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Factor structure of the Hamilton Rating Scale for Depression in a cohort of community-dwelling elderly

L L Onega1, I L Abraham

  • 1Oregon Health Sciences University, School of Nursing, Gerontology Division, Portland 97201, USA.

Insights

The Hamilton Rating Scale for Depression (HRS-D) has a four-factor structure in older adults, identifying depressed affect, vegetative symptoms, anxiety, and agitation/insight. This validated structure aids in assessing depression in the elderly.

Area of Science:

  • Geriatric Psychiatry
  • Psychometric Evaluation
  • Clinical Psychology

Background:

  • Depression is a significant concern in community-dwelling elderly populations.
  • The Hamilton Rating Scale for Depression (HRS-D) is a widely used instrument for assessing depressive symptom severity.
  • Understanding the factor structure of the HRS-D in older adults is crucial for accurate clinical assessment.

Purpose of the Study:

  • To examine the factor structure of the 17-item Hamilton Rating Scale for Depression (HRS-D).
  • To determine if the HRS-D exhibits a consistent factor structure in community-dwelling elderly patients.
  • To validate the use of the HRS-D for assessing specific dimensions of depression in this demographic.

Main Methods:

  • Principal components analysis was employed to analyze the factor structure.
  • Quartimax rotation was utilized to aid in factor interpretation.
  • The study included 206 community-dwelling elderly patients.

Main Results:

  • A four-factor structure was identified, encompassing all 17 items of the HRS-D.
  • These factors accounted for 57.7% of the total variance.
  • The identified dimensions were: depressed affect, vegetative symptoms, anxiety, and agitation/insight.

Conclusions:

  • The four-factor structure of the HRS-D accurately reflects depressive symptomatology in community-dwelling elderly.
  • The findings support the clinical utility of the HRS-D for assessing major dimensions of depressive illness in older adults.
  • This validated structure enhances the reliability of depression assessment in geriatric populations.

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