[Skip to Navigation]
Sign In
January 5, 2009

Display of Health Risk Behaviors on MySpace by Adolescents: Prevalence and Associations

Author Affiliations

Author Affiliations: Departments of Pediatrics (Drs Moreno, Zimmerman, and Christakis), Communication (Dr Parks), and Health Services (Drs Zimmerman and Christakis), Section of Adolescent Medicine (Dr Moreno), and Child Health Institute (Drs Moreno, Zimmerman, and Christakis), University of Washington, Seattle, Washington (Dr Moreno), and Seattle Children's Hospital Research Institute (Drs Moreno, Zimmerman, and Christakis), Seattle; and University of Notre Dame, Notre Dame, Indiana (Ms Brito).

Arch Pediatr Adolesc Med. 2009;163(1):27-34. doi:10.1001/archpediatrics.2008.528

Objective  To determine the prevalence of and associations among displayed risk behavior information that suggests sexual behavior, substance use, and violence in a random sample of the self-reported 18-year-old adolescents' publicly accessible MySpace Web profiles.

Design  Cross-sectional study using content analysis of Web profiles between July 15 and September 30, 2007.

Setting  www.MySpace.com.

Participants  A total of 500 publicly available Web profiles of self-reported 18-year-olds in the United States.

Main Outcome Measures  Prevalence and associations among displayed health risk behaviors, including sexual behavior, substance use, or violence, on Web profiles.

Results  A total of 270 (54.0%) profiles contained risk behavior information: 120 (24.0%) referenced sexual behaviors, 205 (41.0%) referenced substance use, and 72 (14.4)% referenced violence. Female adolescents were less likely to display violence references (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.15-0.6). Reporting a sexual orientation other than “straight” was associated with increased display of references to sexual behavior (OR, 4.48; 95% CI, 1.27-15.98). Displaying church or religious involvement was associated with decreased display of all outcomes (sex: OR, 0.32; 95% CI, 0.12-0.86; substance use: OR, 0.38; 95% CI, 0.19-0.79; violence: OR, 0.12; 95% CI, 0.02-0.87; any risk factor: OR, 0.36; 95% CI, 0.19-0.7). Displaying sport or hobby involvement was associated with decreased references to violence (OR, 0.27; 95% CI, 0.09-0.79) and any risk factor (OR, 0.46; 95% CI, 0.27-0.79).

Conclusions  Adolescents frequently display risk behavior information on public Web sites. Further study is warranted to explore the validity of such information and the potential for using social networking Web sites for health promotion.

Prior studies1-5 of adolescent risk behaviors have used samples derived from schools, communities, and clinics. Today, online communities play an increasing role in the lives of adolescents. Adolescents are avid Internet users; more than 90% report having access and most report daily use.6,7 Of these Internet-using adolescents, approximately half use online social networking Web sites (SNSs), such as MySpace (www.MySpace.com) and Facebook (www.Facebook.com).8 MySpace, the most popular SNS, boasts more than 200 million profiles, of which 25% belong to people younger than 18 years.9,10

Social networking Web sites allow users to create a personal Web profile that may contain audio, images (eg, pictures and video), and text (eg, blogs and personal descriptions). In addition, SNSs enable users to designate one another as “friends” and to communicate online. Therefore, SNSs provide adolescents with a venue for both identity exploration and peer interaction. For adolescents who feel isolated, such as those with interests outside the mainstream culture, SNSs may provide a social outlet that is otherwise unavailable.

Despite these potential benefits, risks may be associated with adolescents' profile content. Health risk behavior information on a personal Web profile, such as information about sexual activity or substance use, is displayed in a globally public venue. Anecdotal reports and small studies11,12 suggest that some adolescents display risky material on SNSs, but to our knowledge no large-scale systematic studies that evaluate adolescents' display of health risk behaviors and associations among the display of risk behaviors on SNSs are available.

The veracity of displayed risk behavior information on SNSs is unknown; however, prior studies13-16 have shown that computer use encourages high levels of self-disclosure and uninhibited personal expression, which supports the validity of Internet self-report. The Media Practice Model identifies key factors in adolescents' use of media and argues that adolescents select and interact with media based on who they are—or who they want to be—at the moment. This model supports that disclosures made on SNSs may reflect actual behaviors or behavioral intent.17 However, regardless of the veracity of displayed information, other users may respond to an adolescent's disclosures as if they were truthful, and this in turn may influence the adolescent's intentions, self-image, and behaviors. Displaying risk behavior information has been shown to increase the likelihood of unwanted online attention from individuals such as cyberbullies or sexual predators.18-22 Given the popularity of SNSs, these Web sites may also function as a “media superpeer” by promoting and establishing norms of behavior among other adolescents.23 For example, sexual references on SNSs may create the illusion that sex is glamorous or risk free and may promote sexual initiation—a process known as media cultivation.24 Furthermore, social learning theory predicts that teens who see characters displaying references to behaviors such as risky sexual practices without experiencing negative consequences will be more likely to adopt the behaviors portrayed.25,26

