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Article

Internet Addiction and Physical Activity among Polish and Portuguese Students in the Final Year of the COVID-19 Pandemic

1
Faculty of Health Sciences, University of Lomza, 14 Akademicka St., 18-400 Lomza, Poland
2
Plant of Quantitative Methods, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
3
Health Sciences Research Unit: Nursing (UICISA: E), Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(16), 5204; https://doi.org/10.3390/jcm12165204
Submission received: 14 May 2023 / Revised: 25 June 2023 / Accepted: 8 August 2023 / Published: 10 August 2023
(This article belongs to the Section Mental Health)

Abstract

:
Aim: The purpose of this study was to analyze the level of Internet addiction and physical activity, as well as the relationship between internet addiction and physical activity, among Polish and Portuguese students in the final year of the COVID-19 pandemic. Methods: A web-based online survey was conducted among students in Poland and Portugal (398 respondents) aged between 17 and 26 in October 2022. The level of internet addiction was assessed by the Kimberly Young questionnaire in Polish and in Portuguese. The level of physical activity was measured by the international physical activity questionnaire in Polish and in Portuguese. Results: In the study population, the majority of the respondents were mildly addicted to the internet. The average level of addiction was reported by 9.3–23.5% of the respondents. The average level of internet addiction was higher among Portuguese students and among men. Those who had suffered from COVID-19 (especially more than once) and were more physically active showed a higher tendency towards internet addiction. Conclusions: Internet addiction is a problem that has to be monitored and given more attention, particularly among male students. The results presented provide the first statistical insight into the problem of internet addiction among students in both countries and form the basis for further studies. They also highlight the severity of the problem and point to the need for early preventive and protective interventions against problematic internet use. It appears that effective strategies should include promoting the benefits of physical activity.

1. Introduction

The threat of the COVID-19 pandemic has changed many areas of life, often making life more difficult and changing daily habits. The pandemic period even forced society to digitize selected areas of life several times, including studying, working or meeting friends. In this situation, it quickly became apparent that one of the most important tools for daily life was the internet [1,2]. It is primarily a source of information, knowledge and communication. The high availability of the internet on mobile devices is one of the main factors contributing to its excessive use [3]. The term addiction is defined as the body’s strong habit of taking unhealthy substances or performing a particular activity too often. In a modern world dominated by computers and smartphones, uncontrolled use of the internet can develop into an addiction [4,5] and not only have long-term effects physically but also become an obsession, leading to mental health problems [6,7,8].
On the one hand, the progressive spread and popularization of digital technology in several spheres of life aids individuals in navigating daily life, but on the other, it also introduces some limits. These restrictions may lead to a decrease in physical activity, which would lower quality of life [9,10].
Systematic physical activity at an appropriate level has many benefits for health and wellbeing. It has a beneficial effect on the cardiovascular, respiratory, nervous and musculoskeletal system [11,12]. Numerous scientific studies show that as little as 10 min of daily activity such as walking or cycling can affect a person’s mood [13,14,15]. There is also evidence in the literature that the negative effects of reduced physical activity on the body contribute to a more rapid onset of some diseases of civilization, such as back pain, obesity, diabetes or hypertension [16,17,18].
Young people with high levels of physical activity tend to spend less time on stationary activities such as the internet. A number of studies have shown that misuse of the internet has a number of negative consequences for an individual’s health [19,20]. There are also studies in the literature that describe associations between levels of internet addiction and physical activity [21,22,23,24].
Researchers from the University of Economics in Katowice conducted a study in 2020, which showed the growing importance of the internet to society. According to this research, in 2020, 91% of households in the European Union (including Poland) had access to the internet and used it systematically. In comparison, only 70% of households in the European Union were connected to the internet in 2010. The results show that internet access still varies from country to country. The highest levels were recorded for 2020 in the Netherlands, Finland and Germany, and the lowest in Bulgaria, Greece and Portugal. Four member states (Denmark, Finland, Sweden and the Netherlands) recorded the highest percentage of regular internet users, over 90%. A high percentage of at least 80% of people using the internet every day was registered in 14 countries. The EU average for 2020 was 80%, and thirteen member states were below this average, including Poland with a score of 72%. Only Portugal, Greece and Romania performed worse than Poland [25].
However, despite the risks of frequent internet use to important areas of life including interpersonal relationships as well as physical or mental health, the number of people using the internet continues to rise [26,27,28,29,30]. Therefore, there is a need for multidimensional research into the factors that influence the negative effects of internet addiction. This may in the future contribute to the development of educational programs to prevent the spread of this harmful phenomenon.
The aim of this study was to provide a preliminary assessment of the level of internet addiction and physical activity and the relationship between internet addiction and physical activity among Polish and Portuguese students in the final year of the COVID-19 pandemic.

2. Materials and Methods

2.1. Participants and Procedure

A cross-sectional survey of Polish and Portuguese students was conducted in October 2022. The survey was made available on the internet through a link to Google Forms with a questionnaire created by the authors. It was distributed through the researchers’ online e-learning platforms and social media. It targeted students from a variety of disciplines. In addition to the questionnaires, the link included information about voluntary consent to participate in the survey and its anonymity. The questionnaire was prepared in two languages (Polish and Portuguese). The requirements for participation in the study were: student status, consent to participate in the study, residence in Poland or Portugal and complete completion of the questionnaire. The exclusion criteria were: no student status, no consent to participate in the study, residence in a country other than Poland and Portugal and incomplete completion of the questionnaire. The researchers received a total of 502 responses to their request, of which 398 correctly completed questionnaires were analyzed (229 from Poland and 169 from Portugal). Respondents were between 17 and 26 years old, and the median for age in both countries was 22 years. There were 247 women and 151 men in the study group.
The project was approved by the University of Lomza Senate Committee on Ethics in Scientific Research. Participation in the study was voluntary, and the findings were published (Journal of Laws 2018, item 1000) in accordance with Regulation (European Union) 2016/679 of the European Parliament and of the Council of 27 April 2016, on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC, in the Personal Data Protection Act of 10 May 2018. GDPR, or the general data protection regulation, the study’s objectives, poll methodology and pertinent data protection requirements were all disclosed to respondents.

