Cargando…

Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study

OBJECTIVE: This cross-sectional study was conducted on the associations between body composition, energy expenditure and caloric intake among 45 Nigerian breast cancer patients. METHODS: Forty-five Nigerian breast cancer patients were measured and analysed for their body composition, energy expendit...

Descripción completa

Detalles Bibliográficos
Autores principales: Izuegbuna, Ogochukwu O, Sodiq, Toyin, Olawumi, Hannah O, Olatoke, Samuel A, Agodirin, Olayide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550329/
https://www.ncbi.nlm.nih.gov/pubmed/37799944
http://dx.doi.org/10.3332/ecancer.2023.1600
Descripción
Sumario:OBJECTIVE: This cross-sectional study was conducted on the associations between body composition, energy expenditure and caloric intake among 45 Nigerian breast cancer patients. METHODS: Forty-five Nigerian breast cancer patients were measured and analysed for their body composition, energy expenditure and caloric intake. Statistical analyses included a chi-square test, Student’s t-test, paired t-test, Spearman correlation and linear regression using Statistical Package for the Social Sciences 23.0. RESULTS: The body fat indices (body mass index (BMI), fat mass index (FMI), and body fats percentage) show that more than 50% of breast cancer patients were either overweight or obese. The Spearman correlation showed that fat-free mass (FFM) was the most strongly correlated with energy expenditure (r = 0.84). BMI and (FMI – fat mass in relation to height) were significantly correlated with the Harris–Benedict equation for energy expenditure (p < 0.001; p = 0.002), but they were not correlated significantly with the Karnofsky performance status. A paired t-test showed that caloric intake was significantly higher than total energy expenditure (p < 0.001). FFM was the best predictor of resting energy expenditure (REE). CONCLUSION: In conclusion, FFM remains the best predictor of REE. High body mass and high caloric intake indicate the need for support from nutritional programmes.