Letter to the Editor: Dysfunctional sleep beliefs, chronotype, and academic achievement: Reframing cognitive targets in medical student populations

Abstract

Dysfunctional sleep beliefs and chronotype together influence student sleep health and academic performance. Altınöz et al, published in the recent issue of the World Journal of Psychiatry, provided evidence that maladaptive sleep beliefs undermine academic achievement indirectly through reduced sleep quality, with evening-type students showing the highest vulnerability. Based on these findings, this commentary highlights a cognitive-circadian interaction model, where negative sleep cognitions intensify the mismatch between biological rhythms and institutional schedules. Morning-type students benefit from better alignment, whereas evening-types face compounded risk from distorted beliefs and circadian conflict. We further discuss the methodological strengths and limitations of the original study and propose future directions focused on longitudinal validation, objective sleep assessments, and chronotype-sensitive interventions. Targeting dysfunctional sleep beliefs through behavioral strategies and more flexible academic scheduling may improve both sleep quality and educational outcomes in high-pressure learning environments.

Key Words: Educational policy; Cognitive-behavioral interventions; Medical students; Academic achievement; Chronotype; Sleep quality; Dysfunctional sleep beliefs

Core Tip: Altınöz et al identified that dysfunctional sleep beliefs affect academic performance indirectly through impaired sleep quality, with evening-type students being particularly vulnerable. This commentary underscores the novelty of incorporating cognitive distortions into chronobiological models of student achievement and emphasizes that interventions should target modifiable beliefs and sleep quality. Future research should employ longitudinal and multi-method designs, while educational policy reforms should integrate chronotype-sensitive scheduling and cognitive-behavioral strategies to enhance both sleep health and academic success in high-pressure learning environments.

TO THE EDITOR

The article by Altınöz et al[1], published in the recent issue of the World Journal of Psychiatry, is a useful source of evidence regarding the relationship between dysfunctional sleep beliefs, chronotype and student academic performance at the university. Their findings indicate that maladaptive sleep cognitions have an indirect impact on academic performance as they reduce the quality of sleep among evening-type individuals who are the most vulnerable.

Notably, this study shifts the needle in terms of looking at academic performance not only in relation to the biological time of sleep, but rather as a more holistic approach that involves the contribution of cognitive factors. The authors hypothesize that distorted sleep beliefs can increase the mismatch between the intrinsic circadian rhythm and institutional fixed schedules of the student. Since these beliefs are subject to modification, they are useful and practical, goals in the study of sleep and mental health[2,3].

However, a number of methodological considerations should be also discussed. The study is cross-sectional which does not allow one to interpret the causality and it is hard to determine which way the associations are moving over time. Reliance on self-reported measures can also lead to recall bias and subjective distortion. Also, tertile splits used to classify chronotypes may also obscure significant but relatively minor differences between people who are close to the edges of the groups. Longitudinal or repeated daily measurement designs and objective circadian rhythm measures to explain mechanisms and augment evidence base should be employed in future studies. In particular, clearly defined longitudinal frameworks are needed to empirically test the proposed cognitive-circadian pathways beyond cross-sectional associations.

Practical implications are also important. It is possible to develop cognitive-behavioral interventions that would fit different chronotypes and offer particular help to the students at the highest risk. These strategies can enhance the quality of sleep and solve academic issues among susceptible populations. Simultaneously, schools can also adopt more flexible or chronotype-responsive scheduling regulations to reduce circadian misalignment and ensure increased learning results[4].

KEY FINDINGS FROM THE CURRENT STUDY

The findings reported by Altınöz et al[1] are important and contribute to the explanation of how the combination of dysfunctional sleep beliefs and chronotype contributes to the emergence of academic performance. They have found that maladaptive beliefs about sleep are related to worse academic performance by lowering the quality of sleep and hence maladaptive beliefs about sleep is a significant cognitive determinant of student achievement.

This indirect mechanism is best observed among evening-type students, whose negative sleep cognitions have more negative consequences on the quality of sleep, which eventually leads to poor grade point averages. The trends show that evening-type people are at a two-fold risk of cognitive distortion and circadian misalignment. Morning-type and intermediate-type students, on the contrary, are not equally vulnerable.

Although the quality of sleep is a predictor of academic performance in the whole sample, chronotype and sleep-related beliefs moderate the relationship. This brings out the point that chronotype cannot be viewed as a uniform and homogenous predictor, but rather its influence varies with the cognitive context within which they are functioning.

