A Cross-Sectional Network Analysis of Physical Exercise, Sleep Procrastination, Health Attitudes, Self-Control, and Short-Video Addiction Symptoms among College Students

In the quiet hours of the night, many college students find themselves scrolling through short videos, the glowing screens casting a blue light that delays sleep and disrupts the rhythm of the day. This behavior, often called sleep procrastination, is not just a matter of poor time management; it is frequently linked to a deeper struggle with self-control and the addictive pull of digital content. Researchers have long known that physical exercise and a positive attitude toward health can act as buffers against these risks, but the exact way these factors interact remains a puzzle. Traditional studies often look at these variables one by one, asking if exercise causes better sleep or if self-control reduces addiction. However, human behavior is rarely a straight line. It is a complex web where a single habit can ripple through a person's entire life, strengthening some defenses while weakening others. Understanding this web requires a different kind of map, one that shows how all these pieces fit together at the same time.

A team of researchers set out to draw this map for 810 college students across China. Instead of treating physical exercise, short-video addiction, sleep procrastination, health attitudes, and self-control as separate items on a checklist, they analyzed them as a single, interconnected system. They broke down the broad concept of self-control into five specific parts: the ability to control impulses, maintain health habits, resist temptation, execute work tasks, and moderate entertainment consumption. By using a statistical method that visualizes relationships as a network, they could see which factors acted as central hubs and which served as bridges connecting different parts of a student's life. The study revealed that sleep procrastination was the most dangerous node in this network. It sat at the center, tightly connected to other risk factors, and exerted the strongest negative influence on the group's overall well-being. In contrast, impulse control emerged as a vital protective force, acting as a key barrier against the pull of addiction.

The researchers found that the five dimensions of self-control were deeply intertwined, forming a dense cluster where a weakness in one area often signaled a struggle in another. Among these, the ability to control impulses and the habit of maintaining health routines showed the strongest direct connections to other variables. Interestingly, while physical exercise did not show strong direct links to every other factor, it played a unique role as a bridge. It connected the protective side of the network to the risk side, suggesting that exercise helps by indirectly supporting other healthy behaviors rather than acting alone. Similarly, a positive attitude toward health and the ability to get work done served as powerful bridges, linking the desire for well-being with the actual actions needed to resist addiction and stay on a healthy sleep schedule.

When the researchers looked closely at the differences between male and female students, they discovered that while the core risks were the same for everyone, the protective strategies varied. For male students, physical exercise and a strong health attitude were the most prominent bridges, suggesting that encouraging sports and health awareness might be particularly effective for them. For female students, the ability to execute work tasks and resist temptation played a larger bridging role, indicating that structured time management and internal discipline might be more central to their protective mechanisms. The study did not prove that these differences are caused by biology or that one approach is superior to the other; rather, it showed that the pathways through which students protect themselves are not identical.

The findings offer a clear picture of the current landscape: sleep procrastination and a lack of impulse control are the primary drivers of short-video addiction among college students. The study suggests that interventions should not just focus on telling students to stop watching videos. Instead, universities might consider training students in specific self-control skills, particularly impulse management, and addressing sleep habits directly. Because the network shows that different students rely on different protective bridges, a one-size-fits-all approach may be less effective than strategies tailored to how different groups connect their healthy habits to their daily lives. The research provides a detailed, evidence-based guide for understanding how these behaviors interact, moving beyond simple cause-and-effect to reveal the complex, balancing act of student life.