The Rise of New Alcoholic Games Among Adolescents and the Consequences in the Emergency Department: Observational Retrospective Study
Bibliographic record
Abstract
BACKGROUND: The links between the internet and teenager behavior are difficult situations to control and may lead to the development of new and excessive methods of drinking alcohol during alcoholic games. Findings indicate that reported cases are very useful sources for better understanding of alcoholic games, yielding successful measures promoting health among adolescents. Admittance of adolescents to hospital emergency departments (EDs) after consumption of excessive amounts of alcohol has become the norm in developed countries. The harmful effects of acute alcohol abuse are reported in this paper. OBJECTIVE: The aim of this work was to investigate the close connections between new drinking behaviors among adolescents and study the increase in new alcoholic games, together with the challenges that cause acute alcohol intoxication, the influence of the internet and social networks, and their consequences for public health services. METHODS: Data came from prehospital and intrahospital admissions attributable to alcohol consumption. From 2013 to 2015, 3742 patients were admitted to EDs due to acute alcohol intoxication: 830 of them were aged 15 to 30 years, and 225 were adolescents and young adults between 15 and 20 years who had been playing alcoholic games. Retrospectively, diagnostic data associated with extrahospital anamneses were selected by one of the hospital management information systems, Qlik. As a result of our previous experience, questionnaires and face-to-face interviews were performed at a later stage, when a clinical audit for intoxicated adolescent patients was described, with the overall goal of establishing a potential methodological workflow and adding important information to research carried out so far. RESULTS: Between 2013 and 2015, 830 young patients aged 15 to 30 years were admitted to EDs for acute alcohol intoxication. About 20% (166/830) of the sample confirmed that they had drunk more than 5 alcoholic units within 2 hours twice during the past 30 days as a result of binge drinking. Referring to new alcoholic games, 41% of the sample stated that they knew what neknomination is and also that at least one of their friends had accepted this challenge, describing symptoms such as vomiting, headache, altered behavior, increased talkativeness, and sociability. The median value of the weighted average cost of the diagnosis-related group relating to interventions provided by hospitals was the same for both genders, €46,091 (US $56,497; minimum €17,349 and maximum €46,091). CONCLUSIONS: Drinking games encourage young people to consume large quantities of alcohol within a short period of time putting them at risk of alcohol poisoning, which can potentially lead to accidental injuries, unsafe sex, suicide, sexual assault, and traffic accidents. The spread of these games through the internet and social networks is becoming a serious health problem facing physicians and medical professionals every day, especially in the ED; for this reason, it is necessary to be aware of the risks represented by such behaviors in order to recognize and identify preliminary symptoms and develop useful prevention programs. The strategic role of emergency services is to monitor and define the problem right from the start in order to control the epidemic, support planning, coordinate the delivery of assistance in the emergency phase, and provide medical education. Hospital-based interdisciplinary health care researchers collected specific data on hazardous drinking practices linked to evaluation of increased alcohol-related consequences and cases admitted to the ED.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".