Body Composition and Mammographic Density in Colombian Women Attending Screening at the Clínica Universitaria Colombia

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/revsalud/a.13577

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Published: May 13, 2026
Issue: Vol. 23 No. 3 (2025): Revista Ciencias de la Salud
Section Clinical or Experimental Research


Keywords: body composition adiposity breast density

Main Article Content

Authors

  Mónica Natalia Venegas Torres
Universidad del Rosario
Farid Mezamell Macías
https://orcid.org/0009-0003-4316-9949
Diana Andrea Urrego Torres
https://orcid.org/0009-0002-6896-8125
Ana María Pedraza Flechas
  Oscar Julian Perdomo Charry

Abstract

Introduction: The primary objective of this study is to determine the body composition of Colombian women and its relationship with mammographic density.


Methods: Cross-sectional descriptive study with an analytical component of 670 patients using non-probabilistic sampling. Simple linear regression models are adjusted to determine the relationship between indicators of adiposity with some sociodemographic variables. Subsequently, a simple and multiple linear regression to assess mammographic density with clinical and anthropometric variables. Finally, a decision tree was built to identify the explanatory variables for a final regression model that can estimate mammographic density, calculating the statistical power of the model to assess its possible utility in clinical practice.


Results: 67.5% of the population had some degree of overweight. Older women had a higher percentage of fat mass (p 0.02) and waist/hip ratio (p 0.01). 53.4% ​​of the women had a mammographic density of less than 25%. BMI and age presented an inverse linear relationship with mammographic density, while the consumption of oral contraceptives was directly related. Age, BMI, waist circumference, and bra size were included in the final model for estimating the percentage of mammographic density.


Conclusions: The highest proportion of women were found to be in the overweight range, as well as with low mammographic density patterns (<50%). It was possible to propose the inclusion of variables such as age, BMI, bra size and waist circumference in a final mammographic density estimation model.

How to Cite
Venegas Torres, M. N., Mezamell Macías, F., Urrego Torres, D. A., Pedraza Flechas, A. M., & Perdomo Charry, O. J. (2026). Body Composition and Mammographic Density in Colombian Women Attending Screening at the Clínica Universitaria Colombia. Revista Ciencias De La Salud, 23(3), 1–16. https://doi.org/10.12804/revistas.urosario.edu.co/revsalud/a.13577
References

Organización Mundial de la Salud. Cáncer de mama. Ginebra: OMS; 2023. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/breast-cancer

Jiménez MP. Cáncer de mama y cuello uterino en Colombia. Vigilancia y análisis del riesgo en salud, Institución Nacional de Salud. 2018.

Saftlas AF, Hoover RN, Brinton LA, Szklo M, Olson DR, Salane M, Wolfe JN. Mammographic densities and risk of breast cancer. Cancer. 1991 Jun 1;67(11):2833-8. https://doi.org/10.1002/1097-0142(19910601)67:11<2833::aid-cncr2820671121>3.0.co;2-u.

Organización Mundial de la Salud. Report of the commission on ending childhood obesity. Ginebra: OMS; 2016. Disponible en: https://www.who.int/publications/i/item/9789241510066

Kesaniemi YA, Danforth E, Jensen MD, Kopelman PG, Lefèbvre P, Reeder BA. Dose-response issues concerning physical activity and health: an evidence-based symposium. Med Sci Sports Exerc. 2001 Jun 33(6):p S351-S358. https://doi.org/10.1097/00005768-200106001-00003

Organización Mundial de la Salud. Obesidad y sobrepeso. Ginebra: OMS; 2021. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/obesity-and-overweight

Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de Situación Nutricional: ENSIN 2015. Colombia: ICBF. Disponible en: https://www.icbf.gov.co/bienestar/nutricion/encuesta-nacional-situacion-nutricional#ensin3

Rice MS, Bertrand KA, Lajous M, Tamimi RM, Torres G, Biessy C, et al. Body size throughout the life course and mammographic density in Mexican women. Breast Cancer ResTreat. 2013;138(2), 601-610. https://doi.org/10.1007/s10549-013-2463-8

Sala E, Warren RB, McCann JJ, Duffy SW, Luben R, Day NP. High-risk mammographic parenchymal patterns and anthropometric measures: A case-control study. Br J Cancer. 1999;81(7),1257-1261. https://doi.org/10.1038/sj.bjc.6690838

Pereira A, Garmendia ML, Uauy R, Neira P, Lopez S, Malkov S, et al. Determinants of volumetric breast density in Chilean premenopausal women. Breast Cancer Res Treat. 2017;162(2), 343-352. https://doi.org/10.1007/s10549-017-4126-7

Masala G, Ambrogetti D, Assedi M, Giorgi D, Del Turco MR, Palli, D. Dietary and lifestyle determinants of mammographic breast density. A longitudinal study in a Mediterranean population. Int J Cancer. 2006;118(7), 1782-1789. https://doi.org/10.1002/ijc.21558

Quandt Z, Flom JD, Tehranifar P, Reynolds D, Terry MB, McDonald JA. The association of alcohol consumption with mammographic density in a multiethnic urban population. BMC Cancer. 2015;15(1). https://doi.org/10.1186/s12885-015-1094-3

Soguel L, Durocher F, Tchernof A, Diorio C. Adiposity, breast density, and breast cancer risk: epidemiological and biological considerations. Eur J Cancer Prev. 2017 Nov;26(6):511-520. https://doi.org/10.1097/cej.0000000000000310

Spencer EA, Appleby PN, Davey G, Key TJ. Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutr. 2002 Aug;5(4):561-5. https://doi.org/10.1079/PHN2001322

Riza E, Remoundos D, Bakali E, Karadedou-Zafiriadou E, Linos D, Linos A. Anthropometric characteristics and mammographic parenchymal patterns in post-menopausal women: a population-based study in Northern Greece. Cancer Causes Control. 2009;20(2), 181-191. https://doi.org/10.1007/s10552-008-9232-8

Warren R, Thompson D, Del Frate C, Cordell M, Highnam R, Tromans C, et al. A comparison of some anthropometric parameters between an Italian and a UK population: “proof of principle” of a European project using MammoGrid. Clin Radiol. 2007;62(11),1052-1060. https://doi.org/10.1016/j.crad.2007.04.002

Boyd NF, Lockwood GA, Byng JW, Little LE, Yaffe MJ, Tritchler DL. The relationship of anthropometric measures to radiological features of the breast in premenopausal women. Br J Cancer. 1998;78(9), 1233-1238. https://doi.org/10.1038/bjc.1998.660

Heller SL, Young Lin LL, Melsaether AN, Moy L, Gao Y. Hormonal effects on breast density, fibroglandular tissue, and background parenchymal enhancement. Radiographics. 2018 jun;38(4), 983–996. https://doi.org/10.1148/rg.2018180035

Oppong BA, Dash C, O’Neill S, Li Y, Makambi K, Pien E, et al. Breast density in multiethnic women presenting for screening mammography. Breast J. 2018;24: 334– 338. https://doi.org/10.1111/tbj.12941

Winkler NS, Raza S, Mackesy M, Birdwell RL. Breast density: clinical implications and assessment methods. Radiographics. 2015 Mar-Apr;35(2):316–24. https://doi.org/10.1148/rg.352140134

Spicer DV, Ursin G, Parisky YR, Pearce, JG, Shoupe D, Pike, et al. Changes in Mammographic Densities induced by a Hormonal Contraceptive Designed to Reduce Breast Cancer Risk. J Natl Cancer Inst. 1994 march;86(6), 431-436. https://doi.org/10.1093/jnci/86.6.431

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