Klinik Araştırma
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Can Awareness Programs Reduce Technology Addiction During the Covid-19 Pandemic? A Quasi-Experimental Study

Yıl 2025, Cilt: 4 Sayı: 1, 29 - 44, 30.04.2025

Öz

Introduction: The restrictions experienced during the COVID-19 pandemic can cause various problems, such as increased technology addiction. We aimed to examine the impact of an awareness program on university students' free time management and their use of technology.
Methods: This quasi-experimental study was conducted with a total of 77 university students of the faculty of nursing, 40 of whom were in the intervention group and 37 in the control group. Data were collected with the Sociodemographic Characteristic Form, Technology Addiction Scale, and Free Time Management Scale. We used chi-square, student t-tests, analysis of variance, and Bonferroni tests in the data evaluation.
Results: It was found that there was a statistically significant difference between mean time spent in social networks and instant messaging applications between intervention and control groups. The Technology Addiction Scale pre-test and post-test mean scores of the intervention group showed a statistically significant difference.
Conclusions: The participants' level of technology addiction decreased with the awareness program. Giving students awareness education can reduce technology addiction and create more effective free time management. When students are directed to hobbies and can use their free time more effectively, the time they spend on technology decreases.

Kaynakça

  • Akgul, B.M., & Karakucuk S. (2015). Free time management scale: Validity and reliability analysis Free Time Management Scale. Journal of Human Sciences, 12(2):1867-1880. http://dx.doi.org/10.14687/ijhs.v12i2.3445
  • Alzahrani, A.I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2017). Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telemat Inform, 34(4): 239-251. http://dx.doi.org/10.1016/j.tele.2016.07.001
  • American Psychiatric Association. (2013). DSM-5 - Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Washington, DC: American Psychiatric Association.
  • Arslan, A. (2020). Determination of the Digital Addiction Levels of Students University According to Various Variables. International e-Journal of Educational Studies, 4(7): 27-41. http://dx.doi.org/10.31458/iejes.600483
  • Aydin, F., & Simsek, N. Student Views About Relating to The Problems in the Class Environment Created by Technology Addiction. [dissertation on the internet]. Ankara University; 2017. [cited 2023 July 7]. Available from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=0Dhi-nmIkuepzDOucQVAYw&no=slq4qnK7FeaHT7WRVJK9hA
  • Błachnio, A., Przepiorka, A., Senol-Durak, E., Durak, M., & Sherstyuk, L.(2017). The role of personality traits in Facebook and Internet addictions: A study on Polish, Turkish, and Ukrainian samples. Comput Human Behav, 68:269-275. http://dx.doi.org/10.1016/j.chb.2016.11.037
  • Busiol, D., & Lee, T.Y. (2015). Prevention of internet addiction: the PATHS program. In Student well-being in Chinese adolescents in Hong Kong. Springer, Singapore, 185-193.
