Why Student-Athletes Know What to Eat — But Still Don’t
A new cross-sectional study from Jordan reveals that perceived barriers like time, cost, and access are stronger predictors of student-athletes’ diets than gender, training experience, or body weight — and the effect gets worse as BMI increases.
A university student-athlete wakes up for a 6am training session, rushes to lectures all morning, grabs whatever is available between classes, then heads back to practice in the afternoon. By the time the day is done, cooking a balanced meal feels impossible — not because they don’t know what they should eat, but because every practical condition in their life is working against it.
This is the everyday reality that a new peer-reviewed study from Jordan has set out to quantify. Published in Discover Public Health, the research provides some of the clearest evidence yet that perceived barriers to healthy eating — not a lack of nutrition knowledge — are the dominant driver of poor dietary habits among university student-athletes.
The Knowledge-Behaviour Gap in Sports Nutrition
It is well established that athletes require precise, well-timed nutrition to support training, recovery, and performance. Yet study after study finds that even well-informed student-athletes skip meals, under-eat fruits and vegetables, and rely on processed convenience foods far more than dietary guidelines recommend.
The conventional response has been more education: more nutrition workshops, more dietary guidelines, more awareness campaigns. But this study challenges the premise that knowledge is the missing ingredient. The problem, the researchers argue, is not what student-athletes know — it is the structural and practical environment in which they are expected to act on that knowledge.
If student-athletes already have adequate nutrition knowledge, why do their food habits remain poor? This study tests whether perceived barriers — time pressure, cost, and limited access to healthy options — are directly linked to worse dietary patterns, and whether that link is stronger for some athletes than others.
What Are “Perceived Barriers to Healthy Eating”?
Perceived barriers to healthy eating (PBHE) are the obstacles individuals believe prevent them from making consistent, health-promoting food choices. They are distinct from actual nutritional knowledge — a person can know exactly what a balanced diet looks like and still face real-world conditions that make it extremely difficult to follow through.
For university student-athletes specifically, research consistently identifies three clusters of barriers:
How the Study Was Conducted
The researchers recruited 89 university student-athletes (44 male, 45 female) from Al-Ahliyya Amman University in Jordan — all actively participating in organised university sport programmes. Participants completed two validated questionnaires and provided self-reported height and weight for BMI calculation.
- 89 student-athletes from a private university in Jordan — balanced between male (49.4%) and female (50.6%) participants
- Perceived Barriers to Healthy Eating (PBHE) measured with an 11-item scale rated 1–5 (Cronbach’s α = 0.73), adapted to replace “because of job” with “because of university” for contextual relevance
- Food Habits (FH) assessed using a 13-item questionnaire adapted from Turconi et al. (α = 0.72), covering breakfast habits, meal frequency, fruit and vegetable intake, and consumption of sugary snacks and beverages
- Training experience ranged from 2–4 years to 11+ years; nearly half (47.2%) had 5–7 years of experience
- Statistical analyses included Pearson correlation, ANCOVA, multiple regression, and BMI moderation testing using an interaction term (PBHE × BMI)
What the Numbers Revealed
The headline finding is clear and statistically robust: greater perceived barriers to healthy eating are significantly linked to worse food habits. The correlation was moderate and negative (r = −0.45, p = 0.001) — meaning the more barriers a student-athlete perceived, the poorer their dietary patterns tended to be.
Key Results at a Glance
| Predictor | β (standardised) | p-value | Significant? |
|---|---|---|---|
| Perceived Barriers (PBHE) | −0.45 | 0.001 | ✔ Yes |
| Gender | 0.12 | 0.283 | ✘ No |
| BMI (alone) | −0.09 | 0.386 | ✘ No |
| Training Experience | 0.14 | 0.226 | ✘ No |
| PBHE × BMI Interaction | −0.15 | 0.045 | ✔ Yes (exploratory) |
The BMI Moderation: Who Gets Hit Hardest?
One of the most nuanced findings of this study is the BMI interaction effect. At lower BMI levels, perceived barriers still negatively affect food habits — but the slope is gentler. As BMI increases, the same level of perceived barriers produces a stronger deterioration in dietary quality.
Why might this be? The researchers suggest that athletes with higher BMI may face greater energy requirements, weight-related pressures, or heightened sensitivity to environmental food cues — meaning that when practical barriers prevent access to appropriate nutrition, the consequences for their eating patterns are more severe than for leaner athletes.
