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

2020 ◽  
Vol 17 (4) ◽  
pp. 385-385
Author(s):  
Yanqiu Wang ◽  
Ying Zhao ◽  
Ling Liu ◽  
Yan Chen ◽  
Dong Ai ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Current Situation ◽  
Self Injury ◽  
Chinese Medical Students

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

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.

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

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

Internet Addiction, Sleep Quality and Depressive Symptoms Amongst Medical Students in Delhi, India

2020 ◽  
Author(s):  
Raghav Gupta ◽  
Neha Taneja ◽  
Tanu Anand ◽  
Anupama Gupta ◽  
Rajesh Gupta ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction

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 Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259594
Author(s):  
Muhammad Junaid Tahir ◽  
Najma Iqbal Malik ◽  
Irfan Ullah ◽  
Hamza Rafique Khan ◽  
Shahida Perveen ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Online Survey ◽  
Medical Training ◽  
Negative Impact ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Patient Reported

Background The emergence of the COVID-19 pandemic has affected the lives of many people, including medical students. The present study explored internet addiction and changes in sleep patterns among medical students during the pandemic and assessed the relationship between them. Methods A cross-sectional study was carried out in seven countries, the Dominican Republic, Egypt, Guyana, India, Mexico, Pakistan, and Sudan, using a convenience sampling technique, an online survey comprising demographic details, information regarding COVID-19, the Pittsburgh Sleep Quality Index (PSQI), and the Internet Addiction Test (IAT). Results In total, 2749 participants completed the questionnaire. Of the total, 67.6% scored above 30 in the IAT, suggesting the presence of an Internet addiction, and 73.5% scored equal and above 5 in the PSQI, suggesting poor sleep quality. Internet addiction was found to be significant predictors of poor sleep quality, causing 13.2% of the variance in poor sleep quality. Participants who reported COVID-19 related symptoms had disturbed sleep and higher internet addiction levels when compared with those who did not. Participants who reported a diagnosis of COVID-19 reported poor sleep quality. Those living with a COVID-19 diagnosed patient reported higher internet addiction and worse sleep quality compared with those who did not have any COVID-19 patients in their surroundings. Conclusion The results of this study suggest that internet addiction and poor sleep quality are two issues that require addressing amongst medical students. Medical training institutions should do their best to minimize their negative impact, particularly during the current COVID-19 pandemic.

scholarly journals The association between internet addiction, sleep quality, and health-related quality of life among Iranian medical students

2020 ◽  
Vol 38 (3) ◽  
pp. 317-325
Author(s):  
Mahmood Karimy, ◽  
Fatemeh Parvizi, ◽  
Mohammad Reza Rouhani, ◽  
Mark D. Griffiths, ◽  
Bahram Armoon ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Association of sleep quality and internet addiction among the medical students

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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