Assessment of burden of internet addiction and its association with quality of sleep and cardiovascular autonomic function in undergraduate medical students

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.

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

10.36106/ijsr/0229051 ◽

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.

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Magnitude and correlates of sleep quality among undergraduate medical students in Ethiopia: cross –sectional study

Sleep Science and Practice ◽

10.1186/s41606-021-00058-2 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Tirusew Wondie ◽

Alemayehu Molla ◽

Haregewoin Mulat ◽

Woynabeba Damene ◽

Mengistu Bekele ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Sleep Hygiene ◽

Cross Sectional Study ◽

Poor Sleep ◽

Quality Of Sleep ◽

Undergraduate Medical Students ◽

Poor Sleep Quality ◽

Cross Sectional

Abstract Purpose Poor quality of sleep has a negative effect on academic performance of medical students. Quantity and quality of sleep in addition to average sleep time are strongly linked with students’ learning abilities, poor academic performance and poor interpersonal relationship which predispose them to mental illnesses. This study is aimed to assess magnitude and correlates of sleep quality among medical students in Ethiopia. Method An institutional based cross-sectional study was conducted among 576 undergraduate medical students. Data was collected by using interviewer administered structured questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. The collected data were entered in to Epi-data version 3.1and analyzed using SPSS version 20. Logistic regression was used to identify the potential determinants of quality of sleep among undergraduate medical students. P-values less than 0.05 were considered statistically significant and strength of the association was presented by adjusted odds ratio with 95% C.I. Result The prevalence of poor sleep quality among undergraduate medical students was 62% (95%CI, 57.9, 65.3). The mean age (±SD) of the respondents was 21.5(±2.4), with age ranging from 18 to 28 and about 310 (53.8%) were males. Factors like, being depressed (AOR = 1.92,95%CI 1.16,3.19), poor social support (AOR = 5.39,95%CI 2.33,2.49), being stressed (AOR = 2.04,95%CI 1.26,3.31), and poor sleep hygiene (AOR = 3.01,95%CI 1.75,5.18) were associated with poor sleep quality at p-value < 0.05. Findings also showed that, one unit increase in grade point average was associated with 81.5% decrease (AOR = 0.185, 95%CI 0.13, 0.28) in poor sleep quality. Conclusion A substantial proportion of medical students are affected by poor sleep quality. Routine screening of sleep quality, sleep hygiene, depression and stress is warranted. Moreover, it is better to educating medical students about proper sleep hygiene and the consequences of poor sleep.

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Association of sleep quality and internet addiction among the medical students

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20192903 ◽

2019 ◽

Vol 7 (7) ◽

pp. 2703

Author(s):

Nidhi Nagori ◽

Kinjal Vasava ◽

Ashok U. Vala U. Vala ◽

Imran J. Ratnani

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Internet Addiction ◽

Internet Use ◽

Poor Quality ◽

Problematic Internet Use ◽

Poor Sleep ◽

Quality Of Sleep ◽

Poor Sleep Quality

Background: The side effects of Internet overuse have been emerging progressively causing the emergence of a problem that is defined as internet addiction or problematic internet use. It also disrupts the sleep wake cycle so adversely affecting quality of sleep. This study is a preliminary step toward understanding the effect of internet addiction on sleep quality among medical college students in India.Methods: This was an observational, cross-sectional, single-centred, and self-assessable. Questionnaire based study administrated among 525 consenting medical students. The participants were assessed by proforma containing demographic details, variables related with internet use, questionnaires of IAT (Internet Addiction Test for Internet Use) and PSQI (Pittsburgh Sleep Quality Index for Sleep quality. Statistical data were analysed by Graph Pad InStat version 3.06 using Chi–square test and Mann-Whitney test.Results: There were 9.3% of all participants were considered problematic internet users with frequency of internet addiction 0.9%. Participants with problematic internet use are likely to have poor sleep quality (p<0.0001). 23.8% of all participants had poor sleep quality and 76.2% of the students had good quality of sleep. Participants with poor quality of sleep were having high IAT scores in comparison to participants with good quality of sleep. Severity of poor sleep quality is positively correlated with internet addiction (r2=0.233, p<0.0001).Conclusions: Participants with problematic internet use were more likely to have poor quality of sleep and vice a versa.

