Food order affects blood glucose and insulin levels in women with gestational diabetes
2024

Food Order and Blood Sugar Control in Gestational Diabetes

Sample size: 25 publication 10 minutes Evidence: moderate

Author Information

Author(s): Murugesan Ria, Kumar Janardanan, Thiruselvam Shubhashree, Leela Kakithakara Vajravelu, Geetha K., Satheesan Abhishek, Chaithanya Venkata, Angelin Matcha

Primary Institution: SRM Medical College Hospital and Research Centre

Hypothesis

Does the sequence of food consumption improve glycemic control in women with gestational diabetes?

Conclusion

Eating vegetables first, followed by proteins and carbohydrates, significantly improves blood glucose and insulin levels in women with gestational diabetes.

Supporting Evidence

  • The food-order intervention resulted in a significant reduction in postprandial blood glucose by 5.87% at 60 minutes and 6.06% at 120 minutes.
  • Serum insulin levels decreased by 8.13% at 60 minutes and 11.10% at 120 minutes compared to the regular diet.
  • Participants were monitored via a mobile application for adherence to the dietary intervention.
  • Prioritizing vegetables before carbohydrates helps regulate blood glucose and may reduce the long-term risk of type 2 diabetes.

Takeaway

If you eat your veggies before your proteins and carbs, it can help keep your blood sugar levels steady, especially for pregnant women with diabetes.

Methodology

Twenty-five women with gestational diabetes participated in a four-week trial with two phases: a regular diet and a food-order diet where vegetables were consumed first.

Potential Biases

Potential issues with data accuracy and technology use in dietary tracking.

Limitations

The small sample size may limit the generalizability of the findings, and the short duration of the intervention restricts understanding of long-term effects.

Participant Demographics

Average age of participants was 26.18 years, with a BMI of 30.26 kg/m2.

Statistical Information

P-Value

0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fnut.2024.1512231

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