scholarly journals Computer and Internet Use among Undergraduate Medical Students in Iran

1969 ◽  
Vol 30 (5) ◽  
Author(s):  
Ali Ayatollahi ◽  
Jamshid Ayatollahi ◽  
Fateme Ayatollahi ◽  
Reza Ayatollahi ◽  
Seyed hossein Shahcheraghi
Keyword(s):  
Medical Students ◽  
Internet Use ◽  
Undergraduate Medical Students

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

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.

scholarly journals Computer and internet use by the undergraduate medical students of Bangladesh

2016 ◽  
Vol 10 (2) ◽  
pp. 45
Author(s):  
M.M. Shaheen ◽  
S. Naher ◽  
M.H.K. Talukder ◽  
S. Tasnim
Keyword(s):  
Medical Students ◽  
Internet Use ◽  
Undergraduate Medical Students

scholarly journals Correlates of problematic internet use among undergraduate medical students of Delhi

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Deepak Dhamnetiya ◽  
Satyavir Singh ◽  
Ravi Prakash Jha
Keyword(s):  
Logistic Regression ◽  
Medical Students ◽  
Emotional Support ◽  
Internet Use ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
Undergraduate Medical Students ◽  
Internet Users ◽  
Medical Undergraduate

Abstract Background Globally, due to population diversity, the prevalence of problematic internet use (PIU) varies from 7.3 to 51%. This study aims to assess correlates of problematic internet use among undergraduate medical students of Delhi and derive a model for allocating new subjects among categories of internet users. Material and methods A cross-sectional study was conducted on 201 medical-undergraduate students in a medical college of Delhi from April 1st to May 31st, 2019. A semi-structured and pre-tested questionnaire was used to collect demographic information and factors affecting PIU. Dr. Kimberly Young’s Internet Addiction Test (IAT) tool was used to assess PIU. Binary logistic regression has been applied to assess the correlates of PIU, and step-wise discriminant analysis (DA) has been applied to derive a model for allocation of new subjects among categories of internet users. Statistical Package for Social Sciences (Trial version 27.0; SPSS Inc., Chicago, IL) software was used for statistical analysis. Result Total 41.3% of the subjects had PIU. Univariate analysis shows that internet use for emotional support, watching adult content, and gambling were significantly associated with PIU; however, in binary logistic regression, chatting, emotional support and watching online adult content were significant risk factors for PIU. The discriminant model correctly classified 66.2% of respondents into average and problematic internet user groups. Conclusion We should create awareness among medical students regarding problematic internet use and its potential harms; this could be included in the foundation course of curriculum implementation support program (CISP) for MBBS students.

scholarly journals Impact of internet use on lifestyle in undergraduate medical students

2014 ◽  
Vol 5 (3) ◽  
pp. 190
Author(s):  
Bhagya Kodavanji ◽  
Vidya Chathoth ◽  
Nayanatara Arun Kumar ◽  
Anupama N ◽  
Rekha D Kini ◽  
...  
Keyword(s):  
Medical Students ◽  
Internet Use ◽  
Undergraduate Medical Students

scholarly journals A study to assess internet addiction among undergraduate medical students of MMC&RI, Mysore

2018 ◽  
Vol 5 (7) ◽  
pp. 2984
Author(s):  
Sushma J. ◽  
Mansoor Ahmed ◽  
Amrutha A. M.
Keyword(s):  
Medical Students ◽  
Internet Addiction ◽  
Impulse Control ◽  
Internet Use ◽  
Self Esteem ◽  
Free Access ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Internet Users ◽  
The Mean

Background: Developmental stressors, along with free access to Internet services, may contribute to college student's vulnerability to internet dependence. Research indicates that Internet addiction is often associated with depression, impulse control disorder, and low self-esteem. Medical students are a particularly vulnerable group on account of the time they spend on the internet. The objective of the study was to assess Internet addiction among undergraduate medical students of MMC&RI using Young’s internet addiction test.Methods: A cross sectional observational study was conducted among medical students of MMC&RI during the period from August to November 2015. A total of 236 students were included. Kimberly young’s internet addiction test was used to assess the level of internet addiction.Results: The mean age of the students was 20.6 years (SD 1.97). The mean duration of internet use was 4.4 years (SD 1.64) and the mean duration of internet use per day was 1.96 hours (SD 0.99). The prevalence of severe internet addiction, moderate internet addiction, and mild internet addiction were found to be 0.8%, 19.5% and 58.2% respectively.Conclusions:There is a need to focus on mental health with regard to internet Addiction, as problematic internet use is increasingly being reported and younger Internet users are more at risk of becoming Internet addicts.  

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