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Reducing State Anxiety Using Working Memory Maintenance
08:17

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Published on: July 19, 2017

Anxiety state affects information processing speed in patients with multiple sclerosis.

Benedetta Goretti1, R G Viterbo, E Portaccio

  • 1Department of NEUROFARBA, University of Florence, Largo Brambilla, 3, 50134, Florence, Italy, begoret@tin.it.

Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
|September 28, 2013
PubMed
Summary

Anxiety and depression significantly impact cognitive function in relapsing-remitting Multiple Sclerosis (RRMS) patients. Higher anxiety levels correlated with poorer performance on attention and processing speed tests, while depression affected overall cognitive impairment.

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Area of Science:

  • Neuroscience
  • Clinical Psychology
  • Neurology

Background:

  • Cognitive impairment is a common challenge for patients with relapsing-remitting Multiple Sclerosis (RRMS).
  • The influence of psychological factors like anxiety and depression on cognitive performance in RRMS requires further investigation.

Purpose of the Study:

  • To examine the relationship between anxiety and cognitive performance in a clinical group of RRMS patients.
  • To identify specific cognitive domains affected by anxiety and depression in this population.

Main Methods:

  • 190 RRMS patients (140 female) were assessed using the Beck Depression Inventory, State-Trait Anxiety Inventory, and Rao's Brief Repeatable Battery.
  • Cognitive impairment was defined by specific test performance criteria.
  • Statistical analyses, including univariate analysis and odds ratios, were employed.

Main Results:

  • 40% of patients exhibited cognitive impairment, primarily affecting complex attention and information processing speed (SDMT, PASAT).
  • State anxiety was linked to poorer performance on the SDMT and marginally to the PASAT-3 and overall cognitive impairment.
  • Higher depression scores correlated with increased risk of cognitive impairment (OR = 1.05).

Conclusions:

  • Anxiety and depression are significant factors associated with cognitive deficits in RRMS patients.
  • Targeting anxiety and depression may be crucial for improving cognitive outcomes in RRMS management.