Many of the most important causes of morbidity and mortality in adolescence are associated with health risk behaviors, such as sexual behavior, substance use, and violence.2,3,27-32 Protective factors, such as involvement in a religious organization and participation in a sport or hobby, have been shown to reduce these adolescent health risk behaviors.33-45 The identification of factors that influence adolescents' engagement in risk behaviors remains a challenge. Investigation of risk behavior displays on SNSs may provide a new source of information about the ways adolescents view and make decisions about health risk behaviors.

The purpose of this study is to determine the prevalence and associations among displayed information that suggests sexual behavior, substance use, and violence on a random sample of the self-reported 18-year-old adolescents' publicly accessible MySpace Web profiles. Through this study we hope to introduce health care providers to SNSs; to describe the prevalence of demographic, risk, and protective factors featured on SNSs; and to explore associations among typical MySpace disclosures with the display of risk behavior information.


Study setting

This observational study applied content analysis to publicly available MySpace Web profiles between July 15 and September 30, 2007. Because this study involved observation of publicly available information, it received an institutional review board exemption from the University of Washington. This study was conducted using the Web site www.MySpace.com, on which all Web profiles are openly available. MySpace Web profiles may be public, meaning that full or most content is viewable to any Web site visitor, or private, meaning that limited information is available without the profile owner's permission.

Study participants

Inclusion criteria for this study included having a publicly available personal Web profile on MySpace and reporting one's age on that profile as 18 years. At the time a profile is created, the profile owner is required to enter a date of birth; the profile owner's calculated age in years is then displayed among the profile's demographic information. To ensure that the profile owner still actively maintained the Web profile, we only included Web profiles in which the owner had logged in to the profile within the last 30 days. Finally, we only included profiles in which the owner reported US residence.

Search strategy

MySpace features a “browse” function to seek Web profiles that meet particular criteria. Each individual search provides a maximum of 3000 “thumbnail” links to Web profiles. Search criteria can include particular age ranges, ethnicities, or home locations. Setting the search criteria for 18-year-olds yields a roster of 3000 Web profiles in nonalphabetical, nonnumerical order. The order in which search results are listed is in one of several formats provided by MySpace: newest profiles, recently updated profiles, most recent log-in to profile, or distance from a given zip code. We opted to have results listed in order of most recent log-in to Web profile to focus our search on actively used profiles. Given the huge population on MySpace that may be logging in at any time, the reporting of search results by most recent log-in is highly dynamic; to conduct a second identical search minutes after the first one could yield 3000 different Web profile links. To focus on profiles with the most recent log-in date, we selected the first 1500 from the 3000 profile search results and recorded URL numbers that linked to each individual's profile. From these, we randomly selected 750 profiles. On reaching our goal of 500 evaluated profiles that met inclusion criteria, data collection was considered complete.

Data collection

Each Web profile was viewed once. From each Web profile that met inclusion criteria, we recorded personal demographic data: age, sex, date of last log-in to profile, and home state. These variables are standard inclusions on every MySpace profile. We collected data on the following variables that are typically available on MySpace profiles but displayed at the profile owner's discretion: ethnicity, relationship status, sexual orientation, whether profile owner is a parent or expecting a child, and whether the Web profile owner “smokes” or “drinks.” These variables were chosen because of their common availability on MySpace and our hypothesis that they may have associations with health risk behavior display. We then evaluated each profile for evidence of references to sexual behavior, substance use, violence, significant church or religious involvement, or significant sports or hobby involvement using criteria described in Table 1. We also recorded the number of comments posted to the profile by other MySpace members, time since last comment posted to the profile, and an adjusted count of number of friends posted on the profile—all standard information on MySpace profiles. Last, we evaluated each profile for overt evidence that the profile owner was an age other than 18 years. Table 1 summarizes all variables.

Table 1. 
Variable Descriptions
Variable Descriptions

The research staff reviewed all publicly viewable elements of the MySpace profile. No attempts were made to contact individuals, read personal e-mails, or obtain access to information set as private.

