JMIR Publications

ABSTRACT

Adolescents today inhabit an environment saturated with digital technology, where screens mediate communication, entertainment, learning, and even rest. As smartphones, laptops, tablets, and gaming systems have become ubiquitous, researchers and educators have increasingly sought to understand how these devices shape cognitive, behavioral, and academic outcomes. Among the most frequently discussed concerns are screen time, sleep duration, and students’ own perceptions of how their digital habits influence their daily functioning. Although each of these variables has been studied independently, fewer investigations have examined their combined and interacting effects on academic performance. This study addresses that gap by analyzing how screen time, sleep duration, and perceived screen‑time impact jointly predict high school students’ grade point averages (GPA), using a multivariate regression model constructed from self‑reported data provided by 50 participants. The central motivation for this research lies in the growing recognition that adolescent digital habits are not isolated behaviors but part of a broader ecosystem of routines, beliefs, and constraints. Screen time, for example, is often discussed as a singular metric—hours spent on devices—but its consequences depend heavily on context. Screen time late at night may interfere with sleep; screen time during homework may either support or distract from learning; screen time used for social connection may buffer stress or, alternatively, exacerbate it. Sleep duration, likewise, is not merely a biological necessity but a behavioral outcome shaped by lifestyle choices, school schedules, extracurricular commitments, and digital engagement. Finally, perceived screen‑time impact reflects students’ subjective interpretations of their own habits: whether they believe screens help them relax, distract them from responsibilities, impair their sleep, or influence their academic focus. These perceptions matter because they often guide behavior more strongly than objective measures alone. To explore these dynamics, the study collected self‑reported data from 50 high school students representing a range of grade levels, academic tracks, and extracurricular involvement. Participants provided information about their average daily screen time, typical nightly sleep duration, and their perceived impact of screen use on their daily functioning, measured through a brief Likert‑scale instrument. GPA was obtained through self‑report, with students asked to provide their most recent cumulative GPA. Although self‑reported academic data can introduce minor inaccuracies, prior research suggests that students generally report GPA reliably, especially when anonymity is assured. The analytic strategy centered on constructing a multivariate regression model with GPA as the dependent variable and screen time, sleep duration, and perceived screen‑time impact as predictors. This approach allowed for simultaneous estimation of each variable’s unique contribution to academic performance while controlling for the others. It also enabled exploration of potential moderating relationships, particularly whether perceived impact alters the association between screen time and sleep duration. The results of the regression analysis revealed a clear pattern: sleep duration emerged as the strongest predictor of GPA, exerting a statistically significant and substantively meaningful influence. Students who reported longer nightly sleep tended to have higher GPAs, even after accounting for screen time and perceived impact. This finding aligns with a substantial body of literature demonstrating that sleep plays a critical role in cognitive functioning, memory consolidation, emotional regulation, and sustained attention—all of which are essential for academic success. Adolescents, in particular, are vulnerable to sleep deficits due to biological shifts in circadian rhythms, early school start times, and high levels of evening stimulation from digital devices. The present study reinforces the importance of sleep as a foundational component of academic performance. Screen time, while a weaker predictor than sleep duration, nonetheless exhibited a meaningful negative association with GPA. Students with higher daily screen time tended to report slightly lower GPAs, though the effect size was modest. This suggests that screen time alone is not a dominant driver of academic outcomes but may contribute to small cumulative disadvantages, especially when screen use displaces time that could otherwise be spent on homework, reading, or sleep. Importantly, the study did not differentiate between types of screen time—educational, recreational, social, or entertainment—which limits the interpretability of this finding. Prior research indicates that the content and purpose of screen use matter greatly; for example, time spent on educational platforms may support learning, whereas time spent on social media or gaming may be more likely to interfere with academic focus. Nonetheless, the overall trend observed here is consistent with broader concerns about excessive screen exposure. The third variable, perceived screen‑time impact, played a more nuanced role. Rather than directly predicting GPA, perceived impact functioned as a behavioral moderator, shaping the relationship between screen time and sleep duration. Students who believed