Prevalence of Domestic Violence against Women and Its Visibility in Southeast Iran.

Background: We aimed to estimate the prevalence of domestic violence against women at Reproductive Age (WARA) and its visibility in southeast of Iran. Methods: Adopting a modified time-location sampling, we recruited 933 WARA in the city of Kerman, Iran from Aug to Dec 2019. Domestic violence (DV) was divided into three main categories: Physical, psychological, and sexual. Data were obtained by direct and Network Scale-Up (NSU) methods through self-administered questionnaires. Generalized Estimating Equations (GEE) was used to determine the association between socioeconomic variables and the violence experience. Visibility was defined as the ratio of NSU over direct estimates. Results: Using the direct method, the annual prevalence of psychological violence was estimated at 60.9%. Corresponding figures for physical and sexual violence were 34.7% and 37.7%, respectively. NSU estimates were about one-third of the direct estimates. Divorced and widowed, self-employed, and less educated women were more likely to experience DV. Conclusion: While the average DV was as high as 44%, its visibility was as low as 33%. Nearly two-thirds of domestic violence against women remains undisclosed. This indicates a high level of stigma perceived around this type of violence.

Associated factors of pregnancy spacing among women of reproductive age Group in South of Iran: cross-sectional study.

BACKGROUND: Optimal pregnancy spacing is an important incidence in reproductive women's health. Short or long pregnancy spacing leads to the greatest health, social and economic problems such as increase in maternal and infant mortality and morbidity, and adverse pregnancy outcomes. The aim of this study is to assess the mean of pregnancy spacing and associated factors of pregnancy spacing among women of reproductive age group with recurrent event analysis. METHODS: The fertility history of 1350 women aged 15-49 years was collected in this cross-sectional study. The women were selected through multistage random sampling method from a list of clinics in 2018. Some predictors were collected from their records and others were collected by face-to-face interview. The recurrent event survival analysis was used to explore the effect of predictors on pregnancy spacing. The R software program was used for analysis. RESULTS: There were nine predictors that had significant effect on pregnancy spacing. These predictors included the age of mother at marriage, mother's BMI, contraception use, breast feeding duration of the previous child, the education level of husband, the sex preference of the mother, presence of abortion or stillbirth in the preceding pregnancies, income sufficiency, and mother's awareness of optimum pregnancy interval. The most influential predictors; contraception use (HR = 2.34, 95%CI = 1.23 to 2.76, P < 0.001) and income sufficiency (HR = 2.046, 95%CI = 1.61 to 3.02, P = 0.018) lead to longer and son preference of mother (HR = 2.231, 95%CI = 1.24 to 2.81, P = 0.023) lead to shorter pregnancy spacing. CONCLUSION: The up to date contraception tool should be at hand for couples to manage their pregnancy intervals. The unfavorable economic situation of a family leads to long pregnancy spacing. Despite the relative equality of the status of girls and boys in today's societies, the desire to have a son child is still an important factor in shorter pregnancy spacing. The benefit of optimal pregnancy spacing should be more announced.