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Related Concept Videos

Self-Report Tests of Personality01:22

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Measuring frailty using self-report and test-based health measures.

O Theou1, M D L O'Connell2, B L King-Kallimanis2

  • 1Dalhousie University, Geriatric Medicine, Veterans' Memorial Building, 5955 Veterans' Memorial Lane, Halifax, Nova Scotia B3H2E1, Canada.

Age and Ageing
|February 18, 2015
PubMed
Summary

Frailty assessment is similar whether using self-reported or test-based health measures. Combining both provides the strongest prediction for adverse outcomes, indicating a comprehensive approach to frailty is best.

Keywords:
frailtyfrailty indexolder peopleself-reported health measurestest-based health measures

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Area of Science:

  • Gerontology
  • Public Health
  • Biostatistics

Background:

  • Frailty indices traditionally rely on subjective health measures, potentially impacting findings due to reporting errors.
  • Objective assessment is crucial for robust frailty research.

Purpose of the Study:

  • To compare frailty assessment using solely self-reported versus test-based health measures.
  • To determine the optimal construction of frailty indices.

Main Methods:

  • Secondary analysis of The Irish LongituDinal study on Ageing (TILDA) data.
  • Inclusion of 4,961 Irish residents aged over 50.
  • Construction of three frailty indices: self-reported (SRFI), test-based (TBFI), and combined (CFI).
  • Examination of 2-year follow-up outcomes including mortality, disability, hospitalization, and falls.

Main Results:

  • All frailty indices exhibited similar distributions and relationships with age and adverse outcomes.
  • Frailty levels were lower with self-reported measures (SRFI: 0.12 ± 0.09) compared to test-based (TBFI: 0.17 ± 0.15).
  • The combined index (CFI: 0.14 ± 0.13) showed the strongest prediction for adverse outcomes (ROC: 0.64-0.81).
  • Age was not a significant predictor when included in the regression model with CFI.

Conclusions:

  • Frailty characteristics are consistent regardless of whether self-reported or test-based measures are used.
  • Combining both self-reported and test-based measures is recommended for accurate frailty identification.
  • The combined frailty index (CFI) offers superior predictive power for adverse health outcomes.