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A GIS-based analysis of the incidence and prevalence of type 2 diabetes in Saudi Arabia

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TitleInfo
Title
A GIS-based analysis of the incidence and prevalence of type 2 diabetes in Saudi Arabia
Name (type = personal)
NamePart (type = family)
Alonazy
NamePart (type = given)
Mamdooh A.
NamePart (type = date)
1974-
DisplayForm
Mamdooh A. Alonazy
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Srinivasan
NamePart (type = given)
Shankar
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Shankar Srinivasan
Affiliation
Advisory Committee
Role
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chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
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school
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Text
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theses
OriginInfo
DateCreated (qualifier = exact)
2019
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2019-01
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2019
Place
PlaceTerm (type = code)
xx
Language
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eng
Abstract (type = abstract)
This research investigates type 2 diabet type 2 diabeteses (T2D) and its risk factors, analyzes its prevalence and progression and identifies which risk factors affect different regions of Saudi Arabia by utilizing the 2013 Saudi Health Interview Survey.
Our findings showed a high prevalence of T2D in Saudi Arabia (11.5%), with the highest in Hail and Aseer at 16.9% and 15.3%, respectively. On the other hand, Eastern had the lowest at 7.9%.
Overall, we found that age and BMI were the most effective predictors. Age was the most effective, impacting all thirteen regions. The group aged 65 years and older had the highest risk; the 45- to 64-year-old age group, however, had the highest number of diagnoses. Al-Madinah had the highest prevalence of T2D in this age group at 56.9%. The 15- to 44-year-old group had the highest risk in Aseer at 4.8%. In Northern Borders, the odds ratio was the highest for the 65 plus age group, at 59.15. BMI was an effective predictor of T2D in nine regions. In Eastern, the odds ratio for the obese group was 4.3 compared to people of normal weight. In Al-Jouf, obese women had the highest percentage of T2D at 44.44% of cases.
Work status was an important risk factor in Tabuk, Eastern, Al-Jouf, and Aseer. The retired group had the highest prevalence in these regions, except for Aseer where the employed group had the highest risk; retired people in Aseer are still involved in farm work, which may contribute to fewer T2D cases. Smoking status was an effective predictor in Hail, Al-Qassim, Riyadh, and Makkah. Ex-smokers had the highest incidence of T2D. Marital status was an effective predictor for Hail, Al-Qassim, and Riyadh. The divorced group had the highest prevalence of T2D. Education was an effective predictor for Riyadh and Aseer; the illiterate group had the highest risk. Diet was a good predictor only in Aseer. Shisha and hookah use were effective predictors in Riyadh.
Understanding this data can help lower the prevalence of diabetes, provide better diabetes care, and lower healthcare costs for the Ministry of Health.
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = ETD-LCSH)
Topic
Non-insulin-dependent diabetes
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9350
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (189 pages : illustrations)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Mamdooh A. Alonazy
Subject (authority = lcsh/lcnaf)
Geographic
Saudi Arabia
RelatedItem (type = host)
TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-mfe2-1t12
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Alonazy
GivenName
Mamdooh
MiddleName
A.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-10-17 14:59:37
AssociatedEntity
Name
Mamdooh Alonazy
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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2018-10-25T20:39:10
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2018-10-25T20:37:48
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