Obesity Indices in Women with Breast Cancer in Cauca, Colombia

Authors

DOI:

https://doi.org/10.15359/mhs.20-1.5

Keywords:

woman, breast cancer, obesity, adiposity

Abstract

Introduction: Obesity has become a problem that accentuates cancer processes. So the objective was to identify the level of obesity through adiposity indices in women with breast cancer in the department of Cauca-Colombia.

Material and Methods: A correlational descriptive study with 126 women diagnosed with breast cancer. The measures for the analysis of body adiposity were the conicity index, body adiposity, abdominal volume, and the CUN BAE equation, body mass index, waist and hip circumferences. The data collected were processed in SPSS, obtaining measures of central tendency and dispersion, such as the Pearson statistic with a significance of p< 0.05 and the Receiver Operating Characteristic (ROC) curve to determine the sensitivity and specificity of adiposity tests, considering ethical and legal aspects.

Results: 31.78% of women evaluated presented type IIb cancer. Invasive cancer in axillary lymph nodes, with menarche ages 13.50±2.33 years. An overweight average was observed according to a BMI of 26.91±4.87 Kg/m2. Concerning the waist circumference (46.02%) and the ICC (58.72%), they did not show risk in these variables. Very high positive correlations were identified between waist circumference and adiposity indices (R=0.992), conicity index (R=0.858), and WHR (R=0.845).

Conclusions: It was possible to establish that a high percentage of women with breast cancer were overweight, identifying risk situations related to the fat accumulated around the waist, which is related to other adiposity indices. The tool identified as useful corresponded to the index of conicity with statistical significance.

Author Biographies

Andrés Felipe Villaquirán-Hurtado, Universidad del Cauca

Facultad de Salud

Departamento de Fisioterapia

Dolly Ximena Molano-Tobar, Universidad Santiago de Cali

Vicerrectoria Académica 

References

Buendía, R., Zambrano, M., Días, A., Reino, A., Ramírez, J., & Espinoza, E. (2016). Puntos de corte de perímetros de cintura para el diagnóstico de obesidad abdominal en población colombiana usando bioimpedanciometría como estándar de referencia. Revista Colombiana de Cardiología, 23(1), 19–25. https://doi.org/http://dx.doi.org/10.1016/j.rccar.2015.07.011

Campos-Mondragón, M. G. (2015). Obesidad y riesgo de síndrome metabólico en estudiantes de posgrado de Veracruz, México. Revista Española de Nutrición Humana y Dietética, 19(4), 197–203. https://doi.org/10.14306/renhyd.19.4.170

Carvalho, M. S. N., Salvador, E. P., Navarro, R. G., Farias, E. S., Souza, O. F., & Carvalho, W. R. (2018). Accuracy of Anthropometric Indices in Predicting Excess Abdominal Adiposity among Ten to Eighteen- Year-Old Adolescents. Journal of Exercise Physiology, 21(4), 112–122.

Ceballos-Naranjo, L., Torres-Soto, S., & Cardona-Vélez, J. (2017). Cáncer de mama: la enfermedad del siglo XXI. Revista ANACEM, 11(2), 39–45. https://doi.org/10.1007/s1054

Donenberg, T., George, S., Ali, J., Bravo, G., Hernández, K., Sookar, N., Ashing, K. T., Narod, S. A., Akbari, M. R., & Hurley, J. (2019). A clinically structured and partnered approach to genetic testing in Trinidadian women with breast cancer and their families. Breast Cancer Research and Treatment, 174(2), 469–477. https://doi.org/10.1007/s10549-018-5045-y

González-Ruíz, K., Correa-Bautista, J. E., & Ramírez-Vélez, R. (2015). Body adiposity and its relationship of metabolic syndrome components in Colombian adults [Adiposidad corporal y su relación con componentes del síndrome metabólico en adultos de Bogotá, Colombia]. Nutrición Hospitalaria, 32(4), 1468–1475. https://doi.org/10.3305/nh.2015.32.4.9164

