Cardiometabolic risk in a colombian population with dietary profile low in fiber and polyunsaturated fatty acids.

Authors

  • Martha Nancy Calderón Ozuna UNIVERSIDAD NACIONAL DE COLOMBIA
  • Ginneth Lorena Riaño Ayala Universidad Nacional de Colombia
  • Claudia Lorena Cruz Hernández
  • Haiver Antonio Rodríguez Navarro
  • Julieth Daniela Buell Acosta
  • Luz Helena Aranzalez Ramírez

DOI:

https://doi.org/10.12873/431riano

Keywords:

Diabetes mellitus tipo 2, obesidad, índices aterogénicos, índices antropométricos, factores de riesgo y encuesta frecuencia de alimentos

Abstract

Introduction: Apparently healthy people are defined as people with normal body mass index (BMI) and normal blood pressure. Risk factors for metabolic and cardiovascular diseases can go unnoticed on this population. Early identification of risk factors for metabolic alterations can delay the development of pathologies, such as type 2 diabetes mellitus (T2DM) and its complications, which currently cause disability and death globally.

Objective: To evaluate metabolic and cardiovascular risk factors in apparently healthy Colombian adults between 40 and 70 years of age.

Methods: Volunteers were selected without antihypertensive or hypoglycemic medication, among other drugs. Basal glucose and complete serum lipid profile, anthropometric measurements and body composition were determined in each participant. The Finnish Diabetes Risk Score (FINDRISC), a food frequency and sociodemographic survey were completed.

Results: 535 volunteers completed the inclusion criteria. 70% of whom presented altered BMI. In 57%, a risk of developing DM2 within 10 years was detected, assessed between moderate and high by FINDRISC. Hyperglycemia was found in 23%, 2% in the diagnostic range for T2DM. Some form of dyslipidemia was found in 86% of the population and 66% presented cardiovascular risk. The nutritional analysis of macronutrients allowed detecting deficiency in the consumption of fiber, monounsaturated and polyunsaturated fatty acids.

Conclusions: A medical evaluation, with implementation of easily accessible and applicable tools such as FINDRISC, anthropometric and atherogenic indices, it was possible to detect in an apparently healthy population, alteration of BMI, with high cardiovascular risk and to DM2. The dietary pattern with Western-type characteristics may be one of the causes of the increase in the percentage of cardiovascular disease risk factors and metabolic alterations.

References

Pico Fonseca SM, Hernández Carrillo M, Muñoz Orozco LC. Spatial description of cardiovascular risk in the elderly population: Case of Cali - Colombia. Nutr Clin y Diet Hosp. 2022;42(2):133–41.

Hajar R. Risk Factors for Coronary Artery Disease: Historical Perspectives. Heart Views. 2017;18(3):109–14.

Lind L. Population-based cardiovascular cohort studies in Uppsala. Upsala Journal of Medical Sciences. 2019 Jan;124(1):16–20.

Pencina M, Navar A, Wojdyla D, Sanchez R, Khan I, Elassal J, et al. Quantifying Importance of Major Risk Factors for Coronary Heart Disease. Circulation. 2019 Mar;139(13):1603–11.

Madden A, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. Journal of Human nutrition and dietetics. 2016; 29 (1), 7-25, and (6) 714-732.

Holmes C, Racette S. The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology. Nutrients. 2021 Jul;13(8).

Hall M. Body Mass Index and Heart Failure Mortality. Journal of the American College of Cardiology: Heart failure Vol. 6. 2018. p. 243–5.

García G, Trujillo A, García V. Diet quality, general health and anthropometric outcomes in a Latin American population: Evidence from the Colombian National Nutritional Survey (ENSIN) 2010. Public Health Nutr. 2021;24(6):1385–92.

World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013 Nov;310(20):2191–4.

Bautista L, Herrán O, Pryer J. Development and simulated validation of a food-frequency questionnaire for the Colombian population. Public Health Nutrition. 2005;8(2):181–8.

Friedewald W, Levy R, Fredickson D. Estimation of the Concentration of Low-Density Lipoprotein Cholesterolin Plasma, Without Use of the Preparative Ultracentrifuge. Clin Chem. 2013;53(9):1689–99.

Ross R, Neeland I, Yamashita S, Shai I, Seidell J, Magni P, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nat Rev Endocrinol. 2020 Mar;16(3):177–89.

Ministerio de salud y proteccion social. Guía de práctica clínica para la prevención y seguimiento de dislipidemias en población mayor de 18 años. Inst evaluaciones Tecnol en salud [Internet]. 2014;(27).

Guía de práctica clínica para el diagnóstico, tratamiento y seguimiento de la diabetes mellitus tipo 2 en la población mayor de 18 años. 2015.

