Reducing Stress in Youth: A Pilot-Study on the Effects of a University-Based Intervention Program for University Students in Pune, India
Bibliographic record
Abstract
<p>Mental health problems among youth have become important public health concern for many low &amp; middle- income countries. As part of a research program to improve mental wellbeing in Pune, India, a university-based intervention was developed for students of two educational institutes. In one month, 33 students (age 18-22) participated in a series of 2-hour sessions in which they were stimulated to learn better coping skills to deal with stress and anxiety. The interactive sessions were facilitated by a psychologist and volunteers of a suicide prevention NGO. Rational Emotive Behaviour Therapy (REBT) approaches were used to help students identify stressors and find alternative thought patterns towards the stressor. Playful exercises, such as theatre, dance and poetry, were used to develop self-esteem, self-expression and a better sense of control in students. Throughout the program, relaxation methods, such as Emotional Freedom Technique (EFT), were practiced to help reduce stress in students. To study the impact of the intervention, data were collected, before- and after the intervention and in an eight month follow-up with the Perceived Stress Scale (PSS), in combination with open questionnaires and field notes. Preliminary results show a significant decrease in average stress scores in students after the program in comparison to before the intervention (p-value is 0.044 &lt; 0.05). Students reflect upon the program as helpful and specifically emphasize the role of poetry, dance &amp; EFT as main contributors. In follow-up tests perceived stress scores remained lower than at base-line, although not significant. Booster sessions are suggested to sustain the benefits. Overall, the results of this pilot study show that low threshold, university-based interventions, could be useful in stimulating psychosocial well-being in youth.</p><p> </p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".