This Pecan French Toast is a PCOS-friendly recipe.
Nutrition per Serving
Ingredients
Instructions
-
In a large bowl, beat together eggs, orange juice, milk, sugar, nutmeg and vanilla extract. Place bread slices in a tightly spaced single layer in the bottom of a flat dish or baking pan. Pour milk mixture over bread, cover and refrigerate overnight, turning once.
-
When ready to cook, preheat oven to 350 degrees F (175 degrees C).
-
Coat a jelly roll pan or rimmed baking sheet evenly with the melted butter. Arrange soaked bread slices in a single layer on pan. Sprinkle evenly with orange peel and pecans.
-
Bake in preheated oven until golden, 20 to 25 minutes. Check slices during last 10 minutes of baking time to avoid burning.
Why this Pecan French Toast works for PCOS
Lunch is where most PCOS meal plans either succeed or collapse. A meal like this Pecan French Toast that combines adequate protein, fibre-rich carbs, and fat keeps blood sugar stable for the rest of the workday and reduces the late-afternoon energy crash that drives sugar cravings around 3-4pm.
You Have a Recipe. But Do You Have a Full Week?
One great recipe is a start. A complete PCOS meal plan is a system. Here is how to go from one meal to a full week of eating that supports your hormones.
Free. Personalized. No signup required to start.
Frequently Asked Questions
Yes, this Pecan French Toast recipe is designed to be PCOS-friendly., it supports balanced blood sugar and hormonal health.
Yes, this recipe works well as a PCOS-friendly Lunch. Pair it with other PCOS-friendly foods throughout the day for balanced nutrition.
This recipe can be part of a structured PCOS meal plan. It makes 4 servings, making it great for meal prep. For a complete weekly plan tailored to your PCOS type, take our free 60-second quiz at pcosmealplanner.com/pcos-quiz to get a personalized 7-day meal plan.
Cook Another PCOS-Friendly Lunch
Each recipe you add to your rotation makes PCOS management easier. Variety keeps you from getting bored and quitting.
Comments
Register or log in to add a comment