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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

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P083 A rheumatology carousel: three-year results from an open-access teaching workshop designed for core rheumatology assessments for undergraduate medical students

Rheumatology ◽

10.1093/rheumatology/keab247.081 ◽

2021 ◽

Vol 60 (Supplement_1) ◽

Author(s):

Pritesh Mistry ◽

James Bateman ◽

Helen Foss ◽

Muhamad Jasim

Keyword(s):

Medical Students ◽

Open Access ◽

Clinical Teaching ◽

Lesson Plan ◽

Clinical History ◽

Teaching Staff ◽

Free Text ◽

Undergraduate Medical Students ◽

Core Conditions

Abstract Background/Aims Medical students need to gain patient contact to develop their skills in history taking and examinations. In year three, undergraduate students typically rotate across various hospitals and specialties and are expected to have dedicated rheumatology exposure for history and examination competencies. Rheumatology as an out-patient specialty can limit opportunities for medical students to have broad exposure to rheumatological conditions. Methods In January 2018, we designed an annual rheumatology half-day teaching workshop (‘Rheumatology Carousel’) using a combination of lecture-based teaching and small group based guided clinical history and examination stations, aimed at third-year medical students from the University of Birmingham. This covered key presentations in rheumatology: axial spondyloarthropathy, rheumatoid arthritis, systemic sclerosis (connective tissue disease), osteoarthritis, and vasculitis. Each station required a Clinical Teaching Fellow or Rheumatology ST trainee, overseen by one consultant facilitator. We designed patient proforma’s incorporating consent, demographics, key clinical history, therapy, and examination findings. We produced a written patient guide, and consultants invited appropriate patients to volunteer for the day. We designed a one-hour lecture-based tutorial. A lesson plan and schedule were created outlining faculty requirements; including time, roles, and faculty numbers. We invited five to six patients to each session, with a plan of four to five focussed examinations. We designed the carousel to accommodate up to 40 students, split into two groups running over a day. Focussed examinations involved students in groups of four, with each student being a lead examiner in at least one station, each station lasting 20 minutes. Best practice examination techniques for each condition were assessed and emphasised. Following a debrief, we collected feedback from students, faculty, and patients (online and written feedback), using Likert scores for teaching content, and quality of the session delivery. Results The carousel ran in February 2018, 19, and 20. The sessions were positively evaluated by students, faculty, and patients. In total, 93 students attended, 89/93 completed feedback. Satisfaction scores (mean; SD; range) were high (1-strongly disagree, 5-strongly agree) for content (4.8; 0.49, range 3-5) and quality of delivery (4.7; 0.54; 3-5). All patients who participated volunteered to return for future teaching sessions, with several patients attending all three years. Free text feedback indicated students valued structured exposure to core conditions and called for more sessions of this nature. Conclusion This sustainable reproducible intervention ensures students have structured exposure to important rheumatological conditions. The methodology allows reproducible sessions that are positively evaluated despite rotating clinical teaching staff. We have made all our teaching materials, logistical plan, and scheduling tools available as open access resources under a Creative Commons license for free re-use and adaptation by any healthcare professional, via a web link. We plan to record an electronic version to distribute post the COVID-19 pandemic. Disclosure P. Mistry: None. J. Bateman: None. H. Foss: None. M. Jasim: None.

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Internet Addiction and the Pattern of Internet Use among Under Graduate Medical Students: A Cross- Sectional Study from North India

Journal of Community Health Research ◽

10.18502/jchr.v10i4.8338 ◽

2022 ◽

Author(s):

Priyanka . ◽

R K Pal

Keyword(s):

