Prevalence of internet addiction among medical students: a study from Southwestern Iran

Global prevalence of internet addiction among university students: a systematic review and meta-analysis

PURPOSE OF REVIEW

The prevalence of internet addiction among university students has been extensively studied worldwide, however, the findings have been mixed. This meta-analysis aimed to examine the global prevalence of internet addiction in university students and identify its potential moderators.

RECENT FINDINGS

A total of 101 eligible studies, comprising 128020 participants across 38 countries and territories, were included. The pooled global prevalence of internet addiction among university students was 41.84% [95% confidence interval (95% CI): 35.89-48.02]. Significant differences in the prevalence were observed across different income levels, regions, periods of COVID-19 pandemic, and cut-off values of the Internet Addiction Test (IAT). Sample size was negatively associated with internet addiction prevalence, while depression prevalence was positively associated with internet addiction prevalence. Male students had a significantly higher risk of internet addiction compared to female students [pooled odd ratio (OR): 1.32, 95% CI: 1.19-1.46].

SUMMARY

This meta-analysis found that the prevalence of internet addiction was high among university students, which has increased since the COVID-19 pandemic. Screening and intervention measures to address internet addiction should prioritize students with an increased risk including male students, those from lower-income regions and those with depression.

Association Between Internet Use, Sleep, Cognition and Physical Activity Levels During COVID-19 Lockdown

Purpose

The purpose of this study was to compare internet usage, sleep, cognition and physical activity in college professors and collegiate students during COVID-19 lockdown and to study the association of internet overuse with sleep quality, cognition and physical activity during the COVID-19 lockdown.

Methods

A sample of 125 participants {professors (n = 52) and collegiate students (n = 73)} was recruited from Jamia Hamdard, New Delhi, India. Criteria for inclusion were college professors and collegiate students who uses internet. Both the groups were assessed for internet usage (Internet Addiction Test), sleep quality (Pittsburgh Sleep Quality Index), cognition (Cognitive Failure Questionnaire) and physical activity (Global Physical Activity Questionnaire) via google forms.

Results

There was a significant difference for internet usage (p < 0.05), sleep quality (p = 0.032), cognition (distractibility, p = 0.019) and physical activity in college professors and collegiate students. It has been also reported that there was a significant association of internet usage with sleep quality and cognition and sleep quality with cognition.

Conclusion

Students have more problematic internet usage, bad sleep quality, more cognitive failures and less physical activity than college professors during pandemic lockdown. It has been also observed that problematic internet usage has correlation with sleep quality, cognition and physical activity.

Prevalence and determinants of Internet Addiction among medical students and its association with depression

BACKGROUND

Internet addiction has been a topic of discussion in the academic literature for many years. As of April 2020, about 60 % of the world's population (nearly 4.6 billion people) were active internet user in their early adulthood. The prevalence among adolescent and college students ranged from 0.9 % to 33 %. The current study aimed to explore internet addiction's prevalence and correlates among undergraduate medical students at an Egyptian university. Also, to assess the relationship between internet addiction, depression symptoms, and socioeconomic status.

METHODS

A cross-sectional study of 321 undergraduate medical students at Assiut University using the Internet Addiction Scale, Patient Health Questionnaire, and Family Affluence Scale.

RESULTS

About 9 % of the study participants screened positive for internet addiction. The most important determinants among medical students were sex, mother's employment status, family affluence, depressive symptoms, and unmonitored internet access.

LIMITATIONS

We did not investigate another psychiatric disease, daily time of internet usage, most frequent time of usage, type of internet usage, and cost of use.

CONCLUSIONS

Internet Addiction is an important psychological problem affecting about 9 % of Assiut university medical students during their undergraduate stage, which may interfere with their lives and studies. Students with lower Internet addiction rates were female students whose mothers were employed, lived in a low affluence family, had fewer depressive symptoms, and had unmonitored internet privacy.

Internet Addiction among Undergraduate Medical Students of a Medical College: A Descriptive Cross-sectional Study

Introduction

Internet addiction denotes the compulsive use of the internet which affects physical, mental, social, psychological and academic aspects of life of an individual. Very few studies among medical students in regard to internet addiction have been conducted. Our study aimed to determine the prevalence of internet addiction among undergraduate medical students of a medical college.

Methods

This is a descriptive cross-sectional study conducted in a medical college from September to December, 2021 after obtaining ethical clearance from the Institutional Review Committee (Registration number: 442). The study was conducted among 229 medical students using convenience sampling technique. Internet addiction test questionnaire was used for collecting data. Data were entered in Google Spreadsheet and analysed with Microsoft Excel 2016. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data.

Results

The prevalence of internet addiction among 229 undergraduate students was found to be 121 (52.84%) (43.95-61.73 at 95% Confidence Interval). Out of them, mild and moderate internet addiction accounted for 90 (74.38%) and 31 (25.62%) respectively.