Two of us conducted content analyses (M.A.M. and T.E.B.). We developed a codebook based on images and keywords determined in our previous data collection.12 During the initial coding by one author (T.E.B.), the other author (M.A.M.) recoded a 20% random profile sample to assess interrater reliability. Because profile content is dynamic and we did not archive profiles, dual-coded profiles were completed within a several-hour time frame. Unclear references during initial coding and disagreement cases were discussed by both coders to reach consensus. The Cohen's κ statistic was used to evaluate the extent to which there was agreement in the coding of the Web profiles. The range of κ values for the variables of interest in this study was as follows: references to sex, 0.74; references to substance use, 0.84; references to violence, 0.78; references to church or religious involvement, 0.72; and references to sport or hobby involvement, 0.67.

References that included slang words were investigated using the Web site www.urbandictionary.com. To our knowledge, this is the most up-to-date reference of slang designed and used by adolescents.

Statistical analysis

All statistical analyses were conducted using a commercially available software program (Stata, version 9.0; Statacorp LP, College Station, Texas). Our target sample size of 500 profiles was determined by our previous findings regarding proportion of profiles that displayed risk behaviors12 and planned analyses for this study. We used logistic regression to model associations of our 3 outcomes of interest: display of sexual references, display of substance use, and display of violence. A fourth outcome variable, display of any risk behavior information, was created to represent Web profiles in which the individuals had displayed references to any of the 3 risk behaviors. The following variables were included in these multivariable models: sex, relationship status, sexual orientation, being a parent or expecting a child, church or religious involvement, and sport or hobby involvement. These variables were selected based on their common availability on MySpace profiles, as well as our a priori hypothesis that they could be associated with the display of risk behaviors. We hypothesized that variables that may significantly affect a person's identity (ie, sex, sexual orientation, church or religious involvement, or sport or hobby involvement) or variables that affected who individuals thought might view their Web site (eg, single people may modify their profile to attract potential partners) could be associated with the display of risk behaviors.

To adjust for the possibility that more actively used profiles (more online friends, more comments, and more frequent log-ins) would have greater opportunity (and therefore greater likelihood) of displaying risk behavior references, we adjusted our analyses for time since last log-in, number of friends, number of comments, and time since last comment. Finally, we also adjusted for self-reported race/ethnicity, including a dummy variable for people who left the answer space blank.

Two of the variables, relationship status and sexual orientation, contained categories determined by MySpace. The relationship status variable included the following categories: single, in a relationship, married, divorced, and swinger. Because we had no theoretical basis for maintaining all categories, we collapsed the relationship status variable into 2 commonly used categories: in a relationship and single. The sexual orientation variable included the following categories: straight, gay, bisexual, and other. We collapsed these categories into 2 commonly used categories: straight and other. Sexual orientation data were missing for 7.4% of study participants, so we created a separate category for missing variables.


Sample population

A total of 696 profiles were analyzed to obtain our target sample of 500 profiles. A total of 71.8% of evaluated profiles met inclusion criteria. Of the excluded profiles, 159 of 196 were excluded because of reporting an age other than 18 years on their Web profile demographic information. It is unclear why the MySpace search engine included these profiles in the search results. Profiles were also excluded because of unclear demographic information (2.5%) or private profile security setting (16.4%) (Figure). Overall, 93% of eligible profiles were included in our sample.

Flowchart of selection of study participants as described in the “Search Strategy” subsection of the “Methods” section.

Flowchart of selection of study participants as described in the “Search Strategy” subsection of the “Methods” section.

Descriptive statistical analyses

A total of 500 Web profiles met inclusion criteria and were included in all analyses. Our sample included slightly more males than (self-reported) female adolescents. Approximately 75% of study participants reported their ethnicity on their profile: 42.4% were white/Caucasian, 12.0% were Latin/Hispanic, 9.0% were black/African, 4.6% were Asian/Pacific Islander, 4.2% were other, and 1.4% were Native American (Table 2). Most study participants reported their home state within the United States (97.4%); most states in the United States (46/50) were included in this random sample. Most study participants (98.8%) reported their relationship status and most were single. A total of 92.6% of study participants reported their sexual orientation on their Web profile, and most reported that they were straight. A total of 98.6% of study participants reported their parenting status; of these, 6.4% were parents and 3.4% described themselves as pregnant or expecting a child. A total of 10.6% of Web profiles met our criteria for having significant church or religious involvement, and 16.4% met criteria for significant sport or hobby involvement. These data are summarized in Table 2.

Table 2. 
Characteristics of the Study Participants
Characteristics of the Study Participants


Approximately half (54%) of the 500 Web profiles in our sample referenced 1 or more health risk behaviors such as sexual activity, substance use, or violence. The most frequently referenced risk behavior was substance use (41%), followed by sexual activity (24%), then violence (14%). Table 3 summarizes these data.

