Estimation of the Burden of Disease Due to Diabetes Mellitus Type 2 in the Population of Tabasco During the Period 2013–2023
Abstract
1. Introduction
2. Materials and Methods
2.1. Type of Study
2.2. Universe
2.3. Study Population
2.4. Data Collection Method and Instrument
2.5. Data Analysis
2.6. Calculate DALYs
- Years of Life Lost (YLL): The total annual deaths were multiplied by life expectancy, calculated as the average for each age group. For individuals over 65, life expectancy was considered 0.0 due to reduced potential lifespan.
- 2.
- Years Lived with Disability (YLD): The disease duration was multiplied by the disability weight (from the DALY Calculator) and the incidence rate for each age group to calculate YLD for T2DM.
- 3.
- Disability-Adjusted Life Years (DALY): YLL and YLD were summed to determine the DALYs.
2.7. Inclusion and Exclusion Criteria
2.7.1. Inclusion Criteria
- − People over 20 years old with T2DM,
- − Non-insulin-dependent diabetes mellitus,
- − Diabetes mellitus associated with malnutrition,
- − Unspecified diabetes mellitus.
2.7.2. Exclusion Criteria
- − Minors,
- − Records with incomplete information or missing data that prevent proper analysis,
- − Cases reported outside the 2013–2023 period,
- − Reported cases of type 1 diabetes (T1DM),
- − Insulin-dependent diabetes mellitus,
- − Other specified diabetes mellitus.
2.8. Ethical Considerations
3. Results
Disability Adjusted Life Years (DALYs)
4. Discussion
Implications for the Health Care System
5. Conclusions
- Allocation of resources: It is a priority to allocate specific funding, ideally from taxes on unhealthy products, to programs for the prevention of overweight and obesity, health education, and improved access to timely medical care.
- Promoting scientific research: Inter-institutional research on the social and biological determinants of T2DM should be strengthened, as well as the evaluation of effective interventions in different socio-cultural contexts to improve its prevention, diagnosis, and treatment.
- Evidence-based policy design: Interventions should be based on the best available scientific evidence, considering key aspects such as nutritional labeling, advertising regulation, and the promotion of healthy habits from early stages of life.
- Prevention from infancy: It is essential to implement interventions that promote proper nutrition, physical activity, and breastfeeding from pregnancy and early childhood, with emphasis on supporting mothers and caregivers.
- Continuous training of health personnel: Continuous training of primary care personnel should be guaranteed to improve early detection, comprehensive treatment, and effective follow-up of DM2, with a focus on education and nutritional control.
- Reorientation of the model of care: A structural change is proposed towards a preventive model of care, focused on reducing risk factors throughout the life course and promoting healthy lifestyles.
- Multidimensional strategies: The eradication of DM2 requires comprehensive approaches involving individuals, families, communities, and government sectors, including food, urban, and school policies that promote healthy environments.
- Monitoring and evaluation: It is essential to implement robust evaluation systems to measure the effectiveness of policies and their impact on the prevalence, mortality, and burden associated with DM2.
Study Limitations
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
TDM2 | Type 2 Diabetes Mellitus |
DALYs | Disability-Adjusted Life Years |
YLD | Years Lived with Disability |
YLL | Years of life lost |
References
- Craig, J.; Currie, J.; Holden, S.E.; Morgan, C.L.; Heywood, B.R.; Peters, J.R. The descriptive epidemiology of type 2 diabetes in the United Kingdom from 2004 to 2021. medRxiv 2024. [Google Scholar] [CrossRef]
- Cruz-López, M. The scientific evidence of the consequences of modernity. Gac. Med. Mex. 2022, 158 (Suppl. 1), 48–50. [Google Scholar] [CrossRef]
- Castro-Abreu, A.; López-Olmedo, N.; Rojas-Martínez, R.; Aguilar-Salinas, C.A.; Moreno-Banda, G.L.; Carnalla, M.; Rivera, J.A.; Romero-Martinez, M.; Barquera, S.; Barrientos-Gutiérrez, T. Prevalence of prediabetes and diabetes in Mexico: ENSANUT 2022. Salud Publica Mex. 2023, 65 (Suppl. 2), S163–S168. [Google Scholar] [CrossRef] [PubMed]
- Instituto Nacional de Salud Pública. Prevalence of Prediabetes and Diabetes in Mexico: ENSANUT 2022. 2023. Available online: https://www.insp.mx/avisos/prevalencia-de-prediabetes-y-diabetes-en-mexico-ensanut-2022 (accessed on 30 April 2025).
