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Regulatory · 04 of 05

No new regulatory action; vitamin D and stress fracture, with a subgroup that inverts the message

Lower vitamin D was associated with stress fractures in military personnel and men, but only in populations where controls were already vitamin D sufficient — and this is association, not evidence for supplementation.

No new approvals, withdrawals or safety communications affecting orthopaedic practice today.

A meta-analysis of 15 studies and 4,183 participants found lower serum vitamin D in people who sustained stress fractures than in controls, by a mean of 5.82 nmol/L. The association held in military personnel (-7.33) and in men (-9.14), and was not detected in athletes or in women.

The meta-regression is where it becomes interesting. Baseline vitamin D status explained more than half the heterogeneity between studies (R² 53.8%), and the association was present only where control participants were already vitamin D sufficient — there the difference was -13.53 nmol/L.

That is the opposite of the intuitive reading. In populations where controls are broadly deficient, low vitamin D does not distinguish those who fracture, because nearly everyone is low. The signal appears where deficiency is unusual — which is consistent with vitamin D mattering, and also with it acting as a marker of something else that differs in a mostly-sufficient population.

The study measures association, not the effect of supplementation. Supplementation trials for stress fracture prevention have been mixed, and nothing here changes that.

  • No new approvals, recalls or safety communications for orthopaedics today
  • Association absent in athletes and in women
  • Present only where control populations were already vitamin D sufficient
  • Baseline status explained over half the between-study heterogeneity
  • Observational — this is not evidence that supplementation prevents fractures

The statistics, in plain English

A meta-regression R² of 53.8% means baseline vitamin D status accounts for over half the variation in results between studies — an unusually strong explanation for heterogeneity, and more informative than the pooled estimate it explains. When a moderator does that much work, the overall summary figure is close to meaningless and the subgroups are the finding.

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