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


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.
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