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. 2019 May;22(5):315-324.
doi: 10.1089/cyber.2018.0408. Epub 2019 Mar 21.

Cyber Behaviors Among Heterosexual and Sexual Minority Youth: Subgroup Differences and Associations with Health Indicators

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Cyber Behaviors Among Heterosexual and Sexual Minority Youth: Subgroup Differences and Associations with Health Indicators

Jeremy W Luk et al. Cyberpsychol Behav Soc Netw. 2019 May.

Abstract

To examine the associations of adolescent sexual orientation with cyber behaviors and health indicators 5 years later during young adulthood and test whether cyber behaviors contribute to sexual orientation health disparities. Data were drawn from Waves 2 and 7 from the NEXT Generational Health Study, a nationally representative cohort of U.S. adolescents (n = 2012). Multiple linear regressions were used to examine differences between sexual orientation subgroups (defined based on sexual attraction) in five cyber behaviors and five health indicators. Mediation analyses were conducted to examine whether cyber behaviors mediated the associations between bisexual attraction and health indicators. Relative to heterosexual peers, bisexual youth spent more time engaging in cyber behaviors and social media, and reported more psychosomatic symptoms and poorer general health. Gay and questioning males spent less time playing video games than heterosexual males. Bisexual females reported more depressive symptoms and less optimism and happiness than heterosexual females. Time spent on cyber behaviors and social media was a significant mediator of adolescent bisexual attraction and worse health outcomes in young adulthood. Frequency of cyber behaviors differed between sexual minority subgroups. Bisexual youth in particular had more psychosomatic symptoms and poorer general health. Engagement in cyber behaviors and social media use contributed to increased health disparities among bisexual youth.

Keywords: LGBQ; bisexuality; cyber behaviors; positive health; social network; video gaming.

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Conflict of interest statement

No competing financial interests exist.

Figures

<b>FIG. 1.</b>
FIG. 1.
Conceptual mediation model. Due to moderate to high correlations between cyber behaviors, for each health indicator three mediation models were conducted separately for weekday time spent on cyber behavior, weekend time spent on cyber behavior, and frequency of social media use.

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