Symptom Checklist 90-Revised in neurological outpatients

J Clin Exp Neuropsychol. 2014;36(2):170-7. doi: 10.1080/13803395.2013.875519. Epub 2014 Jan 30.

Abstract

The Symptom Checklist 90-Revised (SCL-90-R) is an international, widely used, self-report questionnaire of multidimensional complaints with normative data for healthy control subjects and psychiatric patients. The questionnaire is also often used in neurological patients. Little is known about the amount and pattern of complaints in this group, and normative data are lacking. We therefore analyzed self-reported symptoms on the SCL-90-R of a neurological population (N = 600). Moreover, we compared the answer patterns of five subgroups: neurodegenerative disease, cerebrovascular disease, epilepsy, brain tumor, and traumatic brain injury. Neurological outpatients scored significantly higher in comparison with normative data from healthy control subjects, with most pronounced scores on Inadequacy of Thinking and Acting, Depression, and Somatization (p < .01, effect sizes 1.69, 0.83, and 0.83). No differences between the various pathologies were found. Although it is difficult to determine whether the complaints arise directly from the neurological disease or more indirectly from psychiatric disturbances accompanying the disease, simply comparing a neurological patient to normative data for healthy control subjects can lead to inappropriate classifications. Complaints of our patients should not be directly interpreted as psychopathology. A two-step procedure in which scores on the SCL-90-R are first compared to healthy control subjects and secondly to neurological patients can be helpful in the interpretation.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Checklist / standards
  • Checklist / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nervous System Diseases / physiopathology*
  • Outpatients / statistics & numerical data
  • Psychiatric Status Rating Scales / standards*
  • Psychiatric Status Rating Scales / statistics & numerical data
  • Reference Values