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Adaptation and Psychometric Evaluation of the Turkish Version of the Reflective Smartphone Disengagement Scale for Nursing Students

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Background: Problematic smartphone use among nursing students has been linked to impaired learning and professional performance. While previous research has primarily focused on addictive or compulsive smartphone use, limited attention has been paid to individuals’ intentional and reflective efforts to regulate their smartphone use. Moreover, no validated instrument exists to assess reflective smartphone disengagement among nursing students in the Turkish context.Purpose: This study aimed to adapt and validate the Turkish version of the Reflective Smartphone Disengagement Scale among undergraduate nursing students.Methods: A descriptive, cross-sectional design was employed at a nursing faculty in a public university in the southern region of Türkiye. Using convenience sampling, the study included 376 undergraduate nursing students from all grade levels who owned a smartphone and consented to participate. Sample size adequacy was supported by recommended item-to-participant ratios and an acceptable KMO value. Data were collected using a personal information form, the Reflective Smartphone Disengagement Scale, and the Nomophobia Questionnaire. Face, content, construct, and criterion validity procedures were applied for scale adaptation.Results: Exploratory Factor Analysis (EFA) revealed that the Turkish version of the Reflective Smartphone Disengagement Scale has a two-factor structure with six items, comprising usage moderation (items related to limiting smartphone use across specific times, places, situations, and life balance) and availability management (items related to controlling reachability and intentional disconnection). Internal consistency was acceptable, with Cronbach’s alpha coefficients of .70 and .81, respectively. Confirmatory Factor Analysis indicated a good model fit (CFI = .97, RMSEA = .08).Conclusion: The Turkish version of the Reflective Smartphone Disengagement Scale is a valid and reliable tool for assessing nursing students’ conscious efforts to manage smartphone use and can be utilized in nursing education to identify students’ self-regulatory behaviors and inform interventions aimed at promoting healthy smartphone use in academic and clinical settings.

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Problematic technology use needs to be tackled so that children and adolescents can reap positive benefits during the COVID-19 pandemic.
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  • Korean Journal of Child Studies
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How Mothers’ Problematic Smartphone Use Affects Adolescents’ Problematic Smartphone Use: Mediating Roles of Time Mothers Spend with Adolescents and Adolescents’ Self-Esteem
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Unveiling the Mediating Role of Boredom Proneness in the Relationship Between FoMO and Problematic Smartphone Use Among Undergraduates
  • Nov 7, 2025
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  • Deniz Mertkan Gezgin

Problematic smartphone use refers to a pattern of behavior that negatively affects individuals’ psychological, social, and physical well-being and has therefore become a significant focus of academic research. Individuals engaging in problematic smartphone use often experience withdrawal symptoms when unable to access their smartphones, which can disrupt daily life, academic performance, and social relationships. The development of problematic smartphone use has been linked to several psychological factors, with the fear of missing out emerging as a key predictor. Fear of missing out is conceptualized as an outcome of unmet basic psychological needs, as explained within the framework of Self-Determination Theory. Moreover, previous studiessuggestthatboredompronenessmay also play a role in problematic smartphone use, as individuals prone to boredom tend to use smartphones to seekstimulating or rewarding experiences. Given the adverse consequences of problematic smartphone use, it is crucial to better understand the underlyingfactors contributing to this behavior. The present study investigated the mediating role of boredom proneness in the relationship between fear of missing out and problematic smartphone use among university students. In this study, these relationships were examined theoretically within the framework ofthe Person-EmotionCognition-Application Interaction model. According to this theoretical perspective, boredom proneness serves as an affective reaction mechanism in the relationship between fear of missing out and problematic smartphone use. A total of 515 university students from a state university participated in this cross-sectional study, completing an online survey via Google Forms. Measures included the Short Boredom Proneness Scale, theSmartphone Addiction Scale–Short Form, and the Fear of Missing Out Scale. Analyses controlled for gender. The mediation pattern held aftercontrolling forgender; female students reported higher problematic smartphone use than males, whereas gender did not predict boredom proneness. The findings revealed that fear of missing out has both a direct and an indirect effect on problematic smartphone use, with boredom proneness serving as a partialmediator in this relationship. These results highlight the importance of targeting both fear of missing out and boredom proneness in intervention and prevention strategies aimed at reducing problematic smartphone use. Cite this article as: Gezgin, D. M. (2025). Unveiling the mediating role of boredom proneness in the relationship between FoMO and problematic smartphone use among undergraduates. Addicta: The Turkish Journal on Addictions, Published online November 7, 2025. doi:10.5152/ ADDICTA.2024.25519

