scholarly journals Association of body mass index and gender with sleep quality in medical students: A survey.

2020 ◽  
Vol 27 (11) ◽  
pp. 2511-2516
Author(s):  
Saleem Ullah Abro ◽  
Ghulnaz Khalid ◽  
Qurratulain Saleem ◽  
Maham Khan ◽  
Sohail Ahmed ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Sleep Quality ◽  
Body Mass ◽  
Survey Study ◽  
Quality Of Sleep ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
And Gender

Objectives: To assess the association of body mass index and gender with sleep quality in medical students: a survey. Study Design: Descriptive Cross-sectional survey. Setting: Public Sector Medical Colleges of Karachi. Period: 1st January to 31st March 2019. Material & Methods: 350 medical students were enrolled after taking consent as per declaration of Helsinki. Data were collected from included students of this study, who had age of 18 to 24 years and all other students having history of insomnia, anorexia nervosa and metabolic disorders were excluded from study. All the enrolled participants were assessed by using Pittsburgh Sleep Quality Index (PSQI). It is used as tool for assessment of subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, use of sleep medication and day-time sleepiness. Body mass index was calculated as weight (Kg)/height (m)2. Collected data was analyzed by using SPSS version 22. Results: The mean age of 20.83±1.54. Of the total, 14(3.7%) were overweight/ obese and 304(79.6%) were underweight. Overall 14 (3.7%) reported Good quality of Sleep, and remaining had poor quality of sleep 336 (96.3%) There was significant (p<0.05) association of Sleep Quality with gender but no significant (p>0.05) association between sleep quality with body mass index (BMI) in this study. Conclusion:  There was significant (p<0.05) association of Sleep Quality with gender but no significant (p>0.05) association of Sleep Quality with body mass index (BMI) in this study.

Association Between Hypertension, Body Mass Index, and Sleep: A Cross-Sectional Study

2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Cross Sectional

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.

scholarly journals Association Between Hypertension, Body Mass Index, and Sleep: A Cross-Sectional Study

2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Cross Sectional

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.

scholarly journals Quality of Sleep and Its Correlates among Yemeni Medical Students: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bothaina Ahmed Attal ◽  
Mohammed Bezdan ◽  
Abdulwahab Abdulqader
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Mean

Background. Sleep disturbance is particularly common among medical students worldwide and affects their wellbeing and academic performance. However, little is known about this issue in Yemen. This study looks at sleep quality and its association with personal and life-style factors and self-reported academic performance among medical students at the largest Yemeni university. Methods. A cross-sectional survey was conducted at Sana’a University, Yemen, in 2017. The Pittsburgh Sleep Quality Index (PSQI), consisting of 19 items and 7 components ( score   range = 0 ‐ 3 ), was used to assess sleep quality. The summation of the components’ scores yields the global PSQI score ( range = 0 ‐ 21 ). A global PSQI value higher than 5 indicates poor quality of sleep. Logistic regression was applied to look at relationships. Results. 240 male (41%) and female (59%) medical students took part in the study with 54% being preclinical and 46% clinical with an average age of 23.3 years ( SD = 1.7 ). The mean global score (SD) was 6.85 (2.8), and 68% of the students ( N = 163 ) were identified as poor sleepers. The mean global PSQI score (SD) and proportion of poor sleepers were higher among males (7.7 (2.8) and 81%, respectively) than females (6.27 (2.42) and 59.2%, respectively), p ≤ 0.001 . Good sleep quality was more likely (OR (95% CI)) among females (3.4 (1.3-8.8)), the unmarried (2.8 (1-7.8)), those in good health (2.3 (1.1-4.5)), and nonkhat chewers (4.9 (1.4-17.1)). Nonsmokers were less likely to have good quality sleep compared to occasional smokers (0.185 (0.071-.485)). Stress (30%) and academic workload (21%) were the most commonly reported causes of poor sleep quality. Almost two-thirds of the students (65%) mentioned that disturbed sleep undermined their academic performance. Conclusions. Poor sleep quality is common among Sana’a medical students and impacts their academic performance. Specific stress management and sleep hygiene promoting programs should be incorporated early on in medical education.

scholarly journals Sleep quality, mental health and body mass index among undergraduate medical students: a cross-sectional study