2.2. Methods for Assessing Internet Addiction and Physical Activity

2.2.1. Kimberly Young Questionnaire

Internet addiction was assessed using the Kimberly Young questionnaire [31]. This is a 20-item instrument that assesses frequency of internet use. The respondents answered questions on a five-point scale [24]. A minimum of 20 and a maximum of 100 points could be obtained. The more points the respondents scored, the higher their level of internet dependence. The respondents were divided into three groups: low dependence (20–49 points), medium dependence (50–79) and high dependence (80–100 points) [24]. The Cronbach’s alpha value for the Kimberly Young questionnaire reported in the literature is >0.7 [32,33,34].

2.2.2. International Physical Activity Questionnaire

An abbreviated version of the international physical activity questionnaire (IPAQ), designed for individuals aged 15–69 years, was used to assess physical activity levels [35]. Its questions cover all forms of daily physical activity. It assesses activity in and around the home, at work and during leisure time. The respondents answered questions about the amount of uninterrupted time of at least 10 min spent sitting, walking and engaging in vigorous and moderate physical activity. The activities assessed were reported in units of MET -min/week, i.e., the product of a factor assigned to a given activity and the number of days in the week that this activity was performed as well as the duration per day in minutes [35]. The Cronbach’s alpha value for the international physical activity questionnaire reported in the literature is >0.7 [36,37,38].

2.3. Statistical Methods

The Statistica v. 13 software was employed for the statistical analysis (TIBCO Software Inc., Palo Alto, CA, USA, 2017). The significance of the differences in internet addiction and physical activity level (IPAQ) between groups of Portuguese and Polish students was assessed using the Mann–Whitney test, and differences in the percentage distribution of internet addiction level classification and activity level were assessed using the chi-squared test of independence. Internet addiction and physical exercise were correlated using Spearman’s rank correlation coefficient. The significance of differences in internet addiction versus activity level classification was assessed using the Kruskal–Wallis test. The use of non-parametric techniques was required due to the non-normality of the distributions of the IPAQ and internet addiction measures, both of which exhibited very substantial right-handed asymmetry. All statistical analyses were conducted using a significance level of p < 0.05 (*); however, results for p < 0.01 (**) and p < 0.001 (***) were also mentioned.

3. Results

3.1. Comparative Characteristics of the Studied Communities

The analysis was based on data collected from a group of Polish and Portuguese students consisting of 398 people (Table 1). Both groups were comparable in terms of age, with female students outnumbering males in both groups. Respondents were between 17 and 26 years old (Portugal) and between 18 and 26 years (Poland). The median for age in both countries was 22 years.
The declaration of having COVID-19 was reported by more than 70% of respondents among Poles and almost 85% among Portuguese students (Figure 1). The difference in the proportion of COVID-19 sufferers among the respondents was statistically significant (p = 0.0029). However, the researchers had no method of determining the dependability of the responses.

3.2. Comparison of Internet Addiction among Students from Both Countries

Considering the total population of Polish and Portuguese respondents, it was concluded that the average level of internet addiction was higher among the Portuguese adolescents (Table 2).

3.3. Comparison of Internet Addiction by Student Sex

A factor that may influence internet addiction levels is undoubtedly sex. Information on the extent of internet addiction in both countries, broken down by sex, is summarized below.
As can be seen, the level of internet addiction was higher among the males in both countries, with a slightly larger sex difference among the Portuguese students (Table 3). When comparing the two countries, the Portuguese students were more addicted to the internet among both males and females. However, the difference was not statistically significant for women (p = 0.1074), while it was significant for men (p = 0.0437 *).
On the other hand, if the results are classified as low, medium and high, it shows that the majority of the individuals were mildly addicted to the internet (about 75–90%), and there was no statistically significant difference between the Polish and Portuguese students, although more individuals in the latter country showed a medium or high (mostly medium) severity of internet addiction (Table 4).

3.4. COVID-19 Incidence and Internet Addiction

The condition of COVID-19 may be associated with forced isolation and as such may influence an increased frequency of internet use. On the other hand, there are so many factors that interfere with this potential correlation that one would tend to expect no correlation here either.
Interestingly, there was some correlation between the number of reported COVID-19 cases and internet addiction (Table 5). These were very weak correlations that were only statistically significant for the Polish women, while they were almost statistically significant for the male groups (p < 0.10). However, it is possible to speak of some correlation and this is an interesting conclusion. A positive sign of the correlation coefficient means that people who suffered from COVID-19 (especially more than once) were more likely to become internet addicts.

3.5. Comparison of Activities among Students from Both Countries

The classifications of the IPAQ measures are presented below (Table 6). It can be seen that the Polish women were more extreme in terms of physical activity, while more than half of the Portuguese women reported a medium level of physical activity.

3.6. Internet Addiction and Physical Activity

Statistically significant correlations were also found between physical activity and internet addiction (Table 7). Positive correlations were observed in all the groups considered, but statistically significant correlations were found among the Portuguese women and Polish men. These were weak correlations, as is usually the case in studies based on participants’ subjective responses and complex questionnaires on behavior or mental states. What is surprising and somewhat troublesome from an interpretation point of view, however, is the direction of the correlations—the correlation coefficients were positive, which means that those who were more physically active also showed more internet dependence.

