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Parental mental health and Internet Addiction in adolescents

Evidence and attribution

Authority of statements

This PDF is outside the computational chemistry focus of vanDuinWiki; the page exists because the file was registered in the corpus manifest. Summaries are non-technical and grounded only in the extract.

Summary

Short communication reporting a parent–child dyad survey (n = 1098 usable dyads) linking adolescent Internet Addiction scores (Young IAT) to parental Depression–Anxiety–Stress Scale (DASS) outcomes in a Hong Kong school sample. The purpose statement in the extract is to relate parental mental health, especially depression, to adolescent IA. Logistic regression with covariate adjustment finds a significant association between moderate-to-severe parental depression and adolescent IA risk (OR = 3.03, 95% CI 1.67–5.48 in the reported model), whereas parental anxiety and stress do not show significant associations with child IA in the same modeling framework (abstract; extract). The article is outside the computational chemistry focus of this knowledge base but remains a registered corpus PDF for manifest completeness.

Methods

Study design and setting (non-computational; checklist D)

  • Cross-sectional survey of parent–adolescent dyads conducted in Hong Kong (March 2014) among 13–17-year-old students (extract).
  • Sampling: two schools chosen randomly; one class per grade selected randomly; participating dyads enrolled with written consent (extract).
  • Ethics: approval from the Hong Kong Institute of Education (extract).

Measures

  • Adolescent internet addiction: Young Internet Addiction Test (IAT) (extract).
  • Parental mental health: Depression Anxiety Stress Scales (DASS) with separate depression, anxiety, and stress subscales (extract).

Statistical analysis

  • Logistic regression models estimate associations between parental DASS categories and adolescent IA risk with covariate adjustment for confounders listed in the article (extract).

Scope note for this knowledge base

  • This is outside the computational-chemistry focus of vanDuinWiki; methods are summarized for manifest completeness only.

Atomistic simulation / force-field protocols

N/A — MD, DFT, ReaxFF, or related atomistic workflows: this registered PDF is a human-behavior / public-health survey paper (papers/Others/Lam_Parental mental health and Internet Addiction in adolescents.pdf), not a materials simulation study.

Findings

Outcomes and mechanisms

Among 1098 usable dyads, 24.0% of students fall in moderate–severe IA risk by IAT cutoffs. Regression results indicate moderate-to-severe parental depression associates with adolescent IA after adjustment (OR = 3.03, 95% CI 1.67–5.48). Parental anxiety and stress show no significant association with child IA in the reported model (abstract; extract page 1).

Comparisons

About 6%, 4%, and 8% of parents are categorized at moderate-to-severe risk for depression, anxiety, and stress, respectively, in the extract’s summary statistics—providing baseline prevalence context for interpreting the depression association.

Sensitivity and design levers

The abstract/extract emphasizes covariate-adjusted logistic regression; additional sensitivity analyses (alternative cutoffs, model specs) are not reproduced on the indexed extract—read the Computers in Human Behavior article if added to the corpus with a DOI.

Limitations and corpus honesty

This page is manifest-driven documentation for a non-chemistry PDF; do not route ReaxFF/MD retrieval here (## Limitations). Claims follow normalized/extracts/2014lam-venue-parental-mental_p1-2.txt and papers/Others/Lam_Parental mental health and Internet Addiction in adolescents.pdf.

Limitations

Not a simulation or materials paper; do not use this slug for ReaxFF or MD retrieval—retain only for manifest provenance. Out-of-domain entries may still appear in mechanical corpus listings; they are not part of the MAS chemistry spine.

Citations and evidence anchors

  • Journal landing information should be taken from the published Computers in Human Behavior article if DOI is added later; current extract shows Elsevier copyright 2014 (extract page 1).

(None in-scope for this knowledge base.)