Reducing Stigma, Enhancing Psychological Well-Being and Identity in Multiple Sclerosis: A Narrative Review of Current...

Stigma is a pervasive, though understudied, psychosocial factor affecting people with multiple sclerosis. This review synthesizes the literature on the impact of perceived, enacted, and internalized stigma on psychological health and illness identity in PwMS.

A comprehensive narrative review approach was adopted, integrating findings from peer-reviewed quantitative and qualitative studies. Databases including PubMed, PsycINFO, and Scopus were searched using combinations of terms such as "multiple sclerosis", "stigma", "internalized stigma", "mental health", and "illness identity". Studies were included if they reported on stigma-related outcomes in PwMS, discussed psychological or identity variables, or examined interventions aimed at reducing stigma or enhancing adaptive identity. The analysis focused on thematic synthesis, identifying recurrent findings, mediating mechanisms, and clinical implications.

Stigma in MS is consistently linked to higher depression, anxiety, and lower quality of life. Internalized stigma disrupts illness identity, often fostering engulfment and rejection of the self. Psychological mediators-such as cognitive fusion, diminished self-compassion, and weakened sense of coherence-amplify these outcomes. Particularly vulnerable are individuals with progressive disease, severe disability, minority status, or limited social support. A recursive loop emerges: stigma triggers psychological distress, which increases stigma awareness and social withdrawal. In addition to traditional psychological interventions, several emerging approaches have shown promise in reducing internalized stigma and fostering adaptive identity integration.

Stigma is a central factor in emotional suffering and identity fragmentation in PwMS. Integrative, narrative-informed, and culturally sensitive interventions are essential to reduce stigma and foster resilience. Future research should prioritize longitudinal, mixed-method approaches to develop effective, scalable solutions.