A Critical Discourse Analysis of the Language of Stigmatization of Breast Cancer Patients in Nigeria

Breast cancer is a significant health concern globally, including in Nigeria, where its incidence is rising. An essential component of breast cancer care is the psychosocial wellbeing of patients, which is often shaped by the language used in healthcare and society. While some research has explored stigmatization of breast cancer patients, no study has focused on language as a tool for this stigmatization in Nigeria. This study examines how language perpetuates the stigmatization of breast cancer patients and explores ways to use language to improve their lives and health. Using Norman Fairclough's model of critical discourse analysis and a descriptive design, data was collected through interviews with 50 respondents at the University College Hospital in Ibadan, Nigeria. The study's discourse analysis revealed that stigmatization is perpetuated through language, including negative stereotypes, body shaming, spiritual interpretations, and derogatory terms. These discourses reflect broader social and cultural factors such as norms, beliefs, and power dynamics that reinforce stigmatization. The research highlights the effects of stigmatizing language, including denial, loss of femininity, shame, and fear of a new identity. The findings call for policies and interventions to reduce stigma, improve patient experiences, and raise public awareness of breast cancer.

Authors

Institutions

Publication Details

Journal
Health Communication
Published
2025-04-21
DOI
https://doi.org/10.1080/10410236.2025.2492216
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Critical Discourse Analysis of the Language of Stigmatization of Breast Cancer Patients in Nigeria

Omobolaji Ayandipo, Ronke Eunice Okhuosi, J. O. Oyeleke
Health Communication
Health Literacy and Information Accessibility
article

A Critical Discourse Analysis of the Language of Stigmatization of Breast Cancer Patients in Nigeria

Omobolaji Ayandipo, Ronke Eunice Okhuosi, J. O. Oyeleke
article en

Abstract

Breast cancer is a significant health concern globally, including in Nigeria, where its incidence is rising. An essential component of breast cancer care is the psychosocial wellbeing of patients, which is often shaped by the language used in healthcare and society. While some research has explored stigmatization of breast cancer patients, no study has focused on language as a tool for this stigmatization in Nigeria. This study examines how language perpetuates the stigmatization of breast cancer patients and explores ways to use language to improve their lives and health. Using Norman Fairclough's model of critical discourse analysis and a descriptive design, data was collected through interviews with 50 respondents at the University College Hospital in Ibadan, Nigeria. The study's discourse analysis revealed that stigmatization is perpetuated through language, including negative stereotypes, body shaming, spiritual interpretations, and derogatory terms. These discourses reflect broader social and cultural factors such as norms, beliefs, and power dynamics that reinforce stigmatization. The research highlights the effects of stigmatizing language, including denial, loss of femininity, shame, and fear of a new identity. The findings call for policies and interventions to reduce stigma, improve patient experiences, and raise public awareness of breast cancer.

Health CommunicationVol. 40(14)
University of Ibadan (NG), University College Hospital, Ibadan (NG)
Gender equality
Openalex Percentile: Top 87%
Health Literacy and Information Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.