Associations Between Uncertainty Stress, Life Stress and Internet Addiction Among Medical Students
Bibliographic record
Abstract
Objectives Internet Addiction (IA) is a growing issue predominate in adolescents and young adults. Although the effects of diverse stressors on IA have been highlighted, there is little consensus about the specific underpinnings of IA. The current study aims to investigate associations between uncertainty stress, life stress and IA among Chinese university medical students. Methods A cross-sectional survey employing multi-stage sampling was used. Data were collected from 6,061 students from 27 university medical programs across China. Associations between uncertainty stress, life stress, and IA were examined by means of multivariate logistic regression. Results The findings indicated that the overall IA prevalence was 12.6% (95% CI 11.7-13.5), life stress prevalence was 8.1% (95% CI 7.4-8.8), and uncertainty stress prevalence was 19.1% (95% CI 18.1-20.1). Multivariate logistic regression showed that uncertainty stress [adjusted OR 2.60 (95% CI 2.14-3.15), P < 0.001] and life stress [adjusted OR 1.71 (95% CI 1.32-2.23), P < 0.001] were positively associated with IA. Population Attributable Risk (PAR) of uncertainty stress associated with IA was 29%, and that of life stress was 15%. Conclusions The contribution of uncertainty stress to IA is significantly higher than that of life stress. High uncertainty stress, being male and born in a region of higher economic status were associated with excessive Internet use and IA.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".