González-Ruíz, K., Correa-Bautista, J. E., & Ramírez-Vélez, R. (2015). Evaluación del índice de adiposidad corporal en la predicción del porcentaje de grasa en adultos de Bogotá, Colombia. Nutrición Hospitalaria, 32(1), 55–60. https://doi.org/10.3305/nh.2015.32.1.9087

Inglis, J. E., Janelsins, M. C., Culakova, E., Bautista, J., Mustian, K. M., Lin, P. J., Kleckner, I., & Peppone, L. J. (2018). Longitudinal assessment to evaluate the impact of higher body mass index on cancer-related fatigue in breast cancer patients receiving chemotherapy. Supportive Care in Cancer, 36(15_suppl), 10061–10061. https://doi.org/10.1200/jco.2018.36.15_suppl.10061

Jafari-Koshki, T., Mansourian, M., Hosseini, S. M., & Amini, M. (2016). Association of waist and hip circumference and waist-hip ratio with type 2 diabetes risk in first-degree relatives. Journal of Diabetes and Its Complications, 30(6), 1050–1055. https://doi.org/10.1016/j.jdiacomp.2016.05.003

Lanari, C., Giulianelli, S., Vaqué, J. P., Wargon, V., Soldati, R., Vanzulli, S. I., Martins, R., Zeitlin, E., Helguero, L., Lamb, C., Molinolo, A. A., & Gutkind, J. S. (2012). The role of estrogen receptor alpha in breast cancer cell proliferation mediated by progestins | El receptor de estrógenos alfa como mediador del efecto proliferativo de progestágenos en cáncer de mama. Medicina (Argentina), 72(4), 315–320.

Lewin, A. A., Storey, P., Moccaldi, M., Moy, L., & Gene Kim, S. (2019). Fatty acid composition in mammary adipose tissue measured by Gradient-echo Spectroscopic MRI and its association with breast cancers. European Journal of Radiology, 116(April), 205–211. https://doi.org/10.1016/j.ejrad.2019.04.024

Liu, M. M., Liu, Q. J., Wen, J., Wang, M., Wu, L. Y., Qu, M. L., Li, M., Shen, M. X., & Wu, J. (2018). Waist-to-hip ratio is the most relevant obesity index at each phase of insulin secretion among obese patients. Journal of Diabetes and Its Complications, 2017. https://doi.org/10.1016/j.jdiacomp.2018.04.006

Mărginean, C. O., Meliţ, L. E., Ghiga, D. V., & Mărginean, M. O. (2019). Early Inflammatory Status Related to Pediatric Obesity. Frontiers in Pediatrics, 7(June), 1–7. https://doi.org/10.3389/fped.2019.00241

Martín-Castellanos, Á., Cabañas-Armesilla, M. D., Barca-Durán, F. J., Barca-Castellanos, P., & Gómez, J. J. (2016). Obesidad y riesgo de infarto de miocardio en una muestra de varones europeos. El índice cintura-cadera sesga el riesgo real de la obesidad abdominal. Nutrición Hospitalaria, 33(4), 832–837. https://doi.org/http://dx.doi.org/10.20960/nh.982

Molano-Tobar, N. J., Molano-Tobar, D. X., & Vélez-Tobar, R. A. (2019). Variación del componente antropométrico y parámetros cardiovasculares de jóvenes universitarios entre 2013 y 2016 en Popayán, Colombia. Revista Investigaciones Andina, 38(18), 1–14.

Molano-Tobar, N. J., & Vélez Varela, P. E. (2017). Percepción acerca del cáncer de mama en un grupo de mujeres de un hospital en Popayán, Colombia (Breast Cancer Perception in a Group of Women in a Hospital in Popayán, Colombia). Revista MHSalud®, 13(2), 1659–1697. https://doi.org/10.15359/mhs.13-2.5

Munteanu, V., Vârtej, P., & Gherghiceanu, F. (2018). Are the age of menarche and the afe of menopause correlated with breast cancer molecular subtypes? Journal of Surgical Sciences, 5(2), 72–75.

