2021
DOI: 10.1002/cpp.2581
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Internet addiction and maladaptive schemas: The potential role of disconnection/rejection and impaired autonomy/performance

Abstract: Introduction and objectives: Problematic internet use (PIU) has become public health concern, particularly among adolescents and emerging adults. There is growing interest concerning the potential impacts of early maladaptive schemas (EMSs) on PIU and its most severe manifestation internet addiction (IA). However, a deeper understanding of these relationships is needed regarding of effects of schemas on IA. The purpose of the present study was to explore the role of EMSs among adults. Methods:The sample compri… Show more

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Cited by 24 publications
(10 citation statements)
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References 90 publications
(129 reference statements)
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“…Addressing such invitations, a growing body of research suggests that these addictive/problematic behaviors tend to co-occur rather than present in isolation ( Farré et al, 2015 , Haylett et al, 2004 , Lee et al, 2018 , Lorains et al, 2011 , Martin et al, 2013a , Mérelle et al, 2017 , Müller and Montag, 2017 , Szabo et al, 2018 ). Indeed, research supports that predisposing factors such as depression ( Xu et al, 2020 ), anxiety ( Stavropoulos et al, 2017 ), maladaptive strategies ( Ostovar et al, 2021 ), and adverse life experiences ( Farré et al, 2015 ), may act as antecedents leading to the development and maintenance of co-occurring addictive behaviors (see also the I-PACE model explaining the rise of addictive behaviors, in particular in the online realm; Brand et al, 2016 , Brand et al, 2019 ). Similarly, evidence indicates that commonalities across forms of addictions might act as a ‘gateway’ increasing the likelihood of comorbid addictions ( Burleigh et al, 2019 , Rozgonjuk et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Addressing such invitations, a growing body of research suggests that these addictive/problematic behaviors tend to co-occur rather than present in isolation ( Farré et al, 2015 , Haylett et al, 2004 , Lee et al, 2018 , Lorains et al, 2011 , Martin et al, 2013a , Mérelle et al, 2017 , Müller and Montag, 2017 , Szabo et al, 2018 ). Indeed, research supports that predisposing factors such as depression ( Xu et al, 2020 ), anxiety ( Stavropoulos et al, 2017 ), maladaptive strategies ( Ostovar et al, 2021 ), and adverse life experiences ( Farré et al, 2015 ), may act as antecedents leading to the development and maintenance of co-occurring addictive behaviors (see also the I-PACE model explaining the rise of addictive behaviors, in particular in the online realm; Brand et al, 2016 , Brand et al, 2019 ). Similarly, evidence indicates that commonalities across forms of addictions might act as a ‘gateway’ increasing the likelihood of comorbid addictions ( Burleigh et al, 2019 , Rozgonjuk et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…As a result of this increase, it is believed that addictive internet use has increased among young people and adults (Ostovar, Bagheri, Griffiths, & Mohd Hashima, 2021) As respects the circumstance in Iran, there's expanding evidence that too much screen time and web gaming have gotten to be major public wellbeing concerns (Abdoli et al, 2021).…”
mentioning
confidence: 99%
“…Using the backpropagation algorithm to study the data supervised. In this process, it optimized the parameters and proposed the expected model [10][11][12][13] .…”
Section: Analysis Of the Research Status Of Machine Learningmentioning
confidence: 99%