Total body fat as a possible indicator of metabolic syndrome in adults

Authors

  • Edgar Navarro Lechuga Departamento de Salud Pública. Universidad del Norte
  • Rusvelt Franklin Vargas Moranth Universidad Metropolitana Universidad de Cartagena, Colombia.
  • Adalgisa Esther Alcocer Olaciregui Universidad Metropolitana

DOI:

https://doi.org/10.14306/renhyd.20.3.216

Keywords:

Metabolic Syndrome X, Adipose Tissue, Bioimpedance, Cardiovascular Diseases, Insulin Resistance

Abstract

Introduction: The metabolic syndrome is a set of factors related to insulin resistance, which increases the likelihood of coronary events. It is important timely onset identifying to reduce its prevalence. Objective: To explore the percentage of total body fat as indicator of metabolic syndrome in adults from Soledad, Colombia.

Material and Methods: Cross-sectional study. n=99 adults (non-pregnant, nor subjects with psychomotor disturbances). Blood samples were taken: total cholesterol, HDL; triglycerides and glucose. Waist circumference, Body Mass Index and body fat by bioimpedance and skinfold thickness were measured. Diagnosis of metabolic syndrome was made according to NHLBI/AHA, ATP III and IDF criteria. Subjects with and without metabolic syndrome according to total body fat averages were compared.

Results: The average percentage of body fat was higher (p<0.05) in men and women with metabolic syndrome, using the three criteria, than those without metabolic syndrome, other (p>0.05) in the classification according to ATP III in women, where the average fat percentage was 39.31 % in those with metabolic syndrome and 37.7% in those not suffering.

Conclusions: Subjects with metabolic syndrome have higher mean total body fat, significantly, compared with those who did not, so it could be considered the values of total body fat obtained by bioimpedance as future indicators of metabolic syndrome, both as screening and control.

Author Biographies

Edgar Navarro Lechuga, Departamento de Salud Pública. Universidad del Norte

Médico Cirujano, Magíster en Epidemiología

Docente Investigador Departamento de Salud Pública Universidad del Norte

Coordinador Maestría en Epidemiología Universidad del Norte

Rusvelt Franklin Vargas Moranth, Universidad Metropolitana Universidad de Cartagena, Colombia.

Médico cirujano, Magíster en Salud Pública

Docente investigador Universidad Metropolitana

Estudiante Doctorado en Ciencias Biomédicas Universidad de Cartagena

Adalgisa Esther Alcocer Olaciregui, Universidad Metropolitana

Ingeniera de Sistemas, Magíster en Epidemiología

Docente investigadora Universidad Metropolitana

Profesional en Entrenamiento Field Epidemiology Training Program

Profesional Especializado Secretaría Distrital de Salud Barranquilla

References

(1) Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes. 1988; 37(12): 1595-607.

(2) Ford ES, Giles WH. A comparison of the prevalence of the metabolic syndrome using two proposed definitions. Diabetes Care. 2003; 26(3): 575-81.

(3) Martínez de Morentin BE, Rodríguez MC, Martínez JA. Síndrome metabólico, resistencia a la insulina y metabolismo tisular. Endocrinol Nutr. 2003; 50(8): 324-33.

(4) Corbatón A, Cuervo R, Serrano M. Síndrome Metabólico. Una gran epidemia en el anciano. En: La diabetes mellitus tipo 2: un problema geriátrico en alza. Madrid: Editores Médicos; 2004. p. 45-62. (Clínicas Geriátricas).

(5) Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004; 350(23): 2362-74.

(6) Pérez F, Mora G, Díez J. Epidemiología. Impacto del síndrome metabólico en la salud pública en España. Med Clin Monogr. 2006; 7: 8-12.

(7) Park Y-W, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med. 2003; 163(4): 427-36.

(8) Navarro E, Vargas R. Síndrome metabólico en el suroccidente de Barranquilla (Colombia). Salud Uninorte Barranquilla. 2008; 24(1) :40-52.

(9) Isomaa B, Almgren P, Tuomi T, Forsén B, Lahti K, Nissén M, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 2001; 24(4): 683-9.

(10) Lakka H-M, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002; 288(21): 2709-16.

(11) National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002; 106(25): 3143-421.

(12) International Diabetes Federation. IDF Consensus Worldwide Definition of the Metabolic Syndrome. IDF; 2006.

(13) Grundy SM, Brewer HB, Cleeman JI, Smith SC, Lenfant C, American Heart Association, et al. Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004; 109(3): 433-8.

(14) Bray GA, Paeratakul S, Popkin BM. Dietary fat and obesity: a review of animal, clinical and epidemiological studies. Physiol Behav. 2004; 83(4): 549-55.

(15) Donahoo W, Wyatt HR, Kriehn J, Stuht J, Dong F, Hosokawa P, et al. Dietary fat increases energy intake across the range of typical consumption in the United States. Obesity. 2008; 16(1):64-9.

(16) Field AE, Willett WC, Lissner L, Colditz GA. Dietary fat and weight gain among women in the Nurses’ Health Study. Obesity. 2007; 15(4): 967-76.

(17) Donnelly JE, Sullivan DK, Smith BK, Jacobsen DJ, Washburn RA, Johnson SL, et al. Alteration of dietary fat intake to prevent weight gain: Jayhawk Observed Eating Trial. Obesity. 2008; 16(1): 107-12.

