Ahmad Ali Noorbala, Hossein Malek Afzali, Nasrin Abedinia, Marzieh Akhbari, Alireza Moravveji, Fatemeh Vaseghi, Zahra Nakhi, Mamak Shariat, Maryam Mirzaeeneyestani, Fatemeh Sadat Ghoreishi,
Volume 16, Issue 3 (12-2018)
Abstract
Background and Aim: Stress during pregnancy can have a lasting effect on the mental health of women after childbirth. Statistics show that about 18% of pregnant women have major or partial depression during pregnancy, but many have not been screened or treated. Lack of treatment can have serious consequences for the mother and her child. The purpose of this study was to determine the mental health status and marital satisfaction of pregnant mothers in Kashan city, Iran in 2015.
Materials and Methods: This was an analytical cross-sectional study. Using the convenience sampling method 202 pregnant women were selected from four urban health centers in Kashan, Iran and entered the study. Data were collected using a Diagnostic Interview, the General Health-28 Questionnaire and the Golombok Rust Inventory of Marital State. Descriptive statistics was used for data analysis, the statistical tests being one-way ANOVA, chi-square test, Pearson correlation test and logistic regression.
Results: The results showed that 26.7% of the pregnant women were suffering from psychiatric disorders, the most and least serious disorders being related to physical activity and depression, respectively. About 80% of the women expressed very good marital satisfaction. Further analysis of the data showed statistically significant associations between depression and age and anxiety, insomnia and duration of marriage, marital satisfaction and delivery type, and mental health and marital satisfaction. Furthermore, marital satisfaction had a negative association with education. (p<0.05).
Conclusion: It seems that it is essential to develop and implement a therapeutic, psychiatric and health care model for women at risk of psychiatric disorders during pregnancy and after childbirth in the health service delivery system in Iran.
Leila Mohamadi, Azam Rastgoo, Asghar Nakhostin, Nooraldeen Mirzaee, Saeid Mazbouhi,
Volume 20, Issue 2 (9-2022)
Abstract
Background and Aim: The objective of this research was to identify the components of electronic foundation data theory teaching and learning in the workplace.
Materials and Methods: This research was conducted using qualitative content analysis with a conventional content analysis approach. The statistical population was comprised of two groups: 1.Three sources of information (a sample of 26 out of 317 textbooks, scientific articles and theses/dissertations) selected by judgment sampling; 2. Relevant specialists and experts (a sample of 22) selected according to the theoretical saturation technic. The methods and tools used to collect data and information included archival surveys and field studies (interviews and questionnaires).
Results: For the primary coding, 644 categories were identified and converted into 45 secondary categories based on common conceptual aspects, which were finally became nine (9) main themes in the axial coding phase; these themes were used to build the thematic network.
Conclusion: The research model shows that the following nine categories are involved in electronic teaching and learning in the workplace: 1). organization and management; 2). information and contents; 3). interaction and communication; 4). characteristics of the person who teaches; 5). effectiveness; 6). technical quality; 7). learning objectives; 8). learning requirements, and 9). electronic education dimensions.
