Evidence mapPaperPMID 37404285Full record

ArticleFrontiers in public health2023

Epidemiological impact of public health interventions against diabetes in Qatar: mathematical modeling analyses.

Asalah Alareeki, Susanne F Awad, Julia A Critchley, Katie G El-Nahas, Abdulla O Al-Hamaq, Salah A Alyafei, Mohammed H J Al-Thani, Laith J Abu-Raddad

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Asalah AlareekiInfectious Diseases Epidemiology Group, Weill Cornell Medical College-Qatar, Cornell University, Doha, Qatar.
Susanne F AwadInfectious Diseases Epidemiology Group, Weill Cornell Medical College-Qatar, Cornell University, Doha, Qatar.
Julia A CritchleyPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Katie G El-NahasQatar Diabetes Association, Doha, Qatar.
Abdulla O Al-HamaqQatar Diabetes Association, Doha, Qatar.
Salah A AlyafeiPublic Health Department, Ministry of Public Health, Doha, Qatar.
Mohammed H J Al-ThaniPublic Health Department, Ministry of Public Health, Doha, Qatar.
Laith J Abu-RaddadInfectious Diseases Epidemiology Group, Weill Cornell Medical College-Qatar, Cornell University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To predict the epidemiological impact of specific, and primarily structural public health interventions that address lifestyle, dietary, and commuting behaviors of Qataris as well as subsidies and legislation to reduce type 2 diabetes mellitus (T2DM) burden among Qataris. Methods: A deterministic population-based mathematical model was used to investigate the impact of public health interventions on the epidemiology of T2DM among Qataris aged 20-79 years, which is the age range typically used by the International Diabetes Federation for adults. The study evaluated the impact of interventions up to 2050, a three-decade time horizon, to allow for the long-term effects of different types of interventions to materialize. The impact of each intervention was evaluated by comparing the predicted T2DM incidence and prevalence with the intervention to a counterfactual scenario without intervention. The model was parameterized using representative data and stratified by sex, age, T2DM risk factors, T2DM status, and intervention status. Results: All intervention scenarios had an appreciable impact on reducing T2DM incidence and prevalence. A lifestyle management intervention approach, specifically applied to those who are categorized as obese and ≥35 years old, averted 9.5% of new T2DM cases by 2050. An active commuting intervention approach, specifically increasing cycling and walking, averted 8.5% of new T2DM cases by 2050. Enhancing consumption of healthy diets including fruits and vegetables, specifically a workplace intervention involving dietary modifications and an educational intervention, averted 23.2% of new T2DM cases by 2050. A subsidy and legislative intervention approach, implementing subsidies on fruits and vegetables and taxation on sugar-sweetened beverages, averted 7.4% of new T2DM cases by 2050. A least to most optimistic combination of interventions averted 22.8-46.9% of new T2DM cases by 2050, respectively. Conclusions: Implementing a combination of individual-level and structural public health interventions is critical to prevent T2DM onset and to slow the growing T2DM epidemic in Qatar.

Indexed as

Diabetes Mellitus, Type 2Models, TheoreticalObesityPublic HealthQatarVegetablesconsumptionepidemiologyinterventionslegislationlifestyle managementmathematical modelingnon-communicable diseaserisk factors

Identifiers

PMID37404285
PMCPMC10315912

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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 Socratic graph.