Fun Kids Meals

Diabetes does not mean that kids cannot enjoy a variety of meals. We have shortlisted five healthy meals for children with diabetes. They are easy to make and delicious to eat.

Recipe 1) Fresh Noodle & Vegetable Rolls

Serves 6.

Each Serve: Carbs: 7g, Protein: 1g, Fat: 1g   Add to PredictBGL App


  • 80g dried vermicelli noodles
  • 1 medium carrot
  • 1 medium cucumber
  • 1 medium red capsicum
  • 1/4 small Chinese cabbage
  • 1/2 cup fresh coriander
  • 1/2 cup fresh mint
  • 12 rice paper wraps
  • 1/4 cup caster sugar
  • 0.66 cups water
  • birds eye chilli
  • 1/4 cup lime juice
  • 2 teaspoons rice wine vinegar
  • 2 teaspoons low-salt soy sauce


  1. Soak noodles in boiling water in a large heatproof bowl for 5 minutes; stir to separate strands, then drain.
  2. Cut/ break noodles into shorter lengths.
  3. Grate the carrot. Deseed and finely slice the cucumber and capsicum. Finely shred the Chinese cabbage.
  4. Optional Dipping Sauce – combine the caster sugar, water, sliced chilli (optional), lime juice, rice wine vinegar and soy sauce.
  5. Place noodles in a large bowl; drizzle with 2 tablespoons of the dipping sauce. Add chopped vegetables and herbs; toss to combine.
  6. To assemble rolls, place 1 sheet of rice paper in a medium bowl of warm water until just softened.
  7. Lift sheet from water carefully; place on a board covered with a clean tea towel.
  8. Place 1/3 cup of mixture across lower part of the wrapper, in a neat horizontal pile.
  9. Fold bottom end over, then sides and roll up tightly.
  10. Place on a platter. Repeat with remaining rice paper sheets and vegetable filling.
  11. Serve with dipping sauce or soy sauce (optional).

Recipe courtesy


Recipe 2 ) Macaroni and Cheese

Serves 6.

Each serve: Carbs: 40g, Protein: 24g, Fat: 7g   Add to PredictBGL App


  • 2 tablespoons butter or margarine
  • 1/4 cup all-purpose flour
  • 1/4 teaspoon salt
  • 2 cups fat free milk
  • 1/4 pound Velveeta Light (reduced fat pasteurized prepared cheese product), cut up
  • 1 8-ounce package Kraft Free Shredded Non-Fat Cheddar Cheese
  • 2 cups (8 ounces) elbow macaroni, cooked and drained
  • 2 tablespoons seasoned dry bread crumbs


  1. Melt 1 tablespoon of the butter in a large saucepan on low heat. Blend in flour and salt; cook and stir 1 minute. Gradually add the milk; cook, stirring constantly, until thickened. Add prepared cheese product and 1 1/2 cups of the shredded cheese. Stir until melted. Stir in macaroni.
  2. Pour into a 1 1/2-quart casserole. Melt remaining 1 tablespoon butter; toss with the bread crumbs. Sprinkle casserole with remaining 1/2 cup of the shredded cheese and crumb mixture.
  3. Bake at 350°F for 20 minutes or until thoroughly heated.

Recipe courtesy of Kraft Diabetic Choices


Recipe 3) Chicken Pasta Salad

Per Cup serving: Carbs: 11.1g, Protein: 13.3g, Fat: 3.2g   Add to PredictBGL App

What you need:

  • 8 ounces canned salmon (packed in water, not oil), drained
  • 1 small carrot, peeled and diced
  • 1 tablespoon cucumber, diced
  • 1 scallion, ends removed, finely chopped
  • 1 tablespoon fat-free plain Greek yogurt or low-fat/fat-free mayonnaise
  • ½ teaspoon black pepper
  • Juice of ½ lemon

What to do:

  1. Put all ingredients in a mixing bowl.
  2. Stir well to combine. Serve and enjoy!


Recipe 4) Kids friendly meat balls

Serves 8. Per 2 meatballs:

Carbs: 8g, Protein: 10g, Fat: 4.5g   Add to PredictBGL App



½ cup ketchup
3 tablespoons balsamic vinegar

1 pound 93% lean ground turkey
1/2 zucchini, grated
1 carrot, grated
1/2 onion, grated
1 clove garlic, minced
2 teaspoons chili powder
1/4 teaspoon ground black pepper
1/4 teaspoon salt (optional)
1 egg, slightly beaten
1/2 cup rolled oats
3 tablespoons freshly grated Parmesan cheese

What to do

  1. Preheat oven to 350 degrees.
  2. In a small bowl, whisk together sauce ingredients.
  3. In a medium bowl, mix together meatball ingredients. Shape into 1-inch balls.
  4. Place meatballs on a baking sheet and top evenly with sauce (1½ teaspoon per meatball).
  5. Bake for 45 minutes or until done.

