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      Why are Individuals with Alexithymia Symptoms More Likely to Have Mobile Phone Addiction? The Multiple Mediating Roles of Social Interaction Anxiousness and Boredom Proneness

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          Abstract

          Purpose

          Previous studies have investigated the relationship between alexithymia and problematic mobile phone use (PMPU). However, yet gaps in identifying the internal mechanisms of this relationship remain. Hence, based on the Interaction of Person–Affect–Cognition–Execution model, the current research examined the mediating roles of college students’ social interaction anxiousness (SIA) and boredom proneness (BPS) in the relationship between alexithymia and PMPU.

          Methods

          A total of 1300 college students ( M age = 20.36 years, SD = 0.97) were recruited from two universities in the southeast of China to complete a series of questionnaires, including the Toronto alexithymia scale, SIA scale, BPS scale, and mobile phone addiction index questionnaire. In order to conduct conservative predictions, the demographic variables (ie, gender) were controlled as covariates.

          Results

          The results of multiple mediation analysis showed that (1) alexithymia was positively linked with PMPU; (2) both SIA and BPS mediated the link between alexithymia and PMPU; and (3) a serial indirect pathway emerged (ie, alexithymia → SIA → BPS → PMPU).

          Conclusion

          These findings indicated that alexithymia could influence PMPU in a simple indirect way (parallel mediation) and in a complex indirect way (serial mediation). Besides, these findings provide some insights into the prevention and intervention of PMPU.

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          Most cited references66

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

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              Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model.

              Within the last two decades, many studies have addressed the clinical phenomenon of Internet-use disorders, with a particular focus on Internet-gaming disorder. Based on previous theoretical considerations and empirical findings, we suggest an Interaction of Person-Affect-Cognition-Execution (I-PACE) model of specific Internet-use disorders. The I-PACE model is a theoretical framework for the processes underlying the development and maintenance of an addictive use of certain Internet applications or sites promoting gaming, gambling, pornography viewing, shopping, or communication. The model is composed as a process model. Specific Internet-use disorders are considered to be the consequence of interactions between predisposing factors, such as neurobiological and psychological constitutions, moderators, such as coping styles and Internet-related cognitive biases, and mediators, such as affective and cognitive responses to situational triggers in combination with reduced executive functioning. Conditioning processes may strengthen these associations within an addiction process. Although the hypotheses regarding the mechanisms underlying the development and maintenance of specific Internet-use disorders, summarized in the I-PACE model, must be further tested empirically, implications for treatment interventions are suggested.
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                Author and article information

                Journal
                Psychol Res Behav Manag
                Psychol Res Behav Manag
                prbm
                Psychology Research and Behavior Management
                Dove
                1179-1578
                08 October 2021
                2021
                : 14
                : 1631-1641
                Affiliations
                [1 ]School of Teacher Education, Zhejiang Normal University , Jinhua, People’s Republic of China
                [2 ]School of Education, Fujian Polytechnic Normal University , Fuzhou, People’s Republic of China
                [3 ]Jinhua Advanced Research Institute , Jinhua, People’s Republic of China
                [4 ]Psychological Counseling Center of Student Affairs Office, Zhangzhou City College , Zhangzhou, People’s Republic of China
                Author notes
                Correspondence: Xinwei Li; Xue Lin Email Lixinwei0417@126.com; 564056074@qq.com
                [*]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0002-9864-4589
                Article
                328768
                10.2147/PRBM.S328768
                8518138
                34675703
                2cfccb29-c0d5-4147-b90f-f268925182fd
                © 2021 Xiao et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 14 July 2021
                : 07 September 2021
                Page count
                Figures: 2, Tables: 12, References: 66, Pages: 11
                Funding
                This work was funded by the key project of the Ministry of Education of the National Educational Science Planning (DHA210341).
                Categories
                Original Research

                Clinical Psychology & Psychiatry
                alexithymia,social interaction anxiousness,boredom proneness,problematic mobile phone use,college students

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