4. Discussion

Internet addiction is a growing social problem at a public health level that affects people worldwide. It is particularly dangerous in adolescent and student populations [39]. At the same time, it is one of the fastest growing addictions worldwide, negatively affecting the physical and mental health of young people [40]. Looking holistically, during the first wave of the COVID-19 pandemic, mild and more severe symptoms of internet addiction were diagnosed in about one third of students in Poland [41].
At the same time, students in Portugal were found to use social media for between 3 and 8 h per day, with this time increasing during isolation [42]. In an international comparison, Thai students reported a lower prevalence of internet addiction during the pandemic at 5.8% [43], while other studies have found a much higher prevalence of this worrying phenomenon. More specifically, the results are as follows: 10.4% of students addicted to the internet were found in Mexico [44], 12.4% in Spain [45], 16.8% in the United States [46], 20% in Brazil [47], 28.4% in China [48], 32.6% in Bangladesh [49], 51.7% in Egypt [40] and 55% in Nigeria [50]. At the same time, the level of physical activity also decreased significantly during the pandemic period, both among young people from Poland [51,52] and Portugal [53,54] but also among students worldwide [55].
The majority of respondents in the sample population reported a minor level of internet addiction. However, a worrying conclusion was that, on average, 9.3–23.5% of the respondents showed signs of addiction. Similar findings were obtained from a study of university students in Slovakia and the Czech Republic, where the majority of participants showed a modest level of internet addiction. However, the study’s findings on mild addiction revealed lower values, with 3.4% of Czech and 6% of Slovak students reporting mild internet addiction [56].
Sex is clearly a factor that could affect the severity of internet addiction. It is a significant danger factor for internet addiction [57]. In our study, males in both nations had a greater level of internet addiction; however, the Portuguese students had a slightly larger gender gap. The Czech Republic and Slovakia [56], Italy [58,59], the United States [60], Iran [61], Turkey [62], Poland [63], Tanzania [64] and India [65], among other countries, all found that male students were more likely to be addicted to the internet. These results confirm the findings obtained before the COVID-19 pandemic [66]. Of course, there are also studies in the literature in which women relied more heavily on boarding schools [40,67] or equally as much as men [68], but these are rare. According to the literature, the primary virtual activity for male students with moderate to severe internet addiction is online gaming, and for female students it is online streaming [69].
The average level of internet addiction was higher in young students from Portugal. The discrepancy found between the countries studied requires further investigation. It is known that students from urban areas are more likely to be affected by internet addiction [70]. Urban areas have better access to the internet, and their residents use it more often and are more likely to be addicted [71].
In both Poland and Portugal, the students who had suffered from COVID-19 (especially more than once) were more likely to be addicted to the internet. In studies conducted during the lockdown in the Dominican Republic, Egypt, Guyana, India, Mexico, Pakistan and Sudan, it was observed that students who reported COVID-19-related symptoms had sleep disturbances and higher levels of internet addiction [72].
The correlation coefficients of internet addiction and physical activity found in this study were positive, which means that individuals who were more physically active were also more addicted to the internet. It seems that the cause of this correlation is due to another common factor, but it is not evident from the data collected in this study. Perhaps it is a general “life activity” during the pandemic—some people may have fallen into a general apathy and then “did not want” to do anything either real or virtual. This could also be due to the fact that during the pandemic, various online platforms, apps and videos promoting physical activity were used more frequently. At the same time, they facilitated and promoted regular exercise without leaving the house. This trend could also be observed after the pandemic in Poland and Portugal. When interpreting the results, it should also be taken into account that the people surveyed were mostly not highly addicted to the internet (85% were categorized as “low” in terms of their level of internet addiction), so a slightly higher level of addiction in physically active people does not necessarily already indicate a pathological condition. These findings are surprising, as the data available in the literature clearly suggest that physical activity reduces the risk of developing certain psychiatric disorders and is an effective adjunct to the therapeutic process for depression, anxiety and addictions [73].
The authors acknowledge the limitations of the presented study. The first is the nature of the study (cross-sectional), which does not provide robust causal evidence for the observed associations. Other limitations include the location of the study—the internet—the sample size, and the use of self-report questionnaires. The study does have strengths, however, particularly in terms of the findings on the problem of internet addiction among university students in Poland and Portugal, where this topic is poorly researched and has little evidence base. The authors also consider the use of validated research instruments, the low cost of conducting the study and the ease of access to the study group as strengths.

5. Conclusions

Internet addiction among adults is a phenomenon of recent years, made more evident by the COVID-19 pandemic. The results of this study are important because it is a problem that has to be monitored and given more attention, particularly among students. The findings of this study close a significant research gap and can be regarded as innovative, particularly in Portugal. The results presented provide the first statistical insight into the problem of internet addiction among students in both countries and form the basis for further studies. They also highlight the severity of the problem and point to the need for early preventive and protective interventions against problematic internet use. It appears that effective strategies should include promoting the benefits of physical activity (despite the findings of our own study). The next step could be to develop educational programs to prevent the spread of this harmful phenomenon. This study also clearly indicates (what is important in daily practice) that prevention programs should target male students in particular.

Author Contributions

Conceptualization, A.Z. and M.G.; methodology, A.Z. and M.G.; formal analysis, M.S.; investigation, A.Z. and M.G.; data curation, A.Z., M.G. and H.F.; writing—original draft preparation, A.Z., M.G. and M.S.; visualization, A.Z. and M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This work received no external funding.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Senate Commission for Ethics in Scientific Research of the University of Lomza (4907500).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are openly available in RepOD at https://doi.org/10.18150/0J3FKR (accessed on 14 February 2023).

