scholarly journals A brief intervention to reduce burnout and improve sleep quality in medical students

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jennifer R. Brubaker ◽  
Aili Swan ◽  
Elizabeth A. Beverly
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Emotional Exhaustion ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Alarm Clock ◽  
Cohen’S D ◽  
Cohen's D

Abstract Background Perceived stress, burnout, and poor sleep quality are high among medical students. Interventions designed to target these issues are necessary to promote the health and well-being of medical students. The purpose of this study was twofold: 1) to assess the feasibility of implementing a sunrise alarm clock intervention with medical students and 2) to evaluate the impact of the intervention on perceived stress, burnout scores, and sleep quality. Methods We conducted a feasibility study to evaluate the efficacy of a two-week, sunrise alarm clock intervention in combination with electronic device removal at bedtime. We assessed first- and second-year medical students’ perceived stress, burnout scores, including Emotional Exhaustion, Depersonalization, and Low Sense of Personal Achievement, and sleep quality before and after the intervention. In addition, we measured smartphone addiction prior to the intervention. Results A total of 57 students consented to participate, of which 55 completed both the pre- and post-assessments (3.5% attrition). The mean age of the participants was 24.8 ± 1.9 years, 50.9% (n = 29) identified as women, and 68.4% (n = 39) identified as white. Pre-intervention, 42.1% (n = 24) of students met criteria for smartphone addiction and 77.2% (n = 44) met criteria for poor sleep quality. In addition, 22.8% (n = 13) of participants had high emotional exhaustion, 64.9% (n = 31) high depersonalization, and 42.1% (n = 24) low sense of personal accomplishment prior to the intervention. Following the two-week intervention, participants showed improvements in emotional exhaustion (p = 0.001, Cohen’s d = 0.353), depersonalization (p = 0.001, Cohen’s d = 0.411) low sense of personal accomplishment (p = 0.023, Cohen’s d = 0.275), perceived stress (p < .001, Cohen’s d = .334), and sleep quality (p < 0.001, Cohen’s d = 0.925). The number of participants who reported poor sleep quality decreased to 41.8% (n = 23), demonstrating a significant decline (p = 0.026). Participants also improved subjective sleep quality (p < 0.001, Cohen’s d = 1.033), sleep duration (p = 0.001, Cohen’s d = 0.431), sleep latency (p < 0.001, Cohen’s d = 0.433), and sleep efficiency (p = 0.021, Cohen’s d = 0.673). Conclusions These findings suggest that the two-week sunrise alarm clock protocol with electronic device removal was effective in improving sleep quality and reducing burnout scores, and perceived stress. However, additional research comparing this intervention to a proper control group is needed to draw meaningful conclusions about the effectiveness of this intervention.

Perceived Stress and Coffee and Energy Drink Consumption Predict Poor Sleep Quality in Podiatric Medical Students

2015 ◽  
Vol 105 (5) ◽  
pp. 429-434 ◽  
Author(s):  
Mohomad Al Sawah ◽  
Naeemah Ruffin ◽  
Mohammad Rimawi ◽  
Carmen Concerto ◽  
Eugenio Aguglia ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Daytime Sleepiness ◽  
Energy Drink ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Grade Point ◽  
Energy Drink Consumption ◽  
Second Year

Background A cross-sectional survey administered to first- and second-year podiatric medical students aimed to investigate the effect of coffee intake, energy drink consumption, and perceived stress on sleep quality in medical students during their preclinical studies. Methods Ninety-eight of 183 students contacted (53.6%) completed a questionnaire comprising standard instruments measuring sleep quality (Pittsburgh Sleep Quality Index), daytime sleepiness (Epworth Sleepiness scale), and perceived stress (ten-item Perceived Stress Scale). Furthermore, we investigated coffee and energy drink consumption. Logistic regression was conducted to identify factors associated with poor sleep quality and the relation between sleep quality and academic performance (grade point average). Results High prevalences of poor sleep quality, excessive daytime sleepiness, and perceived stress were reported. In addition, higher odds of developing poor sleep quality were associated with coffee and energy drink intake, perceived stress, and excessive daytime sleepiness. The total Pittsburgh Sleep Quality Index score was inversely correlated with grade point average. Conclusions First- and second-year podiatric medical students have poor sleep quality. Further research is needed to identify effective strategies to reduce stress and decrease coffee and energy drink intake to minimize their negative effect on sleep quality and academic performance in podiatric medical students.

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.

