Abstract

Background: This study used item response theory (IRT) to create a brief PF scale (BPFS) and subsequently examined its relationship with several health characteristics. Methods: Data were used from N=1,716 adults 50+ years of age participating in a large health survey. A pool of 19 PF items were dichotomized to either 1 (any amount of difficulty) or 0 (no difficulty). A 2-parameter logistic (2PL) IRT model was used to evaluate item fit to the unidimensional PF construct. Criteria used to eliminate an item was 1) a small discrimination (slope) parameter, 2) a significant chi-square statistic for cell residuals, and 3) a large root mean square error of approximation (RMSEA). The IRT model was continually re-fitted until all remaining items met criteria. SAS PROC IRT and R ltm were used for scale construction. Results: The IRT analysis resulted in 8 well-fitting items with large item discrimination (as > 2.03), moderate item difficulty range (bs: -0.07 - 1.35), and adequate item fit (RMSEAs ps OR = 1.59), being depressed (OR = 1.46), having thoughts of suicide (OR = 1.35), not meeting PA guidelines (OR = 1.29), being BMI-obese (OR = 1.23), being WC-obese (OR = 1.13), experiencing poor sleep (OR = 1.29), and reporting sleepiness (OR = 1.16). Conclusion: Results from this study show that the IRT-constructed BPFS is an efficient and valid tool that can predict health status in older adults.

Highlights

  • [1] The proper assessment of Physical functioning (PF) is important to health professionals due to the strong links between PF and injury, illness, and mortality. [2,3,4] Several objective measures of PF are used in research and practice and include grip strength, walking speed, chair raises, and standing balance tests

  • item response theory (IRT) models can assess the functioning of each item to determine how well they perform in measuring the trait of interest

  • The IRT analysis resulted in 8 well-fitting items with large item discrimination, moderate item difficulty range, and adequate item fit (RMSEAs < .036)

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Summary

Introduction

Physical functioning (PF) is the ability to engage in daily activities of varying importance. [1] The proper assessment of PF is important to health professionals due to the strong links between PF and injury, illness, and mortality. [2,3,4] Several objective measures of PF are used in research and practice and include grip strength, walking speed, chair raises, and standing balance tests. [5] When direct participant examination is not possible, a very popular PF assessment alternative is the use of self-reported assessments. Classical test theory (CTT) is the most common and conventional model used by researchers to validate self-reported scales. A more modern approach to scale development and validation, which can complement CTT-based research, is item response theory (IRT). IRT provides a system of mathematical equations which can model the relationship between latent traits and observed responses to items.. The purpose of this study was to firstly use IRT to create a brief PF scale (BPFS) and secondly to examine the relationship between BPFS scores and several different health characteristics. This study used item response theory (IRT) to create a brief PF scale (BPFS) and subsequently examined its relationship with several health characteristics. Conclusion: Results from this study show that the IRT-constructed BPFS is an efficient and valid tool that can predict health status in older adults

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