Evidence map›Paper›PMID 33112504›Full record

ArticleJournal of diabetes investigation2021

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

Susanne F Awad, Adhra Al-Mawali, Jawad A Al-Lawati, Magdi Morsi, Julia A Critchley, Laith J Abu-Raddad

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Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

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23citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Predictive voting model for early diagnosis of diabetes dataset.Frontiers in cardiovascular medicine · 2026
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  11. Visual impairment and blindness in diabetic retinopathy.Medical hypothesis, discovery & innovation ophthalmology journal · 2025
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  18. Effect ofArchives of Razi Institute · 2022
    Article
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  20. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Susanne F AwadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
Adhra Al-MawaliCenter of Studies & Research, Ministry of Health, Muscat, Sultanate of Oman.
Jawad A Al-LawatiDirectorate General of Primary Health Care, Ministry of Health, Muscat, Sultanate of Oman.
Magdi MorsiCenter of Studies & Research, Ministry of Health, Muscat, Sultanate of Oman.
Julia A CritchleyPopulation Health Research Institute, St George's, University of London, London, UK.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID https://orcid.org/0000-0003-0790-0506

Funding

Qatar National Research Fund 10-1208-160017
6 · The paper itself

Abstract

AIMS/

introductionTo investigate and forecast type 2 diabetes mellitus epidemic, its related risk factors and cost in Oman by 2050. MATERIALS AND

methodsAn 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

EpidemicsForecastingModels, TheoreticalAdultCost of IllnessDiabetes Mellitus, Type 2FemaleHealth ExpendituresHumansMaleMiddle AgedObesityOmanPrevalenceRisk FactorsForecasting modelNon-communicable diseaseRisk factor

Identifiers

PMID33112504
PMCPMC8264408

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.