Psychometric Properties of the Persian Language Version of Yang Internet Addiction Questionnaire: An Explanatory Factor Analysis

Mohammadsalehi, Narges; Mohammadbeigi, Abolfazl; Jadidi, Rahmatollah; Anbari, Zohreh; Ghaderi, Ebrahim; Akbari, Mojtaba

doi:10.5812/ijhrba.21560

Cited by 44 publications

(43 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The total score of each participant was categorized into one of these classes: healthy (score 0 -19), at risk (score 20 -49), moderate dependence (score 50 -79) and severe dependence (score 80 -100) (24). The Persian version of this questionnaire was used in this study (25).…”

Section: Instrumentsmentioning

confidence: 99%

Internet Addiction Based on Personality Characteristics in Medical Students

et al. 2016

View full text Add to dashboard Cite

Background: The Internet has become a fundamental part of modern life, it has given rise to various problematic behaviors. Some of these behaviors, such as prolific use of social media, frequent email checking, excessive online gaming, online buying and gambling, and viewing pornography cause significant impairment in everyday functioning of some individuals. Different researchers studied psychological aspects like impulsive compulsive spectrum, anxiety and depression in internet addicts. Objectives: The aim of this study is to examine the relationship between internet addictions and different aspects of personality in medical students. Methods: In this cross, sectional study the purpose was to assess all 687medical students of medical faculty of Shiraz University of Medical Sciences. 364 students showed their contention for participating in the study by filling the consent form. Finally 278 valid questionnaires were collected. They responded to the demographic questions in the questionnaire such as age, sex, marital status, student accommodation, entrance year to university, student residence place and also internet addiction test was performed and NEO five-factor inventory short form (NEO-FFI) was filled. Results: 55% of participants show internet addiction, with distribution of 51.4% mild, 2.9% moderate and 0.4% severe addiction. Internet addiction and personality traits of extraversion (The correlation coefficient =-0.118, P = 0.05), agreeableness (The correlation coefficient =-0.379, P = 0.001) and conscientiousness (The correlation coefficient =-0.21, P = 0.001), showed significant negative correlation, but its correlation with neuroticism (The correlation coefficient = +0.2, P = 0.001) was significantly positive. Internet addiction scores among students in semester five and eleven prior to the comprehensive basic science test (26.52 ± 9.8) and comprehensive pre-internship test (28.57 ± 19.2) were higher than the other academic years. Conclusions: The prevalence of Internet addiction in this study was higher compared to similar studies in other fields which led to the concerns regarding the extent of the problem. More internet addiction among students in 4th and 10th semester reveals the need for being efficiently trained in order to deal with stress in critical condition and also to maintain positive academic performance. Correlation of some aspects of personality traits with internet addiction, suggested initial assessment of medical students' personality by screening tools and identification of populations at risk. This may prove a need for favorable methods for initiation of prevention.

show abstract

Section: Instrumentsmentioning

confidence: 99%

Internet Addiction Based on Personality Characteristics in Medical Students

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Furthermore, the validity of the questionnaire was confirmed by three experts using the content validity index (0.84), and its reliability was confirmed using the test-retest (0.88) by 20 medical students using Cronbach's alpha (0.87) within two weeks. The reliability and validity of this tool have been reported above 90% in previous studies (34)(35)(36)(37)(38).…”

Section: Methodsmentioning

confidence: 68%

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

Lebni¹,

Toghroli²,

Sharma³

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: The internet itself is a harmless technology. However, its overuse and misuse will expose its users to internet addiction. On the other hand, diagnosis of students’mental dysfunction is of prime importance, and their progress and academic success in the future can be prevented by this technology if not properly handled. Methods: In this descriptive and correlational study, the statistical population consisted of all students at Kermanshah University of Medical Sciences, of which 447 students studying in the first and second semesters of the academic year 2017-18 were selected through Cochran's Sample Size Formula and Stratified Random Sampling. As for data collection, the Young's Internet addiction Test (IAT) and Goldberg General Health Questionnaire (GHQ-28) were utilized. Moreover, for data analysis, the descriptive statistics (percentage, mean, standard deviation) and inferential statistics (T-test, Pearson correlation coefficient, and multiple regression analysis) were employed in the environment of SPSS Statistical Software Version 23.0. Results: The results of the present study demonstrated that the total mean score of students’ internet addiction and mental health measured 3.81±0.88 and 2.56±0.33, respectively. The results also indicated that internet addiction correlared positively with depression whereas negatively with mental health (P<0.001). Besides, the results of multiple regression analysis revealed that the five major predictors of vulnerability to internet addictionin university students were as follows: the key reason for using the internet, faculty, depression, the main place for using the internet, and somatic symptoms. Conclusions: According to the findings of the present study, it can be concluded that students’ excessive use of the internet leads to depression, anxiety, and reduced mental health, thereby affecting their academic performance. Hence, it is suggested that further monitoring and control be exercised on how the internet is used by university students, and they should be informed of the detrimental effects of this technology in the case of misuse or overuse.

show abstract

“…Furthermore, the validity of the questionnaire was confirmed by three experts using the content validity index (0.84), and its reliability was confirmed using the test-retest (0.88) by 20 medical students using Cronbach's alpha (0.87) within two weeks. The reliability, as well as the validity of this tool, have reported above 90% in previous studies [31,[33][34][35][36].…”

Section: Methodsmentioning

confidence: 89%

The impact of internet Addiction and predictor factors on medical students: a cross-sectional study in western Iran

Kianipour¹,

Toghroli²,

Abbas³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments.Methods: This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed 753 questionnaires among the respondents’ three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017-2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 24 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA).Results: The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84±2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29±0.73, 3.17±0.92, and 3.57±0.64 correspondingly. The survey results illustrated that medical students’ internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet (p<0.05).Conclusions: The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students’ healthy behavior.

show abstract

Psychometric Properties of the Persian Language Version of Yang Internet Addiction Questionnaire: An Explanatory Factor Analysis

Cited by 44 publications

References 30 publications

Internet Addiction Based on Personality Characteristics in Medical Students

Internet Addiction Based on Personality Characteristics in Medical Students

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

The impact of internet Addiction and predictor factors on medical students: a cross-sectional study in western Iran

Contact Info

Product

Resources

About