Medical undergraduates and pathological internet use: Interplay of stressful life events and resilience

Chakraborti, Amrita; Ray, Prasenjit Sen; Islam, Mehboob U; Mallick, Asim Kumar

doi:10.4103/1658-600x.173835

Cited by 4 publications

(5 citation statements)

References 2 publications

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“…Previous studies have shown that psychological resilience was negatively associated with the risk of Internet addiction in children [ 21 ] and adolescents (β=-0.030) [ 22 ]. Similar associations were found in university students [ 23 , 24 ]. In Korean university students, the correlation coefficient between CD-RISC scores and IAT scores was -0.12 [ 25 ] and smartphone users (mean=59.06) had a significantly lower CD-RISC-determined resilience in at-risk than normal users (mean=66.54) [ 26 ].…”

Section: Introductionsupporting

confidence: 84%

Mediating Effect of Internet Addiction on the Association between Resilience and Depression among Korean University Students: A Structural Equation Modeling Approach

Mak

Jeong

Lee

et al. 2018

Psychiatry Investig

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ObjectiveThis study examined the mediating role of internet addiction in the association between psychological resilience and depressive symptoms. Methods837 Korean university students completed a survey with items of demographic information, Connor-Davidson Resilience Scale (CD-RISC), Internet Addiction Test (IAT), and Patient Health Questionnaire (PHQ-9) in 2015. The complex associations among psychological resilience, internet addiction, and depressive symptoms were delineated using structural equation models. ResultsIn the most parsimonious model, the total effect and indirect effect of resilience on depressive symptoms via internet addiction, were statistically significant. The goodness of fit of the measurement model was satisfactory with fit indices, normed fit index (NFI) of 0.990, non-normed fit index (NNFI) of 0.997, comparative fit index (CFI) of 0.998, root mean square error (RMSEA) of 0.018 (90%CI=0.001–0.034); and Akaike Information Criterion (AIC) of -21.049. ConclusionThe association between psychological resilience and depressive symptoms was mediated by internet addiction in Korean university students. Enhancement of resilience programs could help prevent internet addiction and reduce the related depression risks.

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Section: Introductionsupporting

confidence: 84%

Mediating Effect of Internet Addiction on the Association between Resilience and Depression among Korean University Students: A Structural Equation Modeling Approach

Mak

Jeong

Lee

et al. 2018

Psychiatry Investig

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“…In total, 98 studies in 102 publications met our criteria and were included in the study. Table S1 [ 6 , 7 , 8 , 9 , 10 , 11 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , ...…”

Section: Resultsmentioning

confidence: 99%

“…Given that all of these studies were performed among medical students who would surely be using the Internet for academic purposes, it is noteworthy that many studies do not acknowledge its value, and, if they do, do not measure its use for work. When it is measured, it is then often ignored in the Discussion and not taken into account when interpreting the “addiction”, even when their results indicate high usage for work-related activities (e.g., [ 31 , 36 , 39 , 40 , 41 ] and many others). Chaudhuri et al [ 44 ] recommend that Internet access be curtailed at night and in classes, in spite of finding that 83% of their population use it for work-related activities; Singh et al [ 106 ] find a correlation between IA and Internet usage in the classroom and deem this to be problematic, and do not raise the possibility that this usage may be to look up educational material while in class.…”

Section: Discussionmentioning

confidence: 99%

“…The following are available online at , Table S1: General Description of Studies, Table S2: Detailed Results. References [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 ...…”

mentioning

confidence: 99%

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How Have Researchers Acknowledged and Controlled for Academic Work Activity When Measuring Medical Students’ Internet Addiction? A Systematic Literature Review

Masters

Loda

Tervooren

et al. 2021

IJERPH

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Internationally, medical students’ Internet Addiction (IA) is widely studied. As medical students use the Internet extensively for work, we asked how researchers control for work-related Internet activity, and the extent to which this influences interpretations of “addiction” rates. A search of PubMed, CINAHL, Web of Science, Scopus, and Google Scholar was conducted on the search phrase of “medical students” and “internet addiction” in March 2020. In total, 98 studies met our criteria, 88 (90%) used Young’s Internet Addiction Test, and the studies’ IA rates ranged widely. Little note was taken of work-related activity, and, when discussed, had little to no impact on the interpretation of Internet “addiction”. Studies seldom accounted for work-related activities, researcher bias appears to influence their position, “usage” appears conflated with “addiction”, and correlations between “addiction” and negative behaviours are frequently confused with one-way causation. In spite of IA’s not being officially recognised, few researchers questioned its validity. While IA may exist among medical students, its measurement is flawed; given the use of the Internet as a crucial medical education tool, there is the risk that conscientious students will be labelled “addicted”, and poor academic performance may be attributed to this “addiction”.

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“…Studies by Ranganatha and others from Bengaluru 22.8%, Ratan and co-workers from Maharashtra 23.3% (21% moderate and 2.3% severe), Chakraborti and colleagues from West Bengal 19.3% and Ching et al from Malaysia (36.9%) were some among them. [16][17][18] Some studies conducted among university students also reported higher rates of Internet addiction. A study by Hasanzadeh R and co-workers at Islamic Azad University in Iran 17.6%, Sharma in Udupi 16.3% and a study conducted by Nitu in Ranchi (13.33%) are such studies.…”

Section: Internet Addictionmentioning

confidence: 99%

Pattern of internet use and prevalence of internet addiction among interns of a medical college in Kerala

Daniel¹

2019

Int J Community Med Public Health

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Background: Exponential increase in use of smartphones and availability of internet services makes the students and young doctors prone to internet addiction. The interns are particularly at risk because of their unique communication and academic needs. The study was conducted to evaluate the pattern of use of internet and prevalence of internet addiction among interns.Methods: This cross-sectional study was conducted using an online questionnaire related to internet use and Young’s internet addiction test.Results: All interns were using smartphones and 96.3% of them used internet daily. About 80% of them started using internet before the age of 19 years. Duration of use of internet exceeded three hours a day among 40% of them during weekdays. During the weekends 60% of interns used internet for more than three hours per day. All of them were using internet for communication specially for instant messaging. Another common use was social networking by 90% of them. Educational purpose, file sharing, web browsing and listening to music or news were also done using internet. Prevalence of internet addiction among interns was 47.9% (Mild – 36.3%, moderate – 11.3% and severe – 1.3%).Conclusions: Prevalence of internet addiction is high among the interns. Efforts should be taken to enhance awareness and prevent internet addiction among them.

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Medical undergraduates and pathological internet use: Interplay of stressful life events and resilience

Cited by 4 publications

References 2 publications

Mediating Effect of Internet Addiction on the Association between Resilience and Depression among Korean University Students: A Structural Equation Modeling Approach

Mediating Effect of Internet Addiction on the Association between Resilience and Depression among Korean University Students: A Structural Equation Modeling Approach

How Have Researchers Acknowledged and Controlled for Academic Work Activity When Measuring Medical Students’ Internet Addiction? A Systematic Literature Review

Pattern of internet use and prevalence of internet addiction among interns of a medical college in Kerala

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