The Prevalence of Violence Against Iranian Women and Its Related Factors
Bibliographic record
Abstract
BACKGROUND: Domestic violence against women is a public health problem with negative consequences, and it is an intractable and widespread problem. This type of violence affects the stability of the family. AIM: The aim of this study was to estimate the prevalence of any violence against women referring to health centers and explore the associated risk factors with violence in Ahvaz, Iran. METHODS: A cross-sectional study was conducted on randomly chosen samples of 368 married women aged between 15-55 years in 2013. The samples were divided to two groups, with abused experience and without abused experience. The data were amassed by questionnaire form. RESULTS: The prevalence of violence against women was found to be around 63.8%, among them 58.8% were emotional abuse. The majority of women (84%) had never gone to a counseling center. Findings show 47% of women were silent, 27% got in a fight, 7% screamed, 6% abused their children, and 5% threw things when occurred violence against them. Experience of violence in women correlated with the marriage age of woman, numbers of children, and difference of marriage age between couple, marriage age of men, employed women, uneducated women and the rate of drugs use in their husbands. CONCLUSIONS: Nurses and other health care providers can and should play a major role in empowering women living with violence and promote education, social policies and attitudes that proactively prevent violence.
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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 | 0.009 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".