  • Buyukozturk, S., Yılmaz, S., Ozbay, Y., Esici, H., Tomar, I.H., Aliyev, R., Hos, H.M., Senferah, S., Sarac, M.U., Ceyhan, G., & Akyılmaz, F.D. (2019). The effectiveness of addiction prevention training program of Turkey on improved acquisition of knowledge and emotional awareness about addiction. Addicta: The Turkish Journal on Addictions, 6(1): 115-131. http://dx.doi.org/10.15805/addicta.2019.6.1.0005
  • Ekti̇ri̇ci̇oglu, C., Arslantas, H., & Yuksel, R. (2020). The Disorder of the Era in Adolescents: Technology Addiction. Archives Medical Review Journal, 29(1): 51-64. http://dx.doi.org/10.17827/aktd.498947
  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID19 outbreak. PLoS One, 15(4). http://dx.doi.org/10.1371/journal.pone.0231924
  • Ho, S.S., Lwin, M.O., & Lee, E.W. (2017). Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults. Comput Human Behav, 75: 632-642.
  • Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1):1- 4. http://dx.doi.org/10.5817/CP2019-1-4
  • Kiraly, O., Potenza, M.N., Stein, D.J., King, D.L., Hodgins, D.C., Saunders, J.B., Griffiths, M.D., Gjoneska, B., Billieux, J., Brand, M., Abbott, M.W., Chamberlain, S.R., Corazzo, O., Burkauskas, J., Sales, C.M.D., Montag, C., Lochner, C., Grunblatt, E., Wegmann, E., Martinotti, G., & Demetrovics, Z. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Compr Psychiatry,100:1-12. https://doi.org/10.1016/j.comppsych.2020.152180
  • Kocaaslan, E.N., Akgun, K.M., Ozdilek, S., & Topcu, N. (2021). Internet Addiction and Academic Self-Efficacy Levels of Nursing Students. Turkiye Clinics Journal of Nursing Sciences, 13(3):1-12. http://dx.doi.org/10.5336/nurses.2020-79747
  • Majeed, M., Irshad, M., Fatima, T., Khan, J., & Hassan, M.M. (2020). Relationship Between Problematic Social Media Usage and Employee Depression: A Moderated Mediation Model of Mindfulness and Fear of COVID-19. Front Psychol, 11:557987. http://dx.doi.org/10.3389/fpsyg.2020.557987
  • Malinauskas, R., & Malinauskiene, V. (2019). A meta-analysis of psychological interventions for Internet/smartphone addiction among adolescents. J Behav Addict, 8(4): 613-624. http://dx.doi.org/10.1556/2006.8.2019.72
  • Marquez-Hernandez, V.V., Gutierrez-Puertas, L., Granados-Gamez, G., Gutierrez-Puertas, V., & Aguilera-Manrique, G. (2020). Problematic mobile phone use, nomophobia and decision-making in nursing students mobile and decision-making in nursing students. Nurse Educ Pract, 49: 102910.
  • Minaz, A., & Bozkurt, A.C. (2017). Investigation of university students smart phone addiction levels and usage purposes in terms of different variables. Mehmet Akif Ersoy Univ J Soc Sci Inst, 21(9):268–286. http://dx.doi.org/10.20875/makusobed.306903
  • Monacis, L., de Palo, V., Griffiths, M.D., & Sinatra, M. (2017). Exploring individual differences in online addictions: The role of identity and attachment. Int J Ment Health Addict, 15(4): 853-868. 15:853–868. http://dx.doi.org/10.1007/s11469-017-9768-5
  • Mondal, S.K., Hasan, M.N., & Paul, G.K. (2020). Psychological Behavior Change for Smartphone Addiction among University Students in Tangail, Bangladesh: An Experimental Study. Int J Sci Technol Res, 6(13):57-67. http://dx.doi.org/10.7176/JSTR/6-13-08
  • Nayak, S.G. (2019). Impact of Procrastination and Time-Management on Academic Stress among Undergraduate Nursing Students: A Cross Sectional Study. Int J Caring Sci. 2019; 12(3):1-10.
