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Screening for depression in diabetes using the Beck Depression Inventory

P J Lustman1, R E Clouse, L S Griffith

  • 1Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

Psychosomatic Medicine
|January 1, 1997
PubMed
Summary

The Beck Depression Inventory (BDI) effectively screens for major depression in diabetes patients. This tool accurately identifies individuals with depression, aiding in timely diagnosis and treatment for this vulnerable population.

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Area of Science:

  • Psychiatry
  • Endocrinology
  • Clinical Psychology

Background:

  • Diabetes mellitus is a chronic condition associated with a higher prevalence of mental health disorders, including depression.
  • Accurate and efficient screening for depression in diabetic patients is crucial for effective management and improved patient outcomes.

Purpose of the Study:

  • To evaluate the utility of the Beck Depression Inventory (BDI) as a screening tool for major depression in individuals with diabetes mellitus.
  • To compare the performance of the full BDI, its cognitive subscale, and its somatic subscale in identifying depression.

Main Methods:

  • A cohort of 172 diabetic outpatients (59 with insulin-dependent diabetes mellitus, 113 with non-insulin-dependent diabetes mellitus) were assessed using the BDI (21-item, cognitive, and somatic subscales).

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  • Depression diagnosis was confirmed using the Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R) criteria via the National Institute of Mental Health Diagnostic Interview Schedule.
  • Receiver operating characteristic (ROC) analyses were employed to determine the optimal BDI cutoff scores for screening.

    • Main Results:

    • The full BDI, cognitive items, and somatic items all effectively discriminated between depressed and non-depressed diabetic patients (p < .001).
    • Cognitive items demonstrated higher effectiveness than somatic items (p < .0005).
    • A BDI total score cutoff of >= 16 provided the best balance of sensitivity and positive predictive value, identifying over 70% of depressed patients with over 70% certainty in a population with 20% depression prevalence.

    Conclusions:

    • The Beck Depression Inventory is a valuable and effective screening instrument for major depression in patients with diabetes.
    • Further prospective research is recommended to validate these findings in diverse clinical settings and refine performance characteristics.