2020
DOI: 10.4094/chnr.2020.26.1.47
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Smartphone Use Patterns of Smartphone-dependent Children

Abstract: Purpose: The purpose of this study was to identify the smartphone use patterns of smartphone-dependent children.Methods: The study design was a cross-sectional descriptive study. The data were derived from the 2017 survey on smartphone overdependence conducted by the Ministry of Science and ICT and the National Information Society Agency. The study sample was 595 elementary school students identified as being smartphone-dependent. The data were analyzed by frequency, percentage, mean, standard deviation, the i… Show more

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Cited by 16 publications
(16 citation statements)
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“…The use of other application categories is still below the frequency of using the applications that have been mentioned. [17] The percentage of the sample in this study who experienced mild anxiety was 9.7% and those who did not experience anxiety were 90.3%. The findings of this study are different from the findings of the study by.…”
Section: Discussionmentioning
confidence: 59%
“…The use of other application categories is still below the frequency of using the applications that have been mentioned. [17] The percentage of the sample in this study who experienced mild anxiety was 9.7% and those who did not experience anxiety were 90.3%. The findings of this study are different from the findings of the study by.…”
Section: Discussionmentioning
confidence: 59%
“…Gaming i) Playing video games predicted problematic smartphone use [25], [27]- [29]; ii) Games apps were positively related to symptoms of smartphone addiction [31], [47]; iii) Playing games was associated with a higher smartphone addiction tendency [38], [41], [42], [44], [45]; vi) In female subsamples, time spent using mobile phones for video gaming negatively predicted mobile phone addiction symptoms [32]; v) Mobile phone gaming mediated the association between autonomy need dissatisfaction and problematic mobile phone use [60]. Watching videos/ TV/Movies i) Mobile videos predicted PSU [29]; ii) Watching videos was positively related to symptoms of addiction [31]; iii) Watching videos was significantly associated with higher smartphone addiction [45], [61]; vi) Senior high school students who use the internet to watch online videos have lower smartphone addiction levels [38]; v) Watching online TV predicted PSU [25]; vi) Social-recreational online users (those who frequently engage in watching online TV) had significantly higher levels of PSU over time [49]. Web surfing i) Web content consumption predicted problematic smartphone use [46], [52]; ii) Using a smartphone for information seeking was linked to smartphone dependence [47]; iii) "Use to follow the news" decreased the risk of addiction [30]; iv) Instrumental smartphone use motivation (i.e., acquiring information or expanding knowledge) was negatively related to PSU via more time spent on the learning and less time spent on entertainment and communication [56].…”
Section: Video and Phone Callsmentioning
confidence: 99%
“…Music/podcasts/ radio PSU levels were significantly higher in social-recreational onliners (those who spend a lot of time in listening to music) [49]. Educational learning i) Learning applications were associated with severe smartphone dependence [61]; ii) The risk of smartphone addiction is lower when using the Internet for academic purposes [30], [38].…”
Section: Video and Phone Callsmentioning
confidence: 99%
“…Namun, pengawasan dan tata cara mengoperasikan perangkat smartphone tidak secara terang-terangan diajarkan, anak meniru perilaku penggunaan smartphone dari orang tuanya. Orang tua perlu memahami secara lebih khusus terkait pengasuhan dan pola penggunaan smatphone pada anak (Park, 2020). Hal ini mengarah pada anak tidak hanya meniru perilaku penggunaan smartphone orang tua namun, orang tua dapat secara aktif berperan mengarahkan dan mendisiplinkan penggunaan smartphone.…”
Section: Penyajian Dataunclassified