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Abstract The present study sought to examine the association between depression and anxiety with health-related quality of life (HRQoL) among clinical and non-clinical medical students. This study was conducted on newly entrance students (2019 and 2020) in Neyshabur University of Medical Science (NUMS). 471 students participated in this cross-sectional study. The Beck Depression (BDI-II), Anxiety Inventory (BAI), and SF-12 questionnaires were used. To assess the correlation between depression, anxiety, and HRQoL, the Pearson correlation was used. The independent t-test was performed to evaluate the association among different variables with HRQoL. Further, a multiple linear regression model was used to control the confounding effects of the covariates. The mean age of the study population was 21.9 (SD = 6.1), majority of them were female (62.4%). More than 21% and about 32% of students had mild to severe levels of depression and anxiety, respectively. According to correlation analysis (Pearson’s r), the correlations between depression, anxiety, and total HRQoL were relatively strong and negative. The multiple linear regression model revealed a statistically significant association between depression and anxiety with different subscales, components, and total HRQoL (p

Background and Objective As the quantity of sleep can influence our mental health, this study examined the association of sleep duration with depression and anxiety in freshman students of Neyshabur University of Medical Sciences (NUMS). Methods This study was conducted on 471 freshman students who enrolled at NUMS in the academic years of 2019 and 2020. Data collection and evaluation of sleep duration, depression, and anxiety were done using the Persian versions of the Pittsburgh Sleep Quality Index, Beck Depression Inventory-II, and Beck Anxiety Inventory. The association between sleep duration with depression and anxiety was analyzed using the multinomial logistic regression models. Results The prevalence of inadequate and excessive sleep duration in the participants was 41.8% and 6.4%, respectively. More than 20% of the students reported depression (mild = 10.2%, moderate = 7.0%, and severe = 4.2%), and approximately one-third reported anxiety (mild = 20.6%, moderate = 7.9%, and severe = 3.4%). The analytical results showed that the odds of moderate and severe depression in individuals with inadequate sleep were three times higher compared to the individuals with adequate sleep (p < 0.05). Further, the odds of moderate anxiety in individuals with inadequate sleep was relatively three times higher compared to individuals with adequate sleep (p < 0.05). Conclusions Inadequate sleep predisposes students to mental disorders such as depression and anxiety. Therefore, policymakers and educators should develop psychological interventions to prevent anxiety and depression in students and help students live a healthy lifestyle such as improving sleep.

Background and Aim. As an integral matter at the global level, sleep quality can be pertinent to some factors, namely, depression and anxiety. Considering this critical issue and its effects and consequences, the current cross-sectional study has centralized its aim on assessing the association between depression and anxiety with sleep quality in freshmen students in the context of Neyshabur University of Medical Sciences (NUMS). Methods. A total number of 471 freshmen students (NUMS) participated in the study, pinpointing that the data are collected in 2019 and 2020. In line with measuring depression, anxiety, and sleep quality, the Persian Beck Depression Inventory-II, Beck Anxiety Inventory, and Pittsburgh Sleep Quality Index were employed. The associations between depression and anxiety with sleep quality were assessed by using the multiple logistic regression model. All statistical analyses were conducted in STATA14, and the significant level was set at P

Background and Objective Sleep duration and quality are important factors for health-related quality of life (HRQoL). This study aimed at investigating the association of sleep duration and quality with HRQoL in fresher students of Neyshabur University of Medical Sciences. Methods The study included 471 fresher students. The sleep duration and sleep quality were measured with the Persian version of Pittsburgh Sleep Quality Index (PSQI) and the HRQoL was evaluated with the Persian version of the 12-Item Short Form Survey (SF-12). The data were collected from late September to early October in 2019 and 2020. The multiple linear regression model was used to determine the independent association of sleep duration and quality with HRQoL. A p-value ≤ 0.05 was considered statistically significant. Results The mean age of the participants was 21.8 ± 6.0 years and the majority of them (62.4%) were female. The total HRQoL score and the prevalence of poor sleep quality were 81.6% and 28.0%, respectively. Among the students, 51.8% and 6.4% reported a sleep duration shorter than 7 hours and equal or more than 9 hours, respectively. The multiple linear regression model showed that excessive sleep duration (≥ 9 h) and sleep quality were associated with Mental Component Summary (MCS) and total HRQoL, respectively (p = 0.036, p = 0.018). Conclusions Referring to the results, enough and quality sleep has beneficial effects on HRQoL in students. Therefore, future strategies should be developed to improve sleep and consequently HRQoL among university students.