Nomophobia in the Portuguese population in pandemic context: Comparative study before and during the COVID-19 pandemic

Authors

  • 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

Keywords:

Nomophobia, COVID-19, Use of screens, Digital well-being

Abstract

Background and Aim: Nomophobia (no mobile phone) is defined as a digital era phobia characterized by an excessive fear of not being able to use the cell phone. In the COVID-19 pandemic context, there was an intensification of information and communication technology. The current study aimed to explore differences in nomophobia levels during the COVID-19 pandemic and those evidenced before the pandemic situation. Additionally, we sought to analyze the relationship between nomophobia and variables such as the frequency of use of screens for professional purposes, the use of cell phone management, and to what extent the pandemic made screen use a recurrent practice. We hypothesize that the fact that most of the daily activities took place at home (e.g., teleworking, online classes), there is a global decrease of nomophobia levels. Methods: Cross-sectional study. The sample comprised 288 participants from the general population in a pandemic situation and 500 participants who took part in a survey conducted before the pandemic. All participants completed online the European Portuguese version of the Nomophobia Questionnaire. Results: The nomophobia levels observed during the pandemic situation were lower compared to the pre-pandemic period. There were no statistically significant differences in nomophobia levels by sex, marital status, or recurrent use of the screen. Nomophobia was not associated with age, use of screens for professional purposes, or mobile phone management. Conclusions: Given that most activities occurred at home (e.g., teleworking, online classes), the nomophobia levels during the Covid-19 pandemic were lower. This seems to be related to the global decrease of the fear of not being able to communicate through the smartphone, losing connectivity, not being able to access information and the fear of not having a Wi-Fi signal or running out of battery.

Downloads

Download data is not yet available.

References

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

Published

2022-03-04

How to Cite

Massano-Cardoso, I. M., Figueiredo, S., & Galhardo, A. (2022). Nomophobia in the Portuguese population in pandemic context: Comparative study before and during the COVID-19 pandemic. Portuguese Journal of Behavioral and Social Research, 8(1), 1–13. https://doi.org/10.31211/rpics.2022.8.1.239

Issue

Section

Original Paper

Most read articles by the same author(s)

<< < 1 2 3 > >>