The Relationship of Smartphone Addiction and Alexithymia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students. METHODS: A group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use. RESULTS: The mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the "SA" and 198 (21.2%) in the "alexithymia" categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117-2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134-1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059-1.090, p<0.001) were found to be an independent predictors for SA. CONCLUSION: The study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it