Alexandrina-Mihaela Popescu1
Raluca-Ștefania Balica2*Emil Lazăr1
Valentin Oprea Bușu1
Janina-Elena Vașcu3- 1Department of Teaching Staff Training, University of Craiova, Craiova, Romania
- 2Department of Education and Communication Sciences, University of Craiova, Craiova, Romania
- 3Department of Education Sciences, University of Bucharest, Bucharest, Romania
COVID-19 pandemic-related perceived risk of infection, illness fears, acute stress, emotional anxiety, exhaustion, and fatigue, psychological trauma and depressive symptoms, and sustained psychological distress can cause smartphone addiction risk and lead to technology-related cognitive, emotional, and behavioral disorders, thus impacting psychological well-being. Behavioral addiction of smartphone users can result in anxiety symptom severity, psychiatric symptoms, and depressive stress. We carried out a quantitative literature review of the Web of Science, Scopus, and ProQuest throughout June 2022, with search terms including “smartphone addiction + COVID-19” + “stress,” “anxiety,” “depression,” “psychological distress,” “screen time,” and “fear.” As we analyzed only articles published between 2020 and 2022, 288 papers met the eligibility criteria. By excluding sources with similar titles, having unclear findings or unsupported by replication, or displaying inconsistent content, we selected 64, mainly empirical, sources. We used layout algorithms (VOSviewer) and bibliometric mapping (Dimensions) as data visualization tools. Assessing the Methodological Quality of Systematic Reviews (AMSTAR), a systematic review and literature review software (Distiller SR), Mixed Methods Appraisal Tool (MMAT), and Systematic Review Data Repository (SRDR) were employed as methodological quality assessment tools. As limitations, we analyzed only articles published between 2020 and 2022 in scholarly outlets indexed in the Web of Science, Scopus, and ProQuest databases. The scope of our study also does not advance the inspection of sources covering vulnerable individuals suffering from certain diseases or specific generations. Subsequent analyses should develop on smartphone use and addiction among children and adolescents. Future research should thus investigate problematic smartphone use and addiction across generations Z and Alpha. Attention should be directed to their personality traits and psychopathological symptoms.
Introduction
The addictive relationship with technological devices (Masaeli and Farhadi, 2021; Serra et al., 2021; Chopdar et al., 2022; Hu et al., 2022; de Freitas et al., 2022a; Zhao et al., 2022a) has been intensified by the consequences of the COVID-19 outbreak. By impacting health and well-being, the COVID-19 crisis has contributed to smartphone addiction. Significant detrimental psychological and behavioral consequences due to the COVID-19 pandemic associated with infection control measures result in spending more time at home and thus increasingly using technological devices (Green, 2020; Wallace and Lăzăroiu, 2021; Lăzăroiu et al., 2021a,b; Blake, 2022) that also configure psychological and social support. Smartphone use disorder is associated with isolation and mental health issues. COVID-19 phobia and news exposure impact problematic smartphone use (PSU) and pessimism, shaping mobile shopping frequency. Smartphone addiction risk is reduced with the COVID-19 pandemic under control.
Excessive social media and PSU during COVID-19 home quarantines (Hallauer et al., 2021; Hu et al., 2021; Köse and Murat, 2021; Saiful et al., 2021; Zhang et al., 2021) are associated with having urban residence, watching television, irregular physical exercise, and poor sleep and psychological well-being. Functional impairment is associated with behavioral addictions such as PSU that mediates the link between COVID-19-related exposure and post-traumatic stress disorder (PTSD) symptoms. Smartphone overuse by constantly checking such technological devices (Johnson and Nica, 2021; Platt, 2021; Kliestik et al., 2022b) is associated with increased cyberchondria level. PSU is considerably related to sleep disturbance and physical and mental fatigue, increasing negative health behaviors.
Methodology
We carried out a quantitative literature review of the Web of Science, Scopus, and ProQuest databases throughout June 2022, with search terms including “smartphone addiction + COVID-19” + “stress,” “anxiety,” “depression,” “psychological distress,” “screen time,” and “fear,” that is the most employed words/phrases throughout the inspected literature. As we analyzed only articles published between 2020 and 2022, 288 papers met the eligibility criteria. By excluding sources with similar titles, having unclear findings or unsupported by replication, or displaying inconsistent content, we selected 64, mainly empirical, sources (Table 1). We used layout algorithms (VOSviewer) and bibliometric mapping (Dimensions) as data visualization tools (Figure 1; covering co-authorship). Assessing the Methodological Quality of Systematic Reviews (AMSTAR), a systematic review and literature review software (Distiller SR), Mixed Methods Appraisal Tool (MMAT), and Systematic Review Data Repository (SRDR) were employed as methodological quality assessment tools. No institutional ethics approval was needed, as we analyzed only publicly accessible documents.
Table 1. Topics and types of scientific products identified and selected.
Figure 1. Co-authorship covering the topic.
Stress, anxiety, and depression associated with smartphone overuse
Internet-based addictive behaviors have intensified throughout the COVID-19 lockdowns (Drouin et al., 2020; Huixi et al., 2020; Liu et al., 2021; Masaeli and Farhadi, 2021; Nan and Guangyu, 2021; Lai et al., 2022; Ma et al., 2022; Peng et al., 2022; de Freitas et al., 2022b), leading to stress, anxiety, and depression. Smartphone addiction is related to stress and to unsatisfactory sleep patterns. Coping style, stress, anxiety, and depression can mediate the link between resilience and smartphone addiction. COVID-19 stress is an essential determinant of addictive social media use—relationship serially mediated by excessive smartphone use and online connectivity. Users who undergo increased COVID-19 stress are at high risk of addictive social media use that can be furthered by active access and flow experience. Frequency and duration of smartphone use are correlated with stress, anxiety, and depression, in addition to female gender and age. Psychological vulnerabilities and detrimental behavioral actions associated with social distancing increase technology use (Balica, 2021; Lăzăroiu and Harrison, 2021; Nemțeanu et al., 2021; Hopkins, 2022) in terms of COVID-19 information seeking and lead to stress and anxiety. Rumination mediates, and self-control moderates, the link between perceived stress and smartphone addiction. Perceived stress is positively related to nomophobia, while social support to some extent mediates the link between perceived stress and nomophobia. Stress can be moderated by social support in persons having increased levels of nomophobia.