Notably, the research highlights the fact that dysfunctional sleep beliefs are changeable. This offers a feasible object of cognitive-behavioral interventions that may result in an improvement of the quality of sleep and, consequently, academic performance.

METHODOLOGICAL STRENGTHS AND LIMITATIONS

The study by Altınöz et al[1] has several strengths. It uses a moderated mediation model to show how dysfunctional sleep beliefs affect academic performance through sleep quality while also considering different chronotypes. This type of analysis is now common in psychological research and allows both indirect effects and conditional effects to be tested in one model[5].

The study also uses well-known and reliable instruments, including the Dysfunctional Beliefs and Attitudes about Sleep (DBAS) scale, the Pittsburgh Sleep Quality Index (PSQI), and the Morningness-Eveningness Questionnaire (MEQ). These instruments have strong validity and are widely used in sleep and chronotype research[6-8]. Using these standardized tools improves measurement accuracy and allows easier comparison with findings from other studies.

However, several methodological issues need closer attention. The cross-sectional design limits causal inference. The direction of the relationships may go both ways. Poor academic performance may increase negative sleep beliefs or worsen circadian misalignment. The design also cannot detect feedback loops that often appear in the links between sleep and academic outcomes. Longitudinal studies or repeated-measures methods such as daily diaries or ecological momentary assessment are needed to test the proposed pathway over time[9].

All variables come from self-reports. This may create common-method variance and social desirability bias[10]. Subjective sleep reports often differ from objective sleep measures like actigraphy or dim-light melatonin onset. Without objective indicators, sleep timing may be incorrect. This may inflate or weaken the indirect effects reported in the study. Using both subjective and objective measures would improve accuracy.

The tertile grouping of chronotypes reduces differences among individuals. Chronotype is a continuous variable. The grouping method may hide nonlinear patterns. It may also reduce sensitivity to true effects. Data-driven methods such as latent profile analysis or spline models would show more accurate chronotype categories.

In medical student populations, such alternative approaches may be particularly advantageous. Latent profile analysis could identify subgroups characterized by distinct combinations of chronotype, sleep beliefs, and schedule exposure, such as students with delayed preferences who are repeatedly exposed to early-morning clinical duties. This person-centered method allows chronotype-related vulnerability to be examined in relation to real training patterns rather than arbitrary cut-offs. Alternatively, spline models could treat chronotype as a continuous variable and model nonlinear associations with sleep quality and academic performance, which may better capture threshold effects arising from irregular schedules, night shifts, and rotating clinical rotations commonly experienced by medical students. These approaches may provide more precise and context-sensitive estimates of chronotype effects in medical education settings.

The model also does not include important psychological and behavioral factors such as depressive symptoms and pre-sleep technology use. These variables are likely to function as moderators within the proposed pathway. For example, depressive symptoms may intensify the impact of dysfunctional sleep beliefs on perceived sleep quality, while excessive technology use before bedtime may further disrupt sleep initiation and maintenance. In addition, depressive symptoms may weaken the restorative role of sleep quality in supporting academic performance. Explicitly modeling these moderating mechanisms would provide a more complete understanding of how cognitive, emotional, and behavioral factors jointly shape the pathway from sleep beliefs to academic achievement.

THEORETICAL AND PRACTICAL IMPLICATIONS

The findings of Altınöz et al[1] help improve current ideas about how chronotype and cognition relate to academic performance. The study shows that dysfunctional sleep beliefs do not directly lower grade point average. Their effect works through sleep quality measured by the PSQI. This fits well with cognitive-behavioral models, which state that negative thoughts about sleep can increase stress and reduce sleep quality, leading to problems during the day[2,7]. By showing this indirect pathway, the study gives more support to a cognitive-circadian view of student performance.

The results also show strong differences between chronotypes. Evening-type students with higher DBAS scores tend to have worse sleep quality and lower grade point average. This supports past studies that evening-types often face a poor match between their biological rhythm and school schedules[11]. It also shows that negative beliefs may make this mismatch worse. For morning-type and intermediate-type students, negative beliefs also relate to lower sleep quality, but their academic performance does not seem to drop as much. This suggests that better alignment with school schedules may protect them. These results help make theoretical models more detailed by showing how cognition and circadian rhythm work together.

Importantly, the applicability of the proposed cognitive-circadian interaction model may vary across educational and cultural contexts. Medical training systems differ substantially between regions such as China and Malaysia. In China, medical students typically face earlier class start times, denser compulsory schedules, and stronger exam-oriented pressures, which may intensify circadian misalignment for evening-type students. In contrast, many Malaysian medical programs adopt relatively more flexible scheduling structures, including modular teaching blocks and later morning sessions, potentially buffering the adverse effects of chronotype-schedule mismatch.