Medical Students ◽

Internet Addiction ◽

Internet Use ◽

Cross Sectional Study ◽

North India ◽

The Internet ◽

Sectional Study ◽

Undergraduate Medical Students ◽

Cross Sectional ◽

Significance Level

Introduction: Excessive use of the Internet affects the academic achievements of students. This study aimed to investigate the prevalence of Internet addiction and the pattern of Internet use among undergraduate medical students. Method: This analytical cross-sectional study conducted on 177 undergraduate medical students in batch 2016, 2017 and 2018, who were included in this study by convenience sampling method. The study tool was Young’s Internet Addiction Test containing questions regarding the pattern of Internet use. Data entry and analysis was done by using Microsoft excel and SPSS version 21. Qualitative data were described in terms of frequency and percentage while quantitative data were expressed as mean and standard deviation. Chi square test and multiple linear regression were used to find out the relationship between various factors and Internet Addiction (IA). The significance level was considered 0.05. Results: The mean age of the participants was 20.3 years (± 1.19), and 62 % of the subjects were males. The prevalence rate of Internet Addiction (IA) was found to be 56.5% and 42.9% of them were in mild and 13.6% were in moderate addiction category. Being male (β= -0.143, p=0.038), staying at a hostel (β= 0.167, p=0.018), not having a time preference for using the Internet (β= -0.174, p=0.012), spending more time on the Internet everyday (β= 0.201, p=0.000), being always online (β= 0.276, p=0.000) and more years of using the Internet (β= 0.175, p=0.015) were significantly related with IA in students. Conclusion: A large proportion of medical students were found to be addicted to the Internet. Therefore, this issue should be addressed immediately.

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Use of Item Analysis to Improve the Quality of Single Best Answer Multiple Choice Question in Summative Assessment of Undergraduate Medical Students in Malaysia

Education in Medicine Journal ◽

10.21315/eimj2017.9.3.4 ◽

2017 ◽

Vol 9 (3) ◽

pp. 33-43

Author(s):

Shahid Hassan ◽

◽

Rafidah Hod ◽

Keyword(s):

Medical Students ◽

Item Analysis ◽

Multiple Choice ◽

Summative Assessment ◽

Multiple Choice Question ◽

Undergraduate Medical Students

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

Applied Linguistics Review ◽

10.1515/applirev-2021-0040 ◽

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.

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Correlation between Internet addiction, depression, anxiety and stress among undergraduate medical students in Azad Kashmir

Pakistan Journal of Medical Sciences ◽

10.12669/pjms.35.2.169 ◽

2019 ◽

Vol 35 (2) ◽

Cited By ~ 1

Author(s):

Arslaan Javaeed ◽

Maria Bint Zafar ◽

Madiha Iqbal ◽

Sanniya Khan Ghauri

Keyword(s):

Medical Students ◽

Internet Addiction ◽

Rank Correlation ◽

Cross Sectional Study ◽

Undergraduate Medical Students ◽

Cross Sectional ◽

Creative Commons ◽

Azad Kashmir ◽

High Level ◽

Very High

Objective: To find out the correlation between internet addiction and depression, anxiety and stress among undergraduate medical students in Azad Kashmir. Methods: A cross-sectional study including 210 undergraduate medical students (first to the fifth year) was done in Poonch Medical College, Azad Kashmir. The data collection tools were DASS21 questionnaire and Young’s internet addiction questionnaire. Spearman rank correlation test was done to see the correlation between internet addiction and depression, anxiety, and stress. Data were analyzed by SPSS v23 at a 95% confidence interval. Results: A very high prevalence (52.4%) of moderate to extremely severe internet addiction was observed among the respondents. The mild positive correlation between internet addiction and depression was identified (p <0.001) and similar type of correlation was observed between internet addiction and stress (p 0.003). However, anxiety and internet addiction were not significantly correlated. The prevalence of anxiety and depression among the males were higher than the females, whilst the stress level was almost the same across gender. Conclusion: Internet addiction has been found to be associated with various psychiatric diseases. In this study, we also observed such correlation. We have also observed a very high level of internet addiction among medical students. The prevalence of internet addiction may further increase in the coming years as the internet will become more cheap, available and include more high quality psychologically addictive contents. How to cite this:Javaeed A, Zafar MB, Iqbal M, Ghauri SK. Correlation between Internet addiction, depression, anxiety and stress among undergraduate medical students in Azad Kashmir. Pak J Med Sci. 2019;35(2):---------. doi: https://doi.org/10.12669/pjms.35.2.169 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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