- Azeez, A.; Padma, E.P.; Lekha, P. Psychosocial facilitators and barriers to type 2 diabetes management in adults: A meta-synthesis. Curr. Diabetes Rev. 2024, 20, 110–123. [Google Scholar] [CrossRef]
- Mohammed, K.; Ali, J.; Pearson-Stuttard, J.; Selvin, E.; Gregg, E.W. Interpreting global trends in type 2 diabetes complications and mortality. Diabetologia 2022, 65, 3–13. [Google Scholar] [CrossRef]
- Mahajan, A.; Taliun, D.; Thurner, M.; Robertson, N.R.; Torres, J.M.; Rayner, N.W.; Payne, A.J.; Steinthorsdottir, V.; Scott, R.A.; Grarup, N.; et al. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 2018, 50, 1505–1513. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Vera-Ponce, V.J.; Loayza-Castro, J.A.; Zuzunaga-Montoya, F.E.; Sanchez-Tamay, N.M.; Bustamante-Rodríguez, J.C.; Valladolid-Sandoval, L.A.M.; Vásquez-Romero, L.E.M.; Gutiérrez de Carrillo, C.I. Prevalence and incidence of prediabetes in Latin America. A systematic review and meta-analysis. J. Diabetes Metab. Disord. 2024, 24, 25. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Romero Mireles, L.L.; Gaceta UNAM. Over 75% of the Population Is Overweight or Obese. 2022. Available online: https://www.gaceta.unam.mx/mas-de-75-de-la-poblacion-presenta-sobrepeso-u-obesidad/ (accessed on 30 April 2025).
- Rivera Dommarco, J.A.; Colchero, M.A.; Fuentes, M.L.; González de Cosío Martínez, T.; Aguilar Salinas, C.A.; Hernández Licona, G.; Barquera, S. Obesity in Mexico: State of Public Policy and Recommendations for Its Prevention and Control; Instituto Nacional de Salud Pública: Cuernavaca, Mexico, 2018. [Google Scholar]
- Instituto Nacional de Estadística y Geografía (INEGI). In Tabasco We Are 2,402,598 Inhabitants: Population and Housing Census 2020. 2021. Available online: https://inegi.org.mx/contenidos/saladeprensa/boletines/2021/EstSociodemo/ResultCenso2020_Tab.pdf (accessed on 30 April 2025).
- Secretaría de Salud. Dirección General de Información en Salud. Gobierno de México. 2022. Available online: https://www.gob.mx/salud/acciones-y-programas/direccion-general-de-informacion-en-salud-dgis (accessed on 30 April 2025).
- Instituto Nacional de Estadística y Geografía (INEGI). Interactive Mortality Tables. n.d. Available online: https://www.inegi.org.mx/app/tabulados/interactivos/?pxq=Mortalidad_Mortalidad_09_b87a4bf1-9b47-442a-a5fc-ee5c65e37648 (accessed on 30 April 2025).
- Secretaría de Salud. Incidence of Diseases in Mexico. n.d. Available online: https://epidemiologia.salud.gob.mx/anuario/html/incidencia_enfermedad.html (accessed on 30 April 2025).
- Murray, C.J.L.; Vos, T.; Lozano, R.; Naghavi, M.; Flaxman, A.D.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries, 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2197–2223. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization (WHO). WHO Methods and Data Sources for Global Burden of Disease Estimates 2000–2019; Technical Paper WHO/DDI/DNA/GHE/2020.3; WHO: Geneva, Switzerland, 2020. Available online: https://www.who.int/docs/default-source/gho-documents/global-health-estimates/ghe2019_daly-methods.pdf (accessed on 7 February 2025).
- Institute for Health Metrics and Evaluation (IHME). GBD Compare—Viz Hub: Global Burden of Disease Study 2021 Results for Mexico; University of Washington: Seattle, WA, USA, 2023; Available online: https://vizhub.healthdata.org/gbd-compare/ (accessed on 13 June 2025).
- Martínez, R.; García, S.; Rodríguez, G. Years of life lost due to premature death: A versatile and comprehensive measure for monitoring mortality from non-communicable diseases. Rev. Panam. Salud Publica 2019, 43, e254. [Google Scholar]
- Devleesschauwer, B.; Havelaar, A.H.; de Noordhout, C.M.; Haagsma, J.A.; Praet, N.; Dorny, P.; Duchateau, L.; Torgerson, P.R.; Van Oyen, H.; Speybroeck, N. Calculating disability-adjusted life years to quantify burden of disease. Int. J. Public Health 2014, 59, 565–569. [Google Scholar] [CrossRef] [PubMed]
- Kautzky Willer, A.; Leutner, M.; Harreiter, J. Sex differences in type 2 diabetes. Diabetologia 2023, 66, 1165. [Google Scholar] [CrossRef] [PubMed]
- Andrews, A. How Diabetes Affects Women Differently than Men. Living Smart Blog, St. Joseph’s/Candler. 25 April 2024. Available online: https://www.sjchs.org/living-smart-blog/blog-details/blog/2024/04/25/how-diabetes-affects-women-differently-than-men (accessed on 12 June 2025).
