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Scale Development and Model Validation for the Process of Exercise Engagement for People with Pre-diabetes

Journal of Korean Academy of Nursing 2020년 50권 2호 p.298 ~ 312
KMID : 0806120200500020298
 ( Chang Shu-Chuan ) - Buddhist Tzu Chi General Hospital Nursing Committee

 ( Yeh Hsiu-Chen ) - Buddhist Tzu Chi General Hospital Nursing Committee
 ( Kuo Yu-Lun ) - Tzu Chi University of Science and Technology Department of Nursing

Abstract

Purpose: This study had two objectives: 1) to develop a scale for the process of exercise engagement (SPEE) for prediabetic individuals (PDIs); 2) to validate a structural model for the process of exercise engagement for PDIs.

Methods: A cross-sectional survey with simple random sampling was conducted from September 2013 to December 2015 (in Taiwan). A total of 310 PDIs were enrolled for scale development and model validation via item analysis, factor analyses, and structural equation modeling. The Kuo model was used as the basis for developing the Chinese version of the SPEE for PDIs.

Results: The SPEE contains five subscales with a total of twenty-one items that account for 54.9% to 65.9% of the total variance explained for assessing participants’ process of engagement during exercise. For Kuo model validation, the model measures indicated goodness of fit between the Kuo model and sample data. Analysis further revealed a direct effect between the creating health blueprints (CHB) stage and the spontaneous regular exercise (SRE) stage (b=.60).
Conclusion: The SPEE includes five subscales for assessing the psychological transition and behavioral expression at each stage of the process of exercise engagement for PDIs. The SPEE for people with prediabetes provides deeper insights into the factors of behavioral change stages that are required to initiate long-term health care outcomes and avoid developing diabetes. These insights are significant as they allow for patient- specific mapping and behavior modification to effect exercise.
KeyWords

Prediabetes, Exercises, Prevention, Instruments, Structural Models
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