Early-Childhood Tablet Use and Outbursts of Anger
Bibliographic record
Abstract
Importance: Tablet use continues to increase in preschool-aged children. The use of mobile devices has been linked to child emotional dysregulation. However, few studies have been able to show a clear direction of association between child tablet use and the development of self-regulation skills. In addition, few studies have modeled within-person associations over time. Objective: To estimate how child tablet use contributes to expressions of anger and frustration across the ages of 3.5 to 5.5 years at the within-person level. The study team also examined the extent to which associations are bidirectional to clarify the direction of the correlations. Design, Setting, and participants: This prospective, community-based convenience sample of 315 parents of preschool-aged children from Nova Scotia, Canada, was studied repeatedly at the ages of 3.5 (2020), 4.5 (2021), and 5.5 years (2022) during the COVID-19 pandemic. All analyses were conducted between October 5, 2023, and December 15, 2023. Exposure: Parent-reported tablet use at the ages of 3.5, 4.5, and 5.5 years. Main outcome and measures: Parents reported child expressions of anger/frustration at the ages of 3.5, 4.5, and 5.5 years using the Children's Behavior Questionnaire. Results: The sample was equally distributed across child sex (171 were identified by parents as being born boys [54%] and 144 as girls [46%]). Most reported being Canadian (287 [91.0%]) and married (258 [82.0%]). A random-intercept cross-lagged panel model revealed that a 1-SD increase in tablet use at 3.5 years (corresponding to 1.22 hours per day) was associated with a 22% SD scale increase in anger/frustration at age 4.5 years (standardized coefficient = 0.22; 95% CI, 0.01-0.44). A 1 SD scale increase in anger and frustration at 4.5 years was associated with a 22% SD (corresponding to 0.28 hours per day) increase in tablet use at 5.5 years (standardized coefficient = 0.22; 95% CI, 0.01-0.43). Conclusion and relevance: In this study, child tablet use at age 3.5 years was associated with more expressions of anger and frustration by the age of 4.5 years. Child proneness to anger/frustration at age 4.5 years was then associated with more use of tablets by age 5.5 years. These results suggest that early-childhood tablet use may contribute to a cycle that is deleterious for emotional regulation.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".