The study’s design rests on a cross-sectional survey of 376 university students, a sample size that gives the researchers reasonable statistical power for detecting the moderate correlations they report, though it also means the findings capture a single moment in time rather than tracking how these relationships unfold across a semester or an academic year. Participants completed four validated instruments: the Digital Health Literacy Scale, which probes how well a person can search for, appraise, and apply health-related information found online; the SVA Scale, a questionnaire tailored to the compulsive-use patterns characteristic of short-form video platforms; the Physical Activity Rating Scale, which quantifies the intensity, frequency, and duration of exercise; and the Brief Self-Control Scale, a widely used measure of the capacity to override impulses and persist at goal-directed behavior. Because all measures were self-reported, the results depend on participants’ honest and accurate introspection, a limitation the authors implicitly acknowledge by framing their conclusions in terms of associations rather than causal effects.

The correlation matrix at the heart of the paper tells a coherent story. Digital health literacy correlated positively with physical activity at r = 0.275 and with self-control at r = 0.326, while showing a negative association with short-form video addiction at r = -0.366. Physical activity and self-control each correlated negatively with video addiction, at r = -0.309 and r = -0.326 respectively, and the two mediators were positively related to each other at r = 0.322. Every one of these coefficients reached significance at the P < 0.001 level. In practical terms, students who were better at navigating online health information tended to exercise more, report stronger self-discipline, and score lower on measures of compulsive video use. The magnitude of these correlations is moderate rather than overwhelming, which is typical for psychological research of this kind, but their internal consistency across all six pairwise relationships lends credibility to the overall pattern.

The mediation analysis is where the study makes its most distinctive contribution. Rather than treating physical activity and self-control as merely correlated bystanders, the researchers used the bias-corrected Bootstrap method to test whether these variables carry the influence of digital health literacy forward to video addiction. The Bootstrap approach resamples the dataset thousands of times to build a confidence interval around each indirect effect, a technique widely regarded as more robust than older methods for detecting mediation when the underlying data are not perfectly normally distributed. The results showed that the indirect pathway through physical activity alone accounted for 12.64% of the total effect, and the pathway through self-control alone accounted for an identical 12.64%. Most intriguingly, the sequential pathway, in which digital health literacy first boosts physical activity and physical activity in turn strengthens self-control, which then suppresses video addiction, accounted for a further 3.57% of the total effect. That sequential route, though modest in size, is theoretically meaningful because it suggests the two mediators operate in a chain rather than in parallel.

This sequential structure aligns with a growing body of theory in health psychology that treats self-control not as a fixed trait but as a resource that can be replenished or depleted by lifestyle factors. Regular physical activity has been repeatedly linked in prior literature to improved executive function, better emotion regulation, and greater resistance to immediate temptations, plausibly through a combination of neurobiological changes such as increased prefrontal engagement and psychological mechanisms such as enhanced self-efficacy. If exercise bolsters the self-control reserve that students draw on when resisting the algorithmic pull of an endless feed, then the finding that physical activity feeds into self-control, which in turn dampens addiction scores, fits neatly into that framework. Digital health literacy, meanwhile, may act upstream of both: a student who can critically evaluate health information online is more likely to understand the genuine benefits of exercise and to recognize the manipulative design patterns of recommendation algorithms, and that awareness may translate into both more movement and more disciplined media habits.

The concept of digital health literacy itself deserves attention. It encompasses more than simple technical fluency with search engines; validated scales typically probe whether users can distinguish credible sources from misinformation, apply retrieved information to their own health decisions, and navigate the privacy and reliability concerns that come with online health content. In an era when health misinformation spreads rapidly through the very same social platforms that host short-form video, the capacity to appraise digital information critically may serve as a kind of cognitive inoculation. Students with higher digital health literacy may be better equipped to recognize when an app’s design is engineered to maximize watch time at the expense of wellbeing, and that recognition could underpin the direct negative association with video addiction that the study observed even after accounting for the mediators.