Neefs, J., Boekholdt, S. M., Khaw, K. T., Luben, R., Pfister, R., Wareham, N. J., Meulendijks, E. R., Sanders, P., & de Groot, J. R. (2019). Body mass index and body fat distribution and new-onset atrial fibrillation: Substudy of the European Prospective Investigation into Cancer and Nutrition in Norfolk (EPIC-Norfolk) study. Nutrition, Metabolism and Cardiovascular Diseases, 29(7), 692–700. https://doi.org/10.1016/j.numecd.2019.03.005

Oh, S. K., Cho, A. R., Kwon, Y. J., Lee, H. S., & Lee, J. W. (2018). Derivation and validation of a new visceral adiposity index for predicting visceral obesity and cardiometabolic risk in a Korean population. PLoS ONE, 13(9), 1–15. https://doi.org/10.1371/journal.pone.0203787

Oliva Anaya, C. A., Cantero Ronquillo, H. A., & García Sierra, J. C. (2015). Dieta, obesidad y sedentarismo como factores de riesgo del cáncer de mama TT. Revista Cubana de Cirugía, 54(3), 274–284.

Pastell, S., Tipo, P., Aut, U., & Fecha, B. (2017). Mecanismos cognitivos del optimismo en cáncer de mama: efectos en la calidad de vida. Psicooncología, 14, 367–369. https://doi.org/http://dx.doi.org/10.5209/PSIC.57091

Picon‐Ruiz, M., Morata‐Tarifa, C., Valle‐Goffin, J. J., Friedman, E. R., & Slingerland, J. M. (2017). Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention. Ca. A Cancer Journal for Clinicians, 67(5), 378. https://doi.org/10.3322/CAAC.21405

Pineda-Higuita, S. E., Andrade-Mosquera, S. M., & Montoya-Jaramillo, Y. M. (2017). Factores asociados a la calidad de vida en mujeres con cáncer de mama. Medellín 2013. Revista Gerencia y Políticas de Salud, 16(32), 85–95. https://doi.org/10.11144/Javeriana.rgps16-32.facv

Rodríguez-Cerdeira, C., Cordeiro-Rodríguez, M., Carnero-Gregorio, M., López-Bárcenas, A., Martínez-Herrera, E., Fabbrocini, G., Sinani, A., & Arenas-Guzmán, R. (2019). Biomarkers of Inflammation in Obesity-Psoriatic Patients. Hindawi Journal of Diabetes Research, 2019, 1–14. https://doi.org/https://doi.org/10.1155/2019/7353420

Saldívar-Cerón, H., Vázquez-Martínez, A., & Barrón-Torres, M. (2016). Precisión diagnóstica de indicadores antropométricos: perímetro de cintura, índice cintura-talla e índice cintura-cadera para la identificación de sobrepeso y obesidad infantil. Acta Pediátrica de México, 37(2), 79. https://doi.org/10.18233/apm37no2pp79-87

Sifuentes-Álvarez, A., Castañeda-Martínez, L. Y., Lugo-Nevares, M., & Reyes-Romero, M. A. (2015). Factores de riesgo asociados con el cáncer de mama en mujeres del estado de Durango, México. Ginecol Obstet Mex., 83(11), 662–669. https://search.ebscohost.com/login.aspx?direct=true&db=lth&AN=110940059&lang=es&site=ehost-live

Silva, B. R., Mialich, M. S., Hoffman, D. J., & Jordao-Junior, A. A. (2017). BMI, BMIfat, BAI or BAIFels – Which is the best adiposity index for the detection of excess weight? Nutrición Hospitalaria, 34(2), 389–395. https://doi.org/http://dx.doi.org/10.20960/nh.366

Tinoco-García, A. (2019). Definition of Cancer: Scientific Controversy between the Orthodox Paradigm and Critical Paradigm. Revista Colombiana de Filosofía de La Ciencia Vol., 19(38), 11–52. https://revistas.unbosque.edu.co/index.php/rcfc/article/view/2271/2210

