Evidence map›Paper›PMID 24447810›Full record

ArticleDiabetes research and clinical practice2014

Comparison of type 2 diabetes prevalence estimates in Saudi Arabia from a validated Markov model against the International Diabetes Federation and other modelling studies.

Abdulkareem J Al-Quwaidhi, Mark S Pearce, Eugene Sobngwi, Julia A Critchley, Martin O'Flaherty

Abstract readComparative Study
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Article in Diabetes research and clinical practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

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46citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

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  20. Risk Predictors of High Uric Acid Levels Among Patients with Type-2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abdulkareem J Al-QuwaidhiNewcastle University, United Kingdom; Ministry of Health, Saudi Arabia. Electronic address: aal-qwidi@moh.gov.sa.
Mark S PearceNewcastle University, United Kingdom. Electronic address: mark.pearce@ncl.ac.uk.
Eugene SobngwiNewcastle University, United Kingdom. Electronic address: Eugene.sobngwi@ncl.ac.uk.
Julia A CritchleySt. George's University of London, United Kingdom. Electronic address: jcritchl@sgul.ac.uk.
Martin O'FlahertyUniversity of Liverpool, United Kingdom. Electronic address: M.OFlaherty@liverpool.ac.uk.

Funding

Medical Research Council G 0900847
6 · The paper itself

Abstract

aimsTo compare the estimates and projections of type 2 diabetes mellitus (T2DM) prevalence in Saudi Arabia from a validated Markov model against other modelling estimates, such as those produced by the International Diabetes Federation (IDF) Diabetes Atlas and the Global Burden of Disease (GBD) project.

methodsA discrete-state Markov model was developed and validated that integrates data on population, obesity and smoking prevalence trends in adult Saudis aged ≥25 years to estimate the trends in T2DM prevalence (annually from 1992 to 2022). The model was validated by comparing the age- and sex-specific prevalence estimates against a national survey conducted in 2005.

resultsPrevalence estimates from this new Markov model were consistent with the 2005 national survey and very similar to the GBD study estimates. Prevalence in men and women in 2000 was estimated by the GBD model respectively at 17.5% and 17.7%, compared to 17.7% and 16.4% in this study. The IDF estimates of the total diabetes prevalence were considerably lower at 16.7% in 2011 and 20.8% in 2030, compared with 29.2% in 2011 and 44.1% in 2022 in this study.

conclusionIn contrast to other modelling studies, both the Saudi IMPACT Diabetes Forecast Model and the GBD model directly incorporated the trends in obesity prevalence and/or body mass index (BMI) to inform T2DM prevalence estimates. It appears that such a direct incorporation of obesity trends in modelling studies results in higher estimates of the future prevalence of T2DM, at least in countries where obesity has been rapidly increasing.

Indexed as

Markov ChainsModels, StatisticalAdultAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleHumansInternational AgenciesMaleMiddle AgedObesityPrevalenceRisk FactorsSaudi ArabiaSmokingDiabetesModellingPrevalenceSaudi Arabia

Identifiers

PMID24447810
PMCPMC4013554

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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.