Status of fatigue and sleep quality in clinical medical 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.

Download Full-text

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

SLEEP ◽

10.1093/sleep/zsab072.694 ◽

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

Download Full-text

Good sleep quality is associated with better academic performance among Sudanese medical students

BMC Research Notes ◽

10.1186/s13104-015-1712-9 ◽

2015 ◽

Vol 8 (1) ◽

Cited By ~ 26

Author(s):

Hyder Osman Mirghani ◽

Osama Salih Mohammed ◽

Yahia Mohamed Almurtadha ◽

Moneir Siddig Ahmed

Keyword(s):

Academic Performance ◽

Medical Students ◽

Sleep Quality ◽

Good Sleep

Download Full-text

The sleep quality of medical students in China: a meta-analysis

Sleep and Biological Rhythms ◽

10.1007/s41105-017-0118-6 ◽

2017 ◽

Vol 15 (4) ◽

pp. 299-310 ◽

Cited By ~ 2

Author(s):

Dandan Yu ◽

Qiongqiong Ren ◽

Bao Dong ◽

Dongdong Zhao ◽

Yehuan Sun

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Meta Analysis

Download Full-text

Excessive daytime sleepiness and sleep quality in medical students and their association with smartphone and internet addiction: A cross-sectional study

Annals of Indian Psychiatry ◽

10.4103/aip.aip_62_21 ◽

2021 ◽

Vol 0 (0) ◽

pp. 0

Author(s):

AnantprakashSiddharthkumar Saraf ◽

HarshalShriram Sathe ◽

Manoj Talapalliwar ◽

Vrushti Patil ◽

Vinay Kumar ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Internet Addiction ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

Download Full-text

The Current Situation of Internet Addiction and Its Impact on Sleep Quality and Self-Injury Behavior in Chinese Medical Students

Psychiatry Investigation ◽

10.30773/pi.2019.0131 ◽

2020 ◽

Vol 17 (3) ◽

pp. 237-242

Author(s):

Yanqiu Wang ◽

Ying Zhao ◽

Ling Liu ◽

Yan Chen ◽

Dong Ai ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Internet Addiction ◽

Detection Rate ◽

Poor Sleep ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Self Injury ◽

Chinese Medical Students ◽

Self Harm

Objective The purpose of this cross-sectional survey is to explore the current state of Internet addiction (IA) in Chinese medical students and its connection with medical students’ sleep quality and self-injury behavior.Methods Respondents were came from Wannan Medical College, China. The Young’s Internet Addiction Test, Pittsburgh Sleep Quality Index (PSQI), Self-Harm Questionnaire were used in this cross-sectional survey. A total of 3,738 medical students were investigated, 1,552 (41.52%) males, 2,186 (58.48%) females. T-test, chi-square test and MANOVA were used for data analysis.Results Of the 3,738 medical students, 1,054 (28.2%) reported having IA, 1,126 (30.1%) reported having poor sleep quality, 563 (15.1%) having self-harm behaviors. IA tends to be more female, upper grade students. The sleep quality of IA was worse than that of non-IA (χ<sup>2</sup>=54.882, p<0.001), and the possibility of self-injury was higher than non-IA (χ<sup>2</sup>=107.990, p<0.001).Conclusion This survey shows that the IA detection rate of medical students was 28.2%. Females, higher grade students had a higher IA detection rate. The low sleep quality and self-injury behavior of medical students are associated with IA.

Download Full-text