Major depressive disorder in different age groups and quality of life
Bibliographic record
Abstract
Major Depressive Disorder (MDD) is a significant public health problem due to its impact on the quality of life. The aim of the study was to determine the presentation of depression in different age group and quality of life among the respondents. This was a descriptive cross sectional study conducted from May, 2012 to February, 2013 among 65 patients aged 18 to 65 years with major depressive disorder in both outpatient and inpatient departments of National Institute of Mental Health (NIMH), Dhaka by using convenient sampling technique. Diagnostic and Statistical Manual of Mental Disorders- Text version (DSM-IV-TR), Beck Depression Inventory and World Health Organization Quality of Life Scale, Brief version (WHOQOL-BREF) were used to diagnose depressive disorder, to measure severity of depressive illness and Quality of Life (QOL) respectively. Level of depression was compared with the QOL. Quality of life deteriorated in patients with depression. Presence and level of depression was compared in different age groups of depressed patients. The results showed that most of the depressed people (17) were found in the age group of 21-25 years and most of the patients were severely depressed which was thirty nine (39). The study revealed that young people were mostly depressed and their quality of life was decreasing. lt needs further study to explore more information about pattern of presentation of depression and its effect on the quality of life.Bang J Psychiatry Dec 2014; 28(2): 58-61
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".