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

Swansea University Author: Amy R. 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
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
URI: https://cronfa.swan.ac.uk/Record/cronfa40669
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first_indexed 2018-06-07T13:40:25Z
last_indexed 2020-09-02T03:04:35Z
id cronfa40669
recordtype RisThesis
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spelling 2020-09-01T16:05:47.9542489 v2 40669 2018-06-07 Investigating the impact of GIS modelled daily exposures to the retail food environment on routinely linked child health data 960c88a59d7308c9f5422c9a4933914c NULL Amy R. Mizen Amy R. Mizen true true 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. E-Thesis GIS, GPS, Child Health, Linked Data, SAIL, Retail Food Environment 31 12 2018 2018-12-31 10.23889/SUthesis.40669 COLLEGE NANME Swansea University Medical School COLLEGE CODE Swansea University Doctoral Ph.D DECIPHer (MRC) 2020-09-01T16:05:47.9542489 2018-06-07T10:53:47.1814557 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Amy R. Mizen NULL 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
Amy R. Mizen
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_id_str_mv 960c88a59d7308c9f5422c9a4933914c
author_id_fullname_str_mv 960c88a59d7308c9f5422c9a4933914c_***_Amy R. Mizen
author Amy R. Mizen
author2 Amy R. Mizen
format E-Thesis
publishDate 2018
institution Swansea University
doi_str_mv 10.23889/SUthesis.40669
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
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 2018-12-31T03:51:46Z
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score 11.0127

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