Your Best T1D Year

You pre-bolus. You give it the 15 minutes. You watch the arrow. And you're still spiking. Don't throw out the challenge, that spike is a clue. Neil puts on the detective hat, because timing is huge, but it isn't the only dial on the dashboard.
If your timing's perfect and you're still climbing, the amount may be the problem, and the most common culprit is the carb count. A study by Brazeau found that adults with type 1, averaging 21 years of experience, were off by about 15 grams of carb per meal, roughly 21% of the plate, and underestimated 63% of the time. Neil walks through the other usual suspects too, fat and protein, stress, hormones, and exercise, and how to troubleshoot with your care team.
In this episode:
Why perfect timing doesn't always fix a spike
The Brazeau study: even veterans miss carb counts by about 15 grams
The other suspects: fat, protein, stress, hormones, exercise
How to play detective on one meal without changing doses solo
This Week's Challenge: If you're pre-bolusing well and still spiking, play detective on one meal. Weigh or honestly eyeball the carbs, see if the count was off, and bring what you find to your care team.
Helpful resources and newsletter: https://yourbestt1dyear.com
Connect with Neil: TikTok: https://tiktok.com/@the.betes Instagram: https://instagram.com/thebetes Facebook: https://facebook.com/neilgreathouse LinkedIn: https://linkedin.com/in/neil-greathouse-a607b912 Website: https://yourbestt1dyear.com
Books on Amazon: Type 1 Diabetes – One Day at a Time: https://a.co/d/6UHooWJ Type 1 Diabetes – True Stories: https://a.co/d/dfIlyI1

"Neil, I use Fiasp, or Lyumjev, or Afrezza, do I even have to wait?" Great question, and this episode gets genuinely nerdy about the answer. Fiasp and Lyumjev are ultra-rapid analogs, built with ingredients (niacinamide in Fiasp, citrate and treprostinil in Lyumjev) that speed up subcutaneous absorption. Afrezza is inhaled Technosphere insulin with a Tmax around 12 to 15 minutes that delivers more than half its effect in the first hour, versus about 10% for regular rapid insulin.
So the fast insulins shrink the pre-bolus window. But here's the honest part: most people aren't on them, and standard rapid insulins like Humalog and Novolog are excellent. The whole point of the challenge, timing, is the great equalizer. Know your insulin, and you know how big your head start should be.
In this episode:
The pharmacology of Fiasp, Lyumjev, and Afrezza, in plain English
Why inhaled Technosphere insulin peaks in about 12 minutes
Why the fast insulins shrink, but don't erase, the pre-bolus window
Why standard rapid insulins still run beautiful numbers
This Week's Challenge: Know your insulin. Look up, or ask your care team, roughly how fast the insulin you take starts working. That one fact tells you how big your head start should be.
Helpful resources and newsletter: https://yourbestt1dyear.com
Connect with Neil: TikTok: https://tiktok.com/@the.betes Instagram: https://instagram.com/thebetes Facebook: https://facebook.com/neilgreathouse LinkedIn: https://linkedin.com/in/neil-greathouse-a607b912 Website: https://yourbestt1dyear.com
Books on Amazon: Type 1 Diabetes – One Day at a Time: https://a.co/d/6UHooWJ Type 1 Diabetes – True Stories: https://a.co/d/dfIlyI1

