Why Medical Students Copy Their Peers: Sudan Study Reveals Social Roots of Preventive Health Compliance

When a medical student reaches for hand sanitizer before touching a patient, the decision may owe less to what they know about infection control than to what they have watched their classmates do all semester. That is the central finding of a new multi-institutional study from Sudan, where researchers tracked preventive health behaviors among 400 undergraduate medical students across five universities in Khartoum State. The results, published in BMC Medical Education, suggest that adherence to practices like hand hygiene and mask use is shaped primarily by observational peer influence and perceived institutional culture rather than by individual demographic characteristics or knowledge alone.

The research team, led by Maria Badraldin Ali Saga of Al-Neelain University and Ahmad Mohammad Al Zamel, conducted a cross-sectional survey between June and November 2025. Participants completed a structured, self-administered online questionnaire grounded in established behavioral frameworks, including the Capability, Opportunity, Motivation and Behavior model, a widely used framework that treats behavior as the product of psychological capability, physical and social opportunity, and reflective and automatic motivation. Preventive behaviors, peer influence, and institutional culture were each measured with Likert-scale items and summarized into composite scores, allowing the researchers to quantify how strongly each domain tracked with actual compliance.

The headline numbers reveal a telling asymmetry. Overall adherence to preventive health behaviors was generally favorable, but the consistency varied dramatically by practice. Hand hygiene showed the highest compliance at 66.4 percent, while mask use lagged at just 46.0 percent. That gap is itself informative: handwashing is a deeply embedded habit reinforced in nearly every clinical and non-clinical setting, whereas mask wearing depends more heavily on situational cues and social signaling. When the surrounding environment stops cueing a behavior, the behavior decays, a pattern consistent with decades of research on habit formation and behavioral maintenance.

To probe what was driving compliance, the researchers turned to Spearman correlation analysis, a non-parametric statistical technique that measures how tightly two variables move together without assuming a linear relationship. The analysis found significant positive correlations between preventive behaviors, peer influence, and perceived institutional culture, all at p < 0.01, meaning the probability of observing such associations by chance alone was less than one percent. Observational peer influence, particularly the role-modeling component, showed strong associations with adherence, with correlation coefficients ranging from 0.32 to 0.49. Institutional culture variables showed moderate associations, with coefficients between 0.43 and 0.52.

Correlation coefficients of this magnitude are meaningful in behavioral science. In social psychology, effect sizes around 0.3 are typically considered moderate, and values approaching 0.5 are substantial for predictors of complex human behavior. The fact that role modeling, the process by which students unconsciously calibrate their own actions to those of senior peers and near-peers, outperformed most other measured variables suggests that medical students are not primarily reasoning their way to compliance. They are imitating their way there. This aligns with observational learning theory, in which humans acquire behaviors by watching others perform them and inferring the consequences, a mechanism that operates largely outside conscious deliberation.

The multivariate linear regression analysis added a second layer of insight. Unlike simple correlation, regression allows researchers to isolate the independent contribution of each predictor while statistically adjusting for all others. In this model, demographic variables mostly fell away as significant predictors, but two stood out. First-year students demonstrated lower adherence, with a standardized beta coefficient of -0.92 and a p-value of 0.010, indicating that the association was unlikely to be a statistical fluke. Living with family was associated with higher compliance, with a beta of 0.28 and a p-value of 0.019. The large negative beta for first-year status suggests that the earliest stage of medical training is a critical window: students who have not yet absorbed the professional norms of clinical environments comply less, and the effect is substantial relative to the other measured predictors.

The finding on family living arrangements is equally intriguing from a behavioral science perspective. Students who live with family may benefit from a home environment that reinforces preventive practices, from shared hygiene routines to household expectations about illness prevention. In a resource-constrained setting like Khartoum, where the study was conducted amid ongoing economic and institutional pressures on Sudan’s health system, the household may function as a parallel site of behavioral reinforcement that clinical training alone cannot provide. The authors note that other demographic variables, including age, gender, and university affiliation, were not significant predictors once social and institutional factors were accounted for, a result that underscores how thoroughly contextual these behaviors are.

The theoretical implications reach beyond Sudan. The study’s framework draws on the COM-B model, which posits that behavior occurs when capability, opportunity, and motivation converge. In this study, the strongest measured predictors map onto the opportunity domain: social opportunity, expressed through peer norms and role modeling, and physical opportunity, expressed through institutional culture and environmental support. If the strongest levers of behavior are social and structural rather than informational, then knowledge-based interventions, the default approach in much of medical education, are targeting the wrong variable. Lectures on infection control can raise capability, but they cannot manufacture the social cues that make compliance automatic.

The authors argue that interventions leveraging peer influence, strengthening professional norms, and promoting supportive institutional cultures may be more effective than knowledge-based approaches alone, particularly in low- and middle-income countries where resources for behavioral infrastructure are limited. Practically, this could mean designing onboarding experiences that pair junior students with senior role models who visibly practice preventive behaviors, or reshaping institutional environments so that compliance cues, from sanitizer placement to supervisor behavior, are ubiquitous rather than optional. It could also mean treating the first year of medical school as a norm-setting period, since the regression data show that early students lag in adherence and that this gap likely closes as professional socialization proceeds.

The study has limitations inherent to its design. As a cross-sectional survey, it captures associations at a single point in time and cannot establish causation; it is possible that students who comply with preventive behaviors also perceive more peer influence and stronger institutional cultures, rather than the reverse. Self-reported data collected through online questionnaires are also vulnerable to social desirability bias, particularly among medical students who know what answers are professionally expected. Still, the consistency of the pattern across correlation and regression analyses, and the alignment with established behavioral frameworks, gives the findings weight. The research was approved by the National University Research Ethics Committee in Khartoum and carried out in accordance with the Declaration of Helsinki, with electronic informed consent obtained from all participants. As health systems worldwide continue to grapple with compliance gaps that persist despite widespread knowledge, this Sudanese study offers a pointed reminder that the most powerful determinant of whether a future doctor washes their hands may be the behavior of the person standing next to them.

Subject of Research: Health Behavior and Medical Education

Article Title: Observational peer influence and institutional culture as predictors of preventive health compliance among Sudanese medical students

Article References: Saga, M. B. A., Al Zamel, A. M., Abdelazim, K., Eldouma, M. Y. M., Eltohami, F. M., Alradi, T. A. M., Omer, H. F. E., Ahmed, O. M., abd elbasit Ahmed, D. E., Elmadani, M. E. H., Azhari, O. A., Abdalla, S. F., & Saeed, A. A. (2026). Observational peer influence and institutional culture as predictors of preventive health compliance among Sudanese medical students. BMC Medical Education. https://doi.org/10.1186/s12909-026-10638-4

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10638-4

Keywords: peer influence, institutional culture, preventive health behaviors, medical students, Sudan, hand hygiene, COM-B model, medical education, social norms, BMC Medical Education, Observational, peer