The Pervasiveness, Connectedness, and Intrusiveness of Social Network Site Use Among Young Adolescents

Espinoza, Guadalupe; Juvonen, Jaana

doi:10.1089/cyber.2010.0492

Cited by 89 publications

(75 citation statements)

References 16 publications

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“…Regarding the possible association between social media and poor sleep quality, Espinoza (2011) found that 37% lost sleep due to using social networking applications. Woods and Scott16 stated that, using social media involves continued alerts at all times of the day.…”

Section: Figure (1) Medical Students' Quality Of Sleep Discussionmentioning

confidence: 99%

Impact of Twitter and WhatsApp on Sleep Quality among Medical Students in King Khalid University, Saudi Arabia

Asiri¹,

Almetrek²,

Alsamghan³

et al. 2018

Sleep Hypn

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Background: Twitter and WhatsApp may have the potential to negatively affect quality of sleep. Aim of Study: To assess the impact of using social media (i.e., Twitter and WhatsApp) on sleep quality and to identify risk factors associated with poor sleep quality among medical students in King Khalid University (KKU). Methodology: Following a cross -sectional design, 286 medical students at King Khalid College of Medicine, Abha, Saudi Arabia, were recruited into this study. An anonymous self-administered questionnaire has been designed by the researchers which included sociodemographic data, extent of using the WhatsApp and/or Twitter and the Pittsburgh sleep Quality Index. Results: 76.2% of students use both Twitter and WhatsApp, 21.5% use WhatsApp only, 1% use Twitter only, while 1% do not use any. Most medical students (89.8%) use Twitter/WhatsApp every day. Most medical students use Twitter/WhatsApp for 3-4 or more than 5 hours daily (31.1% for both). Most medical students (88.7%) use Twitter/WhatsApp during night. 29.7% of medical students have poor quality of sleep. Twitter/WhatsApp use was significantly more among female than male medical students (81.7% and 73.1%, respectively, p=0.014). Use of Twitter/WhatsApp by medical students differed significantly according to their scholastic year (p=0.014), with highest use among 6 th year medical students (94.1%). Medical students' quality of sleep differed significantly according to their scholastic year (p=0.02), with highest prevalence of poor quality among those at their 2 nd and 6 th scholastic years (37.7%) and 37.3%, respectively). Quality of sleep differed significantly according to students' daily use of Twitter/WhatsApp (p=0.022), with highest prevalence of poor sleep quality among those who spend more than 4 hours daily using Twitter/WhatsApp. Conclusions: The majority of medical students in KKU, especially females and final year students, use Twitter and/or WhatsApp. Almost one third of students have poor sleep quality, especially 2 nd and final year medical students and those who use social media for more than two hours daily. This study indicates a strong need for integrating sleep hygiene education for medical students and to provide health education to promote correct and effective use of social networks.

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Section: Figure (1) Medical Students' Quality Of Sleep Discussionmentioning

confidence: 99%

Impact of Twitter and WhatsApp on Sleep Quality among Medical Students in King Khalid University, Saudi Arabia

Asiri¹,

Almetrek²,

Alsamghan³

et al. 2018

Sleep Hypn

View full text Add to dashboard Cite

show abstract

“…Research have shown that internet addiction, social media addiction, smartphone addiction and digital game addiction are associated with "depression" (24)(25)(26)(27), "impulsivity" (7,(28)(29)(30), "loneliness" (31)(32)(33)(34), "sleep quality" (25,27,35,36), "well-being" (25,(37)(38)(39), "self-esteem" (33,34,40,41) and "academic performance" (24,(42)(43)(44). On the other hand, according to some researchers, the use of technology strengthens friendship, facilitates interpersonal conversations and communication, and allows establishing new social relations (45)(46)(47).…”

