Baseline physical and cognitive functions associate with the longitudinal trajectory of stigma in patients with

Mahsa Ghajarzadeh1, Yishang Huang1, Ellen M Mowry1

  • 1Department of Neurology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21218-2625, USA.

Abstract

Insights

Stigma in multiple sclerosis (MS) follows stable trajectories, predicted by baseline physical disability and processing speed. Understanding these patterns is crucial for managing MS.

Area of Science:

  • Neurology
  • Psychosocial Health
  • Chronic Disease Management

Background:

  • Multiple sclerosis (MS) is a chronic, heterogeneous neurological condition.
  • The lived experience of individuals with MS varies significantly.
  • Understanding psychosocial factors like stigma is vital for comprehensive MS care.

Purpose of the Study:

  • To analyze longitudinal stigma trajectories in MS.
  • To identify baseline predictors associated with these stigma trajectories.
  • To examine the relationship between stigma trajectories and physical disability progression.

Main Methods:

  • Utilized data from the MS Partners Advancing Technology and Health Solutions (MS PATHS) network.
  • Applied group-based trajectory modeling (GBTM) to longitudinal stigma (Neuro-QoL) and physical disability (PDDS) measures.
  • Included 8,404 participants with a mean follow-up of 2.8 years.

Main Results:

  • Identified four distinct, stable stigma trajectories over the follow-up period.
  • Higher baseline physical disability (PDDS) and worse processing speed predicted higher stigma trajectories.
  • Stigma trajectory was strongly associated with the physical disability (PDDS) trajectory.

Conclusions:

  • Baseline stigma severity, physical disability, and processing speed are key predictors of long-term stigma trajectories in MS.
  • These findings highlight the interconnectedness of psychosocial and physical aspects of MS.
  • Informing interventions to mitigate stigma and support individuals with MS.

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