Sukkriang N, Chanprasertpinyo W, Wattanapisit A, Punsawad C, Thamrongrat N, Sangpoom S. Correlation of body visceral fat rating with serum lipid profile and fasting blood sugar in obese adults using a noninvasive machine. Heliyon. 2021;7(2).

Fappi A, Mittendorfer B. Different physiological mechanisms underlie an adverse cardiovascular disease risk profile in men and women. Proc Nutr Soc. 2020 May;79(2):210–8.

Baioumi A. Chapter 3 Comparing Measures of Obesity: Waist Circumference, Waist-Hip, and Waist-Height Ratios. Nutrition in the prevention and treatment of abdominal obesity Second Ed. 2019. p. 29–40.

Pulit S, Stoneman C, Morris A, Wood A, Glastonbury C, Tyrrell J, et al. Meta-analysis of genome-wide association studies for body fat distribution in 694.649 individuals of European ancestry. Hum Mol Genet. 2019 Jan;28(1):166–74.

Belalcazar S, Acosta E, Medina J, Salcedo M. Conventional biomarkers for cardiovascular risks and their correlation with the castelli risk index-indices and TG/c-HDL. Archivos Medicina (Manizales) 2020; 20(1):11-22.

García A, Buitrago P, Rodríguez M, Zambrano D. Índices Aterogénicos y Composición Corporal en Cadetes de una Escuela de Formación Militar Colombiana. Sanid Militar. 2020;76(1):13–8.

Institute of Medicine. Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. Washington, DC: The National Academies Press. 2006. https://doi.org/10.17226/11537.

Herrán O, Gamboa E, Zea M. Energy and protein intake in the Colombian population: results of the 2015 ENSIN population survey. J Nutr Sci. 2021;1–10.

Schwingshackl L, Zähringer J, Beyerbach J, Werner S, Heseker H, Koletzko B, et al. Total dietary fat intake, fat quality, and health outcomes: a scoping review of systematic reviews of prospective studies. Annals Nutrition and Metabolism. 2021;77(1):4–15.

Camerotto C, Cupisti A, D’Alessandro C, Muzio F, Gallieni M.

Dietary fiber and gut microbiota in renal diets. Nutrients. 2019;11(9):1–15.

Slavin J. Position of the American Dietetic Association: Health implications of dietary fiber. J Am Diet Assoc. 2008 Oct;108(10): 1716–31.

Guan Z, Yu E, Feng Q. Soluble dietary fiber, one of the most important nutrients for the gut microbiota. Molecules. 2021;26(22): 1–15.

Poznyak A, Grechko A, Poggio P, Myasoedova V, Alfieri V, Orekhov A. The diabetes mellitus–atherosclerosis connection: The role of lipid and glucose metabolism and chronic inflammation. Int J Mol Sci. 2020;21(5):1–13.

The World Health Organization. Malnutrition [Internet]. 2018 y 2021.

Suárez W, Sánchez A. Índice de masa corporal: ventajas y desventajas de su uso en la obesidad. Relación con la fuerza y la actividad física. Nutr Clin Med. 2018;XII(3):128–39.

Ding C, Chan Z, Magkos F.The “metabolically Obese, NormalWeight’ Phenotype.”. Curr Opin Clin Nutr Metab Care. 2016;19(6): 408–17.

Rojas Y, Garzón A, Hernández F, Pacheco B, González D, Campos J, et al. Burden of Disease Attributable to Obesity and Overweight in Colombia. Value Heal Regional Issues. 2019;20(40): 66–72.

Anderson J, Baird P, Davis R, Ferreri S, Knudtson M, Koraym A, et al. Health benefits of dietary fiber. Nutr Rev. 2009;67(4):188–205.

Vilcanqui F, Vílchez C. Fibra dietaria: nuevas definiciones, propiedades funcionales y beneficios para la salud. Revisión. Arch Latinoam Nutr. 2017;67(2):146–56.

Romero M, Vasquez E, Acero G. Estimación de los costos directos de los eventos coronarios en Colombia. Rev Colomb Cardiol. 2018;25(6).

Published

2023-03-23 — Updated on 2023-05-23

How to Cite

Calderón Ozuna, M. N., Riaño Ayala, G. L., Cruz Hernández, C. L., Rodríguez Navarro, H. A., Buell Acosta, J. D. ., & Aranzalez Ramírez, L. H. . (2023). Cardiometabolic risk in a colombian population with dietary profile low in fiber and polyunsaturated fatty acids. Nutrición Clínica Y Dietética Hospitalaria, 43(1). https://doi.org/10.12873/431riano

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