Skip to main navigation menu Skip to main content Skip to site footer

Vol. 7 No. 2 (2022)
Salud y Sociedad Uptc Número 2022 Volumen 7 número 2

Artículos originales

Body composition by impedanciometry of the employees of a high complexity health institution in Tunja

Published 2022-11-17 — Updated on 2022-11-25

  • Leidy Yolima Balaguera
    • ,
  • Yenny Maritza Corredor
    • ,
  • Mary Andrea Higuita
    • ,
  • Lina Rocio del Pilar Tarazona Silva
    • ,
  • Adriana Patricia González Castañeda
    • ,
  • Ledmar Jovanny Vargas Rodríguez

Leidy Yolima Balaguera
Universidad Pedagogica y Tecnologica de Colombia

Yenny Maritza Corredor


Mary Andrea Higuita


Lina Rocio del Pilar Tarazona Silva
Residente Medicina Familiar UPTC

Adriana Patricia González Castañeda
Médica Especialista en Endocrinología, Hospital Universitario San Rafael, Tunja, Colombia.

Ledmar Jovanny Vargas Rodríguez
Universidad de Boyacá

Abstract

Introduction: The nutritional status of the general population is important because of the implications with metabolic pathologies, so tools or methods should be used to evaluate it accurately to guide an adequate individual treatment.

Objective: To determine body composition by means of impedanciometry in health personnel in a high complexity institution in the city of Tunja, Boyacá.

Methodology: An observational, descriptive and cross-sectional study was carried out in which employees of the Hospital Universitario San Rafael de Tunja were included, where all of them were summoned for voluntary participation, an informed consent was applied, and then anthropometric measurements were taken. All the data were collected by the researchers in the Excel program version 2013 and analyzed in the statistical program SPSS version 22.

Results: A total of 114 employees of the institution participated in the study. The 74.56% were women, the average age of the general population was 38.39 (SD 11.68 years). Of the total participants, 48.24% had normal nutritional status, 42.10% in overweight, 8.77% in grade I obesity and 0.87% in grade II obesity.

Conclusions: The percentage of people with elevated body mass indexes is more than 50%, which should be allowed or generate the implementation of prevention and control strategies to avoid the appearance of chronic secondary diseases and their repercussions.

Keywords

adult, Body mass index, Bioelectrical impedance, Body composition

PDF (Español)

