The relationships between nomophobia, alexithymia and metacognitive problems in an adolescent population
Bibliographic record
Abstract
Yavuz M, Altan B, Bayrak B, Gündüz M, Bolat N. The relationships between nomophobia, alexithymia and metacognitive problems in an adolescent population. Turk J Pediatr 2019; 61: 345-351. Nomophobia refers to an intense anxiety and stress caused by being out of contact with mobile phones (MPs). It is known that excessive engagement with MPs decreases adolescents` psychological well-being, social and academic functioning. The aim of this study was to investigate the associations of nomophobia with alexithymia which is characterized by difficulties in describing and expressing emotions and using empathy, and with the metacognition characteristics which have the function of controlling the cognitions in an adolescent population. The study was conducted on 1817 participants (n = 972, 54% female, n = 835, 46% male). The Nomophobia Questionnaire (NMP-Q), The Twenty-Item Toronto Alexithymia Scale (TAS-20) and The Metacognition Questionnaire for Children and Adolescents (MCQ-C) were administered to participants. A question form for socio-demographic data was also administered to participants and their families. Cathegorical variables were analyzed by chi-square test, and numerical variables were analyzed by independent sample t test. The relationships between the scales` scores were analyzed by the Pearson-product moments correlation test. The predictive effects of alexithymia, metacognition problems and gender were assessed by multiple linear regression analysis. Nomophobia, alexithymia and metacognition problem levels were significantly higher in females than males. There was a significant correlation between NMP-Q and TAS-20 scores and MCQ-C scores. TAS-20, MCQ-C scores and gender significantly predicted the nomophobia when NMP-Q score was a dependent variable. Therapeutic interventions for improving social skills like emphatic thinking and/or increasing emotional expression may be beneficial in the treatment of adolescents with alexithymic traits which experience nomophobia. Moreover, interventions that enhance metacognitive skills which can control negative thoughts triggered by the possibility of losing contact with MPs may increase treatment success.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".