scholarly journals Discrepancies between Self-Reports and Behavior: Fear of Missing Out (FoMO), Self-Reported Problematic Smartphone Use Severity, and Objectively Measured Smartphone Use

2021 ◽  
Vol 2 (2) ◽  
pp. 3-10
Author(s):  
Dmitri Rozgonjuk ◽  
Jon D. Elhai ◽  
Onur Sapci ◽  
Christian Montag
Keyword(s):  
Repeated Measures ◽  
Strong Predictor ◽  
Published Data ◽  
Data Sets ◽  
Problematic Smartphone Use ◽  
Fear Of Missing Out ◽  
Scale Scores ◽  
Smartphone Use ◽  
Objectively Measured ◽  
And Behavior

Fear of Missing Out (FoMO) is associated with self-reported problematic smartphone use (PSU) severity, but there is little investigation that includes objectively measured smartphone use. The aim of the current study was to provide insights into this domain. We combined the partially published data from two previous U.S.-based studies with college student samples that tracked smartphone use data with a different focus from the current study. Both data sets included socio-demographic measures, FoMO and PSU scale scores, and data for objectively measured screentime and frequency of screen unlocks over a week, amounting up to more than a thousand observations. FoMO had a strong correlation with self-reported PSU severity; however, FoMO was not associated with objectively measured smartphone use variables. FoMO did not predict behavioral smarthpone use over a week in multilevel modeling for repeated measures. Even though FoMO is a strong predictor of self-reported PSU severity, it does not predict objectively measured smartphone use.

scholarly journals Problematic Smartphone Use in a Large Nationally Representative Sample: Age, Reporting Biases, and Technology Concerns

2021 ◽  
Author(s):  
Sharon Horwood ◽  
Jeromy Anglim ◽  
Sumudu R. Mallawaarachchi
Keyword(s):  
Screen Time ◽  
Representative Sample ◽  
Female Age ◽  
Problematic Smartphone Use ◽  
Age Related ◽  
Generational Changes ◽  
Smartphone Use ◽  
Nationally Representative ◽  
Objectively Measured ◽  
Sample Age

This study utilized data from a nationally representative sample of Australian adults (n =1164; 50.7% female; age M = 44.9 years, SD = 16.3) to examine the relationships between age, technology concerns, self-rated and objective amount of smartphone use, and problematic smartphone use. Participants completed measures of problematic smartphone use and technology concern, while amount of smartphone use was self-rated and objectively measured using smartphone screen time reporting tools (Screen Time for iOS and Digital Wellbeing for Android). Amount of self-rated and objective smartphone use declined linearly with age. In contrast, problematic smartphone use was relatively high and stable in young adults before rapidly declining around age 40. People were reasonably good at estimating their amount of smartphone use (r = .73), although they did tend to underestimate usage. Technology concern was high across all ages, but unrelated to amount of usage and problematic smartphone usage. Age related differences are interpreted in terms of a combination of developmental and generational changes. Results also suggest that amount of use is an important but not complete cause of problematic smartphone use.

scholarly journals Dark Triad of Personality and Problematic Smartphone Use: A Preliminary Study on the Mediating Role of Fear of Missing Out

2021 ◽  
Vol 18 (16) ◽  
pp. 8463
Author(s):  
Rocco Servidio ◽  
Mark D. Griffiths ◽  
Zsolt Demetrovics
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Dark Triad ◽  
Big Five Personality ◽  
Problematic Smartphone Use ◽  
Fear Of Missing Out ◽  
Mediating Role ◽  
Survey Results ◽  
Smartphone Use

The present study examined whether the relationship between the Dark Triad (DT) of personality and problematic smartphone use (PSU) can be explained by the mediating role of fear of missing out (FoMO). The role of FoMO in this relationship has yet to be examined. A total of 457 participants completed an online survey. Results indicated that males scored high on measures assessing DT of personality, while females scored high on PSU. Structural equation modelling showed that narcissism was directly associated with PSU. FoMO partially mediated the association between narcissism and PSU. Machiavellianism and narcissism were directly associated with FoMO. In the fully mediated model, narcissism (but not Machiavellianism) was still associated with FoMO, and in turn, FoMO was related to PSU. Although preliminary, the results of the present study indicated that Machiavellianism and narcissism might represent antecedents of FoMO, in addition to the Big Five personality traits, and both could be involved in the development of PSU.

Depression, anxiety and fear of missing out as correlates of social, non-social and problematic smartphone use

2020 ◽  
Vol 105 ◽  
pp. 106335 ◽  
Author(s):  
Jon D. Elhai ◽  
Elizabeth F. Gallinari ◽  
Dmitri Rozgonjuk ◽  
Haibo Yang
Keyword(s):  
Problematic Smartphone Use ◽  
Fear Of Missing Out ◽  
Smartphone Use ◽  
Anxiety And Fear

Instagram use frequency is associated with problematic smartphone use, but not with depression and anxiety symptom severity

2020 ◽  
Vol 8 (3) ◽  
pp. 400-418 ◽  
Author(s):  
Dmitri Rozgonjuk ◽  
Patrik Pruunsild ◽  
Kadi Jürimäe ◽  
Rosiine-Johanna Schwarz ◽  
Jaan Aru
Keyword(s):  
Indirect Effects ◽  
Online Survey ◽  
Anxiety Symptom ◽  
Demographic Variables ◽  
Bivariate Analysis ◽  
Depression And Anxiety ◽  
Problematic Smartphone Use ◽  
Younger Age ◽  
Smartphone Use ◽  
Objectively Measured

Studies have demonstrated that social media use, as well as problematic smartphone use (PSU), are associated with psychopathology variables, such as depression and anxiety. However, it has not been studied how Instagram use frequency is associated with depression, anxiety, and PSU. The aim of this study was to investigate whether Instagram use frequency is related to these psychopathology variables. Three hundred and five active Instagram users ( Mage = 23.61, SDage = 5.33; 82.2% female) comprised the effective sample in this study. They responded to an online survey that included questionnaires regarding their Instagram and smartphone use, as well as about experiencing depression and anxiety symptoms. We also retrieved objectively measured Instagram use data. The results showed that although Instagram use frequency, depression, and anxiety were associated with PSU in bivariate analysis, Instagram use frequency did not have indirect effects in the relations between psychopathology variables and PSU. Furthermore, while younger age and female sex predicted Instagram use frequency, these socio-demographic variables did not predict PSU. According to our findings Instagram use frequency contributes to PSU, but it is not related to depression and anxiety.

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