Derks D, van Duin D, Tims M, Bakker AB. Smartphone use and work–home interference: the moderating role of social norms and employee work engagement. J Occup Organ Psychol. 2015;88:155–77.
Ramanujam E, Perumal T, Padmavathi S. Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review. IEEE Sens J. 2021;21:13029–40.
Vaterlaus JM, Aylward A, Tarabochia D, Martin JD. A smartphone made my life easier: an exploratory study on age of adolescent smartphone acquisition and well-being. Comput Hum Behav. 2021;114:106563.
Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7:252.
Article PubMed PubMed Central Google Scholar
Lin YH, Chiang CL, Lin P-H, Chang L-R, Ko C-H, Lee Y-H, Lin S-H. (2016). Proposed Diagnostic Criteria for Smartphone Addiction. Plos One. 2016; 11: e0163010.
Yu S, Sussman S. Does smartphone addiction fall on a continuum of addictive behaviors? Int J Env Res Pub He. 2020;17:422.
Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, et al. Development and validation of a smartphone addiction scale (SAS). PLoS ONE. 2013;8:e56936.
Article PubMed PubMed Central CAS Google Scholar
Amez S, Baert S. Smartphone use and academic performance: a literature revie. Int J Educ Res. 2020;103:101618.
Hartanto A, Chua YJ, Quek FY, Wong J, Ooi WM, Majeed NM. Problematic smartphone usage, objective smartphone engagement, and executive functions: a latent variable analysis. Atten Percept Psycho. 2023;85:2610.
Ratan ZA, Parrish AM, Zaman SB, Alotaibi MS, Hosseinzadeh H. (2021). Smartphone addiction and associated health outcomes in adult populations: a systematic review. Int J Env Res Pub He. 2021; 18: 12257.
Arpaci I, Kocadag Unver T. Moderating role of gender in the relationship between big five personality traits and smartphone addiction. Psychiatr Q. 2020;91:577–85.
Cocoradă E, Maican CI, Cazan AM, Maican MA. Assessing the smartphone addiction risk and its associations with personality traits among adolescents. Child Youth Serv Rev. 2018;93:345–54.
Kim Y, Jeong JE, Cho H, Jung DJ, Kwak M, Rho MJ, et al. Personality factors predicting smartphone addiction predisposition: behavioral inhibition and activation systems, impulsivity, and self-control. PLoS ONE. 2016;11:e0159788.
Article PubMed PubMed Central Google Scholar
Carvalho LF, Sette CP, Ferrari BL. Problematic smartphone use relationship with pathological personality traits: systematic review and meta-analysis. Cyberpsych: J Psycho Res Cyberspace. 2018;12:1–20.
Xiong S, Xu Y, Zhang B, Zhu L, Xie J. Smartphone addiction and Eysenck’s personality traits among Chinese adolescents: a meta-analysis. Front Psychol. 2022;12:794112.
Article PubMed PubMed Central Google Scholar
Cho HY, Kim DJ, Park JW. Stress and adult smartphone addiction: mediation by self-control, neuroticism, and extraversion. Stress Health. 2017;33:624–30.
Gao T, Xiang YT, Zhang H, Zhang Z, Mei S. Neuroticism and quality of life: Multiple mediating effects of smartphone addiction and depression. Psychiat Res. 2017; 258: 457–461.
Marengo D, Sindermann C, Häckel D, Settanni M, Elhai JD, Montag C. The association between the big five personality traits and smartphone use disorder: a meta-analysis. J Behav Addict. 2020;9:534–50.
Article PubMed PubMed Central Google Scholar
Allen MT, Shields MM, Myers CE. Distressed (type D) personality is predicted by avoidance: evidence from a computer-based avatar task. PeerJ. 2022;10:e14302.
Article PubMed PubMed Central Google Scholar
Denollet J, Schiffer AA, Spek V. A general propensity to psychological distress affects cardiovascular outcomes: evidence from research on the type D (distressed) personality profile. Circ Cardiovasc Qual Outcomes. 2010;3:546–57.
Błachnio A, Przepiorka A, Czuczwar SJ. Type D personality, stress coping strategies and self-efficacy as predictors of Facebook intrusion. Psychiatry Res. 2017;253:33–7.
