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Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study

The presence of preexisting morbidities poses a challenge to cancer patient care. There is little information on the profile and prevalence of multi‐morbidities in breast cancer patients across middle income countries (MIC) to lower income countries (LIC) in sub‐Saharan Africa (SSA). The African Bre...

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Autores principales: Ayeni, Oluwatosin A., Norris, Shane A., Joffe, Maureen, Cubasch, Herbert, Galukande, Moses, Zietsman, Annelle, Parham, Groesbeck, Adisa, Charles, Anele, Angelica, Schüz, Joachim, Anderson, Benjamin O., Foerster, Milena, dos Santos Silva, Isabel, McCormack, Valerie A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129872/
https://www.ncbi.nlm.nih.gov/pubmed/33180326
http://dx.doi.org/10.1002/ijc.33387
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author Ayeni, Oluwatosin A.
Norris, Shane A.
Joffe, Maureen
Cubasch, Herbert
Galukande, Moses
Zietsman, Annelle
Parham, Groesbeck
Adisa, Charles
Anele, Angelica
Schüz, Joachim
Anderson, Benjamin O.
Foerster, Milena
dos Santos Silva, Isabel
McCormack, Valerie A.
author_facet Ayeni, Oluwatosin A.
Norris, Shane A.
Joffe, Maureen
Cubasch, Herbert
Galukande, Moses
Zietsman, Annelle
Parham, Groesbeck
Adisa, Charles
Anele, Angelica
Schüz, Joachim
Anderson, Benjamin O.
Foerster, Milena
dos Santos Silva, Isabel
McCormack, Valerie A.
author_sort Ayeni, Oluwatosin A.
collection PubMed
description The presence of preexisting morbidities poses a challenge to cancer patient care. There is little information on the profile and prevalence of multi‐morbidities in breast cancer patients across middle income countries (MIC) to lower income countries (LIC) in sub‐Saharan Africa (SSA). The African Breast Cancer–Disparities in Outcomes (ABC‐DO) breast cancer cohort spans upper MICs South Africa and Namibia, lower MICs Zambia and Nigeria and LIC Uganda. At cancer diagnosis, seven morbidities were assessed: obesity, hypertension, diabetes, asthma/chronic obstructive pulmonary disease, heart disease, tuberculosis and HIV. Logistic regression models were used to assess determinants of morbidities and the influence of morbidities on advanced stage (stage III/IV) breast cancer diagnosis. Among 2189 women, morbidity prevalence was the highest for obesity (35%, country‐specific range 15‐57%), hypertension (32%, 15‐51%) and HIV (16%, 2‐26%) then for diabetes (7%, 4%‐10%), asthma (4%, 2%‐10%), tuberculosis (4%, 0%‐8%) and heart disease (3%, 1%‐7%). Obesity and hypertension were more common in upper MICs and in higher socioeconomic groups. Overall, 27% of women had at least two preexisting morbidities. Older women were more likely to have obesity (odds ratio: 1.09 per 10 years, 95% CI 1.01‐1.18), hypertension (1.98, 1.81‐2.17), diabetes (1.51, 1.32‐1.74) and heart disease (1.69, 1.37‐2.09) and were less likely to be HIV positive (0.64, 0.58‐0.71). Multi‐morbidity was not associated with stage at diagnosis, with the exception of earlier stage in obese and hypertensive women. Breast cancer patients in higher income countries and higher social groups in SSA face the additional burden of preexisting non‐communicable diseases, particularly obesity and hypertension, exacerbated by HIV in Southern/Eastern Africa.
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spelling pubmed-81298722021-05-18 Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study Ayeni, Oluwatosin A. Norris, Shane A. Joffe, Maureen Cubasch, Herbert Galukande, Moses Zietsman, Annelle Parham, Groesbeck Adisa, Charles Anele, Angelica Schüz, Joachim Anderson, Benjamin O. Foerster, Milena dos Santos Silva, Isabel McCormack, Valerie A. Int J Cancer Cancer Epidemiology The presence of preexisting morbidities poses a challenge to cancer patient care. There is little information on the profile and prevalence of multi‐morbidities in breast cancer patients across middle income countries (MIC) to lower income countries (LIC) in sub‐Saharan Africa (SSA). The African Breast Cancer–Disparities in Outcomes (ABC‐DO) breast cancer cohort spans upper MICs South Africa and Namibia, lower MICs Zambia and Nigeria and LIC Uganda. At cancer diagnosis, seven morbidities were assessed: obesity, hypertension, diabetes, asthma/chronic obstructive pulmonary disease, heart disease, tuberculosis and HIV. Logistic regression models were used to assess determinants of morbidities and the influence of morbidities on advanced stage (stage III/IV) breast cancer diagnosis. Among 2189 women, morbidity prevalence was the highest for obesity (35%, country‐specific range 15‐57%), hypertension (32%, 15‐51%) and HIV (16%, 2‐26%) then for diabetes (7%, 4%‐10%), asthma (4%, 2%‐10%), tuberculosis (4%, 0%‐8%) and heart disease (3%, 1%‐7%). Obesity and hypertension were more common in upper MICs and in higher socioeconomic groups. Overall, 27% of women had at least two preexisting morbidities. Older women were more likely to have obesity (odds ratio: 1.09 per 10 years, 95% CI 1.01‐1.18), hypertension (1.98, 1.81‐2.17), diabetes (1.51, 1.32‐1.74) and heart disease (1.69, 1.37‐2.09) and were less likely to be HIV positive (0.64, 0.58‐0.71). Multi‐morbidity was not associated with stage at diagnosis, with the exception of earlier stage in obese and hypertensive women. Breast cancer patients in higher income countries and higher social groups in SSA face the additional burden of preexisting non‐communicable diseases, particularly obesity and hypertension, exacerbated by HIV in Southern/Eastern Africa. John Wiley & Sons, Inc. 2020-11-25 2021-05-01 /pmc/articles/PMC8129872/ /pubmed/33180326 http://dx.doi.org/10.1002/ijc.33387 Text en © 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of Union for International Cancer Control https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Epidemiology
Ayeni, Oluwatosin A.
Norris, Shane A.
Joffe, Maureen
Cubasch, Herbert
Galukande, Moses
Zietsman, Annelle
Parham, Groesbeck
Adisa, Charles
Anele, Angelica
Schüz, Joachim
Anderson, Benjamin O.
Foerster, Milena
dos Santos Silva, Isabel
McCormack, Valerie A.
Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title_full Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title_fullStr Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title_full_unstemmed Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title_short Preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐Saharan Africa: African Breast Cancer—Disparities in Outcomes study
title_sort preexisting morbidity profile of women newly diagnosed with breast cancer in sub‐saharan africa: african breast cancer—disparities in outcomes study
topic Cancer Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129872/
https://www.ncbi.nlm.nih.gov/pubmed/33180326
http://dx.doi.org/10.1002/ijc.33387
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