Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi

Most of population in the world live in countries where obesity and overweight killed people more than underweight whereby leads too many chronic diseases such as diabetes mellitus and heart attack. Although the worldwide obesity nearly tripled since 1975, the influence of the surrounding factors su...

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Main Author:	Che Humaidi, Siti Nur zulaikha
Format:	Thesis
Language:	English
Published:	2018
Subjects:	RC Internal Medicine
Online Access:	https://ir.uitm.edu.my/id/eprint/20102/1/TD_SITI%20NUR%20ZULAIKA%20CHE%20HUMADI%20AP%2018_5.Rpdf.pdf
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id	my-uitm-ir.20102
record_format	uketd_dc
spelling	my-uitm-ir.201022018-07-12T01:55:04Z Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi 2018-03 Che Humaidi, Siti Nur zulaikha RC Internal Medicine Most of population in the world live in countries where obesity and overweight killed people more than underweight whereby leads too many chronic diseases such as diabetes mellitus and heart attack. Although the worldwide obesity nearly tripled since 1975, the influence of the surrounding factors such as fast food outlets distribution, income status and physical activity levels is still unclear. This research investigates the pattern of obesity cases in United Kingdom and Malaysia in year 2015 by testing the associated variables in order to find the risk factors that contribute to the rise of obesity cases in both country. Hotspot analysis was examined for the explanatory factors for both country by using Getis Ord Gi*, cartogram mapping and classification by using ArcGIS 10.2 software and Scape Toad software to determine which region or state that have high rate each of those factors. Spatial correlation analysis was used by using fast food outlets distribution, income status and physical activity levels data with obesity cases to test the relationship of the explanatory factors towards percentage of obesity. It is found that the correlation value for fast food outlets distribution in UK is R2 = 0.01 while in Malaysia, R2 = 0.02. The correlation value for income status in UK is R2 = 0.86 and Malaysia, R2 = 0.12. Lastly, the correlation value for physical activity levels in UK is R2 = 0.40 while in Malaysia, R2 = 0.20. In conclusion, income status and physical activity have high impact to the obesity in United Kingdom meanwhile it give low impact among population in Malaysia. For fast food outlets distribution, it has very low relationship with obesity for both country. The usage of GIS application and new technology can provide easier and effective ways in order to monitor the obesity and health status worldwide 2018-03 Thesis https://ir.uitm.edu.my/id/eprint/20102/ https://ir.uitm.edu.my/id/eprint/20102/1/TD_SITI%20NUR%20ZULAIKA%20CHE%20HUMADI%20AP%2018_5.Rpdf.pdf text en public dphil degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	RC Internal Medicine
spellingShingle	RC Internal Medicine Che Humaidi, Siti Nur zulaikha Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
description	Most of population in the world live in countries where obesity and overweight killed people more than underweight whereby leads too many chronic diseases such as diabetes mellitus and heart attack. Although the worldwide obesity nearly tripled since 1975, the influence of the surrounding factors such as fast food outlets distribution, income status and physical activity levels is still unclear. This research investigates the pattern of obesity cases in United Kingdom and Malaysia in year 2015 by testing the associated variables in order to find the risk factors that contribute to the rise of obesity cases in both country. Hotspot analysis was examined for the explanatory factors for both country by using Getis Ord Gi*, cartogram mapping and classification by using ArcGIS 10.2 software and Scape Toad software to determine which region or state that have high rate each of those factors. Spatial correlation analysis was used by using fast food outlets distribution, income status and physical activity levels data with obesity cases to test the relationship of the explanatory factors towards percentage of obesity. It is found that the correlation value for fast food outlets distribution in UK is R2 = 0.01 while in Malaysia, R2 = 0.02. The correlation value for income status in UK is R2 = 0.86 and Malaysia, R2 = 0.12. Lastly, the correlation value for physical activity levels in UK is R2 = 0.40 while in Malaysia, R2 = 0.20. In conclusion, income status and physical activity have high impact to the obesity in United Kingdom meanwhile it give low impact among population in Malaysia. For fast food outlets distribution, it has very low relationship with obesity for both country. The usage of GIS application and new technology can provide easier and effective ways in order to monitor the obesity and health status worldwide
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Che Humaidi, Siti Nur zulaikha
author_facet	Che Humaidi, Siti Nur zulaikha
author_sort	Che Humaidi, Siti Nur zulaikha
title	Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
title_short	Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
title_full	Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
title_fullStr	Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
title_full_unstemmed	Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi
title_sort	spatial correlation analysis of obesity cases with demographic and fast food outlets distribution / siti nur zulaikha che humaidi
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/20102/1/TD_SITI%20NUR%20ZULAIKA%20CHE%20HUMADI%20AP%2018_5.Rpdf.pdf
_version_	1783733724654862336

Spatial correlation analysis of obesity cases with Demographic and fast food outlets distribution / Siti Nur Zulaikha Che Humaidi

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