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Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data / Amy Mizen

DOI (Published version): 10.23889/SUthesis.40669

Abstract

Obesity continues to be a huge public health concern around the globe, and numbers are projected to continue to increase. There is particular concern around the issue of obesity in children because obese children are far more likely become obese adults than children who are a healthy weight. We have...

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Published: 2018
URI: https://cronfa.swan.ac.uk/Record/cronfa40669
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first_indexed 2018-06-07T13:40:25Z
last_indexed 2019-10-21T16:46:41Z
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spelling 2018-07-06T15:45:33.0662741 v2 40669 2018-06-07 Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data 2018-06-07 Obesity continues to be a huge public health concern around the globe, and numbers are projected to continue to increase. There is particular concern around the issue of obesity in children because obese children are far more likely become obese adults than children who are a healthy weight. We have so far been ineffective in developing successful public health policies and interventions that report population level reductions in obesity. In order to tackle obesity on a large scale, we need to be creative and develop interventions and policies that drive societal change.The cause of obesity has been found to be not a linear relationship of cause and effect but a complex and multifaceted system. Geographic Information Systems (GIS) are being used to more fully understand the role of the environment on obesity. There has been a particular focus on exposure to the ‘retail food environment’ (RFE) and how this may be linked with obesity. Currently, GIS modelled exposures to the RFE along routes to and from school are not adequate to make reliable predictions about exposure. Instead, GPS data are used to obtain accurate exposures. This thesis has developed a GIS method to generate population level exposures to the RFE. In order to advise policies and interventions that will effectively cause societal change, population level research must be undertaken. A novel way that this type of research can be undertaken is through data linkage. This study has calculated exposures to the RFE for school children aged 13-14 years in south Wales and linked these exposures to individual level health data held within the Secure Anonymised Information Linkage Databank (SAIL). These results contribute to the evidence base and shed light on new aspects of the built environment that can be altered to encourage healthy lifestyles. EThesis GIS, GPS, Child Health, Linked Data, SAIL, Retail Food Environment 1 1 2018 2018-01-01 10.23889/SUthesis.40669 COLLEGE NANME COLLEGE CODE Swansea University DECIPHer (MRC) 2018-07-06T15:45:33.0662741 2018-06-07T10:53:47.1814557 Swansea University Medical School Swansea University Medical School Amy Mizen 1 0040669-08062018093832.pdf Mizen_Amy_R_thesis_final.pdf 2018-06-08T09:38:32.7130000 Output 5561393 application/pdf E-Thesis – open access true 2018-06-07T00:00:00.0000000 true
title Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
spellingShingle Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
,
title_short Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
title_full Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
title_fullStr Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
title_full_unstemmed Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
title_sort Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data
author ,
author2 Amy Mizen
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publishDate 2018
institution Swansea University
doi_str_mv 10.23889/SUthesis.40669
college_str Swansea University Medical School
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hierarchy_top_title Swansea University Medical School
hierarchy_parent_id swanseauniversitymedicalschool
hierarchy_parent_title Swansea University Medical School
department_str Swansea University Medical School{{{_:::_}}}Swansea University Medical School{{{_:::_}}}Swansea University Medical School
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description Obesity continues to be a huge public health concern around the globe, and numbers are projected to continue to increase. There is particular concern around the issue of obesity in children because obese children are far more likely become obese adults than children who are a healthy weight. We have so far been ineffective in developing successful public health policies and interventions that report population level reductions in obesity. In order to tackle obesity on a large scale, we need to be creative and develop interventions and policies that drive societal change.The cause of obesity has been found to be not a linear relationship of cause and effect but a complex and multifaceted system. Geographic Information Systems (GIS) are being used to more fully understand the role of the environment on obesity. There has been a particular focus on exposure to the ‘retail food environment’ (RFE) and how this may be linked with obesity. Currently, GIS modelled exposures to the RFE along routes to and from school are not adequate to make reliable predictions about exposure. Instead, GPS data are used to obtain accurate exposures. This thesis has developed a GIS method to generate population level exposures to the RFE. In order to advise policies and interventions that will effectively cause societal change, population level research must be undertaken. A novel way that this type of research can be undertaken is through data linkage. This study has calculated exposures to the RFE for school children aged 13-14 years in south Wales and linked these exposures to individual level health data held within the Secure Anonymised Information Linkage Databank (SAIL). These results contribute to the evidence base and shed light on new aspects of the built environment that can be altered to encourage healthy lifestyles.
published_date 2018-01-01T13:01:10Z
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score 10.868197