A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model.

BACKGROUND: Genital wart (GW) is known as an infectious disease. Besides the infection, it is associated with a higher risk of cervical neoplasia and cancer in the infected population. The present research aimed to explore the predictors of GW preventive behaviors based on the health belief model (HBM). METHODS: The present analytical and cross-sectional research was conducted in 2019 among 720 women between 15 and 49 years of age in Bandar Abbas in the south of Iran. The sample was selected in a multi-stratified clustering method. The participants responded to a reliable and valid researcher-made questionnaire which explored demographic information, knowledge-related items and the model constructs. A multivariate linear regression analysis was run to determine the predictors of adopting GW preventive behaviors. A path analysis was also run to test the direct and indirect effects of the model constructs on the dependent variable. RESULTS: The mean and standard deviation of participants' age was 30.43 ± 8.697 years. As Pearson's correlation coefficients showed, knowledge (r = 0.197, p < 0.001), perceived susceptibility (r = 0.434, p < 0.001), severity (r = 0.463, p < 0.001) and self-efficacy (r = 0.434, p < 0.001) were significantly correlated with the adoption of GWs preventive behaviors. Multiple linear regression analysis showed that self-efficacy (B = - 0.010, p < 0.001), perceived susceptibility (B = 0.070, p < 0.001) and severity (B = 0.078, p < 0.001) were the predictors of GW preventive behaviors. Path analysis showed that perceived susceptibility, severity and self-efficacy directly affected healthy behaviors while perceived benefits and barriers indirectly affected the preventive behaviors. CONCLUSIONS: The present findings help to promote knowledge of the predictors of GW preventive behaviors. HBM can be a useful theoretical framework to evaluate the preventive behavior of the disease and help to reduce the rate of sexually-transmitted infections including GW.

Maternal predictive factors for preterm birth: A case-control study in Southern Iran.

BACKGROUND: Preterm birth (PTB) is one of the most important factors that increase the risk of chronic diseases and postpartum death in infants. The aim of this study was to determine the maternal factors that affect the birth of preterm infants in the city of Bandar Abbas. MATERIALS AND METHODS: This is a case-control study that was performed on 400 preterm infants. Sampling was done by a simple method, and information was gathered by interviewing the mothers and their medical records. Data were collected by SPSS software version 16. To compare risk factors in the two groups, conditional logistic regression was used, and P < 0.05 was considered statistically significant. RESULTS: Results showed that factors such as type of delivery (odds ratio [OR] = 3.584, 95% confidence interval [CI]: 1.981-6.485), preeclampsia (OR = 2.688, 95% CI: 1.164-6.207), history of PTB (OR = 4.171, 95% CI: 1.483-11.728), premature rupture of membranes (OR = 3.273, 95% CI: 1.745-6.137), care during prenatal (OR = 0.334, 95% CI: 0.159-0.701), placental abruption (OR = 3.209, 95% CI: 1.209-8.519), placenta previa (OR = 9.333, 95% CI: 2.086-41.770), and cervical insufficiency (OR = 11, 95% CI: 1.381-87.641) were independent risk factors of preterm infant birth. CONCLUSIONS: The PTB risk is higher for women with cervical insufficiency, history of placenta previa, and history of preterm. Early recognition and management of these high-risk conditions among pregnant women may lead to a reduction in PTB rates.