Actual versus perceived peer sexual risk behavior in online youth social networks

Translational Behavioral Medicine

Volumn 3, Issue 3, 2013, Pages 312-319

  Black, Sandra R ^a   Schmiege, Sarah ^a   Bull, Sheana ^a  

^a Food Science and Human Nutrition   (United States)

Author keywords

Adolescents; Behavioral norms; Normative influence; Online social networks; Sexual risk behavior

Indexed keywords

ARTICLE; CONDOM USE; DRINKING BEHAVIOR; HEALTH EDUCATION; HEALTH PROMOTION; HUMAN; INFORMED CONSENT; INTERNET; ONLINE SYSTEM; PEER GROUP; PEER PRESSURE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); SEXUAL BEHAVIOR; SEXUAL HEALTH; SEXUALITY; SOCIAL MEDIA; SOCIAL NETWORK;

EID: 84884128370     PISSN: 18696716     EISSN: 16139860     Source Type: Journal    
DOI: 10.1007/s13142-013-0227-y     Document Type: Article

References (23)

1. Centers for Disease Control and Prevention, Surveillance STD. Department of Health and Human Services. Atlanta, GA: Centers for Disease Control and Prevention; 2010: 2011.
2. Moreira MT, Smith L, Foxcroft D. Social norms interventions to reduce alcohol misuse in university or college students. Cochrane Database of Systematic Reviews. 2010; 8, CD006748. doi: 10. 1002/14651858. CD006748. pub2.
3. Berkowitz AD. An overview of the social norms approach. 1st ed. Creskill, NJ: Hampton Press; 2005.
4. O'Grady MA, Wilson K, Harman JJ. Preliminary findings from a brief, peer-led safer sex intervention for college students living in residence halls. Journal of Primary Prevention. 2009; 30: 716-731.
5. Azjen I. From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckman J, eds. Action-Control: From cognition to Behavior. Heidelberg: Springer; 1985: 11-39.
6. Albarracin D, Gillette JC, Earl AN, Glasman LR, Durantini MR, Ho MH. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychological Bulletin. 2005; 131: 856-897.
7. Sutton S, McVey D, Glanz A. A comparative test of the theory of reasoned action and the theory of planned behavior in the prediction of condom use intentions in a national sample of English young people. Health Psychology. 1999; 18: 72-81.
8. Villarruel AM, Jemmott JB, Jemmott LS, Ronis DL. Predictors of sexual intercourse and condom use intentions among Spanish-dominant Latino youth: a test of the planned behavior theory. Nursing Research. 2004; 53: 172-181.
9. Christakis N, Fowler J. Change to obesity: the spread of obesity in a large social network over 32 years. The New England Journal of Medicine. 2007; 357: 370-379.
10. Christakis N, Fowler J. The collective dynamics of smoking in a large social network. The New England Journal of Medicine. 2008; 358: 2249-2258.
11. Valente TW, Hoffman BR, Ritt-Olson A, Lichtman K, Johnson CA. Effects of a social-network method for group assignment strategies on peer-led tobacco prevention programs in schools. American Journal of Public Health. 2003; 93(11): 1837-1843.
12. Latkin C, Sherman S, Knowlton A. HIV prevention among drug users: outcome of a network-oriented peer outreach intervention. Health Psychology. 2003; 22: 332-339.
13. Knowlton AR, Hua W, Latkin C. Social support networks and medical service use among HIV-positive injection drug users: implications to intervention. AIDS Care. 2005; 17: 479-492.
14. Moreno MA, Swanson MJ, Royer H, Roberts LJ. Sexpectations: male college students' views about displayed sexual references on females' social networking web sites. Journal of Pediatric and Adolescent Gynecology. 2011; 24: 85-89.
15. Rainie L. The social media landscape. PEW internet and American life 2011. http://www. pewinternet. org/Presentations/2011/Sept/Social-Media-Landscape. aspx. Accessed October 11, 2011.
16. Noar S, Black H, Pierce L. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009; 23: 107-115.
17. Noar SM, Pierce L, Black H. Can computer mediated interventions change theoretical mediators of safer sex? A meta-Analysis. Human Communication Research. 2010; 36: 261-297.
18. Bull S, Levine D, Black S, Schmiege S, Santelli J. Social media-delivered sexual health intervention: a cluster-randomized controlled trial. American Journal of Preventive Medicine. 2012; 43: 467-474.
19. Heckathorne D. Respondent-driven sampling: a new approach to the study of hidden populations. Social Problems. 1997; 44: 174-199.
20. Centers for Disease Control. HIV prevalence estimates-United States 2006. MMWR. 2008; 51: 1073-1076.
21. Pratte K, Whitesell N, McFarlane M, Bull S. Factor analyses of condom attitudes, norms and self-efficacy measures in diverse samples. Journal of Nursing Measurement. 2010; 18: 153-175.
22. Levine D, Madsen A, Wright EC, Barar R, Santelli J, Bull S. Formative research on MySpace: online methods to engage hard-to-reach populations. Journal of Health Communication. 2011; 16: 448-454.
23. Bull SS, Breslin LT, Wright EE, Black SR, Levine D. Case study: an ethics case study of HIV prevention research on Facebook: the just/us study. Journal of Pediatric Psychology. 2011; 36(10): 1082-1092.