Sleep quality, chronotype, temperament and bipolar features as predictors of depressive symptoms among medical students

2017 ◽  
Vol 34 (6) ◽  
pp. 708-720 ◽  
Author(s):  
Łukasz Mokros ◽  
Andrzej Witusik ◽  
Julia Michalska ◽  
Wojciech Łężak ◽  
Michał Panek ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

Internet Addiction, Sleep Quality and Depressive Symptoms Amongst Medical Students in Delhi, India

2020 ◽  
Author(s):  
Raghav Gupta ◽  
Neha Taneja ◽  
Tanu Anand ◽  
Anupama Gupta ◽  
Rajesh Gupta ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction

scholarly journals Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

2022 ◽  
Vol 12 ◽  
Author(s):  
Xiansheng Guo ◽  
Tiehong Su ◽  
Haoran Xiao ◽  
Rong Xiao ◽  
Zhongju Xiao
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Correlation Analysis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
The Relationship

There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation.

scholarly journals Depressive Symptoms, Sleep Quality and Diet During the 2019 Novel Coronavirus Epidemic in China: A Survey of Medical Students

2021 ◽  
Vol 8 ◽  
Author(s):  
Jianping Xie ◽  
Xia Li ◽  
Haiyun Luo ◽  
Liu He ◽  
Yufan Bai ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Negative Impact ◽  
Fifth Grade ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Poor Diet ◽  
Novel Coronavirus

The psychological condition of medical students may be influenced by the 2019 novel coronavirus (COVID-19) outbreak. This study investigated the prevalence and influencing factors of depressive symptoms, poor sleep quality and poor diet in students at Kunming Medical University during the early part of the COVID-19 outbreak. A cross-sectional study was used from a questionnaire survey in February 2020. Of a total of 1,026 study participants, the prevalence of depressive symptoms, poor sleep quality, and poor diet was, respectively, 22.4, 33.2, and 17.4%. Male students and students with a low degree of focus on COVID-19 had a high risk of depressive symptoms. A high percentage of females and students in the fifth grade, as well as students with high levels of concern about the negative impact of COVID-19 on their education or employment, comprised those with poor sleep quality. Students in the fifth grade and students with high levels of concern about the negative impact of COVID-19 on their education or employment were more likely to report poor diet. This study suggests the importance of monitoring medical students' depressive state during the COVID-19 outbreak, and universities are encouraged to institute policies and programs to provide educational counseling and psychological support to help students to cope with these problems.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

Depressive Symptoms and Burnout Among Medical Students: a Prospective Study

2021 ◽  
Author(s):  
Padmini D. Ranasinghe ◽  
Jocelynn T. Owusu ◽  
Amanda Bertram ◽  
Henry Michtalik ◽  
Hsin-Chieh Yeh ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Medical Students ◽  
Prospective Study ◽  
A Prospective Study

scholarly journals Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

scholarly journals 696 Quality of sleep is the only predictor of suicide during Covid-19 lockdown in University students?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A272-A272
Author(s):  
Alessandra Castelnuovo ◽  
Samantha Mombelli ◽  
Daniela Bottoni ◽  
Antonella Somma ◽  
Andrea Fossati ◽  
...  
Keyword(s):  
Medical Students ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Social Stress ◽  
Depression Symptoms ◽  
Daily Routine ◽  
Quality Of Sleep ◽  
Suicidal Thoughts

Abstract Introduction COVID-19 epidemic led to great psychological and social stress, related to anxiety, depression, sleep disorders, suicidal risk and behavior, and changes in daily routine. The aim of this study was to assess the psychological impact of COVID-19 lockdown in Italian students. We focused on perceived sleep quality, anxiety and depression symptoms, and mostly on risk of suicide. Methods A total of 307 students (mean age 22.84±2.68) completed Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II). In our study, we focused on item 9 of BDI-II, that is related to suicide. We divided our sample on presence or absence of suicidal ideation based on this item. Results We found that 30.1% showed depressive, while 38.2% anxious symptoms. Concerning item 9 of BDI-II (suicidal thoughts or wishes), 84.7% answered that they do not have any thoughts of killing themselves, while 15.3% answered that they have some suicidal ideation. Concerning sleep variables, we found that 58% of our sample showed a PSQI total score higher than 5 (poor quality of sleep), and a global worsening in sleep quality and increase of insomnia both in student with and without suicidal ideation. Conclusion Our results on risk of suicide are in line with literature. Recent reviews focused on suicidal ideation in medical students found that depressive symptoms and suicidal ideation are common among medical students, finding a prevalence of suicidal ideation of 11%. Several studies suggest that sleep disorders are a risk factor for suicidal thoughts and behaviours. Our findings show that sleep cannot considered a predictive factor of risk of suicide during health emergency, because the risk is polyfactorial. Support (if any) None

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