Phubbing, Family Atmosphere and Self-Esteem in Peruvian Teenagers in the Context of Social Isolation
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Abstract
Social interaction is a key point in the development of human beings. The smartphones, internet or other technological sources, for instance, is changing the way teenagers interact with their peers and families. This is why, in the context of social isolation due to Covid-19, is important to know the relationship between phubbing, family atmosphere and self-esteem in teenagers. The research had a quantitative approach, correlational scope, cross-sectional non-experimental design, and a sample of 332 teenagers from Lima, Peru. It was found that phubbing relates negatively to teenager’s self-esteem (-.47) and family atmosphere (-.48). It was also evident a positive correlation between self-esteem and family atmosphere (.51). Furthermore, there was not found significative differences regarding gender, age, kind of school or study modality. Phubbing and self-esteem show diverse results according to the teenager's family constitution. Finally, the number of hours that the teenager devotes to the use of mobile phone relates negatively to self-esteem and family atmosphere, but positively to phubbing. In light of the above and as a conclusion, everything suggests that the behaviors associated with phubbing relate negatively to family atmosphere and also to teenagers' self-esteem; which turns phubbing into a dangerous issue to teenagers' development.
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References
Aagaard, J. (2019). Digital akrasia: a qualitative study of phubbing. AI & Society, 35, 237–244. https://doi.org/10.1007/s00146-019-00876-0
Google Scholar CrossrefAng, C., Teo, K., Ong, Y., & Siak, S. (2019). Investigation of a preliminary mixed method of phubbing and social connectedness in adolescents. Addiction & Health, 11(1), 1–10. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612240/
Google Scholar CrossrefAtienza, F., Moreno, Y., & Balaguer, I. (2000). Análisis de la dimensionalidad de la Escala de Autoestima de Rosenberg en una muestra de adolescentes valencianos. Revista de Psicología. Universitas Tarraconensis, 23(2), 29-42.
Google Scholar CrossrefBai, Q., Lei, L., Hsueh, F., Yu, X., Hu, H., Wang, X., & Wang, P. (2020). Parent-adolescent congruence in phubbing and adolescents' depressive symptoms: A moderated polynomial regression with response surface analyses. Journal of Affective Disorders, 275, 127–135. https://doi.org/10.1016/j.jad.2020.03.156
Google Scholar CrossrefBlanca, M. & Bendayan, R. (2018). Spanish version of the Phubbing Scale: Internet addiction, Facebook intrusion, and fear of missing out as correlates. Psicothema, 30(4), 449–454. https://doi.org/10.7334/psicothema2018.153
Google Scholar CrossrefBhardwaj, M., & Ashok S. (2015). Mobile phone addiction and loneliness among teenagers. The International Journal of Indian Psychology, 2(3), 27–34. https://doi.org/10.25215/0203.062
Google Scholar CrossrefCarlos, E., Valdés, A., & Reyes, C. (2014). Desarrollo de un modelo empíricamente sustentable para medir el clima familiar. (pp. 519-525) En S. Rivera, R. Díaz, I. Reyes, & M. Flores (Eds.), La Psicología Social en México XV. AMEPSO
Google Scholar CrossrefCénat, J., Hébert, M., Blais, M., Lavoie, F., Guerrier, M., & Derivois, D. (2014). Cyberbullying, psychological distress and self-esteem among youth in Quebec schools. Journal of Affective Disorders, 169, 7-9. https://doi.org/10.1016/j.jad.2014.07.019
Google Scholar CrossrefChotpitayasunondh, V., & Douglas, K. (2018). The effects of “phubbing” on social interaction. Journal of Applied Social Psychology, 48(6), 304–316. https://doi.org/10.1111/jasp.12506
Google Scholar CrossrefChua, T., & Chang, L. (2016). Follow me and like my beautiful selfes: Singapore teenage girls’ engagement in self-presentation and peer comparison on social media. Computers in Human Behavior, 55, 190–197. https://doi.org/10.1016/j.chb.2015.09.011
