AI Insight
This cross-sectional study of 514 King Saud University students found that 58.4% reported high short-form video reward expectancy, which was significantly associated with both fragmented study sessions and self-reported difficulty maintaining deep academic focus. Each one-point increase in short-form video reward expectancy corresponded to approximately 0.44-point higher study fragmentation and 0.36-point higher deep-work impairment, even after adjusting for demographic and device-use factors. The study relies entirely on self-reported measures and cannot establish causation due to its cross-sectional design.
Why it matters
The findings suggest that university students' frequent use of short-form video platforms may interfere with sustained academic concentration and study effectiveness. These results could inform university policies and student support programs aimed at promoting healthier technology habits, though longitudinal studies with objective measurements are needed to confirm causal relationships and develop evidence-based interventions.
Understand the Science
Background and objectiveShort-form video (SFV) platforms are widely used among university students and provide brief, personalized, and rewarding content. This may encourage repeated scrolling, frequent phone checking, and difficulty maintaining sustained academic focus. This study aimed to describe the proportion of King Saud University students reporting high SFV reward expectancy in this sample, and to examine its association with study-session fragmentation and self-reported deep-work impairment.MethodsA cross-sectional analytical study was conducted among students at King Saud University, Riyadh, Saudi Arabia. Data on SFV reward expectancy, study-session fragmentation, and deep-work impairment were collected using a structured electronic questionnaire. Pearson’s and Spearman’s correlations were used for bivariate analysis, and hierarchical multiple linear regression was used to estimate associations adjusted for demographic, academic, and device-use covariates, with standardized coefficients, 95% confidence intervals, collinearity diagnostics, and residual checks reported.ResultsA total of 514 students were included in the analysis. High SFV reward expectancy was reported by 58.4% of respondents (95% CI: 54.1–62.6%). SFV reward expectancy was positively correlated with study-session fragmentation (r = 0.646, 95% CI 0.593–0.694, p < 0.001) and with deep-work impairment (r = 0.518, 95% CI 0.452–0.578, p < 0.001). In fully adjusted models, each one-point increase in SFV reward expectancy was associated with a 0.441-point higher fragmentation score (95% CI 0.379–0.503, β = 0.499, p < 0.001) and a 0.357-point higher deep-work impairment score (95% CI 0.288–0.426, β = 0.431, p < 0.001). Associations were attenuated but remained statistically significant after adjustment.ConclusionHigh SFV reward expectancy was commonly reported in this sample and was significantly associated with greater study-session fragmentation and greater self-reported deep-work impairment, independent of measured demographic, academic, and device-use characteristics. Because the design is cross-sectional and all measures were self-reported, these findings are associative and cannot establish temporal order or causation. These findings highlight the need for longitudinal and intervention research using objective measures to evaluate the underlying mechanisms and to inform strategies promoting healthier technology use among university students.