Araştırma Makalesi
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Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students

Yıl 2025, Cilt: 23 Sayı: 1, 69 - 79, 25.04.2025

Azam Mohammadi , Farzaneh Khodabandeh , Hadis Nazari , Batool Soleimannezhad , Ellahe Bahrami-vazir

Öz

Objective: Social media addiction (SMA) among male and female students is different and influenced by different factors. This study was conducted to investigate the predictors of SMA in male and female first-year medical sciences students of Ilam-Iran.
Method: In this descriptive cross-sectional study, 286 male and female first-year students living in dormitories entered the study in 2022 by cluster random sampling method. The data collection tools included demographic characteristics, activity in social medias, and smartphone addiction based on social media usage. The data were analyzed using SPSS software. Independent t-test and the general linear model were used.
Results: The mean ± SD of the overall score of SMA in females was lower than males, but there was no statistical difference (59.4 ± 18.8 vs. 63.3 ± 16.3, P=0.063). Both groups were in the range of normal users of social media. Females and males had statistically significant differences in subdomains of individual performance and social communication (P ≤ 0.001). Instagram was the most commonly used social media and female used Instagram less than male (45% vs. 48%, P>0.001). In both groups, use of social media in clinical settings, also in male amount of daily activity in social media were predictors of SMA.
Conclusion: Students were in the range of normal users of social media, but they were active in social media in clinical settings and Instagram was the most commonly used social media. Education authorities should have appropriate planning to correct use of , social media in clinical settings.