  • Ndubuaku, V., Inim, V., Ndudi, U.C., Samuel, U., & Prince, A.I. (2020). Effect of social networking technology addiction on academic performance of university students in Nigeria. IJRTE, 173-180. http://dx.doi.org/10.35940/ijrte.D8393.018520
  • Oksuz, E., Guvenc, G., & Mumcu, S. (2018). Relationship between problematic internet use and time management among nursing students. Comput Inform Nurs, 36(1). 55-61.
  • Olson, J.A., Sandra, D.A., Colucci, E.S., Al Bikaii, A., Chmoulevitch, D., Nahas, J., Raz, A., & Veissiere, S.P. (2022). Smartphone addiction is increasing across the world: A meta-analysis of 24 countries. Comput Human Behav, 129: 107138. https://doi.org/10.1016/j.chb.2021.107138
  • Orhon, F., Ergin, A., Topcu, S., Colak, B., Almis, H., Durmaz, N., Aygun, B., Boran, P., Bag, O., Aycicek, T., Altun, D., & Baskan, S. (2023). The role of social support on the relationships between internet use and sleep problems in adolescents during COVID‐19 pandemic: a multicentre study. Child Adolesc Ment Health, 28(1): 117-123. https://doi.org/10.1111/camh.12626
  • Osorio-Molina, C., Martos-Cabrera, M.B., Membrive-Jimenez, M.J., Vargas-Roman, K., Suleiman-Martos, N., Ortega-Campos, E., & Gomez-Urquiza, J.L. (2021). Smartphone addiction, risk factors and its adverse effects in nursing students: A systematic review and meta-analysis. Nurse Educ Today, 98: 104741. https://doi.org/10.1016/j.nedt.2020.104741
  • Özlü, N.,G.,Ö., Duyar, E., Dağdelen, S., Ertan, E., & Ulaş, A. (2024).Investigation of the relationship between carbon monxide and nicotine addiction levels in nursing students. Journal of Healthcare and Rehabilitation, 3(3), 1-8.
  • Potas, N., Acikalin, S.N., Ercetin, S.S., Kocturk, N., Neyisci, N., Cevik, M.S., & Gorgulu D. (2022). Technology addiction of adolescents in the COVID-19 era: Mediating effect of attitude on awareness and behavior. Curr Psychol, 41(4): 1687-1703. https://doi.org/10.1007/s12144-021-01470-8
  • Schafer, K.M., Lieberman, A., Sever, A.C., & Joiner, T. (2022). Prevalence rates of anxiety, depressive, and eating pathology symptoms between the pre-and peri-COVID-19 eras: A meta-analysis. J Affect Disord, 298: 364-372. 10.1016/j.jad.2021.10.115
  • Tang, J.H., Chen, M.C., Yang, C.Y., Chung, T.Y., & Lee, Y.A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telemat Inform, 33(1): 102-108. http://dx.doi.org/10.1016/j.tele.2015.06.003
  • Turkish Statistical Instute (TUIK). (2021). Available from https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2021-37437 Accessed 13.10.2022 Bülten no:37437
  • Turkish Statistical Instute (TUIK). (2021). Available from https://data.tuik.gov.tr/Bulten/Index?p=Cocuklarda-Bilisim-Teknolojileri-Kullanim-Arastirmasi-2021-41132 Accessed 13.10.2022 Bülten no: 41132
  • Uysal, G., & Balci, S. (2018). Evaluation of a school-based program for Internet addiction of adolescents in Turkey. J Addict Nurs, 29(1): 43-49.
  • Van Rooij, A., & Prause, N. (2014). A critical review of “Internet addiction” criteria with suggestions for the future. J Behav Addict, 3(4): 203-213.
  • Wang, W.C., Kao, C.H., Huan, T.C., & Wu, C.C. (2011). Free Time Management Contributes to Better Quality of Life: A Study of Undergraduate Students in Taiwan. J Happiness Stud, 2(4):561-573.
  • Yanık, D., & Arslan, R. (2023). Efficacy of technology addiction awareness training given to high school students: Randomized controlled experimental study. OPUS Journal of society research, 20(54): 518-528.

