What type of content are smartphone users addicted to?: SNS vs. games

Jeong, Se‐Hoon; Kim, Hyoung-Jee; Yum, Jung-Yoon; Hwang, Yong Woo

doi:10.1016/j.chb.2015.07.035

Cited by 375 publications

(337 citation statements)

References 77 publications

Supporting

Mentioning

256

Contrasting

Unclassified

Order By: Relevance

“…Past research has found that problem smartphone use in general is predicted by younger age (Lu et al, 2011;van Deursen et al, 2015) and female gender (Jeong, Kim, Yum, & Hwang, 2016;Wang et al, 2015). In contrast to van Deursen et al (2015) who found that younger people engage in more process and social smartphone usage, we did not find such an effect for age; though we should note that age would be significant for process use at the alpha < .05 level, but not at our more stringent alpha < .01 level.…”

Section: Discussioncontrasting

confidence: 54%

Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use

Elhai¹,

Hall²,

Levine³

et al. 2017

View full text Add to dashboard Cite

Section: Discussioncontrasting

confidence: 54%

Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use

Elhai¹,

Hall²,

Levine³

et al. 2017

View full text Add to dashboard Cite

“…In a study realized by Jeong et al, functions such as social media, music listening and video watching were asserted to be determinants for smartphone addiction contrarily to studying. 30 People using smartphones with social purposes were suggested to develop smartphone habits more rapidly and it is proposed that this could be reason for addictive smartphone behaviours. 24 Besides social relationships, perceived social support and psychological wellbeing were indicated as motivating in smartphone using.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of smartphone addiction and related factors among university students

et al. 2018

View full text Add to dashboard Cite

Background: The purpose of this study is to investigate the level of smartphone addiction of university students and determine the related factors.Methods: This cross-sectional study was conducted among first and third-class students of the 2016 fall semester in Eskişehir Osmangazi University with 1492 students. In this study, risk of smartphone addiction was evaluated by using Short Version of Smartphone Addiction Scale (SAS-SV). In data analysis, Mann Whitney U, Kruskal Wallis and hierarchical multi linear regression analysis were executed.Results: 772 (51.7 %) of 1492 students in the study group was female. SAS-SV median score of the students was 26. In this study; gender, socio-economic level, perceived health status and mostly used smartphone function were specified as factors influencing smartphone addiction. While, using smartphone for functions such as social media, gaming, online messaging and video watching was assigned to be positively related with smartphone addiction; using smartphone for telephone calls, e-mail and news reading was assigned to be negatively related. 71.2% of students (n:1063) declared to have health problems related with using smartphones. Insomnia was revealed as the most common (23.6 %) health complaint related to smartphone use.Conclusions: Social contact and applications with entertaining contents in smartphone enhance addiction. There is need for more studies and researches for exerting smartphone addiction, related factors and applying necessary protective and therapeutic interventions.

show abstract

“…Cheever, Rosen, Carrier, and Chavez (2014) conducted a study with university students, stating that the increase in daily duration of smartphone use caused anxiety levels to rise when students were separated from their smartphones. Additionally, some studies showed the use of SNS as a positive predictor of mobile phone addiction (Jeong, Kim, Yum, & Hwang, 2016;Salehan & Negahban, 2013). As smartphones are considered as convenient platforms for users to access SNSs constantly due to their portability and continuous connectivity (Jeong et al, 2016); it can be said that easy access to social network accounts can trigger excessive, uncontrollable SNS use, and can therefore contribute to smartphone dependency among young people.…”

Section: Smartphone Addiction Fomo and Sns Usementioning

confidence: 99%

Understanding Patterns for Smartphone Addiction: Age, Sleep Duration, Social Network Use and Fear of Missing Out

Gezgin¹

2018

CJES

View full text Add to dashboard Cite

The aim of this study is to examine high school students and uncover the relationships between Smartphone Addiction levels and certain factors such as (a) Fear of Missing Out (FoMO) (b) Social Networking Site (SNS) usage habits (using smartphones), (c) age, d) sleep duration and (e) duration of smartphone ownership. The study group consists of 161 students from two public high schools in Turkey. Two different scales were employed for data collection; namely, the Smartphone Addiction Scale and FoMO Scale. Based on a cross-sectional research method, this qualitative study makes use of Pearson Correlation and Stepwise Multiple Regression statistical tests. Findings have shown positive correlations interpreted as Smartphone Addiction increasing with greater student age, daily duration of SNS use on smartphones, duration of smartphone ownership, and Fear of Missing Out. In addition, there exists negative-correlation between smartphone addiction and sleep duration, as well as frequency of SNS use on smartphones. Last but not least, it has been shown that FoMO, daily duration of SNSs use on smartphone and duration of smartphone ownership predict smartphone addiction, with the FoMO variable being the strongest predictor.

show abstract

What type of content are smartphone users addicted to?: SNS vs. games

Cited by 375 publications

References 77 publications

Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use

Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use

Evaluation of smartphone addiction and related factors among university students

Understanding Patterns for Smartphone Addiction: Age, Sleep Duration, Social Network Use and Fear of Missing Out

Contact Info

Product

Resources

About