Vitamin D boosted sperm motility by 6.96% and testosterone slightly, but had no measurable effect on pregnancy or live birth rates (n=1,168)
Journal: PeerJ | Published: 2026-04-13 | Type: Systematic Review, Meta-Analysis | PMID: 42004696 Authors: Zhang Guoqing, Nelli Giribabu, Hoe See Ziau, Hamdan Mukhri (Universiti Malaya, Kuala Lumpur) Funding/COI: Funding not reported. Giribabu is an editorial board member of PeerJ but was excluded from the peer review decision for this manuscript.
Eleven studies (eight RCTs, three observational; n=1,168) found that oral vitamin D supplementation produces small but statistically significant improvements in semen volume, sperm concentration, progressive motility, and testosterone in infertile men. The catch: none of that translated into clinical pregnancy or live birth rates in the two trials that actually measured them. Whether lab-level sperm improvements mean anything for real-world fertility remains unanswered.
This is a pre-registered (PROSPERO: CRD420251017427), PRISMA 2020-compliant meta-analysis drawing from five databases and using validated risk-of-bias tools (RoB 2.0 for RCTs, ROBINS-I for observational studies). Subgroup and sensitivity analyses were conducted, including stratification by dose, duration (≤3 months vs. 5–6 months), and baseline vitamin D status. The 5–6 month follow-up window is biologically appropriate given human spermatogenesis requires roughly 64–74 days.
Eleven studies and 1,168 participants is a thin evidence base. Heterogeneity across included studies was substantial and not fully resolved by subgroup analyses, and the authors did not conduct a formal GRADE assessment. Several trials co-administered calcium alongside vitamin D, complicating attribution of observed effects to vitamin D alone.
The sperm metrics moved; the pregnancies didn't. That gap is the paper's most important finding, and credit to the authors for stating it plainly rather than overselling. The meta-analysis is competently assembled within its constraints — pre-registration, proper bias tools, multiple sensitivity analyses — but two pregnancy endpoints across eleven studies is too thin a foundation for clinical inference. The heterogeneity problem is acknowledged but unsolved, calcium co-supplementation muddies the mechanism, and Gheflati et al. is doing enough work across pooled analyses to matter more than its n=22 deserves. Worth reading for the motility and testosterone data; treat the sperm morphology finding as noise.