Smartphone addiction has been heightened by the COVID-19 crisis, affecting physical and mental health (Elhai et al., 2020; Haddad et al., 2021; Hallauer et al., 2021; Yan, 2021; Zhan et al., 2021; Li et al., 2021a; Güldal et al., 2022; Song et al., 2022; Liu et al., 2022a), and resulting in clinical anxiety symptoms. COVID-19 anxiety is related to PSU severity, e.g., through excessive news exposure, and mediates the link between general anxiety and PSU severity. Anxiety sensitivity mediates links between anxiety and PSU severity. Anxiety generated by COVID-19 home confinement is related to PSU and sleep disturbance. Neuroticism impacts smart addiction by online social anxiety, while extraversion influences PSU through cyber danger belief. Anxiety, depression, smartphone use in bed, and alcohol consumption are associated with smartphone addiction. PSU is associated with poor mental health outcomes (e.g., anxiety and depression), but cognitive reappraisal and optimism can improve psychological well-being. Psychological flexibility is influenced by COVID-19 anxiety, smartphone addiction, and humor coping. Problematic social media usage predicts the level of anxiety.
Problematic and excessive use of technological devices (Birtus and Lăzăroiu, 2021; Campbell and Popescu, 2021; Cohen and Nica, 2021) during COVID-19-related confinement orders has adversely influenced behavioral health (Duan et al., 2020; Hosen et al., 2021; Jahan et al., 2021; Jin et al., 2021; Yang et al., 2021; Karaoglan Yilmaz et al., 2022; Zhang et al., 2022), leading to anxiety, depression, and smartphone addiction associated with severe Internet dependency. Loneliness associated with COVID-19 lockdowns shapes psychological and social issues such as aggression behaviors and PSU. Social loneliness is positively related to depressive symptoms. Boredom and emotional loneliness are positively related to both smartphone addiction and depressive symptoms. COVID-19 quarantine and lockdown are not considerably associated with smartphone addiction or depressive symptoms. Smartphone addiction issues are related to anxiety, depressive, and insomnia symptoms. Performing almost no physical activity and increased social media-based online engagement impact behavioral health and lead to PSU, in addition to anxiety and depression. Smartphone addiction, living in urban areas, emotional distress, clinical depressive symptoms, lockdown and social distancing measures, and having loved ones infected with COVID-19 are related to elevated anxiety levels. Smartphone addiction, separation anxiety levels, prior mental health issues, and emotion-focused coping style are related to depressive symptoms. Depression and anxiety symptoms predict PSU, while perceived social support and resilience constitute protective factors.
Smartphone addiction and psychological distress
Incidence of COVID-19 infection, public health campaigning, and preventive measures (Kufel, 2020; Brailovskaia et al., 2021; Elhai et al., 2021; Fernandes et al., 2021; Ting and Essau, 2021; Waliszewski and Warchlewska, 2021; Zhen et al., 2021; Li et al., 2021b; Altamih and Elmahi, 2022; Liang et al., 2022; Sarıalioğlu et al., 2022; Zhao et al., 2022b) are associated with psychological distress. Psychological distress and COVID-19 anxiety are related to significant social media use due to home confinement, in addition to addictive behaviors associated with food and online gaming. Low confidence, psychological distress, and loneliness predict PSU, impacting emotional well-being during COVID-19 lockdown restrictions. Socially isolated individuals are likely to be companionless and consequently use their technological devices to fulfill their relationship needs, increasing their smartphone addiction risk. Social isolation has a positive indirect impact on smartphone addiction via loneliness. Smartphone addiction increases with the growing level of loneliness. Escape motivation mediates the link between loneliness and PSU, whereas self-control moderates the link between escape motivation and PSU: as self-control intensifies, escape motivation is improbable to induce PSU (loneliness and escape motivation may increase the risk of PSU). PSU severity is negatively related to sense of control and positively associated with fear of missing out (FoMO), repetitive negative thinking (RNT), and daily time spent on technological devices. The adverse link between sense of control and PSU severity is mediated by FoMO. RNT moderates the positive link between FoMO and PSU severity: the more increased the RNT, the more powerful is the relationship between FoMO and PSU. FoMO and boredom proneness mediate the link between psychological distress and PSU, shaping COVID-19-related mental health and behavior. FoMO mediates links between health anxiety and both PSU and gaming disorder severity. The relationship between COVID-19 stressors and PSU is mediated by FoMO. Regulatory emotional self-efficacy moderates the association between FoMO and PSU, and the link between COVID-19 stressors and PSU. COVID-19 stressors are positively related to FoMO and to PSU. FoMO is positively associated with PSU. Regulatory emotional self-efficacy is negatively related to PSU, while decreasing the links between COVID-19 stressors and FoMO on PSU. In individuals having reduced regulatory emotional self-efficacy, FoMO impacts PSU. FoMO has a significant effect on PSU among persons having increased regulatory emotional self-efficacy. The effect of FoMO on PSU is moderated by regulatory emotional self-efficacy. Individuals experiencing an increased level of COVID-19 stressors are likely to engage in PSU. FoMO mediates the link between COVID-19 stressors and PSU. Persons having increased regulatory emotional self-efficacy rarely resort to PSU for psychological satisfaction. The effect of COVID-19 stressors on PSU is more significant for individuals having increased regulatory emotional self-efficacy. If such persons who are under a relevant level of COVID-19 stressors expect too much of their sense of control as regards technological device use or minimize the repercussions of smartphone addiction, regulatory emotional self-efficacy may exacerbate their PSU. With the decrease of negative emotions brought about by COVID-19 stressors, the PSU risk can be diminished.