Section: Introductionmentioning

confidence: 99%

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

Savcı¹,

Aysan²

2017

Dusunen Adam

164

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Technological addictions and social connectedness: predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectednessObjective: This study examined the predictor effects of four technological addictions, including Internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. Method: The study was conducted on 201 adolescents (101 girls, 100 boys) who have been using Internet, playing digital games, and using social media for at least one year, and have at least one social media account and a smartphone. The Young's Internet Addiction Test-Short Form, Social Media Disorder Scale, Digital Game Addiction Scale, Smartphone Addiction Scale-Short Version, Social Connectedness Scale, and Personal Information Form were used as data collection tools. Parametric statistical methods were used to analyze the data, taking into consideration the single and multivariable normality, linearity, and multicolinearity. Results: The analysis showed that Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly predicted 25% of social connectedness. In addition, it has been determined that the strongest effect on social connectedness is from Internet addiction followed by social media addiction, digital game addiction, and smartphone addiction respectively. Conclusion: Four technological addictions including Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly affect social connectedness. Keywords: Digital game addiction, internet addiction, smartphone addiction, social connectedness, social media addiction ÖZET Teknolojik bağımlılıklar ve sosyal bağlılık: İnternet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığı yordayıcı etkisi Amaç: Bu araştırmada internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığı olmak üzere, dört teknolojik bağımlılığın sosyal bağlılığı yordayıcı etkisi incelenmiştir. Yöntem: Araştırma son bir yıldır internet kullanan, dijital oyun oynayan ve sosyal medya kullanan ve en az bir sosyal medya hesabı ve akıllı telefonu olan 201 (101'i kız, 100'ü erkek) ergen üzerinde gerçekleştirilmiştir. Araştırma verileri Young İnternet Bağımlılığı Testi Kısa Formu, Akıllı Telefon Bağımlılığı Ölçeği Kısa Formu, Dijital Oyun Bağımlılığı Ölçeği, Sosyal Medya Bozukluğu Ölçeği, Sosyal Bağlılık Ölçeği ve Kişisel Bilgi Formu ile toplanmıştır. Araştırma verileri tek ve çok değişkenli normallik, doğrusallık ve çoklu bağlantı problemi dikkate alınarak, parametrik istatistiki yöntemlerle çözümlenmiştir. Bulgular: Analiz sonucunda internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığın %25'ini anlamlı düzeyde yordadığı görülmüştür. Ayrıca sosyal bağlılığın açıklanmasında en güçlü etkinin internet bağımlılığından geldiği ve bunu sır...

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“…And also it cause some other problems like; low selfesteem, high levels of timidness and loneliness (Julia et al 2014), heart rate increase (Griffiths and Dancaster, 1995), well-being (Demirci et al 2015), sleep quality (Espinoza & Juvonen 2011), aggressiveness and impulsivity (Wo, 2003), academic performance (Brunborg et al 2014;Skoric et al 2009), social life and emotional functioning (Turel et al 2011) psychological issues; depression, compulsion, suicidal tendencies, attention shortfall as well as hyperactivity (Julia et al 2014) and low self-admission (Montag et al 2011) positively associated with problematic gaming propensities. According to Wood et al (2007), the common outcome is time lost, and spending too much time on one activity can compose its problems.…”

Section: Introductionmentioning

confidence: 99%

An investigation of the digital game addiction between high school students

et al. 2017

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The aim of this study was to investigate the digital game addiction levels of the high school students, according to some variables such as sports participation, gender, place of accommodation and level of income. The sample group comprises 931 high school students (508, %54,6 female and 423, %45,4 male) from several villages, districts and Kutahya city center (a town in the west part of Turkey with the population of 325.000). They participated to the study voluntarily. In addition to personal information from prepared by the researcher, the game addiction scale developed by Lemmens et al. (2009) and adapted to Turkish by Irmak and Erdogan (2015) was used as a data gathering tool. It is a five point Likert type scale and has one factor and seven items. In order to evaluate the results the descriptive statistical methods (percentage (%), frequency (f) and t-test, one-way ANOVA) were used. As a result, the significant difference was determined regarding digital game addiction [t (931)=-3,76; p=0,00] between the students who participate to the sports activities and who do not. So, the non-participant students found more game addicted. According to the gender, male students were determined more addicted than females [t (931)=9,45; p=0,00]. No significant difference was determined in terms of the place where the students lived (p=0,56, p>0,05). Finally, the significant difference was determined in terms of the income levels, [f (931)=3,07; p=0,01] on behalf of the students who had good income level. They found more addicted.

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The Pervasiveness, Connectedness, and Intrusiveness of Social Network Site Use Among Young Adolescents

Cited by 89 publications

References 16 publications

Impact of Twitter and WhatsApp on Sleep Quality among Medical Students in King Khalid University, Saudi Arabia

Impact of Twitter and WhatsApp on Sleep Quality among Medical Students in King Khalid University, Saudi Arabia

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

An investigation of the digital game addiction between high school students

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