Imperial College London

DrElaineFuertes

Faculty of MedicineNational Heart & Lung Institute

Imperial College Junior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 7939e.fuertes

 
 
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Location

 

Emmanuel Kaye BuildingRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@article{Markevych:2017:10.1016/j.ufug.2016.11.011,
author = {Markevych, I and Maier, W and Fuertes, E and Lehmann, I and von, Berg A and Bauer, C-P and Koletzko, S and Berdel, D and Sugiri, D and Standl, M and Heinrich, J},
doi = {10.1016/j.ufug.2016.11.011},
journal = {Urban Forestry & Urban Greening},
pages = {88--95},
title = {Neighbourhood greenness and income of occupants in four German areas: GINIplus and LISAplus},
url = {http://dx.doi.org/10.1016/j.ufug.2016.11.011},
volume = {21},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - ObjectiveWe investigated whether families with lower individual-level socioeconomic status (SES) reside in less green neighbourhoods in four areas in Germany.MethodsData were collected within two German birth cohorts – GINIplus and LISAplus. Net equivalent household income was categorized into study area-specific tertiles and used as a proxy for individual-level SES. Neighbourhood greenness was calculated in 500-m buffers around home addresses as: 1) the mean normalized difference vegetation index (NDVI); 2) percent tree cover. Associations between income and neighbourhood greenness were assessed per study area using adjusted linear regression models.ResultsIn the Munich and Leipzig areas, families in the low and medium income tertiles resided in neighbourhoods with lower NDVI compared to those in the high income tertile (mean percent change in NDVI: −4.0 (95% confidence interval = −6.7 to −1.3) and −5.5 (−10.9 to −0.2), respectively). In contrast, in the Wesel area, families in the low income tertile resided in neighbourhoods with higher NDVI (2.9 (0.5–5.3)). Only the association in the Munich area was replicated when using tree cover instead of the NDVI.ConclusionsThis study provides suggestive evidence that the presence and direction of associations between greenness and SES is region-specific in Germany. The degree of urbanization did not clarify this heterogeneity completely.
AU - Markevych,I
AU - Maier,W
AU - Fuertes,E
AU - Lehmann,I
AU - von,Berg A
AU - Bauer,C-P
AU - Koletzko,S
AU - Berdel,D
AU - Sugiri,D
AU - Standl,M
AU - Heinrich,J
DO - 10.1016/j.ufug.2016.11.011
EP - 95
PY - 2017///
SN - 1618-8667
SP - 88
TI - Neighbourhood greenness and income of occupants in four German areas: GINIplus and LISAplus
T2 - Urban Forestry & Urban Greening
UR - http://dx.doi.org/10.1016/j.ufug.2016.11.011
UR - http://hdl.handle.net/10044/1/60004
VL - 21
ER -