Table 3. 
Proportion of Profiles With Reference to Health Risk Behaviors
Proportion of Profiles With Reference to Health Risk Behaviors

Multivariable analyses revealed that female adolescents were less likely than male adolescents to display references to violence (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.15-0.6), and a trend was noted that they were more likely to display references to sexual behaviors (OR, 1.58; 95% CI, 0.98-2.57). Reporting a sexual orientation other than straight was associated with increased likelihood of displaying references to sexual behaviors (OR, 4.48; 95% CI, 1.27-15.98). Displaying significant church or religious involvement was associated with decreased likelihood of displaying all 4 outcomes (sex: OR, 0.32; 95% CI, 0.12-0.86; substance use: OR, 0.38; 95% CI, 0.19-0.79; violence: OR, 0.12; 95% CI, 0.02-0.87; any of the 3 previously mentioned risk behaviors: OR, 0.36; 95% CI, 0.19-0.7). Displaying significant sport or hobby involvement was associated with decreased likelihood of displaying references to violence (OR, 0.27; 95% CI, 0.09-0.79) and references to any of the 3 previously mentioned risk behaviors (OR, 0.46; 95% CI, 0.27-0.79). Table 4 summarizes these data.

Table 4. 
Associations Among Variables Available on MySpace Profiles and Outcomes of Display of References to Sexual Behaviors, Substance Use, Violence, or Any of Those 3 Risk Behaviors on 18-Year-Olds' MySpace Web Profilesa
Associations Among Variables Available on MySpace Profiles and Outcomes of Display of References to Sexual Behaviors, Substance Use, Violence, or Any of Those 3 Risk Behaviors on 18-Year-Olds' MySpace Web Profilesa


Our study results confirm the widespread use of SNSs such as MySpace among sexes, ethnicities, and geographic locations. Our selected sample was representative on several levels. First, since relatively few profiles were excluded because of privacy settings (16%), our sample is likely representative of self-reported US 18-year-old MySpace members. Second, our sample includes representation of ethnicities consistent with that found in US census data.46

We found that more than half of 18-year-olds in our study displayed some reference to health risk behaviors. Prevalence data suggest that, by 12th grade, slightly more than half of adolescents have had sex, half currently drink alcohol, and 30% have been in a physical fight.2 Our data illustrate that 24% of 18-year-olds on MySpace displayed references to sex, 37% displayed references to alcohol use, and 14% displayed references to violence. Although prevalence data suggest higher proportions of self-reported participation in risk behaviors compared with our findings regarding online risk behavior display, the survey data specifically ask for self-disclosure. Our data investigated the voluntary public display of unverified personal information. We would not expect all sexually active teens to display sexual information on a public Web site. The population of adolescents who display this information may represent a higher-risk population who is willing to showcase sexual behaviors in a public venue.

Furthermore, regardless of whether adolescents actually engage in displayed behaviors, public risk behavior displays can have unintended and lasting effects. The display of health risk information online may potentially attract unwanted online attention, such as from sexual predators,18,19 or negatively affect future employment opportunities.47-49 These displays may also promote modeling of risk behaviors among other adolescents.26 Several factors make MySpace a particularly powerful setting for the modeling of risk behavior. First, risk behavior is widely displayed. Second, most MySpace users are similar in that they are adolescents and young adults—media models who are perceived to be similar to oneself are more likely to be imitated than those who are not.50 Third, the MySpace interface makes it easy to locate and connect with users who share interests, thereby amplifying the likelihood that modeling will occur. Indeed, MySpace facilitates exposure to far more varied peer behavior than does the average user's face-to-face network.

Our findings are consistent with and significantly extend those of a previous study,12 which found that approximately 47% of 16- and 17-year-olds displayed references to risk behaviors of sexual activity and substance use on MySpace public profiles. This study used randomized search methods, an older self-reported age group, additional variables, and a larger sample size. Furthermore, we included an investigation of independent predictors associated with display of risk behaviors.

We found a small proportion of profiles that met our criteria for church or religion or sport or hobby as a dominant theme of the Web profile, and these profiles were less likely to display references to risk behaviors. Our findings do not reflect the larger proportion of adolescents who actively engage in sports, hobbies, or religious activities.39 Furthermore, it is possible that adolescents who display church-based or religious references have equal participation in risk behaviors compared with peers. However, the finding that the display of significant references to church or religion or a sport or hobby reduced the likelihood of the display of references to risk behaviors is of interest—the protective effects of church or religion and sports or hobbies have been seen in survey data that assess adolescent risk behaviors.33-39

We found that reporting a sexual orientation other than straight was associated with the display of sexual content on MySpace profiles. Sexual orientation may affect an adolescent's identity formation and influence the personal content that is displayed on an SNS. For adolescents who are questioning their sexual orientation, a personal Web profile may provide an avenue for identity experimentation. Thus, SNSs may provide a venue for adolescents' exploration of sexual identity and a venue to attract potential partners. However, there may be risks to overt sexual displays on personal Web profiles. Homosexual adult men frequently report meeting sexual partners via the Internet, and studies51,52 have shown that meeting gay male partners in this way may carry higher risks of sexually transmitted infections.

