Background and objectives: Body composition assessment can provide information associated with breast cancer patients’ (BCP) prognosis, that can lead interventions to improve survival outcomes. The aim of this study was to evaluate the effect of an individualized nutrition intervention program on breast cancer patients using bioelectrical impedance vector analysis (BIVA). Materials and Methods: This is a pretest-posttest study in recently diagnosed nonmetastatic BCP undergoing antineoplastic treatment, free of co-morbidities and dietary supplementation. Body composition was assessed at baseline and 6 months after an individualized nutrition intervention program, by dual-energy X-ray absorptiometry and BIVA. According to BIVA, each participant was located in the bivariate tolerance ellipses for Mexican population (50%, 75%, and 95%). In clinical practice, the 50% and 75% ellipses are considered within normality ranges. Results: Nine nonmetastatic BCP completed the intervention and were included in the analysis. After the intervention, they decreased by 5.8 kg of body weight (IQR, 3–6; p < 0.05), 3.8 kg of fat mass (IQR, 0.1–4.2; p < 0.05), and 1.4 kg of fat-free mass (IQR, −0.1 to 4; p < 0.05) while appendicular skeletal muscle mass remained unchanged (−0.2 kg, IQR, −0.8 to 2.3; p = 0.4). Using BIVA at baseline, five participants were among the 50% and 75% ellipses, mainly located in the area corresponding to edema and low lean tissue, two in the cachexia quadrant and two in the athletic quadrant (≥95% ellipse). After 6 months of intervention, six out of nine participants were in the athletic quadrant and eight of nine BCP were above the 5° phase angle cut-off point. One patient initially presented cachexia (≥95% ellipse); at postintervention her vector changed to the 50% ellipse. Conclusions: An individualized nutrition intervention program designed for nonmetastatic BCP was effective to improve the nutritional status of BCP as assessed by BIVA, therefore BIVA can be a useful tool to monitor changes in nonmetastatic BCP body composition in research and clinical practice.
Bibliographical noteFunding Information:
We thank our volunteers for their valuable time and participation, the Oncology State Center, the Research Center for Food and Development, and the University of Sonora for providing their staff and facilities. Special thanks to the technical support from Bertha I Pacheco-Moreno at the Experimental Pathology Laboratory (CIAD) and Mar?a de los ?ngeles Espinosa-Cuevas at the National Institute of Medical Sciences and Nutrition Salvador Zubir?n for the BIVA software specific for Mexican population. Also, we thank our enthusiastic nutritional sciences undergraduate students: Elizabeth Manjarrez, Leticia Yocupicio and Sahily Nu?ez for their collaboration. We thank CONACyT for the fellowship received by authors A.T.L.-M., A.E.G.-L and H.M.-A.
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
- Body composition assessment
- Food-based individualized nutrition program
- Sarcopenic obesity prevention