Trajectories of Adolescent Media Use and Their Associations With Psychotic Experiences
Bibliographic record
Abstract
Importance: Adolescent media use is thought to influence mental health, but whether it is associated with psychotic experiences (PEs) is unclear. Objective: To examine longitudinal trajectories of adolescent media use and their associations with PEs at 23 years of age. Design, Setting, and Participants: This cohort study included participants from the Québec Longitudinal Study of Child Development (1998-2021): children who were born in Québec, Canada, and followed up annually or biennially from ages 5 months through 23 years. Data were analyzed between January 2023 and January 2024. Exposures: Participants reported their weekly amount of television viewing, video gaming, computer use, and reading at ages 12, 13, 15, and 17 years. Main Outcome and Measures: Lifetime occurrence of PEs was measured at 23 years of age. Covariables included sociodemographic, genetic, family, and childhood characteristics between ages 5 months and 12 years. Results: A total of 1226 participants were included in the analyses (713 [58.2%] female, 513 [41.8%] male). For each media type, latent class mixed modeling identified 3 group-based trajectories, with subgroups following trajectories of higher use: television viewing, 128 (10.4%); video gaming, 145 (11.8%); computer use, 353 (28.8%); and reading, 140 (11.4%). Relative to lower video gaming, higher video gaming was preceded by higher levels of mental health and interpersonal problems at age 12 years. Adjusting for these risk factors mitigated the association between higher video gaming and PEs at age 23 years. The curved trajectory of computer use (189 [15.4%] participants), characterized by increasing levels of use until age 15 years followed by a decrease, was associated with higher PEs (estimated difference, +5.3%; 95% CI, +1.5% to +9.3%) relative to lower use (684 [55.8%] participants). This association remained statistically significant after covariable adjustment. Conclusions and Relevance: This study found that longitudinal trajectories of media use during adolescence were modestly associated with PEs at age 23 years, likely reflecting the influence of shared risk factors. Understanding the environmental determinants and psychosocial functions of media use during adolescence may help better integrate digital technologies in the prevention and management of PEs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".