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The rapid growth of internet access and digital device usage in Indonesia has made gadgets an inseparable part of students’ daily lives. While smartphones facilitate communication and access to information, excessive use—particularly before bedtime—has been associated with poor sleep quality. This quantitative correlational study aimed to identify the relationship between gadget use before sleep and sleep quality among students of SMK Yapim Sibiru-biru. A total of 110 students were selected purposively and asked to complete a structured questionnaire measuring gadget use duration, activity type, use of “Night Mode,” and various aspects of sleep quality. Data were analyzed using descriptive and Pearson correlation tests at a 0.05 significance level. Results showed that 87.5% of students used gadgets before sleep, with smartphones being the most common device. The majority (46.88%) reported using gadgets for 1–2 hours before bed, primarily for social media and entertainment. Most respondents slept between 10:00 p.m. and midnight, with an average sleep duration of 4–6 hours, lower than the recommended 7–9 hours. Statistical analysis revealed a significant negative correlation between gadget use duration and sleep quality—longer use was associated with poorer sleep. Additionally, low awareness of blue light filtering features exacerbated sleep problems such as insomnia and fatigue. These findings highlight the importance of behavioral interventions and sleep hygiene education to mitigate the adverse effects of nighttime gadget use. Recommended strategies include limiting screen time one hour before sleep, enabling “Night Mode,” and engaging in relaxing pre-sleep activities to promote better sleep quality and overall well-being

Insomnia is the inability or difficulty sleeping both in terms of quantity and quality. Complaints for insomnia sufferers are characterized by complaints of difficulty sleeping, feeling short of sleep, sleeping with frightening dreams, and complaints of disturbed health. The causes of insomnia come from internal factors (intrinsic), namely: anxiety, stress, motivation and age while external factors (extrinsic), namely: use of drugs, general medical disorders, environmental and lifestyle factors such as smoking, using gadgets without time, irregular physical activity, and consuming caffeinated drinks. This study aims to determine what factors are related to the occurrence of insomnia in students of the Faculty of Public Health, Halu Oleo University in 2025. The research method used in this study is an analytical research method with a cross-sectional approach. The population in this study was 766 students of the Faculty of Public Health, Halu Oleo University, class of 2021 and 2022. The number of samples in this study was 256 students. The sampling technique used in this study was probability sampling using stratified random sampling technique. The results of this study indicate that there is a relationship between the duration of gadget use (0.000), physical activity (0.005), stress level (0.000), and anxiety level (0.000) with the incidence of insomnia, and there is no relationship between family support (1.000) with the incidence of insomnia in students of the Faculty of Public Health, Halu Oleo University in 2025. It is hoped that students will pay more attention to their lifestyle because a healthy lifestyle is the key to achieving a prosperous and disease-free life.

Background: Sleep disorders in adolescents are a significant health problem, with a global prevalence reaching 57.8% and particularly high rates in several cities in Indonesia. Poor sleep quality negatively impacts physical health, such as the risk of cardiovascular disease and anemia, as well as mental and cognitive health. Sleep behavior is influenced by a dynamic interaction between personal and environmental factors, as explained in Social Cognitive Theory (SCT). Research Objective: To identify the determinants of sleep deprivation in adolescents, specifically individual and environmental factors, based on a Social Cognitive Theory (SCT) perspective through a literature review from 2019 to 2025. Method: This study utilized a literature review. To obtain research data, the authors searched for scientific articles through Google Scholar, PubMed, and ScienceDirect databases, then analyzed 10 articles that met the inclusion criteria, published between 2020 and 2025. Results: Factors significantly associated with adolescent sleep quality were identified, with individual factors being the most dominant determinant (found in 7 studies), including academic stress and smartphone addiction. Furthermore, a positive association was found with environmental factors (found in 4 studies), such as bright lighting, noise, and uncomfortable room temperature. Conclusion: Within the framework of Social Cognitive Theory, adolescent sleep quality is the result of a reciprocal interaction between personal factors (perceived stress and self-control over gadgets), the physical environment, and sleep behavior. Individual factors such as stress and nighttime gadget use reduce self-efficacy for regular sleep, which is exacerbated by an unfavorable environment.

The increasing use of gadgets among medical students raises concerns about the health impacts, especially on sleep quality and eye health. Medical students have a high intensity of digital device use due to academic demands, which has the potential to cause excessive exposure to blue light (blue light), sleep disturbances, and eye fatigue (eye strain). This study aims to explore the relationship between the duration of gadget use with sleep quality and eye strain in medical students and to understand the factors that strengthen or weaken its impact. The research method used is qualitative descriptive based on a literature study by reviewing literature from scientific journals, books, and relevant documents. The results of the study showed that exposure to blue light can reduce melatonin production, disrupt circadian rhythms, and cause sleep disorders such as insomnia. In addition, long-term use of gadgets without sufficient rest increases the risk of digital eye strain, characterized by symptoms such as dry eyes, blurring, pain, and headaches. Medical students who are susceptible to intensive exposure to digital screens are at higher risk of this disorder. In conclusion, there is a strong interconnection between gadget use, sleep quality, and eye fatigue. Preventive efforts such as screen time management, use of blue light filters, and education about healthy visual habits are important to maintain the health and productivity of medical students.