Internet Addiction In Medical Students Research Articles

Study about frequency, distribution and determinants of internet addiction in medical students of Khyber Pakhtunkhwa, Pakistan

Abstract: Background: Due to ease of access and affordability, globally 4.95 billion people are using the internet for multiple purposes. However, this use has resulted in the emergence of some novel problems. Objective: Our objectives were to find the frequency and distribution of internet addiction by gender and type (public/private sector medical students) in medical student of KPK. Methodology: This was an analytical cross-sectional study. A sample size of 365 was calculated using the Raosoft SPSS calculator. The sampling procedure was conducted through the non-probability consecutive technique. The data collection was carried out by using Young IAT scoring criteria. Demographic variables were sex and the type of medical student of KPK. The Chi-square test was used to find an association between variables. Result: Out of total 365 participants, 205(56%) were male and 160(43.8%) were female. According to the Young’s IAT form, 172(47.1%) were normal users 173(47.4%)were problematic and 20 (5.8%) were internet addicts. There was no statistically significant association between internet addiction with sex and the type of students with a p-value of 0.589 and 0.654. Conclusion: In our study, there was no significant association between internet addiction with gender and the type of medical student.

Prevalence and Determinants of Internet Addiction in Medical Students at a Government Medical College in Uttar Pradesh, India

Introduction: The issue of Internet addiction is rampant amongst medical students as they are vulnerable due to personal, social and academic pressure. It is plausible to foresee a future where this seemingly harmless pastime leads to dire consequences on the mental as well as physical well-being of students.Objectives: This study aims to find out the prevalence of internet addiction among undergraduate students. The study also aims to figure out various determinants and factors that are associated with addiction, such as gender differences, the professional year of the medical student and the main purpose of internet use.Methods: A study was conducted at LLRM Medical College, Meerut, and it included 354 students selected by simple random sampling. They filled out a questionnaire with the first part regarding socio-demographic details and the second part of it is Young’s internet addiction test. According to the score, the students were categorized into normal users (<30), mild addiction (30–50), moderate addiction (50–80) and severe addiction (80–100).Results and discussion: Out of 354 students, 31.63% are mildly addicted, 33.05% are moderately addicted and 3.96% are severely addicted. The remaining 31.35% comprises the normal users. Therefore, a total of 68.64% of students are addicted. The factors associated with a higher risk of addiction are found to be male gender, using social media and first year of college.Conclusion: The increasing prevalence of internet addiction should prove eye-opening for medical students to make better use of their free time by doing productive activities. They must keep an active check regarding their daily screen time.

A cross sectional study to assess prevalence of internet addiction and its relationship with personality traits and associated psychiatric conditions in undergraduate medical students of an Indian university

Background: In India, 622 million internet users were found out of which our nationally representative data suggest that about 20% to 40% of college students in India are at risk for internet addiction (IA). Therefore, the research on its addiction is on the rise and is an established concern. Objectives: To study the prevalence of internet addiction in undergraduate medical graduates associating its impact, on personality traits and psychiatric conditions like depression, anxiety and stress. Methods: It is a cross sectional study based on undergraduate medical students of Jawaharlal Nehru Medical College, Wardha. It is a convenience based sampling method and a Krejcie-Morgan Formula is used. Using this, the sample size came out to be 300. Clearance from the ethics committee will be obtained. An informed consent from the students will be taken, thereafter they will be asked to fill socio demographic data and then will be subjected to the following questionnaires: 1)Young’s Internet addiction test 2) DASS 21 3)Brief Big Five inventory scale Results: We will be able to determine the prevalence of internet addiction among medical students after we have the results from the aforementioned questionnaires, their personality traits and development of psychiatric co- morbidities like depression, anxiety and stress. Conclusions: We’ll be able to know the prevalence of internet addiction in medical students, their personality traits and the development of psychiatric co- morbidities like depression, anxiety and stress.

Latent profile analysis for health-related quality of life, sleep quality, morning and evening type, and internet addiction among medical students

Health-related quality of life, sleep quality, morning and evening types, and internet addiction are of significant importance to the development of medical students, yet they have rarely been studied. Taking this into consideration, the study aimed to confirm latent profiles in health-related quality of life, sleep quality, morning and evening types, and internet addiction in medical students and investigate the characteristics of participants in each profile to provide suggestions for students’ health. This was an observational cross-sectional study including 1221 medical student subjects at China Medical University in 2019. Multiple correspondence analysis was the initial step to verify the correspondence, dispersion, and approximation of variable categories. Latent profile analysis was used to identify the multiple correspondences between the levels of variables. Three profiles were found, including: (1) The Low sleep quality profile was characterized by the lowest sleep quality among the three existing profiles. (2) The High health-related quality of life and Low internet addiction profile was characterized by the highest level of health-related quality of life but the lowest level of internet addiction. (3) The Low health-related quality of life and High internet addiction profile was characterized by the highest standardized values of internet addiction but the lowest standardized values of health-related quality of life. This study had important implications for improving student health and supported the medical universities and hospitals in implementing targeted policies based on distinctive student characteristics.