2021 ◽  
Vol 9 (10) ◽  
pp. 3017
Author(s):  
Piyush Kharche ◽  
Rupali A. Patle
Keyword(s):  
College Students ◽  
Body Mass Index ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Medical College ◽  
The Difference

Background: Association of sleep disorders is found cardiovascular mortality, stroke, diabetes, impaired glucose tolerance, immune dysfunction, endocrine impairments, and psychiatric morbidities including depression. Sleep quality affects college students physical and psychological health. Thus, poor sleep quality is a serious problem in college students. This study was done to assess the quality of sleep among undergraduate medical college students, to explore relationship between quality of sleep and body mass index, to study relationship between quality of sleep and anxiety, to study relationship between quality of sleep and depression.Methods: Total 300 medical students were selected by systematic random sampling method i.e. 25 students from each year studying in 3 government medical college were selected. A descriptive questionnaire for all socio-demographic parameters along with validated instrument i.e. for sleep quality, Pittsburgh sleep quality index (PSQI), for anxiety Hamilton anxiety rating scale and for depression, Becks depression inventory were used for the data collection instruments.Results: Amongst the 300 subjects 189 (63.00%) were found to be poor sleepers. The sleep quality was poor among the subjects who are in final academic year though the difference was not statistically significant (c²=2.78, df=3, p=0.4267). It was found that sleep quality was decreased among overweight and obese persons, but the difference was not statistically significant. (c²=4.657, df=2, p=0.0974). Prevalence of anxiety was found to be more in poor sleepers. Depression was also more common among the poor sleepers and the difference was statistically significant.Conclusions: Poor sleep quality was associated with depression and anxiety in students.

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

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.

Medical students’ attention in EFL class: roles of academic expectation stress and quality of sleep

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Po-Chi Kao
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Quality Of Sleep ◽  
Class A ◽  
Medical University ◽  
The Relationship

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.

scholarly journals “DOES EXCESSIVE INTERNET USAGE DISRUPT CIRCADIAN RHYTHM? – SPOTLIGHT ON A LOOMING BEHAVIOURALADDICTION AMONG MEDICAL STUDENTS”

2020 ◽  
pp. 1-5
Author(s):  
R. Barath ◽  
C.P. Rabindranath ◽  
Bindu Menon ◽  
Mathan. K ◽  
Mithun Prasad. V
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Mental Health Problems ◽  
Poor Quality ◽  
Internet Usage ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Cross Sectional

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.

scholarly journals Sleep quality during home distancing in the COVID-19 pandemic in the Western Amazon

2021 ◽  
Vol 31 (3) ◽  
pp. 458-464
Author(s):  
Carlos Roberto Teixeira Ferreira ◽  
Francisco Naildo Cardoso Leitão ◽  
Maura Bianca Barbary de Deus ◽  
Italla Maria Pinheiro Bezerra ◽  
Rejane Rosas Barbary de Deus ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Web Based ◽  
Demographic Questionnaire ◽  
Significant Difference ◽  
Quality Sleep

Introduction: the COVID-19 pandemic incited unprecedented global restrictions on society’s behavior. Home detachment and isolation measures applied during the COVID-19 pandemic can result in problems with sleep quality. It is an important measure to reduce the risk of infection from the COVID-19 outbreak. Objective: to investigate the existence of a difference between the quality of sleep before and during the home distance imposed by the Covid-19 pandemic. Methods: cross-sectional web-based survey was sent using different conventional social media to collect data from the study population. The evaluated group was composed of 124 subjects, 57 of whom were male and 67 were female from the city of Rio Branco / AC. For this study, the Pittsburgh Sleep Quality Index questionnaire (PSQI-BR) and a socio-demographic questionnaire were used. The volunteers received a link along with the description and purpose of the study. Finally, data analysis was performed using SPSS 22.0 software. Results: sleep quality worsened significantly during home distance in four sleep components (subjective sleep quality, sleep latency, sleep drowsiness and overall PSQI score). During social distance, poor sleep was greater among respondents (OR = 5.68; 95% CI = 1.80–17.82; p = 0.70). Conclusion: the results indicated that there was a significant difference between the quality of sleep before and during home detachment and sleep disturbance and the subjective quality of sleep before and during the period of the outbreak of COVID-19 were the components that most worsened in the state of sleep

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