Excessive screen time and social media overuse
Behavioral addiction of smartphone users (Saadeh et al., 2021; Serra et al., 2021; Chopdar et al., 2022; Hu et al., 2022; de Freitas et al., 2022b) can result in anxiety symptom severity, psychiatric symptoms, and depressive stress. Smartphone addiction risk can configure pathological personality traits related to stress, anxiety, and depression (e.g., compulsive smartphone usage, depression psychopathology, and social anxiety). COVID-19 lockdown impacts mental health (Montag and Elhai, 2020; Chen et al., 2021; Hodes and Thomas, 2021; Werling et al., 2021; Adachi et al., 2022; Sui et al., 2022) through an escalation in screen media use. As the chief reason of screen time increase has been the growing smartphone use, reduced deployment of digital devices have positive consequences on depressive symptoms. Digital technology overuse through spending immoderate time in front of smartphones constitutes a direct result of the COVID-19 crisis. Excessive screen time is typified by incessant digital use without regard to adverse effects (e.g., psychopathological states). Excessive screen time and social media overuse predicts nomophobia and smartphone addiction during the COVID-19 pandemic. Fear of COVID-19 infection can increase psychological distress and screen time use, resulting in problematic social media and smartphone use. COVID-19 lockdown and social distancing have led to digital technology overuse (Lewis, 2021; Nica, 2021; Pera and Cuțitoi, 2021; Nemțeanu et al., 2022) in terms of screen time, consequently impacting mental health. Prolonged screen time negatively affects mental health during the COVID-19 crisis, possibly leading to depressive symptoms. Smartphone attachment mediates the link between screen time and depression.
Fear of COVID-19 and smartphone addiction
Fear of COVID-19 leads to psychological and social problems (De Pasquale et al., 2021; Elhai et al., 2021; Kayis et al., 2021; Mihalca et al., 2021; Montag et al., 2021; Yam et al., 2021; Liu et al., 2022a), having both a direct and indirect impact on mental wellbeing. Fear of COVID-19 is related to decreased mental wellbeing by adversely impacting persons’ emotion and behavior, and impacts mental wellbeing via loneliness and smartphone addiction. A reduction in social interactions due to quarantine measures affects mental health and wellbeing, while fear of COVID-19 can result in increased loneliness associated with smartphone addiction that adversely impacts quality of life. Prior emotional and behavioral issues are intensified by the COVID-19 pandemic, and fear of such a contagious virus may cause the affected persons to interpret risky situations as a source of apprehension wearisome to cope with, thus increasing self-isolation behavior and feelings of loneliness. Smartphone addiction and loneliness can be associated with COVID-19 misinformation, leading to maladaptive feelings and behaviors, while emotional awareness would diminish stress and anxiety. Psychosocial support in relation to excessive smartphone use would improve mental wellbeing and physical health, while easing loneliness and emotional and behavioral disorders. Consequently, fear of COVID-19 can bring about loneliness that can result in smartphone addiction risk, causing decreased mental wellbeing, mood, and sleep quality. Technological addictions through intensive smartphone use have aggravated fear of COVID-19, in addition to social isolation and seeking out health information, causing cyberchondria behaviors. There is a positive link between fear of COVID-19, smartphone addiction, and cyberchondria severity. Cyberchondria severity has both a moderating and a mediating role in the link between fear of COVID-19 and smartphone addiction. Fear and anxiety in relation to COVID-19 are increased by self-isolation and social distancing measures. Social networks use disorder partially mediates the link between fear of COVID-19 and smartphone use disorder. Neuroticism constitutes a risk factor as regards fear of COVID-19, social networks use disorder, and smartphone use disorder. Fear of COVID-19 contagion has caused perceived vulnerability, insomnia, stress, anxiety, depression, and PSU, while home quarantine and social distancing measures have diminished social contacts and networks, leading to poor interaction and unsatisfactory psychophysical well-being. Subhealth and insomnia are adversely related to smartphone addiction.
Discussion
COVID-19 pandemic-related perceived risk of infection, illness fears, acute stress, emotional anxiety, exhaustion, and fatigue, psychological trauma and depressive symptoms, and sustained psychological distress can cause smartphone addiction risk (Montag and Elhai, 2020; Chen et al., 2021; Adachi et al., 2022) and lead to technology-related cognitive, emotional, and behavioral disorders, thus impacting psychological well-being. We integrate our review throughout research indicating that intensified negative emotionality is related to more smartphone addiction (Caponnetto et al., 2021; Hu et al., 2021, 2022; Sfeir et al., 2021; Marengo et al., 2022; de Freitas et al., 2022a; Zhao et al., 2022a), leading to addictive behavior development, whereas increased confidence and household crowding are associated with decreased smartphone addiction during the COVID-19 lockdown periods. Smartphone addiction has brought about impaired social interactions and relationships, with COVID-19 lockdown periods leading to pathological use of technological devices (Barnes, 2021; Nemțeanu and Dabija, 2021; Balica et al., 2022; Zvarikova et al., 2022; Nica et al., 2022a) and thus to developing mental issues. Interpersonal alienation predicts smartphone addiction. Meaning in life shapes interpersonal alienation and smartphone addiction. Refusal self-efficacy moderates the impact of boredom proneness on pathological use of technological devices. Adaptive behavior in relation to smartphones would improve mental health during the COVID-19 pandemic. Instant messaging app and social network excessive use (Mullen and Lythberg, 2021; Blazek et al., 2022; Kliestik et al., 2022a; Nica et al., 2022b) may cause behavioral addictions. COVID-19 lockdowns and maintaining social distance have increased psychological and behavioral issues such as daytime sleepiness, PSU, and PTSD.
Technology-related behaviors and attitudes associated with smartphone addiction risk (Lăzăroiu et al., 2020) can lead to social anxiety symptom severity and depression psychopathology. Smartphone use disorder develops on the behavioral dynamics of depression and anxiety symptoms. Our research complements recent analyses clarifying that smartphone addiction has dramatically worsened (Zhang et al., 2021; Zhao et al., 2021, 2022b; Jiang et al., 2022; Meng et al., 2022; Potas et al., 2022; Xu et al., 2022; Zarco-Alpuente et al., 2022) throughout the COVID-19 outbreak. Smartphone overuse can adversely influence physical and mental health. Causing insomnia, decreased life satisfaction, and increased tobacco and alcohol use, smartphone addiction can lead to severe psychological injuries. Low life satisfaction and insomnia can cause PSU. COVID-19 stressors are positively associated with PSU. Increased online engagement may adversely impact mental and physical health for vulnerable individuals during COVID-19 mandatory self-isolation and lockdown measures, resulting in PSU. Extensive stringent isolation policies enable social distancing but may lead to PSU and intensify smartphone addiction risk, shaping mental health, and physical behavior. Sleep quality mediates the link between PSU and daytime fatigue among quarantined individuals.