Recipe courtesy:

Recipe 5) Waffled-eggs



8 eggs
½ cup milk
½ cup shredded cheddar cheese
½ cup cooked ground sausage (substitute ham or bacon if preferred)
¼ diced onion
¼ diced green pepper (or other vegetables of choice)
Salt and pepper, to taste

Serves 8. Each serve:

Carbs: 2g, Protein: 9g, Fat: 9.5g   Add to PredictBGL App


Preheat waffle iron to medium setting. Spray cooking surface with nonstick cooking spray.
Beat eggs, milk, salt, and pepper in a medium bowl until blended. Stir in sausage, onions, and green peppers.
Evenly pour half of egg mixture over the four squares of a standard waffle iron.
Shut waffle iron and let cook for 45 seconds to 1 minute, until eggs are set. Open waffle iron and remove waffles with a fork.
Repeat with remaining egg mixture.

Recipe courtesy:
Do you have your own favorite recipes? Let us know below!


Did you know that you can now manage your child’s diabetes at the touch of a button? For more information go to

Diabetes: Why @IBMWatson Sucks The Big One

You might remember IBM’s Deep Blue computer, that managed to beat reigning Chess World Champion Gary Kasparov. In essence, rather than simply playing chess, DeepBlue looked up a huge list of games from other chess champions, and replayed them against Kasparov. In the end, an usual move by DeepBlue, actually the result of a programming bug only admitted 15 years later, sent Kasparov into a tail-spin.

So fast-forward to 2016, and DeepBlue is now remarketed as IBMWatson, in a fairly thin reference to Sherlock Holmes’ assistant (who was a doctor).

For the last 2 years, every digital health meetup, or medtech meeting I have been to, both in Australia and in the USA, has a speaker from IBM, who simply shows a concept video of how IBM Watson is going to revolutionize health care.

But for 2 years, I have not seen a product demo. And I have not spoken to anyone who has actually used it.

But I keep seeing the same marketing video – over and over again.

And when we were looking at organizing online courses for nurses to learn about PredictBGL, we found that IBM had paid to put up its own promotional videos! Imagine, an entire generation of nurses getting CPD (continuing professional development) points for watching IBM’s promo video! And yet, not one of these nurses will be using anything like IBMWatson for 15 years.

Vaporware, IBM?

And now IBM has overextend itself again, with a move to predict blood sugars for diabetics.

With diabetes – it’s very difficult to generalize about two patients. Two people with the same height, weight and level of fitness can have completely difference insulin doses. This is why diabetes requires self-management, because ultimately, you have to know yourself better than your doctor. Population models do not work.

But according to Medtronic’s cautious partnership release, IBMWatson will use “…data combined with numerous other sources of data such as electronic medical records, health insurance claims and population health data to uncover patterns and predict health risks using advanced analytics models.”

This ‘SugarWise’ looks like the DeepBlue model over again – find someone else from the population who ‘looks like’ person A, and then assume that their life, eating patterns, sleep/wake routines, medications, insulin doses, biometrics and metabolism are the same – and hey presto! A blood sugar prediction.

Except it will be crap.

Because there is no way that even my life today resembles yesterday, and there is no way that you can assume that someone else’s life can be replayed to predict mine.

Statistical population models cannot predict your blood sugars right now.

For example, the risk of you having bowel cancer aged 50+ might be 0.2%. But what if you actually have bowel cancer, and the doctor refuses to test for it because of a population-based cost-benefit model? Your personal statistics are different to population statistics.

The same with the risk of a Hypo (low blood sugar). The population model might say that few people have a Hypo at 8:15am. But how does that help you if you DO have a hypo at 8:15am?

If you want to see the revolution in diabetes self management, and REAL prediction of future blood sugars – checkout

No Watson involved. No Hype. No Vaporware. No invasive devices required.

And we’ve been doing it for 2.5 years.

In the App Store and Google Play right now.

Welcome to the World, Simon Carter on Diabetes

I thought I’d start this blog with an excerpt from 6 Tricks of Better Diabetes Management, which is available to people who sign up to or who sign up for our newsletter.

To focus these goals, remember that your goal as a PWD (person with diabetes) is to avoid both:

  • short term complications ie hypos, and
  • long term complications such as kidney failure, blindness, heart disease and nerve damage (which can lead to amputations. Yuck).

How do we avoid long term complications? Two Rules:

Rule 1. Have a low average blood sugar (indicated by your A1C test, less than 7.0% is good)

Rule 2. Reduce the big swings from high to low to high. Each swing damages the tiny blood vessels of the eyes, heart, kidney and fingers/toes. Not much, but it gradually builds up over time.

So without further ado, here is Part 1.

1. Ensure your Hypo Response food is appropriate

I know the temptation to devour huge amounts of ‘off-limits’ foods when you get low at 2am. But this is the worst thing you can do – remember Rule 2. Instead, use glucose tablets (4g carbs each) or jelly beans (3g – 5g each) or something cheap with a SMALL amount of carbs. Remember, you can easily have 3 jelly beans, but you can’t easily have a can of coke when you’re low. It’s waaaaaay too much sugar. Incidentally, you can tell PredictBGL what you use, and it will figure out how much you need when you are low.

5 Rules to go! Feedback welcome!