FREQUENCY OF DEPRESSION AND GENERAL MENTAL HEALTH AMONG PRIMARY CAREGIVERS OF DISABLED PERSONS WITH BLAST INJURIES: A CROSS SECTIONAL STUDY
Bibliographic record
Abstract
Objectives: To determine the frequency of depression among the caregivers of disabled wounded persons. To find the association between socio demographic factors and depression among the primary care givers of disabled wounded persons. Study Design: Descriptive cross sectional study. Place and Duration of Study: This study was conducted in Armed Forces Institute of Rehabilitation (AFIRM),Combined Military Hospital (CMH), Pak Emirates Military Hospital (PEMH), Armed Forces Institute of Mental Health (AFIMH), Armed Forces Institute of Ophthalmology (AFIO) Pakistan, from Mar to Sep 2018. Material and Methods: Sample size of 220 primary care givers was taken by using WHO sample calculator. Primary care givers who were the relatives (parents, wife, children, siblings) mentally fit between ages 16-74 years were included in the study. Hamilton rating scale for depression and General Health Questionnaire-12 were applied. This study is ethically approved by ethical institutional review board of AFPGMI and AFIRM. Results: By using Hamilton rating scale for depression less than 20% had moderate depression less than half (40%) of the primary care givers had mild depression, quarter (30%) had no depression. Majority of the female primary caregivers (69%) were suffering from severe depression while only quarter (30%) of male primary caregivers were suffering from severe depression (p=0.001). Conclusion: The study will help to provide an insight into the burden of the mental health issues like depression in order to formulate integrated, promotional and preventive interventions and services for the primary care givers of disable persons.
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How this classification was reachedexpand
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 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".