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THE DIFFERENCE BETWEEN THE STAGES OF CHANGE AND ADVERTISEMENT ACCEPTANCE OF COLLEGE-AGED STUDENTSLIPPITT, HEATHER KATHLEEN January 2000 (has links)
No description available.
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The influence of personal characteristics, attitude, subjective norm, perceived behavioral control, and recent past behavior as predictors of university students’ intention to utilize emergency contraceptionGriggs, Scott Karr 16 June 2011 (has links)
The purpose of this study was to use the Theory of Planned Behavior (TPB) to predict university students’ intention to use emergency contraception (EC). The study explored the utility of the TPB model constructs (attitude [A], subjective norm [SN], perceived behavioral control [PBC]) as well as recent past behavior (RPB) to predict students’ intention to utilize EC. The study also investigated the significance of demographic and personal characteristics—age and gender in particular—as they relate to the TPB components and RPB.
A web-based survey, developed from three structured focus groups, was pretested and emailed to 2,000 university students. An overall usable response rate of 21.0 percent was obtained. In general, university students intended to use EC should the need occur, held favorable attitudes toward the use of EC, were somewhat influenced by social norms regarding EC use, and perceived themselves to have some control over EC utilization. For direct measures (TPB), A, SN, and PBC were significant predictors of intention to use EC. The direct model explained 49.2 percent of the variance in intention. Using indirect measures, A and SN were significant predictors of intention, but PBC was not; the indirect model accounted for 41.3 percent of the variance in intention to take EC. Attitude was the strongest TPB predictor for both models, followed by SN and PBC. The RPB variable did not significantly improve the TPB model. While hypothesized age differences were not significant, gender differences showed female students having a more favorable A and SN as well as a stronger PBC (direct measures) toward the use of EC. In addition, several statistically significant relationships occurred between demographic/personal characteristics and the TPB constructs.
In summary, this study identified several key factors that partially explain why university students either intend or do not intend to use EC if needed. The TPB has utility in predicting utilization of EC in university students. Focusing particular attention on A, as well as SN and PBC, will allow researchers, educators, healthcare professionals, and legislators to develop strategies and educational programs to enable men and women to use EC responsibly. / text
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The Impact of Arthritis on the Health-Related Quality of Life Among Individuals at the University of Central FloridaGarwood, Ryan E. 01 January 2017 (has links)
This purpose of the study is to examine the difference in the health-related quality of life (HRQOL) between individuals who suffer from physician-diagnosed arthritis compared with individuals who do not suffer from physician-diagnosed arthritis in a population of university students, faculty, and staff. The study sampled from a population of students, faculty, and staff at the University of Central Florida. Through the implantation of a cross-sectional ecological design, differences between the two groups were measured with a survey that measures health-related quality of life, such as the 36-Item Short Form Health Survey (SF-36). The SF-36 questionnaire was distributed to subjects through a campus-wide email system and was administered through Qualtrics, an online survey program. Literature suggests lower SF-36 scores for individuals suffering from arthritis, but is lacking in investigating the effect of arthritis on college-aged students, particularly within the 18-24 age group. The study aims to close this gap in the literature. SPSS software was used to analyze results through tests of association, like ANOVA, which measured differences in the SF-36 scores of subjects with physician-diagnosed arthritis and subjects without physician-diagnosed arthritis. Results showed a significant difference in the HR-QOL scores between individuals with arthritis and individuals without arthritis, as well as age, gender, ethnicity, and the presence of joint pain.
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