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Related Experiment Videos

The Kendrick Battery: sensitivity to survival effects.

B Hayslip1, M Fish, R Wilson

  • 1Department of Psychology, University of North Texas, Denton 76203.

International Journal of Aging & Human Development
|January 1, 1989
PubMed
Summary

The Kendrick Battery (KB) and other measures can predict mortality in the elderly. Cognitive function, depression, and organicity, along with institutionalization factors, help identify individuals at higher risk of death.

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Area of Science:

  • Gerontology
  • Neuropsychology
  • Psychometrics

Background:

  • Assessing cognitive decline and mortality risk in institutionalized elderly is crucial.
  • Previous research indicates a link between cognitive function and longevity.

Purpose of the Study:

  • To determine the sensitivity of the Kendrick Battery (KB) to mortality effects in institutionalized older adults.
  • To identify predictors of mortality among this population.

Main Methods:

  • Compared residualized pre-death KB scores (Digit Copying, Object Learning), affect (Zung Depression), and organicity (Luria Pathognomic Scale, Orientation Test) in 53 elderly individuals.
  • Utilized step-wise discriminant analyses to differentiate survivors and nonsurvivors.
  • Followed participants for mortality over 18 months and 6 years post-assessment.

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Main Results:

  • Discriminant functions predicting mortality included KB subtests, organicity, depression, age of institutionalization, sex, and length of institutionalization.
  • These factors collectively differentiated between survivors and nonsurvivors.
  • Findings largely replicated previous research on predictors of death in the elderly.

Conclusions:

  • The Kendrick Battery subtests, alongside measures of depression, organicity, and institutionalization variables, are significant predictors of mortality in the institutionalized elderly.
  • These findings support the utility of the KB in assessing mortality risk in this demographic.
  • The study underscores the multifactorial nature of mortality prediction in older adults.