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1.
J Am Coll Health ; 60(2): 175-7, 2012.
Article in English | MEDLINE | ID: mdl-22316415

ABSTRACT

OBJECTIVES: The authors aimed to determine the most effective brief sexual health intervention for college students, while also evaluating students' preferences for learning about sexual health, in order to develop a university program. METHODS: A total of 302 students enrolled in an introductory college course participated and were randomly assigned to 1 of 3 brief interventions during a regularly scheduled class and completed pre- and postsurveys assessing knowledge, motivation to use condoms, and condom self-efficacy. RESULTS: Findings indicated that having an actual person in charge of the learning process resulted in higher knowledge gains and highlighted a student preference for discussion-based learning, viewing pictures of sexually transmitted infections, and hearing real-life experiences about the consequences of unsafe sex. CONCLUSIONS: These findings will be used to tailor a future intervention targeting college students for use with freshmen students at this university.


Subject(s)
Health Knowledge, Attitudes, Practice , Sex Education/methods , Sexual Behavior/psychology , Sexually Transmitted Diseases/prevention & control , Students/psychology , Humans , Missouri , Sex Education/standards , Sexual Behavior/statistics & numerical data , Sexually Transmitted Diseases/etiology , Students/statistics & numerical data , Universities , Young Adult
2.
Am J Health Behav ; 35(5): 568-80, 2011 Sep.
Article in English | MEDLINE | ID: mdl-22040618

ABSTRACT

OBJECTIVE: To determine if the Information-Motivation-Behavioral Skills model was effective for development of a smokeless tobacco educational unit (STEU) and analysis of STEU effects. METHODS: Structural equation modeling was used to test component relations proposed by the IMB model and STEU effects on parallel growth of IMB components. RESULTS: Results confirmed IMB model component relationships and indicated that STEU effects were primarily on information with indirect effects on expectancies and self-efficacy change through information. CONCLUSIONS: Prevention programming needs to address all IMB model components. Organizing analysis around the IMB model provides better understanding of program outcomes.


Subject(s)
Health Education/statistics & numerical data , Intention , Models, Psychological , Students/psychology , Tobacco Use Cessation/psychology , Adolescent , Child , Female , Health Education/methods , Humans , Male , Motivation , Nebraska , Rural Population/statistics & numerical data , Schools , Self Efficacy , Tobacco Use Cessation/methods
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