An Investigation of the Role of Stress in affecting the Cognitive functioning and Psychological Adjustment of Caregivers of Children with Thalassemia
Bibliographic record
Abstract
To examine the role of stress in affecting the cognitive functioning and psychological adjustment of caregivers of children with thalassemia. It was a Cross-sectional observational study. The stress, cognitive functioning, and psychological adjustment were measured by using the Perceived Stress Scale, the Montreal Cognitive Assessment, and the Scale of Adjustment for Adults, respectively. Other necessary information was asked on the demographic sheet. The data of 200 caregivers of the children with thalassemia was confirmed by using analysis of Structural Equation Modeling, and the model fit was confirmed with the p-value of .004. It established that stress predicts the cognitive functioning and psychological adjustment of caregivers of the children with Thalassemia whereas inspecting the relationship among the variables individually, the stress predicts cognitive functioning with the regression estimates of -0.216 with a p-value, .000 which specifies that if stress increases by 1 unit the cognitive functioning lower down to 0.216. While the role of stress in affecting psychological adjustment had regression estimates of 2.276, which implies that if stress increases by 1 unit, the increase in psychological adjustment problems is by 2.276 (p-value, .000). There was a role of stress in affecting the cognitive functioning and psychological adjustment of caregivers of the children with thalassemia.
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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 | 0.004 |
| 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) | 0.001 | 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".