Carbohydrates and Mortality: The U-Shaped Connection

To many, meta-analyses are seen as a research tool that is often regarded as the pinnacle of evidence in nutrition science. But is this accurate? What exactly makes a meta-analysis reliable or flawed? How can we distinguish between a well-conducted study and one that might mislead even the most well-intentioned reader?

In this episode, through three concrete examples, we explore the fundamental principles of meta-analyses, focusing on key aspects such as study selection, heterogeneity, and effect sizes. We discuss how these elements can significantly impact the conclusions drawn from a meta-analysis and what you should look out for when interpreting their results.

Whether you’re a nutrition professional, a researcher, or simply someone interested in the science behind dietary guidelines, this discussion will help you navigate the often murky waters of meta-analytic research.

Timestamps:

• 05:14 Understanding Meta-Analyses
• 12:11 Example 1: Dairy Consumption and Health
• 39:06 Example 2: Meta-Analysis on Carbohydrate Intake
• 54:59 Example 3: Meta-Analysis on Intermittent Fasting
• 01:02:44 Challenges in Meta-Analysis of Intermittent Fasting
• 01:13:56 Key Ideas Segment (Premium-only)

Links:

• Enroll in the next cohort of our Applied Nutrition Literacy course
• Meta-analyses discussed in the episode:
  • Example 1: Dairy Consumption and Health
  • Example 2: Meta-Analysis on Carbohydrate Intake
  • Example 3: Meta-Analysis on Intermittent Fasting
• Subscribe to Sigma Nutrition Premium