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Final Thesis Document.pdf (1.38 MB)

ETD Abstract Container

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Internal Health Locus of Control Predicts Willingness to Track Health Behaviors Online and with Smartphone Apps

Bennett, Brooke L
http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1367858561

Abstract Details

2013, BA, Kent State University, College of Arts and Sciences / Department of Psychological Sciences.
As the style of behavioral health interventions continues to move towards greater use of technology, health locus of control and willingness to use technology-based interventions, or mHealth; may be important factors in the success of these interventions. Research illustrates higher internal locus of control predicts better health-promoting and preventative health behaviors. Research has also demonstrated the initial results for technology-based programs are successful as interventional tools. However, more research is needed on the factors that make individuals more likely to participate in technology-based interventions, such as current rates of participation in risky health behaviors and health locus of control. It was hypothesized internal and powerful other health locus of control beliefs and lower participation in risky health behaviors would predict willing to use online trackers and apps as intervention tools in contrast with chance health locus of control beliefs. This investigation used established measures of health locus of control and risky health behaviors as well as measures of willingness to use online trackers and apps that were created for this study. Overall, those with internal and powerful other health locus of control beliefs were more willing to use online trackers and apps. Additionally, no relationship was found between participation in risky health behaviors and willingness to use technology-based intervention tools. These results suggest health locus of control serves as a mediating factor for use of technological tools for intervention. Furthermore, these results suggested that individualized interventions may increase willingness to participate.
Joel Hughes, Ph.D. (Advisor)
Amy Sato, Ph.D. (Committee Member)
R. Scott Olds, Ph.D. (Committee Member)
Manfred VanDulmen, Ph.D. (Committee Member)
66 p.
Health; Psychology
health locus of control; internal health locus of control; interventions; willingness to use technology; mHealth; smartphone apps; online trackers; health behaviors

Recommended Citations

Citations

  • Bennett, B. L. (2013). Internal Health Locus of Control Predicts Willingness to Track Health Behaviors Online and with Smartphone Apps [Undergraduate thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1367858561

    APA Style (7th edition)

  • Bennett, Brooke. Internal Health Locus of Control Predicts Willingness to Track Health Behaviors Online and with Smartphone Apps. 2013. Kent State University, Undergraduate thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1367858561.

    MLA Style (8th edition)

  • Bennett, Brooke. "Internal Health Locus of Control Predicts Willingness to Track Health Behaviors Online and with Smartphone Apps." Undergraduate thesis, Kent State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1367858561

    Chicago Manual of Style (17th edition)

ksuhonors1367858561
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© 2013, all rights reserved.
This open access ETD is published by Kent State University Honors College and OhioLINK.