Factors affecting psychological adjustment of oncology patients at different cancer welfare societies in Saudi Arabia
Bibliographic record
Abstract
Background and objective: Cancer induces more psychological pressure than any other illness in humans, and produces various physical, psychological, social, economic, and family issues. There are many factors associated with adjustment in cancer patients. Various cancer therapies can complicate and affect patient’s adjustment to the disease. Study aim: To assess factors affecting psychological disease adjustment of oncology patients at different cancer societies in Saudi Arabia.Methods: A quantitative cross sectional correlational research design was utilized to conducted the study among cancer patients at different cancer welfare societies in regions of Kingdom of Saudi Arabia. Two electronic questionnaires were used to collect data including Mental Adjustment to Cancer (MAC) Scale, and Factors affecting patient’s adjustment to cancer disease questionnaire. Data were tabulated in MS Excel and all data analyses were carried out using SPSS version 26.Results: 374 cancer patients most common age group from them was 18-29 years old (31.3%) with more than a half were females (53.2%) and nearly all (89.6%) were Saudis. In terms of mental adjustment, female gender and low income had a negative impact on worried preoccupation, whereas regular exercise, listening to music, having a family history of cancer, and having friends with cancer had a beneficial impact. Non-Saudis had a higher fighting spirit than Saudis, while those with a decent income and regular exercise had a lower fighting spirit. Fatalism also had a strong impact on patients who were less educated or had a family history of cancer.Conclusions: The overall mental adjustment of cancer patients had been affected by the regular exercise and similar illness among their friends but non-Saudis demonstrated better coping strategies than Saudi patients. The researchers recommend that health care providers encourage the patient to express feeling and to perform regular exercise to decrease the level of anxiety and enhance mood.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".