SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Forecasting the type 2 diabetes mellitus epidemic and the role of key risk factors in Oman up to 2050: Mathematical modeling analyses.

Awad, SF; Al-Mawali, A; Al-Lawati, JA; Morsi, M; Critchley, JA; Abu-Raddad, LJ (2021) Forecasting the type 2 diabetes mellitus epidemic and the role of key risk factors in Oman up to 2050: Mathematical modeling analyses. J Diabetes Investig, 12 (7). pp. 1162-1174. ISSN 2040-1124 https://doi.org/10.1111/jdi.13452
SGUL Authors: Critchley, Julia

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (3MB) | Preview
[img] Microsoft Word (.docx) Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB)
[img] Microsoft Word (.docx) (Appendix) Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)

Abstract

AIMS/INTRODUCTION: To investigate and forecast type 2 diabetes mellitus epidemic, its related risk factors and cost in Oman by 2050. MATERIALS AND METHODS: An age-structured mathematical model was used to characterize type 2 diabetes mellitus epidemiology and trends in Oman between 1990 and 2050. The model was parametrized using current and quality data, including six nationally representative population-based epidemiological surveys for type 2 diabetes mellitus and its key risk factors. RESULTS: The projected type 2 diabetes mellitus prevalence increased from 15.2% in 2020 to 23.8% in 2050. The prevalence increased from 16.8 and 13.8% in 2020 among women and men to 26.3 and 21.4% in 2050, respectively. In 2020, 190,489 Omanis were living with type 2 diabetes mellitus compared with 570,227 in 2050. The incidence rate per 1,000 person-years changed from 8.3 in 2020 to 12.1 in 2050. Type 2 diabetes mellitus' share of Oman's national health expenditure grew by 36% between 2020 and 2050 (from 21.2 to 28.8%). Obesity explained 56.7% of type 2 diabetes mellitus cases in 2020 and 71.4% in 2050, physical inactivity explained 4.3% in 2020 and 2.7% in 2050, whereas smoking accounted for <1% of type 2 diabetes mellitus cases throughout 2020-2050. Sensitivity and uncertainty analyses affirmed these predictions. CONCLUSIONS: The type 2 diabetes mellitus epidemic in Oman is expected to increase significantly over the next three decades, consuming nearly one-third of the national health expenditure. The type 2 diabetes mellitus burden is heavily influenced by obesity. Interventions targeting this single risk factor should be a national priority to reduce and control the burden of type 2 diabetes mellitus in Oman.

Item Type: Article
Additional Information: © 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Keywords: Forecasting model, Non-communicable disease, Risk factor, Forecasting model, Non&#8208, communicable disease, Risk factor, Middle East and North Africa, Non-communicable disease, Oman, body mass index, forecasting model, health expenditure, mathematical modeling, risk factor
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: J Diabetes Investig
ISSN: 2040-1124
Language: eng
Dates:
DateEvent
8 July 2021Published
27 November 2020Published Online
26 October 2020Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Projects:
Project IDFunderFunder ID
10-1208-160017Qatar National Research FundUNSPECIFIED
PubMed ID: 33112504
Web of Science ID: WOS:000592482500001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112580
Publisher's version: https://doi.org/10.1111/jdi.13452

Actions (login required)

Edit Item Edit Item