دوره 10، شماره 4 - ( 9-1400 )
جلد 10 شماره 4 صفحات 336-328 |
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Priyanka, Pal R. Internet Addiction and the Pattern of Internet Use among Under Graduate Medical Students: A Cross- Sectional Study from North India. JCHR 2021; 10 (4) :328-336
URL: http://jhr.ssu.ac.ir/article-1-671-fa.html
URL: http://jhr.ssu.ac.ir/article-1-671-fa.html
Internet Addiction and the Pattern of Internet Use among Under Graduate Medical Students: A Cross- Sectional Study from North India. مجله تحقیقات سلامت. 1400; 10 (4) :328-336
چکیده: (1454 مشاهده)
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.
Methods: 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% and42.9% 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.
Methods: 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% and42.9% 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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