Measurement Properties of a Self-Report Index of Ergonomic Exposures for Use in an Office Work Environment

Abstract

Office work-related upper extremity symptoms and disorders have been associated with static work posture, repetition, and inadequate recovery in the anatomic structures of the neck and upper extremities. Despite these associations there is relatively little research on the development of practical measures of these ergonomic exposures. The present study examines the measurement properties of an upper-extremity specific self-report index of ergonomic exposures. Ninety-two symptomatic office workers completed a web-based questionnaire measuring demographic variables, ergonomic exposures, pain, job stress, and functional limitations. Comparisons of internal consistency, construct validity, and discriminative and predictive abilities were made between the self-report index and an observational exposure assessment checklist. Results indicated that the self-report index had acceptable measurement properties. Furthermore, higher levels of self-reported ergonomic exposures were associated with upper extremity pain, symptom severity, and functional limitations. In contrast, higher levels of observed exposure were only related to lower levels of general physical function. The self-report measure has potential for use in occupational health surveillance programs for office work environments and as an outcome measure of ergonomic exposure in intervention trials. These results also suggest the need for utilizing multiple methods when assessing ergonomic exposures.

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Document Details

Document Type
Technical Report
Publication Date
Feb 19, 2002
Accession Number
ADA399366

Entities

People

  • Dane J. Dane
  • Danielle Ali
  • Grant D. Huang
  • Lennart Dimberg
  • Michael Feuerstein

Organizations

  • Uniformed Services University of the Health Sciences

Tags

DTIC Thesaurus Topics

  • Air Force
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Environment
  • Health
  • Health Services
  • Information Science
  • Measurement
  • Medical Personnel
  • Psychology
  • Public Health
  • Regression Analysis
  • Statistical Analysis
  • Surveys
  • Upper Extremity

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