A configurational investigation of smartphone use disorder among adolescents in three educational levels

Gao, Qiufeng; Jia, Ge; Fu, En; Olufadi, Yunusa; Huang, Yanlin

doi:10.1016/j.addbeh.2019.106231

Cited by 17 publications

(8 citation statements)

References 81 publications

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“…The theory posits that human development occurs in ecological systems, where the individual interacts with various environments. According to Ecological System Theory (Bronfenbrenner, 1979), the proximal environmental subsystems, such as family and school, play an important role in individual development (Lippert et al, 2019;Gao et al, 2020). School factors and family factors have been found to be closely related to students' academic performance under the framework of Ecological System Theory (Liu Teng and Zhu, 2019;Kim Sanders et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Links between Chinese vocational school students’ perception of parents’ emotional support and school cooperation climate and their academic performance: The mediating role of school belonging

2022

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The role of social environmental factors on student academic achievement has been conceptualized from the perspective of the ecological system theory. In the present study, a strengths-based approach derived from the theory of positive youth development was adopted to explore the two favorable aspects of proximal social environments, including parents’ emotional support and school cooperation climate, and to examine how these two factors influence the academic performance among Chinese senior-secondary vocational school students. Participants were 1,940 students (55.4% male) who took part in the Programme for International Student Assessment (PISA) 2018 test from four regions in China. The students completed the questionnaires to assess parents’ emotional support, school cooperation climate, school belonging, and academic performance. By adopting the structural equation model, the results revealed that school belonging fully mediates the association between parents’ emotional support and academic scores, and the association between school cooperation climate and academic scores. In addition, multiple group comparison analyses showed there were some gender differences in the relationships between school cooperation climate and academic performance. The practical significance of the influence of parental support and school cooperation climate on student academic achievement was also discussed.

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Section: Introductionmentioning

confidence: 99%

Links between Chinese vocational school students’ perception of parents’ emotional support and school cooperation climate and their academic performance: The mediating role of school belonging

2022

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“…Therefore, we explicitly state that most studies in the field clearly investigated individual differences in the tendencies towards SmUD (on a subclinical level). Nevertheless, we use the SmUD term to strive for unification of terms in the field of technology use disorders in the literature; see also that other researchers use this terminology; e. g. Gao, Jia, Fu, Olufadi, and Huang (2020), Peng, Zhou, Wang, Zhang, and Hu (2020).…”

Section: Introductionmentioning

confidence: 99%

The association between the Big Five personality traits and smartphone use disorder: A meta-analysis

Marengo

Sindermann

Häckel

et al. 2020

JBA

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Background and aimsPersonality is one of the most frequently investigated variables to shed light on the putatively addictive use of the smartphone. By investigating associations between personality and individual differences in addictive smartphone use, researchers aim to understand if some personality traits predispose technology users to develop addictive behaviors. Here, based on existing empirical literature, we aimed at determining the strength of associations between Big Five personality traits and smartphone use disorder (SmUD) by a meta-analytic approach.MethodFor each Big Five personality trait, we performed a meta-analysis of correlations representing their association with SmUD. We also investigated possible publication bias and the moderating effects of age, gender, nationality, length of personality assessments, and time of publication.ResultsWe found n = 26 eligible studies. In line with both the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the framework on problematic mobile-phone use by Billieux, we observed a positive association between Neuroticism and SmUD (r = 0.25), while the association between Extraversion and SmUD was not significant. Partially in line with the aforementioned theoretical frameworks, Conscientiousness was negatively associated with SmUD (r = −0.16). Remaining traits showed smaller associations. No significant publication bias emerged. Moderator analyses showed that time of publication moderated the link between Conscientiousness and SmUD. Moreover, Agreeableness and Conscientiousness showed a heightened inverse association with SmUD among older samples.ConclusionsThe present meta-analysis provides robust empirical evidence that Big Five personality traits can help to understand individual differences in SmUD, supporting the usefulness of their assessment when planning and targeting interventions aimed at at-risk individuals.

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“…It is worthy to note that the SAS scale is not a diagnostic tool for SmUD but is instead meant to provide an assessment of users’ addictive tendencies toward using smartphones. To keep in line with previous studies [ 7 , 10 ] however, in this study, the SAS total score was treated as an indicator of a general tendency toward SmUD. The SAS items assess 6 components of smartphone addiction, namely daily life disturbances (eg, “Missing planned works due to smartphone usage”), positive anticipation (eg, “Feeling pleasant or excited while using a smartphone”), withdrawal (eg, “Having my smartphone in my mind even when I’m not using it”), cyberspace-oriented relationships (eg, “Feeling that my smartphone buddies understand me better than my real-life friends”), overuse (eg, “Using my smartphone longer than I had intended”), and tolerance (eg, “The people around me tell me that I use my smartphone too much”).…”

Section: Methodsmentioning

confidence: 99%

“…However, the question regarding the actual nature of problematic smartphone and SN use has not been ultimately settled until now. In line with the term disorder , which is used to describe behavioral addictions in the International Classification of Diseases, 11th edition (eg, gaming disorder) as well as those in previous literature related to this area of research [ 7 , 10 ], we chose to use the term SmUD in this paper. Still, we explicitly stress the importance of refraining from pathologizing everyday life behaviors [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study

Marengo¹,

Sariyska²,

Schmitt³

et al. 2021

J Med Internet Res

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Background Social communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc). Objective In this study, we investigated the correlation between individuals’ tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage. Methods We recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis. Results The frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps. Conclusions Our novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.

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A configurational investigation of smartphone use disorder among adolescents in three educational levels

Cited by 17 publications

References 81 publications

Links between Chinese vocational school students’ perception of parents’ emotional support and school cooperation climate and their academic performance: The mediating role of school belonging

Links between Chinese vocational school students’ perception of parents’ emotional support and school cooperation climate and their academic performance: The mediating role of school belonging

The association between the Big Five personality traits and smartphone use disorder: A meta-analysis

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study

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