Whole-grain consumption and cardiometabolic risk: a meta-analysis of randomized trials.

Eur Heart JNov 10, 2026

Sina Naghshi, Sevil Kiani, Alireza Ostadrahimi et al.

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In 30 seconds

This meta-analysis of randomized trials assessed how whole-grain intake affects cardiometabolic risk factors. It included 87 trials (101 publications) and estimated effects per 48 g/day increment in whole grains (dry weight). Intake at this increment was associated with small reductions in body weight, waist circumference, total and LDL cholesterol, triglycerides, fasting plasma glucose, systolic blood pressure, and interleukin-6. The largest effects for most outcomes were observed at approximately 60–100 g/day, although evidence certainty varied and data at higher intakes were sparse.

Key findings

  • Per 48 g/day increment, body weight decreased by MD: -.20 kg (95% CI: -.31 to -.09; n = 41), with high certainty.
  • Total cholesterol decreased by -.10 mmol/L (95% CI: -.13 to -.07; n = 54) per 48 g/day increment, with high certainty.
  • Moderate-certainty reductions included LDL cholesterol (-.07 mmol/L), triglycerides (-.04 mmol/L), fasting plasma glucose (-.03 mmol/L), and systolic blood pressure (-.82 mmHg) per 48 g/day increment.
  • Non-linear analyses found the greatest effects at 60-100 g/day for most outcomes; sparse data at higher intakes limited conclusions about dose thresholds.

Why it matters

The findings suggest that whole-grain intake can modestly improve several cardiometabolic risk factors, rather than affecting only one pathway or measure. The dose-response analyses may help frame dietary research and counseling, but the varied certainty across outcomes and limited evidence at higher intakes mean that precise intake thresholds should not be inferred.

What to keep in mind

Evidence certainty varied by outcome, and sparse data at higher intake levels limited firm conclusions about dose thresholds.

Source

Published in Eur Heart J. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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