Youth health outcomes from the Connect-to-Protect coalitions to prevent adolescent HIV infections

References

• Allison, P. D. (2012). Logistic regression using SAS: Theory and application (2nd ed.). Cary, NC: SAS Institute.
   Google Scholar
• Anderson, L. M., Adeney, K. L., Shinn, C., Safranek, S., Buckner‐Brown, J., & Krause, L. K. (2015). Community coalition-driven interventions to reduce health disparities among racial and ethnic minority populations. Cochrane Database of Systematic Reviews, (6). Article No. CD009905.
   Web of Science ®Google Scholar
• Arnold, E. A., Rebchook, G. M., & Kegeles, S. M. (2014). ‘Triply cursed’: Racism, homophobia, and HIV-related stigma are barriers to regular HIV testing, treatment adherence and disclosure among young Black gay men. Culture, Health, and Sexuality, 16, 710–722.
   PubMed Web of Science ®Google Scholar
• Barker, D. H., Swenson, R. R., Brown, L. K., Stanton, B. F., Vanable, P. A., Carey, M. P., … Romer, D. (2012). Blocking the benefit of group-based HIV-prevention efforts during adolescence: The problem of HIV-related stigma. AIDS and Behavior, 16(3), 571–577. doi:10.1007/s10461-011-0101-1
   PubMed Web of Science ®Google Scholar
• Bernard, P., Cherafeddine, R., Frohlich, K. L., Daniel, M., Kestens, Y., & Potvin, L. (2007). Health inequalities and place: A theoretical conception of neighbourhood. Social Science and Medicine, 65, 1839–1852. doi:10.1016/j.socscimed.2007.05.037
   PubMed Web of Science ®Google Scholar
• Blankenship, K. S., Bray, S. J., & Merson, M. H. (2000). Structural interventions in public health. Aids, 14, S11–S21. doi:10.1097/00002030-200006001-00003
   PubMed Web of Science ®Google Scholar
• Breet, E., Kagee, A., & Seedat, S. (2014). HIV-related stigma and symptoms of post-traumatic stress disorder and depression in HIV-infected individuals: Does social support play a meditating or moderating role? AIDS Care, 26, 947–951. doi:10.1080/09540121.2014.901486
   PubMed Web of Science ®Google Scholar
• Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford: New York.
   Google Scholar
• Buseh, A. G., Kelber, S. T., Hewitt, J. B., Stevens, P. E., & Park, C. G. (2006). Perceived stigma and life satisfaction experiences of urban African American men living with HIV/AIDS. International Journal of Men’s Health, 5, 35–51. doi:10.3149/jmh.0501.35
   Google Scholar
• Butterfoss, F. D., & Kegler, M. C. (2009). The community coalition action theory. In R. J. DiClemente, R. Crosby, & M. C. Kegler (Eds.), Emerging theories in health promotion practice and research: Strategies for improving public health, 2nd Edition (pp. 237–276). San Francisco: Jossey-Bass.
   Google Scholar
• Center for Disease Control and Prevention. HIV among youth. Accessed October 5, 2016. Available at http://www.cdc.gov/hiv/group/age/youth/index.html.
   Google Scholar
• Chutuape, K. S., Willard, N., Walker, B. C., Boyer, C. B., & Ellen, J.; the Adolescent Medicine Trials Network for HIV/AIDS Interventions. (2015). A tailored approach to launch community coalitions focused on achieving structural changes: Lessons learned form a HIV prevention mobilization study. Journal of Public Health Management Practice, 21, 546–555. doi:10.1097/PHH.0000000000000182
   PubMed Web of Science ®Google Scholar
• Chutuape, K. S., Ziff, M., Auerswald, C., Castillo, M., McFadden, A., & Ellen, J. (2009). Examining differences in types and location of recruitment venues for young males and females from urban neighborhoods: Findings from a multi-site HIV prevention study. Journal of Urban Health, 86, 31–42. doi:10.1007/s11524-008-9329-0
   PubMed Web of Science ®Google Scholar
• Clark, N. M., Lachance, L. L., Benedict, M. B., Doctor, L. J., Gilmore, L., Kelly, C. S., & Wilkin, M. (2013). Improvements in health care use associated with community coalitions: Long-term results of the Allies Against Asthma Initiative. American Journal of Public Health, 103, 1124–1127. doi:10.2105/AJPH.2012.300983
   PubMed Web of Science ®Google Scholar
• Cornish, F., Priego-Hernandez, J., Campbell, C., Mburu, G., & McLean, S. (2014). The impact of community mobilization on HIV prevention in middle and low income countries: A systematic review and critique. AIDS and Behavior, 18, 2110–2134. doi:10.1007/s10461-014-0748-5
   PubMed Web of Science ®Google Scholar
