Awareness Alone Does Not Protect: What Shapes Dental Students’ Infection Safety Habits

Dental clinics occupy a peculiar position in the landscape of healthcare-associated infection risk. Dentists and their trainees work inches away from open aerosols of saliva and blood, handle sharp instruments coated with biological material, and treat patients whose infectious status is often unknown. For students learning the craft, the stakes are unusually high: they are simultaneously the least experienced operators in the room and among the most exposed. A new cross-sectional study from Eskişehir Osmangazi University in Türkiye now offers a statistically detailed picture of what actually drives protective behavior in this population, and its central finding is a sobering one for infection-control educators everywhere. Simply knowing about communicable disease risks, the study suggests, does not translate into protective action. What matters far more is how far along the clinical training pathway a student has progressed, and whether the student is female or male.

The research, published in BMC Medical Education by Merve Candan, Melike İdacı, Feyza Topbaşoğlu, and Alper Çamgöz of the university’s Department of Pediatric Dentistry, surveyed 441 dental students at a single faculty. The response rate of 75.3 percent was high enough to give the sample meaningful weight, and the investigators classified participants into three groups according to their level of patient contact: preclinical students who had not yet treated patients, observer students who shadowed clinical work, and clinical students who performed procedures themselves. This stratification is more than administrative convenience. It allowed the team to test a hypothesis that has long circulated in health-professions education, namely that exposure to real patients and real clinical environments is what converts abstract knowledge about infection into concrete habits of protection.

To measure the outcome, the researchers used the Communicable Diseases Risk Awareness and Protection Scale, a questionnaire instrument that captures both cognitive awareness of disease risks and self-reported protective behaviors, alongside demographic items. The statistical machinery applied to the data was correspondingly layered. Group differences were tested with one-way analysis of variance and Bonferroni-corrected post hoc comparisons, with effect sizes reported so that readers could judge not just statistical significance but practical magnitude. Independent-samples t-tests compared male and female respondents. Then came the analytical core: multiple linear regression to identify independent predictors of protective behavior, and an observed-variable path analysis to decompose the association between each predictor and behavior into a direct pathway and an indirect pathway running through risk awareness.

The results paint a clear developmental gradient. Preclinical students scored significantly lower than both observer and clinical students on the behavior dimension and on the total scale score, with p-values below 0.001, while the observer and clinical groups did not differ from each other. In other words, the jump in protective behavior occurs at the threshold of patient contact, not gradually across the later stages of training. Once students begin observing and then performing clinical work, their protective practices appear to consolidate quickly and then plateau. This pattern is consistent with the idea that infection-control behavior is learned less through lectures about hepatitis B or HIV transmission and more through the embodied experience of sitting chairside, where a splash of saliva or a needlestick near-miss carries immediate, visceral meaning.

Gender emerged as the other dominant axis of difference. Female students scored higher than male students on every dimension of the scale, with all comparisons reaching significance at p ≤ 0.01. This finding echoes a broader literature on gender differences in health-protective behavior, in which women across many populations report greater engagement with precautionary practices, from hand hygiene to mask wearing. In the dental training context, the authors’ data indicate that this gap is present across the awareness and behavior dimensions alike, meaning the disparity is not merely a matter of women knowing more about risks; they also act more consistently on that knowledge. The consistency of the gender effect across all scale dimensions strengthens the case that it reflects a genuine behavioral orientation rather than a measurement artifact.

The regression analysis sharpened the picture considerably. When gender and clinical training stage were entered together as predictors of protective behavior, the primary outcome of the study, only these two variables remained significant. Being female predicted higher protective behavior with p < 0.001, and advancing clinical training stage predicted it with p = 0.004. Risk awareness, the variable one might intuitively expect to be the engine of protective action, did not stand up as an independent driver once these factors were accounted for. For educators who have invested heavily in knowledge-based infection-control curricula, this is an uncomfortable result: the knowledge students acquire appears weakly coupled to what they actually do at the chair.

The path analysis pushed this conclusion further. For gender, the model identified both a direct association with protective behavior and an indirect association operating through risk awareness, with the indirect path significant at p = 0.003. This means that part of the female advantage in protective behavior can be statistically attributed to higher awareness, but a substantial direct effect persists even after that mediation is accounted for. For clinical training stage, the story was different in an instructive way: the total association with behavior was significant at p = 0.032, but neither the direct path nor the indirect path through awareness was individually significant. The authors interpret this as evidence that the overall effect of training stage on behavior is real but diffuse, distributed across pathways too small to reach significance on their own, and crucially not channeled through increased risk awareness.

That last point deserves emphasis because it strikes at a foundational assumption of the classic knowledge–attitude–practice framework that has shaped health-education interventions for decades. The framework presumes a causal chain running from knowledge to attitude to behavior, and it underwrites countless training programs that measure success by gains in knowledge scores. The present study found that increased risk awareness was not directly reflected in protective behavior, and that a strong awareness-mediated pathway to behavior was not supported in the data. Awareness rose only weakly with advancing clinical training stage, while behavior rose substantially. The two constructs, in this population, appear to move on largely separate tracks, driven by different forces.

The practical implications follow naturally. If protective behavior improves mainly with hands-on clinical exposure, then infection-control education should be embedded in clinical practice rather than delivered as preclinical theory alone. Simulation-based training, early chairside mentoring, and structured feedback on personal protective equipment use may do more to build durable habits than additional didactic content. If the gender gap is robust, as it appears to be here, then targeted interventions for male students, perhaps emphasizing the personal and professional stakes of consistent protection, could close a disparity that currently leaves one half of the trainee population less protected. And if awareness alone is a weak lever, then measuring awareness as a proxy for safety culture in dental schools may be misleading, giving educators false comfort while actual chairside practices lag behind.

The authors are appropriately cautious about the limits of their design. A cross-sectional study captures a single moment in time, so it can identify associations but cannot establish that clinical exposure causes improved behavior, however plausible that mechanism appears. The sample came from a single institution, which raises fair questions about generalizability to dental faculties with different curricula, patient populations, or infection-control resources. Self-reported protective behavior is also vulnerable to social desirability bias, since students may overstate their compliance with protocols they know they should follow. Yet the study’s methodological rigor, including effect-size reporting, multicollinearity checks via variance inflation factors, and adherence to STROBE reporting guidelines, gives its findings credibility. For a profession whose daily work unfolds at the boundary between clinician and contagion, the message is clear: the safest dental students are not necessarily the best informed, but the most experienced and, in this dataset, the female ones. Building protective instinct, it seems, requires the clinic itself as the classroom.

Subject of Research: Determinants of communicable disease risk awareness and protective behaviors among dental students

Article Title: Determinants of communicable disease risk awareness and protective behaviors among dental students: a path analysis-based cross-sectional study

Article References: Candan, M., İdacı, M., Topbaşoğlu, F., & Çamgöz, A. (2026). Determinants of communicable disease risk awareness and protective behaviors among dental students: a path analysis-based cross-sectional study. BMC Medical Education. https://doi.org/10.1186/s12909-026-10543-w

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10543-w

Keywords: dental education, infection control, communicable diseases, risk awareness, protective behavior, path analysis, cross-sectional study, clinical training, gender differences, health professions education, dental students, public health