Perceived parental monitoring and adolescent internet addiction: A moderated mediation model

Ding, Qingwen; Li, Dongping; Zhou, Yueyue; Dong, Hongning; Luo, Jiang

doi:10.1016/j.addbeh.2017.05.033

Cited by 83 publications

(57 citation statements)

References 51 publications

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“…The current findings revealed that parental supervision was significantly and negatively predicted students' IA. This negative association between parental supervision and adolescent IA was repeatedly reported in studies conducted in different communities [54,55]. Adolescents living in universities apart from their parents may be vulnerable to internet addiction [56], thus, parents' maintaining a positive relationship with students (e.g., phone call) may sustain their supervision on their daily activities.…”

Section: Prevalence Of Internet Addictionmentioning

confidence: 80%

Online activities as risk factors for internet addiction among students in Bahir Dar University, North West Ethiopia: Hierarchical regression model

Asrese

Muche²

2019

Preprint

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Introduction: Internet addiction among the youth has become a public health concern. It leads to impairments in several aspects of life. Previous studies identified individual and environmental risk factors for internet addiction. The effect of online activities on youth internet use behavior is not well investigated. This study assessed the prevalence of internet addiction and determined the roles of online activities for internet addiction among students in Bahir Dar University. Methods: Data were collected from 812 randomly selected undergraduate regular program students recruited from 10 departments. Participants completed a pre-tested structured questionnaire. Results: The results indicated that 35.2% of students were classified as being addicted to the internet. The four most important online activities students engaged on the internet are social networking (75.5%), entertainments (73.6%), academic works (72.5%), and online game (60.8%). Including online activity variables improved the explanation of internet addicted behavior over the individual and environmental attributes. Online activities explained 48.4% of the variance in internet addiction. Students who did not use the internet for social networking (AOR = .11; 95% CI: .06 - .21) and online game (AOR = .31; 95% CI: .21 - .46) were less likely to be internet addicted. Conclusions: Our findings revealed that more than one third of the participants were addicted internet users. Online activities better predict students’ addicted internet use behavior than individual and environmental attributes. Thus, university authorities and other concerned bodies need to be aware of the prevalence of IA and introduce regulatory mechanisms to limit the usage of potentially addictive online internet applications and promote responsible internet use behavior.

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Section: Prevalence Of Internet Addictionmentioning

confidence: 80%

Online activities as risk factors for internet addiction among students in Bahir Dar University, North West Ethiopia: Hierarchical regression model

Asrese

Muche²

2019

Preprint

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“…Empirical evidence has supported these arguments. For instance, the negative association between parents' behavioral control (e.g., parental monitoring) and adolescent IA was repeatedly reported in studies conducted in different communities (Lin et al, 2009 ; Bleakley et al, 2016 ; Ding et al, 2017 ). On the other hand, psychological control and its related factors such as overintrusive parenting and authoritarian parenting were positively related to adolescent IA (Giles and Price, 2008 ; Huang et al, 2010 ; Cheung et al, 2015 ).…”

Section: Introductionmentioning

confidence: 85%

“…A considerable number of researchers came to realize that parents, as the primary source of social influence, may play a vital role in the emergence of adolescent IA (Shi et al, 2017 ). For instance, parental monitoring, and parental bonding were found to be negatively linked with children's IA (Siomos et al, 2012 ; Ding et al, 2017 ). However, most studies did not simultaneously investigate different processes of parent-child subsystem qualities such as behavioral control, psychological control, and parent-child relational qualities.…”

Section: Introductionmentioning

confidence: 99%

“…The third research gap is that few studies have distinguished between paternal and maternal effects and the limited existing research findings are not conclusive. In some studies, researchers simply asked adolescents to indicate their perceptions of their parents and investigated the relationship between the aggregated parenting and adolescent IA (Li et al, 2013 ; Bleakley et al, 2016 ; Ding et al, 2017 ). It is possible that mothering is more important than fathering in influencing children's behavior including IA (Burk and Laursen, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Parental Control and Parent-Child Relational Qualities on Adolescent Internet Addiction: A 3-Year Longitudinal Study in Hong Kong

2018

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This study investigated how parental behavioral control, parental psychological control, and parent-child relational qualities predicted the initial level and rate of change in adolescent internet addiction (IA) across the junior high school years. The study also investigated the concurrent and longitudinal effects of different parenting factors on adolescent IA. Starting from the 2009/2010 academic year, 3,328 Grade 7 students (Mage = 12.59 ± 0.74 years) from 28 randomly selected secondary schools in Hong Kong responded on a yearly basis to a questionnaire measuring multiple constructs including socio-demographic characteristics, perceived parenting characteristics, and IA. Individual growth curve (IGC) analyses showed that adolescent IA slightly decreased during junior high school years. While behavioral control of both parents was negatively related to the initial level of adolescent IA, only paternal behavioral control showed a significant positive relationship with the rate of linear change in IA, suggesting that higher paternal behavioral control predicted a slower decrease in IA. In addition, fathers' and mothers' psychological control was positively associated with the initial level of adolescent IA, but increase in maternal psychological control predicted a faster drop in IA. Finally, parent-child relational qualities negatively and positively predicted the initial level and the rate of change in IA, respectively. When all parenting factors were considered simultaneously, multiple regression analyses revealed that paternal behavioral control and psychological control as well as maternal psychological control and mother-child relational quality were significant concurrent predictors of adolescent IA at Wave 2 and Wave 3. Regarding the longitudinal predicting effects, paternal psychological control and mother-child relational quality at Wave 1 were the two most robust predictors of later adolescent IA at Wave 2 and Wave 3. The above findings underscore the importance of the parent-child subsystem qualities in influencing adolescent IA in the junior high school years. In particular, these findings shed light on the different impacts of fathering and mothering which are neglected in the scientific literature. While the findings based on the levels of IA are consistent with the existing theoretical models, findings on the rate of change are novel.

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“…Asimismo, si los adolescentes perciben un alto control parental, experimentarán lo que se ha denominado presencia parental, la cual facilita que internalicen las ideas y normas propuestas por sus padres y, progresivamente, alcanzar la autorregulación ante el uso de internet (Ding, Li, Zhou, Dong y Luo, 2017). Además, los adolescentes que señalan tener más control por parte de sus padres, sienten más involucración positiva por parte de estos en su vida (Khurana, Bleakley, Jordan, y Romer, 2015).…”

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Patrón de uso de internet y control parental de redes sociales como predictor de sexting en adolescentes: una perspectiva de género

Blasco¹,

Bernal²

2019

Rev. Psicol. Educ

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Perceived parental monitoring and adolescent internet addiction: A moderated mediation model

Cited by 83 publications

References 51 publications

Online activities as risk factors for internet addiction among students in Bahir Dar University, North West Ethiopia: Hierarchical regression model

Online activities as risk factors for internet addiction among students in Bahir Dar University, North West Ethiopia: Hierarchical regression model

The Influence of Parental Control and Parent-Child Relational Qualities on Adolescent Internet Addiction: A 3-Year Longitudinal Study in Hong Kong

Patrón de uso de internet y control parental de redes sociales como predictor de sexting en adolescentes: una perspectiva de género

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