Conclusion
Relevant research has investigated whether smartphone usage throughout the COVID-19 home quarantines (Saadeh et al., 2021; Serra et al., 2021; Chopdar et al., 2022; Hu et al., 2022; de Freitas et al., 2022b) has greatly increased. Unfavorable clinical, psychological, and social outcomes generated by smartphone overuse during the COVID-19 pandemic differ according to degrees of addiction. Social influence is pivotal in moderating mobile shopping frequency for persons bearing the brunt of smartphone addiction. Decreased interpersonal alienation levels can enhance meaning in life and decrease smartphone addiction risk throughout public health emergencies. Increased time spent with technological devices has led to problematic lifestyles and less adaptive behavior.
The research outcomes drawn from the analyzed sources indicate that COVID-19-related preventative behaviors (e.g., home quarantine) have intensified affected persons’ reliance on smartphones (Hu et al., 2021; Sfeir et al., 2021; Zhan et al., 2021; Potas et al., 2022; Liu et al., 2022b) by reducing social interactions. Self-esteem mediates the link between negative emotionality and smartphone addiction. Daytime sleepiness mediates the link between COVID-19-related exposure, PSU, and PTSD symptoms. Smartphone use before sleep and unsatisfactory mental health are associated with addiction to technological devices. Assessing awareness, attitudes, and behavior in relation to smartphone addiction is pivotal in users’ physical and psychological well-being.
Limitations, implications, and further directions of research
As limitations, we analyzed only articles published between 2020 and 2022 in scholarly outlets indexed in the Web of Science, Scopus, and ProQuest databases. The scope of our study also does not advance the inspection of sources covering vulnerable individuals suffering from certain diseases or specific generations. Subsequent analyses should develop on smartphone use and addiction among children and adolescents. Future research should thus investigate PSU and addiction across generations Z and Alpha. Attention should be directed to their personality traits and psychopathological symptoms.
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Adachi, M., Takahashi, M., Shinkawa, H., Mori, H., Nishimura, T., and Nakamura, K. (2022). Longitudinal association between smartphone ownership and depression among schoolchildren under COVID-19 pandemic. Soc. Psychiatry Psychiatr. Epidemiol. 57, 239–243. doi: 10.1007/s00127-021-02196-5
Altamih, R., and Elmahi, O. (2022). Mental health status of high school students in Khartoum state, Sudan during the COVID-19 pandemic: a cross-sectional study. BJPsych Open 8, S39–S40. doi: 10.1192/bjo.2022.164
Balica, R.-Ș. (2021). COVID-19 vaccine education: behavioral and socio-demographic factors related to vaccine uptake and hesitancy. Rev. Contemp. Philos. 20, 151–162. doi: 10.22381/RCP20202110
Balica, R.-Ș., Majerová, J., and Cuțitoi, A.-C. (2022). Metaverse applications, technologies, and infrastructure: predictive algorithms, real-time customer data analytics, and virtual navigation tools. Linguist. Philos. Invest. 21, 219–235. doi: 10.22381/lpi21202214
Barnes, R. (2021). The impact of COVID-19-related stress, anxiety, and depression on sexual health. J. Res. Gender Stud. 11, 73–86. doi: 10.22381/JRGS11220215
Birtus, M., and Lăzăroiu, G. (2021). The neurobehavioral economics of the COVID-19 pandemic: consumer cognition, perception, sentiment, choice, and decision-making. Analy. Metaphys. 20, 89–101. doi: 10.22381/am2020216
Blake, R. (2022). Metaverse technologies in the virtual economy: deep learning computer vision algorithms, blockchain-based digital assets, and immersive shared worlds. Smart Gov. 1, 35–48. doi: 10.22381/sg1120223
Blazek, R., Hrosova, L., and Collier, J. (2022). Internet of medical things-based clinical decision support systems, smart healthcare wearable devices, and machine learning algorithms in COVID-19 prevention, screening, detection, diagnosis, and treatment. Am. J. Med. Res. 9, 65–80. doi: 10.22381/ajmr9120225
Brailovskaia, J., Stirnberg, J., Rozgonjuk, D., Margraf, J., and Elhai, J. D. (2021). From low sense of control to problematic smartphone use severity during Covid-19 outbreak: the mediating role of fear of missing out and the moderating role of repetitive negative thinking. PLoS One 16:e0261023. doi: 10.1371/journal.pone.0261023
Campbell, E., and Popescu, G. H. (2021). Psychological distress, moral trauma, and burnout syndrome among COVID-19 frontline medical personnel. Psychosociol. Issues Hum. Resour. Manag. 9, 63–76. doi: 10.22381/pihrm9220215
Caponnetto, P., Inguscio, L., Valeri, S., Maglia, M., Polosa, R., Lai, C., et al. (2021). Smartphone addiction across the lifetime during Italian lockdown for COVID-19. J. Addict. Dis. 39, 441–449. doi: 10.1080/10550887.2021.1889751
Chen, C.-Y., Chen, I., Pakpour, A. H., Lin, C.-Y., and Griffiths, M. D. (2021). Internet-related behaviors and psychological distress among schoolchildren during the COVID-19 school hiatus. Cyberpsychol. Behav. Soc. Netw. 24, 654–663. doi: 10.1089/cyber.2020.0497
Chopdar, P. K., Paul, J., and Prodanova, J. (2022). Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: does social influence matter? Technol. Forecast. Soc. Chang. 174:121249. doi: 10.1016/j.techfore.2021.121249
Cohen, S., and Nica, E. (2021). COVID-19 pandemic-related emotional anxiety, perceived risk of infection, and acute depression among primary care providers. Psychosociol. Issues Hum. Resour. Manag. 9, 7–20. doi: 10.22381/pihrm9220211
de Freitas, B. H. B. M., Gaíva, M. A. M., Diogo, P. M. J., and Bortolini, J. (2022a). Self-reported smartphone addiction among Brazilian adolescents in the COVID-19 pandemic context: a mixed-method study. Trends Psychol. doi: 10.1007/s43076-022-00208-0 [Epub ahead of print].
