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Record W3130360207 · doi:10.1111/cch.12859

The association between parent–child technology interference and cognitive and social–emotional development in preschool‐aged children

2021· article· en· W3130360207 on OpenAlexafffundabout
Valerie Carson, Nicholas Kuzik

Bibliographic record

VenueChild Care Health and Development · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsPsychologyCognitionDevelopmental psychologyChild developmentProsocial behaviorCognitive developmentAssociation (psychology)

Abstract

fetched live from OpenAlex

BACKGROUND: The increased adoption and dependence of electronic devices have potential implications on parent-child relationships, including parental responsiveness. Few studies have examined the association between parent-child technology interference and developmental outcomes. The objective of this study was to examine the associations between parent-child technology interference and cognitive and social-emotional development in preschool-aged children (3-5 years). METHODS: Participants were 100 parents and their preschool-aged child from Edmonton, Canada. Parent-child technology interference across six different devices (i.e., cell phone/smartphone, tablet, iPod, television, computer and video game console) was parental reported using an adapted version of the Technology Device Interference Scale, and a total score was calculated. Cognitive development was objectively measured using three iPad-based tasks from the Early Years Toolbox to capture executive functions (i.e., working memory and response inhibition) and language development (i.e., expressive vocabulary). Social-emotional development was parental reported using the Child Self-Regulation and Social Behaviour Questionnaire, and seven subscales (i.e., sociability, externalizing, internalizing, prosocial and behavioural, cognitive, and emotional self-regulation) were calculated. Multiple linear regression models that adjusted for several potential confounders were conducted. RESULTS: The mean total parent-child technology interference score was 4.2 units, which equates to approximately 12-16 interruptions per day due to an electronic device. Approximately 60% of the score was due to interference by a cell phone/smartphone. After removing influential cases based on Cook's distance values, higher parent-child technology interference was significantly associated with lower response inhibition (B = -0.015, 95% CI: -0.028, -0.002) and emotional self-regulation (B = -0.095, 95% CI: -0.163, -0.028) scores and higher log externalizing (B = 0.033, 95% CI: 0.002, 0.063) and log internalizing (B = 0.034, 95% CI: 0.013, 0.056) scores. CONCLUSIONS: Electronic devices, in particular the cell phone/smartphone, appear to interrupt parents' conversations and activities with their preschool-aged child multiple times per day. Higher parent-child technology interference may be adversely associated with several subdomains of early childhood development. Future longitudinal and experimental research is needed to confirm these findings.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations47
Published2021
Admission routes3
Has abstractyes

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