RESUMO
Nutritional status can change in breast cancer patients after treatment. However, the metabolic implications of those alterations are poorly understood. We used a cross-sectional study design to compare body composition, lipids, glucose levels, and adiposity indices in breast cancer patients with a matched control and a healthy group. We recruited women who completed their chemotherapy (BC group) and compared them with a group of women without cancer age and body mass index-paired (MC group) and a group of healthy women (HC group). We estimated body composition by bioelectrical impedance analysis, physical function by handgrip strength, and food consumption by 24-hour food record. A blood sample was collected. We calculated visceral obesity indices (VAI and LAP) and insulin resistance-triglyceride glucose (TyG). Eighty-eight women were included (BC = 36, MC = 36, HC = 16). BC patients demonstrated worse phase angle values, nutritional risk index and lower handgrip strength. Additionally, according to the indices, BC had impairments in lipids, worse glucose levels, and elevated visceral fat adiposity and presented important unhealthy dietary patterns characterized by under-recommended protein consumption and higher caloric intake than the other groups. No differences were observed between both control groups. Further investigations are required to examine the underlying mechanisms and the potential longitudinal changes during surveillance.
Assuntos
Neoplasias da Mama , Dietética , Adiposidade , Glicemia/análise , Índice de Massa Corporal , Neoplasias da Mama/complicações , Estudos Transversais , Feminino , Força da Mão , Humanos , Estado Nutricional , Obesidade , Obesidade Abdominal , TriglicerídeosRESUMO
PURPOSE: The study aimed to analyze the influence of chemotherapy on health biomarkers and examine the relationship between phase angle (PhA) and oxidative stress. METHODS: A prospective study was performed. Women who were starting chemotherapy were recruited. Also, this study included a control group of women without cancer. Bioelectrical impedance multiple-frequency (BIS) analysis, 24h food recall, and blood samples were collected at 2-time points: diagnosis (T0) and after one month of completion of therapy (T1) for the main study group and one-time point for the control group. T-tests or Mann-Whitney Wilcoxon Test was used to compare variables. Linear regression analysis was conducted to test if PhA is related to the dependent variables after adjusting for age and body mass index. RESULTS: 119 women were included (61 with breast cancer and 58 healthy). There was no difference between the groups concerning anthropometrics, fat mass, and fat-free mass. Breast cancer patients had a worsening in PhA (p<0.001) after chemotherapy completion. PhA was positive statistically correlated with extracellular water, albumin, and the antioxidant markers at both times. The linear model showed that PhA was significantly predicted by C reactive protein, 2,2-Diphenyl-1-picrylhydrazyl (DPPH), Malondialdehyde (MDA), total body water/extracellular water, and body mass index fat mass. This model explained 58% of PhA variability (p<0.001). CONCLUSION: Our findings show that PhA is an easy and affordable tool that correlates oxidative stress markers in breast cancer patients, regardless of age or body mass index.
Assuntos
Antioxidantes , Neoplasias da Mama , Humanos , Feminino , Neoplasias da Mama/tratamento farmacológico , Estudos Prospectivos , Composição Corporal , Estresse Oxidativo , Biomarcadores , Água , Impedância ElétricaRESUMO
PURPOSE: The study objected to investigate potential changes in metabolic, dietary, and nutritional status in women with stages I-III breast cancer exposed to chemotherapy. METHODS: Women who were starting chemotherapy with no previous treatment were recruited. Anthropometrics, bioelectrical impedance analysis, handgrip strength, blood pressure and blood sample were collected. Visceral adiposity index and lipid accumulation product were calculated. Dietary intake was evaluated, and the multiple source methods program was applied. Metabolic syndrome (MetS) was assessed following the NCEP-ATP III criteria (defined as 3 of 5 components of MetS). All data were collected at 2-time points: diagnosis (T0) and after 1 month of completion of therapy (T1). Mean, standard deviation, percentage, and ANOVA in SAS Studio® were used to explore the results. RESULTS: 61 women were included. We did not find any changes in anthropometrics and body composition. However, phase angle, extracellular water (EX) and ratio EX to total body water had expressive changes (p < 0.001). The results showed changes in lipid profile (p < 0.001), and greater unfavorable outcomes on adiposities index (p < 0.001). At the end of the study, 68,8% (N = 42) of the women developed MetS post-chemotherapy. CONCLUSION: We have found supporting evidence for chemotherapy treatment resulting in worsening of nutritional markers, lipid profile and adiposity markers. After chemotherapy part of the sample developed MetS, even without changes in body weight, fat mass, and food intake. Breast cancer patients may benefit from targeted interventions before starting chemotherapy to prevent MetS post-treatment, and therefore reduce the risk of cardiovascular disease. Further investigation into this theme is needed.
Assuntos
Neoplasias da Mama , Síndrome Metabólica , Composição Corporal , Índice de Massa Corporal , Neoplasias da Mama/tratamento farmacológico , Feminino , Força da Mão , Humanos , Circunferência da CinturaRESUMO
PURPOSE: The study aimed to analyze the influence of chemotherapy on nutritional status and the phase angle (PhA) as nutritional indicator for breast cancer women undergoing chemotherapy. METHODS: A prospective study was performed. Women who were starting chemotherapy with no previous chemotherapy treatment were recruited. Quality of life (QoL) was collected using the EORTC QLQ-BR23 questionnaire. Bioelectrical impedance analysis, performance tests, and blood sample to albumin analyzes were collected at 2-time points: diagnosis (T0) and after 1 month of completion of therapy (T1). Mean, standard deviation, linear regression, and ANOVA in R were used to explore the results. RESULTS: 61 women were included. We did not find any changes in body composition. However, PhA, nutritional risk index (NRI), gait speed (GS), and handgrip strength (HGS) had expressive changes (p < 0.001). 75.4% of women had PhA values below the cut-off point of 5.6°, and the group that had a lower average of PhA also expressed low NRI. PhA was a nutritional status marker and its values were influenced by changes in NRI (p < 0.05). CONCLUSION: We have found supporting evidence for chemotherapy treatment resulting in worsening of prognostic factors such as PhA, and yet PhA was related to no nutritional risk. Besides a higher prevalence of obesity, 80% of the sample showed some nutritional risk level, implying the possibility of a sub-notification candidate who might benefit, for instance, from nutritional intervention in obesity groups. Further investigation about this theme may improve health measures for the prevention and screening of disease among breast cancer.