de Freitas, B. H. B. M., Gaíva, M. A. M., Diogo, P. M. J., and Bortolini, J. (2022b). Relationship between lifestyle and self-reported smartphone addiction in adolescents in the COVID-19 pandemic: a mixed-methods study. J. Pediatr. Nurs. 65, 82–90. doi: 10.1016/j.pedn.2022.03.001
De Pasquale, C., Pistorio, M. L., Sciacca, F., and Hichy, Z. (2021). Relationships between anxiety, perceived vulnerability to disease, and smartphone use during coronavirus disease 2019 pandemic in a sample of Italian college students. Front. Psychol. 12:692503. doi: 10.3389/fpsyg.2021.692503
Drouin, M., McDaniel, B. T., Pater, J., and Toscos, T. (2020). How parents and their children used social media and technology at the beginning of the COVID-19 pandemic and associations with anxiety. Cyberpsychol. Behav. Soc. Netw. 23, 727–736. doi: 10.1089/cyber.2020.0284
Duan, L., Shao, X., Wang, Y., Huang, Y., Miao, J., Yang, X., et al. (2020). An investigation of mental health status of children and adolescents in China during the outbreak of COVID-19. J. Affect. Disord. 275, 112–118. doi: 10.1016/j.jad.2020.06.029
Elhai, J. D., McKay, D., Yang, H., Minaya, C., Montag, C., and Asmundson, G. J. G. (2021). Health anxiety related to problematic smartphone use and gaming disorder severity during COVID-19: fear of missing out as a mediator. Hum. Behav. Emerg. Tech. 3, 137–146. doi: 10.1002/hbe2.227
Elhai, J. D., Yang, H., McKay, D., and Asmundson, G. J. G. (2020). COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. J. Affect. Disord. 274, 576–582. doi: 10.1016/j.jad.2020.05.080
Fernandes, B., Uzun, B., Aydin, C., Tan-Mansukhani, R., Vallejo, A., Saldaña-Gutierrez, A., et al. (2021). Internet use during COVID-19 lockdown among young people in low- and middle-income countries: role of psychological wellbeing. Addict. Behav. Rep. 14:100379. doi: 10.1016/j.abrep.2021.100379
Green, B. (2020). International higher education and global citizenship education: the rise of critical cosmopolitanism’s ‘personhood’ in the age of COVID-19. Knowl. Cult. 8, 55–59. doi: 10.22381/KC8320208
Güldal, Ş., Kılıçoğlu, N., and Kasapoğlu, F. (2022). Psychological flexibility, coronavirus anxiety, humor and social media addiction during COVID-19 pandemic in Turkey. Int. J. Adv. Couns. 44, 220–242. doi: 10.1007/s10447-021-09461-x
Haddad, J. M., Macenski, C., Mosier-Mills, A., Hibara, A., Kester, K., Schneider, M., et al. (2021). The impact of social media on college mental health during the COVID-19 pandemic: a multinational review of the existing literature. Curr. Psychiatry Rep. 23:70. doi: 10.1007/s11920-021-01288-y
Hallauer, C. J., Rooney, E. A., Yang, H., Meng, Q., Montag, C., and Elhai, J. D. (2021). Anxiety sensitivity mediates relations between anxiety (but not depression) and problematic smartphone use severity, adjusting for age and sex, in Chinese adolescents early in the COVID-19 pandemic. Hum. Behav. Emerg. Technol. 3, 788–797. doi: 10.1002/hbe2.319
Hodes, L. N., and Thomas, K. G. F. (2021). Smartphone screen time: inaccuracy of self-reports and influence of psychological and contextual factors. Comput. Hum. Behav. 115:106616. doi: 10.1016/j.chb.2020.106616
Hopkins, E. (2022). Machine learning tools, algorithms, and techniques in retail business operations: consumer perceptions, expectations, and habits. J. Self Gov. Manag. Econ. 10, 43–55. doi: 10.22381/jsme10120223
Hosen, I., Al Mamun, F., Sikder, M. T., Abbasi, A. Z., Zou, L., Guo, T., et al. (2021). Prevalence and associated factors of problematic smartphone use during the COVID-19 pandemic: a Bangladeshi study. Risk Manag. Health Policy 14, 3797–3805. doi: 10.2147/RMHP.S325126
Hu, Q., Liu, Q., and Wang, Z. (2022). Meaning in life as a mediator between interpersonal alienation and smartphone addiction in the context of Covid-19: a three-wave longitudinal study. Comput. Hum. Behav. 127:107058. doi: 10.1016/j.chb.2021.107058
Hu, T., Wang, Y., Lin, L., and Tang, W. (2021). The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents. Child Youth Serv. Rev. 126:106012. doi: 10.1016/j.childyouth.2021.106012
Huixi, D., Fangru, Y., Xiaozi, L., and Wei, H. (2020). Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Front. Psychol. 11:00751. doi: 10.3389/fpsyt.2020.00751
Jahan, I., Hosen, I., Al Mamun, F., Kaggwa, M. M., Griffiths, M. D., and Mamun, M. A. (2021). How has the COVID-19 pandemic impacted internet use behaviors and facilitated problematic internet use? A Bangladeshi study. Psychol. Res. Behav. Manag. 14, 1127–1138. doi: 10.2147/PRBM.S323570
Jiang, W., Luo, J., Guan, H., Jiang, F., and Tang, Y.-L. (2022). Problematic mobile phone use and life satisfaction among university students during the COVID-19 pandemic in Shanghai, China. Front. Public Health 9:805529. doi: 10.3389/fpubh.2021.805529
Jin, L., Hao, Z., Huang, J., Akram, H. R., Saeed, M. F., and Ma, H. (2021). Depression and anxiety symptoms are associated with problematic smartphone use under the COVID-19 epidemic: the mediation models. Child Youth Serv. Rev. 121:105875. doi: 10.1016/j.childyouth.2020.105875
Johnson, E., and Nica, E. (2021). Connected vehicle technologies, autonomous driving perception algorithms, and smart sustainable urban mobility behaviors in networked transport systems. Contemp. Read. Law Soc. Justice 13, 37–50. doi: 10.22381/CRLSJ13220213
Karaoglan Yilmaz, F. G., Avci, U., and Yilmaz, R. (2022). The role of loneliness and aggression on smartphone addiction among university students. Curr. Psychol. 1–9. doi: 10.1007/s12144-022-03018-w [Epub ahead of print].
