Relationship between the Family of Origin Health and Marital Satisfaction among Women in Bentolhoda Hospital of Bojnurd: A Study in the North East of Iran
Bibliographic record
Abstract
Background: Many factors affect marital satisfaction as one of the determinants of mental health, and may even lead to marital dissatisfaction. Objectives: This study aimed to determine the relationship between the health of the family of origin and marital satisfaction and its components among women in Bojnurd, Khorasan, Iran. Methods: In this descriptive correlational study, 218 women who met the inclusion criteria referred to Bentolhoda Hospital in Bojnurd as inpatients or outpatients. They were selected using the convenience sampling method from January to April 2015. The data collection tools were the Family of Origin Health Scale (FOS) and Marital Satisfaction Index (MSI). Data analysis was performed using chi-square, t-test, Pearson correlation coefficient, and multiple linear regression at p=0.05 with SPSS software version 16. Results: The study participants’ mean age and duration of marriage were 31.40±8.90 and 11.10±9.30 years, respectively. The coefficient of correlation between FOS (136.52±26.93) and MSI (58.73±34.20) was negative, and their relationship was statistically significant (r=-0.365, p<0.001). There was a statistically significant difference between the mean scores of MSI for individuals who had no familiarity and the family's income before the marriage (p<0.001, p<0.007), respectively. Conclusion: Given the undesirable level of marital satisfaction and the existence of problems in family relationships as one of the factors affecting FOS and MSI in this study, as well as the multifactorial nature of marital satisfaction, further multifactorial studies are recommended to determine the factors influencing marital satisfaction to improve this variable.
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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 | 0.001 |
| 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".