Saeed Keshmiri, Amir Hossain Darabi, Rahim Tahmasebi, Katayoun Vahdat, Azita Noroozi,
Volume 27, Issue 2 (7-2021)
Abstract
Background & Aim: Considering the importance of COVID-19 vaccine acceptance to end the corona disease pandemic, the study was conducted to determine the factors affecting the vaccine acceptance based on the behavioral change wheel mode and its components (capability, opportunity, and motivation).
Methods & Materials: In this cross-sectional study, 1102 adults aged 18 years and older living in Bushehr province were selected by multi-stage sampling method from February 16 to 28, 2021. To collect the data, a questionnaire including demographic characteristics, questions on the constructs related to the behavioral change wheel model components and questions on the COVID-19 vaccine acceptance was completed on WhatsApp platform. Data was analyzed using the SPSS software version 22.
Results: The results of the study showed that most participants tended to receive the Iranian vaccine (726 people or 65.9%). Among the demographic factors, only gender was associated with vaccination, and men were more likely to accept to be vaccinated (P=0.022). Among the model constructs, the most predictive construct was related to social support in the opportunity component (P<0.001, β=0.55 and B=0.183). In the motivation component, social role (P<0.001 and β=0.118 and B=0.162) and in the capability component, behavioral regulation (P<0.001 and β=0.152 and B=0.155) had the highest predictor of vaccine acceptance. In general, constructs of opportunity component had the greatest impact on vaccine acceptance.
Conclusion: In order to increase the acceptance of COVID-19 vaccination, opportunities should be provided through social support, vaccination should be introduced as a social role, and behavioral regulation, in other words, understanding of the ability to vaccinate to prevent the disease and break the disease transmission chain should be promoted.
Fatemeh Darabi, Mina Maheri,
Volume 28, Issue 2 (6-2022)
Abstract
Background & Aim: Identifying the factors affecting the quality of life in postmenopausal women will help to design and implement the quality of life-improving interventions tailored to these women’s needs. This study aimed to determine the relationship between the educational phase of the PRECEDE model and the quality of life among postmenopausal women.
Methods & Materials: The present cross-sectional study was conducted on 240 postmenopausal women in Asadabad in 2021. The data collection tool included demographic information, the menopause-specific quality of Life questionnaire (MENQOL), and a questionnaire based on educational phase constructs of the PRECEDE model about menopause and behaviors related to the control of menopause complications. Data were analyzed using the SPSS software version 16.
Results: The mean score of quality of life in the women was 72.72±23.15. Perceived self-efficacy (β=-0.367, P<0.001) and attitude (β=-0.155, P=0.009) were significant predictors of quality of life. The educational phase constructs of the PRECEDE model explained about 33.6% of the variance of quality of life among the postmenopausal women in Asadabad.
Conclusion: Educational phase constructs of the PRECEDE model are useful for identifying the factors affecting the quality of life in postmenopausal women, and designing educational interventions in this area. It is recommended promoting self-efficacy (to perform behaviors related to the control of menopause complications) and improving attitude toward menopause to be integrated into all educational interventions designed and implemented to improve the quality of life in postmenopausal women.
