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

2017 ◽  
Vol 15 (4) ◽  
pp. 299-310 ◽  
Author(s):  
Dandan Yu ◽  
Qiongqiong Ren ◽  
Bao Dong ◽  
Dongdong Zhao ◽  
Yehuan Sun
SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A272-A272
Author(s):  
Alessandra Castelnuovo ◽  
Samantha Mombelli ◽  
Daniela Bottoni ◽  
Antonella Somma ◽  
Andrea Fossati ◽  
...  

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


Author(s):  
Cong Wang ◽  
Guichen Li ◽  
Lufang Zheng ◽  
Xiangfei Meng ◽  
Qiuyan Meng ◽  
...  

Author(s):  
Chiu‐Shu Fang ◽  
Hsiu‐Hung Wang ◽  
Ruey‐Hsia Wang ◽  
Fan‐Hao Chou ◽  
Shih‐Lun Chang ◽  
...  

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S279-S279
Author(s):  
Linda Nyamute ◽  
Muthoni Mathai ◽  
Anne Mbwayo

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.


Author(s):  
Hanan Elsayed ◽  
Amenah Tashkandi ◽  
Nourah Alsaiari ◽  
Gelan Alyami ◽  
Wejdan Ahmed ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Po-Chi Kao

Abstract This study proposed and tested a conceptual model of academic expectation stress, sleep quality, and attention in EFL class. These variables did not receive much attention in previous studies but are considered important to medical students’ attention in EFL class. Data were collected from 496 medical students from a medical university in Taiwan. Structural Equation Modeling (SEM) technique was used to examine the path effect in the research model. The results found that (1) higher academic expectation stress leads to higher attention in EFL class; (2) higher academic stress causes poorer sleep quality; (3) poorer sleep quality leads to lower attention in EFL class. A mediator was also identified in this model: sleep quality was found to partially mediate the relationship between academic expectation stress and attention in EFL class. The results may advance the current literature in medical education and applied linguistics by moving a step closer to understand these three variables.


2020 ◽  
pp. 1-5
Author(s):  
R. Barath ◽  
C.P. Rabindranath ◽  
Bindu Menon ◽  
Mathan. K ◽  
Mithun Prasad. V

Background: In recent years the internet had become the most indispensable tool for students for learning, entertainment, and communication. Internet over-usage had emerged as a major problem among students causing the emergence of a problem that is defined as internet addiction (IA) which affects sleep and leads to several mental health problems. This study is the step toward understanding the effect of internet addiction on sleep quality among medical college students in Pondicherry. Methods: This was a cross-sectional study. It is a questionnaire-based study administrated among 298 consenting medical students. The participants were assessed by proforma containing demographic details, variables related to internet use, questionnaires of Internet Addiction Test, and Pittsburgh Sleep Quality Index for Sleep quality. Statistical data were analysed by SPSS-25. Results: A total of 287 students participated; 113 (39.4%) were males and 174 (60.6%) are females. Out of which Average users were 244 (85.01%) and problematic internet usage was 43 (14.99%), whereas poor sleep quality is found in 132 (45.99%) individuals. A significant correlation was found between internet addiction and the quality of sleep. Conclusions: Participants with problematic internet users were more likely to have a poor quality of sleep and vice versa.


2020 ◽  
Author(s):  
Guhua Jia ◽  
I-Shiang Tzeng ◽  
Chieh-Chen Wu

Abstract Background: Sleep is recognized as an all-important physiological process, which also contributes to maintaining several bodily functions and systems. Insufficient sleep can induce many serious side effects and have an impact on human health in general. There are five consequences of lack of sleep, including an increased chance of morbidity and mortality, poor judgment, increased risk of accidents and injuries, reduced level of functioning, and an inferior quality of life. According to the Pittsburgh Sleep Quality Index (PSQI), also known as the most widely used tool in the field of subjective assessment of self-perceived sleep quality, a combination of acupoints could be more effective than single acupoint treatment in improving sleep quality. Methods: This study has been proved based on a previous meta-analysis that consisted of some relevant studies. The present study was based on the extracted randomized control trials (RCTs) rooted in a previous meta-analysis that worked on the basis of association rule mining and examined the potential kernel acupoint combinations for improving sleep quality. Results: Depending on the Apriori algorithm, we summarized 26 acupoints as binary data from the 32 eligible RCTs and analyzed them. The top 10 most frequently selected acupoints were HT7, SP6, PC6, KI1, GV20, Taiyang, Yintang, Anmian, KI3, and Ear Shenmen. Furthermore, as deduced from 21 association rules, the primary relevant rules in the combination of acupoints are {Yintang, Anmian}=>{GV20} and {HT7, KI1}=>{PC6}. Conclusions: In order to use acupuncture to improve sleep quality, integrating {Yintang, Anmian, GV20} with {HT7, KI1, PC6} acupoints could be deemed as the kernel acupoint combination.


2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski

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.


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