Quality of Life as a Predictor of Smartphone Addiction Risk Among Adolescents

Kumcağız, Hatice

doi:10.1007/s10758-017-9348-6

Cited by 27 publications

(29 citation statements)

References 20 publications

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“…Significant negative correlations were reported between PSU and QoL, 34,35 as well as between PSU and total HRQOL 36 . Overall lower QoL was also found to predict higher levels of PSU 34 …”

Section: Resultsmentioning

confidence: 82%

The impact of problematic smartphone use on children's and adolescents’ quality of life: A systematic review

2020

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Aim To provide a systematic review on studies examining problematic smartphone (PSU) use in children and adolescents, and its impact on quality of life, life satisfaction, and well‐being. Methods An extensive literature search was conducted in Google Scholar, Scopus and Pubmed. Results The search yielded k = 9 articles for which inclusion criteria were met. Five studies examined health‐related or overall quality of life, two assessed life satisfaction, and two evaluated well‐being in relation to PSU. Negative associations between PSU and the outcome variables were reported almost consistently, with one study yielding only a trend for a negative correlation of PSU with life satisfaction, and one study finding no significant correlation regarding quality of life. Comparability between studies was impeded by the scarcity of studies which met inclusion criteria and by the use of different measures. Conclusion More research is needed regarding PSU and the outcome variables in children and adolescents. Also, a distinct and consistent theoretical conceptualisation of PSU is required to replicate findings, and to enhance comparability between studies. Based on the trend reported here, the development of customised, early on interventions for children and adolescents at risk of PSU is warranted.

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“…Significant negative correlations were reported between PSU and QoL, 34,35 as well as between PSU and total HRQOL 36 . Overall lower QoL was also found to predict higher levels of PSU 34 …”

Section: Resultsmentioning

confidence: 82%

The impact of problematic smartphone use on children's and adolescents’ quality of life: A systematic review

2020

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“…Numerous studies revealed some predictors of mobile phone addiction such as quality of life (Kumcagiz, 2018), social selfefficacy (Kim and Koh, 2018), avoidant attachment (Kim and Koh, 2018) and self-esteem (Bianchi and Phillips, 2005). The relationship between adverse childhood experiences (ACEs) and addiction was proved by numerous studies (Sacco et al, 2007;Schellekens et al, 2013;Giordano et al, 2014;Puetz and McCrory, 2015;Levenson, 2016), but whether ACEs affect mobile phone addiction remains unclear.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Adverse Childhood Experiences on Mobile Phone Addiction in Chinese College Students: A Serial Multiple Mediator Model

Zhang

Chu

et al. 2020

Front. Psychol.

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Mobile phone addiction is a universal phenomenon that has attracted a lot of attention in recent years. Previous researches revealed a significant relation between adverse childhood experiences (ACEs) and addiction. This study further investigated the association between ACEs and mobile phone addiction, and the mediating effects of attachment styles and interpersonal relationships. The cross-sectional design and multiple questionnaires, namely, the Revised Adverse Childhood Experience Questionnaire, the Mobile Phone Addiction Index, the Revised Adult Attachment Scale (AAS), and the Interpersonal Relationship Comprehensive Diagnostic Scale (IRCDS) were used in the sample of 345 university students. Correlation analysis revealed that adverse childhood experience, attachment anxiety, attachment avoidance, interpersonal relationship, and mobile phone addiction were significantly positively correlated with each other. Results of regression analysis showed that attachment style and interpersonal relationship played multiple mediation roles in the association between adverse childhood experience and mobile phone addiction. That is, (1) adverse childhood experience was positively related to mobile phone addiction, (2) both attachment anxiety and interpersonal relationship played partial and parallel mediating roles between adverse childhood experience and mobile phone addiction, and (3) attachment anxiety/avoidance and interpersonal relationship mediated the relationship between adverse childhood experience and mobile phone addiction sequentially. These results indicated that mobile phone addiction among college students who had adverse childhood experience can be relieved by way of the remission of attachment anxiety, reduction of attachment avoidance, and improvement of interpersonal relationship.

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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%

“…Besides that, quality of life was found to be negatively correlated with smartphone addiction. The use of smartphones is used as an effort to improve the quality of life (Kumcagiz, 2019).…”

Section: Personalmentioning

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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Quality of Life as a Predictor of Smartphone Addiction Risk Among Adolescents

Cited by 27 publications

References 20 publications

The impact of problematic smartphone use on children's and adolescents’ quality of life: A systematic review

The impact of problematic smartphone use on children's and adolescents’ quality of life: A systematic review

The Impact of Adverse Childhood Experiences on Mobile Phone Addiction in Chinese College Students: A Serial Multiple Mediator Model

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

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