Holdoš J. Type D personality in the prediction of internet addiction in the young adult population of Slovak Internet users. Curr Psychol. 2017;36:861–8.
Denollet J. (2000). Type D personality: A potential risk factor refined. J Psychosom Res. 2000; 49: 255–266.
Asendorpf JB. Social inhibition: a general–developmental perspective. In: Traue HC, Pennebaker JW, editors. Emotion, inhibition, and Health. Seattle: Hogrefe & Huber; 1993. pp. 80–99.
Denollet J. (2005). DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med. 2005; 67: 89–97.
Lodder P. Modeling synergy: how to assess a type D personality effect. J Psychosom Res. 2020;132:109990.
Horwood S, Anglim J, Tooley G. Type D personality and the five-factor model: a facet-level analysis. Pers Indiv Differ. 2015;83:50–4.
Qiu H, Lu H, Pei J, Zhang Y, Ma Y, Xing C, et al. Effects of chronic stress on smartphone addiction: a moderated mediation model. Front Public Health. 2023;11:1048210.
Article PubMed PubMed Central Google Scholar
Yue H, Zhang X, Sun J, Liu M, Li C, Bao H. The relationships between negative emotions and latent classes of smartphone addiction. PLoS ONE. 2021;16:e0248555.
Article PubMed PubMed Central CAS Google Scholar
Brand M, Young KS, Laier C, Wölfling K, Potenza MN. 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. Neurosci Biobehav Rev. 2016;71:252–66.
Brand M, Wegmann E, Stark R, Müller A, Wölfling K, Robbins TW, et al. The Interaction of person-affect-cognition-execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neurosci Biobehav Rev. 2019;104:1–10.
Kuhl J, Kazén M, Koole SL. Putting self-regulation theory into practice: a user’s manual. Appl Psychol. 2006;55:408–18.
Ode S, Robinson MD. (2007). Agreeableness and the self-regulation of negative affect: Findings involving the neuroticism/somatic distress relationship. Pers Individ Dif. 2007; 43: 2137–2148.
Shi Y, Koval P, Kostakos V, Goncalves J, Wadley G. Instant happiness: smartphones as tools for everyday emotion regulation. Int J Hum Comput Stud. 2023;170:102958.
Kang S, Jung J. Mobile communication for human needs: a comparison of smartphone use between the US and Korea. Comput Hum Behav. 2014;35:376–87.
Stone J, Cooper J. A self-standards model of cognitive dissonance. J Exp Soc Psychol. 2001;37:228–43.
McGrath A. Dealing with dissonance: a review of cognitive dissonance reduction. Soc Personal Psychol Compass. 2017;11:e12362.
Domagalska J, Rusin M, Razzaghi M, Nowak P. Personality type D, level of perceived stress, insomnia, and depression among high school teachers in Poland. Front Psychol. 2021;12:626945.
Article PubMed PubMed Central Google Scholar
Chotpitayasunondh V, Douglas KM. How phubbing becomes the norm: the antecedents and consequences of snubbing via smartphone. Comput Hum Behav. 2016;63:9.
Sahin S, Ozdemir K, Unsal A, Temiz N. Evaluation of mobile phone addiction level and sleep quality in university students. Pak J Med Sci. 2013;29:913–8.
Article PubMed PubMed Central Google Scholar
Yildirim C, Correia AP. Exploring the dimensions of nomophobia: development and validation of a self reported questionnaire. Comput Hum Behav. 2015;49:130–7.
Bragazzi NL, Del Puente G. A proposal for including nomophobia in the new DSM-V. Psychol Res Behav Manag. 2014; 155–60.
Anshari M, Alas Y, Sulaiman E. Smartphone addictions and nomophobia among youth. Vulnerable Child Youth Stud. 2019;14:242–7.
Çobanoğlu A, Bahadir-Yilmaz E, Kiziltan B. The relationship between nursing students’ digital and smartphone addiction levels and nomophobia: a descriptive, correlational study. Perspect Psychiatr Care. 2021;57:1727–34.
留言 (0)