Abstract
Risk reduction interventions that promote condom use, a vital component of most HIV prevention interventions, have been successful in increasing condom use among African American adolescents. Understanding theoretical components that lead to behavior change and selecting relevant risk reduction messages remain important considerations for targeting new interventions and tailoring existing interventions. The present study sought to (1) identify the most important theoretical determinants of condom use intention in African American adolescent males and females, separately, using the integrative model of behavior prediction, and (2) identify underlying beliefs within the determinants that were good candidates for message development in similar interventions. Using 446 African American adolescents, multi-group SEM indicated that the gender-specific IM exhibited a better fit than the overall model. Specifically, the IM had a stronger capacity for predicting condom use intention and condom use behavior for adolescent boys. Using a specific criteria for message selection, specific condom use beliefs were discussed as potential candidate messages for both African American males and females.
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References
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg: Springer.
Ajzen, I. (2001). Nature and operations of attitudes. Annual Review of Psychology, 52, 27–58.
Bazargan, M., Stein, J. A., Bazargan-Hejazi, S., & Hindman, D. W. (2010). Using the information-motivation behavioral model to predict sexual behavior among underserved minority youth. Journal of School Health, 80(6), 287–295.
Bentler, P. M., & Speckart, G. (1981). Attitudes “cause” behaviors: A structural equation analysis. Journal of Personality and Social Psychology, 40(2), 226–238.
Bowlega, L., Valerab, P., Tetia, M., & Tschannc, J. M. (2010). Silences, gestures, and words: Nonverbal and verbal communication about HIV/AIDS and condom use in black heterosexual relationships. Health Communication, 25(1), 80–90.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford.
Browne, M. W., & MacCallum, R. (2003). Equivalent models. In M. W. Browne & R. MacCallum (Eds.), Introduction to covariance structure modeling (pp. 204–215). Columbus: Ohio State University.
Carmack, C. C., & Lewis, R. K. (2009). Examining the theory of planned behavior applied to condom use: The effect-indicator vs. causal-indicator models. Journal of Primary Prevention, 30(6), 659–676.
Centers for Disease Control. (2012). Youth risk behavior surveillance-United States, 2011. Surveillance Summaries, 61(8804), 1–162.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.
Chin, H. B., Sipe, T. A., Elder, R., Mercer, S. L., Chattopadhyay, S. K., Jacob, V., & Santelli, J. (2012). The effectiveness of group-based comprehensive risk-reduction and abstinence education interventions to prevent or reduce the risk of adolescent pregnancy, human immunodeficiency virus, and sexually transmitted infections: Two systematic reviews for the guide to community preventive services. American Journal of Preventative Medicine, 42(3), 272–294.
Crosby, R. A., & Cates, W. (2012). Condom use: Still a sexual health staple. Sexual Health, 9, 1–3.
Cudeck, R., & Browne, M. W. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18, 147–167.
DiClemente, R. J., Wingood, G., Harrington, K. R., Lang, D. L., Davies, S. L., Hook, E. W., & Robillard, A. (2004). Efficacy of an HIV prevention intervention for African American adolescent girls. Journal of the American Medical Association, 270, 7601–7762.
Fishbein, M. (2000). The role of theory in HIV prevention. AIDS Care, 12(3), 273–278.
Fishbein, M. (2008). A reasoned action approach to health promotion. Medical Decision Making, 28, 834–844.
Fishbein, M., & Cappella, J. (2006). The role of theory in developing effective health communications. Journal of Communication, 56, S1–S17.
Fishbein, M., Guenther-Grey, C., Johnson, W. D., Wolitski, R. J., McAlister, A., Rietmeijer, C. A., et al. (1996). Using a theory-based community intervention to reduce AIDS risk behaviours: The CEC’s AIDS community demonstration projects. In S. Okskamp & S. C. Thompson (Eds.), Understanding and preventing HIV risk behavior: Safer sex and drug use (pp. 177–206). Thousand Oaks, CA: Sage.
Fishbein, M., von Haeften, I., & Appleyard, J. (2001). The role of theory in developing effective interventions: Implications from project SAFER. Psychology, Health and Medicine, 6, 223–238.
Fishbein, M., & Yzer, M. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13(2), 164–183.
Hornik, R., & Woolf, K. D. (1999). Using cross-sectional surveys to plan message strategies. Social Marketing Quarterly, 5(1), 34–41.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Jackson, C., Geddes, R., Haw, S., & Frank, J. (2011). Interventions to prevent substance use and risky sexual behavior in young people: A systematic review. Addiction, 107, 733–747. doi:10.1111/j.1360-0443.2011.03751.x.