Kayis, A. R., Satici, B., Deniz, M. E., Satici, S. A., and Griffiths, M. D. (2021). Fear of COVID-19, loneliness, smartphone addiction, and mental wellbeing among the Turkish general population: a serial mediation model, Behav. Inform. Technol. doi: 10.1080/0144929X.2021.1933181 [Epub ahead of print].
Kliestik, T., Kovalova, E., and Lăzăroiu, G. (2022a). Cognitive decision-making algorithms in data-driven retail intelligence: consumer sentiments, choices, and shopping behaviors. J. Self Gov. Manag. Econ. 10, 30–42. doi: 10.22381/jsme10120222
Kliestik, T., Zvarikova, K., and Lăzăroiu, G. (2022b). Data-driven machine learning and neural network algorithms in the retailing environment: consumer engagement, experience, and purchase behaviors. Econom. Manag. Financ. Market. 17, 57–69. doi: 10.22381/emfm17120224
Köse, S., and Murat, M. (2021). Examination of the relationship between smartphone addiction and cyberchondria in adolescents. Arch. Psychiatr. Nurs. 35, 563–570. doi: 10.1016/j.apnu.2021.08.009
Kufel, T. (2020). ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries. Equilib. Q. J. Econom. Econom. Pol. 15, 181–204. doi: 10.24136/eq.2020.009
Lai, S. A., Pang, K. Y., Siau, C. S., Chan, C. M. H., Tan, Y. K., Ooi, P. B., et al. (2022). Social support as a mediator in the relationship between perceived stress and nomophobia: An investigation among Malaysian university students during the COVID-19 pandemic. Curr. Psychol. doi: 10.1007/s12144-022-03256-y [Epub ahead of print].
Lăzăroiu, G., and Harrison, A. (2021). Internet of things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management. Geopolit. History Int. Relat. 13, 23–36. doi: 10.22381/GHIR13220212
Lăzăroiu, G., Kovacova, M., Siekelova, A., and Vrbka, J. (2020). Addictive behavior of problematic smartphone users: the relationship between depression, anxiety, and stress. Rev. Contemp. Philos. 19, 50–56. doi: 10.22381/RCP1920204
Lăzăroiu, G., Mihăilă, R., and Braniște, L. (2021a). The language of misinformation literacy: COVID-19 vaccine hesitancy attitudes, behaviors, and perceptions. Linguist. Philos. Invest. 20, 85–94. doi: 10.22381/LPI2020217
Lăzăroiu, G., Mihăilă, R., and Braniște, L. (2021b). The language of COVID-19 vaccine hesitancy and public health misinformation: distrust, unwillingness, and uncertainty. Rev. Contemp. Philos. 20, 117–127. doi: 10.22381/RCP2020217
Lewis, E. (2021). COVID-19-related psychosocial stressors, sexual behaviors, and quality of life. J. Res. Gender Stud. 11, 59–72. doi: 10.22381/JRGS11220214
Li, D., Juan, H., Min, L., Jiali, D., Yurong, Z., Feiya, L., et al. (2021a). Based on a decision tree model for exploring the risk factors of smartphone addiction among children and adolescents in China during the COVID-19 pandemic. Front. Psychol. 12:652356. doi: 10.3389/fpsyt.2021.652356
Li, J., Zhan, D., Zhou, Y., and Gao, X. (2021b). Loneliness and problematic mobile phone use among adolescents during the COVID-19 pandemic: the roles of escape motivation and self-control. Addict. Behav. 118:106857. doi: 10.1016/j.addbeh.2021.106857
Liang, L., Li, C., Meng, C., Guo, X., Lv, J., Fei, J., et al. (2022). Psychological distress and internet addiction following the COVID-19 outbreak: fear of missing out and boredom proneness as mediators. Arch. Psychiatr. Nurs. 40, 8–14. doi: 10.1016/j.apnu.2022.03.007
Liu, N., Xu, Z., and Skare, M. (2021). The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics. Oecon. Copern. 12, 217–268. doi: 10.24136/oc.2021.009
Liu, H., Zhou, Z., Huang, L., Zhu, E., Yu, L., and Zhang, M. (2022a). Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students. BMC Psychiatry 22:305. doi: 10.1186/s12888-022-03956-6
Liu, H., Zhou, Z., Zhu, E., Huang, L., and Zhang, M. (2022b). Smartphone addiction and its associated factors among freshmen medical students in China: a cross-sectional study. BMC Psychiatry 22:308. doi: 10.1186/s12888-022-03957-5
Ma, A., Yang, Y., Guo, S., Li, X., Zhang, S., and Chang, H. (2022). The impact of adolescent resilience on mobile phone addiction during COVID-19 normalization and flooding in China: a chain mediating. Front. Psychol. 13:865306. doi: 10.3389/fpsyg.2022.865306
Marengo, D., Fabris, M. A., Longobardi, C., and Settanni, M. (2022). Smartphone and social media use contributed to individual tendencies towards social media addiction in Italian adolescents during the COVID-19 pandemic. Addict. Behav. 126:107204. doi: 10.1016/j.addbeh.2021.107204
Masaeli, N., and Farhadi, H. (2021). Prevalence of internet-based addictive behaviors during COVID-19 pandemic: a systematic review. J. Addict. Dis. 39, 468–488. doi: 10.1080/10550887.2021.1895962
Meng, S.-Q., Cheng, J.-L., Li, Y.-Y., Yang, X.-Q., Zheng, J.-W., Chang, X.-W., et al. (2022). Global prevalence of digital addiction in general population: a systematic review and meta-analysis. Clin. Psychol. Rev. 92:102128. doi: 10.1016/j.cpr.2022.102128