• Cunningham, S. D., Kerrigan, D. L., Jennings, J. M., & Ellen, J. M. (2009). Relationships between perceived STD-related stigma, STD-related shame, and STD screening among a household sample of adolescents. Perspectives on Sexual and Reproductive Health, 41, 225–230. doi:10.1363/4122509
   PubMed Web of Science ®Google Scholar
• Cunningham, S. D., Tschann, J., Gurvey, J. E., Fortenberry, J. D., & Ellen, J. M. (2002). Attitudes about sexual disclosure and perceptions of stigma and shame. Sexually Transmitted Infections, 78, 334–338. doi:10.1136/sti.78.5.334
   PubMed Web of Science ®Google Scholar
• Davidson, R., & MacKinnon, J. G. (2007). Bootstrap tests: How many bootstraps? Econometric Review, 19, 55–68. doi:10.1080/07474930008800459
   Google Scholar
• Ellen, J. M, Adler, N, Gurvey, JE, Millstein, SG, & Tschann, J. (2002). Adolescent condom use and perceptions of risk for sexually transmitted diseases: a prospective study. Sexually Transmitted Diseases, 29, 756-762. doi:10.1097/00007435-200212000-00004
   PubMed Web of Science ®Google Scholar
• Fortenberry, J. D., McFarlane, M., Bleakley, A., Bull, S., Fishbein, M., Grimley, D. M., & Stoner, B. P. (2002). Relationships of stigma and shame to gonorrhea and HIV screening. American Journal of Public Health, 92, 378–381. doi:10.2105/AJPH.92.3.378
   PubMed Web of Science ®Google Scholar
• Golden, S. D., McLeroy, K. R., Green, L. W., Earp, J. L., & Lieberman, L. D. (2015). Upending the social ecological model to guide health promotion efforts toward policy and environmental change. Heath Education and Behavior, 42, S8–S14. doi:10.1177/1090198115575098
   PubMed Web of Science ®Google Scholar
• Gupta, G. R., Parkhurst, J. O., Ogden, J. A., Aggleton, P., & Mahal, A. (2008). Structural approaches to HIV prevention. Lancet, 372(9640), 764–775. doi:10.1016/S0140-6736(08)60887-9
   PubMed Web of Science ®Google Scholar
• Hall, H. I., Frazier, E. L., Rhodes, P., Holtgrave, D. R., Furlow-Parmley, C., Tang, T., … Skarbinski, J. (2013). Differences in human immunodeficiency virus care and treatment among subpopulations in the United States. JAMA Internal Medicine, 173, 1337–1344. doi:10.1001/jamainternmed.2013.6841
   PubMed Web of Science ®Google Scholar
• Hox, J. J., & Maas, C. J. M. (2002). Sample sizes for multilevel modeling. In J. Blasius, J. J. Hox, E. De Leeuw, & P. Schmidt (Eds.), Social science methodology in the new millennium: Proceedings of the Fifth International Conference on Logic and Methodology (2nd ed.). Opladen, Germany: Leske + Budrich.
   Google Scholar
• Hoyle, R. H., & Gottfredson, N. C. (2014). Sample size considerations in prevention research applications and structural equation modeling. Prevention Science, 16, 986–997.
   Web of Science ®Google Scholar
• Iacobucci, D., Saldhana, N., & Deng, X. (2007). A meditation on mediation: Evidence that structural equations models perform better than regressions. Journal of Consumer Psychology, 12, 139–153. doi:10.1016/S1057-7408(07)70020-7
   Web of Science ®Google Scholar
• Johnson, A. S., Hall, I., Hu, X., Lansky, A., Holtgrave, D. R., & Mermin, J. (2014). Trends in diagnoses of HIV infection in the United States, 2002–2011. Journal of the American Medical Association, 312, 432–434. doi:10.1001/jama.2014.8534
   Web of Science ®Google Scholar
• Kegler, M. C., & Swan, D. W. (2011). An initial attempt at operationalizing and testing the community coalition action theory. Health Education & Behavior, 38(3), 261–270. doi:10.1177/1090198110372875
   PubMed Web of Science ®Google Scholar
• Kinsler, J. J., Wong, M. D., Sayles, J. N., Davis, C., & Cunningham, W. E. (2007). The effect of perceived stigma from a health care provider on access to care among a low-income HIV-positive population. AIDS Patient Care and STDs, 21, 584–592. doi:10.1089/apc.2006.0202
   PubMed Web of Science ®Google Scholar
• Lieberman, L. D., & Earp, J. L. (2015). Reflections on structural change: Where do we go from here? Health Education and Behavior, 42, S141–S142. doi:10.1177/1090198115575099
   Web of Science ®Google Scholar
• Lightfoot, M. (2012). HIV prevention for adolescents: Where do we go from here? American Psychologist, 67, 661–671. doi:10.1037/a0029831
   PubMed Web of Science ®Google Scholar
• Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (second ed.). Hoboken: Wiley.
   Google Scholar
• McKnight, P. E., McKnight, K., Sidani, S., & Figueredo, A. J. (2007). Missing data: A gentle introduction. New York: Guilford.