Tiwari, P., Blank, A., Cui, C., Schoenfelt, K. Q., Zhou, G., Xu, Y., Khramtsova, G., Olopade, F., Shah, A. M., Khan, S. A., Rosner, M. R., & Becker, L. (2019). Metabolically activated adipose tissue macrophages link obesity to triple-negative breast cancer. The Journal of Experimental Medicine, 216(6), jem.20181616. https://doi.org/10.1084/jem.20181616

Toro, L. Z., Polo, J. R. T., Díez-Tabernilla, M., Bernal, L. G., Sebastián, A. A., & Rico, R. C. (2014). Fórmula CUN-BAE y factores bioquímicos como marcadores predictivos de obesidad y enfermedad cardiovascular en pacientes pre- y post- gastrectomía vertical. Nutrición Hospitalaria, 30(2), 281–286. https://doi.org/10.3305/nh.2014.30.2.7581

Tumminia, A., Vinciguerra, F., Parisi, M., Graziano, M., Sciacca, L., Baratta, R., & Frittitta, L. (2019). Adipose Tissue, Obesity and Adiponectin: Role in Endocrine Cancer Risk. International Journal of Molecular Sciences, 20(12), 2863. https://doi.org/10.3390/ijms20122863

Vanderwall, C., Clark, R. R., Eickhoff, J., & Carrel, A. L. (2017). BMI is a poor predictor of adiposity in young overweight and obese children. BMC Pediatrics, 17(135), 4–9. https://doi.org/10.1186/s12887-017-0891-z

Vassallo, P., Azzolina, D., Soriani, N., Gregori, D., & Lorenzoni, G. (2017). Association between simple anthropometric measures in children of different ethnicities: Results from the OBEY-AD study. Archivos Latinoamericanos de Nutrición, 67(1), 98–107. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036647275&partnerID=40&md5=dd2851adc1add0ca336de06433e1c9cc

Vila, L. P., Araújo-Tavares, C. M., Freire-Clementino-daSilva, M. C., Freire-Lustosa, M., Batista, R. A., Calado, D., & Pessoa-deAraújo, M. G. (2016). Asociación de los indicadores antropométricos y de composición corporal en la predicción de la resistencia a la insulina en pacientes con enfermedad de las arterias coronarias. Nutrición Hospitalaria, 33(5), 1108–1115. https://doi.org/http://dx.doi.org/10.20960/nh.574

Wang, Y. A., Jian, J. W., Hung, C. F., Peng, H. P., Yang, C. F., Cheng, H. C. S., & Yang, A. S. (2018). Germline breast cancer susceptibility gene mutations and breast cancer outcomes. BMC Cancer, 18(1). https://doi.org/10.1186/S12885-018-4229-5

Yermachenko, A., & Dvornyk, V. (2016). UGT2B4 previously implicated in the risk of breast cancer is associated with menarche timing in Ukrainian females. Gene, 590(1), 85–89. https://doi.org/10.1016/j.gene.2016.06.015

Yi, S. H., Lee, K., Shin, D. G., Kim, J. S., & Kim, H. C. (2013). Differential association of adiposity measures with heart rate variability measures in Koreans. Yonsei Medical Journal, 54(1), 55–61. https://doi.org/10.3349/ymj.2013.54.1.55

Published

2023-01-01

How to Cite

Molano-Tobar, N. J., Villaquirán-Hurtado, A. F., & Molano-Tobar, D. X. (2023). Obesity Indices in Women with Breast Cancer in Cauca, Colombia. MHSalud: Revista En Ciencias Del Movimiento Humano Y Salud, 20(1), 1-12. https://doi.org/10.15359/mhs.20-1.5

How to Cite

Molano-Tobar, N. J., Villaquirán-Hurtado, A. F., & Molano-Tobar, D. X. (2023). Obesity Indices in Women with Breast Cancer in Cauca, Colombia. MHSalud: Revista En Ciencias Del Movimiento Humano Y Salud, 20(1), 1-12. https://doi.org/10.15359/mhs.20-1.5

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