Cognitive disturbance comparison among drug-naïve depressed cases and healthy controls

J Coll Physicians Surg Pak. 2011 Jun;21(6):351-5.

Abstract

Objective: To assess and compare cognitive disturbances among newly diagnosed depressed and healthy control cases on the McNair and Kahn auto-evaluation scale.

Study design: Comparative, cross-sectional study.

Place and duration of study: Out-patients Department of Psychiatry, Jinnah Postgraduate Medical Centre, Karachi, Pakistan, from February to May, 2007.

Methodology: All consecutive new cases reporting at the out patient department were screened for depressive illness. They were matched with healthy-controls aged between 18-40 years. Clinical assessment was carried out on the basis of detailed history, physical examination, mental state examination by psychiatrists. For diagnostic purpose, application of ICD-10 followed by administration of Scale for Cognitive Difficulties.

Results: Sixty subjects, 30 depressed patients (20 females and 10 males) and 30 healthy-controls (18 females and 12 males) were assessed. The age of cases with depressive disorder ranged 18-38 years. It was found that 63.3% (65% females and 60% males) depressed patients had cognitive difficulties compared to 3.3% of healthy-controls (p < 0.001). Proportions were compared using chi-square test with significance at p < 0.05.

Conclusion: Depression is not merely an emotional (mood) disorder but has an impact on cognition domain as well. Attention/concentration was the most common domain of cognition affected, followed by memory disturbance among the drug-naïve depressed patients.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Antidepressive Agents / therapeutic use*
  • Attention
  • Case-Control Studies
  • Chi-Square Distribution
  • Cognition Disorders / psychology*
  • Cross-Sectional Studies
  • Depression / drug therapy*
  • Female
  • Humans
  • Male
  • Outpatients
  • Psychometrics
  • Treatment Outcome
  • Young Adult

Substances

  • Antidepressive Agents