Virtual Social Networks Addiction and High-Risk Group among Health Science Students in Iran: A Latent Class Analysis

Kecanduan Jejaring Sosial Virtual dan Kelompok Berisiko Tinggi pada Mahasiswa Ilmu Kesehatan di Iran: Sebuah Analisis Kelas Laten

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ID: 275681
2022
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Abstract
Background and purpose: Virtual social networks (VSNs) are among the most popular communication paths that have become an integral part of most people's lives, including students. This study aimed to investigate the prevalence of VSNs addiction and their related factors, and identify the patterns of addictive-related factors among the students in Kerman, Iran in 2019. Materials and Methods: This cross-sectional study was conducted on 400 students from Kerman University of Medical Sciences. The study instrument was a standardized questionnaire. Descriptive analysis, logistic regression models, and latent class analysis were used to analyze the data. The data were analyzed using SPSS26, Stata12 and WinLTA (v. 3.1) software. Results: 50% of the participants were male, staying in dormitory. The number of individuals in the levels of education in the four groups was equal. Around 0.5% of the students were addicted and 36.5% were at the risk of addiction to VSNs. The most commonly used VSNs was the Telegram (76.8%), and most students (28.8%) spent between 2-3 hours a day on VSNs. In the multivariate model, using 1-2 hours (AOR = 3.33, 95% CI: 1.07 - 10.19),  2-3 hours (AOR = 7.33, 95% CI: 2.50 - 21.52) and more than 3 hours a day (AOR = 18.54, 95% CI: 6.05 - 56.8) of VSNs were associated with an increased odds of being at the risk of VSNs addiction. The Latent Class Analysis showed that high-risk addictive factors including using Telegram for entertainment, providing accommodation in the dormitory, and having a graduate degree significantly influenced the classification. Conclusion: More than one-third of Kerman college students were found to be at the risk of VSNs addiction. Providing appropriate interventions including alternative activities as well as raising knowledge especially for undergraduate students is urgently needed.
Latar belakang dan tujuan: Jejaring sosial virtual (VSN) merupakan salah satu jalur komunikasi paling populer yang telah menjadi bagian tak terpisahkan dari kehidupan sebagian besar orang, termasuk mahasiswa. Penelitian ini bertujuan untuk menginvestigasi prevalensi kecanduan VSN dan faktor-faktor terkait, serta mengidentifikasi pola faktor-faktor terkait kecanduan di kalangan mahasiswa di Kerman, Iran pada tahun 2019. Bahan dan Metode: Penelitian potong-lintang (cross-sectional) ini dilakukan terhadap 400 mahasiswa dari Kerman University of Medical Sciences. Instrumen penelitian yang digunakan adalah kuesioner terstandarisasi. Analisis deskriptif, model regresi logistik, dan analisis kelas laten digunakan untuk menganalisis data. Data dianalisis menggunakan perangkat lunak SPSS26, Stata12, dan WinLTA (v. 3.1). Hasil: Sebanyak 50% partisipan berjenis kelamin laki-laki dan tinggal di asrama. Jumlah individu pada setiap jenjang pendidikan di keempat kelompok adalah setara. Sekitar 0,5% mahasiswa mengalami kecanduan dan 36,5% berisiko mengalami kecanduan VSN. VSN yang paling banyak digunakan adalah Telegram (76,8%), dan sebagian besar mahasiswa (28,8%) menghabiskan 2–3 jam per hari pada VSN. Dalam model multivariat, penggunaan VSN selama 1–2 jam (AOR = 3,33; 95% CI: 1,07–10,19), 2–3 jam (AOR = 7,33; 95% CI: 2,50–21,52), dan lebih dari 3 jam per hari (AOR = 18,54; 95% CI: 6,05–56,8) berhubungan dengan peningkatan rasio odds untuk berada pada risiko kecanduan VSN. Analisis Kelas Laten menunjukkan bahwa faktor risiko kecanduan tingkat tinggi yang meliputi penggunaan Telegram untuk hiburan, tinggal di asrama, dan menempuh pendidikan pascasarjana berpengaruh signifikan terhadap klasifikasi tersebut. Kesimpulan: Lebih dari sepertiga mahasiswa di Kerman ditemukan berisiko mengalami kecanduan VSN. Penyediaan intervensi yang tepat, termasuk kegiatan alternatif serta peningkatan kesadaran dan pengetahuan, khususnya bagi mahasiswa program sarjana, sangat dibutuhkan secara mendesak.
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Authors Torkian, Samaneh;Mohammadi, Neda Malek;Mohammadizadeh, Mehdi;Shahesmaeili, Armita;
Journal علوم بهداشتی ایران
Year 2022
DOI
DOI not found
URL
http://jhs.mazums.ac.ir/article-1-773-en.html
Keywords
Medicine (General) Medicine Engineering (General). Civil engineering (General) Information technology İslam communication. mass media control engineering systems. automatic machinery (general) islam. bahai faith. theosophy, etc. philosophy. psychology. religion international relations electricity

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