Our study has several limitations that warrant mention. First, the validity of self-report on MySpace Web sites is unknown. We evaluated profiles from self-reported 18-year-olds but cannot confirm that all study participants were in fact 18 years old. Our study showed that approximately 10% of our participants reported their age as 18 years on registering with MySpace but then displayed an obvious reference to being an age other than 18 years on their profile. Furthermore, the validity of self-reported behaviors on MySpace Web pages is also unknown. Display of references to a risk behavior may represent engagement in that behavior, consideration of engagement in the behavior, boastful claims, or nonsense. The validity of displaying risk behavior information online has not been completely evaluated, but there are reasons to be concerned that such disclosures reflect either intent or actual behaviors. Previous studies of Internet behaviors have shown that computer use encourages high levels of self-disclosure and uninhibited personal expression, which supports the validity of Internet self-report.13-16 In addition, most teens report that most of their online self-representation reflects their identity but the information about themselves presented on MySpace may not be entirely current.53-55 Finally, previous studies56 also have shown that, even in Web sites designed to promote identity experimentation, such as chat rooms, individuals generally evolved their online presentations to fit their actual identities. Second, our profile search was conducted using the proprietary MySpace search engine. However, we see no obvious way in which it may have biased our findings because there is no evidence that it would systematically select higher-risk teens. Third, we evaluated Web profiles from 1 SNS. The extent to which findings could be generalized to other Web sites is not known. For consistency, and because of the availability of important data fields, we chose the single Web site that is the most popular among teens.9

Despite these limitations, our findings have valuable implications. First, it is important for parents and health care professionals who care for adolescents to have a basic understanding of SNSs and the associated risks and benefits for teens.57 Given the immense popularity of SNSs among adolescents, these Web sites have become an integral part of adolescents' lives and therefore of their health and safety. Pediatricians often counsel parents that part of being a good parent is understanding where their children spend their time; SNSs are an increasingly important venue in which today's adolescents spend their time. Although some view SNSs as an adolescent-only scene, it is only by understanding these publicly available Web sites that we can promote safe Internet use among our patients.

Second, SNS technology may someday replace other traditional forms of patient-physician or researcher-subject communication, such as the telephone, or even newer forms of communication, such as e-mail. Recent studies58 suggest that adolescents prefer communicating via SNSs rather than traditional e-mail.

Third, SNSs may provide a new venue to identify teens who are considering or engaging in health risk behaviors. Because current methods fail to identify many adolescents who may be strongly considering or are actually engaging in health risk behaviors, innovative approaches are clearly needed.59-62 Given the popularity of SNSs among teens and the high prevalence of risk behaviors displayed there, SNSs can be explored as an innovative venue to identify, screen, and ultimately intervene with adolescents who display risk behavior information.

Fourth, adolescents need guidance on safe Internet use. Given the dangers associated with displaying personal risk behavior information online, health care professionals should be able to discuss SNS disclosures with their adolescent patients and their parents. Although several organizations have developed educational materials addressing online safety, none specifically address risk behavior disclosures.63-65

Research that involves SNSs and adolescent health is still in its infancy. Further study is needed to assess the validity of SNS disclosures and how to promote healthy behaviors using SNSs.

Correspondence: Megan A. Moreno, MD, MSEd, MPH, Department of Pediatrics, University of Wisconsin-Madison, 600 Highland Ave, CSC H4/444, Madison, WI 53792-4108 (mamoreno@pediatrics.wisc.edu).

Accepted for Publication: June 18, 2008.

Author Contributions: Dr Moreno had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Moreno, Parks, Brito, and Christakis. Acquisition of data: Moreno and Brito. Analysis and interpretation of data: Moreno, Parks, Zimmerman, and Christakis. Drafting of the manuscript: Moreno and Parks. Critical revision of the manuscript for important intellectual content: Parks, Zimmerman, Brito, and Christakis. Statistical analysis: Zimmerman and Christakis. Obtained funding: Christakis. Administrative, technical, and material support: Moreno, Parks, Brito, and Christakis. Study supervision: Parks and Christakis.

Financial Disclosure: None reported.