Prevalence of internet addiction among medical and non-medical students of International Islamic University Malaysia (IIUM), Kuantan

Internet addiction has become a serious problem with the increasing internet use, especially among college students and adolescents. Most of the available literature on internet addiction among college students was mainly related to medical students and showed a disturbing prevalence, however, this is not widely studied among non-medical students. This study describes the prevalence and factors associated with internet addiction among medical and non-medical students at International Islamic University Malaysia (IIUM), Kuantan. A total of 107 medical and 104 non-medical students of IIUM Kuantan participated in this cross-sectional study conducted from July 15, 2019, to August 25, 2019, using random sampling. The Internet Addiction Test (IAT) was distributed through social media platform. Descriptive statistics were used to describe the prevalence and socio-demographic characteristics of the respondents, while binary logistic regression was used to identify respondents’ factors associated with internet addiction. The results showed that 67.3% of medical students and 65.4% of non-medical students were moderately addicted to the Internet. The significant predictors of internet addiction in medical students are age (OR 0.235 95% CI 0.068-0.812) and duration of internet use of 4-6 hours (OR 0.235 95% CI 0.068-0.812). Among non-medical students, the significant predictors were social networking (OR 0.137 95% CI 0.003-0.636), Internet TV (OR 3.574 95% CI 1.057-12.08), and time spent on the Internet from 4-6 hours (OR 0.247 95% CI 0.06-0.91). The prevalence of internet addiction among medical and non-medical students at IIUM Kuantan is of concern. Early identification based on these findings for each medical and non-medical faculty can be tailored to ensure successful intervention.

Impulsivity, inhibition, and internet addiction in medical students of North of Iran.

Internet addiction, a serious psychological disorder, has rapidly increased among students and caused substantial interpersonal impairments. On the other hand, some evidence has indicated that impulsivity is associated with addictive behaviors. There are a few studies concerning the relationship between internet addiction and impulsivity in Iranian students. Therefore, this study aimed to evaluate the relationship between impulsivity and internet addiction in the medical students of Golestan University of Medical Sciences, Golestan, Iran, within 2020-2021. In a cross-sectional study, 260 medical students at Golestan University of Medical Sciences in 2021 completed demographic, Barratt Impulsiveness Scale, and Young questionnaires and participated in a Go/No-Go computer test. Based on Young test scores, the students were divided into three groups of normal users, at-risk users, and users requiring treatment and compared regarding impulsivity and inhibition ability. Data was analyzed using SPSS v 23. The mean age of the participants was 24.16 years. The results showed a significant correlation between impulsivity and internet addiction (p = 0.001), which was established in all contextual indicators. A significant correlation was also shown between impulsivity and internet addiction (r = 0.602 and p = 0.001), both in male and female student. However, restraint index was correlated with internet addiction only in females (r = 0.187 and p = 0.033). Based on these findings, impulsivity increases alongside the rising of the internet addiction severity and does not influence by gender.

A study on the prevalence of internet addiction in medical students

Introduction:Internet addiction is defined as "the inability to control the use of Internet that leads to feelings of pressure, anxiety and dysfunctional behaviours in everyday activities". The phenomenon of reckless use of the Internet by young people has taken enormous dimensions and has created problems for the mental and social functioning leading them to addiction. Aim & Objectives: Study the prevalence of internet addiction in MBBS intern students in our college. Methodology: This study is a cross-sectional study conducted at Index Medical College Hospital and Research Centre, Indore for duration of 6 Months. Subjects were interns taken from MBBS batch 2017 fulfilling the inclusion criteria. Result: In the present study, 102 (52%) were from male students and 98 (48%) from female students. The age group was 18-25 and they are intern students. It was observed that student go late for night sleep, they are deprived of good sleep duration as the college starts at 8 for about 93% of the students, and 68% of the students had social media and internet as a reason for sleeping late at night for academic or non-academic purpose. In this study, 39% to 45% of the students slept for fewer hours than the recommended sleep duration because of late-night social media site use. 54% students answered that they don’t believe their life would be boring without internet, while the 18% stated they cannot live without internet use, believing that their life would be vain. 10% students said they felt very annoyed while they were busy on Internet while the remaining 18% said they were not particularly bothered. Conclusion: Internet offers incredible possibilities; it feeds us with information, news, entertainment, etc. It is a useful interactive tool, which facilitates our everyday life when used reasonably. Further our study reported that, excessive social media use decreases social face to face interaction. This has a negative impact on social well-being and can lead to depression, anxiety, and mood swings.

Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students.

ObjectiveExcessive internet use has been associated with various psychiatric symptoms and psychosocial factors. This study aimed to investigate the prevalence of internet addiction (IA) and its associations with clinical (depression/social anxiety) and psychosocial (self-esteem/perceived social support) factors in medical students. MethodsIn total, 408 medical students at one university in Korea were included in this study. IA symptoms were assessed with Young’s Internet Addiction Test, and scores of 50 or higher were considered to indicate IA. Participants were asked to complete the Beck Depression Inventory, Social Phobia Inventory, Rosenberg Self-Esteem Scale, and Duke-University of North Carolina Functional Social Support Questionnaire. A logistic regression model was constructed to examine the impact of clinical and psychosocial factors on IA. ResultsForty-seven participants (11.5%) were identified as having IA. Self-esteem was associated with a lower risk of IA, whereas depression and social anxiety were associated with a higher risk of IA. Depression, social anxiety, low self-esteem, and low perceived social support were found to be significant correlates of IA. Young’s Internet Addiction Test score positively correlated with Beck Depression Inventory and Social Phobia Inventory scores, but negatively correlated with Rosenberg Self-Esteem Scale and Duke-University of North Carolina Functional Social Support Questionnaire scores. Furthermore, the prevalence of IA was highest in first-year medical students. ConclusionThis study revealed the possible risk and protective factors of IA. Our findings indicate that strengthening self-esteem and reducing depression and social anxiety may contribute to the prevention and management of IA in medical students.

Frequency and risk factors of internet addiction in medical students: A cross-sectional study.

To find out the frequency of internet addiction and to determine the risk factors associated with such addiction in medical students. The descriptive cross-sectional study was conducted at the Rawalpindi Medical University, Rawalpindi, Pakistan, from July 2018 to August 2019, and comprised medical students from all academic years aged 18-25 years who had been using the internet for at least the preceding two years. Data was collected using a self-administered questionnaire. Data was analysed using SPSS 25. Of the 380 subjects, 37(9.7%) had no addiction, while 343(90.3%) had some level of addiction; 222(58.4%) mild, 115(30.3%) moderate, and 6(1.6%) severe. Online friendships, online relationships, online chatting, online shopping, online games and online series/movies were significant risk factors (p<0.05). The frequency of internet addiction was found to be high among medical students, but it was mostly of the mild type.

The Frequency and Related Factors of Internet Addiction in Externship and Internship Students of Kerman University of Medical Sciences, 2018

Introduction: Internet addiction is a global phenomenon with an increasing trend in university students. The aim of this study was to investigate the frequency and factors affecting internet addiction in externship and internship medical students of Kerman University of Medical Sciences in 2018.&#x0D; Methods: This cross-sectional study was carried out on externship and internship medical students of Kerman University of Medical Sciences in 2018 during a 6-month period using convenience sampling method. In this study, the valid and reliable self-administered questionnaire of “Kimberly-Young internet addiction questionnaire” was used to collect the research data. The attainable scores in this questionnaire range from 20 to 100, so that higher scores show greater dependence on the Internet. Data were analyzed by SPSS version 20 using the Chi-square test. A significant level was set at lower than 0.05.&#x0D; Results: Among the participants, 46 participants (18.4%) were normal users, 127 (50.8%) were at risk, and 77 (30.8%) were addicted to the Internet. Among the demographic factors, a significant relationship was found between gender (p = 0.041) and educational level (p = 0.024) with Internet addiction.&#x0D; Conclusion: policymakers should pay particular attention to the issue of Internet addiction in medical students, since Internet addiction may cause these students to neglect their critical duties during externship and internship. In this regard, holding effective training courses can be helpful.