Conclusions

The prevalence of internet addiction in this study was higher in comparison to the other studies conducted in similar settings.

Keywords

internet addiction; medical students; Nepal; prevalence.

The Relationship of Internet Abusive Use with Academic Burnout and Academic Performance in Nursing Students

Materials and Methods

A total of 184 nursing students were recruited by simple random sampling. Data collection tools included a demographic information form, the Internet Abusive Use Questionnaire and Maslach Burnout Inventory-Student Survey. Data were analyzed by the SPSS-18 software using descriptive and inferential statistics.

Results

The abusive use of the Internet in nursing students was lower than the average level. There was a positive correlation between Internet abusive use and academic burnout (r = 0.305, p < 0.001), but there was a negative correlation between Internet abusive use and academic performance (r = −0.478, p < 0.001). The results of multiple regression analysis showed that Internet abusive use could predict the variance of academic burnout and academic performance.

Conclusions

Internet abusive use was correlated with increased academic burnout and decreased academic performance in nursing students. Educational interventions are required to increase students' awareness of the consequences of Internet abusive use.

Correlates of problematic internet use among undergraduate medical students of Delhi

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.

Internet addiction, substance use and alexithymic dimensions in two different faculties' students

OBJECTIVES

The aim of this study was to evaluate the relationship between internet addiction, substance use and alexithymia among students of education faculty and medical faculty.

METHODS

This cross-sectional analytical study included 1,257 faculty students aged 18 and over, studying at Meram Medical Faculty and Ahmet Keleşoğlu Faculty of Education. Young's Internet Addiction Scale, Toronto Alexithymia Scale, Fagerström Tobacco Addiction Test and CAGE alcohol use tests were applied to collect data.

RESULTS

The mean age of the participants was 21.12 ± 1.96 years, 71% (n = 893) of them were females and 29% (n = 364) were males, 37.9% (n = 477) were training at medical faculty, 62.1% (n = 780) were training at the faculty of education. Of the students, 1.5% were internet addicts, 15.3% were possible addicts, and 22.8% had alexithymia. Internet addiction was higher in those with higher alexithymia scores (p < 0.001). Internet addiction was significantly higher in male students, the third grade, ones with lower academic success, students who work their lessons less than 2 hours a week. Internet addiction was also significantly higher in smokers and alcohol users (p < 0.001). While there was a low negative correlation between the first internet using age and internet addiction (p < 0.001), there was a moderately significant positive correlation between spending uninterrupted time on the internet and internet addiction (p < 0.001).

CONCLUSION

In this study, it was determined that the teacher and doctor candidates, who are studying at the faculties of education and medicine, were at risk of internet addiction. A teacher or a doctor who cannot develop social skills due to excessive internet use will not be a good model to communicate correctly with the target population.

Genetics of OCD and Related Disorders; Searching for Shared Factors

Obsessive compulsive disorder (OCD) and several other obsessive-compulsive related disorders (OCRDs) including hoarding disorder, body dysmorphic disorder (BDD), skin picking disorder, trichotillomania and the newly arising public health conditions of online gaming and gambling disorders, under the umbrella of Problematic Usage of the Internet (PUI), not only share some common phenotypes, but there is evidence to suggest share some genetic risk factors. The simple fact that these disorders segregate within families points to this notion. However, the current data are still scarce. This chapter focuses on identifying the shared genetic factors. To address this question, a systematic review of the literature investigating genetic findings in OCD and OCRDs including PUI was conducted, with a focus on their genetic similarities. Greater knowledge of the specific genetic risks shared among OCRDs would be expected to open new avenues in the understanding of the biological mechanisms causing the development of these phenotypes, as well as provide opportunities to develop new animal and cellular models testing new therapy avenues.

Prevalence of internet addiction and its associated factors among medical students at Taiba University, Saudi Arabia

Background:

This study aimed to determine the prevalence of internet addiction and its associated factors among medical students at Taibah University in Madinah, KSA.

Methods:

This cross-sectional study was conducted among 426 medical students from Taibah University, KSA. The 20-item Internet Addiction Test (IAT) was used to measure internet addiction.

Results:

Most participants (40.8%) used the internet for 5–7 hours/day and mainly for social networking (88.5%) and for downloading media files. Approximately, 6% were classified as internet addicts and 42% had occasional problems. Internet addiction was correlated negatively with performance. Internet addiction was significantly higher among those who used the internet for more than 10 hours/day (P < 0.001), those who used the internet mostly for downloading media files (P = 0.005) and for social networking (P = 0.005).

Conclusion:

Internet addiction among medical students is relatively high. Preventative measures like awareness campaigns are recommended to minimize internet addiction among university students.