Jemmott, J. B., Jemmott, L. W., & Fong, G. T. (1992). Reductions in HIV risk-associated sexual behaviors among black male adolescents: Effects of an AIDS prevention intervention. American Journal of Public Health, 82(3), 372–377.
Jemmott, J. B., Jemmott, L. S., & Fong, G. T. (1998). Abstinence and safer sex HIV risk-reduction interventions for African American adolescents: a randomized controlled trial. Journal of the American Medical Association, 279(19), 1529–1536.
Klien, C. H., & Card, J. J. (2011). Preliminary efficacy of a computer-delivered HIV prevention intervention for African American teenage females. AIDS Education and Prevention, 23(6), 564–576.
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.
Liu, X. (2008). Assessing measurement invariance of the teachers’ perceptions of grading practices scale across cultures. In NERA conference proceedings 2008. Paper 3. Retrieved from: http://digitalcommons.uconn.edu/nera_2008/3
Markham, C. M., Tortolero, S. R., Peskin, M. F., Shegog, R., Thiel, M., Baumler, E. R., & Robin, L. (2012). Sexual risk avoidance and sexual risk reduction interventions for middle school youth: a randomized controlled trial. Journal of Adolescent Health, 50(3), 279–288.
Martinez, G., Copen, C. E., & Abma, J. C. (2011). Teenagers in the United States: Sexual activity, contraceptive use, and childbearing, 2006–2010 National Survey of Family Growth. National Center for Health Statistics. Vital Health Statistics, 23(31), 1–35.
Matson, P. A., Chung, S. E., Sander, P., Millstein, S. G., & Ellen, J. M. (2012). The role of feelings of intimacy on perceptions of risk for a sexually transmitted disease and condom use in the sexual relationships of adolescent African–American females. Sexually Transmitted Infections. Advance online publication. Retrieved from http://sti.bmj.com/. doi:10.1136/sextrans-2012-050536
Reid, A., Magriples, U., Niccolai, L., Gordon, D., Divney, A., & Kershaw, T. (2013). Associations of a sexually transmitted disease diagnosis during a relationship with condom use and psychosocial outcomes: (Short) windows of opportunity. American Journal of Community Psychology, 51(3–4), 510–519.
Rhodes, F., Stein, J. A., Fishbein, M., Goldstein, R. B., & Rotheram-Borus, M. J. (2007). Using theory to understand how interventions work: Project RESPECT, condom use, and the integrative model. AIDS Behavior, 11(3), 393–407.
Sales, J. M., Brown, J. L., DiClemente, R. J., & Rose, E. (2012). Exploring factors associated with non-change in condom use behavior following participation in an STI/HIV prevention intervention for African–American adolescent females. AIDS Research and Treatment. Advance online publication. doi:10.1155/2012/231417
Sales, J. M., Milhausen, R. R., & DiClemente, R. J. (2006). A decade in review: Building on the experiences of past adolescent STI/HIV interventions to optimize future prevention efforts. Sexually Transmitted Infections, 82(6), 431–436.
Sheeran, P., Norman, P., & Orbell, S. (1999). Evidence that intentions based on attitudes better predict behaviour than intentions based on subjective norms. European Journal of Social Psychology, 29, 403–406.
Taylor, C. L., & Henry, J. E. (Eds.). (2010). Strategies to reduce sodium intake in the United States. Washington DC: National Academies Press.
Trafimow, D. (2008). Health behavior constructs: Theory, measurement and research: Normative beliefs. Retrieved from http://dccps.cancer.gov/brp/constructs/normative_beliefs/index.html
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–67.
Webb, T. L., & Sheeran, P. (2006). Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychological Bulletin, 132(2), 249–268.
Xiao, Z., Li, X., & Mehrotra P. (2012). HIV/sexual risk reduction interventions in China: A meta-analysis. AIDS Patient Care and STDs. Advance online publication. Retrieved from http://online.liebertpub.com/doi/pdf/10.1089/apc.2012.0151
Yzer, M. (2012). The integrative model of behavioral prediction as a tool for designing health messages. In H. Cho (Ed.) Health communication message design: Theory and practice (pp. 21–40). Los Angeles: Sage.
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Carmack, C., Lewis, R.K. & Roncancio, A. Get the Message: Targeting Beliefs to Develop Risk Reduction Intervention Messages for African American Adolescents. Am J Community Psychol 55, 396–410 (2015). https://doi.org/10.1007/s10464-015-9719-x
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DOI: https://doi.org/10.1007/s10464-015-9719-x