Parenting style and personality correlates of internet addiction: A cross-sectional study

Aim: The aim of this study was to assess the prevalence of Internet addiction (IA) and its correlation with personality traits and perceived parenting styles in college-going students. Materials and Methods: The current cross-sectional study was done at a medical college in a semi-urban area near Pune. A total of 623 university students were included in the study with their consent. They completed a questionnaire assessing sociodemographic background and Internet usage pattern, Young's IA scale to assess IA, the Big Five Inventory for assessing personality traits, and Short-Form Egna Minnenav Barndoms Uppfostran (My Memories of Upbringing) scale for measuring perceived parenting styles. Results: The prevalence of IA in medical students was 56.81% (mild IA: 49.59%, moderate IA: 7.22%). Neuroticism showed a significant positive correlation with IA, whereas extroversion, openness to experience, agreeableness, and conscientiousness showed a significant negative correlation. In perceived parenting styles, rejection and overprotection had a significant positive relation and emotional warmth had a significant negative relation with IA. Conclusion: Neuroticism, rejection, and overprotection by parents were positively associated with IA. Personality traits of extroversion, openness to experience, agreeableness, conscientiousness, and emotional warmth by parents were negatively associated with IA.

English

BACKGROUND Internet is a widely used tool. With its addictive property, this may lead to public health problems. The study intended to assess the prevalence &amp; risk factors for Internet addiction in medical students of Manipur. METHODS This is a cross-sectional study conducted among medical students of Jawaharlal Nehru Institute of Medical Sciences (JNIMS) using Young’s 20-items Internet Addiction Test (IAT) questionnaire. RESULTS The response rate was 83.79 %. About 1 / 5 th of the students were Internet users with frequent or significant problems in their life. CONCLUSIONS About 1 / 5th of students in JNIMS reported problems from use of Internet. Semester, age, sex &amp; religion of the students did not have any relationship with Internet addiction scores. KEYWORDS Internet Addiction, Validity, Reliability

Unraveling the net of self-esteem, stress, and coping skills in the era of internet addiction

Introduction: Internet is one of the most popular forms of media, but heavy use may result in negative effects like decreased self-esteem. New and unexpected life changes in medical students cause increased perception of stress leading to internet addiction as a way of coping. The purpose of this study was to assess the prevalence of internet addiction in medical students, to assess the level of perceived stress and self-esteem in them, and to obtain the correlation between internet addiction with perceived stress as well as self-esteem. Various coping strategies implemented by students using internet were found. Methodology: A cross-sectional study with 200 students recruited by stratified random sample technique was undertaken. After taking informed consent, participants were assessed on Young's internet Addiction Test (YIAT-20), Rosenberg's Self-Esteem Scale, Cohen's Perceived Stress Scale-10, and Brief COPE Scale. Two groups were made using YIAT-20, those having internet addiction and those without, the two being compared. Results and Discussion: Mean age of medical students was 19.16 years (±1.45). Meantime of internet usage was 107.15 min (±67.99) per student per day. The prevalence of internet addiction was 18%. The group of students that had internet addiction showed high perceived stress (P = 0.001) and low self-esteem (P < 0.0001). Internet use had a positive correlation with perceived stress (r = 0.2866) and a negative correlation with self-esteem (r = −0.2918). Students with internet addiction used more emotion-based coping skills rather than task-oriented coping skills (P = 0.0032). Conclusions and Implications: Medical students having internet addiction were found to have higher levels of perceived stress, lower levels of self-esteem and predominantly emotion-based coping skills when compared to students having average internet use who have task-oriented coping skills.

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

In today's world, despite the numerous benefits, increasing demand for computer technology and the influence of widespread internet technology, many people, especially students, have faced impaired mental health and social relationships resulting from internet addiction; therefore, with regard to the contradictory results of preceding studies in the field of internet addiction, this study was designed to determine the prevalence of internet addiction in students of Ahvaz Jundishapur University of Medical Sciences. This descriptive study was conducted on all students of Ahvaz Jundishapur University of Medical Sciences. For data collection questionnaire and demographic profile of internet addiction test was used. The results showed that internet addiction is common among university students (t = 23.286, p < 0.001). Internet addiction is significantly different between males and females and more prevalent in the male users (t = 4.351, p = 0.001). The prevalence of internet addiction in various categories was 1.6% normal, 47.4% mild, 38.1% moderate, and 12.9% severe. Our analysis also showed a significantly higher proportion of senior students with severe internet addiction (16.4%) compared to junior students (χ2 = 30.964; p < 0.001). Based on the findings of this study it can be concluded that there is a considerable internet addiction in medical students, and to prevent risks and complications, health considerations and proper treatments seem to be necessary.

