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The Nutrition Examination Research Digest (NERD) aims to provide rigorous, unbiased analysis of the latest and most important nutrition and supplementation studies. Click here to subscribe or login if already a subscriber .

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NERD Mini: Food groups’ association with the risk of overweight and obesity

How much do certain food groups contribute to obesity risk? A recent systematic review and meta-analysis explored this question.

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Other Articles in Issue #55 (May 2019)

  • NERD Mini: The state of the evidence concerning A1 beta-casein
    A1 beta-casein is a type of protein found in the milk of certain breeds of cattle. There's some evidence to suggest that this protein is associated with negative health outcomes. But how good is this evidence?
  • Examining coenzyme Q10 for migraine relief
    The exact causes of migraine headaches aren't fully known, but part of the equation may involve mitochondrial problems. Could supplementing a major player in mitochondrial energy production help mitigate migraines?
  • Are we saffroning our way to mitigating diabetes?
    Certain herbs and spices may have a beneficial impact on diabetes. We've covered lemon balm and cinnamon in the past. In this volume, we add saffron to the list of spices we've examined in the NERD.
  • Pomegranate power
    Pomegranate's antioxidant capacity may be one of a handful of reasons it could help with both exercise performance and recovery. This recent clinical trial put pomegranate extract to the test by exploring its effects in cyclists.
  • The myth of the sugar rush
    Common sense and plausible mechanistic arguments suggest that carbohydrates can influence mood. But do they? And by how much?
  • Dietary carbohydrate for glycemic control: Does it matter in type 1 diabetes?
    This randomized controlled trial adds to the scarce literature examining the medium-term effects of a lower carb diet in people with type 1 diabetes.
  • Gucci vs. Gap carbs
    Quality matters when it comes to carbs. This series of meta-analyses explored what measures of carb quality are most useful for predicting health outcomes.