References

  • OMS OMdls. Obesidad y sobrepeso. [Online].; 2021 [cited 2021 Abril 26. Available from: https://www.who.int/es/news-room/fact-sheets/detail/obesity-and-overweight.
  • CARRASCO F, Carrasco, N. Identificación del fenotipo ahorrador para la personalización del manejo del sobrepeso y la obesidad. Revista Médica Clínica Las Condes. 2022,; 33(2): p. 154-162.
  • Garvey WT MJ, Brett E, Garber A, Hurley D, Jastreboff A. American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Revista clínica española, 2020. 2016; 3(1).
  • ARRIETA, , J P. Recognizing obesity as a disease: A true challenge. Revista clínica española. 2020 Noviembre; 221(9): p. (9): 544–546.
  • Wharton , et a. Obesity in adults: a clinical practice guideline. CMAJ. 2020 August; 4(192).
  • Álvarez MMA, Gargallo Vaamonde , Llavero Valero M. Actualización clínica de la obesidad y el sobrepeso. Medicine-Programa de Formación Médica Continuada Acreditado. 2020,; vol. 13,(14): p. 777-786.
  • Bray GA, Heisel WE, Afshin , Et a. The Science of Obesity Management: An Endocrine Society Scientific Statement. Endocr Rev. 2018 Marzo; 39(2): p. 79–132.
  • Schwartz MW, Seeley RJ, Zel LM, Drewnowski , Ravussin , Redm LM. Obesity Pathogenesis: An Endocrine Society Scientific Statement. Endocr Rev. 2017 Agosto; 1(38).
  • Kuriyan. Body composition techniques. Indian J Med Res. 2018 Noviembre; 148(5): p. 648–658.
  • Rosero RJ, Polanco JP, Ciro , Uribe , Manrique H, Sánchez PE. Proposal for a Multidisciplinary Clinical Approach to Obesity. Journal of Medical - Clinical Research & Reviews. 2020 Diciembre; 4(12).
  • Garzón Orjuela N, Barrera Perdomo Mdp, Gutiérrez Sepúlveda MP, Merchán Chaverr R, León Avendaño AC, Caicedo Torres LM, et al. Análisis de la composición corporal mediante impedancia bioeléctrica octopolar en pacientes hospitalizados en Bogotá D.C., Colombia. Estudio piloto / Body composition by octopolar bioelectrical impedance in hospitalized patients in Bogotá D.C., Colombia:. Rev. Fac. Med. (Bogotá). 2019 Julio; 67(3).
  • Silleras BdM, Cruz Mar , Alonso Izquierdo , Camina Martín MA, Miguelsanz JM, Redon MP. Bioelectrical impedance vector analysis in obese and overweight children. Plos one. 2019 Enero.
  • Quesada Leyva L. Elementos teóricos y prácticos sobre la bioimpedancia eléctrica en salud. Camagüey. 2016 Octubre; 20(5).
  • Kyle UG, Schutz Y, Dupertuis YM, Pichard C. Body composition interpretation. Contributions of the fat-free mass index and the body fat mass index. Nutrition [Internet]. 2003;19(7–8):597–604. Disponible en: http://dx.doi.org/10.1016/s0899- 9007(03)00061-3
  • McLester CN, Dewitt AD, Rooks R, McLester JR. An investigation of the accuracy and reliability of body composition assessed with a handheld electrical impedance myography device. EJSS (Champaign) [Internet]. 2018 [citado el 26 de junio de 2022];18(6):763–71. Disponible en: https://pubmed.ncbi.nlm.nih.gov/29544083/
  • Achamrah N, Colange G, Delay J, Rimbert A, Folope V, Petit A, et al. Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures. PLoS One [Internet]. 2018 [citado el 26 de junio de 2022];13(7):e0200465. Disponible en: https://pubmed.ncbi.nlm.nih.gov/30001381/
  • Wingo BC, Barry VG, Ellis AC, Gower BA. Comparison of segmental body composition estimated by bioelectrical impedance analysis and dual-energy X-ray absorptiometry. Clin Nutr ESPEN [Internet]. 2018;28:141–7. Disponible en: http://dx.doi.org/10.1016/j.clnesp.2018.08.013
  • Caceres DI. Variabilidad de la composición corporal medida con bioimpedanciometría eléctrica según condiciones de realización: influencia del ayuno y del reposo. Nutriccion Hospitalaria. 2014; 30 (6).
  • Muñoz S, Vega Z, Berra E, Nava C, Gómez. Asociación entre estrés, afrontamiento, emociones e IMC en adolescentes. Revista Intercontinental de. 2015; 17(1).
  • Asociación Médica Mundial. Declaración de Helsinki de la Asociación Médica Mundial. Principios éticos para las investigaciones médicas en seres humanos. Fortaleza: 64.a Asamblea General de la AMM; 2013 [cited 2019 May 10]. Available from: https://goo.gl/hvf7l
  • Colombia. Ministerio de Salud. Resolución 8430 de 1993 (octubre 4: Por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud. Bogotá D.C.; octubre 4 de 1993
  • Buss J. Limitations of Body Mass Index to Assess Body Fat. Workplace Health Saf. 2014;62(6):264. http://doi.org/c5m6.
  • Wells JC, Fewtrell MS. Measuring body composition. Arch Dis Child. 2005;91(7):612-7. http://doi.org/cfjbzk.
  • Camhi SM, Bray GA, Bouchard C, Greenway FL, Johnson WD, Newton RL, et al. The Relationship of Waist Circumference and BMI to Visceral, Subcutaneous, and Total Body Fat: Sex and Race Differences. Obesity (Silver Spring). 2011;19(2):402-8. http://doi.org/d8pp96.
  • Lovejoy JC, de la Bretonne JA, Klemperer M, Tulley R. Abdominal fat distribution and metabolic risk factors: effects of race. Metab Clin Exp 1996; 45: 1119– 1124
  • Rahman M, Temple JR, Breitkopf CR, Berenson AB. Racial differences in body fat distribution among reproductive-aged women. Metab Clin Exp 2009; 58: 1329– 1337
  • Demerath EW, Sun SS, Rogers N et al. Anatomical patterning of visceral adipose tissue: race, sex, and age variation. Obesity (Silver Spring) 2007;15:2984– 2993.
  • Bouchard C. BMI, fat mass, abdominal adiposity and visceral fat: where is the ‘beef’? Int J Obes (Lond) 2007;31:1552–1553.
  • Moreno-González MI. Circunferencia de cintura: una medición importante y útil del riesgo cardiometabólico. Rev Chil Cardiol. 2010;29(1):85-7.http://doi.org/c9vxn9
  • Kuk JL, Lee S, Heymsfield SB, Ross R. Waist circumference and abdominal adipose tissue distribution: influence of age and sex. Am J Clin Nutr. 2005;81(6):1330-4. http://doi.org/c5m7
  • Kim SJ, Yu E-H, Min JH, Shin Y-I, Ko H-Y, Ko S-H. Segmental bioelectrical impedance analysis of the body composition of affected and unaffected limbs after hemiparetic stroke. Am J Phys Med Rehabil [Internet]. 2020 [citado el 26 de junio de 2022];99(9):830–6. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32251105/
  • Casirati A, Vandoni G, Della Valle S, Greco G, Platania M, Colatruglio S, et al. Nutritional status and body composition assessment in patients with a new diagnosis of advanced solid tumour: Exploratory comparison of computed tomography and bioelectrical impedance analysis. Clin Nutr [Internet]. 2021 [citado el 26 de junio de 2022];40(3):1268–73. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32873437/

Downloads

Download data is not yet available.

Most read articles by the same author(s)