Acknowledgments

The authors from Poland would like to thank the Instituto Politécnico de Bragança for making it possible to conduct joint research, thanks to which this publication was possible.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bowditch, L.; Chapman, J.; Naweed, A. Do coping strategies moderate the relationship between escapism and negative gaming outcomes in World of Warcraft (MMORPG) players? Comput. Hum. Behav. 2018, 86, 69–76. [Google Scholar] [CrossRef]
  2. Flor, L.S.; Friedman, J.; Spencer, C.N.; Cagney, J.; Arrieta, A.; Herbert, M.E.; Stein, C.; Mullany, E.C.; Hon, J.; Patwardhan, V.; et al. Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: A comprehensive review of data from March, 2020, to September, 2021. Lancet 2022, 399, 2381–2397. [Google Scholar] [CrossRef]
  3. Wu, C.Y.; Lee, M.B.; Liao, S.C.; Chang, L.R. Risk Factors of Internet Addiction among Internet Users: An Online Questionnaire Survey. PLoS ONE 2015, 10, e0137506. [Google Scholar] [CrossRef]
  4. Brailovskaia, J.; Margraf, J. I present myself and have a lot of Facebook-friends—Am I a happy narcissist!? Personal. Individ. Differ. 2019, 148, 11–16. [Google Scholar] [CrossRef]
  5. Krajewska-Kułak, E.; Kułak, W.; van Damme-Ostapowicz, K. Uzależnienie od Internetu wśród studentów kierunku pielęgniarstwo. Probl. Hig. Epidemiol. 2010, 91, 41–47. [Google Scholar]
  6. Hou, J.; Jiang, Y.; Chen, S.; Hou, Y.; Wu, J.; Fan, N.; Fang, X. Cognitive mechanism of intimate interpersonal relationships and loneliness in internet-addicts: An ERP study. Addict. Behav. Rep. 2019, 10, 100209. [Google Scholar] [CrossRef]
  7. Zhou, M.; Zhu, W.; Sun, X.; Huang, L. Internet addiction and child physical and mental health: Evidence from panel dataset in 476 China. J. Affect. Disord. 2022, 309, 52–62. [Google Scholar] [CrossRef]
  8. Huang, Y.; Xu, L.; Mei, Y.; Wei, Z.; Wen, H.; Liu, D. Problematic Internet use and the risk of suicide ideation in Chinese adolescents: 474 A cross-sectional analysis. Psychiatry Res. 2020, 290, 112963. [Google Scholar] [CrossRef]
  9. Garrett, L. COVID-19: The medium is the message. Lancet 2020, 395, 942–943. [Google Scholar] [CrossRef]
  10. Siste, K.; Hanafi, E.; Sen, T.T.; Christian, H.; Adrian; Siswidiani, L.P.; Limawan, A.P.; Murtani, B.J.; Suwartono, C. The Impact of Physical Distancing and Associated Factors towards Internet Addiction among Adults in Indonesia during COVID-19 Pandemic: A Nationwide Web-Based Study. Front. Psychiatry 2020, 11, 580977. [Google Scholar] [CrossRef]
  11. Shahidi, S.H.; Stewart Williams, J.; Hassani, F. Physical activity during COVID-19 quarantine. Acta Paediatr. 2020, 109, 2147–2148. [Google Scholar] [CrossRef]
  12. Marconcin, P.; Werneck, A.O.; Peralta, M.; Ihle, A.; Gouveia, R.; Ferrari, G.; Sarmento, H.; Marques, A. The association between physical activity and mental health during the first year of the COVID-19 pandemic: A systematic review. BMC Public Health 2022, 22, 209. [Google Scholar] [CrossRef]
  13. Rogerson, M.; Wood, C.; Pretty, J.; Schoenmakers, P.; Bloomfield, D.; Barton, J. Regular Doses of Nature: The Efficacy of Green Exercise Interventions for Mental Wellbeing. Int. J. Environ. Res. Public Health 2020, 17, 1526. [Google Scholar] [CrossRef] [Green Version]
  14. Stanton, R.; To, Q.G.; Khalesi, S.; Williams, S.; Alley, S.J.; Thwaite, T.L.; Fenning, A.S.; Vandelanotte, C. Depression, Anxiety and Stress during COVID-19: Associations with Changes in Physical Activity, Sleep, Tobacco and Alcohol Use in Australian Adults. Int. J. Environ. Res. Public Health 2020, 17, 4065. [Google Scholar] [CrossRef]
  15. Li, M.; Wang, Q.; Shen, J. The impact of physical activity on mental health during COVID-19 pandemic in China: A systematic review. Int. J. Environ. Res. Public Health 2022, 19, 6584. [Google Scholar] [CrossRef]
  16. Dong, H.; Yang, F.; Lu, X.; Hao, W. Internet Addiction and Related Psychological Factors among Children and Adolescents in China during the Coronavirus Disease 2019 (COVID-19) Epidemic. Front. Psychiatry 2020, 11, 751. [Google Scholar] [CrossRef]
  17. Qiu, J.; Shen, B.; Zhao, M.; Wang, Z.; Xie, B.; Xu, Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. Gen. Psychiatry 2020, 33, e100213. [Google Scholar] [CrossRef] [Green Version]
  18. Salman, D.; Vishnubala, D.; Le Feuvre, P.; Beaney, T.; Korgaonkar, J.; Majeed, A.; McGregor, A.H. Returning to physical activity after COVID-19. BMJ 2021, 372, m4721. [Google Scholar] [CrossRef]