Google Scholar CrossrefDavey, S., Davey, A., Raghav, S., Singh, J., Singh, N., Blachnio, A., & Przepiórkaa, A. (2018). Predictors and consequences of "Phubbing" among adolescents and youth in India: An impact evaluation study. Journal of Family & Community Medicine, 25(1), 35–42. https://pubmed.ncbi.nlm.nih.gov/29386960/
Google Scholar CrossrefDavey, A., Nasser, K., & Davey, S. (2020). Gender differential for smart phone addiction and its predictors among adolescents: Assessing relationship with self control via sem approach. Journal of Indian Association for Child & Adolescent Mental Health, 16(3), 80–101. https://jiacam.org/ojs/index.php/JIACAM/article/view/503/326
Google Scholar CrossrefDennen, V., Choi, H., & Word, K. (2020). Social media, teenagers, and the school context: a scoping review of research in education and related fields. Educational Technology Research and Development, 68(4), 1635-1658. https://doi.org/10.1007/s11423-020-09796-z
Google Scholar CrossrefDwyer, R., Kushlev, K., & Dunn, E. (2018). Smartphone use undermines enjoyment of face-to-face social interactions. Journal of Experimental Social Psychology, 78, 233–239. https://doi.org/10.1016/j.jesp.2017.10.007
Google Scholar CrossrefDyson, M., Hartling, L., Shulhan, J., Chisholm, A., Milne, A., Sundar, P., Scott, S., & Newton, A. (2016). A systematic review of social media use to discuss and view deliberate self-harm acts. PLOS ONE, 11(5). https://doi.org/10.1371/journal.pone.0155813
Google Scholar CrossrefGuo, N., Wang, M., Luk, T., Ho, S., Fong, D., Chan, S., & Lam. (2019). The association of problematic smartphone use with family well-being mediated by family communication in Chinese adults: A population-based study. Journal of Behavioral Addictions, 8(3), 412–419. https://doi.org/10.1556/2006.8.2019.39
Google Scholar CrossrefHañari, J., Masco, M., & Esteves, A. (2020). Comunicación familiar y autoestima en adolescentes de zona urbana y rural. Revista Innova Educación, 2(3), 446-455. https://doi.org/10.35622/j.rie.2020.03.005
Google Scholar CrossrefHawi, N., & Samaha, M. (2017). Relationships among smartphone addiction, anxiety, and family relations. Behaviour & Information Technology, 36(10), 1046–1052. https://doi.org/10.1080/0144929X.2017.1336254
Google Scholar CrossrefHernández-Sampieri, R. & Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. Editorial Mc Graw Hill Education
Google Scholar CrossrefHo, H., Mui, M., Wan, A., Yew, C., Lam, T., Chan, S., & Stewart S. (2018). Family meal practices and well-being in Hong Kong: The mediating effect of family communication. Journal of Family Issues, 39(16), 3835-3856. https://doi.org/10.1177/0192513X18800787
Google Scholar CrossrefKaradağ, E., Tosuntaş, Ş., Erzen, E., Duru, P., Bostan, N., Şahin, B., Çulha, I., & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of Behavioral Addictions, 4(2), 60–74. https://doi.org/10.1556/2006.4.2015.005
Google Scholar CrossrefKline, R. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling (4 ed.). The Guilford Press
Google Scholar CrossrefLi, W., Garland, E., & Howard, M. (2014). Family factors in Internet addiction among Chinese youth: A review of English- and Chinese-language studies. Computers in Human Behavior, 31, 393–411. https://doi.org/10.1016/j.chb.2013.11.004
Google Scholar CrossrefMárquez, M., & Gaeta, M. (2017). Desarrollo de competencias emocionales en pre-adolescentes: el papel de padres y docentes. Revista Electrónica Interuniversitaria de Formación del Profesorado, 20(2), 221-235. https://doi.org/10.6018/reifop/20.2.232941
Google Scholar CrossrefMedina, P., Álvarez, A., & Hernández, V. (2017). Comunicación entre padres e hijos adolescentes. Jovenes en la Ciencia, 3(2), 432-437. http://148.214.50.9/index.php/jovenesenlaciencia/article/view/1751/1254
Google Scholar CrossrefMoos, R., Moos, B. & Trickett, E. (1984). FES, WES, CIES, CES. Escalas de Clima Social. TEA.
