Nomofobia na população portuguesa em contexto pandémico: estudo comparativo antes e durante a pandemia COVID-19

Autores

  • Ilda Maria Massano-Cardoso Instituto Superior Miguel Torga, Coimbra; Faculdade de Medicina da Universidade de Coimbra; Centro de Estudos e Investigação em Saúde da Universidade de Coimbra (CEISUC) http://orcid.org/0000-0003-2510-2348
  • Sofia Figueiredo Instituto Superior Miguel Torga, Coimbra https://orcid.org/0000-0001-6054-5115
  • Ana Galhardo Instituto Superior Miguel Torga, Coimbra; Universidade de Coimbra, Centro de Investigação em Neuropsicologia e Intervenção Cognitiva e Comportamental (CINEICC) https://orcid.org/0000-0002-3484-6683

DOI:

https://doi.org/10.31211/rpics.2022.8.1.239

Palavras-chave:

Nomofobia, COVID-19, Uso de ecrãs, Bem-estar digital

Resumo

Contexto e Objetivo: A nomofobia (no mobile phone) é definida como uma fobia da era digital que se traduz num medo excessivo de ficar impedido de usar o telemóvel. No contexto da pandemia COVID-19, observou-se a intensificação do uso das tecnologias de informação e comunicação. Este estudo pretendeu explorar a existência de diferenças nos níveis de nomofobia experienciados durante a pandemia, comparando-os com os evidenciados antes da pandemia. Adicionalmente, procurou-se analisar a relação entre a nomofobia e variáveis como a frequência do uso dos ecrãs na atividade profissional, o recurso ao gerenciador do telemóvel e em que medida a pandemia tornou o uso do ecrã uma prática recorrente. Hipotetiza-se que, em virtude da maioria das atividades ocorrer no domicílio (teletrabalho, aulas online), se observe uma diminuição global da nomofobia. Métodos: Estudo de desenho transversal. Participaram 288 indivíduos da população geral em situação de pandemia e 500 indivíduos de uma amostra recolhida previamente à pandemia. Todos os participantes preencheram online o European Portuguese Version of the Nomophobia Questionnaire. Resultados: Os níveis de nomofobia observados durante a pandemia foram mais reduzidos comparativamente aos do período pré-pandemia. Não se observaram diferenças estatisticamente significativas nos níveis de nomofobia em função do sexo, estado civil ou prática recorrente do uso do ecrã. A nomofobia não se mostrou associada à idade, uso dos ecrãs para efeitos profissionais ou recurso ao gerenciador do telemóvel. Conclusões: Em virtude da maioria das atividades ocorrerem em casa (teletrabalho, aulas online), os níveis de nomofobia observados em situação de pandemia foram mais reduzidos. Estes parecem estar relacionados com a diminuição global do medo de não poder comunicar através do telemóvel, perder conectividade, não poder aceder à informação e recear não ter sinal Wi-Fi ou ficar sem bateria.

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Referências

Abeele, M. M. P. V. (2020). Digital wellbeing as a dynamic construct. Communication Theory, 31(4), 932–955. https://doi.org/gk88n7

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5ª ed.). https://doi.org/brfw

ANACOM – Autoridade Nacional de Comunicações. (2021). Serviço de acesso à Internet em local fixo: 1º trimestre 2021. https://bit.ly/3HH3yAJ

Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/gdkzx9

Blake, H., Mahmood, I., Dushi, G., Yildirim, M., & Gay, E. (2021). Psychological impacts of COVID-19 on healthcare trainees and perceptions towards a digital wellbeing support package. International Journal of Environmental Research and Public Health, 18(20), Artigo 10647. https://doi.org/hggw

Büchi, M. (2021). Digital well-being theory and research. New Media & Society, 1–18. https://doi.org/gnj8cz

Canavilhas, J. (2021). Epistemology of mobile journalism. A review. El Profesional de La Información, 30(1), 30–32. https://doi.org/gjghqj

Choi, J., & Lee, J. K. (2015). Investigating the effects of news sharing and political interest on social media network heterogeneity. Computers in Human Behavior, 44, 258–266. https://doi.org/f6zwkc

Choi, S. W., Kim, D. J., Choi, J. S., Ahn, H., Choi, E. J., Song, W.Y., Kim, S., & Youn, H. (2015). Comparison of risk and protective factors associated with smartphone addiction and internet addiction. Journal of Behavioral Addictions, 4(4), 308–314. https://doi.org/f84kn8

Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98–101. https://doi.org/cxqf2s

Dalbudak, E., Evren, C., Aldemir, S., & Evren, B. (2014). The severity of Internet addiction risk and its relationship with the severity of borderline personality features, childhood traumas, dissociative experiences, depression and anxiety symptoms among Turkish university students. Psychiatry Research, 219(3), 577–582. https://doi.org/gf99t9

Dancey, C. P., & Reidy, J. (2017). Statistics without maths for psychology (7ª ed.). Pearson Education.

