Brothers leading healthy lives: outcomes from the pilot testing of a culturally and contextually congruent HIV prevention intervention for black male college students

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Robert E. Aronson, Associate Professor (Creator)
Jeffrey Labban (Creator)
Kelly L. Rulison, Associate Professor (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: We used a treatment group-only design to pilot test a newly developed intervention to increase condom use among higher risk heterosexually active African American/black male college students. A community-based participatory research partnership developed the intervention called Brothers Leading Healthy Lives. Following an initial screening of 245 men, 81 eligible men were contacted for participation. Of the 64 men who agreed to participate, 57 completed the intervention and 54 of those completed the 3-monthfollow-up assessment, for a 93% completion rate. Results show significant changes between the baseline and 3-month follow-up assessments in behavioral outcomes, including reductions in unprotected sex, increase in protection during last intercourse, and fewer condom use errors. Most potential mediators (knowledge, attitudes, intentions, and condom use self-efficacy) also changed significantly in the expected direction. These demonstrated changes provide good evidence that men exposed to this intervention will see changes that reduce their risk for HIV.

Additional Information

Publication
AIDS education and prevention : official publication of the International Society for AIDS Education, 25(5), 376-393
Language: English
Date: 2013
Keywords
HIV infections -- prevention, Action research, Analysis of variance, Behavior modification, Blacks, College students, Condoms, Probability theory, Questionnaires, Research -- Finance, Industrial research, Self-efficacy, Pilot projects, Safe sex, Harm reduction (Human behavior), Pre-tests & post-tests, Repeated measure design, Descriptive statistics

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