Abstract:Background: The explosive growth of the internet in the last decade has had a huge impact on communication and interpersonal behavior. More and more students are addicted to internet, while spending lots of time surfing on the internet. The present study was conducted considering the above facts, with the objective to assess the level of internet addiction and effects of it among the medical students. Methods: It was a cross sectional study conducted among medical students of PDU Govt. Medical College, Rajkot.… Show more
“…21,1 Similar studies showed that the magnitude of Internet Addiction ranges between 20% to 40% which is less when compared to our study. 1,2,[22][23][24] A study carried out among Engineering students in Tamil Nadu by Deepa Sankar et al showed a magnitude of internet addiction of 35% which is less compared to our study. 25 There is a statistically significant association between professional course and Internet addiction which indicated that medical students were more addicted than the engineering students.…”
Section: Discussioncontrasting
confidence: 77%
“…19,20 Prevalence rates ranging from 20% to 65% were reported in many studies done in various parts of the world. 2,[6][7][8]11,13,15,19 Possible reasons for this are: (a) students have huge blocks of unstructured time, (b) First time away from parental control without anyone monitoring or censoring what they say or do online, (d) young students experience new problems of adapting to college life and finding new friends, and often end up seeking a companionship by using different applications of the Internet, (e) students desire to escape university sources of stress resulting from their obligations to pass exams, and complete their degrees in the prescribed time with reasonable marks, all of which make Internet overuse a significant cause of concern for parents and faculty. 11 Among the study subjects, 32.7% students reported mild addiction, 24% students reported moderate addiction and 1% reported severe addition.…”
Background: The spectacular growth of technology has made Internet use, the most popular recreational and academic activity for the college students. With the rise of new-generation gadgets, the risk of “internet addiction” is a significant issue of concern. Internet addiction leads to social and psychological problems such as depression, loneliness, low self-esteem and life satisfaction and other mental health problems and a greater impact on their academics. The objective of the study was to determine the association between internet addiction and depression and to know the effect of gender on internet addiction.Methods: A cross-sectional study was carried out on the professional course students from Hassan Institute of Medical Sciences (Government Medical College) and Government Engineering College. A total of 300 students were assessed for internet addiction using Young’s internet addiction test and depression was assessed using Beck’s depression inventory-II.Results: Out of the 300 professional college students, 173 (57.7%) were found to be internet addicted and 67 (38.7%) among them were found to be depressed and a statistically significant association (p<0.05, OR 3.6, 95% CI 2.02–6.39) was found. Males were found to be more addicted than females and it was statistical significant.Conclusions: Internet Addiction is common among the college students and adequate steps have to be taken to prevent the students from falling into addiction which is considered as a mental health issue. Knowledge regarding the safe use of internet has to be provided to students.
“…21,1 Similar studies showed that the magnitude of Internet Addiction ranges between 20% to 40% which is less when compared to our study. 1,2,[22][23][24] A study carried out among Engineering students in Tamil Nadu by Deepa Sankar et al showed a magnitude of internet addiction of 35% which is less compared to our study. 25 There is a statistically significant association between professional course and Internet addiction which indicated that medical students were more addicted than the engineering students.…”
Section: Discussioncontrasting
confidence: 77%
“…19,20 Prevalence rates ranging from 20% to 65% were reported in many studies done in various parts of the world. 2,[6][7][8]11,13,15,19 Possible reasons for this are: (a) students have huge blocks of unstructured time, (b) First time away from parental control without anyone monitoring or censoring what they say or do online, (d) young students experience new problems of adapting to college life and finding new friends, and often end up seeking a companionship by using different applications of the Internet, (e) students desire to escape university sources of stress resulting from their obligations to pass exams, and complete their degrees in the prescribed time with reasonable marks, all of which make Internet overuse a significant cause of concern for parents and faculty. 11 Among the study subjects, 32.7% students reported mild addiction, 24% students reported moderate addiction and 1% reported severe addition.…”
Background: The spectacular growth of technology has made Internet use, the most popular recreational and academic activity for the college students. With the rise of new-generation gadgets, the risk of “internet addiction” is a significant issue of concern. Internet addiction leads to social and psychological problems such as depression, loneliness, low self-esteem and life satisfaction and other mental health problems and a greater impact on their academics. The objective of the study was to determine the association between internet addiction and depression and to know the effect of gender on internet addiction.Methods: A cross-sectional study was carried out on the professional course students from Hassan Institute of Medical Sciences (Government Medical College) and Government Engineering College. A total of 300 students were assessed for internet addiction using Young’s internet addiction test and depression was assessed using Beck’s depression inventory-II.Results: Out of the 300 professional college students, 173 (57.7%) were found to be internet addicted and 67 (38.7%) among them were found to be depressed and a statistically significant association (p<0.05, OR 3.6, 95% CI 2.02–6.39) was found. Males were found to be more addicted than females and it was statistical significant.Conclusions: Internet Addiction is common among the college students and adequate steps have to be taken to prevent the students from falling into addiction which is considered as a mental health issue. Knowledge regarding the safe use of internet has to be provided to students.
“…A total score of 20 indicated no signs of IA, while a total score of 100 represented the most severe IA. We adopted the following criteria, which were used in previous studies: total scores from 20 to 39 were defined as average usage; scores from 40 to 69 were considered to represent frequent problems due to Internet usage; and scores from 70 to 100 were considered to indicate significant problems caused by Internet usage 26–28. Using the above-mentioned cutoff scores, IAT was validated by Widyanto and McMurran, and psychometric properties were analyzed 27…”
Backgrounds and aims
While the Internet became an indispensable component of our contemporary life, public and academic attention is also gathered to its negative impact, namely Internet addiction (IA). Although clinicodemographic and behavioral factors are hypothetically implicated in the mechanism of IA, it still remains largely unknown how such factors are linked to IA severity. Thus, this study sought to examine relationships among IA severity and factors potentially associated with IA in Japanese students in different educational stages.
Methods
We conducted a questionnaire-based survey, which included questions about types of online activities and clinicodemographic information, the IA test for IA severity, and the K6 scale for psychological distress in 3,224 students at elementary, junior, and senior high schools, and universities. A multiple regression analysis was performed to predict IA severity with clinicodemographic and behavioral factors.
Results
IA severity was significantly positively related to the following factors: e-messaging, social networking services (SNS), games, holiday Internet usage, and K6 scores, while IA severity had negative correlation with using Internet for educational purposes, age of first exposure to the Internet, and sleep duration. Age was not related to IA severity among participants using both SNS and e-messaging.
Conclusions
IA was linked to various online activities and the degree of psychological distress. This indicates the importance of comprehensive assessment of online behavior and psychological factors for further understanding of IA.
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