itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students

References

• American College Health Association. ACHA 2016 Pap and STI Survey Report; 2019. https://www.acha.org/ACHA/Resources/Pap_STI_Survey.aspx.
   Google Scholar
• Fielder RL, Walsh JL, Carey KB, Carey MP. Sexual hookups and adverse health outcomes: A longitudinal study of first-year college women. J Sex Res. 2014;51(2):131–144. doi:https://doi.org/10.1080/00224499.2013.848255.
   PubMed Web of Science ®Google Scholar
• Holland KJ, French SE. Condom negotiation strategy use and effectiveness among college students. J Sex Res. 2012;49(5):443–453. doi:https://doi.org/10.1080/00224499.2011.568128.
   PubMed Web of Science ®Google Scholar
• Buhi ER, Marhefka SL, Hoban MT. The state of the union: Sexual health disparities in a national sample of US college students. J Am Coll Health. 2010;58(4):337–346. doi:https://doi.org/10.1080/07448480903501780.
   PubMed Web of Science ®Google Scholar
• Calzo JP. Hookup sex versus romantic relationship sex in college: Why do we care and what do we do? J Adolesc Health. 2013;52(5):515–516. doi:https://doi.org/10.1016/j.jadohealth.2013.03.001.
   PubMed Web of Science ®Google Scholar
• Fielder RL, Carey MP. Prevalence and characteristics of sexual hookups among first-semester female college students. J Sex Marital Ther. 2010;36(4):346–359. doi:https://doi.org/10.1080/0092623X.2010.488118.
   PubMed Web of Science ®Google Scholar
• Fielder RL, Carey MP. Predictors and consequences of sexual “hookups” among college students: a short-term prospective study. Arch Sex Behav. 2010;39(5):1105–1119. doi:https://doi.org/10.1007/s10508-008-9448-4.
   PubMed Web of Science ®Google Scholar
• Garcia JR, Reiber C, Massey SG, Merriwether AM. Sexual hookup culture: A review. Rev Gen Psychol. 2012;16(2):161–176. doi:https://doi.org/10.1037/a0027911.
   PubMed Web of Science ®Google Scholar
• Heldman C, Wade L. Hook-up culture: Setting a new research agenda. Sex Res Soc Policy. 2010;7(4):323–333. doi:https://doi.org/10.1007/s13178-010-0024-z.
   Web of Science ®Google Scholar
• Desiderato LL, Crawford HJ. Risky sexual behavior in college students: Relationships between number of sexual partners, disclosure of previous risky behavior, and alcohol use. J Youth Adolescence. 1995;24(1):55–68. doi:https://doi.org/10.1007/BF01537560.
   Web of Science ®Google Scholar
• American College Health Association. American College Health Association-National College Health Assessment II: Reference Group Executive Summary, Spring 2011. Hanover, MD; 2011.
   Google Scholar
• England P, Shafer EF, Fogarty AC. Hooking up and forming romantic relationships on today’s college campuses. Gendered Soc Read. 2008;3:531–593.
   Google Scholar
• Olmstead SB, Pasley K, Fincham FD. Hooking up and penetrative hookups: correlates that differentiate college men. Arch Sex Behav. 2013;42(4):573–583. doi:https://doi.org/10.1007/s10508-012-9907-9.
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration. Results from the 2014 National Survey on Drug Use and Health: Detailed Tables. Rockville, MD: Center for Behavioral Health Statistics and Quality; 2015. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs2014/NSDUH-DetTabs2014.pdf.
   Google Scholar
• Randolph ME, Torres H, Gore-Felton C, Lloyd B, McGarvey EL. Alcohol use and sexual risk behavior among college students: understanding gender and ethnic differences. Am J Drug Alcohol Abuse. 2009;35(2):80–84. doi:https://doi.org/10.1080/00952990802585422.
   PubMed Web of Science ®Google Scholar
• SIUC/Core Institute. Core Alcohol and Drug Survey Long Form - Form 194: Executive Summary. Carbondale, IL; 2014. https://core.siu.edu/_common/documents/2011-2013.pdf.
   Google Scholar
• Justus AN, Finn PR, Steinmetz JE. The influence of traits of disinhibition on the association between alcohol use and risky sexual behavior. Alcohol Clin Exp Res. 2000;24(7):1028–1035. doi:https://doi.org/10.1097/00000374-200007000-00013.
   PubMed Web of Science ®Google Scholar
• Seth P, Wingood GM, DiClemente RJ, Robinson LS. Alcohol use as a marker for risky sexual behaviors and biologically confirmed sexually transmitted infections among young adult African-American women. Womens Health Issues. 2011;21(2):130–135. doi:https://doi.org/10.1016/j.whi.2010.10.005.