Google Scholar CrossrefMullan, K., & Chatzitheochari S. (2019). Changing times together? A time-diary analysis of family time in the digital age in the United Kingdom: Family time in the digital age in the United Kingdom. Journal of Marriage and Family, 84(4), 795–811. https://doi.org/10.1111/jomf.12564
Google Scholar CrossrefNazir, T., & Pişkin, M. (2016). Phubbing: A Technological Invasion Which Connected the World But Disconnected Humans. The International Journal of Indian Psychology, 3(4), 175-182. https://www.academia.edu/29348316/Phubbing_A_Technological_Invasion_Which_Connected_the_World_But_Disconnected_Humans
Google Scholar CrossrefParmaksiz, I. (2019). Relationship of phubbing, a behavioral problem, with assertiveness and passiveness: A study on adolescents. International Online Journal of Educational Sciences, 11(3), 34-45. https://doi.org/10.15345/iojes.2019.03.003
Google Scholar CrossrefPullen, D., & Swabey, K. (2014). Adolescent use of mobile phones: A social context. Australian Educational Computing, 29(1). http://journal.acce.edu.au/index.php/AEC/article/view/31
Google Scholar CrossrefRaimundi, M., Molina, M., Leibovich, N., & Schmidt, V. (2017). La comunicación entre padres e hijos: su influencia sobre el disfrute y el flow adolescente. Revista de Psicología, 26(2), 1-14.
Google Scholar CrossrefShen C., Wang M., Chu J., Wan A., Viswanath K., Chan S., & Lam T. (2017). Sharing family life information through video calls and other information and communication technologies and the association with family well-being: Population-based survey. JMIR Mental Health, 4(4). https://doi.org/10.2196/mental.8139
Google Scholar CrossrefT'ng, S., Ho, K., & Low, S. (2018). Are you “phubbing” me? The Determinants of Phubbing Behavior and Assessment of Measurement Invariance across Sex Differences. International and Multidisciplinary Journal of Social Sciences, 7(2), 159-190. http://dx.doi.org/10.17583/rimcis.2018.3318
Google Scholar CrossrefThompson, R., Berriman, L., & Bragg, S. (2018). Researching everyday childhoods: Time, technology and documentation in a digital age. Bloomsbury.
Google Scholar CrossrefTomczyk, L., & Selmanagic-Lizde, E. (2018). Fear of missing out (FOMO) among youth in Bosnia and Herzegovina—Scale and selected mechanisms. Children and Youth Services Review, 88, 541–549. https://doi.org/10.1016/j.childyouth.2018.03.048
Google Scholar CrossrefTwenge, J., Joiner, T., Rogers, M., & Martin, G. (2017). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376
Google Scholar CrossrefVanden, M., Antheunis, M., & Schouten, A. (2016). The effect of mobile messaging during a conversation on impression formation and interaction quality. Computers in Human Behavior, 62, 562–569. https://doi.org/10.1016/j.chb.2016.04.005
Google Scholar CrossrefXie, X., Dong, Y., & Wang, J. (2018). Sleep quality as a mediator of problematic smartphone use and clinical health symptoms. Journal of Behavioral Addictions, 7(2), 466–472. https://doi.org/10.1556/2006.7.2018.40
Google Scholar CrossrefXie, X., Tang, X., Rapp, H., Tong, D., & Wang, P. (2020). Does forgiveness alleviate depression after being phubbed for emerging adults? The mediating role of self-esteem. Computers in Human Behavior, 109. https://doi.org/10.1016/j.chb.2020.106362
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