Importantly, the researchers note that BMI is a limited proxy for body composition in athletic populations — nearly half the sample (47.2%) had a BMI below 18.5, which in athletes may reflect lean muscle mass rather than clinical underweight. This finding should therefore be interpreted as exploratory and directional rather than definitive.
Why Training Experience and Gender Didn’t Matter Much
Perhaps counterintuitively, neither how long an athlete had been training nor their gender significantly predicted food habits in adjusted analyses. This is important because it suggests that experience alone does not build the dietary routines needed to overcome structural barriers — and that intervention priorities should focus on the barriers themselves rather than targeting specific demographic groups.
There was a near-significant trend (p = 0.051) suggesting males may have slightly better food habits than females, which mirrors patterns seen in other research. A larger sample may have made this statistically conclusive. But even if confirmed, the message remains: reducing perceived barriers matters more than designing gender-specific nutrition programs.
Perceived barriers explained meaningful variation in food habits regardless of how long someone had trained, how much they weighed, or what gender they were. This positions barrier reduction — not demographic targeting — as the primary lever for improving student-athlete nutrition.
What Universities and Sports Programmes Can Actually Do
The study is explicit that these are correlational findings, not causal proof — randomised trials are needed to confirm that reducing barriers causes dietary improvement. But the researchers offer a set of practical, feasible campus-level strategies that logically follow from the findings:
Canteens and food outlets that close before evening training sessions end are a structural barrier. Extending hours specifically around practice times removes a major obstacle to adequate post-workout nutrition
Recovery-appropriate snacks and meals available immediately at training facilities reduce the planning burden and make healthy choices the path of least resistance
Subsidising nutrient-dense staples relative to ultra-processed alternatives directly addresses the cost barrier — the single most consistently cited obstacle across the literature
Digitally delivered programmes have shown significant effectiveness at improving both nutrition knowledge and dietary habits in student-athletes — meeting them where they already are
Reducing planning and decision demands through pre-ordered healthy bundles can help time-pressed athletes default to better choices without requiring extra mental effort
Given the moderation finding, ensuring energy-adequate and protein-rich options are readily available for athletes with higher energy requirements may have disproportionate benefit
The Bigger Picture: Moving Beyond Education-Only Approaches
This study fits into a growing body of evidence that challenges the traditional “knowledge deficit” model of nutrition intervention — the assumption that if people just knew more about healthy eating, they would eat more healthily.
In reality, student-athletes often have moderate to good nutrition literacy. They know that vegetables matter. They know that skipping breakfast is suboptimal. They know that recovery nutrition is important. What they lack are the environmental conditions — time, money, access, campus infrastructure — that would allow that knowledge to translate into consistent behaviour.
As the researchers put it: the priority is not more nutrition education in isolation, but strategies that reduce the friction between knowing and doing. This means designing university food environments that make healthy choices the easy, affordable, and convenient default — rather than the high-effort exception that requires planning, money, and time that many student-athletes simply do not have.
Study Limitations Worth Knowing
The researchers are transparent about the boundaries of their findings. The cross-sectional design means causality cannot be established — it is possible that athletes with worse diets perceive more barriers (reverse causality) rather than barriers causing worse diets. The sample of 89 athletes from a single private university in Jordan limits generalisability. Height and weight were self-reported. The study did not distinguish between sports, which may have varying nutritional demands and environmental conditions. Longitudinal and experimental research will be needed to confirm causal relationships.
Key Takeaways from the Research
- Perceived barriers are the strongest predictor of food habits: More than gender, training experience, or BMI category — the degree to which athletes perceive time, cost, and access as obstacles consistently predicted worse dietary patterns
- Knowledge is not the bottleneck: Student-athletes know what healthy eating looks like. The gap is between knowledge and the practical conditions needed to act on it
- BMI amplifies the effect: Athletes with higher BMI showed a steeper negative association between perceived barriers and food habits, suggesting they may benefit most from barrier-reducing interventions
- The solution is environmental, not just educational: Aligning dining hours with training, offering affordable recovery meals at sport venues, and making healthy defaults more accessible are more promising levers than nutrition workshops alone
- Institutions must take responsibility: Universities that invest in sports programmes but neglect the food environment around those programmes are creating conditions that undermine the very athletes they are trying to develop
The most effective nutrition support for student-athletes is not a leaflet or a lecture. It is a food environment that removes the obstacles between what athletes know and what they can realistically choose.