Short-form video addiction, as operationalized in this research, refers to a pattern of use resembling behavioral addiction: loss of control over viewing time, continued use despite negative consequences, craving-like preoccupation with the feed, and withdrawal symptoms when access is restricted. The architecture of short-form platforms, with their infinite scroll, autoplay, personalized recommendation algorithms, and variable reward schedules, is explicitly designed to exploit the same psychological mechanisms that make other compulsive behaviors difficult to quit. University students are considered particularly vulnerable because they often experience their first extended period of unstructured time away from family oversight, face academic stress, and live in environments where smartphones are constantly within reach. Prior surveys across multiple countries have documented that a substantial minority of young adults report usage patterns consistent with problematic short-form video consumption, making the search for protective factors a public health priority rather than an academic curiosity.

The authors’ framing of the findings as informing multidimensional intervention strategies is worth unpacking. If the pathways hold up in longitudinal and experimental research, interventions could target any point in the chain. Digital literacy curricula might directly strengthen students’ ability to evaluate online health content, with downstream benefits for both exercise behavior and impulse control. Campus physical activity programs, from intramural sports to structured fitness requirements, might bolster self-control reserves that students can then deploy against compulsive screen use. Self-control training itself, whether through mindfulness practice, implementation intentions, or goal-setting exercises, represents a third lever. The sequential mediation result suggests these levers may be complementary rather than redundant: an intervention that raises physical activity could amplify the effectiveness of self-control training, and improved health literacy could make students more receptive to both.

Several caveats temper the strength of these conclusions. The cross-sectional design cannot establish directionality; it is equally plausible that students with stronger self-control find it easier to disengage from video feeds and to maintain exercise routines, or that heavy video use erodes both physical activity and self-discipline over time. The sample of 376 students, while adequate for the analyses performed, was drawn from specific Chinese universities and may not generalize to student populations elsewhere or to non-students. Self-report measures of addictive behavior are vulnerable to social desirability bias and to the inherent difficulty of accurately estimating one’s own screen time, which research has shown people systematically misjudge. The shared-method variance introduced by collecting all data through questionnaires at a single time point can also inflate correlations between variables. Finally, the mediators explained a meaningful but incomplete share of the total effect, with the two independent pathways together accounting for roughly a quarter and the sequential pathway adding a few percentage points more, leaving the majority of the association between digital health literacy and video addiction unexplained by the measured variables.

Future research directions follow naturally from these limitations. Longitudinal designs that follow students across multiple semesters could clarify whether digital health literacy precedes and predicts later changes in physical activity, self-control, and video use, or whether the causal arrows run in the opposite direction. Experience sampling methods, in which participants report their behavior and emotional state in real time on their phones, could replace retrospective self-report with momentary data and reduce recall bias. Objective measures of physical activity, such as wearable accelerometers, and platform-provided screen time logs would triangulate the questionnaire findings. Experimental studies, even small-scale ones that randomly assign students to a digital literacy workshop or an exercise program, could test the causal claims the mediation model implies. Extending the work to adolescents, working adults, and cross-cultural samples would establish whether the pathway from health literacy through activity and self-control to reduced video addiction is a general feature of human psychology or a product of a particular educational and cultural context.

For universities considering practical responses, the study adds to a accumulating evidence base suggesting that well-rounded student wellness programs may do double duty. Institutions that invest in physical education facilities, promote exercise habits, and embed digital and health literacy training into their curricula are not merely addressing fitness and information skills in isolation; according to this research, those investments may also function as indirect protections against one of the most pervasive behavioral health concerns of the smartphone era. The finding that self-control sits downstream of physical activity in the mediation chain is particularly actionable, because exercise is among the most tractable behaviors to modify through environmental design, scheduling, and social encouragement, whereas self-control itself has proven resistant to direct training in many prior intervention studies. In that light, the modest 3.57% sequential effect may ultimately prove more consequential for intervention design than its small statistical share would suggest, since it identifies a concrete, modifiable behavior, namely exercise, as a stepping stone toward the psychological capacity that guards against compulsive media use.

Subject of Research: Digital health literacy and short-form video addiction among university students

Article Title: The relationship between digital health literacy and short-form video addiction among university students: the sequential mediating role of physical activity and self-control

Article References: Ma, L., Liu, T., Zhao, C., & Niu, T. (2026). The relationship between digital health literacy and short-form video addiction among university students: the sequential mediating role of physical activity and self-control. BMC Psychology. https://doi.org/10.1186/s40359-026-05605-z

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05605-z

Keywords: digital health literacy, short-form video addiction, university students, physical activity, self-control, mediation analysis, behavioral addiction, BMC Psychology, cross-sectional study, digital wellbeing, health communication, China