Search

Background:  Maternal health literacy (MHL) and health information-seeking behavior (HISB) could impact maternal health and pregnancy outcomes. Purpose and Research Design:  This cross-sectional study investigated MHL, HISBs, and pregnancy outcomes in Iranian pregnant women. This study was also aimed to determine the predictors of MHL and pregnancy outcomes. Study smple and   Data Collection : In this study, 337 randomly selected postpartum women completed three questionnaires, including a demographics form, an obstetrics history checklist, and the Maternal Health Literacy and Pregnancy Outcome Questionnaire (MHLAPQ). Results:  The mean MHL and pregnancy outcome scores were 60.80 ± 9.91 and 49.88 ± 5.69, respectively. Of the participants, 56% adopted both formal and informal HISB. Education and internet HISB was associated with the odds of being in the group with higher MHL. Participants with high MHL had more than twice higher odds for better pregnancy outcomes (OR = 2.25,  p  < 0.004). Conclusions:  Continued efforts are required to make health information sources more accessible to pregnant women to improve their health literacy and pregnancy outcomes.

Background: To effectively manage sexual health, people must have access to sexual health services. A small percentage of women with sexual concerns seek professional help. Hence, the need to explain the help-seeking challenges is felt from the perspective of women and health care providers., Methods: This study explored Iranian women's challenges when seeking help for sexual concerns. Using a purposive sampling method, 26 in-depth interviews were conducted in Rasht in 2019-2020. The participants included sexually active women of reproductive age over 18 years old and 8 health care providers. The recorded interviews were transcribed and analyzed through content analysis., Results: From the description of 17 subthemes provided by the participants, two main themes were achieved, "Unfavorable sexuality development context" and "Inefficient sexual health services.", Conclusions: According to the results, it is suggested that policymakers pay more attention to the challenges women and health care providers face in help-seeking and promote sexuality education and sexual health services to achieve a higher level of help-seeking among women., (© 2023. The Author(s).)

Delay in help-seeking for sexual health issues may lead to relationship discord and impact the quality of life. The study aimed to explore the factors related to HSBs (help seeking behaviors) for sexual health issues and to determine the role of negative attitudes relating to sexual concerns in the HSBs of Iranian women. This cross-sectional study was performed in 2020. Participants were 390 randomly selected women from Rasht, Iran. The data were collected using a demographic and a sexual history checklist, the Female Sexual Function Index-6-item (FSFI-6), the Attitudes-related Sexual Concern Scale (ASCS), and a help-seeking behavior questionnaire. Formal help-seeking in women with sexual concern was 16.2% and 48.6% engaged informal HSB. Informal HSB was associated with younger age (OR = 0.93; CI = 0.89-0.97), having a university degree (OR = 3.42; CI = 1.89-6.18), sexual abuse in adulthood (OR = 2.59; CI = 1.07-6.26) and lower negative attitudes-related sexual concerns (OR = 0.53; CI = 0.32-0.87). Formal HSB was related to having a university degree (OR = 3.03; CI = 1.32-6.98) and history of a chronic disease (OR = 3.43; CI = 1.68-6.98). Negative attitudes relating to sexual concerns greatly impact informal HSBs of women, so it should be considered in their health care programming.

Global solar radiation is the total amount of solar energy received on a horizontal surface and defined as the sum of direct, diffused, and reflected solar radiation. Global solar radiation is an important variable in agricultural, meteorological, hydrological, and climatological studies. The purpose of this paper is to develop an effective method to estimate the daily global solar radiation using different atmospheric properties detected from satellite data, including cloud fraction, cloud optical depth, aerosol optical depth, aerosol exponent, aerosol index, and precipitable water vapor from Moderate Resolution Imaging Spectroradiometer (MODIS) and ozone monitoring instrument (OMI) daytime data in the urban area of Mashhad, Iran, during the years from 2000 to 2018. Based on seven combinations of the atmospheric properties, models were developed using a standard statistical method, namely, multiple linear regression method and a specific class of artificial neural networks, namely, feedforward multilayer perceptron. The efficiency of the models was compared for the assessment of the daily global solar radiation based on the combinations of the input data. For both methods, 80% percent of the data are used for model development and the remaining data for validation. Results of pairwise statistics indicate that, on average, the estimates were more accurate using the artificial neural networks than the regression method. Results show that in both methods, the accuracy of estimation improves when cloud fraction is used as a predictor. This implies the significant effect of cloud cover on solar radiation. However, using the cloud optical depth decreases the accuracy of the estimation of global solar radiation, i.e., the least accurate model is the one with cloud fraction and cloud optical depth for the neural network method and the model with CF and AE for the regression method. The estimation error comes from the inaccuracy in measuring cloud optical depth that depends on satellite sensor resolution and the inhomogeneity of types and microphysical properties of clouds over the study area. Due to the arid climate of the study area, the precipitable water vapor content does not considerably affect radiation attenuation. The best estimate is earned by cloud fraction and aerosol index as inputs indicating the simultaneous role of aerosol and cloud in global solar radiation. Aerosol index considers the effect of absorbing aerosols such as black carbon and dust and is a complementary information to the cloud cover. The results imply that both methods have the potential to achieve an operational stage, taking advantage of the better availability of satellite data. Even though the artificial neural network is found to be more accurate than multiple linear regression, using the regression method is recommended because it is more easy to use. Results show that the effective variables vary in different seasons. In both methods, estimation error is highest in the spring and lowest in the fall and winter. The high inaccuracy may be due to the high sensitivity of radiative transfer to atmospheric condition in spring. On the other hand, the high accuracy may be caused by the less solar radiation fluctuations during fall and winter because of the lower solar radiation flux.

Background: Infertility is a significant psychological stressor among infertile couples. Aggressive behaviour such as domestic violence may be the consequence of this situation., Aims: To determine the relationship between domestic violence and infertility and its associated factors., Methods: This unmatched case-control study was conducted on 400 women who were referred to Al-Zahra teaching Hospital in Rasht, Islamic Republic of Iran, from May to December 2015. The data were collected by WHO Domestic violence questionnaire, which was validated in the Islamic Republic of Iran. Data were analyzed by using descriptive and analytical statistic (Chi square, t test, and logistic regression)., Results: Out of the 200 infertile women 136 (68%) reported a history of physical violence, 120 (60%) had experienced sexual violence and 140 (70%) had psychological violence. There was a significant relationship between infertility and physical, sexual and psychological violence (P < 0.05). Logistic regression analysis revealed that the education level of women [OR= 0.176, 95% CI (0.070-0.446)], unemployment husband [OR=15.83, 95% CI (1.307-191.977)] and infertility [OR= 0.133, 95% CI (0.057-0.31)] were associated with domestic violence (P < 0.05)., Conclusions: In this study there was a relationship between infertility and physical, sexual and psychological violence and infertile women were more likely to encounter domestic violence. Screening for domestic violence is necessary for infertile couples., (Copyright © World Health Organization (WHO) 2019. Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO license (https://creativecommons.org/licenses/by-nc-sa/3.0/igo).)