Mihalca, L., Ratiu, L., Brendea, G., Metz, D., Dragan, M., and Dobre, F. (2021). Exhaustion while teleworking during COVID-19: a moderated-mediation model of role clarity, self-efficacy, and task interdependence. Oecon. Copern. 12, 269–306. doi: 10.24136/oc.2021.010
Montag, C., and Elhai, J. D. (2020). Discussing digital technology overuse in children and adolescents during the COVID-19 pandemic and beyond: On the importance of considering affective neuroscience theory. Addict. Behav. Rep. 12:100313. doi: 10.1016/j.abrep.2020.100313
Montag, C., Sindermann, C., Rozgonjuk, D., Yang, S., Elhai, J. D., and Yang, H. (2021). Investigating links between fear of COVID-19, neuroticism, social networks use disorder, and smartphone use disorder tendencies. Front. Psychol. 12:682837. doi: 10.3389/fpsyg.2021.682837
Mullen, M., and Lythberg, B. (2021). Kindness in giving? Giving to and through the arts in the time of COVID-19. Knowl. Cult. 9, 111–138. doi: 10.22381/kc9320217
Nan, Z., and Guangyu, Z. (2021). COVID-19 stress and addictive social media use (SMU): mediating role of active use and social media flow. Front. Psychol. 12:635546. doi: 10.3389/fpsyt.2021.635546
Nemțeanu, M.-S., and Dabija, D.-C. (2021). The influence of internal marketing and job satisfaction on task performance and counterproductive work behavior in an emerging market during the COVID-19 pandemic. Int. J. Environ. Res. Public Health 18, 3670. doi: 10.3390/ijerph18073670
Nemțeanu, M. S., Dinu, V., and Dabija, D. C. (2021). Job insecurity, job instability and job satisfaction in the context of COVID-19 pandemic. J. Competit. 13, 65–82. doi: 10.7441/joc.2021.02.04
Nemțeanu, M. S., Dinu, V., Pop, R. A., and Dabija, D. C. (2022). Predicting job satisfaction and work engagement behavior in the COVID-19 pandemic: a conservation of resources theory approach. E&M Econom. Manag. 25, 23–40. doi: 10.15240/tul/001/2022-2-002
Nica, E. (2021). Urban big data analytics and sustainable governance networks in integrated smart city planning and management. Geopolit. History Int. Relat. 13, 93–106. doi: 10.22381/GHIR13220217
Nica, E., Kliestik, T., Valaskova, K., and Sabie, O.-M. (2022a). The economics of the metaverse: immersive virtual technologies, consumer digital engagement, and augmented reality shopping experience. Smart Gov. 1, 21–34. doi: 10.22381/sg1120222
Nica, E., Sabie, O.-M., Mascu, S., and Luțan Petre, A. G. (2022b). Artificial intelligence decision-making in shopping patterns: consumer values, cognition, and attitudes. Econom. Manag. Financ. Market. 17, 31–43. doi: 10.22381/emfm17120222
Peng, Y., Zhou, H., Zhang, B., Mao, H., Hu, R., and Jiang, H. (2022). Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: the mediating roles of rumination and the moderating role of self-control. Pers. Individ. Differ. 185:111222. doi: 10.1016/j.paid.2021.111222
Pera, A., and Cuțitoi, A.-C. (2021). COVID-19 vaccine education: vaccine hesitancy attitudes and preventive behavior adherence. Analy. Metaphys. 20, 62–73. doi: 10.22381/am2020214
Platt, C. (2021). Public legitimacy of vaccine passports: ethical and regulatory issues raised by COVID-19 immunity certificates. Linguist. Philos. Invest. 20, 135–144. doi: 10.22381/LPI20202112
Potas, N., Açıkalın, Ş. N., Erçetin, Ş. Ş., Koçtürk, N., Neyişci, N., Çevik, M. S., et al. (2022). Technology addiction of adolescents in the COVID-19 era: mediating effect of attitude on awareness and behavior. Curr. Psychol. 41, 1687–1703. doi: 10.1007/s12144-021-01470-8
Saadeh, H., Al Fayez, R. Q., Al Refaei, A., Shewaikani, N., Khawaldah, H., Abu-Shanab, S., et al. (2021). Smartphone use among university students during COVID-19 quarantine: An ethical trigger. Front. Public Health 9:600134. doi: 10.3389/fpubh.2021.600134
Saiful, I. M., Hossain, S. M. S., Rafia, T., Aziz, M. R., Zannatul, F. M., Sk, K., et al. (2021). Problematic smartphone and social media use among Bangladeshi college and university students amid COVID-19: The role of psychological well-being and pandemic related factors. Front. Psychol. 12:647386. doi: 10.3389/fpsyt.2021.647386
Sarıalioğlu, A., Atay, T., and Arıkan, D. (2022). Determining the relationship between loneliness and internet addiction among adolescents during the covid-19 pandemic in Turkey. J. Pediatr. Nurs. 63, 117–124. doi: 10.1016/j.pedn.2021.11.011
Serra, G., Lo Scalzo, L., Giuffrè, M., Ferrara, P., and Corsello, G. (2021). Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents. Ital. J. Pediatr. 47, 150. doi: 10.1186/s13052-021-01102-8
Sfeir, E., Hallit, S., Akel, M., Salameh, P., and Obeid, S. (2021). Smartphone addiction and personality traits among Lebanese adults: the mediating role of self-esteem. Psychol. Health Med. 1–11. doi: 10.1080/13548506.2021.1995886 [Epub ahead of print].
