The relationship between internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students

Yücens, Bengü; Üzer, Ahmet

doi:10.1016/j.psychres.2018.06.033

Cited by 106 publications

(117 citation statements)

References 44 publications

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“…in Italy (Vigna-Taglianti et al, 2017), 27% among university students in Turkey (Yücens & Üzer, 2018), and between 14% and 33% in a large-scale European study among the participants aged 18 to 87 years old (Laconi et al, 2018).…”

Section: Discussionmentioning

confidence: 96%

Does loneliness, self‐esteem and psychological distress correlate with problematic internet use? A Bangladeshi survey study

Mamun

Hossain

Moonajilin

et al. 2020

Asia-Pacific Psychiatry

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Background: Researchers have claimed that problematic internet use (PIU) and internet addiction (IA) is a global mental health problem. However, little research has addressed this issue in Bangladesh and no previous study has examined the relationship between PIU and potential psychological risk factors.Aim: The present study examined the prevalence of PIU and its associated risk factors including socio-demographic variables, internet use behaviors, and other psychological variables including loneliness, self-esteem, and psychological distress. Methods:A cross-sectional study was conducted among Bangladeshi students (N = 605). Measures included the Internet Addiction Test (IAT), Rosenberg's Self-Esteem Scale, the UCLA Loneliness Scale, and the General Health Questionnaire.Results: Using a cut-off score of ≤60 (out of 100) on the IAT, the prevalence of PIU was 16.5% (n = 100). Regression analysis showed that sleep disturbance (more or less than 6-7 hours sleeping time), not using internet for academic purposes, and online chatting were risk factors for PIU. Loneliness and psychological distress were positively correlated with PIU, whereas self-esteem was negatively correlated. Conclusions:The present study highlights that PIU among Bangladeshi university students is an issue of concern and that targeted prevention is needed among emerging adults to help overcome the potentially negative effects of problematic internet use. K E Y W O R D SBangladeshi students, internet addiction, loneliness, problematic internet use, self-esteem | INTRODUCTIONResearch concerning problematic internet use (PIU) and internet addiction (IA) has become a much-increased research area following the growth of internet technology. IA has been found to be associated and correlated with a variety of psychiatric disorders (eg, substance use disorder, depression, anxiety, stress, loneliness, psychological distress, attention-deficit hyperactivity disorder, self-esteem, hostility, etc.) and the relationships between IA and psychopathology have been studied in many countries

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Section: Discussionmentioning

confidence: 96%

Does loneliness, self‐esteem and psychological distress correlate with problematic internet use? A Bangladeshi survey study

Mamun

Hossain

Moonajilin

et al. 2020

Asia-Pacific Psychiatry

View full text Add to dashboard Cite

show abstract

“…In addition, we took into consideration the social and emotional component of IA to explain the changed brain functions. IA may affect an individual's self‐control and understanding of their own and others' emotions, so internet addicts usually have negative emotions, such as impulsivity, low self‐esteem, depression, anxiety, loneliness, and even suicidal ideation (Sami, Danielle, Lihi, & Elena, ; Yücens & Üzer, ). These negative psychosocial factors may also affect the IA process.…”

Section: Discussionmentioning

confidence: 99%

Random topology organization and decreased visual processing of internet addiction: Evidence from a minimum spanning tree analysis

Wang

Sun

et al. 2019

Brain and Behavior

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Objectives Internet addiction (IA) has been associated with widespread brain alterations. Functional connectivity (FC) and network analysis results related to IA are inconsistent between studies, and how network hubs change is not known. The aim of this study was to evaluate functional and topological networks using an unbiased minimum spanning tree (MST) analysis on electroencephalography (EEG) data in IA and healthy control (HC) college students. Methods In this study, Young's internet addiction test was used as an IA severity measure. EEG recordings were obtained in IA ( n = 30) and HC participants ( n = 30), matched for age and sex, during rest. The phase lag index (PLI) and MST were applied to analyze FC and network topology. We expected to obtain evidence of underlying alterations in functional and topological networks related to IA. Results IA participants showed higher delta FC between left‐side frontal and parieto‐occipital areas compared to the HC group ( p < 0.001), global MST measures revealed a more star‐like network in IA participants in the upper alpha and beta bands, and the occipital brain region was relatively less important in the IA relative to the HC group in the lower band. The correlation results were consistent with the MST results: higher IA severity correlated with higher Max degree and kappa, and lower eccentricity and diameter. Conclusions Functional networks of the IA group were characterized by increased FC, a more random organization, and a decrease of relative functional importance of the visual processing area. Taken together, these alterations can help us understand the influence of IA to brain mechanism.

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“…Others studies such as Christensen et al [59], Bago and Lompo [60], Chen and Stoecker [61], all found media exposure can increase the public risk perception related health information. Third, a great number of studies have found that Internet use is associated with negative outcomes (e.g., depression) of individuals' mental health, such as Seki et al [62], Yücens and Üzer [63]. Therefore, this study can provide additional evidence for how Internet use affects individuals' mental health.…”

Section: Discussionmentioning

confidence: 75%

Does Internet Use Affect Individuals’ Medical Service Satisfaction? Evidence from China

Gong

Zhang

2020

Healthcare

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Empirical evidence that combines traditional factors and information technology factors to predict public attitudes toward to medical services is inadequate. To fill this gap, this study investigates the impact of Internet use on people’s satisfaction with medical services by employing the Chinese Social Survey for 2013, 2015 and 2017 (including 28,239 samples in total). Estimation results under the ordered probit reveal that Internet use is negatively correlated with individuals’ medical services satisfaction. The results support the negativity bias theory, namely, compared with positive information, netizens pay more attention to negative medical-related information on the Internet. The results are still reliable by adopting substitution variable methods, subdividing the samples, employing other estimation methods and carrying out placebo tests to conduct robustness checks. This study further enriches the literature on public attitudes toward medical services and provides additional policy implications for medical risk management in the digital era.

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The relationship between internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students

Cited by 106 publications

References 44 publications

Does loneliness, self‐esteem and psychological distress correlate with problematic internet use? A Bangladeshi survey study

Does loneliness, self‐esteem and psychological distress correlate with problematic internet use? A Bangladeshi survey study

Random topology organization and decreased visual processing of internet addiction: Evidence from a minimum spanning tree analysis

Does Internet Use Affect Individuals’ Medical Service Satisfaction? Evidence from China

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