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The Geography of Recreational Open Space: Influence of Neighborhood Racial Composition and Neighborhood Poverty

Overview of attention for article published in Journal of Urban Health, October 2012
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Title
The Geography of Recreational Open Space: Influence of Neighborhood Racial Composition and Neighborhood Poverty
Published in
Journal of Urban Health, October 2012
DOI 10.1007/s11524-012-9770-y
Pubmed ID
Authors

Dustin T. Duncan, Ichiro Kawachi, Kellee White, David R. Williams

Abstract

The geography of recreational open space might be inequitable in terms of minority neighborhood racial/ethnic composition and neighborhood poverty, perhaps due in part to residential segregation. This study evaluated the association between minority neighborhood racial/ethnic composition, neighborhood poverty, and recreational open space in Boston, Massachusetts (US). Across Boston census tracts, we computed percent non-Hispanic Black, percent Hispanic, and percent families in poverty as well as recreational open space density. We evaluated spatial autocorrelation in study variables and in the ordinary least squares (OLS) regression residuals via the Global Moran's I. We then computed Spearman correlations between the census tract socio-demographic characteristics and recreational open space density, including correlations adjusted for spatial autocorrelation. After this, we computed OLS regressions or spatial regressions as appropriate. Significant positive spatial autocorrelation was found for neighborhood socio-demographic characteristics (all p value = 0.001). We found marginally significant positive spatial autocorrelation in recreational open space (Global Moran's I = 0.082; p value = 0.053). However, we found no spatial autocorrelation in the OLS regression residuals, which indicated that spatial models were not appropriate. There was a negative correlation between census tract percent non-Hispanic Black and recreational open space density (r S = -0.22; conventional p value = 0.005; spatially adjusted p value = 0.019) as well as a negative correlation between predominantly non-Hispanic Black census tracts (>60 % non-Hispanic Black in a census tract) and recreational open space density (r S = -0.23; conventional p value = 0.003; spatially adjusted p value = 0.007). In bivariate and multivariate OLS models, percent non-Hispanic Black in a census tract and predominantly Black census tracts were associated with decreased density of recreational open space (p value < 0.001). Consistent with several previous studies in other geographic locales, we found that Black neighborhoods in Boston were less likely to have recreational open spaces, indicating the need for policy interventions promoting equitable access. Such interventions may contribute to reductions and disparities in obesity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Indonesia 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Student > Master 29 18%
Researcher 18 11%
Student > Doctoral Student 16 10%
Professor > Associate Professor 6 4%
Other 24 15%
Unknown 39 24%
Readers by discipline Count As %
Social Sciences 47 29%
Medicine and Dentistry 21 13%
Environmental Science 9 6%
Design 8 5%
Nursing and Health Professions 7 4%
Other 21 13%
Unknown 50 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2014.
All research outputs
#14,154,868
of 22,684,168 outputs
Outputs from Journal of Urban Health
#1,036
of 1,279 outputs
Outputs of similar age
#106,353
of 183,259 outputs
Outputs of similar age from Journal of Urban Health
#13
of 17 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.