explaining variations in child obesity [ 48 , 49 ]. In particular, better access to private garden space has been linked to lower child obesity [ 50 ].…”

Section: Methodsmentioning

confidence: 99%

Measuring Obesogenicity and Assessing Its Impact on Child Obesity: A Cross-Sectional Ecological Study for England Neighbourhoods

Congdon

2022

IJERPH

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Both major influences on changing obesity levels (diet and physical activity) may be mediated by the environment, with environments that promote higher weight being denoted obesogenic. However, while many conceptual descriptions and definitions of obesogenic environments are available, relatively few attempts have been made to quantify obesogenic environments (obesogenicity). The current study is an ecological study (using area units as observations) which has as its main objective to propose a methodology for obtaining a numeric index of obesogenic neighbourhoods, and assess this methodology in an application to a major national dataset. One challenge in such a task is that obesogenicity is a latent aspect, proxied by observed environment features, such as poor access to healthy food and recreation, as well as socio-demographic neighbourhood characteristics. Another is that obesogenicity is potentially spatially clustered, and this feature should be included in the methodology. Two alternative forms of measurement model (i.e., models representing a latent quantity using observed indicators) are considered in developing the obesogenic environment index, and under both approaches we find that both food and activity indicators are pertinent to measuring obesogenic environments (though with varying relevance), and that obesogenic environments are spatially clustered. We then consider the role of the obesogenic environment index in explaining obesity and overweight rates for children at ages 10–11 in English neighbourhoods, along with area deprivation, population ethnicity, crime levels, and a measure of urban–rural status. We find the index of obesogenic environments to have a significant effect in elevating rates of child obesity and overweight. As a major conclusion, we establish that obesogenic environments can be measured using appropriate methods, and that they play a part in explaining variations in child weight indicators; in short, area context is relevant.

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“…The value provides detail for the key-specified feature (i.e., park vs. playground, both of which are used for leisure). Tags used in past research on park cover and green space measures vary but can include leisure=park, leisure=garden, landuse=grass (Ludwig, Fendrich, et al, 2021); landuse=village_green, and landuse=cemetery (Ludwig, Hecht, et al, 2021); playground and protected_area (Venter et al, 2022); dog park and flower bed (Kraemer & Kabisch, 2021); and allotment, farmland/farmyard, forest/wood, greenfield, greenhouse, meadow, nature reserve, orchard, plant nursery, scrub, village green, and wetland (Zhou et al, 2021). Golf courses have been excluded from some green space analyses (Williams et al, 2020).…”

Section: -2022mentioning

confidence: 99%

“…Sum of areas within regions may not total the nationwide statistics in cases of polygons extending beyond the terrestrial area of the U.S. and polygons overlapping regions. OSM tags included dog_park, garden, nature_reserve, and park for the leisure key and national_park and protected_area for the boundary key based on past research utilizing OSM for park cover (Kraemer & Kabisch, 2021;Ludwig, Fendrich, et al, 2021;Ludwig, Hecht, et al, 2021;Venter et al, 2022;Williams et al, 2020;Zhou et al, 2021). PAD-US-AR values differs from Figure 1 because those values were intended to show the number of units/aerial cover lost at each stage of curation while these values were intended to compare park datasets and report results after dissolving park polygons.…”

Section: Comparison Of the Pad-us-ar To Other Park Datasetsmentioning

confidence: 99%

Curation of new green space indicator for the U.S.: Accessible & recreational park cover (PAD-US-AR)

Browning¹,

Rigolon²,

Ogletree³

et al. 2022

Preprint

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Most spatial epidemiological studies of nature-health relationships use generalized green space measures. For instance, the normalized difference vegetative index (NDVI) is prominent despite its criticisms, such as its inability to differentiate more public (accessible) vs. private (largely inaccessible) land. Green space’s capacity to improve health includes building capacities for health-promoting behaviors (e.g., physical activity). Such behaviors may be best activated by recreational and accessible parks. We curated the Parks and Protected Areas Database of the U.S. (PAD-US) to identify parks that are accessible for outdoor recreation. Our title adds “AR” to “PAD-US” where A=Accessible and R=Recreational. We validated the PAD-US-AR by comparisons with other datasets and demonstrated its uniqueness from other metrics through correlational analyses.The PAD-US-AR presents a reliable estimate for exposure to parks accessible for outdoor recreation. It has strong associations with home prices, shares of female residents, and shares of older residents, which should be considered as covariates/confounders. The dataset can be a companion to other green space metrics in environmental epidemiology and allied fields of research.

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Comparing different data sources by examining the associations between surrounding greenspace and children's weight status

Cited by 9 publications

References 68 publications

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Measuring Obesogenicity and Assessing Its Impact on Child Obesity: A Cross-Sectional Ecological Study for England Neighbourhoods

Curation of new green space indicator for the U.S.: Accessible & recreational park cover (PAD-US-AR)

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Comparing different data sources by examining the associations between surrounding greenspace and children's weight status

Cited by 9 publications

References 68 publications

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies

Measuring Obesogenicity and Assessing Its Impact on Child Obesity: A Cross-Sectional Ecological Study for England Neighbourhoods

Curation of new green space indicator for the U.S.: Accessible &amp; recreational park cover (PAD-US-AR)

Contact Info

Product

Resources

About

Curation of new green space indicator for the U.S.: Accessible & recreational park cover (PAD-US-AR)