   Google Scholar
• Muhib, F., Lin, L., Steuve, A., Miller, R. L., Ford, W., Johnson, W., & Smith, P. (2001). A venue-based method for sampling hard to reach populations. Public Health Reports, 116 (Suppl. 2), 216–222. doi:10.1093/phr/116.S1.216
   PubMed Web of Science ®Google Scholar
• Muthén, B. O., Muthén, L. K., & Asparouhov, T. (2016). Regression and Mediation Analysis using Mplus. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• O’Dwyer, L. M., & Parker, C. E. (2014). A primer for analyzing nested data: Multilevel modeling in SPSS using an example from a REL study (REL 2015–046). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Northeast & Islands. August 2, 2017. Retrieved from http://ies.ed.gov/ncee/edlabs
   Google Scholar
• Paine-Andrews, A., Harris, K. J., Fisher, J. L., Lewis, R. K., Williams, E. L., Fawcett, S. B., & Vincent, M. L. (1999). Effects of a replication of a multicomponent model for preventing adolescent pregnancy in three Kansas communities. Family Planning Perspectives, 31, 182–189. doi:10.2307/2991591
   PubMedGoogle Scholar
• Parkhurst, J. O. (2014). Structural approaches for prevention of sexually transmitted HIV infection in general populations: Definitions and an operational approach. Journal of the International AIDS Society, 17, 19052. doi:10.7448/IAS.17.1.19052
   PubMed Web of Science ®Google Scholar
• Phillips, G., Ybarra, M. L., Prescott, T. L., Parsons, J. T., & Mustanski, B. (2015). Low rates of Human Immunodeficiency Virus Testing among adolescent gay, bisexual, and queer men. Journal of Adolescent Health, 57, 407–412. doi:10.1016/j.jadohealth.2015.06.014
   PubMed Web of Science ®Google Scholar
• Prado, G., Lightfoot, M., & Brown, C. J. (2013). Macro-level approaches to HIV prevention among ethnic minority youth. American Psychologist, 68, 286–299. doi:10.1037/a0032917
   PubMed Web of Science ®Google Scholar
• Radcliffe, J., Doty, N., Hawkins, L. A., Gaskins, C. S., Beidas, R., & Rudy, B. J. (2010). Stigma and sexual health risk in HIV-positive African American young men who have sex with men. AIDS Patient Care and STDs, 24, 493–498. doi:10.1089/apc.2010.0020
   PubMed Web of Science ®Google Scholar
• Sainani, K. (2013). Dealing with non-normal data. Pm&R, 4, 1001–1005. doi:10.1016/j.pmrj.2012.10.013
   Web of Science ®Google Scholar
• Sallis, J. F., & Green, L. W. (2012). Active Living by Design and itsevaluation: Contributions to science. American Journal of Preventive Medicine, 43, S410–S412. doi:10.1016/j.amepre.2012.07.014
   PubMed Web of Science ®Google Scholar
• Schafer, J. L. (1997). Analysis of incomplete multivariate data. Boca Raton: Chapman Hall.
   Google Scholar
• Schriner, K. F., & Fawcett, S. B. (1988). Development and validation of a community concerns report method. Journal of Community Psychology, 16, 306–316. 10.1002/1520-6629(198807)16:3<306::AID-JCOP2290160306>3.0.CO;2-5
   Google Scholar
• Smith, D. (1998). The HIV Epidemiology Research Study, HIV Out-patient Study, and the Spectrum of Diseases Study. Journal of Acquired Immune Deficiency Syndrome and Human Retroviruses, 17, S17–S19. doi:10.1097/00042560-199801001-00006
   Web of Science ®Google Scholar
• Straub, D. M., Deeds, B. G., Willard, N., Castor, J., Peralta, L., & Francisco, V. T.; Adolescent Trials Network for HIV/AIDS Interventions. (2007). Partnership selection and formation: A case study of developing adolescent health community-researcher partnerships in fifteen US communities. Journal of Adolescent Health, 40(6), 489–498. doi:10.1016/j.jadohealth.2006.11.136
   PubMed Web of Science ®Google Scholar
• Suarez-Balcazar, Y., Bradford, B., & Fawcett, S. B. (1988). Common concerns of disabled Americans: Issues and options. Social Policy, 19, 29–35.
   PubMedGoogle Scholar
• Sumartojo, E. (2000). Structural factors in HIV prevention: Concepts, examples, and implications for research. Aids, 14, S3–S10. doi:10.1097/00002030-200006001-00002
   PubMed Web of Science ®Google Scholar
• Willard, N., Chutuape, K. S., Stines, S., & Ellen, J. M. (2012). Bridging the gap between individual level risk for HIV and structural determinants: Using root cause analysis in strategic planning. Journal of Prevention and Intervention in the Community, 40, 103–117. doi:10.1080/10852352.2012.660122
   PubMedGoogle Scholar
• World Health Organization. (2016). Data and statistics. Available at http://www.who.int/hiv/en/. Accessed September 8, 2016.
   Google Scholar
• Ziff, M. A., Harper, G. W., Chutuape, K. S., Deeds, B. G., Futterman, D., & Francisco, V. T.; Adolescent Medicine Trials Network for HIV/AIDS Intervention. (2006). Laying the foundation for Connect to Protect®: A multi-site community mobilization intervention to reduce HIV/AIDS incidence and prevalence among urban youth. Journal of Urban Health, 83(3), 506–522. doi:10.1007/s11524-006-9036-7
   PubMed Web of Science ®Google Scholar