  19. Chi, X.; Hong, X.; Chen, X. Profiles and sociodemographic correlates of internet addiction in early adolescents in southern China. Addict. Behav. 2020, 106, 106385. [Google Scholar] [CrossRef]
  20. Mendoza, J.A.; Zimmerman, F.J.; Christakis, D.A. Television viewing, computer use, obesity, and adiposity in US preschool children. Int. J. Behav. Nutr. Phys. Act. 2007, 4, 44. [Google Scholar] [CrossRef] [Green Version]
  21. Dang, A.K.; Nathan, N.; Le, Q.N.H.; Nguyen, L.H.; Nguyen, H.L.T.; Nguyen, C.T.; Do, H.P.; Nguyen, T.H.T.; Tran, T.T.; Nguyen, T.A. Associations between internet addiction and physical activity among Vietnamese youths and adolescents. Child. Youth Serv. Rev. 2018, 93, 36–40. [Google Scholar]
  22. Han, G.; Zhang, J.; Ma, S.; Lu, R.; Duan, J.; Song, Y.; Lau, P.W.C. Prevalence of Internet Addiction and Its Relationship with Combinations of Physical Activity and Screen-Based Sedentary Behavior among Adolescents in China. J. Phys. Act. Health. 2021, 18, 1245–1252. [Google Scholar] [CrossRef]
  23. Khan, M.A.; Shabbir, F.; Rajput, T.A. Effect of Gender and Physical Activity on Internet Addiction in Medical Students. Pak. J. Med. Sci. 2017, 33, 191–194. [Google Scholar] [CrossRef]
  24. Ercan, S.; Acar, H.T.; Arslan, E.; Canbulut, A.; Oğul, A.; Cetin, C. Effect of Internet Addiction on Sleep Quality, Physical Activity and Cognitive Status among University Students. J. Turk. Sleep Med. 2021, 8, 49–56. [Google Scholar] [CrossRef]
  25. Grzega, U. Dostępność I Wykorzystanie Internetu w Czasie Pandemii w Polsce I UE. Zdrowie I Style Życia: Ekonomiczne, Społeczne I Zdrowotne Skutki Pandemii; Uniwersytet Wrocławski: Wrocław, Poland, 2021. (In Polish) [Google Scholar]
  26. Alam, S.S.; Hashim, N.M.H.N.; Ahmad, M.; Wel, C.A.C.; Nor, S.M.; Omar, N.A. Negative and positive impact of internet addiction on young adults: Empericial study in Malaysia. Intang. Cap. 2014, 10, 619–638. [Google Scholar]
  27. Zenebe, Y.; Kunno, K.; Mekonnen, M.; Bewuket, A.; Birkie, M.; Necho, M.; Seid, M.; Tsegaw, M.; Akele, B. Prevalence and associated factors of internet addiction among undergraduate university students in Ethiopia: A community university-based cross-sectional study. BMC Psychol. 2021, 9, 4. [Google Scholar] [CrossRef]
  28. Cheng, C.; Li, A.Y.L. Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychol. Behav. Soc. Netw. 2014, 17, 755–760. [Google Scholar] [CrossRef]
  29. Aguilar-Latorre, A.; Navarro, C.; Oliván-Blázquez, B.; Gervilla, E.; Magallón Botaya, R.; Calafat-Villalonga, C.; García-Toro, M.; Boira, S.; Serrano-Ripoll, M.J. Effectiveness and cost-effectiveness of a lifestyle modification programme in the prevention and treatment of subclinical, mild and moderate depression in primary care: A randomised clinical trial protocol. BMJ Open 2020, 10, e038457. [Google Scholar] [CrossRef]
  30. Masaeli, N.; Farhadi, H. Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: A systematic review. J. Addict. Dis. 2021, 39, 468–488. [Google Scholar] [CrossRef]
  31. Majchrzak, P.; Ogińska-Bulik, N. Zachowania ryzykowne związane z cyberprzestrzenią. Zachowania Ryzykowne Dzieci i Młodzieży. In Polska Adaptacja Internet Addiction Test; Ogińska-Bulik, N., Ed.; Łódź Wydanie: Łódź, Poland, 2006; pp. 59–78. [Google Scholar]
  32. Kwon, M.; Lee, J.Y.; Won, W.Y.; Park, J.W.; Min, J.A.; Hahn, C.; Kim, D.J. Development and Validation of a Smartphone Addiction Scale (SAS). PLoS ONE 2013, 8, e56936. [Google Scholar] [CrossRef]
  33. Tsimtsiou, Z.; Haidich, A.B.; Kokkali, S.; Dardavesis, T.; Young, K.S. Greek Version of the Internet Addiction Test: A Validation Study. Psychiatr. Q. 2014, 85, 187–195. [Google Scholar] [CrossRef]
  34. Salarvand, S.; Bagheri, Z.; Keshvari, M.; Dalvand, P.; Ghanei Gheshlagh, R.; Keshvari, M. The Prevalence of Internet Addiction and Its Relations to the Self Esteem and Life Satisfaction in Students of a Medical University. Acta Med. Iran. 2018, 56, 392–397. [Google Scholar]
  35. Biernat, E.; Stupnicki, R.; Gajewski, A.K. Międzynarodowy Kwestionariusz Aktywności Fizycznej (IPAQ)—Wersja polska. Wych. Fiz. Sport 2007, 51, 47–54. [Google Scholar]
  36. Moghaddam, M.H.B.; Aghdam, F.; Asghari Jafarabadi, M.; Allahverdipour, H.; Nikookheslat, S.; Safarpour, S. The Iranian Version of International Physical Activity Questionnaire (IPAQ) in Iran: Content and Construct Validity, Factor Structure, Internal Consistency and Stability. World Appl. Sci. J. 2012, 18, 1073–1080. [Google Scholar]
  37. Mannocci, A.; Masala, D.; Mei, D.; Tribuzio, A.M.; Villari, P. International Physical Activity Questionnaire for Adolescents (IPAQ A): Reliability of an Italian version. Minerva Pediatr. 2021, 73, 383–390. [Google Scholar] [CrossRef]