Additional Contributions: Frederick Rivara, MD, and Paula Lozano, MD, provided departmental funding to support this fellowship research project.

Udry  J The National Longitudinal Study of Adolescent Health (Add Health), Waves I & II, 1994-1996, Wave III, 2001-2002.  Chapel Hill Population Center, University of North Carolina at Chapel Hill; 2003 Google Scholar
 Centers for Disease Control and Prevention 2005. Youth Risk Behavior Survey.  Atlanta, GA Centers for Disease Control and Prevention2005;
Busen  NHMarcus  MTvon Sternberg  KL What African-American middle school youth report about risk-taking behaviors.  J Pediatr Health Care 2006;20 (6) 393- 400PubMedGoogle ScholarCrossref
Gutierrez  JPBertozzi  SMConde-Glez  CJSanchez-Aleman  MA Risk behaviors of 15-21 year olds in Mexico lead to a high prevalence of sexually transmitted infections: results of a survey in disadvantaged urban areas.  BMC Public Health 2006;649PubMedGoogle ScholarCrossref
Yang  HLi  XBarth-Jones  DC Age of sexual initiation and HIV-related behaviours: application of survival analysis.  Sex Health 2006;3 (1) 57- 58PubMedGoogle ScholarCrossref
Lenhart  AMadden  MHitlin  P Teens and Technology: Youth are leading the transition to a fully wired and mobile nation.  Pew Internet and American Life Project Web site. http://www.pewinternet.org/PPF/r/162/report_display.asp. Accessed January 22, 2008Google Scholar
Sun  PUnger  JBPalmer  PH  et al.  Internet accessibility and usage among urban adolescents in Southern California: implications for Web-based health research.  Cyberpsychol Behav 2005;8 (5) 441- 453PubMedGoogle ScholarCrossref
Lenhart  AMadden  M Social networking websites and teens: an overview.  Pew Internet and American Life Project Web site. http://www.pewinternet.org/PPF/r/198/report_display.asp. Accesssed January 22, 2008Google Scholar
Bausch  SHan  L Social networking sites grow 47%, year over year, reaching 45% of Web users, according to Nielsen//NetRatings.  Nielsen Ratings Web site. http://www.nielsen-netratings.com/pr/pr_060511.pdf. Accessed January 8, 2008Google Scholar
Granneman  S MySpace, a place without MyParents.  Security Focus Web site. http://www.securityfocus.com/columnists/408. Accessed January 8, 2008Google Scholar
Hinduja  SPatchin  JW Personal information of adolescents on the Internet: a quantitative content analysis of MySpace.  J Adolesc 2008;31 (1) 125- 146Google ScholarCrossref
Moreno  MAParks  MRRichardson  LP What are adolescents showing the world about their health risk behaviors on MySpace?  MedGenMed 2007;9 (4) 9PubMedGoogle Scholar
Fleming  PJ Software and sympathy. Fish  SLGumpert  G Talking to Strangers Mediated Therapeutic Communication. Norwood, NJ Ablex Publishing1990;Google Scholar
Walther  JBParks  MR Cues filtered out, cues filtered in: computer mediated communication and relationships. Miller  GR The Handbook of Interpersonal Communication. Thousand Oaks, CA Sage Publications2002;529- 563Google Scholar
Wallace  PLinke  SMurray  E  et al.  A randomized controlled trial of an interactive Web-based intervention for reducing alcohol consumption.  J Telemed Telecare 2006;12 ((suppl 1)) 52- 54PubMedGoogle ScholarCrossref
Newman  MGConsoli  ABarr  TC Computers in assessment and cognitive behavioral treatment of clinical disorders: anxiety as a case in point.  Behav Ther 1997;28211- 235Google ScholarCrossref
Brown  JD Adolescents' sexual media diets.  J Adolesc Health 2000;27 (2) ((suppl)) 35- 40PubMedGoogle ScholarCrossref
Lenhart  A Cyberbullying and online teens.  Pew Internet and American Life Project 2007 Web site. http://www.pewinternet.org/PPF/r/216/report_display.asp. Accessed January 22, 2008Google Scholar
Mitchell  KJFinkelhor  DWolak  J Youth Internet users at risk for the most serious online sexual solicitations.  Am J Prev Med 2007;32 (6) 532- 537PubMedGoogle ScholarCrossref
Ybarra  MLMitchell  KJFinkelhor  D  et al.  Internet prevention messages: targeting the right online behaviors.  Arch Pediatr Adolesc Med 2007;161 (2) 138- 145PubMedGoogle Scholar
