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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.

The increasing use of digital devices among adolescents raises concerns regarding eye health, particularly myopia. Non-ergonomic postures, such as using gadgets in a lying position, may increase accommodative stress on the eyes and contribute to visual impairment. To analyze the association between the duration and viewing distance of gadget use in a lying position and the occurrence of myopia among eighth-grade students at SMPN 119 Central Jakarta. An observational analytic study with a cross-sectional design was conducted involving 74 eighth-grade students. Data on gadget use habits, including duration and viewing distance, were collected using a structured questionnaire. Visual acuity was assessed using a Snellen chart. Bivariate analysis was performed using the Chi-square test with a significance level of p < 0.05. Decreased visual acuity was found in 62.2% of respondents. There was no significant association between viewing distance and myopia (p = 0.080). However, a significant association was identified between gadget use duration exceeding two hours per day and the occurrence of myopia (p = 0.002). The duration of gadget use in a lying position was significantly associated with myopia, whereas viewing distance was not. Limiting the duration of gadget use may help prevent visual impairment among adolescents.