AI Article Synopsis

  • The study evaluated the Arabic version of the Exercise Self-Efficacy scale (ESE-A) for reliability and validity among Jordanian patients with chronic diseases, using a descriptive cross-sectional design.
  • Results showed positive correlations between ESE-A scores and participants' weekly exercise frequency, duration, and overall physical exercise evaluation, indicating that those with higher self-efficacy were more likely to exercise.
  • The ESE-A demonstrated strong psychometric properties, with high reliability scores and exploratory factor analysis supporting its effectiveness as a measure for exercise self-efficacy in Arabic-speaking populations.

Article Abstract

This study assessed the psychometric properties of the Arabic version of Exercise Self-Efficacy scale (ESE-A) among Jordanian outpatients with a variety of chronic diseases using descriptive cross-sectional design. Participants' scores of ESE-A significantly correlated with their reported weekly exercise frequency ( r = .23, p< .001), duration ( r = .31, p< .001), and evaluation of their physical exercise ( r = .39, p< .001). The construct validity was tested using exploratory factor analysis, which retained all items, and the scree plot showed one meaningful factor with an eigenvalue of 10.38 and an explained variance of 57.7%. Furthermore, Cronbach's alpha was .89 and split-half coefficient was .83 indicating that the ESE-A is a reliable scale. The ESE-A was found to be a robust measure to evaluate exercise self-efficacy among Arabic patients with chronic diseases. Arabic researchers interested in exercise self-efficacy are invited to utilize the ESE-A in their studies to confirm its psychometric properties.

Download full-text PDF

Source
http://dx.doi.org/10.1177/1054773816683504DOI Listing

Publication Analysis

Top Keywords

exercise self-efficacy
16
chronic diseases
12
self-efficacy scale
8
arabic version
8
psychometric properties
8
scale ese-a
8
exercise
6
ese-a
5
scale validation
4
arabic
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!