Practiceby Lab 10 Get started ›
Crossfire

If I don't have diabetes, is it worth trying to flatten my blood sugar spikes?

What the experts say

Jessie InchauspéMSc biochemistry · science communicator and founder; not a clinician, dietitian or nutrition scientist

Yes, and it is the most useful thing you can act on.

What it rests onObservational evidence that people without diabetes routinely have large postprandial excursions (the Stanford glucotypes work), and that within the normal range higher fasting glucose and higher glycemic variability track with worse outcomes: a cardiovascular cohort of one million Korean adults, a 22-year follow-up of 2,000 non-diabetic men, and the ALLHAT visit-to-visit variability analysis in 5,000 people without diabetes where the highest variability quartile carried 2.67 times the all-cause mortality of the most stable. Plus an asymmetry argument she states explicitly: there is no evidence that having more spikes is good for you.

Source: glucosegoddess.com ↗
Kevin D. HallPhD · metabolism researcher; formerly Section Chief, Integrative Physiology Section, NIDDK, National Institutes of Health

Not from single readings, and not as your only measure.

What it rests onAn inpatient study of 30 adults without diabetes capturing 1,189 continuous glucose monitor responses to duplicate presented meals about a week apart found weak-to-moderate correlation between duplicate meals, low within-participant reliability and wide limits of agreement, so a food's effect on you cannot be read off one measurement. His stated concern about the framing is directional: if minimising glucose excursion becomes the single metric, "you're going to drive everybody to consume a very low carbohydrate diet", which is a dietary prescription arrived at by measurement artefact.

Overview

Neither side is talking about people with diabetes, where glucose monitoring has an established clinical job that nothing here touches. Hall's participants ate identical presented meals in a metabolic ward, which is the strictest possible test of reliability and the least like real life.

Inchauspé is addressing people eating their own food at home who have never seen their own curve, and a large share of her audience are women in perimenopause or with PCOS, where the metabolic picture is genuinely different and neither side's evidence was gathered.

Where they agree

More than the fight suggests. Both agree that postprandial excursions in people without diabetes are larger and more variable than was once assumed. Both agree that muscle contraction after eating lowers them. Neither recommends calorie counting. Neither is arguing that the acute effects are imaginary.

The dispute is entirely about what follows from a curve: whether it is a signal worth organising your eating around, or a number that moves for reasons you cannot reliably attribute.

What would settle it

A randomised trial in normoglycemic adults of a spike-flattening behavioural programme against a matched food-quality programme, with a hard outcome or at least a validated symptom endpoint, over a period long enough to matter. Nobody has run it and both sides would be moved by it.

Short of that, a repeat-measures reliability study in free-living people would settle Hall's narrower objection, and he names the remedy himself: aggregated repeated measurements rather than single readings.

Practice does not pick a winner here

You do, and your call is dated, kept, and yours to change. Follow the people you already trust and what they publish turns into a short daily practice.

Get started

Free to sign up and use. We do not ask for a card.