   PubMed Web of Science ®Google Scholar
• Lewis MA, Rees M, Logan DE, Kaysen DL, Kilmer JR. Use of drinking protective behavioral strategies in association to sex-related alcohol negative consequences: The mediating role of alcohol consumption. Psychol Addict Behav. 2010;24(2):229–238. doi:https://doi.org/10.1037/a0018361.
   PubMed Web of Science ®Google Scholar
• Norris J, Stoner SA, Hessler DM, et al. Influences of sexual sensation seeking, alcohol consumption, and sexual arousal on women's behavioral intentions related to having unprotected sex. Psychol Addict Behav. 2009;23(1):14–22. doi:https://doi.org/10.1037/a0013998.
   PubMed Web of Science ®Google Scholar
• Patel VL, Gutnik LA, Yoskowitz NA, O’sullivan LF, Kaufman DR. Patterns of reasoning and decision making about condom use by urban college students. AIDS Care. 2006;18(8):918–930. doi:https://doi.org/10.1080/09540120500333509.
   PubMed Web of Science ®Google Scholar
• Downing-Matibag TM, Geisinger B. Hooking up and sexual risk taking among college students: A health belief model perspective. Qual Health Res. 2009;19(9):1196–1209. doi:https://doi.org/10.1177/1049732309344206.
   PubMed Web of Science ®Google Scholar
• Gilchrist H, Smith K, Magee CA, Jones S. A hangover and a one-night stand: Alcohol and risky sexual behaviour among female students at an Australian university. Youth Stud Aust. 2012;31(2):35.
   Google Scholar
• Fernández-Esquer ME, Ross MW, Torres I. The importance of psychosocial factors in the prevention of HPV infection and cervical cancer. Int J STD AIDS. 2000;11(11):701–713. doi:https://doi.org/10.1258/0956462001915110.
   PubMed Web of Science ®Google Scholar
• Carey KB, Scott-Sheldon LAJ, Elliott JC, Bolles JR, Carey MP. Computer-delivered interventions to reduce college student drinking: a meta-analysis. Addict (Abingdon, England). 2009;104(11):1807–1819. doi:https://doi.org/10.1111/j.1360-0443.2009.02691.x.
   PubMed Web of Science ®Google Scholar
• Fromme K, Corbin W. Prevention of heavy drinking and associated negative consequences among mandated and voluntary college students. J Consult Clin Psychol. 2004;72(6):1038–1049. doi:https://doi.org/10.1037/0022-006X.72.6.1038.
   PubMed Web of Science ®Google Scholar
• Johnston LD, O’Malley PMB, Bachman JG, Schulenberg JE. Monitoring the Future: National Survey Results on Drug Use, 1975-2008. Bethesda, MD: National Institute on Drug Abuse; 2009.
   Google Scholar
• Noar SM. Behavioral interventions to reduce HIV-related sexual risk behavior: Review and synthesis of meta-analytic evidence. AIDS Behav. 2008;12(3):335–353. doi:https://doi.org/10.1007/s10461-007-9313-9.
   PubMed Web of Science ®Google Scholar
• Scott-Sheldon LAJ, Huedo-Medina TB, Warren MR, Johnson BT, Carey MP. Efficacy of behavioral interventions to increase condom use and reduce sexually transmitted infections: a meta-analysis, 1991 to 2010. J Acquir Immune Defic Syndr. 2011;58(5):489–498. doi:https://doi.org/10.1097/QAI.0b013e31823554d7.
   PubMed Web of Science ®Google Scholar
• Collins LM. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST). Springer International Publishing; 2018. https://www.springer.com/us/book/9783319722054. Accessed March 5, 2019.
   Google Scholar
• Kugler KC, Wyrick DL, Tanner AE, et al. Using the multiphase optimization strategy (MOST) to develop an optimized online STI preventive intervention aimed at college students: Description of conceptual model and iterative approach to optimization. In: Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics. Cham, Switzerland: Springer International Publishing AG; 2018:1–21.
   Google Scholar
• Davis KC, Norris J, Hessler DM, Zawacki T, Morrison DM, George WH. College women's sexual decision making: cognitive mediation of alcohol expectancy effects. J Am Coll Health. 2010;58(5):481–489. doi:https://doi.org/10.1080/07448481003599112.
   PubMed Web of Science ®Google Scholar
• Collins LM, Dziak JJ, Li R. Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs. Psychol Methods. 2009;14(3):202–224. doi:https://doi.org/10.1037/a0015826.
   PubMed Web of Science ®Google Scholar
• Collins LM, Dziak JJ, Kugler KC, Trail JB. Factorial experiments: Efficient tools for evaluation of intervention components. Am J Prev Med. 2014;47(4):498–504. doi:https://doi.org/10.1016/j.amepre.2014.06.021.
