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Record W2610822228 · doi:10.5812/ijpbs.4778

Internet Addiction and Interpersonal Communication Skills Among High School Students in Tabriz, Iran

2017· article· en· W2610822228 on OpenAlexaff
Hossein Ansari, Asghar Mohammadpoorasl, Nasrin Shahedifar, Mohammad Hasan Sahebihagh, Ali Fakhari, Mohammad Hajizadeh

Bibliographic record

VenueIranian Journal of Psychiatry and Behavioral Sciences · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAddictionLogistic regressionInterpersonal communicationClinical psychologyMedicineThe InternetPsychologyDemographyPsychiatrySocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

Background: Adolescents’ addiction to internet is a serious problem worldwide, especially in the developing countries. Objectives: The current study aimed at estimating the prevalence of internet addiction (IA) and its relationship with interpersonal communication skills (ICS) and socio-educational factors among high school students in Tabriz, Northwest of Iran. Methods: In the current cross sectional study, a total of 2416 students were selected as a study sample size in 2010. The data were collected using a valid and reliable self-administered questionnaire. The direct standardization method was employed to calculate IA prevalence. Results: The prevalence of IA was 52.1% in males and 37.0% in females. The standardized prevalence of IA among the study sample was 45.8%. The results of logistic regression analysis suggested the association of the gender (odd ratios = 1.91) and ICS scores (OR = 0.97) with IA. Conclusions: The prevalence of IA among adolescents in the Northwest of Iran was high. Males were at higher risk of IA than their female counterparts. Improvements of ICS may prevent IA in adolescents.

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)0.002
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 score0.008
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.031
GPT teacher head0.372
Teacher spread0.341 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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Same venueIranian Journal of Psychiatry and Behavioral SciencesSame topicImpact of Technology on AdolescentsFrench-language works237,207