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2022: Two-year Impact Factor: 4.4
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CiteScore (2022): 5.3
SNIP(2022):1.389
SJR(2022): 0.78
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Health Promot Perspect. 2019;9(3): 207-213. doi: 10.15171/hpp.2019.29
PMID: 31508341        PMCID: PMC6717927

Original Article

Prevalence of problematic internet use disorder and associated risk factors and complications among Iranian university students: a national survey

Jalal Poorolajal 1,2,3 ORCID, Jamal Ahmadpoor 1 * ORCID, Younes Mohammadi 1,3,4 ORCID, Ali Reza Soltanian 3,5 ORCID, Seyedeh Zahra Asghari 6 ORCID, Ehsan Mazloumi 1 ORCID

Cited by CrossRef: 12


1- Wang J, Hao Q, Tu Y, Peng W, Wang Y, Li H, Zhu T. Assessing the Association Between Internet Addiction Disorder and Health Risk Behaviors Among Adolescents and Young Adults: A Systematic Review and Meta-Analysis. Front Public Health. 2022;10 [Crossref]
2- Sahlan R, Grunewald W, Smith A. Validations of the Farsi versions of the depressive symptom inventory suicidality subscale (F‐DSI‐SS) and suicide rumination scale (F‐SRS) among Iranian college students. Suicide & Life Threat Behav. 2023;53(1):16 [Crossref]
3- Elhami Athar M, Azamian Jazi E. Psychometric Properties of the Persian Version of Social Media Use Integration Scale (SMUIS). International Journal of Human–Computer Interaction. 2022;38(15):1480 [Crossref]
4- Mota D, Silva Y, Costa T, Aguiar M, Marques M, Monaquezi R. Saúde mental e uso de internet por estudantes universitários: estratégias de enfrentamento no contexto da COVID-19. Ciênc saúde coletiva. 2021;26(6):2159 [Crossref]
5- Rahman M, Saiful Islam M, Mamun M, Moonajilin M, Yi S. Prevalence and Factors Associated with Suicidal Ideation Among University Students in Bangladesh. Archives of Suicide Research. 2022;26(2):975 [Crossref]
6- Arafat S, Baminiwatta A, Menon V, Singh R, Varadharajan N, Guhathakurta S, Mahesar R, Rezaeian M. Prevalence of suicidal behaviour among students living in Muslim-majority countries: systematic review and meta-analysis. BJPsych open. 2023;9(3) [Crossref]
7- Salama B. Prevalence and associated factors of Internet addiction among undergraduate students at Al-Beheira Governorate, Egypt. Int J Public Health. 2020;65(6):905 [Crossref]
8- Barati M, Bashirian S, Jormand H, Babamiri M, Rezapur-Shahkolai F. Can substance abuse media literacy increase prediction of drug use in students?. BMC Psychol. 2022;10(1) [Crossref]
9- Duc T, Chi V, Huyen N, Quang P, Thuy B, Nguyen Di K. Growing propensity of internet addiction among Asian college students: meta-analysis of pooled prevalence from 39 studies with over 50,000 participants. Public Health. 2024;227:250 [Crossref]
10- Ahmed M, Khan S, Hsan K, Sen L, Yunus F, Griffiths M. Factors Affecting Sleep Quality Among the University Students in Bangladesh: A Cross-Sectional Structured Interview Study. Sleep Vigilance. 2020;4(2):177 [Crossref]
11- Verma P, Vasudevan V, Kashyap B, Samsudeen T, Meghvansi M, Kamboj D, Singh L. DIRECT LYSIS GLASS MILK METHOD OF GENOMIC DNA EXTRACTION REVEALS GREATER ARCHAEAL DIVERSITY IN ANAEROBIC BIODIGESTER SLURRY AS ASSESSED THROUGH DENATURING GRADIENT GEL ELECTROPHORESIS. JEBAS. 2018;6(2):315 [Crossref]
12- Akbari M, Bahadori M, Mohammadkhani S, Kolubinski D, Nikčević A, Spada M. A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students. Addictive Behaviors Reports. 2021;14:100354 [Crossref]
13- Rouvinen H, Jokiniemi K, Sormunen M, Turunen H. Internet use and health in higher education students: a scoping review. 2021;36(6):1610 [Crossref]
14- Tan Y, Deng J, Zhang D, Peng C, Peng A. Social anxiety and suicidal ideation among middle-school students in China: a mediation model of internet addiction. Front Psychiatry. 2024;14 [Crossref]

Indexing and Abstracting

2-year Impact Factor: 4.4

  


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