Relationship between Marital Satisfaction and Mental Health of Married Women Referring to Health Centers in Sanandaj, Iran in 2014
Bibliographic record
Abstract
BACKGROUND: As the most splendid social custom to attain security and emotional needs of adults, marriage has always won the approval of the community as a whole. In this regard, the endeavors of couples to preserve their relationships and achieve higher levels of marital satisfaction have been of great significance. As a component of personal characteristics, mental health has always been associated with marital satisfaction. This study investigated the relationship between marital satisfaction and mental health of married women referred to health centers in Sanandaj, Iran in 2014.METHODS: This was a cross-sectional study conducted on 393 women referring to the health centers in Sanandaj, Iran who were selected randomly in 2014. Data collection tool were ENRICH Marital Satisfaction Questionnaire and General Health Questionnaire (GHQ-28), which was completed by the participants in the study. Data were analyzed using SPSS version 16, descriptive, and analytical statistics.RESULTS: The results indicated that most of the patients were between 35-26 years, did not complete secondary school, were housewives, had only one child, and were married for 10 years. Most of the participants enjoyed marital satisfaction and had good mental health. There was a significant relationship between mental health and marital satisfaction (p<0.001). In terms of mental health, depression and marital satisfaction had the most significant negative correlation (p<0.001). However, there were no statistically significant relationship between female’s education and their employment with marital satisfaction and mental health.CONCLUSION: According to the findings of our study, in terms of the relationship between mental health and marital satisfaction, solving marital problems and increasing couples’ satisfaction can lead to the promotion of their mental health, leading to the increase in the health status of families and society a whole; hence, the significant role of family counseling centers.
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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 | 0.002 |
| 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 | 0.000 | 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".