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Reference Values for 7 Different Protocols of Simple Functional Tests: A Multicenter Study.

Karina Couto Furlanetto1, Natielly Soares Correia2, Rafael Mesquita3

  • 1Stricto Sensu Graduate Program in Rehabilitation Sciences, University Pitágoras Unopar, Londrina, Paraná; Laboratory of Research in Respiratory Physiotherapy, Health Sciences Center, State University of Londrina (UEL), Londrina, Paraná; Graduate Program in Rehabilitation Sciences, Universidade Nove de Julho(UNINOVE), São Paulo, São Paulo.

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Summary

This study provides reference values and equations for seven functional tests in adults aged 20-80. These findings aid clinicians in identifying functional impairments using simple, easy-to-perform assessments.

Keywords:
Exercise testPhysical fitnessPhysical functional performanceReference valuesRehabilitationReliabilityWalking

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Area of Science:

  • Gerontology
  • Physical Therapy
  • Biomedical Engineering

Background:

  • Establishing normative data for functional tests is crucial for assessing physical performance in adults.
  • Simple functional tests are widely used but require standardized reference values for accurate interpretation.
  • Multicenter studies are essential for generalizability of reference data across diverse populations.

Purpose of the Study:

  • To establish reference values and regression equations for seven simple functional tests in adults aged 20-80 years.
  • To provide clinicians and researchers with tools to identify and quantify functional impairments.
  • To ensure the reliability and applicability of these reference values in clinical practice.

Main Methods:

  • A multicenter, cross-sectional study involving 296 healthy adult volunteers (aged 20-80 years).
  • Participants performed seven functional tests twice: 4-meter gait speed (usual and maximal), Sit-to-Stand (5 reps, 30s, 1 min), and Timed Up and Go (usual and maximal).
  • Spirometry, quality of life, physical activity, and comorbidities were also assessed to characterize the sample.

Main Results:

  • Reference values and normality limits were established for each 10-year age group and sex.
  • Regression models yielded reference equations for all seven functional tests.
  • All tests showed significant correlations with age and body mass index (P<.05).

Conclusions:

  • This study successfully generated reference values and equations for seven widely used functional tests.
  • These data can assist healthcare professionals in the objective assessment of functional status.
  • The provided equations facilitate the identification and quantification of functional limitations in clinical settings.