Song, Y., Sznajder, K., Cui, C., Yang, Y., Li, Y., and Yang, X. (2022). Anxiety and its relationship with sleep disturbance and problematic smartphone use among Chinese medical students during COVID-19 home confinement—A structural equation model analysis. J. Affect. Disord. 296, 315–321. doi: 10.1016/j.jad.2021.09.095
Sui, W., Sui, A., Munn, J., and Irwin, J. D. (2022). Comparing the prevalence of nomophobia and smartphone addiction among university students pre-COVID-19 and during COVID-19. J. Am. Coll. Heal. doi: 10.1080/07448481.2022.2087473 [Epub ahead of print].
Ting, C. H., and Essau, C. (2021). Addictive behaviours among university students in Malaysia during COVID-19 pandemic. Addict. Behav. Rep. 14:100375. doi: 10.1016/j.abrep.2021.100375
Waliszewski, K., and Warchlewska, A. (2021). Comparative analysis of Poland and selected countries in terms of household financial behaviour during the COVID-19 pandemic. Equilibrium. Q. J. Econom. Econom. Pol. 16, 577–615. doi: 10.24136/eq.2021.021
Wallace, S., and Lăzăroiu, G. (2021). Predictive control algorithms, real-world connected vehicle data, and smart mobility technologies in intelligent transportation planning and engineering. Contemp. Read. Law Soc. Justice 13, 79–92. doi: 10.22381/CRLSJ13220216
Werling, A. M., Walitza, S., and Drechsler, R. (2021). Impact of the COVID-19 lockdown on screen media use in patients referred for ADHD to child and adolescent psychiatry: an introduction to problematic use of the internet in ADHD and results of a survey. J. Neural Transm. 128, 1033–1043. doi: 10.1007/s00702-021-02332-0
Xu, T., Sun, X., Jiang, P., Chen, M., Yue, Y., and Dong, E. (2022). Effects of cell phone dependence on mental health among college students during the pandemic of COVID-19: a cross-sectional survey of a medical university in Shanghai. Front. Psychol. 13:920899. doi: 10.3389/fpsyg.2022.920899
Yam, F. C., Korkmaz, O., and Griffiths, M. D. (2021). The association between fear of Covid-19 and smartphone addiction among individuals: the mediating and moderating role of cyberchondria severity. Curr. Psychol. 1–14. doi: 10.1007/s12144-021-02324-z [Epub ahead of print].
Yan, J. (2021). Problematic social media usage and anxiety among university students during the COVID-19 pandemic: the mediating role of psychological capital and the moderating role of academic burnout. Front. Psychol. 12:612007. doi: 10.3389/fpsyg.2021.612007
Yang, X., Hu, H., Zhao, C., Xu, H., Tu, X., and Zhang, G. (2021). A longitudinal study of changes in smart phone addiction and depressive symptoms and potential risk factors among Chinese college students. BMC Psychiatry 21, 252. doi: 10.1186/s12888-021-03265-4
Zarco-Alpuente, A., Ciudad-Fernández, V., Ballester-Arnal, R., Billieux, J., Gil-Llario, M. D., King, D. L., et al. (2022). Problematic internet use prior to and during the COVID-19 pandemic. Cyberpsychology 15, 1. doi: 10.5817/CP2021-4-1
Zhan, Z., Wei, Q., and Hong, J.-C. (2021). Cellphone addiction during the Covid-19 outbreak: how online social anxiety and cyber danger belief mediate the influence of personality. Comput. Hum. Behav. 121:106790. doi: 10.1016/j.chb.2021.106790
Zhang, C., Hao, J., Liu, Y., Cui, J., and Yu, H. (2022). Associations between online learning, smartphone addiction problems, and psychological symptoms in Chinese college students after the COVID-19 pandemic. Front. Public Health 10:881074. doi: 10.3389/fpubh.2022.881074
Zhang, C., Zeng, P., Tan, J., Sun, S., Zhao, M., Cui, J., et al. (2021). Relationship of problematic smartphone use, sleep quality, and daytime fatigue among quarantined medical students during the COVID-19 pandemic. Front. Psychol. 12:755059. doi: 10.3389/fpsyt.2021.755059
Zhao, J., Ye, B., Luo, L., and Yu, L. (2022a). The effect of parent phubbing on Chinese adolescents’ smartphone addiction during COVID-19 pandemic: testing a moderated mediation model. Psychol. Res. Behav. Manag. 15, 569–579. doi: 10.2147/PRBM.S349105
Zhao, J., Ye, B., and Yu, L. (2021). Peer phubbing and Chinese college students’ smartphone addiction during COVID-19 pandemic: the mediating role of boredom proneness and the moderating role of refusal self-efficacy. Psychol. Res. Behav. Manag. 14, 1725–1736. doi: 10.2147/PRBM.S335407
Zhao, J., Ye, B., Yu, L., and Xia, F. (2022b). Effects of stressors of COVID-19 on Chinese college students’ problematic social media use: a mediated moderation model. Front. Psychol. 13:917465. doi: 10.3389/fpsyt.2022.917465
Zhen, R., Li, L., Li, G., and Zhou, X. (2021). Social isolation, loneliness, and mobile phone dependence among adolescents during the COVID-19 pandemic: roles of parent–child communication patterns. Int. J. Ment. Heal. Addict. 1–15. doi: 10.1007/s11469-021-00700-1 [Epub ahead of print].
Keywords: smartphone, addiction, psychology, COVID-19, pandemic
Citation: Popescu A-M, Balica R-Ș, Lazăr E, Bușu VO and Vașcu J-E (2022) Smartphone addiction risk, technology-related behaviors and attitudes, and psychological well-being during the COVID-19 pandemic. Front. Psychol. 13:997253. doi: 10.3389/fpsyg.2022.997253
Edited by:
George Lazaroiu, Spiru Haret University, RomaniaReviewed by:
Jana Majerova, AMBIS University, CzechiaAdam Balcerzak, University of Warmia and Mazury in Olsztyn, Poland
Copyright © 2022 Popescu, Balica, Lazăr, Bușu and Vașcu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Raluca-Ștefania Balica, ralucastefaniabalica@gmail.com