If you're on a closed-loop system, Control-IQ, Omnipod 5, or Loop, you've probably wondered whether the algorithm means you're off the hook for pre-bolusing. Neil has to be the one to tell you: you still do it. These systems are an incredible co-pilot, but they're not a self-driving car you can nap in.
Here's the reason, with a real number. In Omnipod 5 data, when people skipped the meal bolus, the algorithm poured in about 16% of their total daily insulin over the four hours after the meal trying to catch up, and it still couldn't stop the spike. These hybrid closed-loop, or automated insulin delivery (AID), systems are reactive, they respond after glucose rises. The guidance to bolus 10 to 15 minutes early is published, not opinion.
In this episode:
Why closed-loop pumps still need you to pre-bolus your meals
The Omnipod data: the algorithm used ~16% of daily insulin and still spiked
Why AID systems are reactive, not predictive
Why bolusing TOO early can backfire on a closed loop
This Week's Challenge: If you're on a closed-loop system, give your meal dose about 10 to 15 minutes before dinner and watch how your system rides along. Compare it to dosing at your first bite.
Helpful resources and newsletter: https://yourbestt1dyear.com
Connect with Neil: TikTok: https://tiktok.com/@the.betes Instagram: https://instagram.com/thebetes Facebook: https://facebook.com/neilgreathouse LinkedIn: https://linkedin.com/in/neil-greathouse-a607b912 Website: https://yourbestt1dyear.com
Books on Amazon: Type 1 Diabetes – One Day at a Time: https://a.co/d/6UHooWJ Type 1 Diabetes – True Stories: https://a.co/d/dfIlyI1

Some nights you do everything right and it still goes sideways. The dinner party, the cookout with the moving-target food, the night you're so fried you only remember to bolus while scraping the plate. This is permission day. Missing doesn't mean you failed the challenge, it means you have a life with other humans in it.
Neil gives the real-life moves for the messy nights, and grounds them in data. Remember that 27% of meals get a late or missed bolus? Here's the kicker: young people with type 1 who never miss their boluses were 24.5 times more likely to be in excellent control than poor control. So catching a forgotten dose and taking it late isn't damage control, it's the single biggest difference-maker on the board. A late bolus beats a no bolus every time.
In this episode:
Real-life moves for social meals, cookouts, and buffets
What to do the night you completely forget to bolus
Why kids who never miss boluses were 24.5x more likely to be in great control
Why consistency, not perfection, is the whole secret
This Week's Challenge: Have one of those messy nights, and practice not spiraling. Miss it, catch it, move on. Prove to yourself one imperfect night doesn't torch the whole thing.
Helpful resources and newsletter: https://yourbestt1dyear.com
Connect with Neil: TikTok: https://tiktok.com/@the.betes Instagram: https://instagram.com/thebetes Facebook: https://facebook.com/neilgreathouse LinkedIn: https://linkedin.com/in/neil-greathouse-a607b912 Website: https://yourbestt1dyear.com
Books on Amazon: Type 1 Diabetes – One Day at a Time: https://a.co/d/6UHooWJ Type 1 Diabetes – True Stories: https://a.co/d/dfIlyI1

Some meals spike you and move on. Pizza spikes you, waves goodbye, and comes back four hours later like a horror-movie villain. If you've ever been 110 at bedtime and 260 at midnight, this episode explains the ambush, and it's backed by real research.
A 2013 study led by Howard Wolpert in Diabetes Care fed people the same carbs, but one meal was high in fat. The high-fat meal required about 42% more insulin over the following five to ten hours and drove hyperglycemia for hours, even with extra insulin. The reason is that fat slows gastric emptying, so glucose trickles out over hours instead of arriving at once. Neil explains the tools that help, extended, combo, and dual-wave boluses, and why carb-counting math alone can't cover pizza.
In this episode:
Why high-fat meals like pizza cause a delayed, second-wave spike
The Wolpert study: 42% more insulin for a high-fat meal, same carbs
How fat slows gastric emptying and stretches out your glucose rise
Extended, combo, and dual-wave boluses, explained simply
This Week's Challenge: Next time you eat a high-fat meal, just watch what happens two, three, four hours later. Witness the second wave, then ask your care team if an extended bolus makes sense for you.
Helpful resources and newsletter: https://yourbestt1dyear.com
Connect with Neil: TikTok: https://tiktok.com/@the.betes Instagram: https://instagram.com/thebetes Facebook: https://facebook.com/neilgreathouse LinkedIn: https://linkedin.com/in/neil-greathouse-a607b912 Website: https://yourbestt1dyear.com
Books on Amazon: Type 1 Diabetes – One Day at a Time: https://a.co/d/6UHooWJ Type 1 Diabetes – True Stories: https://a.co/d/dfIlyI1