scholarly journals Internet Addiction Disorder among Medical Students in University of Kufa: A Cross Sectional Study

2018 ◽  
Vol 06 (04) ◽  
Author(s):  
Shaymaa Abdul lteef Alfadhul ◽  
Huda Ghazi hameed ◽  
Salam Jasim Mohammed
2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AnantprakashSiddharthkumar Saraf ◽  
HarshalShriram Sathe ◽  
Manoj Talapalliwar ◽  
Vrushti Patil ◽  
Vinay Kumar ◽  
...  

Author(s):  
Priyanka . ◽  
R K Pal

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.


2021 ◽  
Author(s):  
Salih Boushra Hamza ◽  
Yassin A. Abdalla ◽  
Tibyan Hassan Mustafa Alkabashi ◽  
Ahmed A. M. Mustafa ◽  
Khadija Ala Abdelmaqsud Muhmmed ◽  
...  

Abstract Background:In general, the emergence of new technologies such as the internet, social networks and providing opportunities to facilitate and improve global communications quality have created some threats, as Internet Addiction Disorder (IAD), which is an emerging psychological problem across the globe. Young defined it as “an individual’s inability to control his or her use of the internet, which eventually causes psychological, social, school, and/or work difficulties in a person’s life”. Students are among the most critical internet and social networks, particularly during the coronavirus recent pandemic. The prevalence of internet addiction and its association with academic performance among Sudanese medical students has not been discussed yet. Therefore, this study aimed to assess the effects of internet addiction on medical students’ academic performance. Methods:This study was an observational descriptive cross-sectional study conducted on medical students at Omdurman Islamic University in Sudan from 321 sample size by stratified random technique. Data were collected using a questionnaire that contains four sections; the last one is the Internet Addiction Test (IAT), a 20-item scale that measures the presence and severity of internet addiction, developed by Young. Data were analyzed using the statistical package for social science (SPSS) version 24. A P-value < 0.05 was considered statistically significant.Results:Out of 321 medical students, 186 (57.9%) were females, and 135 (42.1%) were males, with no general differences regarding the addiction score. Social media was the leading platform for internet use purposes (88%), mean internet addiction score was 47.7; most of the respondents (55.8%) fit into the moderate-level addiction. There is an association between the duration of internet time consumption and the IAT score, with 5-6 hour/day scoring the highest (mean 50.1 ± 14.3) (P-value 0.001). There is a significant association between platforms that consume most of the participant time and IAT score, with games scoring the highest (IAT mean 56.4 ± 15) (P-value 0.001). There is an insignificant negative correlation between Internet Addiction Test (IAT) grade and CGPA (p-value 0.07).Conclusion:The mean internet addiction score is 47.7, and most of the respondents (55.8%) show moderate-level addiction. The Internet Addiction Test’s application to medical students’ sample concerning the academic performance found no significant association between Internet Addiction Test score and CGPA score.


Author(s):  
Amina Ehsan ◽  
Farwa Iqbal ◽  
Muhammad Azeem Rao

Abstract Objectives: The objectives of the study were to find out the prevalence of internet addiction and to determine the risk factors associated with internet addiction in medical students. Methods: This descriptive cross-sectional study was carried out at Rawalpindi Medical University, Rawalpindi from July 2018 to August 2019. Our study population included medical students from all the years of MBBS aged 18-25 years, who have been using the internet for the past two years or more. A Stratified random sampling technique was used. Seventy-six self-administered questionnaires were distributed in each year. Data was entered and analyzed using the Statistical Package for Social Sciences (SPSS version 25). Results: Out of the total sample of 380, the prevalence came out to be 90% (n=342). Two hundred and twenty-two 222 (58.4%) had mild, 115 (30.3%) had moderate, six (1.6%) had severe and 37 (9.7%) had no addiction. Out of the risk factors online friendships (p= 0.007), online relationships (P=0.035), online chatting (p= 0.009), online shopping (p= 0.009), online games (p=0.023) and online series/movies (p< 0.000) were statistically significant. Conclusion: The prevalence of internet addiction is high among medical students, which is mostly of a mild type. Internet addiction is more common in males and non-hostel residents. Other significant risk factors are online relationships, online gaming, and online series/movies. Keywords: Prevalence, internet, medical students, risk factors. Continuous...


Author(s):  
G.V. Abhilash ◽  
S.V.V. Jagadeesh ◽  
M. Vijaya Gopal ◽  
K. Santosh Kumar

2014 ◽  
Vol 38 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Juan Enrique Berner ◽  
Jaime Santander ◽  
Ana María Contreras ◽  
Teresita Gómez

2021 ◽  
Vol 12 ◽  
Author(s):  
Alqassem Y. Hakami ◽  
Rami Ghazi Ahmad ◽  
Abdullah Alsharif ◽  
Alaa Ashqar ◽  
Fahad A. AlHarbi ◽  
...  

Behavioral addiction is identified as any compulsive, repeated, and persistent behavior that leads to significant and functionally impairing harm or distress. The aim of this study is to determine the prevalence of internet, video-gaming, and pornography addictions among medical students in Western region. In addition, we intend to investigate the relationship between these behavioral addictions with stress and anxiety. Our study was a cross-sectional study with a sample size of 225. The study participants were medical students in their 3rd, 4th, and 5th academic years from five different medical colleges in Western region. The questionnaire included demographics and adapted five different pre-validated scales: Young's Internet Addiction Test – Short Version (IAT-SV), Internet Gaming Disorder Scale 9 – Short Form (IGDS9-SF), (PPC scale), Perceived Stress Scale (PSS), and Generalized Anxiety Disorder 7-item scale (GAD-7). The IAT-SV scale showed: 71 (31.6%) of the participants had normal internet usage, 51 (22.7%) participants showed problematic usage, and 103 (45.8%) used the internet pathologically. The IGDS9-SF scale had observed the following values: 220 participants (97.8%) were non-disordered, and 5 participants (2.2%) were found to be disordered. Statistical analysis showed a highly significant association between stress and problematic pornography consumption (P &lt; 0.01), and internet addiction (P &lt;0.001). Moreover, there was a significant association between anxiety and internet gaming disorder (P &lt; 0.01). This study showed high prevalence of internet addiction and low prevalence of internet gaming disorder. Also, it gave more understanding to a possible association between these behavioral addictions with stress and anxiety.


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