   PubMed Web of Science ®Google Scholar
• Massengale KEC, Ma A, Rulison K, Milroy J, Wyrick DL. Perceived norms and alcohol use among first-year college student-athletes' different types of friends. J Am Coll Health. 2017;65(1):32–40. doi:https://doi.org/10.1080/07448481.2016.1233557.
   PubMed Web of Science ®Google Scholar
• Wyrick DL, Milroy JJ, Reifsteck EJ, Fearnow-Kenney M, Dudley WN. Investigating risk factors predictive of problem outcomes experienced by first year drinking and non-drinking collegiate student-athletes. J Alcohol Drug Educ. 2016;60(3):22–41.
   Google Scholar
• Fearnow-Kenney M, Wyrick DL, Milroy JJ, Reifsteck E, Kelly SE, Day TF. The effect of a web-based alcohol prevention program on social norms, expectancies, and intentions to prevent harm among college student-athletes. Sport Psychol. 2016;30(2):113–122. doi:https://doi.org/10.1123/tsp.2015-0016.
   Web of Science ®Google Scholar
• Wu CFJ, Hamada MS. Experiments: Planning, Analysis, and Optimization. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc; 2009.
   Google Scholar
• Ham LS, Stewart SH, Norton PJ, Hope DA. Psychometric assessment of the comprehensive effects of alcohol questionnaire: comparing a brief version to the original full scale. J Psychopathol Behav Assess. 2005;27(3):141–158. doi:https://doi.org/10.1007/s10862-005-0631-9.
   Web of Science ®Google Scholar
• Treloar H, Martens MP, McCarthy DM. The protective behavioral strategies scale-20: Improved content validity of the serious harm reduction subscale. Psychol Assess. 2015;27(1):340–346. doi:https://doi.org/10.1037/pas0000071.
   PubMed Web of Science ®Google Scholar
• Lewis MA, Patrick ME, Litt DM, Atkins DC, et al. Randomized controlled trial of a web-delivered personalized normative feedback intervention to reduce alcohol-related risky sexual behavior among college students. J Consult Clin Psychol. 2014;82(3):429. doi:https://doi.org/10.1037/a0035550.
   PubMed Web of Science ®Google Scholar
• Prince MA, Carey KB. The malleability of injunctive norms among college students. Addict Behav. 2010;35(11):940–947. doi:https://doi.org/10.1016/j.addbeh.2010.06.006
   PubMed Web of Science ®Google Scholar
• LaBrie JW, Hummer JF, Neighbors C, Pedersen ER. Live interactive group-specific normative feedback reduces misperceptions and drinking in college students: A randomized cluster trial. Psychol Addict Behav. 2008;22(1):141–148. doi:https://doi.org/10.1037/0893-164X.22.1.141.
   PubMed Web of Science ®Google Scholar
• Miller DT, Prentice DA. Changing norms to change behavior. Annu Rev Psychol. 2016;67(1):339–361. doi:https://doi.org/10.1146/annurev-psych-010814-015013.
   PubMed Web of Science ®Google Scholar
• Neighbors C, Larimer ME, Lewis MA. Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention. J Consult Clin Psychol. 2004;72(3):434–447. doi:https://doi.org/10.1037/0022-006X.72.3.434.
   PubMed Web of Science ®Google Scholar
• Collins LM, Baker TB, Mermelstein RJ, et al. The multiphase optimization strategy for engineering effective tobacco use interventions. Ann Behav Med. 2011;41(2):208–226. doi:https://doi.org/10.1007/s12160-010-9253-x.
   PubMed Web of Science ®Google Scholar
• Pellegrini CA, Hoffman SA, Collins LM, Spring B. Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol. Contemp Clin Trials. 2014;38(2):251–259. doi:https://doi.org/10.1016/j.cct.2014.05.007.
   PubMed Web of Science ®Google Scholar
• Bailey JV, Murray E, Rait G, et al. Computer-based interventions for sexual health promotion: systematic review and meta-analyses. Int J STD AIDS. 2012;23(6):408–413. doi:https://doi.org/10.1258/ijsa.2011.011221.
   PubMed Web of Science ®Google Scholar
• Doumas DM, Andersen LL. Reducing alcohol use in first-year university students: Evaluation of a web-based personalized feedback program. J Coll Couns. 2009;12(1):18–32. doi:https://doi.org/10.1002/j.2161-1882.2009.tb00037.x.
   Google Scholar
• Noar SM, Black HG, Pierce LB. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS London, England. 2009;23(1):107–115. doi:https://doi.org/10.1097/QAD.0b013e32831c5500.
   PubMed Web of Science ®Google Scholar
• Neighbors C, O’Connor RM, Lewis MA, Chawla N, Lee CM, Fossos N. The relative impact of injunctive norms on college student drinking: The role of reference group. Psychol Addict Behav. 2008;22(4):576–581. doi:https://doi.org/10.1037/a0013043
   PubMed Web of Science ®Google Scholar