Social Anxiety and Its Correlates Among Lebanese Adults: Role of Self-Esteem, Depression, Alcohol Use Disorder, Alexithymia, and Work Fatigue.
Bibliographic record
Abstract
To evaluate factors associated with social anxiety disorder among the Lebanese population, construct a new model associating these factors, and compare its uniformity with a theoretical framework. A total of 789 participants were enrolled in this cross-sectional survey study. The Liebowitz Social Anxiety Scale was used to assess fear and avoidance. The study was conducted from November 2017 to March 2018. = .001) were significantly associated with lower social phobia. This study provides crucial information about the psychological factors of social anxiety among the Lebanese population. Divorce, depression, and emotional exhaustion/work fatigue were associated with higher social anxiety. Low self-esteem and better relationship management were associated with lower social anxiety. Psychotherapy interventions may be beneficial to reduce depression and work fatigue and improve emotional intelligence and self-esteem.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".