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      Problematic Mobile Phone Use by Hong Kong Adolescents

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          Abstract

          Background

          Recently there have been growing concerns about problematic mobile phone use by adolescent populations. This study aimed to address this concern through a study of severity and correlates of problematic mobile phone use with a sample of Hong Kong adolescents.

          Methods

          Data were collected from a sample of adolescents from three local secondary schools (ranging from high to low academic achievement levels) using a measuring scale (PCPU-Q, Yen et al., 2009) designated for Chinese adolescents. Participants were allocated into groups of “problematic users” and “non-problematic users” based on the number of occurrence of symptoms due to excessive and maladaptive use of mobile phone and possible functional impairments caused by problematic mobile phone use. A group of “at-risk users” was identified. A sample-based examination on distribution of these three groups of users was conducted via frequency counts and percentage calculation. A series of t-test were performed to make comparisons between “problematic” and “non-problematic” groups on selected personality and health related variable. Risk and protective factors were identified via correlational analysis and logistic regression analysis.

          Results

          Under a more stringent cut-off criterion of four or more reported symptoms (out of seven) plus one or more reported functional impairments (out of five), 22.9% of the adolescents participating in this study could be classified as problematic mobile phone users. However, a more lenient criterion (only 4 or more reported symptoms without consideration of functional impairment) reported a substantially more severe prevalence rate (29.3%). A new group of “at-risk” adolescents (6.4%) was identified with such a discrepancy of prevalence rate. Gender difference, some risk and protective factors were also identified for developing this technology-related problem.

          Discussion and Conclusions

          Adolescents who are vulnerable to suffer from this technology-related problem deserve more attention from helping professionals. Results of this study throw some insights on how to identify problematic mobile phone user applying a criterion-referenced approach. This study echoes a recent call for adopting a developmental perspective in understanding this problem and conducting research in this area. Anchored on present findings, effective interventions to tackle this rising problem among adolescents are suggested.

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          Most cited references48

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          The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents

          Objective This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents. Method A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off. Results The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888–1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887–1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls. Conclusions The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
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            Identity Youth and Crisis

            <b><i>Identity: Youth and Crisis</i> collects Erik H. Erikson's major essays on topics originating in the concept of the adolescent identity crisis. </b><br><br>Identity, Erikson writes, is an unfathomable as it is all-pervasive. It deals with a process that is located both in the core of the individual and in the core of the communal culture. As the culture changes, new kinds of identity questions arise—Erikson comments, for example, on issues of social protest and changing gender roles that were particular to the 1960s.<br> <br> Representing two decades of groundbreaking work, the essays are not so much a systematic formulation of theory as an evolving report that is both clinical and theoretical. The subjects range from "creative confusion" in two famous lives—the dramatist George Bernard Shaw and the philosopher William James—to the connection between individual struggles and social order. "Race and the Wider Identity" and the controversial "Womanhood and the Inner Space" are included in the collection.
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              Psychological predictors of problem mobile phone use.

              Mobile phone use is banned or illegal under certain circumstances and in some jurisdictions. Nevertheless, some people still use their mobile phones despite recognized safety concerns, legislation, and informal bans. Drawing potential predictors from the addiction literature, this study sought to predict usage and, specifically, problematic mobile phone use from extraversion, self-esteem, neuroticism, gender, and age. To measure problem use, the Mobile Phone Problem Use Scale was devised and validated as a reliable self-report instrument, against the Addiction Potential Scale and overall mobile phone usage levels. Problem use was a function of age, extraversion, and low self-esteem, but not neuroticism. As extraverts are more likely to take risks, and young drivers feature prominently in automobile accidents, this study supports community concerns about mobile phone use, and identifies groups that should be targeted in any intervention campaigns.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                15 December 2020
                2020
                : 11
                : 551804
                Affiliations
                [1] 1Department of Social and Behavioural Sciences, City University of Hong Kong , Kowloon, Hong Kong
                [2] 2Faculty of Education, The University of Hong Kong , Pok Fu Lam, Hong Kong
                Author notes

                Edited by: Caterina Primi, University of Florence, Italy

                Reviewed by: José Muñiz, Nebrija University, Spain; Giulia Fioravanti, University of Florence, Italy

                *Correspondence: Joseph Wu, joseph.wu@ 123456cityu.edu.hk

                This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2020.551804
                7769934
                33384636
                854ca767-15e1-47f7-a160-c4c099dc2587
                Copyright © 2020 Wu and Siu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 April 2020
                : 26 November 2020
                Page count
                Figures: 0, Tables: 6, Equations: 0, References: 49, Pages: 13, Words: 0
                Funding
                Funded by: City University of Hong Kong 10.13039/100007567
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                problematic mobile phone use,hong kong adolescents,prevalence,risk factor,protective factor

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