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Characterizing the type 2 diabetes mellitus epidemic in Jordan up to 2050.

Awad, SF; Huangfu, P; Dargham, SR; Ajlouni, K; Batieha, A; Khader, YS; Critchley, JA; Abu-Raddad, LJ (2020) Characterizing the type 2 diabetes mellitus epidemic in Jordan up to 2050. Sci Rep, 10 (1). p. 21001. ISSN 2045-2322 https://doi.org/10.1038/s41598-020-77970-7
SGUL Authors: Huangfu, Peijue Critchley, Julia

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Abstract

We aimed to characterize the type 2 diabetes mellitus (T2DM) epidemic and the role of key risk factors in Jordan between 1990-2050, and to forecast the T2DM-related costs. A recently-developed population-level T2DM mathematical model was adapted and applied to Jordan. The model was fitted to six population-based survey data collected between 1990 and 2017. T2DM prevalence was 14.0% in 1990, and projected to be 16.0% in 2020, and 20.6% in 2050. The total predicted number of T2DM cases were 218,326 (12,313 were new cases) in 1990, 702,326 (36,941 were new cases) in 2020, and 1.9 million (79,419 were new cases) in 2050. Out of Jordan's total health expenditure, 19.0% in 1990, 21.1% in 2020, and 25.2% in 2050 was forecasted to be spent on T2DM. The proportion of T2DM incident cases attributed to obesity was 55.6% in 1990, 59.5% in 2020, and 62.6% in 2050. Meanwhile, the combined contribution of smoking and physical inactivity hovered around 5% between 1990 and 2050. Jordan's T2DM epidemic is predicted to grow sizably in the next three decades, driven by population ageing and high and increasing obesity levels. The national strategy to prevent T2DM needs to be strengthened by focusing it on preventive interventions targeting T2DM and key risk factors.

Item Type: Article
Additional Information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2020
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Sci Rep
ISSN: 2045-2322
Language: eng
Dates:
DateEvent
3 December 2020Published
18 November 2020Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
10-1208-160017Qatar National Research FundUNSPECIFIED
PubMed ID: 33273500
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112694
Publisher's version: https://doi.org/10.1038/s41598-020-77970-7

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