Associations of self-reported physical activity, sedentary behavior, and sleep duration with mental and behavioral health among civil aviation flight students: a cross-sectional study

People training to become commercial pilots carry an unusual combination of pressures: high-stakes examinations, strict medical certification standards, irregular schedules, and the constant awareness that a career can end on a single medical finding. A new cross-sectional study from a Chinese civil aviation university adds a behavioral dimension to that picture, reporting how self-reported physical activity, sedentary time, and sleep duration line up with depression, anxiety, stress, and problematic Internet use among flight students. The work, published in Frontiers in Psychology, suggests that sleep in particular may be a behavioral marker worth watching in this high-selection population.

The research team, led by Yu Zhou and Yang Xu of the Civil Aviation Flight University of China together with Yanli He of Sichuan Technology and Business University, surveyed 776 Flight Technology majors between January 5 and 30, 2026. The sample was overwhelmingly male—774 of the 776 students, or 99.7 percent—reflecting the demographics of Chinese flight training programs. Because only two women participated, the researchers restricted their primary inferential analyses to male students, a decision that avoids drawing conclusions from a handful of cases but also limits how far the findings can be generalized to female trainees.

Methodologically, the study is careful about what its questionnaires can and cannot measure. Physical activity was captured with modified self-report items, and the duration variable represented time spent active on a typical activity day rather than an average across the whole week. Sedentary behavior was recorded as total self-reported sitting time, and sleep was assessed as a categorical self-reported duration, with the key contrast being students who reported sleeping less than seven hours versus those who did not. Depression, anxiety, stress, and problematic Internet use were measured with validated psychological scales.

To analyze the data, the team used generalized estimating equation models, a statistical framework suited to clustered survey data, and applied false discovery rate correction to guard against spurious positives when testing many associations at once. Models were fully adjusted for covariates, and the researchers ran a series of sensitivity analyses varying how outcomes were defined, which participants were included, and how the data were processed. This layered approach matters in behavioral epidemiology, where results can hinge on seemingly minor analytic choices.

Three findings survived the correction procedures. First, longer self-reported vigorous-intensity physical activity was associated with lower anxiety scores. Second, students who reported sleeping less than seven hours scored higher on all four outcomes: depression, anxiety, stress, and problematic Internet use. Third, longer total sedentary time was associated with higher problematic Internet use scores. Notably, no significant linear associations emerged between moderate- or light-intensity physical activity and any outcome after correction, hinting that intensity may matter more than total movement time for the mental health indicators examined.

The effect sizes, however, are modest, and the authors are explicit about this. The link between vigorous activity and anxiety corresponds to roughly 0.10 standard deviations of the outcome—small in conventional terms. The sleep findings are the largest, at approximately 0.24 to 0.27 standard deviations, which is still a small-to-moderate association. The sedentary time and problematic Internet use link is the smallest, around 0.04 standard deviations. In practical terms, these are population-level signals rather than dramatic individual differences; they suggest patterns in the data rather than strong predictors of any one student’s mental state.

The consistency of the sleep findings across all four outcomes is arguably the most interesting result. Short sleep is biologically plausible as a contributor to poor mental health: sleep restriction affects emotional regulation, stress hormone rhythms, and cognitive control, and it has been repeatedly linked to mood disorders and impulsive behavior in other populations. Flight students face particular sleep challenges, including early briefing times, irregular training schedules, and the pressure of high-stakes assessments, which makes the seven-hour threshold a meaningful behavioral marker even if this study cannot prove that short sleep causes the elevated symptoms.

The vigorous activity finding adds nuance to the physical activity and mental health literature. Many studies report benefits of total physical activity volume, but here only vigorous-intensity activity showed a significant association with anxiety after correction, while moderate and light activity did not. One possibility is that intense exercise provides a distinctive physiological stimulus—elevating endorphin release, providing psychological detachment from academic stress, or building a sense of physical mastery—that lighter movement does not. Another is that students who feel less anxious are simply more able to engage in demanding exercise, a reverse-causation explanation the cross-sectional design cannot rule out.

The association between sedentary time and problematic Internet use is also worth interpreting carefully. Both behaviors may share an underlying cause: students who spend long hours sitting are often doing so in front of screens, whether for study, gaming, or social media. The 0.04 standard deviation effect is very small, and the authors caution that it may reflect overlapping behaviors rather than an independent risk factor. Still, in a population where Internet use can escalate into a genuine behavioral problem, the finding suggests that total sitting time and online behavior may travel together in ways worth monitoring.

The authors are careful about what the study cannot establish. Because it is cross-sectional, it cannot prove causality, identify an optimal physical activity dose, define a sleep intervention threshold, or estimate time-substitution effects—for example, whether replacing sitting with activity would improve outcomes. The behavioral measures are self-reported, which introduces recall and social desirability biases, and the near-total male sample limits generalizability. The researchers call for longitudinal studies using objective, device-based measures of activity, sedentary behavior, and sleep to confirm the findings. In the meantime, the study makes a case that flight training programs might consider behavioral indicators—especially sleep duration—alongside traditional mental health screening when evaluating student wellbeing.

Subject of Research: Flight students' sleep, activity, and mental health

Article Title: Associations of self-reported physical activity, sedentary behavior, and sleep duration with mental and behavioral health among civil aviation flight students: a cross-sectional study

Article References: Zhou, Y., Xu, Y., & He, Y. (2026). Associations of self-reported physical activity, sedentary behavior, and sleep duration with mental and behavioral health among civil aviation flight students: a cross-sectional study. Frontiers in Psychology, 17, Article 1914711. https://doi.org/10.3389/fpsyg.2026.1914711

Image Credits: AI Generated

DOI: 10.3389/fpsyg.2026.1914711

Keywords: sleep, physical activity, mental health, aviation, cross-sectional study, sedentary behavior, flight students, Associations, self-reported, physical, activity, sedentary