  38. Cardol, M.; de Haan, R.J.; de Jong, B.A.; van den Bos, G.A.; de Groot, I.J. Psychometric properties of the Impact on Participation and Autonomy Questionnaire. Arch. Phys. Med. Rehabil. 2001, 82, 210–216. [Google Scholar] [CrossRef]
  39. WHO. Public Health Implications of Excessive Use of the Internet, Computers, Smartphones and Similar Electronic Devices: Meeting Report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, 27–29 August 2014; World Health Organization: Geneva, Switzerland, 2015. [Google Scholar]
  40. Shehata, W.M.; Abdeldaim, D.E. Internet addiction among medical and non-medical students during COVID-19 pandemic, Tanta University, Egypt. Environ. Sci. Pollut. Res. 2021, 28, 59945–59952. [Google Scholar] [CrossRef]
  41. Zalewska, A.; Gałczyk, M.; Sobolewski, M.; Białokoz-Kalinowska, I. Depression as Compared to Level of Physical Activity and Internet Addiction among Polish Physiotherapy Students during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 10072. [Google Scholar] [CrossRef]
  42. Oliveira, A.P.; Nobre, J.R.; Luis, H.; Luis, L.S.; Pinho, L.G.; Albacar-Riobóo, N.; Sequeira, C. Social Media Use and Its Association with Mental Health and Internet Addiction among Portuguese Higher Education Students during COVID-19 Confinement. Int. J. Environ. Res. Public Health 2023, 20, 664. [Google Scholar] [CrossRef]
  43. Wongpakaran, N.; Wongpakaran, T.; Pinyopornpanish, M.; Simcharoen, S.; Kuntawong, P. Loneliness and problematic internet use: Testing the role of interpersonal problems and motivation for internet use. BMC Psychiatry 2021, 21, 447. [Google Scholar] [CrossRef]
  44. Priego-parra, B.A.; Triana-romero, A.; Ramos, C.D.; Salas-nolasco, O.; Remestroche, J.M. Anxiety, depression, attitudes, and internet addiction during the initial phase of the 2019 coronavirus disease (COVID-19) epidemic: A crosssectional study in México. medRxiv 2020. [Google Scholar] [CrossRef]
  45. Romero-Rodríguez, J.M.; Marín-Marín, J.A.; Hinojo-Lucena, F.J.; Gómez-García, G. An explanatory model of problematic Internet use of Southern Spanish university students. Soc. Sci. Comput. Rev. 2021, 31, 100–110. [Google Scholar] [CrossRef]
  46. Younes, F.; Halawi, G.; Jabbour, H.; El Osta, N.; Karam, L.; Hajj, A.; Rabbaa Khabbaz, L. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students: A cross-sectional designed study. PLoS ONE 2016, 11, e0161126. [Google Scholar] [CrossRef] [Green Version]
  47. Corrêa Rangel, T.; Falcão Raposo, M.C.; Sampaio Rocha-Filho, P.A. Internet addiction, headache, and insomnia in university students: A cross-sectional study. Neurol. Sci. 2022, 43, 1035–1041. [Google Scholar] [CrossRef]
  48. Zhao, Y.; Jiang, Z.; Guo, S.; Wu, P.; Lu, Q.; Xu, Y.; Liu, L.; Su, S.; Shi, L.; Que, J. Association of symptoms of attention deficit and hyperactivity with problematic internet use among university students in Wuhan, China during the COVID-19 Pandemic. J. Affect. Disord. 2021, 286, 220–227. [Google Scholar] [CrossRef]
  49. Mamun, M.A.; Hossain, M.S.; Siddique, A.B.; Sikder, M.T.; Kuss, D.J.; Griffiths, M.D. Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress. Asian J. Psychiatr. 2019, 44, 48–54. [Google Scholar] [CrossRef] [Green Version]
  50. Olawade, D.; Olorunfemi, Y.; Wada, O.; Afolalu, T.; Enahoro, M. Internet Addiction among University Students during COVID-19 Lockdown: Case Study of Institutions in Nigeria. J. Educ. Hum. Dev. 2020, 9, 165–173. [Google Scholar] [CrossRef]
  51. Kosendiak, A.; Król, M.; Ściskalska, M.; Kepinska, M. The Changes in Stress Coping, Alcohol Use, Cigarette Smoking and Physical Activity during COVID-19 Related Lockdown in Medical Students in Poland. Int. J. Environ. Res. Public Health 2022, 19, 302. [Google Scholar] [CrossRef]
  52. Gałczyk, M.; Zalewska, A.; Białokoz-Kalinowska, I.; Sobolewski, M. Chronic Back Condition and the Level of Physical Activity as Well as Internet Addiction among Physiotherapy Students during the COVID-19 Pandemic in Poland. Int. J. Environ. Res. Public Health 2021, 18, 6718. [Google Scholar] [CrossRef]
  53. Silva, C.; Vilas, C.; Pereira, B.; Rosário, P.; Fuentes, S.; Magalhães, P. Changes in Physical Fitness Parameters in a Portuguese Sample of Adolescents during the COVID-19 Pandemic: A One-Year Longitudinal Study. Int. J. Environ. Res. Public Health 2023, 20, 3422. [Google Scholar] [CrossRef]
