Objectives: The purpose of this study was to examine the function, health status, and efficacy effects of a combined exercise program using an iPad among older women in Korea, a tech-savvy country. Methods: The study employed a pretest and posttest experimental design with a control group. The experimental group of subjects comprised 16 female older adults and the control group comprised 10 who were aged 65 years or older. The experimental group participated in a supervised groupbased exercise program and an individualized home-based exercise program that involved the use of an iPad. The combined group and home-based exercise program consisted of group exercise, which took place in a senior center for 30 minutes weekly, and a home-based iPad exercise program, which the subjects followed at least 3 times a week. The collected data were analyzed using the Statistical Analysis System (SAS ver. 9.3 TS Level 1M0) program, which utilized a chi-square test, a Fisher exact test, a t-test, and a repeated-measures ANOVA. Results: The results showed that cognitive status changed significantly over time, and there was an interaction between group and time. Further, self-efficacy for exercise and outcome expectations for exercise changed significantly over time. Conclusions: Exercise programs using iPad interventions may be useful for the management of cognitive functioning and the integration of functional physical abilities in older adults.
Bibliographical noteFunding Information:
This work was supported by Ewha University Research Grant of 2010. In addition, this research was partially supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2013R1A1A1010718). The authors thank to all subjects who participated in the study. The authors also would like to thank Dr. Yoo who gave us statistical advice for the analysis data.
© 2016 The Korean Society of Medical Informatics.
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Health Informatics
- Health Information Management