Investigation of the Relationship between Illogical Thoughts and Dependence on Others and Marriage Compatibility in the Iranian Veterans Exposed to Chemicals in Iran-Iraq War
Bibliographic record
Abstract
BACKGROUND: Marital satisfaction is one of the main determinants of a family's correct function. A large number of veterans have been reported to suffer from depression, anxiety, mood disorders, post-traumatic stress disorder, and physical disorders. The objective of this study is to examine association between Illogical thoughts and Dependence on Others and Marriage Compatibility in the Iranian Veterans Exposed to Chemicals in Iran-Iraq War. METHODS: The present cross-sectional, analytical study was conducted on 200 veterans exposed to chemicals who were covered by the Foundation of Martyrs and Veterans Affairs, Gilangharb, Kermanshah, Iran. The study sample size was determined according to Krejcie and Morgan formula and the subjects were selected through random sampling. The study data were collected using marriage compatibility questionnaire, illogical thoughts questionnaire, and dependence on others questionnaire. The study data were analyzed using the SPSS statistical software (version18). Pearson correlation coefficient, multiple regression, and t-test were used in order to determine the relationships among the variables and compare the means. RESULTS: The findings of the current study revealed no significant relationship between dependence on others, anxious attention, helplessness, avoiding problems, perfectionism, and autonomy and marriage compatibility. However, a significant relationship was found between failure and marriage compatibility. DISCUSSION: Overall, the findings of the present study showed that the veterans of Gilangharb did not have disorders, but depended on others, particularly their spouses, due to their abnormal physical status. Sometimes, they cannot even do their personal tasks which results in their dependence on others eventually putting the veterans under pressure and stress.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".