Everything turns into sugar: Relationship between diet and non-communicable diseases mortality in Ecuador
Dieta y enfermedades no transmisibles: evidencia en Ecuador
DOI:
https://doi.org/10.33936/qkrcs.v9i2.7153Keywords:
Noncommunicable diseases, nutrients, mortality, health policyAbstract
This study evaluated the relationship between the protein-and-fat-to-carbohydrate index (ipfC) and mortality from non-communicable diseases (NCDs) in Ecuador, proposing strategies to improve diet quality through nutritional interventions. An observational, ecological, and retrospective study was conducted using national data from 2002 to 2023. Descriptive statistics, Pearson correlation analyses between ipfC, NCD mortality (tmENT), and relative annual inflation (raIR), as well as simple and multivariable linear regression models estimated by ordinary least squares (OLS), were performed, including significance tests, residual diagnostics, and scenario-based projections. A strong negative correlation was observed between ipfC and NCD (r = −0.69), indicating that higher ipfC levels are associated with lower NCD mortality. Multivariable analysis showed that ipfC had a statistically significant effect on NCD (coef = −8.66; p = 0.008), whereas raIR was not statistically significant. Projections suggest that a 2 % annual reduction in carbohydrate consumption could accelerate the decline in NCD mortality. Low-carbohydrate diets prioritizing proteins and healthy fats are effective in the prevention and control of type 2 diabetes and cardiovascular diseases by reducing glucose peaks, improving insulin sensitivity, and decreasing chronic inflammation. This study suggests reallocating unspent public health budget funds to implement economic incentives, such as vouchers for the purchase of protein-rich foods, to improve diet quality in the Ecuadorian population.
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References
1. Organización Mundial de la Salud. Informe global sobre enfermedades no transmisibles 2018. Ginebra: OMS; 2018.
2. Banco Mundial. Mortalidad por enfermedades cardiovasculares, cáncer, diabetes o enfermedades respiratorias crónicas entre los 30 y 70 años (%) [Internet]. Washington (DC): Banco Mundial; s.f. [citado 31 dic 2025]. Disponible en: https://datos.bancomundial.org/indicador/SH.DYN.NCOM.ZS?locations=EC-IS-NG
3. Paoli A, Rubini A, Volek JS, Grimaldi KA. Beyond weight loss: a review of the therapeutic uses of very-low-carbohydrate (ketogenic) diets. Eur J Clin Nutr. 2020;12(3):838. doi: https://doi.org/10.1038/ejcn.2013.116
4. Ludwig DS, Ebbeling CB. The carbohydrate-insulin model of obesity: beyond “calories in, calories out”. JAMA Intern Med. 2020;180(8):1090–5. doi:10.1001/jamainternmed.2020.2716
5. Saltiel AR, Olefsky JM. Inflammatory mechanisms linking obesity and metabolic disease. JAMA Intern Med. 2017;127(1):1–4. doi: https://doi.org/10.1001/jamainternmed.2018.2933
6. Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada ML, Jaime PC. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2021;24(5):936–41. doi: https://doi.org/10.1017/S1368980018003762
7. Biesalski HK. Meat as a component of a healthy diet: are there any risks or benefits if meat is avoided in the diet? Meat Sci. 2005;70(3):509–24. doi: https://doi.org/10.1016/j.meatsci.2004.07.017
8. Ishida H. The history, current status, and future directions of the school lunch program in Japan. Jpn J Nutr Diet. 2018;76(Suppl)–S11. Doi: https://doi.org/10.5264/eiyogakuzashi.76.S29
9. Our World in Data. Per capita sources of protein [Internet]. Oxford: Our World in Data; [citado 31 dic 2025]. Disponible en: https://ourworldindata.org/grapher/per-capita-sources-of-protein?time=latest&country=ECU~NGA~ISL&tableFilter=selection
10. Sistema de Información Pública Agropecuaria (SIPA). Manual de la Hoja de Balance de Alimentos (HDBA) 2023 [Internet]. Quito (EC): SIPA – Ministerio de Agricultura y Ganadería; 2024 [citado 31 dic 2025]. Disponible en: https://sipa.agricultura.gob.ec/descargas/metodologias/hdba/hdba_manual_2023.pdf
11. Instituto Nacional de Estadística y Censos (INEC). Encuesta Nacional de Salud y Nutrición (ENSANUT) – Tomo II [Internet]. Quito (EC): INEC; s.f. [citado 31 dic 2025]. Disponible en: https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_Sociales/ENSANUT/ENSANUT_TOMOII.pdf
12. Instituto Nacional de Estadística y Censos (INEC). ENSANUT ajustada 2018 [Internet]. Quito (EC): INEC; 2019 [citado 31 dic 2025]. Disponible en: https://www.ecuadorencifras.gob.ec/ensanut-ajustada-2018/
13. Instituto Nacional de Estadística y Censos (INEC). Actividad física 2023 [Internet]. Quito: INEC; 2023. Disponible en: https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_Sociales/Actividad_fisica/2023/Actividad_Fisica.pdf [Citado 31 Dic 2025].
14. Levine ME, Suarez JA, Brandhorst S, Balasubramanian P, Cheng CW, Madia F, et al. Low protein intake is associated with a major reduction in IGF-1, cancer, and overall mortality in the 65 and younger but not older population. Cell Metab. 2014;19(3):407–17. doi: https://doi.org/10.1016/j.cmet.2014.02.006
15. Ministerio de Economía y Finanzas (Ecuador). Ejecución presupuestaria [Internet]. Quito (EC): Ministerio de Economía y Finanzas; s.f. [citado 31 dic 2025]. Disponible en: https://www.finanzas.gob.ec/ejecucion-presupuestaria
16. Constitución de la República del Ecuador. Disposición transitoria vigesimosegunda. Quito (EC): Asamblea Nacional del Ecuador; 2008.
17. Mozaffarian D, Angell SY, Lang T, Rivera JA. Role of government policy in nutrition—barriers to and opportunities for healthier eating. BMJ. 2020;361:k2426. doi: https://doi.org/10.1136/bmj.k2426
18. Banco Central del Ecuador. Inflación — estadísticas y series históricas [Internet]. Quito (EC): Banco Central del Ecuador; s.f. [citado 31 dic 2025]. Disponible en: https://contenido.bce.fin.ec/documentos/Administracion/bi_menuInflacion.html
19. Banco Mundial. Esperanza de vida al nacer (años) [Internet]. Washington (DC): Banco Mundial; s.f. [citado 31 dic 2025]. Disponible en: https://datos.bancomundial.org/indicador/SP.DYN.LE00.IN?locations=EC-HK-BD
20. Ekelund U, Tarp J, Steene-Johannessen J, Hansen BH, Jefferis B, Fagerland MW, et al. Dose-response associations between accelerometry-measured physical activity and sedentary time and all-cause mortality: systematic review and harmonised meta-analysis. BMJ. 2019;366:l4570. doi: https://doi.org/10.1136/bmj.l4570
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