Anahtar Kelimeler

Addiction Smartphone Social Media Student

Kaynakça

  • Ebrahimpour A, Rajabali F, Yazdanfar F, et al. Social Network Sites as Educational Factors. ACTA INFORM MED. 2016;24(2):134-8.
  • Torkian S, Malek-Mohammadi N, Mohammadizadeh M, Shahesmaeili A. Virtual social networks addiction and high-risk group among health science students in Iran: a latent class analysis. Iran J Health Sci 2022;10(1):1-9.
  • Aparicio Martínez P, Ruiz-Rubio M, Perea-Moreno A-J, et al. Gender differences in the addiction to social networks in the Southern Spanish university students Author links open overlay panel. Telematics and Informatics. 2020;46: 101304.
  • Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS drugs. 2008;22(5):353-65.
  • Salarvand S, N-Albatineh A, Dalvand S, Baghban-Karimi E, Ghanei-Gheshlagh R. Prevalence of Internet Addiction Among Iranian University Students: A Systematic Review and Meta-analysis. Cyberpsychol Behav Soc Netw. 2022;25(4):213-22.
  • Lozano-Blasco R, Latorre-Cosculluela C, Quílez-Robres A. Social Network Addiction and Its Impact on Anxiety Level among University Students Sustainability. 2020;12(13):5397.
  • Azizi S-M, Soroush A, Khatony A. The relationship between social networking addiction and academic performance in Ira-nian students of medical sciences: a cross-sectional study. BMC Psychol. 2019;7(28):1-8.
  • Mane D, Salunkhe D, Batta D, Agarkhedkar D, Kumar D, Bharaswadkar D. Internet addiction in school going adolescents of different socio economic classes in Western India. Pediatr Rev Int J Pediatr Res. 2018;5:60-5.
  • Zhong Y, Ma H, Liang Y-F, Liao C-J, Zhang C-C, Jiang W-J. Prevalence of smartphone addiction among Asian medical stu-dents: A meta-analysis of multinational observational studies. Int J Soc Psychiatry. 2022;86(6):1171-83.
  • Kayri M, Günüç S. Comparing internet addiction in students with high and low socioeconomic status levels. Addicta Turk-ish J Addict. 2016;3:165-83.
  • Abbaspour S, Abbasi-Asfjir A, Rahmani-Firoozjah A. Meta-analysis of studies on dormitory life in Iran. Iranian Journal of Educational Sociology. 2021;4(3):148-18.
  • Lepp A, Barkley J-E, Karpinski A-C. The relationship between cell phone use and academic performance in a sample of u.s. college students. SAGE Open. 2015;5(1):1-9.
  • Tang C, Koh Y. Online social networking addiction among college students in Singapore: Comorbidity with behavioral ad-diction and affective disorder. Asian J Psychiatr. 2017;25:175-8.
  • Mohammadi S, Valinejadi A, Amini-Samanm J, et al. Assessment of addiction to internet, smartphone and social networks among students of medical sciences: a cross sectional study. Electronic Journal of General Medicine 2018;15(4):1-9.
  • Barnes S-J, Pressey A-D, Scornavacca E. Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Computers in Human Behavior. 2019;90:246-58.
  • Salari N, Zarei H, Hosseinian-Far A, Rasoulpoor S, Shohaimi S, Mohammadi M. The global prevalence of social media ad-diction among university students: a systematic review and meta-analysis. Journal of Public Health. 2023;33:223-36.
  • Khajeahmadi M, Pooladi S, Bahreini M. Design and assessment of psychometric properties of the addiction to mobile questionnaire based on social networks. IJPN. 2016;4(4):43-51.
  • Tan K, Shin-Oe J, Dung -Hoang -Le M. How does gender relate to social skills? Exploring differences in social skills mind-sets, academics, and behaviors among high-school freshmen students. Psychology in the Schools. 2018;55(4):429-42.
  • Dabbagh-Ghazvini S, Khajehpour M. Gender differences in factors affecting academic performance of high school stu-dents. Procedia - Social and Behavioral Sciences. 2011;15:1040-5.
  • Roe-Clark M. Negotiating the freshman year: challenges and strategies among first-year college students. Journal of Col-lege Student Development 2005;46(3):296-316.
  • Zohourian A, Sajedi H, Yavary A. Popularity prediction of images and videos on Instagram. International Conference on Web Research (ICWR); Tehran, Iran 2018 4th
  • Plieger T, Groote O, Hensky R, et al. The association between sexism, self-sexualization, and the evaluation of sexy photos on instagram. Front Psychol. 2021;12(716417):1-11.
  • Doornwaard S-M, van-den E-R, Baams L. Lower psychological well-being and excessive sexual interest predict symptoms of compulsive use of sexually explicit internet material among adolescent boys. J Youth Adolesc. 2016;45(1):73-84.
  • Zewde E-A, Tolossa T, Tiruneh S-A, et al. Internet Addiction and Its Associated Factors Among African High School and University Students: Systematic Review and Meta-Analysis. Front Psychol. 2022;21(13):847274.
  • Saleck-Pay B, Hosseini S-H. Why do Students use Virtual Social Networks in Iran: a System Approach. Interdisciplinary Description of Complex Systems : INDECS,. 2013;11(1):108-22.
  • Dutkowska-Zuk -A, Hounsel -A, Morrill -A, Xiong -A, Chetty -M, Feamster -N. How and Why People Use Virtual Private Networks. USENIX Security Symposium. 2022 31(22):3451-65.
  • Di-Nicola M, Ferri V, Moccia L, et al. Gender differences and psychopathological features associated with addictive behav-iors in adolescents Front Psychiatr. 2017;8:2-11.
  • Suárez-Perdomo A, Ruiz-Alfonso Z, Garcés-Delgado Y. Profiles of undergraduates’ networks addiction: Difference in aca-demic procrastination and performance. Computers & Education. 2022;181(10445):1-10.
  • Krasnova H, Veltri N-F, Eling N, Buxmann P. Why men and women continue to use social networking sites: The role of gender differences Author links open overlay panel. The Journal of Strategic Information Systems. 2017;26(4):261-84.
  • Alkaabi S, Robert-Albion P, Redmond P. Social Network Misuse in the Classroom and Its Impact on Male Student Motiva-tion in UAE Tertiary Education. IAFOR Journal of Education 2017;5(SI).
  • Salehan M, Negahban A. Social networking on smartphones: When mobile phones become addictive. Computers in Hu-man Behavior. 2013;29(6):2632-9.

Yıl 2025, Cilt: 23 Sayı: 1, 69 - 79, 25.04.2025

Azam Mohammadi , Farzaneh Khodabandeh , Hadis Nazari , Batool Soleimannezhad , Ellahe Bahrami-vazir

