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Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England

Sun, Yeran and Hu, Xuke and Huang, Ying and On Chan, Ting (2020) Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England. ISPRS International Journal of Geo-Information, 9 (10), p. 599. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/ijgi9100599. ISSN 2220-9964.

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Abstract

To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhood obesity. We first explored spatial patterns of childhood obesity prevalence, and subsequently investigated the spatial associations of socioeconomic factors and childhood obesity prevalence across England by selecting and estimating appropriate spatial regression models. As the data used are geospatial data, we used two newly developed specifications of spatial regression models to investigate the spatial association of socioeconomic factors and childhood obesity prevalence. As a result, among the two newly developed specifications of spatial regression models, the fast random effects specification of eigenvector spatial filtering (FRES-ESF) model appears to outperform the matrix exponential spatial specification of spatial autoregressive (MESS-SAR) model. Empirical results indicate that positive spatial dependence is found to exist in childhood obesity prevalence across England; and that socioeconomic factors are significantly associated with childhood obesity prevalence across England. In England, children living in areas with lower socioeconomic status are at higher risk of obesity. This study suggests effectively reducing spatial inequalities in socioeconomic status will plays a vital role in mitigating spatial inequalities in childhood obesity prevalence.

Item URL in elib:https://elib.dlr.de/140283/
Document Type:Article
Title:Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sun, YeranSwansea UniversityUNSPECIFIED
Hu, XukeXuke.Hu (at) dlr.deUNSPECIFIED
Huang, YingSun Yat-sen UniversityUNSPECIFIED
On Chan, TingSun Yat-sen UniversityUNSPECIFIED
Date:2020
Journal or Publication Title:ISPRS International Journal of Geo-Information
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.3390/ijgi9100599
Page Range:p. 599
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2220-9964
Status:Published
Keywords:childhood obesity; socioeconomic disadvantage; spatial regression model; matrix exponential spatial specification model; eigenvector spatial filtering model
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Jena
Institutes and Institutions:Institute of Data Science
Institute of Data Science > Citizen Science
Deposited By: Hu, Xuke
Deposited On:14 Jan 2021 13:15
Last Modified:14 Jan 2021 13:15

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