that screen use negatively affected their sleep or daily functioning tended to exhibit stronger associations between screen time and reduced sleep. In other words, perception amplified the behavioral consequences of screen use. Those who felt that screens disrupted their routines were more likely to experience sleep loss associated with high screen time, whereas students who perceived screens as benign or beneficial showed weaker links between screen time and sleep duration. This moderating effect underscores the importance of subjective interpretation in shaping behavioral patterns. Adolescents who view screens as harmful may experience heightened stress or guilt around their usage, potentially leading to irregular sleep patterns or inconsistent self‑regulation. Conversely, those who view screens as neutral may engage in more balanced or mindful usage. Taken together, these findings contribute to ongoing discussions about adolescent digital habits and their academic consequences by highlighting the interplay between objective behaviors and subjective perceptions. The results suggest that interventions aimed at improving academic performance should not focus solely on reducing screen time but should also address sleep hygiene and students’ beliefs about their digital habits. For example, educational programs could help students recognize how screen use affects sleep and provide strategies for managing nighttime device exposure. Schools might consider implementing policies that encourage healthier digital routines, such as limiting homework assignments that require late‑night screen use or promoting awareness campaigns about sleep’s role in academic success. The study also raises important questions about the broader cultural context in which adolescents navigate digital life. Screens are deeply embedded in social norms, academic expectations, and leisure activities. Many students rely on screens for communication with peers, completion of schoolwork, and participation in extracurricular communities. As such, screen time is not inherently detrimental; rather, its effects depend on how it interacts with other aspects of life, particularly sleep. The finding that sleep duration is the strongest predictor of GPA suggests that efforts to support adolescent well‑being should prioritize sleep above other behavioral targets. This may involve advocating for later school start times, encouraging consistent bedtime routines, or educating families about the importance of limiting device use before sleep. Methodologically, the study’s reliance on self‑reported data introduces certain limitations. Participants may have under‑ or over‑estimated their screen time or sleep duration, and perceived impact is inherently subjective. Future research could incorporate objective measures such as device‑usage logs, actigraphy‑based sleep tracking, or school‑verified GPA records. Additionally, expanding the sample size and including students from diverse socioeconomic backgrounds could enhance generalizability. Despite these limitations, the study provides valuable insights into the complex relationships among digital behavior, sleep, and academic performance. Another avenue for future research involves exploring the content and timing of screen use. Evening screen exposure, particularly to blue light, has been shown to delay melatonin release and disrupt circadian rhythms. Understanding whether nighttime screen use is more detrimental than daytime use could refine intervention strategies. Similarly, distinguishing between passive screen activities (e.g., watching videos) and interactive ones (e.g., gaming or social media engagement) may reveal differential effects on sleep and academic outcomes. The moderating role of perceived impact also warrants deeper investigation. Adolescents’ beliefs about their digital habits may be shaped by parental attitudes, peer norms, media narratives, or personal experiences. Understanding how these beliefs develop and how they influence behavior could inform more effective educational interventions. For instance, helping students cultivate accurate and balanced perceptions of screen use may reduce anxiety or guilt associated with digital engagement, thereby promoting healthier routines. In summary, this study demonstrates that sleep duration is the most powerful predictor of academic performance among the variables examined, while screen time exerts a smaller but still meaningful influence. Perceived screen‑time impact does not directly predict GPA but moderates the relationship between screen time and sleep, highlighting the importance of subjective interpretation in shaping behavioral outcomes. These findings underscore the need for holistic approaches to supporting adolescent academic success—approaches that consider not only digital habits but also sleep hygiene and personal beliefs. The implications of this research extend beyond academic performance to broader considerations of adolescent health and well‑being. Sleep deprivation has been linked to increased risk of depression, anxiety, impaired decision‑making, and reduced emotional resilience. Excessive screen time has been associated with attention difficulties, social comparison, and decreased physical activity. By understanding how these variables interact, educators, parents, and policymakers can develop more targeted strategies to support adolescents in navigating the digital landscape.