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

scholarly journals Quality of sleep and burnout among undergraduate medical students at the university of Nairobi, Kenya

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S279-S279
Author(s):  
Linda Nyamute ◽  
Muthoni Mathai ◽  
Anne Mbwayo
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Undergraduate Medical Students ◽  
Poor Sleep Quality ◽  
Significant Positive Association ◽  
The University

AimsThe main objective was to determine whether quality of sleep is associated with burnout among undergraduate medical students at the University of Nairobi.The null hypothesis in our study population was; 'There is no significant association between poor sleep quality and burnout'.BackgroundIn a pressure prevailing environment, medical students find themselves in a vicious cycle of cutting down on sleep in attempts to cope and adjust to increasing workloads. Students with poor sleep quality have been found to perform worse in their board exam and have strained social engagements. Ultimately, this chronic sleep deprivation may lead to burnout which may cause diminished sense of accomplishment and impaired professional conduct, that may be carried on to the career as a physician. High levels of burnout have been associated with suicides.MethodThe sample size obtained was 384 and participants were selected by a mixed sampling method. Data collection was through self-administered questionnaires. Scales used for this study were the Pittsburg Sleep Quality Index(PSQI) and the Oldenburg Burnout Inventory(OLBI).Ethical considerations were adhered to and approval obtained from the Kenyatta National Hospital-University of Nairobi(KNH-UON) Ethics Board. Data entry and analysis was by SPSS v23. Data from 336 questionnaires were deemed fit for analysis.ResultWith a response rate of 87.5%, the prevalence of poor sleep quality and burnout were 69.9% and 74.7% respectively. There was a significant positive association between poor sleep quality and female gender, clinical years of study, living with family, poorly perceived socio-economic state and poor subjective academic performance. In addition, being female, younger, pre-clinical years, living independently off-campus and poor subjective academic performance were significantly associated with higher levels of burnout.Burnout had a significant correlation with poor sleep quality. Daytime functioning, a component of sleep quality had the highest correlation with components of burnout, disengagement and exhaustion. Overall, 57% of the respondents had both poor sleep quality &burnout, while only 12% were good sleepers with no burnout. Furthermore, having poor sleep increased the risk of having burnout by 2.8times. It is crucial that students adopt better sleeping habits to reduce the risk of burnout.ConclusionWith the high prevalence of poor sleep quality and burnout, peer-support groups and peer-led mentorship programs are recommended within this population to help deal with expectations, challenges and difficulties encountered within the course of medical education, in addition to preparing for the early future careers.

scholarly journals Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Asmaa Jniene ◽  
Leila Errguig ◽  
Abdelkader Jalil El Hangouche ◽  
Hanan Rkain ◽  
Souad Aboudrar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Blue Light ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Light Emitting ◽  
Light Emitting Devices ◽  
The Mean ◽  
Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

scholarly journals Impact of smartphone use on quality of sleep among medical students

2017 ◽  
Vol 5 (1) ◽  
pp. 101 ◽  
Author(s):  
Mahesh D. Kurugodiyavar ◽  
Sushma H. R. ◽  
Maneesha Godbole ◽  
Manjunath S. Nekar
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Hierarchical Regression ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Smartphone Use

Background: Smartphone with its various functionalities has become an essential part of our daily activities and its use has been increasing. This has raised concern about its overuse and addiction especially in students. It is known that poor sleep is very common among medical students; there are many studies on sleep quality and its determinants in medical students but very few relating sleep quality and smartphone addiction. The main objective of this study was to investigate the relationship between smartphone use severity and sleep quality among medical students of KIMS, Hubballi. Methods: A cross‑sectional study on sample of 240 undergraduate medical students KIMS, Hubballi was conducted. Students were assessed using a self-administered questionnaire, Smart phone addiction scale (SAS) and Pittsburgh sleep quality inventory (PSQI). SAS score and PSQI scores were co-related. Hierarchical regression analyses were conducted to identify the variables independently associated with level of sleep quality. Results: Out of 240 subjects 117 (48.75%) were poor sleepers & 123 (51.25%) were good sleepers according to PSQI global sleep score. According to SAS score 123 (51.2%) were low users and 117 (48.75%) were high users of Smart phone. The mean (SD) PSQI global score was 4.8 (2.49) and mean (SD) SAS score was 102.93 (22.13). There was positive correlation between SAS score & PSQI score (r=0.343, p<0.001). Gender (β=0.141, p=0.021) & SAS score (β=0.292, p<0.001) were the significant predictors of global PSQI score. Conclusions: This study concludes that in medical students smartphone addiction affects sleep quality significantly and males are particularly more at risk of having poor sleep quality due to excessive smartphone use.  

