The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics

Fırat, Sümeyra; Gül, Hesna; Sertçelik, Mehmet; Gül, Ahmet; Gürel, Yusuf; Kılıç, Birim Günay

doi:10.1016/j.psychres.2018.09.015

Cited by 55 publications

(39 citation statements)

References 34 publications

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“…Donnelly and Kuss [39] emphasized that time spent on social networks and an addictive use were associated with depressive symptoms. Interpersonal sensitivity was shown to predict symptoms of social networks use disorder, which could be explained by the desire to gratify feelings of social belongingness and social compensation [3,40,41]. Wegmann and Brand [3] additionally illustrated that the effect was mediated by the expectancies to avoid negative feelings or to experience pleasure.…”

Section: Empirical Overview About Psychosocial Characteristics As Rismentioning

confidence: 97%

A narrative Overview About Psychosocial Characteristics as Risk Factors of a Problematic Social Networks Use

Wegmann

Brand

2019

Curr Addict Rep

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Purpose of Review Social networks use disorder describes the problematic use of social networking sites and onlinecommunication applications. Social characteristic of social networks use emphasizes the special relevance of psychosocial factors and social cognitions in this context. The current review aims at summarizing findings on individual psychosocial characteristics to analyze the relevance of social processes as potential mechanisms of a social networks use disorder. Recent Findings The empirical overview illustrates that, aside from psychopathological factors, individual psychosocial characteristics and social cognitions as well as their interactions appear to be relevant risk factors for a problematic use of social networks. However, empirical findings are mixed. Summary We propose two hypotheses on the development of a potential social networks use disorder that might account for mixed results: the fear-driven/compensation-seeking hypothesis including compensatory use expectancies and the reward-driven hypothesis including positive use expectancies as key elements, both of which could lead to symptoms of social networks use disorder depending on interindividual differences in predisposing and reinforcing factors.

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Section: Empirical Overview About Psychosocial Characteristics As Rismentioning

confidence: 97%

A narrative Overview About Psychosocial Characteristics as Risk Factors of a Problematic Social Networks Use

Wegmann

Brand

2019

Curr Addict Rep

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“…Finally, this study first sought to explore the demographic factors influence on the adolescents' problematic smartphone use, namely gender, age, grades and parental education [59][60][61][62]. Afterwards, the main focus of the study is to find out how does a marketing based education program reduces the problematic smartphone use of adolescents.…”

Section: Hook Strategymentioning

confidence: 99%

“…SASA was developed by Kwon et al [60]. The Turkish validation study conducted by Demirci et al (2014) consisted of 6 point Likert scales ranging from 1 (Definitely No) to 6 (Definitely Yes), 36-items and 7 factors as disturbing daily life and tolerance, withdrawal symptoms, positive anticipation, overuse, social network dependency, physical symptoms and cyberspace-oriented relationships [61].…”

Section: The Smartphone Addiction Scale For Adolescentsmentioning

confidence: 99%

A Marketing Approach to a Psychological Problem: Problematic Smartphone Use on Adolescents

Ertemel

Arı

2020

IJERPH

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Background: Smartphones have become an indispensable part of the daily lives of adolescents in the 21st century, which is characterized by a highly digitized modern world. Besides their many advantages, smartphones might pave the way to compulsive usage and addictive experiences. To remedy this problem, this study proposes an authentic approach which integrates consumer behavior theories and techniques such as unhook and gamification. An education program has been designed based on these approaches to decrease the problematic smartphone use. Method: The participants of the education program consisted of 305 students (48.2% girls and 51.8% boys) with a mean age of 14.57 (SD = 0.74). The Demographic Form and Smartphone Addiction Scale for Adolescents (SASA) were conducted before the education program and three weeks after the education. Results: The results of the paired sample t-test analysis before and after the education program revealed that the SASA total scores decreased significantly (p < 0.01). There are significant differences in terms of gender, mothers' education and class levels. Conclusion: This research emphasizes the role of an interdisciplinary approach to the addiction problem. The content used in the education program includes strategies that originally aimed at increasing consumption. The effectiveness of the program can be enhanced further in the future along with self-regulatory additions.

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“…The personal factors in smartphone addiction include personality (Cocorada, Maican, Cazan, & Maican, 2018;Gao, Xiang, Zhang, Zhang, & Mei, 2017), psychological problems such as anxiety, depression (Chen et al, 2017;Long et al, 2016), somatization and hostility symptoms (Fırat et al, 2018), quality of life (Kumcagiz, 2019), self-esteem (J. Lee et al, 2018), stress (Haug et al, 2015;Long et al, 2016) and income (Chen et al, 2017).…”

Section: Personalmentioning

confidence: 99%

“…The interpersonal factors that cause smartphone addiction include their relationships with their parents (Fırat et al, 2018;C. Lee & Lee, 2017) and social support such as their school life (C. .…”

Section: Interpersonalmentioning

confidence: 99%

Predictive Risk Factors of Smartphone Addiction in Adolescents: A Systematic Review

Fauzi

Yusuf

Mundakir

2020

J. Ners

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Introduction: Smartphone addiction often occurs in adolescents. The purpose of this systematic review was to identify the predictors of smartphone addiction in adolescents.Methods: The method used in this systematic review consisted of 5 stages: (1) the identification of the instruments used in the literature (database search); (2) the identification of the relevant literature based on the title and abstract; (3) the inclusion and exclusion criteria; (4) getting the full-text literature and (5) grading based on the literature component and the analysis of the selected instruments. The databases used in the literature search were Scopus, PubMed, Science Direct and Springer Link from 2013 - 2018. The criteria for the included articles were that they used a cross-sectional design and involved adolescents as the sample.Results: 17 of 829 articles met the inclusion criteria. The predictors of smartphone addiction were broadly divided into 3, namely personal factors, interpersonal factors and behavioral factors. These 3 factors are related to one another.Conclusion: It is necessary to do further research within a case-control study to strengthen this systematic review.

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The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics

Cited by 55 publications

References 34 publications

A narrative Overview About Psychosocial Characteristics as Risk Factors of a Problematic Social Networks Use

A narrative Overview About Psychosocial Characteristics as Risk Factors of a Problematic Social Networks Use

A Marketing Approach to a Psychological Problem: Problematic Smartphone Use on Adolescents

Predictive Risk Factors of Smartphone Addiction in Adolescents: A Systematic Review

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