Predictive Relationships Among Smartphone Addiction, Fear of Missing Out and Interaction Anxiousness

Büyükbayraktar, Çağla Girgin

doi:10.19044/ejes.v7no2a1

Cited by 10 publications

(9 citation statements)

References 64 publications

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“…These results are also in line with findings from previous studies in which females appear to demonstrate higher multitasking and emotion regulation needs, and to manage their emotions more poorly than males and present with higher problematic smartphone use ( 146 , 152 , 263 – 266 ). Evidence regarding gender differences in multitasking is inconclusive due to conflicting findings, with some evidence suggesting that women are not better than men at multitasking, while other literature suggests that women present with better multitasking skills ( 151 , 267 ).…”

Section: Discussionsupporting

confidence: 92%

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

et al. 2021

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Background: Distraction is a functional emotion regulation strategy utilized to relieve emotional distress. Within the attention economy perspective, distraction is increasingly associated with digital technology use, performance impairments and interference with higher-order cognitive processes. Research on smartphone distraction and its association with problematic smartphone use is still scarce and there is no available psychometric assessment tool to assess this cognitive and emotive process parsimoniously.Method: The present study reports the development and evaluation of the psychometric properties of the Smartphone Distraction Scale (SDS) through exploratory and confirmatory factor analysis, construct validity, gender invariance, and latent mean differences. The study was conducted in a sample of British university students (N = 1,001; M = 21.10 years, SD = 2.77).Results: The 16-item SDS was best conceptualized in a four-factor model solution comprising attention impulsiveness, online vigilance, emotion regulation, and multitasking. Construct validity was established using relevant psychosocial and mental health measures, with SDS scores being moderately associated with deficient self-regulation and problematic social media use. Gender measurement invariance was achieved at the configural, metric, and scalar levels, and latent mean differences indicated that females had significantly higher means than males across all four SDS latent factors.Discussion: The SDS presents with several strengths, including its theoretical grounding, relatively short length, and sound psychometric properties. The SDS enables the assessment of distraction, which appears to be one of the pathways to problematic smartphone use facilitating overuse and overreliance on smartphones for emotion regulation processes. The assessment of distraction in relation to problematic use in vulnerable populations may facilitate interventions that could encourage metacognition and benefit these groups by allowing sustained productivity in an increasingly disrupted work and social environment.

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Section: Discussionsupporting

confidence: 92%

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

et al. 2021

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“…The one-study-removed technique revealed that none of the included studies influenced or skewed the final results. However, among 85 articles (86 effect-sizes) included in the analysis, 21 articles had a moderate risk of bias ( Alt & Boniel-Nissim, 2018a , 2018b ; Barber & Santuzzi, 2017 ; Barry & Wong, 2020 ; Burnell, George, Vollet, Ehrenreich, & Underwood, 2019 ; Buyukbayraktar, 2020 ; Classen, Wood, & Davies, 2020 ; Elhai et al, 2016 ; Fuster, Chamarro, & Oberst, 2017 ; Hishan, Ramakrishnan, & Qureshi, 2020 ; McAndrew, 2018 ; Metin-Orta, 2020 ; Munawaroh, Nurmalasari, & Sofyan, 2020 ; O’Connell, 2020 ; Rahardjo & Mulyani, 2020 ; Riordan et al, 2020 ; Rogers & Barber, 2019 ; Schneider & Hitzfeld, 2019 ; Sha, Sariyska, Riedl, Lachmann, & Montag, 2019 ; Sheldon, Antony, & Sykes, 2021 ; Tang, Hung, Au-Yeung, & Yuen, 2020 ; Tunc-Aksan & Akbay, 2019 ) and the rest had a high quality and low risk of bias judged by the authors.…”

Section: Resultsmentioning

confidence: 99%

Section: Sensitivity Analysis Quality and Risk Of Bias Assessmentmentioning

confidence: 99%

Fear of missing out (FoMO) and internet use: A comprehensive systematic review and meta-analysis

Akbari

Seydavi

Palmieri

et al. 2021

JBA

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Background and aims FoMO has been considered a predisposing factor toward excessive internet use, and a great deal of literature has investigated the link between FoMO and internet use. However, there is still a lack of cohesion in the literature. Methods The current study have been conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results In the current systematic review and meta-analysis of 86 effect-sizes, representative of 55,134 participants (Mean age = 22.07, SD = 6.15, females = 58.37%), we found that the strength of the trait FoMO- internet use association significantly varies from r = 0.11 to r = 0.63. In some populations, FoMO appears to increase with age and it is reverse in other populations. Facebook use was unrelated to FoMO in some populations, and higher FoMO was linked with stopping Instagram use for some individuals. The FoMO- internet use association was independent of their severity, as the interaction was not significant, and this association was neither linear nor curvilinear. The FoMO-internet use association does not appear to be associated with depressive, anxiety, and stress symptoms or level of life satisfaction. The COVID-19 pandemic was the only significant moderator of the FoMO-internet use association, strengthening this relationship. Discussion and Conclusions FoMO demonstrates a considerable role in internet use; however, there is no evidence of interaction or bi-directional association between the mentioned. Overall, we still don’t know what factors contribute to individuals exhibiting distinct patterns in the FoMO-internet use association.

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“…” A high score for adolescent students indicates a high level of subjective interaction anxiety. This scale has been used in previous studies and has demonstrated good reliability and validity ( Buyukbayraktar, 2020 ; Zhou et al, 2022 ). In this study, the Cronbach’s α for the IAS was 0.88.…”

Section: Methodsmentioning

confidence: 99%

How relative deprivation affects the sleep quality of Chinese college students: testing an integrated model of social anxiety and trait mindfulness

Xiong

Chen

2023

Front. Psychol.

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Although previous studies have confirmed the association between relative deprivation and individual health, the relationship between and underlying mechanisms of relative deprivation and sleep quality have rarely been explored. Therefore, the present study investigated how relative deprivation affected sleep quality by testing an integrated model and examining the roles of social anxiety and trait mindfulness. We surveyed 568 college students using the Relative Deprivation Scale, Interaction Anxiousness Scale, Mindful Attention Awareness Scale, and Pittsburg Sleep Quality Index. Data were analyzed using SPSS 24.0 and PROCESS macro for SPSS. We found that a high relative deprivation score predicted poor sleep quality, and social anxiety partially mediated this relationship. Our model also indicated that the relationship between relative deprivation and sleep quality via social anxiety was moderated by mindfulness. Specifically, increasing trait mindfulness may decrease the indirect effect of relative deprivation on sleep quality through social anxiety. The current study expands our understanding of the underlying mechanisms, paths, and conditions of the effects of relative deprivation on sleep quality. Furthermore, we provide additional evidence that trait mindfulness can mitigate the adverse effects of negative events. College students should consciously use trait mindfulness techniques to consider problems, reduce anxiety, and improve their sleep quality.

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Predictive Relationships Among Smartphone Addiction, Fear of Missing Out and Interaction Anxiousness

Cited by 10 publications

References 64 publications

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

Fear of missing out (FoMO) and internet use: A comprehensive systematic review and meta-analysis

How relative deprivation affects the sleep quality of Chinese college students: testing an integrated model of social anxiety and trait mindfulness

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