Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation

Wolniewicz, Claire A.; Tiamiyu, Mojisola F.; Weeks, Justin W.; Elhai, Jon D.

doi:10.1016/j.psychres.2017.09.058

Cited by 396 publications

(321 citation statements)

References 48 publications

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“…In the third attempt at improving the regression model, DoSO variables were added after FoMO and DoSUS, increasing the ratio of variance explained in smartphone addiction scores by 2%, from 52% to 54%. These findings are supported by a previous study by Wolniewicz et al (2017) demonstrating that FoMO is most strongly related to both problematic smartphone use and social smartphone use.…”

Section: Which Variables Predict Smartphone Addiction?supporting

confidence: 88%

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

Gezgin¹

2018

CJES

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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.

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Section: Which Variables Predict Smartphone Addiction?supporting

confidence: 88%

“…Their study showed FoMO as one of the predictors of problematic SNS use. Finally, FoMO was also found to be significant in association with social smartphone usage by Wolniewicz, Tiamiyu, Weeks, and Elhai (2017).…”

Section: Is There a Relationship Between Smartphone Addiction And Stumentioning

confidence: 87%

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

Gezgin¹

2018

CJES

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“…Third, the variable that measured the time spent online was built by asking participants about the time spent daily on the Internet. They could have had inaccurate time-perceptions of the time spent using social media technologies (Wolniewicz, Tiamiyu, Weeks, & Elhai, 2018). Fourth, we found no severe Internet addicts among the participants, but only those with mild and moderate risks.…”

Section: Limitations and Future Researchmentioning

confidence: 59%

A Discriminant Analysis to Predict the Impact of Personality Traits, Self-esteem, and Time Spent Online on Different Levels of Internet Addiction Risk among University Students

Servidio¹

2019

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The aim of the current study is to evaluate the predictive influence of Big Five personality tra its, self-esteem, and time spent online in discriminating among a sa mple of university students classified as normal, mildly, and moderately addicted Internet users. Self-report measures were administered to 207 Italian university students aged 19 to 41 years. Results indicated no severe Internet addiction among the participants, but only a mild and moderate risk. Correlation analysis revealed a significant negative association between Internet addiction score and self-esteem. The discriminant analysis indicated two main functions that allow discrimination in terms of the influence of persona lity traits, self-esteem, and time spent online in three groups of participants. These results may have valid implications in assessing students engaged in intensive online activities, indicating that tailored approaches to their problems are particularly important in preventing the risk of Internet addiction disorder.

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“…Existing studies dealing with FoMO have been published in various academic fields, including psychology, management information system (MIS), and medicine [13][14][15][25][26][27]. Specifically, studies on the FoMO phenomenon in the field of psychology mainly describe FoMO as a kind of severe symptom like obsession toward the mainstream [13,17].…”

Section: Previous Studies Of Fomomentioning

confidence: 99%

“…Specifically, studies on the FoMO phenomenon in the field of psychology mainly describe FoMO as a kind of severe symptom like obsession toward the mainstream [13,17]. In the MIS field, FoMO is related to an emotional change, which leads to excessive use of social media and smartphones [15,25,26]. In addition, FoMO has been held as an addictive psychological symptom in medical fields such as psychopathology and psychiatry [27].…”

Section: Previous Studies Of Fomomentioning

confidence: 99%

Conformity Consumption Behavior and FoMO

2019

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Culturally associated brands that reflect the cultural backgrounds of other countries have been extensively studied, but research on the conformity consumption of culturally associated brands in specific countries has rarely been conducted. This study focuses on the fear of missing out (FoMO) phenomenon as a tool for explaining consumers' conformity consumption and examines what causes it. Although the FoMO concept is primarily used in the online field, it is considered to be a very suitable tool for explaining offline consumption behavior as well. This study will be useful for establishing long-term and sustainable strategies by firms through matured discussions on conformity consumption.

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Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation

Cited by 396 publications

References 48 publications

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

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

A Discriminant Analysis to Predict the Impact of Personality Traits, Self-esteem, and Time Spent Online on Different Levels of Internet Addiction Risk among University Students

Conformity Consumption Behavior and FoMO

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