scholarly journals The association between perceived stress with sleep quality, insomnia, anxiety and depression in kidney transplant recipients during Covid-19 pandemic

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248117
Author(s):  
Dilek Barutcu Atas ◽  
Esra Aydin Sunbul ◽  
Arzu Velioglu ◽  
Serhan Tuglular
Keyword(s):  
Sleep Quality ◽  
Kidney Transplant ◽  
Perceived Stress ◽  
Independent Predictor ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Poor Sleep Quality ◽  
Anxiety Depression

Background The psychological distress and sleep problems caused by current Covid-19 outbreak is not well known in kidney transplant recipients. In this study, we aimed to investigate the association between perceived stress with sleep quality, insomnia, anxiety, depression and kidney function in kidney transplant recipients during the Covid-19 pandemic. Material and methods A hundred-six kidney transplant recipients were enrolled. Questionnaire of "Socio-demographics", "Perceived Stress Scale (PSS)", "Pittsburgh Sleep Quality Index (PSQI)", "Insomnia Severity Index (ISI)" and “Hospital Anxiety Depression Scale (HADS)” are performed. The laboratory data is recorded. The perceived stress related to Covid-19 pandemic and its associations were investigated. Results The mean age of patients was 44.2±13.3 years, and 65 of the patients (61.3%) were men. Forty-nine (46.2%) of the patients had high-perceived stress; 51 (48.1%) of the patients had poor sleep quality, 40 (37.7%) of the patients had insomnia, 25 (23.6%) of the patients had anxiety and 47 (44.3%) of the patients had depression. The patients having a history of Covid-19 infection in own or closed relatives (9.09±4.17 vs 6.49±4.16, p:0.014) and the patients who have a rejection episode any of time (8.24±5.16 vs 6.37±3.57, p:0.033) have had significantly higher anxiety scores, when they compared to others. The high PSS were positively correlated with PSQI, ISI, HAD-A and HAD-D. Regression analyses revealed that high-perceived stress is an independent predictor of anxiety and depression. There was not significant difference between kidney function with PSS, PSQI, ISI, HAD-A and HAD-D. Conclusions High PSS is positively correlated with poor sleep quality and insomnia and also an independent predictor of anxiety and depression in kidney transplant recipients during the outbreak of Covid-19. As the pandemic is still spreading worldwide quickly early identification and intervention of sleep disturbances and psychiatric disorders are essential to protect graft function with high compliance to treatment in transplantation patients.

scholarly journals Quality of sleep and use of computers and cell-phones among university students

2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Computer Use ◽  
Cell Phones ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Good Sleep

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.

scholarly journals Sleep quality among students in Ibn Sina National College

2021 ◽  
Vol 8 (3) ◽  
pp. 1110
Author(s):  
Murad A. Yasawy ◽  
Rehab A. Mohammed ◽  
Mahmood A. Yasawy ◽  
Nada Mohammed Hafiz ◽  
Haneen A. Turkistani
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Statistical Correlation ◽  
Categorical Variables ◽  
P Value ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Ibn Sina

Background: Aim of the study was to assess the sleep quality among medical students and explore its relation to many variables as BMI, smoking and chronic diseases.Methods: A descriptive cross-sectional study, conducted among medical students at Ibn Sina national college, Jeddah, KSA. This study was approved by Research Center. A total of 408 participants; Participants are who admitted to hospital for last two days, pregnant and who under 18 years were excluded. We consider p value=0.05 as significant statistically and our confidant interval (CI) is 95%. We used bivariate and univariant variables, for categorical variables we used Chi-square and Fisher exact test.Results: The participants’ mean age was 22.6±2.7 (87.9%) of them were females. Most of our participants were Single (89.8%). A total of 85.9% of the students had poor sleep quality. Those who had less than 6 Hours of sleeping per day had poor sleep quality by 92.2% and statistically affecting their sleep quality p value =0.000. There was no statistically significant relation between sleep quality and academic year or with Gender (p=0.139, p=0.263) respectively. There was no statistical correlation between Sleep quality and Nightmares or Snoring (p value =0.063, 0.055) respectively.Conclusions: Poor sleep quality was prevalent in all class years of the undergraduate medical course and more common between females. This study revealed high prevalence of poor sleep quality. Sleep educational programs, stress management courses and lifestyles modifications are required.

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