Malesky  LA  Jr Predatory online behavior: modus operandi of convicted sex offenders in identifying potential victims and contacting minors over the Internet.  J Child Sex Abus. 2007;16 (2) 23- 32Google ScholarCrossref
Mitchell  KJWolak  JFinkelhor  D Trends in youth reports of sexual solicitations, harassment and unwanted exposure to pornography on the Internet.  J Adolesc Health 2007;40 (2) 116- 126PubMedGoogle ScholarCrossref
Strasburger  VCWilson  BJ Children, Adolescents, and the Media.  Thousand Oaks, CA Sage Publications2002;
Gerbner  GHalpern-Felsher  BLOzer  EM  et al.  Living with television: the dynamics of the cultivation process. Zillman  D Perspectives on Media Effects. Hillsdale, NJ Lawrence Erlbaum Associates1986;17- 40Google Scholar
Bandura  A Social Foundations of Thought and Action: A Social Cognitive Theory.  Englewood Cliffs, NJ Prentice Hall1986;
Bandura  A Social Learning Theory.  New York, NY General Learning Press1977;
DuRant  RHSigmon Smith  K Vital statistics and injuries. Neinstein  LS Adolescent Health Care. Philadelphia, PA Lippincott, Williams and Wilkins2002;126- 169Google Scholar
Loeber  RPardini  DHomish  DL  et al.  The prediction of violence and homicide in young men.  J Consult Clin Psychol 2005;73 (6) 1074- 1088PubMedGoogle ScholarCrossref
Teplin  LA McClelland  GMAbram  KM  et al.  Early violent death among delinquent youth: a prospective longitudinal study.  Pediatrics 2005;115 (6) 1586- 1593PubMedGoogle ScholarCrossref
Baskin-Sommers  ASommers  I The co-occurrence of substance use and high-risk behaviors.  J Adolesc Health 2006;38 (5) 609- 611PubMedGoogle ScholarCrossref
Camenga  DRKlein  JDRoy  J The changing risk profile of the American adolescent smoker: implications for prevention programs and tobacco interventions.  J Adolesc Health 2006;39 (1) 1201- 1210Google ScholarCrossref
Stephens  MB Preventive health counseling for adolescents.  Am Fam Physician 2006;74 (7) 1151- 1156PubMedGoogle Scholar
Sabo  DFMiller  KEFarrell  MPMelnick  MJBarnes  GM High school athletic participation, sexual behavior and adolescent pregnancy: a regional study.  J Adolesc Health 1999;25 (3) 207- 216PubMedGoogle ScholarCrossref
Scott  LD  JrMunson  MR McMillen  JCOllie  MT Religious involvement and its association to risk behaviors among older youth in foster care.  Am J Community Psychol 2006;38 (3-4) 223- 236PubMedGoogle ScholarCrossref
Barkin  SKreiter  SDuRant  RH Exposure to violence and intentions to engage in moralistic violence during early adolescence.  J Adolesc 2001;24 (6) 777- 789PubMedGoogle ScholarCrossref
Hardy  SARaffaelli  M Adolescent religiosity and sexuality: an investigation of reciprocal influences.  J Adolesc 2003;26 (6) 731- 739PubMedGoogle ScholarCrossref
McMahon  SDSingh  JAGarner  LSBenhorin  S Taking advantage of opportunities: community involvement, well-being, and urban youth.  J Adolesc Health 2004;34 (4) 262- 265PubMedGoogle Scholar
Nelson  MCGordon-Larsen  P Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors.  Pediatrics 2006;117 (4) 1281- 1290PubMedGoogle ScholarCrossref
Smith  CDenton  ML Soul Searching: The Religious and Spiritual Lives of American Teenagers.  New York, NY Oxford University Press2005;
Hawkins  JDCatalano  RFMiller  JY Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention.  Psychol Bull 1992;112 (1) 64- 105PubMedGoogle ScholarCrossref
Catalano  RFKosterman  RHawkins  JDNewcomb  MDAbbott  RD Modeling the etiology of adolescent substance use: a test of the social development model.  J Drug Issues 1996;26 (2) 429- 455PubMedGoogle Scholar
Kosterman  RGraham  JWHawkins  JDCatalano  RFHerrenkohl  TI Childhood risk factors for persistence of violence in the transition to adulthood: a social development perspective.  Violence Vict 2001;16 (4) 355- 369PubMedGoogle Scholar
Lonczak  HSHuang  BCatalano  RF  et al.  The social predictors of adolescent alcohol misuse: a test of the social development model.  J Stud Alcohol 2001;62 (2) 179- 189PubMedGoogle Scholar
Hawkins  JDVan Horn  MLArthur  MW Community variation in risk and protective factors and substance use outcomes.  Prev Sci 2004;5 (4) 213- 220PubMedGoogle ScholarCrossref
