ArticleBMC psychiatry2024
The role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran.
Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The 'hand-brain-emotion' axis: a theoretical model for handicraft art-based intervention in anxiety disorders through neuroplasticity and autonomic regulation.Frontiers in psychology · 2026Review
- Resilience as a predictor of internet addictive behaviours: a study among Ghanaian and Saudi samples using structural equation modelling approach.BMC psychology · 2025Article
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5 authors.
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Abstract
backgroundThe World Health Organization defines mental health as a combination of two dimensions: the negative dimension, or negative mental health, which indicates the presence of mental disorders, symptoms, and problems, and the positive dimension, or positive mental health, which includes emotions and positive personal characteristics such as self-esteem, resilience against environmental challenges, a sense of integrity, and self-efficacy. The aim of the present study was to investigate the role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran, Iran.
methodThe research method employed was a survey. 758 people participated in the study, and the samples consisted of high school students in Tehran during the academic year 2022-2023. The process of collecting information was carried out by distributing the questionnaire link through virtual networks and schools. The research utilized Young's Internet Addiction Test, Samuels' Academic Resilience Inventory, and Goldberg's Mental Health Questionnaire as the research tools. Statistical tests, including Pearson's correlation and multiple regression analysis, were employed to investigate the relationships between variables.
resultThe effect of internet addiction on mental health (ß=0.39) is negative and significant at the 0.001 level, while the effect of academic resilience on mental health (ß=0.66) is positive and significant at the 0.001 level. These two variables collectively predict 53% of the variance in students' mental health. This indicates that as internet addiction increases among students, their mental health significantly decreases, whereas higher levels of academic resilience correspond to higher mental health.
conclusionsThis study has elucidated the role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran. Given the significance of adolescent mental health, it is imperative for healthcare professionals and other stakeholders to develop intervention and prevention models to address mental health crises and plan for the enhancement of adolescent mental health.
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