(18) Thomas EL, Saeed N, Hajnal JV, Brynes A, Goldstone AP, Frost G, et al. Magnetic resonance imaging of total body fat. J Appl Physiol. 1998; 85(5): 1778-85.

(19) Fox CS, Gona P, Hoffmann U, Porter SA, Salton CJ, Massaro JM, et al. Pericardial fat, intrathoracic fat, and measures of left ventricular structure and function: the Framingham Heart Study. Circulation. 2009; 119(12): 1586-91.

(20) Levine JA, Ray A, Jensen MD. Relation between chubby cheeks and visceral fat. N Engl J Med. 1998; 339(26): 1946-7.

(21) Kelley DE. Skeletal muscle triglycerides: an aspect of regional adiposity and insulin resistance. Ann N Y Acad Sci. 2002; 967: 135-45.

(22) Hormiguera X. Circunferencia de la cintura y riesgo cardiovascular en población española. Clin Invest Arterioscl. 2007; 19(2): 90-1.

(23) Patterson E. International Physical Activity Questionnaire. Short last 7 days self-administered version of the IPAQ. USA Spanish version translated [Internet]. 2002. Disponible en: https://sites.google.com/site/theipaq/questionnaire_links

(24) Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998; 15(7): 539-53.

(25) Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005; 112(17): 2735-52.

(26) Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness:

measurements on 481 men and women aged from 16 to 72 years. Br J Nutr. 1974; 32(1): 77-97.

(27) Siri WE. Body composition from fluid spaces and density: Analysis of methods. En: Brozek J, Henschel A, editores. Techniques for Measuring Body Composition. Washington, DC: National Academy of Sciences; 1961. p. 223-44.

(28) Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991; 65(2): 105-14.

(29) Lean ME, Han TS, Deurenberg P. Predicting body composition by densitometry from simple anthropometric measurements. Am J Clin Nutr. 1996; 63(1): 4-14.

(30) Valtueña S, Arija V, Salas-Salvadó J. Estado actual de los métodos de evaluación de la composición corporal: descripción, reproducibilidad, precisión, ámbitos de aplicación, seguridad, coste y perspectivas de futuro. Med Clin (Barc). 1996; 106(16): 624-35.

(31) Lohman TG. Skinfolds and body density and their relation to body fatness: a review. Hum Biol. 1981; 53(2): 181-225.

(32) Bray GA, Greenway FL, Molitch ME, Dahms WT, Atkinson RL, Hamilton K. Use of anthropometric measures to assess weight loss. Am J Clin Nutr. 1978; 31(5): 769-73.

(33) Valero MA, León-Sanz M, Gómez I, Martínez G, Hawkins F. Comparación entre absorciometría de doble fotón (DEXA), impedancia y antropometría en el estudio de la composición corporal en personas obesas. Nutr Hosp. 1994; 9(1): 12-7.

(34) Rush EC, Plank LD, Laulu MS, Robinson SM. Prediction of percentage body fat from anthropometric measurements: comparison of New Zealand European and Polynesian young women. Am J Clin Nutr. 1997; 66(1): 2-7.

(35) Núñez C, Carbajal A, Turrero E, Moreiras O. Contribución al estudio de la composición corporal de un grupo de mujeres jóvenes mediante análisis de impedancia bioeléctrica. Nutr Hosp. 1994; 9(4): 262-7.

(36) Martín V, Gómez JB, Antoranz MJ, Gómez A. Concordancia entre los porcentajes de grasa corporal estimados mediante el área adiposa del brazo, el pliegue del tríceps y por impedanciometría brazo-brazo. Rev Esp Salud Publica. 2003; 77(3): 347-61.

(37) Arroyo M, Rocandio AM, Ansotegui L, Plaza M, Ojanguren A, Antón O, et al. Comparación de diferentes métodos en la estimación de la grasa corporal en estudiantes universitarios. Nutr Hosp. 2004; 19(s01): 78.

(38) Martín V, Gómez JB, Antoranz MJ. Medición de la grasa corporal mediante impedancia bioeléctrica, pliegues cutáneos y ecuaciones a partir de medidas antropométricas. Análisis comparativo. Rev Esp Salud Publica. 2001; 75(3): 221-36.

(39) Rivas R, Marrodán MD, Prado C, Cáceres I. Estudios de composición corporal en la población femenina de Lozoya Somosierra (Madrid). Comparación metodológica de la estimación del porcentaje de grasa. En: Egocheaga JE, editor. Biología de poblaciones humanas: diversidad, tiempo, espacio. Oviedo, Spain: Universidad de Oviedo; 2004. p. 441-50.

(40) Oliveira RMS, Franceschini S do CC, Rosado GP, Priore SE. Influencia del Estado Nutricional Previo sobre el Desarrollo del Síndrome Metabólico en Adultos. Arq Bras Cardiol. 2009; 92(2): 107-12.

(41) Campos-Mondragón MG, Oliart-Ros RM, Méndez-Machado GF, Angulo-Guerrero O. Síndrome Metabólico y su correlación con los niveles séricos de urea, creatinina y ácido úrico en adultos de Veracruz. Revista Biomédica. 2010; 21(2): 67-75.

Published

2016-09-30

How to Cite

Navarro Lechuga, E., Vargas Moranth, R. F., & Alcocer Olaciregui, A. E. (2016). Total body fat as a possible indicator of metabolic syndrome in adults. Spanish Journal of Human Nutrition and Dietetics, 20(3), 198–207. https://doi.org/10.14306/renhyd.20.3.216