Social Functioning and Mental Health Status during COVID-19 Pandemic
Bibliographic record
Abstract
BACKGROUND: A descriptive type of cross-sectional study was carried out to assess the social functioning and mental health status of the COVID-19 pandemic with 117 samples. The aim of the study was to determine the social functioning and mental health status of the Bangladesh University of Health Sciences (BUHS) faculties and officers during the COVID-19 pandemic. METHODOLOGY: A descriptive type of cross-sectional study was carried out with 117 University teachers and other officers who took part in the study over three months from June-2020 to August-2020. All participants who was fulfilled the inclusion criteria were invited in this study. Convenience sampling technique was used to recruit the study participants. AOQ form (Borderline Personality Disorder Mental Health assessment form) is used to measure the mental health outcomes of the respondents. The Social Functioning Questionnaire (SFQ), an eight-item self-report scale (score range 0-24), was developed from the Social Functioning Schedule (SFS). RESULTS: The socio-demographic characteristics of the respondents were considered as sex, occupation, type of family, history of chronic diseases, living area, and work from home. The study revealed that more than half 53.8% (n = 63) of the respondents were male. It was found that 69.2 % (n = 81) of them belonged to nuclear families; among them, 84.6% (n = 99) were living in urban areas and 54.7% (n = 64) worked from home. It shows a statistically significant (p = 0.001) association between sex and money problem. Male has more significant money problems than females. There was a significant association between social functioning and mental health scores (r = .391, p = .001). The results showed a partial correlation between social functioning score and mental health score after adjusting for age and sex. Here, r = .276 and p = .003. This means that social functioning and mental health scores are significantly correlated even after controlling for age and sex. There was a significant association between mental health and social function status (p = 0.01). CONCLUSION: This study found a significant association between mental health and social function status. This would be helpful for future mental health support for those individuals with prior vulnerable mental health status.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".