Epidemiological impact of public health interventions against diabetes in Qatar
Mathematical modeling analyses
Bibliographic Data
| ID | 22075460 |
|---|---|
| Authors | Asalah Alareeki (0000-0001-8555-4878, Weill Cornell Medical College in Qatar), Susanne F Awad (0000-0002-5060-7404, Cornell University), Julia Critchley (0000-0002-5248-4188, St George's, University of London), Julia A Critchley, Katie G El-Nahas (Qatar Diabetes Association), Abdulla O A A Al-Hamaq (Qatar Diabetes Association), Abdulla O Al-Hamaq, Salah A Alyafei (Ministry of Public Health), Mohammed Al‐Thani (0000-0003-4970-8395, Ministry of Public Health), Mohammed H J Al-Thani, Laith J Abu‐raddad (0000-0003-0790-0506, Cornell University, corresponding author) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1167807-1167807 |
| Publication date | 2023-06-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1167807 |
| PMID | 37404285 |
| OpenAlex | W4381251634 |
| Language | EN |
| References cited | 26 |
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
Diabetes mellitus · Environmental health · Family medicine · Pathology · Psychological intervention · Public health · Public health interventions · Diabetes Management and Education · Diabetes, Cardiovascular Risks, and Lipoproteins · Dietary Effects on Health · Medicine · Nursing · Epidemiology
| Highly cited | No |
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