Within these differing institutional contexts, dysfunctional sleep beliefs may play distinct roles. In highly rigid systems, maladaptive cognitions may amplify stress and perceived sleep loss when biological rhythms conflict with fixed schedules. In more flexible systems, the same beliefs may exert weaker effects or interact differently with academic demands. This cross-cultural perspective suggests that the cognitive-circadian interaction model is not culture-free, but embedded within specific educational structures, underscoring the need to contextualize chronotype-sensitive interventions rather than applying uniform solutions across regions.

There are clear practical lessons as well. Dysfunctional sleep beliefs can change, so they can be useful targets for treatment. Cognitive behavioral therapy for insomnia, sleep education programs, and rhythm-based therapy may help improve beliefs and sleep quality, especially for students who prefer later schedules. Health services can consider screening for negative sleep beliefs during routine check-ups. Schools can also try more flexible schedules or provide support programs to reduce sleep-related problems. These strategies may help improve both sleep and academic outcomes for students who are most at risk.

Importantly, these intervention strategies require adaptation for medical students engaged in clinical internships, night shifts, and emergency duties. Under shift-based work systems, traditional continuous cognitive-behavioral programs may be less feasible. Instead, fragmented cognitive restructuring modules, brief sleep-belief counseling during shift adaptation periods, and targeted psychoeducation focusing on circadian adjustment may be more practical. For example, short sessions addressing maladaptive beliefs about sleep loss during night duty, combined with guidance on strategic napping and light exposure, may help reduce cognitive stress and preserve sleep quality in high-intensity clinical settings. Such differentiated approaches may enhance the real-world applicability of chronotype-sensitive interventions in medical training environments.

RECOMMENDATIONS FOR FUTURE RESEARCH AND EDUCATIONAL POLICY

The study by Altınöz et al[1] shows several directions for future research. Future research should adopt clearly specified longitudinal designs to strengthen empirical support for the proposed model. For example, a multi-wave design could assess dysfunctional sleep beliefs (DBAS) and chronotype (MEQ) at baseline, followed by repeated measurements of sleep quality (PSQI or actigraphy) across the academic term, with academic performance evaluated at subsequent assessment points. Such designs would allow temporal ordering of cognitive, circadian, and academic variables to be tested directly and reduce reliance on cross-sectional inference[12,13].

Future work should test interventions that match different chronotypes. Digital cognitive behavioral therapy for insomnia (digital cognitive behavioral therapy for insomnia) already shows good results in students[14], and it can be adapted with clearer steps for evening-type students. One approach is to provide late-evening session options, shorter and more targeted modules on cognitive restructuring, and reminders timed to their natural rhythms[14,15]. Schools can also test short sleep-belief workshops lasting 2-3 sessions, delivered through student counseling units, and track changes in DBAS scores and PSQI outcomes. Multi-site and cross-cultural studies can include standardized protocols for technology use before bedtime and class schedule patterns so that differences in school practices can be compared more accurately. Future cross-cultural research should explicitly compare medical training schedules, assessment intensity, and clinical duty structures across regions such as East Asia and Southeast Asia to examine how institutional timing moderates the strength of cognitive-circadian pathways.

The findings also provide guidance for school policy. Universities can set up flexible scheduling in a more structured way. For example, they can allow at least one late-morning exam slot each exam period or provide two alternative lecture times for large courses. Schools can also integrate sleep education into first-year orientation programs or weekly online modules. Counseling centers can run brief sleep-assessment screens using DBAS or MEQ and give follow-up guidance based on chronotype. Academic advisors can review students’ sleep profiles once per semester and help them adjust course loads or study routines. These steps can support better sleep and academic performance, especially for evening-type students under high pressure.

CONCLUSION

The study by Altınöz et al[1] adds a cognitive perspective to the understanding of how sleep affects academic achievement. It shows that negative beliefs about sleep influence performance mainly through reduced sleep quality. This effect is stronger in evening-type students, who already face a mismatch between their biological rhythm and school schedules. The results point to the need for future longitudinal research and for interventions that consider different chronotypes. Schools may also benefit from more flexible scheduling systems and sleep-focused support. These efforts can help improve sleep and academic outcomes, especially for students who are more vulnerable to circadian misalignment.