Paeds Vivas · adolescent-and-young-adult-medicine
Digital media, gaming and cyberbullying — branching viva
Branching viva on classifying digital-media risk, cyberbullying and suicidality, internet gaming disorder, online sexual exploitation, and the harm-reduction vs abstinence-only stance.
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Target exams
Stem
The examiner will test whether you can treat digital media as a clinical risk domain rather than a moral panic, and act on danger without lecturing. [7] [1]
Branch 1 — Philosophy and classification
Examiner: A parent demands you "ban the phone." How do you frame digital-media harm, and what is the discriminator that matters? [7]
Strong answer: Most young people use screens and social media without harm; the task is targeted assessment, not blanket prohibition. The discriminator is function — is sleep, mood, school, weight or safety affected? — not hours of use. Classify by exposure (screen time, gaming, cyberbullying, sexting/online sexual risk) and by the content-contact-conduct-compulsion frame. The AAP asks paediatricians to discuss media use at every visit and build a family media plan. [7] [1]
Examiner: Why does an abstinence-only stance fail here? [7]
Strong answer: A "just delete the app" ultimatum produces concealment, not change, and ends disclosure from the highest-risk young people. Variable-ratio rewards exploit a brain still building prefrontal control, so the pull outruns willpower; harm reduction works with the biology by lowering consequences and negotiating change. [7]
Branch 2 — Screening
Examiner: How do you actually ask about all this in a busy clinic? [1] [3]
Strong answer: Secure time alone and state conditional confidentiality. Normalise with "I ask every young person this." Ask the four exposures with specific questions: which apps and how late; whether gaming runs past an intended stop; whether anyone has been cruel online or shared things about them; whether anyone has pressured them for images. Run every positive lead through the function filter. [1] [3]
Branch 3 — Cyberbullying with suicidality
Examiner: A 14-year-old discloses weeks of group-chat bullying and "not wanting to be here." What now? [2]
Strong answer: Treat this as a crisis. Move to a structured suicide risk assessment — ideation, plan, intent, prior attempts, means, protective factors, ability to keep safe. Restrict means, do not leave alone, explain the confidentiality override for serious harm, and activate the crisis pathway. Preserve evidence, advise against replying, and plan blocking, reporting and takedown. Engage school and safeguarding. Note that perpetrators, not only victims, carry elevated self-harm risk. [2] [8]
Branch 4 — Gaming concern
Examiner: Parents report their son games eight hours daily and has stopped attending school. What are you looking for? [6]
Strong answer: Probe for internet gaming disorder features: preoccupation, tolerance, withdrawal, loss of control, escapism, deception about use, and functional impairment. Here the functional impairment is clear. A systematic review highlights family factors — conflict, low monitoring, poor communication — as both risk and intervention targets. Manage with graded reduction and functional goals, involve the family constructively, and refer for severe disordered use. Sudden confiscation framed as treatment is harmful. [6] [7]
Branch 5 — Online exploitation
Examiner: A 13-year-old describes an online "friend" who sends gifts and is now demanding more images, threatening exposure. [5]
Strong answer: This is online grooming progressing to sextortion — sexual exploitation of a minor. Minors rarely disclose spontaneously; ask directly and without judgement. Distinguish from consensual peer contact. Preserve evidence, do not have the family contact the perpetrator, follow local mandatory-reporting duties, and involve child-protection and law-enforcement pathways. Provide trauma-informed support and clear follow-up. Exploitation hides behind "risk-taking behaviour" unless you ask. [5] [3]
Examiner extras
- State that cyberbullying roughly doubles the odds of self-harm and suicidality — screen for suicide whenever it is disclosed. [2]
- Effect sizes for screen time and depression are modest and bidirectional; treat the depression on its merits. [4] [7]
- Local statute governs consent, mandatory reporting, sexting law and image-based-abuse pathways — do not invent universal ages. [5]
References
- [1]Council on Communications and Media Media Use in School-Aged Children and Adolescents. Pediatrics, 2016.PMID 27940794
- [2]John A, Glendenning AC, Marchant A, Montgomery P, Stewart A, Wood S, Lloyd K, Hawton K Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review. Journal of medical Internet research, 2018.PMID 29674305
- [3]Livingstone S, Smith PK Annual research review: Harms experienced by child users of online and mobile technologies: the nature, prevalence and management of sexual and aggressive risks in the digital age. Journal of child psychology and psychiatry, and allied disciplines, 2014.PMID 24438579
- [4]Boers E, Afzali MH, Newton N, Conrod P Association of Screen Time and Depression in Adolescence. JAMA pediatrics, 2019.PMID 31305878
- [5]Greene-Colozzi EA, Winters GM, Blasko B, Jeglic EL Experiences and Perceptions of Online Sexual Solicitation and Grooming of Minors: A Retrospective Report. Journal of child sexual abuse, 2020.PMID 33017275
- [6]Schneider LA, King DL, Delfabbro PH Family factors in adolescent problematic Internet gaming: A systematic review. Journal of behavioral addictions, 2017.PMID 28762279
- [7]Odgers CL, Jensen MR Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions. Journal of child psychology and psychiatry, and allied disciplines, 2020.PMID 31951670
- [8]Selkie EM, Fales JL, Moreno MA Cyberbullying Prevalence Among US Middle and High School-Aged Adolescents: A Systematic Review and Quality Assessment. The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2016.PMID 26576821