- Markandu, K.; Dekhne, A.; Islam, H.; Islam, R.; Maddineni, K.; Potluri, G.; Parisapogu, A.; Chinthapalli, M.T.; Desai, H.D. 1420-P: Global Burden and Trend of Type 2 DM in 38 OECD Countries from 1990–2019—A Benchmarking Systematic Analysis. Diabetes 2024, 73 (Suppl. 1), 1420-P. [Google Scholar] [CrossRef]
- Instituto Nacional de Estadística y Geografía (INEGI). Statistics on the Occasion of World Diabetes Day (14 November). 2021. Available online: https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2021/EAP_Diabetes2021.pdf (accessed on 30 April 2025).
- Fernández-Espejel, G. Comorbidities and COVID-19: Official Information on Mortality in Mexico (Working Document No. 378). Centro de Estudios Sociales y de Opinión Pública. 2022. Available online: https://portalhcd.diputados.gob.mx/PortalWeb/Micrositios/35a8ad35-88ac-483d-93dd-adcce8940b0e.pdf (accessed on 30 April 2025).
- Montoya, A.; Gallardo-Rincón, H.; Silva-Tinoco, R.; García-Cerde, R.; Razo, C.; Ong, L.; Stafford, L.; Lenox, H.; Tapia-Conyer, R. Type 2 diabetes epidemic in Mexico. Burden of disease 1990–2021 analysis and implications for public policies. Gac. Med. Mex. 2024, 159, 474–486. [Google Scholar] [CrossRef] [PubMed]
- Picó-Guzmán, F.J.; Martínez-Montañez, O.G.; Ruelas-Barajas, E.; Hernández-Ávila, M. Estimation of the economic impact of cardiovascular and diabetes mellitus complications 2019–2028. Rev. Med. Inst. Mex. Seguro Soc. 2022, 60, S86–S95. [Google Scholar] [PubMed] [PubMed Central]
- Hussain, A. Examining the computation of the underlying components of Disability-Adjusted Life Years. Health Policy Plan. 2023, 38, 648–654. [Google Scholar] [CrossRef]
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Hernández-Bartolo, D.R.; Quiroz-Gomez, S.; Guzmán-Priego, C.G.; Celorio-Méndez, K.d.S.; Juárez-Rojop, I.E.; Ble Castillo, J.L.; Guzmán-Moreno, M.; Romero Tapia, S.d.J.; Jiménez-Sastré, A.; López-Villarreal, S.M.; et al. Estimation of the Burden of Disease Due to Diabetes Mellitus Type 2 in the Population of Tabasco During the Period 2013–2023. Int. J. Environ. Res. Public Health 2025, 22, 997. https://doi.org/10.3390/ijerph22070997
Hernández-Bartolo DR, Quiroz-Gomez S, Guzmán-Priego CG, Celorio-Méndez KdS, Juárez-Rojop IE, Ble Castillo JL, Guzmán-Moreno M, Romero Tapia SdJ, Jiménez-Sastré A, López-Villarreal SM, et al. Estimation of the Burden of Disease Due to Diabetes Mellitus Type 2 in the Population of Tabasco During the Period 2013–2023. International Journal of Environmental Research and Public Health. 2025; 22(7):997. https://doi.org/10.3390/ijerph22070997
Chicago/Turabian StyleHernández-Bartolo, David Ricardo, Sergio Quiroz-Gomez, Crystell Guadalupe Guzmán-Priego, Karla del Socorro Celorio-Méndez, Isela Esther Juárez-Rojop, Jorge Luis Ble Castillo, Marisol Guzmán-Moreno, Sergio de Jesús Romero Tapia, Alejandro Jiménez-Sastré, Sonia Martha López-Villarreal, and et al. 2025. "Estimation of the Burden of Disease Due to Diabetes Mellitus Type 2 in the Population of Tabasco During the Period 2013–2023" International Journal of Environmental Research and Public Health 22, no. 7: 997. https://doi.org/10.3390/ijerph22070997
APA StyleHernández-Bartolo, D. R., Quiroz-Gomez, S., Guzmán-Priego, C. G., Celorio-Méndez, K. d. S., Juárez-Rojop, I. E., Ble Castillo, J. L., Guzmán-Moreno, M., Romero Tapia, S. d. J., Jiménez-Sastré, A., López-Villarreal, S. M., Rodríguez-Luis, O. E., & Villarreal-García, L. E. (2025). Estimation of the Burden of Disease Due to Diabetes Mellitus Type 2 in the Population of Tabasco During the Period 2013–2023. International Journal of Environmental Research and Public Health, 22(7), 997. https://doi.org/10.3390/ijerph22070997