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

The Effects of Personal Susceptibility and Social Support on Internet Addiction: an Application of Adler’s Theory of Individual Psychology

The aim of the present study was to examine the addictive effects of personal susceptibility and social support from family, friends, and significant other on Internet addiction. In this study, 207 medical students completed the UCLA Loneliness Scale, the Academic Expectations Stress Inventory, the Multidimensional Scale of Perceived Social Support, and the Young’s Diagnostic Questionnaire for Internet addiction. Participants were recruited via simple random sampling technique. Personal susceptibility variables such as loneliness, academic stress due to other expectations, and academic stress due to self-expectations were significantly positively correlated to, and all domains of social support were significantly negatively correlated to, Internet addiction. After adjusting for demographic variables, social support emerged as a significant predictor of Internet addiction in the hierarchical regression analysis. In support of Adler’s individual psychology theory, the present findings suggest that social support from family is a valuable adjunct to prevention and intervention programs aimed at alleviating Internet addiction in medical students.

Prevalence of Internet Addiction in Medical Students: a Meta-analysis.

With the development of online learning, communication, and entertainment, the Internet has become an indispensable tool for university students. Internet addiction (IA) has emerged as a health problem and the prevalence of IA varies from country to country. To date, the global prevalence of IA in medical students remains unknown. The objective of this meta-analysis was to establish precise estimates of the prevalence of IA among medical students in different countries. The pooled prevalence of IA among medical students was determined by the random-effects model. Meta-regression and subgroup analysis were performed to identify potential factors that could contribute to heterogeneity. The pooled prevalence of IA among 3651 medical students is 30.1% (95% confidence interval (CI) 28.5-31.8%, Z=-20.66, df=9, τ 2=0.90) with significant heterogeneity (I 2=98.12). Subgroup analysis shows the pooled prevalence of IA diagnosed by the Chen's Internet Addiction Scale (CIAS) (5.2, 95% CI 3.4-8.0%) is significantly lower than Young's Internet Addiction Test (YIAT) (32.2, 95% CI 20.9-45.9%) (p<0.0001). Meta-regression analyses show that the mean age of medical students, gender proportion and the severity of IA are not significant moderators. In conclusion, this meta-analysis identified the pooled prevalence of IA among medical students is approximately five times than that of the general population. Age, gender, and severity of IA did not account for high heterogeneity in prevalence, but IA assessment questionnaire was a potential source of heterogeneity. Given the high prevalence of IA, medical teachers and medical school administrators should identify medical students who suffer from IA and refer them for intervention.

Effect of Gender and Physical Activity on Internet Addiction in Medical Students

Objective:To determine the effect of gender and physical activity on internet addiction in medical students.Methods:In this cross sectional, analytical study Young’s internet addiction test questionnaire was distributed to 350 MBBS students of Army Medical College, Rawalpindi. The study was conducted from January to May 2015. A dichotomous response from students regarding physical activity was obtained which was verified from the sports department of the institution. Based upon total score, internet addiction was categorized as no addiction if the score was less than or equal to 49, moderate addiction when the score was 50 to 79 and severe when the score was 80 to 100.Results:Out of 322 respondents 175 (54.3%) were males and 147 (42.7%) females with a mean age of 19.27±1.01 years. Total internet addiction score and frequency of internet addiction were similar between males and females (37.71±11.9 vs 38.63±14.00, p=0.18 and 25 vs 29, p=0.20). However, total score and frequency of internet addiction were higher in students lacking physical activity as compared to those with regular physical activity (40.37±15.05 vs 36.38±11.76, p=0.01 and 30 vs 24, p=0.01).Conclusion:Internet addiction is unrelated to gender however it is inversely related to physical activity.

Description of Internet Addiction among Chilean Medical Students: A Cross-Sectional Study

Internet addiction (IA) has been described as an emerging behavior related to the development of new technologies, with scarce studies on the subject and none involving medical students. The Internet Addiction Test (IAT) is a screening instrument used to detect IA worldwide, which was published in 1998 and inspired by the DSM-IV criteria for pathologic gambling. The objective of this study aims to measure the prevalence of IA in Chilean medical students and its possible association with demographic variables and depressive symptoms. First- to fifth-year undergraduate medical students at a medical school in Santiago de Chile answered a self-administered survey that included demographic data, the IAT scale, and the Goldberg's General Health Questionnaire (GHQ-12) to screen for IA and depressive symptoms, respectively. Three hundred eighty-four students participated, achieving a response rate of 69.8 %, of which 11.5 % were classified as problematic users according to the IAT. The authors found a statistical association between positive results on the IAT and positive scores on the GHQ-12, as well as with the male gender. In this first study of IA in medical students, the authors found a rate of incidence similar to what has been published in the literature focusing on college students. Additionally, there was a positive association between emotional symptoms and other abuse behaviors.