  54. Silva, M.N.; Gregório, M.J.; Santos, R.; Marques, A.; Rodrigues, B.; Godinho, C.; Silva, C.S.; Mendes, R.; Graça, P.; Arriaga, M.; et al. Towards an In-Depth Understanding of Physical Activity and Eating Behaviours during COVID-19 Social Confinement: A Combined Approach from a Portuguese National Survey. Nutrients 2021, 13, 2685. [Google Scholar] [CrossRef]
  55. López-Valenciano, A.; Suárez-Iglesias, D.; Sanchez-Lastra, M.A.; Ayán, C. Impact of COVID-19 Pandemic on University Students’ Physical Activity Levels: An Early Systematic Review. Front. Psychol. 2021, 15, 624567. [Google Scholar] [CrossRef]
  56. Gavurova, B.; Ivankova, V.; Rigelsky, M.; Mudarri, T. Internet Addiction in Socio-Demographic, Academic, and Psychological Profile of College Students during the COVID-19 Pandemic in the Czech Republic and Slovakia. Front. Public Health. 2022, 10, 944085. [Google Scholar] [CrossRef]
  57. Ye, S.; Cheng, H.; Zhai, Z.; Liu, H. Relationship between social anxiety and internet addiction in Chinese college students controlling for the effects of physical exercise, demographic, and academic variables. Front. Psychol. 2021, 12, 698748. [Google Scholar] [CrossRef]
  58. Truzoli, R.; Pirola, V.; Celebre, L.; Piccoli, E.; Vanzetto, S.; Conti, D.; Fasciana, F.; Casazza, G. Intrapersonal and social factors for problematic internet use among students during the COVID-19 pandemic. Psychiatr. Danub. 2021, 33, 144–154. [Google Scholar]
  59. Servidio, R.; Bartolo, M.; Palermiti, A.; Costabile, A. Fear of COVID-19, depression, anxiety, and their association with Internet addiction risk in a sample of Italian students. J. Affect. Disord. Rep. 2021, 4, 100097. [Google Scholar] [CrossRef]
  60. Koo, K.; Nyunt, G.; Wang, B. Who spends too much time online? Associated factors of internet addiction among international college students in the United States. J. Int. Stud. 2021, 11, 122–143. [Google Scholar] [CrossRef]
  61. Arzani-Birgani, A.; Zarei, J.; Favaregh, L.; Ghanaatiyan, E. Internet addiction, mental health, and sleep quality in students of medical sciences, Iran: A cross-sectional study. J. Educ. Health Promot. 2021, 10, 409. [Google Scholar]
  62. Esen, P.Y.; Kutlu, R.; Cihan, F.G. Internet addiction, substance use and alexithymic dimensions in two different faculties’ students. Cent. Eur. J. Public Health 2021, 29, 209–216. [Google Scholar] [CrossRef]
  63. Kozybska, M.; Kurpisz, J.; Radlińska, I.; Skwirczyńska, E.; Serwin, N.; Zabielska, P.; Kotwas, A.; Karakiewicz, B.; Lebiecka, Z.; Samochowiec, J.; et al. Problematic internet use, health behaviors, depression and eating disorders: A cross-sectional study among Polish medical school students. Ann. Gen. Psychiatry 2022, 21, 5. [Google Scholar] [CrossRef]
  64. Mboya, I.B.; Leyaro, B.J.; Kongo, A.; Mkombe, C.; Kyando, E.; George, J. Internet addiction and associated factors among medical and allied health sciences students in northern Tanzania: A cross-sectional study. BMC Psychol. 2020, 8, 73. [Google Scholar] [CrossRef]
  65. Soni, K.; Alam, M.N.; Joshi, P.R.; Kaore, N.M.; Singh, S.P. Comparative evaluation of internet addiction amongst arts, commerce, engineering and medical students. Int. J. Community Med. Public Health 2020, 7, 3197–3201. [Google Scholar] [CrossRef]
  66. Kuss, D.J.; Lopez-Fernandez, O. Internet addiction and problematic Internet use: A systematic review of clinical research. World J. Psychiatry 2016, 6, 143. [Google Scholar] [CrossRef]
  67. Taha, M.H.; Shehzad, K.; Alamro, A.S.; Wadi, M. Internet use and addiction among medical students in Qassim University, Saudi Arabia. Sultan Qaboos Univ. Med. J. 2019, 19, e142–e147. [Google Scholar]
  68. Srijampana, V.V.G.R.; Endreddy, A.R.; Prabhath, K.; Rajana, B. Prevalence and patterns of internet addiction among medical students. Med. J. Dr. DY Patil. Univ. 2014, 7, 709–713. [Google Scholar]
  69. Lin, X.; Gu, J.Y.; Guo, W.J.; Meng, Y.J.; Wang, H.Y.; Li, X.J.; Deng, W.; Zhao, L.S.; Ma, X.H.; Li, M.L.; et al. The gender-sensitive social risk factors for internet addiction in college undergraduate students. Psychiatry Investig. 2021, 18, 636–644. [Google Scholar] [CrossRef]
  70. Zewde, E.A.; Tolossa, T.; Tiruneh, S.A.; Azanaw, M.M.; Yitbarek, G.Y.; Admasu, F.T.; Ayehu, G.W.; Amare, T.J.; Abebe, E.C.; Muche, Z.T.; et al. Internet addiction and its associated factors among African high school and university students: Systematic review and meta-analysis. Front. Psychol. 2022, 13, 847274. [Google Scholar] [CrossRef]
  71. Pawłowska, B.; Zygo, M.; Potembska, E.; Kapka-Skrzypczak, L.; Dreher, P.; Kedzierski, Z. Prevalence of Internet addiction and risk of developing addiction as exemplified by a group of Polish adolescents from urban and rural areas. Ann. Agric. Environ. Med. 2015, 22, 129–136. [Google Scholar] [CrossRef] [Green Version]
