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      Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates

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          Abstract

          Background

          Smartphones are becoming a daily necessity for most undergraduates in Mainland China. Because the present scenario of problematic smartphone use (PSU) is largely unexplored, in the current study we aimed to estimate the prevalence of PSU and to screen suitable predictors for PSU among Chinese undergraduates in the framework of the stress-coping theory.

          Methods

          A sample of 1062 undergraduate smartphone users was recruited by means of the stratified cluster random sampling strategy between April and May 2015. The Problematic Cellular Phone Use Questionnaire was used to identify PSU. We evaluated five candidate risk factors for PSU by using logistic regression analysis while controlling for demographic characteristics and specific features of smartphone use.

          Results

          The prevalence of PSU among Chinese undergraduates was estimated to be 21.3%. The risk factors for PSU were majoring in the humanities, high monthly income from the family (≥1500 RMB), serious emotional symptoms, high perceived stress, and perfectionism-related factors (high doubts about actions, high parental expectations).

          Conclusions

          PSU among undergraduates appears to be ubiquitous and thus constitutes a public health issue in Mainland China. Although further longitudinal studies are required to test whether PSU is a transient phenomenon or a chronic and progressive condition, our study successfully identified socio-demographic and psychological risk factors for PSU. These results, obtained from a random and thus representative sample of undergraduates, opens up new avenues in terms of prevention and regulation policies.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12888-016-1083-3) contains supplementary material, which is available to authorized users.

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          Most cited references75

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          A SELF-RATING DEPRESSION SCALE.

          W W Zung (1965)
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            Relationship of Smartphone Use Severity with Sleep Quality, Depression, and Anxiety in University Students

            Background and Aims The usage of smartphones has increased rapidly in recent years, and this has brought about addiction. The aim of the current study was to investigate the relationship between smartphone use severity and sleep quality, depression, and anxiety in university students. Methods In total, 319 university students (203 females and 116 males; mean age = 20.5 ± 2.45) were included in the study. Participants were divided into the following three groups: a smartphone non-user group (n = 71, 22.3%), a low smartphone use group (n = 121, 37.9%), and a high smartphone use group (n = 127, 39.8%). All participants were evaluated using the Pittsburgh Sleep Quality Index, Beck Depression Inventory, Beck Anxiety Inventory; moreover, participants other than those in the smartphone non-user group were also assessed with the Smartphone Addiction Scale. Results The findings revealed that the Smartphone Addiction Scale scores of females were significantly higher than those of males. Depression, anxiety, and daytime dysfunction scores were higher in the high smartphone use group than in the low smartphone use group. Positive correlations were found between the Smartphone Addiction Scale scores and depression levels, anxiety levels, and some sleep quality scores. Conclusion The results indicate that depression, anxiety, and sleep quality may be associated with smartphone overuse. Such overuse may lead to depression and/or anxiety, which can in turn result in sleep problems. University students with high depression and anxiety scores should be carefully monitored for smartphone addiction.
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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
                long-jiang@foxmail.com
                liutieqiaochina@163.com
                tangliaoyanhui@gmail.com
                qichang10@gmail.com
                hhyangel@163.com
                yisem@126.com
                joel.billieux@uclouvain.be
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                17 November 2016
                17 November 2016
                2016
                : 16
                : 408
                Affiliations
                [1 ]Mental Health Institute of the Second Xiangya Hospital, Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, Hunan People’s Republic of China
                [2 ]Laboratory for Experimental Psychopathology, Psychological Science Research Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
                [3 ]Internet and Gambling Disorders Clinic, Department of Adult Psychiatry, Cliniques Universitaires Saint-Luc, Brussels, Belgium
                [4 ]Department of Psychiatry and Biobehavioral Sciences and Semel Institution for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, California, USA
                Author information
                http://orcid.org/0000-0002-7730-2248
                Article
                1083
                10.1186/s12888-016-1083-3
                5114822
                27855666
                8ae13a57-ed57-413c-9ce0-7d505e15b0e2
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 June 2016
                : 21 October 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81371465
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004735, Natural Science Foundation of Hunan Province;
                Award ID: 2015JJ2180
                Award Recipient :
                Funded by: Fundamental Research Funds for the Central Universities of Central South University
                Award ID: 2016zzts146
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Clinical Psychology & Psychiatry
                smartphone addiction,problematic smartphone use,perfectionism,prediction,perceived stress,mobile phone addiction,mobile phone problematic use,risk factors

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