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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cancer Intelligence
2023
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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 |
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author | Izuegbuna, Ogochukwu O Sodiq, Toyin Olawumi, Hannah O Olatoke, Samuel A Agodirin, Olayide |
author_facet | Izuegbuna, Ogochukwu O Sodiq, Toyin Olawumi, Hannah O Olatoke, Samuel A Agodirin, Olayide |
author_sort | Izuegbuna, Ogochukwu O |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10550329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cancer Intelligence |
record_format | MEDLINE/PubMed |
spelling | pubmed-105503292023-10-05 Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study Izuegbuna, Ogochukwu O Sodiq, Toyin Olawumi, Hannah O Olatoke, Samuel A Agodirin, Olayide Ecancermedicalscience Research 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. Cancer Intelligence 2023-09-04 /pmc/articles/PMC10550329/ /pubmed/37799944 http://dx.doi.org/10.3332/ecancer.2023.1600 Text en © the authors; licensee ecancermedicalscience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Izuegbuna, Ogochukwu O Sodiq, Toyin Olawumi, Hannah O Olatoke, Samuel A Agodirin, Olayide Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title | Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title_full | Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title_fullStr | Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title_full_unstemmed | Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title_short | Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria—a cross sectional study |
title_sort | body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in nigeria—a cross sectional study |
topic | Research |
url | 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 |
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