David, M. E., & Roberts, J. A. (2021). Smartphone use during the COVID-19 pandemic: Social versus physical distancing. International Journal of Environmental Research and Public Health, 18(3), Artigo 1034. https://doi.org/gkgjv6

Dixit, S., Shukla, H., Bhagwat, A. K., Bindal, A., Goyal, A., Zaidi, A. K., & Shrivastava, A. (2010). A study to evaluate mobile phone dependence among students of a medical college and associated hospital of central India. Indian Journal of Community Medicine, 35(2), 339–341. https://doi.org/bn9gsh

Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/f9dqnw

Elhai, J. D., Yang, H., Mckay, D., & Asmundson, G. J. G. (2020). COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. Journal of Affective Disorders, 274, 576–582. https://doi.org/ghmm6g

Floros, G., Siomos, K., Stogiannidou, A., Giouzepas, I., & Garyfallos, G. (2014). The relationship between personality, defense styles, internet addiction disorder, and psychopathology in college students. Cyberpsychology, Behavior, and Social Networking, 17(10), 672–676. https://doi.org/gnxwrq

Forgays, D. K., Hyman, I., & Schreiber, J. (2014). Texting everywhere for everything: Gender and age differences in cell phone etiquette and use. Computers in Human Behavior, 31, 314–321. https://doi.org/f5t6s9

Galhardo, A., Loureiro, D., Raimundo, E., Massano-Cardoso, I., & Cunha, M. (2020). Assessing nomophobia: Validation study of the European Portuguese version of the nomophobia questionnaire. Community Mental Health Journal, 56(8), 1521–1530. https://doi.org/gkgg4g

González-Cabrera, J., Leon-Mejía, A., Pérez-Sancho, C., & Calvete, E. (2017). Adaptation of the Nomophobia Questionnaire (NMP-Q) to Spanish in a sample of adolescents. Actas Españolas de Psiquiatría, 45(4), 137–144. https://bit.ly/3rSHxd7

Gui, M., Fasoli, M., & Carradore, R. (2017). “Digital Well-Being”. Developing a new theoretical tool for media literacy research. Italian Journal of Sociology of Education, 9(1), 155–173. https://doi.org/ggh7z6

Gurbuz, I. B., & Ozkan, G. (2020). What is your level of nomophobia? An investigation of prevalence and level of nomophobia among young people in turkey. Community Mental Health Journal, 56(5), 814–822. https://doi.org/ft5g

Han, S., Kim, K. J., & Kim, J. H. (2017). Understanding nomophobia: Structural equation modeling and semantic network analysis of smartphone separation anxiety. Cyberpsychology, Behavior, and Social Networking, 20(7), 419–427. https://doi.org/ghq3qm

Ho, R. C., Zhang, M. W., Tsang, T. Y., Toh, A. H., Pan, F., Lu, Y., Cheng, C., Yip, P. S., Lam, L. T., Lai, C. M., Watanabe, H., & Mak, K. K. (2014). The association between internet addiction and psychiatric co-morbidity: A meta-analysis. BMC Psychiatry, 14, Artigo 183. https://doi.org/f58zb5

Islam, M. A., & Hossin, M. Z. (2016). Prevalence and risk factors of problematic internet use and the associated psychological distress among graduate students of Bangladesh. Asian Journal of Gambling Issues and Public Health, 6(1), Artigo 11. https://doi.org/gbvsnr

Islam, M. S., Sujan, M. S. H., Tasnim, R., Ferdous, M. Z., Masud, J. H. B., Kundu, S., Mosaddek, A. S. M., Choudhuri, M. S. K., Kircaburun, K., & Griffiths, M. D. (2020). Problematic internet use among young and adult population in Bangladesh: Correlates with lifestyle and online activities during the COVID-19 pandemic. Addictive Behaviors Reports, 12, Artigo 100311. https://doi.org/gk543b

King, A. L. S., Valença, A. M., Silva, A. C., Sancassiani, F., Machado, S., & Nardi, A. E. (2014). “Nomophobia”: Impact of cell phone use interfering with symptoms and emotions of individuals with panic disorder compared with a control group. Clinical Practice & Epidemiology in Mental Health, 10(1) 28–35. https://doi.org/hgmc

Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., Griffiths, M. D., Gjoneska, B., Billieux, J., Brand, M., Abbott, M. W., Chamberlain, S. R., Corazza, O., Burkauskas, J., Sales, C. M., Montag, C., Lochner, C., Grünblatt, E., Wegmann, E., … Demetrovics, Z. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 100, 152–180. https://doi.org/ggzk5k

Ma, J., & Liu, C. (2018). Evaluation of the factor structure of the Chinese version of the nomophobia questionnaire. Current Psychology, 40(3), 1367–1373. https://doi.org/gkgh84

Moreno-Guerrero, A. J., Aznar-Díaz, I., Cáceres-Reche, P., & Rodríguez-García, A. M. (2020). Do age, gender and poor diet influence the higher prevalence of nomophobia among young people? International Journal of Environmental Research and Public Health, 17(10), Artigo 3697. https://doi.org/gkgjg6

Nascimento, J. (2019). Indústria cultural e o consumismo em massa. Administradores.com. https://bit.ly/33eVus4

Ohme, J., Abeele, M. M. P. V., Van Gaeveren, K., Durnez, W., & De Marez, L. (2020). Staying informed and bridging “social distance”: Smartphone news use and mobile messaging behaviors of Flemish adults during the first weeks of the COVID-19 pandemic. Socius: Sociological Research for a Dynamic World, 6. https://doi.org/gkhcqd

Pallant J. (2011). SPSS survival manual: A step by step guide to data analysis with SPSS (4th ed). Allen & Unwin.

Ramsawh, H. J., Chavira, D. A., & Stein, M. B. (2010). Burden of anxiety disorders in pediatric medical settings: prevalence, phenomenology, and a research agenda. Archives of Pediatrics & Adolescent Medicine, 164(10), 965–972. https://doi.org/c2dx39

Roffarello, A., & Russis, L. (2019). The race towards digital wellbeing. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 386, 1–14. https://doi.org/ghghsn

Sapacz, M., Rockman, G., & Clark, J. (2016). Are we addicted to our cell phones? Computers in Human Behavior, 57, 153–159. https://doi.org/f8bkrw

van Velthoven, M. H., Powell, J., & Powell, G. (2018). Problematic smartphone use: Digital approaches to an emerging public health problem. DIGITAL HEALTH, 4. https://doi.org/hgk8

Vanden Abeele, M. M. P. (2020). Digital wellbeing as a dynamic construct. Communication Theory, 31(4), 932–955. https://doi.org/gk88n7

Wang, Z., Whiteside, S., Sim, L., Farah, W., Morrow, A. S., Alsawas, M., Barrionuevo, P., Tello, M., Asi, N., Beuschel, B., Daraz, L., Almasri, J., Zaiem, F., Larrea-Mantilla, L., Ponce, O. J., LeBlanc, A., Prokop, L. J., & Murad, M. H. (2017). Comparative effectiveness and safety of Cognitive Behavioral Therapy and pharmacotherapy for childhood anxiety disorders: A systematic review and meta-analysis. JAMA Pediatrics, 171(11), 1049–1056. https://doi.org/dvmz

Wang, G., & Suh, A. (2018). Disorder or driver? Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1(50), 1–12. https://doi.org/gk8kt2

Widdicks, K. (2020). When the good turns ugly: Speculating next steps for digital wellbeing tools. NordiCHI '20:

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, 2, Artigo 89, 1–6. https://doi.org/ hgk7

World Health Organization. (2019). ICD-11 for mortality and morbidity statistics. https://bit.ly/3GEB5u5

Yildirim, C., & Correia, A.P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137. https://doi.org/f7fhz2

Yildirim, C., Sumuer, E., Adnan, M., & Yildirim, S. (2016). A growing fear. Information Development, 32(5), 1322–1331. https://doi.org/f873qm

Yu, S., & Sussman, S. (2020). Does smartphone addiction fall on a continuum of addictive behaviors? International Journal of Environmental Research and Public Health, 17(2), Artigo 422. https://doi.org/gkgjj2

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Publicado

04-03-2022

Como Citar

Massano-Cardoso, I. M., Figueiredo, S., & Galhardo, A. (2022). Nomofobia na população portuguesa em contexto pandémico: estudo comparativo antes e durante a pandemia COVID-19. Revista Portuguesa De Investigação Comportamental E Social, 8(1), 1–13. https://doi.org/10.31211/rpics.2022.8.1.239

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