Farkındalık Programları Covid-19 Pandemisinde Teknoloji Bağımlılığını Azaltabilir mi? Yarı Deneysel Bir Çalışma

Yıl 2025, Cilt: 4 Sayı: 1, 29 - 44, 30.04.2025

Öz

Giriş: COVID-19 pandemisi sırasında yaşanan kısıtlamalar, teknoloji bağımlılığının artması gibi çeşitli sorunlara neden olabilir. Bu çalışmada farkındalık programının üniversite öğrencilerinin boş zaman yönetimi ve teknoloji kullanımına etkisini incelemek amaçlanmıştır.
Yöntem: Bu yarı deneysel çalışma, hemşirelik fakültesinde öğrenim gören toplam 77 üniversite öğrencisi ile, 40'ı girişim grubunda ve 37'si kontrol grubunda olmak üzere gerçekleştirilmiştir. Veriler, Sosyodemografik Özellikler Formu, Teknoloji Bağımlılığı Ölçeği ve Boş Zaman Yönetimi Ölçeği ile toplanmıştır. Veri değerlendirmesinde ki-kare, bağımsız t-testleri, varyans analizi ve Bonferroni testleri kullanılmıştır.
Bulgular: Girişim ve kontrol grupları arasında sosyal ağlarda ve anlık mesajlaşma uygulamalarında geçirilen ortalama süreler arasında istatistiksel olarak anlamlı bir fark olduğu bulunmuştur. Girişim grubunun Teknoloji Bağımlılığı Ölçeği ön test ve son test ortalama puanları arasında istatistiksel olarak anlamlı bir fark göstermiştir.
Sonuçlar: Katılımcıların teknoloji bağımlılığı düzeyi farkındalık programı ile azalmıştır. Öğrencilere farkındalık eğitimi vermek, teknoloji bağımlılığını azaltabilir ve daha etkili bir boş zaman yönetimi oluşturabilir. Öğrenciler hobilerine yönlendirildiğinde ve boş zamanlarını daha etkili bir şekilde kullanabildiklerinde, teknolojiye harcadıkları zamanın azaldığı sonucuna varılmıştır.

