Internet Addiction and Depression in Iran: Investigating the Mediating Roles of Loneliness and Disordered Sleep and Moderating Role of Gender

Masaeli, Nassim; Farhadi, Hadi

doi:10.1007/s10447-021-09447-9

Cited by 4 publications

(3 citation statements)

References 60 publications

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“…The main theme of Internet-Addiction (0.86, 0.93) was found to be related to Students, Teachers, Cyberbullying-Victimization, Disordered-Sleep, Family-Factors, Impulsivity, K-12-Education, and Self-Efficacy themes. To illustrate these sub-themes in the Internet-Addiction cluster network, these studies on Students ( Pereira et al, 2020 ), Teachers ( Karakose et al, 2022c ), Cyberbullying-Victimization ( Wang et al, 2020 ), Disordered-Sleep ( Masaeli and Farhadi, 2021 ), Impulsivity ( Marzilli et al, 2020 ), K-12-Education ( Karakose et al, 2022a ), and Self-Efficacy ( Chen et al, 2020 ) can be listed.…”

Section: Resultsmentioning

confidence: 99%

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

et al. 2023

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IntroductionUsing digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.MethodsThe study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.ResultsThe analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.DiscussionThe results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.

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Section: Resultsmentioning

confidence: 99%

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

et al. 2023

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“…Besides that, students would experience sleep disturbances or low quality sleep due to internet use and depression (Chen et al, 2022;Gupta et al, 2021). According to Masaeli and Farhadi (2021), a student experiencing depression due to loneliness can suffer from irregular sleep. It is without a doubt that this disruption can affect one's mood and emotions throughout the day and give rise to mental health problems.…”

Section: Discussionmentioning

confidence: 99%

Internet Addiction and Fear of Missing Out as Predictors of Depression Among Rural Secondary School Students: A Pilot Study

Abdul Wahab,

Kee,

Aslina

2024

IJARPED

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Depression is a major mental health problem that is becoming a great concern among adolescents. An adolescent who experiences depression is associated with having internet addiction and Fear of Missing Out (FoMO). The study aims to i) identify the correlation between internet addiction and FoMO and depression, as well as ii) to determine the predictive effects of internet addiction and FoMO on the depression of rural secondary school students. This quantitative approach study utilises the online questionnaire method (via Google Form) which was participated by 145 Form 4 students. A descriptive analysis of the Pearson Correlation and regression was conducted using the 25.0 version of Statistical Package for Social Sciences (SPSS) software. The results indicated that internet addiction and FoMO have significant positive correlation with depression. Internet addiction and FoMO have positive predictive effects on depression of rural secondary school students. The implication of this study holds crucial importance in understanding the correlation between internet addiction and FoMO with depression, as well as the necessity for intervention that can be designed in order to assist the treatment of students who face the problems of internet addiction, FoMO and depression. The recommendation for future researchers is to further explore and expand the research via a mixed-method in order to gain more transparent and accurate results based on respondents' experiences.

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“…Compared with boys, girls' smartphone addiction scores decreased more when there was an improvement in well-being. However, some studies did not show a significant interaction effect of gender and depressive symptoms on IA (Masaeli and Farhadi, 2021;Son et al, 2021;Liu and Lu, 2022). Hence, there is a need to further explore the interaction effect of gender and psychological morbidity (such as depression, hopelessness, and suicidal behavior) on IA.…”

Section: Interaction Effects Of Socio-demographic Factors and Psychol...mentioning

confidence: 99%

Socio-demographic and mental health correlates of internet addiction amongst Hong Kong university students under COVID-19

Shek,

Chai,

Dou

et al. 2023

Front. Psychol.

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IntroductionRegarding the problem of Internet addiction (IA) amongst university students under the pandemic, there are several research gaps. Firstly, few studies have examined IA of university students in Hong Kong, which is a Chinese society heavily influenced by Western values. In addition, findings on the socio-demographic correlates and psychological well-being predictors of IA in university students are unclear. Finally, researchers have not systematically examined the interaction effects of socio-demographic factors (particularly gender and personal infection of COVID-19) and psychological morbidity on IA. This pioneer study aimed to investigate the predictive role of socio-demographic factors and psychological morbidity in IA, and the moderating effects of gender and personal infection of COVID-19 on the relationship between psychological morbidity and IA.MethodsWe conducted an online survey (N = 1,020 university students) during the ending phase of Wave 5 of the pandemic in Hong Kong (late 2022 to early 2023). Socio-demographic correlates included age, gender, living status, personal and family financial situation, student status, personal and family infection of COVID-19. Participants responded to validated measures of psychological morbidity, including depression, suicidal behavior, and hopelessness. Hierarchical regression and simple slope analyses were used to examine the predictive role of socio-demographic variables and psychological morbidity in IA and the interactive effect of gender and personal infection of COVID-19 with psychological morbidity on IA.ResultsPersonal financial difficulty was a significant socio-demographic predictor of IA. Depression, suicidal behavior, and hopelessness positively predicted IA. We also found a significant interaction effect of gender and psychological morbidity on IA. While the predictive relationship between depression and IA was stronger in males than in females, hopelessness was more strongly related to IA in females than in males. Finally, there was a significant interaction effect of personal infection of COVID-19 and suicidal behavior on IA.ConclusionPersonal financial difficulty was a socio-economic correlate of IA. Psychological morbidity also predicted IA. Gender and personal infection of COVID-19 moderated the linkage between psychological morbidity and IA. The findings of the study enhance our understanding of individual differences in IA in university students during the pandemic, particularly concerning different ecological risk factors.

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Internet Addiction and Depression in Iran: Investigating the Mediating Roles of Loneliness and Disordered Sleep and Moderating Role of Gender

Cited by 4 publications

References 60 publications

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

Internet Addiction and Fear of Missing Out as Predictors of Depression Among Rural Secondary School Students: A Pilot Study

Socio-demographic and mental health correlates of internet addiction amongst Hong Kong university students under COVID-19

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