Mental Distress and Psychological Disorders Related to COVID-19 Mandatory Lockdown
Bibliographic record
Abstract
Background: Lockdown restrictions due to COVID-19 have affected many people's lifestyles and ability to earn a living. They add further distress to the lives of people in Syria, who have already endured 9 years of war. This study evaluates distress and the major causes of concerns related to COVID-19 during the full lockdown. Methods: Online questionnaires were distributed using SPTSS, K10, and MSPSS which were used with other demographic, war- and COVID-19-related questions that were taken from The (CRISIS) V0.1 Adult Self-Report Baseline Form. Results: Our sample included 5,588 with the mean age of 26.84 ± 7.815 years. Of those, only one case of COVID-19 was confirmed. Over 42.7% had two or more positive PTSD symptoms, 42.6% had moderate or severe mental disorder, but only 14.9% had low social support. Higher PTSD and K10 scores overall were seen in female participants and with most of war variables ( P < 0.05). Relationships with the partner being negatively affected and distress from a decline in ability to work and provide food were the most prominent. Conclusions: The indirect effects of COVID-19 are far more than that of the pathogen itself. A reduced ability to earn and to provide food were the main concerns indicated in this study. Relationships deteriorated in participants with high K10 and PTSD scores who also had more symptoms and used more hypnotics in the last four weeks. Smoking patterns were not related to K10 and PTSD. Social support played a role in reducing stress, but when relationships were affected, lower support was observed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".