  72. Tahir, M.J.; Malik, N.I.; Ullah, I.; Khan, H.R.; Perveen, S.; Ramalho, R.; Siddiqi, A.R.; Waheed, S.; Shalaby, M.M.M.; De Berardis, D.; et al. Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey. PLoS ONE 2021, 16, e0259594. [Google Scholar] [CrossRef]
  73. Firth, J.; Solmi, M.; Wootton, R.E.; Vancampfort, D.; Schuch, F.B.; Hoare, E.; Gilbody, S.; Torous, J.; Teasdale, S.B.; Jackson, S.E.; et al. A meta-review of “lifestyle psychiatry”: The role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders. World Psychiatry 2020, 19, 360–380. [Google Scholar]
Figure 1. COVID-19 disease.
Figure 1. COVID-19 disease.
Jcm 12 05204 g001
Table 1. Sex of the surveyed students.
Table 1. Sex of the surveyed students.
SexCountryTotal
PolandPortugal
Women129 (56.3%)118 (69.8%)247
Men100 (43.7%)51 (30.2%)151
Total229169398
Table 2. Internet addiction among students from both countries.
Table 2. Internet addiction among students from both countries.
CountryMeasure of Internet Addiction (p = 0.0398 *)
MeanMedianStd. Dev.c25c75MinMax
Poland34.63112.625402084
Portugal38.63416.027462083
p-test probability value calculated using the Mann–Whitney test, p < 0.05 (*).
Table 3. Internet addiction in both countries by sex of students.
Table 3. Internet addiction in both countries by sex of students.
CountryMeasure of Internet Addiction
Women (p = 0.1074)Men (p = 0.0437 *)
MeanMedianStd. Dev.c25c75MeanMedianStd. Dev.c25c75
Poland33.23012.4253936.534.512.72742
Portugal36.83315.2264242.74017.03151
p-test probability value calculated using the Mann–Whitney test, p < 0.05 (*).
Table 4. Categorized level of internet addiction in both countries by sex of students.
Table 4. Categorized level of internet addiction in both countries by sex of students.
Level of Internet Addiction on the InternetSex
Women (p = 0.1452)Men (p = 0.1855)
PolandPortugalPolandPortugal
Low116 (89.9%)96 (81.4%)84 (84.0%)38 (74.5%)
Average12 (9.3%)21 (17.8%)16 (16.0%)12 (23.5%)
High1 (0.8%)1 (0.8%)0 (0.0%)1 (2.0%)
p-test probability value calculated by means of the chi-squared independence test.
Table 5. COVID-19 disease and internet addiction.
Table 5. COVID-19 disease and internet addiction.
SexCOVID-19 Disease and Internet Addiction
PolandPortugal
Women0.19 (p = 0.0302 *)0.11 (p = 0.2282)
Men0.19 (p = 0.0572)0.23 (p = 0.0992)
p < 0.05 (*).
Table 6. Sex classification of IPAQ measures for both countries.
Table 6. Sex classification of IPAQ measures for both countries.
Activity LevelSex
Women (p = 0.0000 ***)Men (p = 0.6395)
PolandPortugalPolandPortugal
High55 (42.6%)32 (27.1%)59 (59.0%)26 (51.0%)
Average30 (23.3%)67 (56.8%)30 (30.0%)18 (35.3%)
Low44 (34.1%)19 (16.1%)11 (11.0%)7 (13.7%)
p-test probability value calculated by means of the chi-squared independence test, p < 0.001 (***).
Table 7. Internet addiction and measures of physical activity.
Table 7. Internet addiction and measures of physical activity.
IPAQMeasure of Internet Addiction
PolandPortugal
Women
Intense effort0.17 (p = 0.0539)0.27 (p = 0.0036 **)
Moderate effort0.08 (p = 0.3585)0.11 (p = 0.2388)
Walking0.04 (p = 0.6346)0.25 (p = 0.0072 **)
Total effort0.12 (p = 0.1864)0.22 (p = 0.0164 *)
Men
Intense effort0.23 (p = 0.0191 *)0.23 (p = 0.1103)
Moderate effort0.18 (p = 0.0756)0.22 (p = 0.1296)
Walking0.18 (p = 0.0753)0.14 (p = 0.3430)
Total effort0.21 (p = 0.0367 *)0.21 (p = 0.1357)
Spearman’s coefficient of correlation (with assessment of its statistical significance), p < 0.05 (*), p < 0.01 (**), IPAQ—international physical activity questionnaire.
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MDPI and ACS Style

Zalewska, A.; Gałczyk, M.; Sobolewski, M.; Fernandes, H. Internet Addiction and Physical Activity among Polish and Portuguese Students in the Final Year of the COVID-19 Pandemic. J. Clin. Med. 2023, 12, 5204. https://doi.org/10.3390/jcm12165204

AMA Style

Zalewska A, Gałczyk M, Sobolewski M, Fernandes H. Internet Addiction and Physical Activity among Polish and Portuguese Students in the Final Year of the COVID-19 Pandemic. Journal of Clinical Medicine. 2023; 12(16):5204. https://doi.org/10.3390/jcm12165204

Chicago/Turabian Style

Zalewska, Anna, Monika Gałczyk, Marek Sobolewski, and Hélder Fernandes. 2023. "Internet Addiction and Physical Activity among Polish and Portuguese Students in the Final Year of the COVID-19 Pandemic" Journal of Clinical Medicine 12, no. 16: 5204. https://doi.org/10.3390/jcm12165204

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