Öz

Kaynakça

  • Ebrahimpour A, Rajabali F, Yazdanfar F, et al. Social Network Sites as Educational Factors. ACTA INFORM MED. 2016;24(2):134-8.
  • Torkian S, Malek-Mohammadi N, Mohammadizadeh M, Shahesmaeili A. Virtual social networks addiction and high-risk group among health science students in Iran: a latent class analysis. Iran J Health Sci 2022;10(1):1-9.
  • Aparicio Martínez P, Ruiz-Rubio M, Perea-Moreno A-J, et al. Gender differences in the addiction to social networks in the Southern Spanish university students Author links open overlay panel. Telematics and Informatics. 2020;46: 101304.
  • Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS drugs. 2008;22(5):353-65.
  • Salarvand S, N-Albatineh A, Dalvand S, Baghban-Karimi E, Ghanei-Gheshlagh R. Prevalence of Internet Addiction Among Iranian University Students: A Systematic Review and Meta-analysis. Cyberpsychol Behav Soc Netw. 2022;25(4):213-22.
  • Lozano-Blasco R, Latorre-Cosculluela C, Quílez-Robres A. Social Network Addiction and Its Impact on Anxiety Level among University Students Sustainability. 2020;12(13):5397.
  • Azizi S-M, Soroush A, Khatony A. The relationship between social networking addiction and academic performance in Ira-nian students of medical sciences: a cross-sectional study. BMC Psychol. 2019;7(28):1-8.
  • Mane D, Salunkhe D, Batta D, Agarkhedkar D, Kumar D, Bharaswadkar D. Internet addiction in school going adolescents of different socio economic classes in Western India. Pediatr Rev Int J Pediatr Res. 2018;5:60-5.
  • Zhong Y, Ma H, Liang Y-F, Liao C-J, Zhang C-C, Jiang W-J. Prevalence of smartphone addiction among Asian medical stu-dents: A meta-analysis of multinational observational studies. Int J Soc Psychiatry. 2022;86(6):1171-83.
  • Kayri M, Günüç S. Comparing internet addiction in students with high and low socioeconomic status levels. Addicta Turk-ish J Addict. 2016;3:165-83.
  • Abbaspour S, Abbasi-Asfjir A, Rahmani-Firoozjah A. Meta-analysis of studies on dormitory life in Iran. Iranian Journal of Educational Sociology. 2021;4(3):148-18.
  • Lepp A, Barkley J-E, Karpinski A-C. The relationship between cell phone use and academic performance in a sample of u.s. college students. SAGE Open. 2015;5(1):1-9.
  • Tang C, Koh Y. Online social networking addiction among college students in Singapore: Comorbidity with behavioral ad-diction and affective disorder. Asian J Psychiatr. 2017;25:175-8.
  • Mohammadi S, Valinejadi A, Amini-Samanm J, et al. Assessment of addiction to internet, smartphone and social networks among students of medical sciences: a cross sectional study. Electronic Journal of General Medicine 2018;15(4):1-9.
  • Barnes S-J, Pressey A-D, Scornavacca E. Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Computers in Human Behavior. 2019;90:246-58.
  • Salari N, Zarei H, Hosseinian-Far A, Rasoulpoor S, Shohaimi S, Mohammadi M. The global prevalence of social media ad-diction among university students: a systematic review and meta-analysis. Journal of Public Health. 2023;33:223-36.
  • Khajeahmadi M, Pooladi S, Bahreini M. Design and assessment of psychometric properties of the addiction to mobile questionnaire based on social networks. IJPN. 2016;4(4):43-51.
  • Tan K, Shin-Oe J, Dung -Hoang -Le M. How does gender relate to social skills? Exploring differences in social skills mind-sets, academics, and behaviors among high-school freshmen students. Psychology in the Schools. 2018;55(4):429-42.
  • Dabbagh-Ghazvini S, Khajehpour M. Gender differences in factors affecting academic performance of high school stu-dents. Procedia - Social and Behavioral Sciences. 2011;15:1040-5.
  • Roe-Clark M. Negotiating the freshman year: challenges and strategies among first-year college students. Journal of Col-lege Student Development 2005;46(3):296-316.
  • Zohourian A, Sajedi H, Yavary A. Popularity prediction of images and videos on Instagram. International Conference on Web Research (ICWR); Tehran, Iran 2018 4th
  • Plieger T, Groote O, Hensky R, et al. The association between sexism, self-sexualization, and the evaluation of sexy photos on instagram. Front Psychol. 2021;12(716417):1-11.
  • Doornwaard S-M, van-den E-R, Baams L. Lower psychological well-being and excessive sexual interest predict symptoms of compulsive use of sexually explicit internet material among adolescent boys. J Youth Adolesc. 2016;45(1):73-84.
  • Zewde E-A, Tolossa T, Tiruneh S-A, et al. Internet Addiction and Its Associated Factors Among African High School and University Students: Systematic Review and Meta-Analysis. Front Psychol. 2022;21(13):847274.
  • Saleck-Pay B, Hosseini S-H. Why do Students use Virtual Social Networks in Iran: a System Approach. Interdisciplinary Description of Complex Systems : INDECS,. 2013;11(1):108-22.
  • Dutkowska-Zuk -A, Hounsel -A, Morrill -A, Xiong -A, Chetty -M, Feamster -N. How and Why People Use Virtual Private Networks. USENIX Security Symposium. 2022 31(22):3451-65.
  • Di-Nicola M, Ferri V, Moccia L, et al. Gender differences and psychopathological features associated with addictive behav-iors in adolescents Front Psychiatr. 2017;8:2-11.
  • Suárez-Perdomo A, Ruiz-Alfonso Z, Garcés-Delgado Y. Profiles of undergraduates’ networks addiction: Difference in aca-demic procrastination and performance. Computers & Education. 2022;181(10445):1-10.
  • Krasnova H, Veltri N-F, Eling N, Buxmann P. Why men and women continue to use social networking sites: The role of gender differences Author links open overlay panel. The Journal of Strategic Information Systems. 2017;26(4):261-84.
  • Alkaabi S, Robert-Albion P, Redmond P. Social Network Misuse in the Classroom and Its Impact on Male Student Motiva-tion in UAE Tertiary Education. IAFOR Journal of Education 2017;5(SI).
  • Salehan M, Negahban A. Social networking on smartphones: When mobile phones become addictive. Computers in Hu-man Behavior. 2013;29(6):2632-9.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Azam Mohammadi 0000-0002-8477-0939

