Cineanthropometric characterization of the population attending the Las Americas Clinic. An observational, retrospective study
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Keywords

Obesity
body composition
cardiovascular risk

How to Cite

Rosero, R. J., Polanco, J. P., Jaramillo, A., Cossio, I., Gómez, A. M., Atehortúa, A. M., Loaiza, S., & Palacio, J. I. (2019). Cineanthropometric characterization of the population attending the Las Americas Clinic. An observational, retrospective study. Revista Colombiana De Endocrinología, Diabetes &Amp; Metabolismo, 6(1), 13–21. https://doi.org/10.53853/encr.6.1.463

Abstract

Introduction: The Body Mass Index (BMI) is a simple weight by height parameter that is commonly used to classify underweight, overweight and obese in adults. This does not allow to distinguish between the muscle mass or fat mass. As a result, the relationship between BMI and body fat content varies according to constitution and body proportion, demonstrating repeatedly that a certain BMI does not adjust to the degree of risk or disease among different populations(1,2).

Objective: Characterize the cineanthropometric biotype and the cardiovascular risk by anthropometry according to BMI of the population attending the Obesity, Dismetabolism and Sports Center (COD2), of the Las Americas Clinic in the city of Medellín.

Material and methods: We conducted a retrospective observational study of the population over 18 years old, who attended COD2 between the months of July to December 2017, determining anthropometry index and body composition. These values were correlated between the different degrees of obesity.

Results: Among the study population, 41% of the male population and 55% of the female population with normal weight or overweight by BMI, presented body fat percentage (BFP) in obesity ranges. This was correlated with statistically significant alterations in waist circumference, waist-hip index and visceral fat (p <0.001).

Conclusions: There is a high number of individuals with abnormal anthropometric indexes, with normal weight or overweight, to which other more individualized measurement tools such as body composition, may favor an early intervention. Larger population study is needed to determine the different phenotypes in Colombia and their impact on health.

https://doi.org/10.53853/encr.6.1.463
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References

1. Craig PL. Body composition differences between Polynesians and Caucasians assessed by bioelectrical impedance Differences in body composition between Tongans and Australians : time to rethink the healthy weight ranges ? 2014.
2. World Health Organization. Obesity: Preventing and managing the global epidemic. Report of a WHO Consultation 2004.
3. Haslam DW, James WP, Obesity. Lancet 2005; 366: 1197-1209.
4. Hamann A. Obesity Update 2017. Diabetologe [Internet] 2017; 13(5): 33141. Available from: www.oecd.org/health/obesity-update.htm
5. ICBF. Encuesta Nacional de la Situación Nutricional 2015; 1-58. Available from:
http://www.culturarecreacionydeporte.gov.co/sites/default/ files/2015_diseno-general-ensin.pdf
6. Abdelaal M, le Roux CW, Docherty NG. Morbidity and mortality associated with obesity. Ann Transl Med [Internet] 2017; 5(7):161. Available from: http://atm.amegroups.com/article/view/14394/14547
7. Shuval K, Barlow CE, Finley CE, Gabriel KP, Schmidt MD, Defina LF. Standing, obesity, and metabolic syndrome findings from the cooper center longitudinal study. Mayo Clin Proc. 2015; 90(11): 1524-32.
8. Frühbeck G, Diez-Caballero A, Gómez-Ambrosi J, Cienfuegos JA, et al. Preventing obesity. Doctors underestimate obesity. BMJ 2003; 326(7380): 102-3.
9. Frühbeck G. Screening and interventions for obesity in adults. Ann Intern Med. 2004 Aug 3;141(3):245-6
10. Wildman RP, Muntner P, Reynolds K, Mcginn AP. The Obese Without Cardiometabolic Risk Factor Clustering and the Normal Weight With Cardiometabolic Risk Factor Clustering. Arch Intern Med. 2013; 168(15): 1617-24.
11. Frühbeck G. Screening and interventions for obesity in adults. Ann Intern Med 2004; 141: 245-246; author reply 246.
12. Das SK. Body composition measurement in severe obesity. Curr Opin Clin Nutr Metab Care. 2005; 8: 602-606.
13. Fields DA, Goran MI, McCrory MA. Body- composition assessment via airdisplacement plethysmography in adults and children: a review. Am J Clin Nutr. 2002; 75: 453- 467.
14. Ginde SR, Geliebter A, Rubiano F, et al. 14. Air displacement plethysmography: validation in overweight and obese subjects. Obes Res. 2005; 13: 1232-1237.
15. Heo M, Faith MS, Pietrobelli A, Heymsfield SB. Percentage of body fat cutoffs by sex, age, and race-ethnicity in the US adult population from NHANES 1999-2004. 2012; 594-602.
16. Javier Gómez-Ambrosi, Camilo Silva, Victoria Catalán, Amaia Rodríguez, Juan Carlos Galofré, Javier Escalada, Victor Valentí, et al. Clinical Usefulness of a New Equation for Estimating Body Fat. Blood Press. 2012; 1-6.
17. Catalán V, Gómez-Ambrosi J, Ramirez B, Rotellar F, Pastor C, Silva C, et al. Proinflammatory cytokines in obesity: Impact of type 2 diabetes mellitus and gastric bypass. Obes Surg. 2007; 17(11): 1464-74.
18. Catalán V, Gómez-Ambrosi J, Rodríguez A, Ramírez B, Rotellar F, Valentí V, et al. Increased circulating and visceral adipose tissue expression levels of YKL-40 in obesity-associated type 2 diabetes are related to inflammation: impact of conventional weight loss and gastric bypass. J Clin Endocrinol Metab. 2011; 96(1): 200-9.
19. Gallo J, Ochoa J, Balparda J, Aristizábal D. Puntos de corte del perímetro de la cintura para identificar sujetos con resistencia a la insulina en una población colombiana. Acta Med Colomb [Internet] 2013; 38: 118-26. Available from:
http://www.scielo.org.co/pdf/amc/v38n3/v38n3a06.pdf
20. Jennifer Linge, Magnus Borga, Janne West , Theresa Tuthill, Melissa R. Miller, Alexandra Dumitriu, et al. Body Composition Profiling in the UK Biobank Imaging Study. Obesity Journal. 2018. doi:10.1002/oby.22210
21. El-Din ASHNE-MSA-TM. Neck circumference as a simple screening measure. Maced J Med Sci. 2013; 6(3): 232-7.
22. WHO, Development D of N for H and. Waist circumference and waist–hip ratio: report of a WHO expert consultation 2008; 8: 8-11.
23. Schneider HJ, Friedrich N, Klotsche J, Pieper L, Nauck M, John U, et al. The predictive value of different measures of obesity for incident cardiovascular

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