Active Public Health & Healthcare Mental Health

Amplifying the mental health of Black university students: A Black, Mad and Disability Studies Intersectional Inquiry

In plain English

AI plain-English summary

Black university students in England are navigating mental health support systems that were not designed for them, and this project aims to change that by centering their own experiences and insights. The problem is stark: while poor mental health among university students is a global crisis, Black students face additional harm from institutional racism, ableism, and sanism—discrimination that existing policies and theories largely ignore. This project fills a gap by treating these intersecting forms of prejudice as a single, compound problem rather than separate issues. The researchers draw on Black Studies, Mad Studies (which challenges psychiatric authority), and Disability Studies to build a framework that actually reflects Black students’ lives. If successful, this work could reshape how universities support Black students. The team will identify concrete examples of enabling practice already happening on campuses—things that work but are not yet shared—and develop methods for universities and third-sector organisations to adopt them. The project also aims to shift public debate, making visible the mental health aspirations of Black students rather than just their struggles. For the university sector, this means moving beyond generic wellbeing services toward genuinely intersectional support. There is no immediate practical application here; the impact is structural and cultural, changing how institutions think about and act on mental health.

View original technical description
The poor mental health of university students constitutes a contemporary global crisis. Black students’ mental health is particularly at risk due to institutional processes of anti-Black racism, ableism and sanism; discrimination often not addressed by theory, policy and practice. This project addresses this truly intersectional problem. We draw on Black, Mad and Disability Studies to explore and enhance the mental health of Black students in four English universities. We will work with Black students, academics, and professional service colleagues. First, we will identify responsive theories, concepts, and resources through intersectional conversations between and across Black, Mad and Disability Studies. Second, we will explore Black students’ experiences and aspirations of mental health support across four universities in England. Third, we will develop innovative methodologies that provide opportunities for Black students, universities, and non-academic organisations to collate and share enabling practice. Fourth, we will identify examples of enabling practice currently existing in the university that can be shared across institutions. Finally, we will raise public debate about the mental health experiences and aspirations of Black university students. Our work will inform the university, research, and third sectors to promote Black, Mad and Disabled Lives in the academy.

View the original record at the funder ↗

Researchers

Antonios Ktenidis (Co-Investigator)Arya Thampuran (Co-Investigator)Manuel Madriaga (Co-Investigator)Nadena Doharty (Principal Investigator)Saadye Ali (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Improving Black women’s health and wellbeing in the UK through the development of an evidence base
An intersectional approach to understanding common mental disorders and suicidality in minority university students
Black bodies on cobbled streets - Understanding the experiences of Black British students at elite universities in the UK
Developing and Evaluating a Stepped Change Whole-University approach for Student Wellbeing and Mental Health
While universities might claim inclusion as a completed enterprise, disabled students often report a different experience. Why is this and how are the

Original classification

Research and Innovation

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.