Farzaneh Khodabandeh 0000-0002-8264-1316

Hadis Nazari 0000-0003-0603-4423

Batool Soleimannezhad 0000-0003-4849-3724

Ellahe Bahrami-vazir 0000-0001-7542-0972

Erken Görünüm Tarihi 20 Nisan 2025
Yayımlanma Tarihi 25 Nisan 2025
Gönderilme Tarihi 31 Ağustos 2024
Kabul Tarihi 12 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 23 Sayı: 1

Kaynak Göster

APA Mohammadi, A., Khodabandeh, F., Nazari, H., Soleimannezhad, B., vd. (2025). Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students. Turkish Journal of Public Health, 23(1), 69-79. https://doi.org/10.20518/tjph.1538978
AMA Mohammadi A, Khodabandeh F, Nazari H, Soleimannezhad B, Bahrami-vazir E. Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students. TJPH. Nisan 2025;23(1):69-79. doi:10.20518/tjph.1538978
Chicago Mohammadi, Azam, Farzaneh Khodabandeh, Hadis Nazari, Batool Soleimannezhad, ve Ellahe Bahrami-vazir. “Predictors of Addiction to Smartphone Social Networks in Iranian First-Year Medical Sciences Students”. Turkish Journal of Public Health 23, sy. 1 (Nisan 2025): 69-79. https://doi.org/10.20518/tjph.1538978.
EndNote Mohammadi A, Khodabandeh F, Nazari H, Soleimannezhad B, Bahrami-vazir E (01 Nisan 2025) Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students. Turkish Journal of Public Health 23 1 69–79.
IEEE A. Mohammadi, F. Khodabandeh, H. Nazari, B. Soleimannezhad, ve E. Bahrami-vazir, “Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students”, TJPH, c. 23, sy. 1, ss. 69–79, 2025, doi: 10.20518/tjph.1538978.
ISNAD Mohammadi, Azam vd. “Predictors of Addiction to Smartphone Social Networks in Iranian First-Year Medical Sciences Students”. Turkish Journal of Public Health 23/1 (Nisan 2025), 69-79. https://doi.org/10.20518/tjph.1538978.
JAMA Mohammadi A, Khodabandeh F, Nazari H, Soleimannezhad B, Bahrami-vazir E. Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students. TJPH. 2025;23:69–79.
MLA Mohammadi, Azam vd. “Predictors of Addiction to Smartphone Social Networks in Iranian First-Year Medical Sciences Students”. Turkish Journal of Public Health, c. 23, sy. 1, 2025, ss. 69-79, doi:10.20518/tjph.1538978.
Vancouver Mohammadi A, Khodabandeh F, Nazari H, Soleimannezhad B, Bahrami-vazir E. Predictors of addiction to smartphone social networks in Iranian first-year medical sciences students. TJPH. 2025;23(1):69-7.
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