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Showing 2 results for Structural Equation Modeling

Fatemeh Amiri, Rasoul Najafi,
Volume 23, Issue 3 (8-2020)
Abstract

Background and Aim: Fertility pattern is one of the most important determinants of population fluctuations. Various individual and social factors affect this pattern. This study aimed to determine the factors affecting the fertility pattern using the structural equation model.
Methods & Materials: In this cross-sectional study, 384 women were randomly selected from married women of childbearing age who referred to Taleghani, Valiasr, and Amir Al-Momenin hospitals in Arak as patients. After obtaining verbal consent to participate in the study, a researcher-made and valid questionnaire was completed for them. Structural equation modeling was used to measure the effect of important individual and social variables on fertility patterns. Data analysis and analysis were performed with AMOUS software version 11 and SPSS V. 22.
Ethical Considerations: This study was registered with the ethics code IR.ARAKMU.REC.1396.4 by the Research Ethics Committee of Arak University of Medical Sciences.
Results: The Mean±SD age of the participants in the study was 40.03±11.19. The variables affecting the fertility pattern using the structural equation model included, respectively, the type of individual exercise, the method of contraception, the type of infertility treatment, and the duration of use of the contraceptive method.
Conclusion: The results showed that physical activity, contraceptive method, and duration of use of this method and the type of infertility treatment were related to fertility pattern. By recognizing the factors affecting the fertility pattern and increasing the awareness of young couples, it is possible to help improve the fertility pattern.
Maliheh Rahmani, Zahra Zanjani, Abdollah Omidi,
Volume 25, Issue 1 (3-2022)
Abstract

Background and Aim Various research studies have investigated the relationship between anxiety and worry. The present study aimed to examine the mediating role of cognitive emotion regulation and mindfulness in the relationship between anxiety and worry.
Methods & Materials The present study follows a correlational design study. The research sample included 248 students of Kashan universities in Iran studying in the 2017-2018 academic year. The study data were collected using the generalized anxiety disorder (GAD-7), Pennsylvania state worry questionnaire (PSWQ), the Persian short form of cognitive emotion regulation questionnaire (CERQ-P-short form), and five-factor mindfulness questionnaire (FFMQ). Then, the obtained data were analyzed using the SPSS v. 22 and AMOS v. 22 software.
Ethical Considerations The Ethics Committee of Kashan University of Medical Sciences approved the study (Code: IR.KAUMS.REC.1396.36).
Results The results showed a significant relationship between generalized anxiety and worry, worry and cognitive emotion regulation, worry and mindfulness, generalized anxiety and cognitive emotion regulation, and anxiety and mindfulness. The results of the structural equation modeling confirmed the mediating role of cognitive emotion regulation in the relationship between anxiety and worry. Also, the path coefficient of mindfulness and anxiety was removed from the model because it was not significant.
Conclusion Generally, cognitive emotion regulation plays a mediating role in the relationship between anxiety and worry. These findings seem applicable in the individual, family, educational, therapeutic, and interpersonal mental health fields.


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