Online Social Networking, Sexual Risk and Protective Behaviors: Considerations for Clinicians and Researchers

Holloway, Ian W.; Dunlap, Shannon; Pino, Homero E. del; Hermanstyne, Keith A.; Pulsipher, Craig; Landovitz, Raphael J.

doi:10.1007/s40429-014-0029-4

Cited by 69 publications

(62 citation statements)

References 51 publications

(62 reference statements)

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“…Risky sexual behaviour may be defined as an active engagement into the sexual activities online (Livingstone, & Görzig, 2014) what may have negative consequences to one's personal life (Holloway, 2014). It is said that adolescents generally use the Internet to look for the information about sex and sexual experiences, to flirt or to start and maintain sexual conversations with other Internet users (Subrahmanyam, & Greenfield, 2008).…”

Section: Risky Online Behaviourmentioning

confidence: 99%

Students’ Engagement in Risky Online Behaviour: The Comparison of Youth and Secondary Schools’

Paluckaitė¹,

Žardeckaitė-Matulaitienė²

2016

European Proceedings of Social &Amp; Behavioural Sciences

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Nowadays adolescents use the Internet very often in their daily life activities what, according to the researchers, causes their engagement in risky online behaviour. Youth school's students may be at greater risks online as they generally come from socially riskier or single-parent families. Thus, the purpose of this study is to find out if there are any differences between youth and secondary schools' students' engagement in risky online behaviours. Research method -cross-sectional survey with a questionnaire, created using a variety of risky online behaviour forms (e.g., communicates with unknown people; visit pornographic sites). The tendency to engage in any risky behaviour participants had to rate on the scale from 1 (never engage) to 6 (always engage). The participants also had to answer some demographical questions about their family, age, and gender. 195 students (105 female and 90 male; mean age -14.8) have participated in the study. Results have shown that youth school's students are more likely than secondary school's students to post photos of age forbidden behaviour and to post rude, offensive comments. Students engagement in risky online behaviour is related to their age and time spent online: older and using the Internet more often students are more likely to engage in risky online behaviours. Thus, older students and students who spend more time on the Internet are more susceptible to online risks despite their social environment. More attention should be paid for youth's risky online behaviour psychological interventions.

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Section: Risky Online Behaviourmentioning

confidence: 99%

Students’ Engagement in Risky Online Behaviour: The Comparison of Youth and Secondary Schools’

Paluckaitė¹,

Žardeckaitė-Matulaitienė²

2016

European Proceedings of Social &Amp; Behavioural Sciences

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“…These same tools may also link youth to services, facilitate social support and community mobilization (18), and promote risk reduction norms (19). However, technology may also facilitate youth’s exposure to behavioral (e.g., non-disclosure of HIV status to partners met online) or social (e.g., stigma, prejudice, bullying) risk factors (20). Content shared among youth on social networking sites and perceptions of peers’ behaviors may also affect offline sexual risk intentions and behaviors (21-23).…”

Section: Introductionmentioning

confidence: 99%

Youth, Technology, and HIV: Recent Advances and Future Directions

et al. 2015

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Technology, including mobile technologies and social media, offers powerful tools to reach, engage, and retain youth and young adults in HIV prevention and care interventions both in the United States and globally. In this report we focus on HIV, technology, and youth, presenting a synthesis of recently published (Jan 2014-May 2015) observational and experimental studies relevant for understanding and intervening on HIV risk, prevention and care. We present findings from a selection of the 66 relevant citations identified, highlighting studies that demonstrate a novel approach to technology interventions among youth in regard to content, delivery, target population or public health impact. We discuss current trends globally and in the US in how youth are using technology, as well as emergent research issues in this field – including the need for new theories for developing technology-based HIV interventions and new metrics of engagement, exposure, and evaluation.

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“…One thought is that trans women who use the Internet to find trans friends also use the Internet to gain health-related information regarding their gender enhancement process. While there currently is a paucity of research investigating the role of the Internet in health-seeking behaviors among trans women, studies with sexual minority men and people living with HIV have highlighted that the Internet is a useful tool for gaining health-related information and often fills an unmet need for health information among vulnerable populations (Holloway et al, 2014; Kalichman, Benotsch, Weinhardt, Austin, & Luke, 2002; Kalichman et al, 2006; Mustanski, Lyons, & Garcia, 2011). Networks of trans women who have found friendship through the Internet likely have greater access to health information than trans women who do not use the Internet to find trans friends.…”

Section: Discussionmentioning

confidence: 99%

Structural Inequities and Social Networks Impact Hormone Use and Misuse Among Transgender Women in Los Angeles County

et al. 2018

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In order to reduce gender dysphoria and combat stigma, transgender women often affirm their gender through social and medical transition, which may include cross-sex hormone therapy. This study examined associations between medically monitored hormone use and hormone misuse (non-prescribed hormone use including “fillers”), structural inequities (access to housing, health insurance, and income) and social network dynamics among 271 transgender women in Los Angeles. Hormone use status was coded trichotomously (hormone use, hormone misuse, no hormone use), and robust multinomial logistic regression as well as novel social network analysis were conducted to examine associations. Results demonstrated that younger, African American/Black transgender women were most likely to engage in hormone misuse compared to transgender women who were older or non-African American/Black. One-third of the sample reported sex work as a main source of income, and this group was more likely to misuse hormones than those with another primary source of income. Transgender women with access to stable housing and health insurance were most likely to engage in medically monitored hormone use. Social network analysis revealed that transgender women with a greater number of hormone-using network alters were most likely to misuse hormones, but that using the Internet to find transgender friends mitigated this association. Results demonstrate the multi-faceted risk profile of transgender women who use and misuse hormones, including that social networks play an important role in hormone usage among transgender women.

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Online Social Networking, Sexual Risk and Protective Behaviors: Considerations for Clinicians and Researchers

Cited by 69 publications

References 51 publications

Students’ Engagement in Risky Online Behaviour: The Comparison of Youth and Secondary Schools’

Students’ Engagement in Risky Online Behaviour: The Comparison of Youth and Secondary Schools’

Youth, Technology, and HIV: Recent Advances and Future Directions

Structural Inequities and Social Networks Impact Hormone Use and Misuse Among Transgender Women in Los Angeles County

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