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Record W4403966206 · doi:10.2196/59441

Reciprocal Relationship Between Self-Control Belief and Gaming Disorder in Children and Adolescents: Longitudinal Survey Study

2024· article· en· W4403966206 on OpenAlexvenueno aff
Shimin Zhu, Di Qi

Bibliographic record

VenueJMIR Serious Games · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintReciprocalPsychologySocial psychologyDevelopmental psychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Background: Children and adolescents are often at the crossroads of leisure gaming and excessive gaming. It is essential to identify the modifiable psychosocial factors influencing gaming disorder development. The lay theories of self-control (ie, the beliefs about whether self-control can be improved, also called self-control mindsets) may interplay with self-control and gaming disorder and serve as a promising influential factor for gaming disorder. Objective: This study aims to answer the research questions "Does believing one's self-control is unchangeable predict more severe gaming disorder symptoms later?" and "Does the severity of gaming disorder symptoms prospectively predict self-control mindsets?" with a 1-year, 2-wave, school-based longitudinal survey. Methods: A total of 3264 students (338 in grades 4-5 and 2926 in grades 7-10) from 15 schools in Hong Kong participated in the classroom surveys. We used cross-lagged panel models to examine the direction of the longitudinal association between self-control mindsets and gaming disorder. Results: A bidirectional relationship was found between self-control mindsets and gaming disorder symptom severity (the cross-lagged path from mindsets to gaming disorder: regression coefficients [b] with 95% CI [0.070, 0.020-0.12o, P=.006]; and from gaming disorder to mindsets: b with 95% CI [0.11, 0.060-0.160, P<.001]). Subgroup analyses of boy and girl participants revealed that more growth mindsets regarding self-control predicted less severe gaming disorder symptoms in girls (b=0.12, 95% CI 0.053-0.190, P=.001) but not in boys (b=0.025, 95% CI -0.050 to 0.100, P=.51), while more severe gaming disorder symptoms predicted a more fixed mindset of self-control in both boys (b=0.15, 95% CI 0.069-0.230, P<.001) and girls (b=0.098, 95% CI 0.031-0.170, P=.004) after 1 year. Conclusions: Our findings demonstrated the negative impact of gaming disorder on one's self-control malleability beliefs and implied that promoting a growth mindset regarding self-control might be a promising strategy for gaming disorder prevention and early intervention, especially for girls.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.323
Teacher spread0.306 · 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 teacher head, 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

Citations1
Published2024
Admission routes1
Has abstractyes

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