Nutrition teaching reliably lifts athletes' knowledge
Pooling 14 trials in 755 athletes, structured nutrition education produced a large improvement in nutrition knowledge (Hedges' g of .949); study design, delivery mode, programme length and use of a validated questionnaire all explained variation in results, while participant age and intervention type did not.
Why it matters
Nutrition knowledge is consistently reported as low among athletes, which may limit dietary intake, recovery and health outcomes as much as any training error does. Sports dietitians are expected to close that gap through education, yet there has been no agreed standard for how such programmes should be designed or delivered. Individual studies have shown that education can raise knowledge scores, but they vary enormously in format, duration and how knowledge is even measured. This review asked both whether nutrition education works overall and which design features distinguish the interventions that work best.
What they did
The authors searched seven databases, including SPORTDiscus, MEDLINE, ERIC and CINAHL Plus, retrieving 125 studies of which 14 met inclusion criteria. Those trials represented 755 athletes aged 10-32 drawn from a range of sports. A random-effects meta-analysis using the DerSimonian-Laird procedure pooled the effect of nutrition education on nutrition knowledge, with effect sizes expressed as Hedges' g. Moderator analyses then tested whether study design, mode of delivery, intervention type, programme length, participant age and use of a validated knowledge survey accounted for differences between studies, and publication bias was examined with a funnel plot and Egger's test.
What they found
The pooled effect of nutrition education on nutrition knowledge was .949 (95% CI .728 to 1.171, p < .001) — a large, statistically significant improvement. Moderator analyses found that study design, mode of intervention, programme length and whether a validated knowledge survey was used each significantly influenced the size of the effect. By contrast, intervention type and participant age showed no significant differences, suggesting younger and older athletes responded similarly. Funnel plot asymmetry raised the possibility of publication bias, although Egger's test was non-significant (p = .897), leaving that concern unresolved rather than dismissed.
What it actually shows
Meta-analysis of 14 studies and 755 athletes aged 10-32 across mixed sports; the outcome is knowledge on questionnaires, not diet quality, body composition or performance, and funnel plot asymmetry suggests possible publication bias.
Review · Int J Exerc Sci
Where it fits
This confirms the prior expectation that education raises knowledge, and adds something new by identifying which design characteristics track with bigger gains — the practical guidance the field had been missing. It also flags a methodological problem: the choice of measurement instrument itself shaped the apparent effect, so studies using unvalidated surveys are hard to compare with those that did not. The review cannot say whether better knowledge translates into changed eating, improved body composition or better performance, because those outcomes were not the pooled endpoint. Whether effects persist beyond the intervention period also remains open.
What it means for you
The evidence supports the idea that nutrition knowledge is teachable and that gains can be substantial, not marginal — and that this holds across a wide age range of athletes. It is a reason to think the format and duration of the learning matters as much as the content, since how a programme was delivered and how long it ran both predicted its measured success. It is not evidence that knowing more automatically means eating better; the gap between knowledge and behaviour was not tested here. Anyone judging a nutrition education offering might reasonably ask how the provider measures whether it worked.
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