Kosterman  RHawkins  JDAbbott  RDHill  KGHerrenkohl  TICatalano  RF Measures of positive adult behavior and their relationship to crime and substance use.  Prev Sci 2005;6 (1) 21- 33PubMedGoogle ScholarCrossref
 US Census Data Web site. 2006.;http://www.census.gov/Press-Release/www/releases/archives/cb07-70tbl1.pdf. Accessed January 6, 2008
Finder  A For some, online persona undermines a resume.  New York Times Web site. http://nytimes.com/2006/06/11/us/11recruit.html?ei=5090&en=ddfbe1e3b386090b&ex=1307678400&pagewanted=all. Accessed January 6, 2008Google Scholar
Hanisko  H MySpace is public space when it comes to job search. http://www.collegegrad.com/press/myspace.shtml. Accessed January 8, 2008
Doyle  A How blogging and social networking can impact your job search.  Job Search Web site. http://jobsearch.about.com/od/jobsearchblogs/a/jobsearchblog.htm. Accessed January 8, 2008Google Scholar
Eyal  KRubin  AM Viewer aggression and homophily, identification and parasocial relationships with television characters.  J Broadcast Electron Media 2003;47 (1) 77- 98Google ScholarCrossref
McFarlane  MBull  SSRietmeijer  CA Young adults on the Internet: risk behaviors for sexually transmitted diseases and HIV.  J Adolesc Health 2002;31 (1) 11- 16PubMedGoogle ScholarCrossref
Bull  SS McFarlane  MLloyd  LRietmeijer  C The process of seeking sex partners online and implications for STD/HIV prevention.  AIDS Care 2004;16 (8) 1012- 1020PubMedGoogle ScholarCrossref
Klein  JDGraffle Havens  CThomas  R  et al.  The Impact of Cyberspace on Teen and Young Adult Social Networks.  Toronto, Ontario, Canada Pediatric Academic Society2007;
Lenhart  AMadden  M Teens, privacy and online social networks: how teens manage their online identities and personal information in the age of MySpace.  Pew Internet and American Life Project Web site. http://www.pewinternet.org/pdfs/PIP_Teens_Privacy_SNS_Report_Final.pdf. Accessed January 20, 2008Google Scholar
Caspi  AGorsky  P Online deception: prevalence, motivation, and emotion.  Cyberpsychol Behav 2006;9 (1) 54- 59PubMedGoogle ScholarCrossref
Bechar-Israeli  H From <Bonehead> to <cLoNehEAd>: nicknames, play and identity on Internet relay chat.  J Comput Mediat Commun 1996;1 (2) http://jcmc.indiana.edu/vol1/issue2/bechar.html. Accessed January 20, 2008Google Scholar
Christakis  DA What to do about the new and growing digital divide?  Arch Pediatr Adolesc Med 2007;161 (2) 204- 205PubMedGoogle ScholarCrossref
Lenhart  AMadden  MMacgill  AR  et al.  Teens and social media  Pew Internet and American Life Project Web site. http://www.pewinternet.org/pdfs/PIP_Teens_Social_Media_Final.pdf. Accessed January 22, 2008Google Scholar
Halpern-Felsher  BLOzer  EMMillstein  SG  et al.  Preventive services in a health maintenance organization: how well do pediatricians screen and educate adolescent patients?  Arch Pediatr Adolesc Med 2000;154 (2) 173- 179PubMedGoogle ScholarCrossref
Mangione-Smith  RDeCristofaro  AHSetodji  CM  et al.  The quality of ambulatory care delivered to children in the United States.  N Engl J Med 2007;357 (15) 1515- 1523PubMedGoogle ScholarCrossref
McKee  DFletcher  J Primary care for urban adolescent girls from ethnically diverse populations: foregone care and access to confidential care.  J Health Care Poor Underserved 2006;17 (4) 759- 774PubMedGoogle ScholarCrossref
Lehrer  JAPantell  RTebb  KShafer  MA Forgone health care among U.S. adolescents: associations between risk characteristics and confidentiality concern.  J Adolesc Health 2007;40 (3) 218- 226PubMedGoogle ScholarCrossref
 AAP SafetyNet: Help protect your family online.  American Academy of Pediatrics Web site. http://safetynet.aap.org/. Accessed January 30, 2008Google Scholar
Federal Bureau of Investigation, Safety Tips: Internet Safety.  Washington, DC Federal Bureau of Investigation2007;
 What kinds of risks are there?  GetNetWise Web site. http://kids.getnetwise.org/safetyguide/danger/. Accessed January 30, 2008Google Scholar