Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem

Wang, Pengcheng; Wang, Xinyue; Wu, Yingqiu; Xie, Xiaochun; Zhao, Fengqing; Ouyang, Mingkun

doi:10.1016/j.paid.2018.02.008

Cited by 152 publications

(106 citation statements)

References 46 publications

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“…Only a few other scholars investigated social media addiction/ social media use and its relationships with depression or other mental health problems; almost all these studies found that social media addiction associated with depression/other mental health problems ( Note. R2 adjusted = 0.179 CI = confidence interval for B Seabrook et al, 2016;Shensa et al, 2018;Wang et al, 2018;Waqas et al, 2018). The young generation (high school students) was the target population in many of these studies; they mostly utilized Goldberg, DASS (Depression Anxiety Stress Scale), CES-D and the 6-item Bergen Social Media Addiction Scale (BSMAS) for measuring depression and social media addiction, while we used IATs and CES-Ds in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Many prior studies have explored the relationship of social media usage with the users' mental health problems (e.g. depression, anxiety, stress, loneliness, and self-esteem) among the various age group of people in developed countries (Glazzard & Stones, 2016;Hou et al, 2019;Savci, 2016;Shensa et al, 2018;Wang et al, 2018;Waqas et al, 2018). In the least developed countries such as Afghanistan, there is not enough relevant academic literature.…”

Section: Introductionmentioning

confidence: 99%

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The relationship between social media addiction and depression: a quantitative study among university students in Khost, Afghanistan

Haand

Shu-wang

2020

International Journal of Adolescence and Youth

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This study examined the relationship between social media addiction and depression among students of the universities in Khost province of Afghanistan. Stratified random sampling was used and a 46-items selfadministered questionnaire was distributed to 384 students of three universities Shaikh Zayed, Ahmad Shah Abdali, and Pamir University. Kimberly Young's Internet Addiction Test (IAT) was applied and replicated for measuring social media addiction; depression was measured by the Centre for Epidemiologic Studies Depression Scale (CES-D). The Pearson correlation coefficient, simple linear regression and factor analysis were employed to determine the relationship between social media addiction and depression. The findings indicated that social media addiction has a positive correlation with depression and depression significantly predicts social media addiction.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The relationship between social media addiction and depression: a quantitative study among university students in Khost, Afghanistan

Haand

Shu-wang

2020

International Journal of Adolescence and Youth

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“…According to the latter approach, SNS addiction is viewed as a generic phenomenon (e.g. Tang and Koh 2017;Wang et al 2018). In line with such understanding, impairment associated with Facebook addiction (related for example to higher stress and lower well-being) should also be present in SNS addiction generally.…”

Section: Conceptual and Methodological Perspectives On Sns Addictionmentioning

confidence: 99%

Is it meaningful to distinguish between Facebook addiction and social networking sites addiction? Psychometric analysis of Facebook addiction and social networking sites addiction scales

et al. 2020

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Studies conducted on Social Networking Sites (SNSs) addiction have to a large extent focused on Facebook as a prototypical example of SNS. Nonetheless, the evolution of SNSs has spawn conceptual and methodological controversies in terms of the operationalization of SNS addiction. In order to bring more clarity to this field the present study aimed to investigate the construct validity of the Bergen Social Media Addiction Scale (BSMAS) in comparison to the Bergen Facebook Addiction Scale (BFAS) among 1099 young subjects (146 Facebook-only users and 953 who had an account on Facebook and at least one additional SNS). Furthermore, the study aimed to investigate the unique contribution of SNS addiction to stress and general well-being above and beyond personality characteristic and Facebook addiction specifically. Participants completed a survey assessing SNS addiction, Facebook addiction, demography, Big Five personality traits, perceived stress, and general subjective well-being. BSMAS had acceptable fit with the data and demonstrated good reliability. Results showed that the scores of BSMAS were strongly associated with those of BFAS and that the relationship between the two measures was stronger in the group of Facebook-only users than in the group of multisite-social networkers. Moreover, SNS addiction was positively associated with perceived stress and negatively associated with subjective well-being after controlling for Facebook addiction and other study variables. Theoretical and methodological implications of the findings are discussed.

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“…Various measures were used to assess SNUD with the authors of studies adapting measures into Chinese/Mandarin and to assess Chinese SNSs (i.e., western SNS name, such as Facebook R , was exchanged for a Chinese SNS name such as WeChat R ). Hou et al (2019) and Wang et al (2018) utilized adapted versions of the Facebook Intrusion Questionnaire (Elphinston and Noller, 2011;Li et al, 2018a,b) used the Online Social Networking Addiction Scale (Li et al, 2016), Liu and Ma (2018a) used the Social Media Addiction Scale (Liu and Ma, 2018b), Chen et al (2019) used the Social Networking Websites Addiction Scale (SNWAS; Turel and Serenko, 2012) and the Social Networking Sites Addiction Tendency Scale (SNSATS; Wilson et al, 2010). (Yam et al, 2019) used the Bergen Social Media Addiction Scale (Andreassen et al, 2012), Li et al (2017) used an adapted version of the Facebook Addiction Scale (Koc and Gulyagci, 2013), and Hong et al (2014) used the Internet Addiction Test (Young, 1996).…”

Section: Methods Of Assessing Social Network Use Disordermentioning

confidence: 99%

Social Networks Use Disorder and Associations With Depression and Anxiety Symptoms: A Systematic Review of Recent Research in China

et al. 2020

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Background: An increasing number of studies have investigated Social Networks Use Disorder (SNUD) among Western samples. In this context, the investigation of SNUD in Asia and especially in China has been much neglected. This poses a gap in the literature; it has been estimated that more than one billion Chinese people are using Chinese social networking sites (SNSs). Of note, many of these Chinese SNSs are rather unknown to researchers in Western countries. Aims: The primary objective of the present systematic review was to identify and evaluate studies that investigated Chinese SNS use and associations between SNUD and depression and anxiety symptoms.

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Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem

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Cited by 152 publications

References 46 publications

The relationship between social media addiction and depression: a quantitative study among university students in Khost, Afghanistan

The relationship between social media addiction and depression: a quantitative study among university students in Khost, Afghanistan

Is it meaningful to distinguish between Facebook addiction and social networking sites addiction? Psychometric analysis of Facebook addiction and social networking sites addiction scales

Social Networks Use Disorder and Associations With Depression and Anxiety Symptoms: A Systematic Review of Recent Research in China

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