Kaynakça

  • Akgul, B.M., & Karakucuk S. (2015). Free time management scale: Validity and reliability analysis Free Time Management Scale. Journal of Human Sciences, 12(2):1867-1880. http://dx.doi.org/10.14687/ijhs.v12i2.3445
  • Alzahrani, A.I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2017). Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telemat Inform, 34(4): 239-251. http://dx.doi.org/10.1016/j.tele.2016.07.001
  • American Psychiatric Association. (2013). DSM-5 - Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Washington, DC: American Psychiatric Association.
  • Arslan, A. (2020). Determination of the Digital Addiction Levels of Students University According to Various Variables. International e-Journal of Educational Studies, 4(7): 27-41. http://dx.doi.org/10.31458/iejes.600483
  • Aydin, F., & Simsek, N. Student Views About Relating to The Problems in the Class Environment Created by Technology Addiction. [dissertation on the internet]. Ankara University; 2017. [cited 2023 July 7]. Available from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=0Dhi-nmIkuepzDOucQVAYw&no=slq4qnK7FeaHT7WRVJK9hA
  • Błachnio, A., Przepiorka, A., Senol-Durak, E., Durak, M., & Sherstyuk, L.(2017). The role of personality traits in Facebook and Internet addictions: A study on Polish, Turkish, and Ukrainian samples. Comput Human Behav, 68:269-275. http://dx.doi.org/10.1016/j.chb.2016.11.037
  • Busiol, D., & Lee, T.Y. (2015). Prevention of internet addiction: the PATHS program. In Student well-being in Chinese adolescents in Hong Kong. Springer, Singapore, 185-193.
  • Buyukozturk, S., Yılmaz, S., Ozbay, Y., Esici, H., Tomar, I.H., Aliyev, R., Hos, H.M., Senferah, S., Sarac, M.U., Ceyhan, G., & Akyılmaz, F.D. (2019). The effectiveness of addiction prevention training program of Turkey on improved acquisition of knowledge and emotional awareness about addiction. Addicta: The Turkish Journal on Addictions, 6(1): 115-131. http://dx.doi.org/10.15805/addicta.2019.6.1.0005
  • Ekti̇ri̇ci̇oglu, C., Arslantas, H., & Yuksel, R. (2020). The Disorder of the Era in Adolescents: Technology Addiction. Archives Medical Review Journal, 29(1): 51-64. http://dx.doi.org/10.17827/aktd.498947
  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID19 outbreak. PLoS One, 15(4). http://dx.doi.org/10.1371/journal.pone.0231924
  • Ho, S.S., Lwin, M.O., & Lee, E.W. (2017). Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults. Comput Human Behav, 75: 632-642.
  • Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1):1- 4. http://dx.doi.org/10.5817/CP2019-1-4
  • Kiraly, O., Potenza, M.N., Stein, D.J., King, D.L., Hodgins, D.C., Saunders, J.B., Griffiths, M.D., Gjoneska, B., Billieux, J., Brand, M., Abbott, M.W., Chamberlain, S.R., Corazzo, O., Burkauskas, J., Sales, C.M.D., Montag, C., Lochner, C., Grunblatt, E., Wegmann, E., Martinotti, G., & Demetrovics, Z. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Compr Psychiatry,100:1-12. https://doi.org/10.1016/j.comppsych.2020.152180
  • Kocaaslan, E.N., Akgun, K.M., Ozdilek, S., & Topcu, N. (2021). Internet Addiction and Academic Self-Efficacy Levels of Nursing Students. Turkiye Clinics Journal of Nursing Sciences, 13(3):1-12. http://dx.doi.org/10.5336/nurses.2020-79747
  • Majeed, M., Irshad, M., Fatima, T., Khan, J., & Hassan, M.M. (2020). Relationship Between Problematic Social Media Usage and Employee Depression: A Moderated Mediation Model of Mindfulness and Fear of COVID-19. Front Psychol, 11:557987. http://dx.doi.org/10.3389/fpsyg.2020.557987
  • Malinauskas, R., & Malinauskiene, V. (2019). A meta-analysis of psychological interventions for Internet/smartphone addiction among adolescents. J Behav Addict, 8(4): 613-624. http://dx.doi.org/10.1556/2006.8.2019.72
  • Marquez-Hernandez, V.V., Gutierrez-Puertas, L., Granados-Gamez, G., Gutierrez-Puertas, V., & Aguilera-Manrique, G. (2020). Problematic mobile phone use, nomophobia and decision-making in nursing students mobile and decision-making in nursing students. Nurse Educ Pract, 49: 102910.
  • Minaz, A., & Bozkurt, A.C. (2017). Investigation of university students smart phone addiction levels and usage purposes in terms of different variables. Mehmet Akif Ersoy Univ J Soc Sci Inst, 21(9):268–286. http://dx.doi.org/10.20875/makusobed.306903
  • Monacis, L., de Palo, V., Griffiths, M.D., & Sinatra, M. (2017). Exploring individual differences in online addictions: The role of identity and attachment. Int J Ment Health Addict, 15(4): 853-868. 15:853–868. http://dx.doi.org/10.1007/s11469-017-9768-5
