Relationship between General Health Indices and Sexual Dysfunction in Women Experiencing Spousal Abuse
Bibliographic record
Abstract
BACKGROUND: Sexual behavior is among the complex dimensions of humans. Various factors are effective in sexual function. Sexual dysfunction affects people's mental health. OBJECTIVES: The present study aims to determine the relationship between general health indices and sexual dysfunction among the women referring to Shiraz Forensic Medicine Center, Iran. METHODS: This cross-sectional, descriptive-analytical study was conducted on 197 women experiencing spousal abuse who had referred to Shiraz Forensic Medicine Center in 2014. The data were collected using demographic information questionnaire, a questionnaire assessing violence against women, general health questionnaire (GHQ-28), and female sexual function index (FSFI). The data were entered into SPSS statistical software and analyzed using t-test, Chi-square test, Pearson's correlation coefficient, and regression analysis. RESULTS: Based on the results, 91.9% of the participants had sexual dysfunction and 85.3% had mental disorders. Besides, a significant relationship was found between sexual dysfunction and somatic symptoms (P=0.027), anxiety and insomnia (P=0.004), as well as overall general health (P=0.041). Also, the results of Pearson's correlation test revealed significant associations between various dimensions of sexual dysfunction and general health. CONCLUSION: According to the results, physical and mental health seems to play a critical role in determining sexual dysfunction. Thus, the identification and treatment of physical and mental disorders are recommended for the patients suffering from sexual dysfunction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".