Purpose Students’ academic achievement is a multifaceted phenomenon. While depression can suppress academic performance, academic satisfaction can promote it. This study aims to investigate the relationship between depression and academic satisfaction among students studying at Shahroud University of Medical Sciences. Design/methodology/approach This cross-sectional study was carried out on 312 undergraduate students of Shahroud University of Medical Sciences. Data collection tools included demographic data form, University Student Depression Inventory and academic satisfaction scale. Data were collected by a simple random sampling method and self-reporting by the participants. Data were analyzed using descriptive and inferential statistics (multivariate multiple regression analysis and multivariate linear regression). Findings The participants’ mean depression and academic satisfaction scores were 71.92 ± 22.94 and 53.70 ± 9.69, respectively. In addition, the depression score was significantly and inversely correlated with students' academic satisfaction (r = −0.122, p-value = 0.031). Moreover, there was a significant correlation between students’ depression with marital status, level of the semester, interest in the field of study and study topic. Research limitations/implications This study emphasizes improving education, spiritual and social support and strengthens strategies to deal with depression and medical science students’ related factors. Originality/value Students of medical sciences are exposed to depression during their college years, which is related to their academic satisfaction.
Introduction: The worldwide emergence of COVID-19 has been associated with diverse consequences, including anxiety. Hope is believed to act as a motivation to enable one to cope with the anxiety. This study was conducted to identify the role of hope in alleviating anxiety due to the COVID-19 outbreak during the primary phase among community dwellers in Iran. Methods: This cross-sectional study recruited 3,565 subjects with the convenience sampling method. Data collection tools used included the COVID-19 knowledge checklist, Generalised Anxiety Disorder (GAD-7) questionnaires and Snyder Hope Scale. Participants were asked to fill in the questionnaires online. The data were analysed using descriptive and inferential statistics (multivariate linear regression analysis). Results: Participants’ mean scores of anxiety and hope were 6.06±4.52 and 31.27±4.52, respectively. The results indicated that 27.1% of the changes in the anxiety scores were predictable with some of the variables examined in this study. A high score of hope was directly associated with a lower level of anxiety. In addition, the number of hours spent following news and information on COVID-19 was significantly related to anxiety level. Moreover, female gender, urban residence, and having relatives suffering from COVID-19 were significantly related to a higher level of anxiety (P<0.05). Conclusion: The morbidity and mortality associated with the COVID-19 outbreak had brought a lot of anxiety among community dwellers. Hope, potentially, can contribute to overcoming anxiety. Therefore, health policymakers can introduce appropriate social interventions to enable the community to cope with stress and anxiety. Keywords: Generalised anxiety disorder, hope, mental health, pandemic
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.