Perceived Parental Distraction by Technology and Mental Health Among Emerging Adolescents
Bibliographic record
Abstract
Importance: The digital phenomenon termed technoference refers to interruptions in routine social interactions due to technology use. Technoference may negatively affect parents' attention to cues necessary for supporting children's mental health. Objective: To explore whether there are directional prospective associations between perceived parental technoference and emerging adolescents' mental health symptoms (anxiety, depression, inattention, and hyperactivity). Design, Setting, and Participants: This cohort study assessed a general population of mothers and emerging adolescents in Calgary, Alberta, Canada. Women were recruited during pregnancy between May 3, 2008, and December 13, 2010, with convenience sampling and repeated follow-up; eligible women were 18 years or older, spoke English, had a gestational age of at least 24 weeks, and received local prenatal care. Data collection for the present study took place when emerging adolescents were aged 9 (May 20 to July 15, 2020), 10 (March 4 to April 30, 2021), and 11 (November 22, 2021, to January 17, 2022) years. Mothers provided consent for their child to participate, and emerging adolescents provided assent. Data were analyzed from December 1 to 31, 2023, using random-intercept cross-lagged panel models. Exposure: Perceived parental technoference. Main Outcomes and Measures: Emerging adolescents completed questionnaires about their perception of parental technoference and their mental health symptoms (depression, anxiety, hyperactivity, and inattention) at the 3 study times. This study did not rely on statistical significance, but instead on the magnitude of effect sizes to determine meaningful effects. Results: Participants included 1303 emerging adolescents (mean [SD] age, 9.7 [0.8] years at time 1; of the 1028 reporting information, 529 [51.5%] were girls). Cross-sectional associations indicated correlations between perceptions of parental technoference and emerging adolescents' mental health (r range, 0.17-0.19). Higher levels of anxiety at 9 and 10 years of age were prospectively associated with higher parental technoference scores at 10 (β = 0.11 [95% CI, -0.05 to 0.26]) and 11 (β = 0.12 [95% CI, 0.001-0.24]) years of age, with small magnitudes of effect size. Higher parental technoference scores at 9 and 10 years of age were prospectively associated with higher hyperactivity at 10 (β = 0.07 [95% CI, -0.07 to 0.22]) and 11 (β = 0.11 [95% CI, -0.02 to 0.24]) years of age and inattention at 11 years of age (β = 0.12 [95% CI, 0.001-0.24]), with small magnitudes of effect size. No gender differences were identified. Conclusions and Relevance: In this 3-wave longitudinal birth cohort study, perceived parental technoference was associated with emerging adolescents' mental health. The findings speak to the need to discuss digital technology use and mental health with parents and emerging adolescents as a part of routine care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".