  • Mondal, S.K., Hasan, M.N., & Paul, G.K. (2020). Psychological Behavior Change for Smartphone Addiction among University Students in Tangail, Bangladesh: An Experimental Study. Int J Sci Technol Res, 6(13):57-67. http://dx.doi.org/10.7176/JSTR/6-13-08
  • Nayak, S.G. (2019). Impact of Procrastination and Time-Management on Academic Stress among Undergraduate Nursing Students: A Cross Sectional Study. Int J Caring Sci. 2019; 12(3):1-10.
  • Ndubuaku, V., Inim, V., Ndudi, U.C., Samuel, U., & Prince, A.I. (2020). Effect of social networking technology addiction on academic performance of university students in Nigeria. IJRTE, 173-180. http://dx.doi.org/10.35940/ijrte.D8393.018520
  • Oksuz, E., Guvenc, G., & Mumcu, S. (2018). Relationship between problematic internet use and time management among nursing students. Comput Inform Nurs, 36(1). 55-61.
  • Olson, J.A., Sandra, D.A., Colucci, E.S., Al Bikaii, A., Chmoulevitch, D., Nahas, J., Raz, A., & Veissiere, S.P. (2022). Smartphone addiction is increasing across the world: A meta-analysis of 24 countries. Comput Human Behav, 129: 107138. https://doi.org/10.1016/j.chb.2021.107138
  • Orhon, F., Ergin, A., Topcu, S., Colak, B., Almis, H., Durmaz, N., Aygun, B., Boran, P., Bag, O., Aycicek, T., Altun, D., & Baskan, S. (2023). The role of social support on the relationships between internet use and sleep problems in adolescents during COVID‐19 pandemic: a multicentre study. Child Adolesc Ment Health, 28(1): 117-123. https://doi.org/10.1111/camh.12626
  • Osorio-Molina, C., Martos-Cabrera, M.B., Membrive-Jimenez, M.J., Vargas-Roman, K., Suleiman-Martos, N., Ortega-Campos, E., & Gomez-Urquiza, J.L. (2021). Smartphone addiction, risk factors and its adverse effects in nursing students: A systematic review and meta-analysis. Nurse Educ Today, 98: 104741. https://doi.org/10.1016/j.nedt.2020.104741
  • Özlü, N.,G.,Ö., Duyar, E., Dağdelen, S., Ertan, E., & Ulaş, A. (2024).Investigation of the relationship between carbon monxide and nicotine addiction levels in nursing students. Journal of Healthcare and Rehabilitation, 3(3), 1-8.
  • Potas, N., Acikalin, S.N., Ercetin, S.S., Kocturk, N., Neyisci, N., Cevik, M.S., & Gorgulu D. (2022). Technology addiction of adolescents in the COVID-19 era: Mediating effect of attitude on awareness and behavior. Curr Psychol, 41(4): 1687-1703. https://doi.org/10.1007/s12144-021-01470-8
  • Schafer, K.M., Lieberman, A., Sever, A.C., & Joiner, T. (2022). Prevalence rates of anxiety, depressive, and eating pathology symptoms between the pre-and peri-COVID-19 eras: A meta-analysis. J Affect Disord, 298: 364-372. 10.1016/j.jad.2021.10.115
  • Tang, J.H., Chen, M.C., Yang, C.Y., Chung, T.Y., & Lee, Y.A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telemat Inform, 33(1): 102-108. http://dx.doi.org/10.1016/j.tele.2015.06.003
  • Turkish Statistical Instute (TUIK). (2021). Available from https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2021-37437 Accessed 13.10.2022 Bülten no:37437
  • Turkish Statistical Instute (TUIK). (2021). Available from https://data.tuik.gov.tr/Bulten/Index?p=Cocuklarda-Bilisim-Teknolojileri-Kullanim-Arastirmasi-2021-41132 Accessed 13.10.2022 Bülten no: 41132
  • Uysal, G., & Balci, S. (2018). Evaluation of a school-based program for Internet addiction of adolescents in Turkey. J Addict Nurs, 29(1): 43-49.
  • Van Rooij, A., & Prause, N. (2014). A critical review of “Internet addiction” criteria with suggestions for the future. J Behav Addict, 3(4): 203-213.
  • Wang, W.C., Kao, C.H., Huan, T.C., & Wu, C.C. (2011). Free Time Management Contributes to Better Quality of Life: A Study of Undergraduate Students in Taiwan. J Happiness Stud, 2(4):561-573.
  • Yanık, D., & Arslan, R. (2023). Efficacy of technology addiction awareness training given to high school students: Randomized controlled experimental study. OPUS Journal of society research, 20(54): 518-528.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Halk Sağlığı Hemşireliği
Bölüm Araştırma Makalesi
Yazarlar

Burcu Cengiz 0000-0003-1753-7720

Kübra Pınar Gürkan 0000-0002-0279-8189

Yayımlanma Tarihi 30 Nisan 2025
Gönderilme Tarihi 21 Ocak 2025
Kabul Tarihi 7 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 4 Sayı: 1

Kaynak Göster

APA Cengiz, B., & Gürkan, K. P. (2025). Can Awareness Programs Reduce Technology Addiction During the Covid-19 Pandemic? A Quasi-Experimental Study. Sağlık Bakım ve Rehabilitasyon Dergisi, 4(1), 29-44.