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  • 10.1007/s12144-022-03556-3
Parent-child relationship and problematic smartphone use among chinese adolescents: a moderated mediation model.
  • Aug 10, 2022
  • Current Psychology
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To explore the influence and mechanism of parent-child relationship on adolescents’ problematic smartphone use, a sample of 3355 Chinese adolescents (Mage=16.93, SD = 0.49, range: 14–19 years old; 48% boys) is recruited to measure parent-child relationship, problematic smartphone use, personal growth initiative, and school belonging. The results are as follows. (1) After controlling for gender, age and time spent online per day, parent-child relationship is negatively correlated with problematic smartphone use, and the negative association between parent-child relationship and problematic smartphone use is mediated by the personal growth initiative. (2) The association between parent-child relationship and problematic smartphone use, the association between parent-child relationship and personal growth initiative, and the association between personal growth initiative and problematic smartphone use are all moderated by school belonging and are stronger in adolescents with a high level of school belonging. The present study highlights the mediating role of personal growth initiative and the moderating role of school belonging in the association between parent-child relationship and problematic smartphone use. This study also contributes to a better understanding of the effects, paths, and conditions of parent-child relationship on the problematic smartphone use of adolescents and provides constructive suggestions for preventing adolescents’ problematic smartphone use in the mobile Internet era.

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  • Research Article
  • Cite Count Icon 82
  • 10.1007/s10639-022-11437-2
Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review
  • Nov 29, 2022
  • Education and Information Technologies
  • Magdalena Sánchez-Fernández + 1 more

University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to understand the current state of play by examining the terminology, assessment instruments, prevalence, and predictive factors associated with problematic smartphone use and specific problematic Internet uses in university students. A literature review was conducted according to the PRISMA guidelines using four major databases. A total of 117 studies were included, divided into four groups according to the domain of problem behaviour: problematic smartphone use (n = 67), problematic social media use (n = 39), Internet gaming disorder (n = 9), and problematic online pornography use (n = 2). Variability was found in terminology, assessment tools, and prevalence rates in the four groups. Ten predictors of problematic smartphone use, five predictors of problematic social media use, and one predictor of problematic online gaming were identified. Negative affectivity is found to be a common predictor for all three groups, while social media use, psychological well-being, and Fear of Missing Out are common to problematic smartphone and social media use. Our findings reaffirm the need to reach consistent diagnostic criteria in cyber addictions and allow us to make progress in the investigation of their predictive factors, thus allowing formulation of preventive strategies.

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  • Cite Count Icon 17
  • 10.1016/j.chb.2020.106634
Self and other ratings of problematic smartphone use: The role of personality and relationship type
  • Nov 26, 2020
  • Computers in Human Behavior
  • Sharon Horwood + 1 more

Self and other ratings of problematic smartphone use: The role of personality and relationship type

  • Research Article
  • Cite Count Icon 2
  • 10.1556/jba-9-686
Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective
  • Aug 13, 2020
  • Journal of Behavioral Addictions
  • Cornelia Sindermann + 4 more

Background and aimsStudies have demonstrated associations between both problematic smartphone and social networks use with everyday life adversities. However, examination of associations between problematic smartphone use (PSU) and problematic use of specific social networking platforms, especially on item-level data, has received relatively little attention. Therefore, the aim of the current study was to explore how items of problematic smartphone, Facebook, WhatsApp, and Instagram use are associated.Methods949 German-speaking adults participated in a web survey study. The participants were queried about their socio-demographics as well as levels of problematic smartphone, Facebook, WhatsApp, and Instagram use. In addition to bivariate correlation analysis, exploratory graph analysis (EGA), a type of network analysis, was conducted.ResultsThe results showed that while problematic Facebook and Instagram use seem to be distinct phenomena, problematic smartphone and WhatsApp use were heavily intertwined. Furthermore, the only cross-platform symptom observed was the extent of reported pain in wrists and neck due to digital technology use. The EGA network models showed very good stability in bootstrap analyses.Discussion and conclusionsIn general, the results of this study suggest that while Instagram and Facebook use may potentially constitute distinct problematic behaviors, problematic smartphone/WhatsApp use scales may be measuring highly similar or even the same construct.

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