ArticleRevista da Associacao Medica Brasileira (1992)2024
Relationships between internet addiction, smartphone addiction, sleep quality, and academic performance among high-school students.
Article in Revista da Associacao Medica Brasileira (1992), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Association between smartphone addiction, suicidal ideation and suicide attempt: a systematic review.PeerJ · 2026Pooled it
- Exploring the link between internet addiction and sleep quality and the implications of this relationship: a systematic review.Trends in psychiatry and psychotherapy · 2025Pooled it
- Association between problematic smartphone use, loneliness, and risk behaviors among high school students in a conflict-affected setting: A cross-sectional study from Palestine.BMC psychology · 2026Article
- A scoping review of internet addiction and academic performance among health sciences students.BMC psychology · 2026Article
- Development and validation of a nomogram to predict mobile phone addiction risk among Chinese adolescents.BMC psychology · 2026Article
- The Effect of Sleep Quality on Academic Performance: A Systematic Review and Meta-Analysis Study.Behavioral sciences (Basel, Switzerland) · 2026Review
- Network Analysis and Mediation Effect Analysis of Anxiety Symptoms and Sleep Patterns for Adolescents.Actas espanolas de psiquiatria · 2025Article
- The role of smartphone addiction and family dynamics in sleep quality among earthquake-affected adolescents.BMC psychiatry · 2025Article
- From family social support to problematic internet use: a serial mediation model of hostility and depression.BMC psychology · 2025Article
- Association between internet addiction and sleep quality in medical students: a longitudinal study.Frontiers in psychology · 2025Article
- Prevalence and factors associated with resilience in Peruvian adolescent schoolchildren during the early post-pandemic context: a cross-sectional study.Frontiers in psychiatry · 2025Article
- The prevalence of smartphone addiction and its related risk factors among Palestinian high school students: a cross-sectional study.Frontiers in psychiatry · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn this study, we aimed to evaluate the relationships between Internet addiction, smartphone addiction, sleep quality, and academic success.
methodsIn this cross-sectional study, high-school students were surveyed to evaluate sleep quality, Internet addiction, and smartphone addiction. Students were queried about their demographics, and grade averages from the previous term were taken as an indicator of academic success.
resultsA total of 1,959 students were enrolled in this study, with 1,034 (52.8%) girls and 925 (47.2%) boys, and the median age of the participants was 16 (13-21) years. Multivariate analyses found that poor sleep quality in students who did not have breakfast before going to school was 1.58 times higher than those who did (p<0.001). Students who stayed in a dormitory had 1.79 times more poor sleep quality than those who stayed with their family, and a one-unit increase in the total score of the Young's Internet Addiction Test short form resulted in a 1.08-fold increase (both, p<0.001).
conclusionOur study has shown that students' sleep quality was predicted to be lower if they stayed in a dormitory and skipped breakfast. In addition, Internet and smartphone addictions have a negative effect on sleep quality and academic performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.