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Sep 2026

Biology: Insulin & Glucose

My Plan

Your body handles a meal with two organs doing different jobs. After you eat, about 80% of the glucose goes into skeletal muscle, so most of a meal ends up in the tissue you build and use. Overnight, blood glucose is whatever your liver is releasing, which is why a fasting number is mostly a liver measurement.

Contracting muscle pulls glucose in through a route that barely needs insulin. That route keeps working even when insulin resistance has shut the usual one, so moving after a meal lowers the rise. A rise in glucose after eating is the system working, and in a person with normal glucose handling no harm from those rises has been shown.

Findings & Outcomes

What It Is

Insulin drives glucose into muscle and shuts off the liver's glucose output. Two organs do most of the work, each with a different job. After you eat, skeletal muscle takes up the glucose; between meals, the liver releases it to keep the blood steady. Walking after dinner, lifting twice a week, eating earlier, and everything on the type 2 diabetes page act on these same organs.

What Happens After You Eat

Glucose from a meal starts arriving in the blood within about 15 minutes and keeps arriving for one to two hours. Rising glucose triggers two waves of insulin from the pancreas. The first reaches the liver almost exclusively and barely raises insulin elsewhere. That first burst is stored insulin, sent straight to the liver. The liver gets it at a far higher concentration than any other organ, and there insulin shuts off its overnight glucose release. The second wave is slower, larger and sustained, and it moves glucose into tissue.

Remove that early burst in a healthy person and glucose tolerance worsens and the post-meal rise exaggerates. Restore an early rise in someone with type 2 diabetes and the post-meal curve improves. Losing the first-phase burst is one of the earliest measurable steps toward diabetes, and it can return. In the metabolic substudy of the DiRECT remission trial, recovery of the first-phase response separated the people who reached non-diabetic control from those who did not.

How a Meal Is Handled

1The two waves of insulin

Glucose rising in the blood triggers a fast burst of stored insulin, the first-phase response. It goes to the liver and switches off overnight glucose release. A slower sustained wave follows, moving glucose into tissue. After a mixed meal the two waves blur together, and the early rise is smaller than the clean intravenous experiments show.

2How glucose crosses into the cell

Glucose does not diffuse through a cell membrane; it is carried across by a transporter protein, and the one that matters for muscle and fat is GLUT4. At rest GLUT4 sits in vesicles inside the cell. Insulin binding its receptor sets off a signaling cascade that moves those vesicles to the surface, putting transporters in the membrane where glucose can come through. Insulin resistance is usually a signaling problem, not a shortage of transporters. Muscle in people with type 2 diabetes carries normal total GLUT4; what fails is the signal that moves it to the surface.

3Where the glucose ends up

Under laboratory clamp conditions, with insulin held high, about 80% of glucose uptake happens in skeletal muscle and fat tissue takes less than 5%. Every other tissue takes only a small share.

The Liver Side: Why Fasting Glucose Is a Liver Number

Between meals and all night, no food is entering the blood, yet blood glucose still has to stay in range. That job belongs to the liver. It releases glucose continuously: first from stored glycogen, then by making it from scratch out of lactate, glycerol and amino acids. After an overnight fast, whole-body glucose production runs higher with type 2 diabetes than without: 11.1 against 8.9 micromol per kg per minute. The excess is glucose made from scratch: 88% of production, against 70% in people without diabetes.

A very-low-calorie diet shows how fast fasting glucose responds to losing liver fat. On 600 calories a day, fasting plasma glucose normalized within one week, from 166 mg/dL (9.2 mmol/l) to 106 mg/dL (5.9 mmol/l). Insulin's suppression of the liver's glucose output rose from 43% to 74% over those same seven days. Liver fat itself took eight weeks to fall, from 12.8% to 2.9%.

A raised fasting glucose and a raised post-meal glucose mean different things. A 2006 clamp study mapped the split. A high two-hour glucose comes mostly from insulin-resistant muscle, with the liver only mildly affected. A high fasting glucose is the reverse: a badly insulin-resistant liver, with near-normal muscle. An intervention that empties the liver moves the fasting number first; one that makes muscle take up glucose moves the post-meal number first. Someone screened on fasting glucose alone can read completely normal while the two-hour glucose is not.

Ectopic fat and the twin cycle

The fat that drives insulin resistance is ectopic fat: fat stored where it does not belong, inside liver cells, inside muscle, around the organs. It tracks insulin resistance far better than total body fat, so two people at the same weight can handle glucose very differently. What matters is whether the fat you carry exceeds what your own body can store safely, a personal threshold that differs from person to person. That predicts even a thin person with type 2 diabetes should respond to weight loss. When 20 people with a BMI under 27 did repeated cycles of 5% weight loss, liver fat and liver-fat export returned to normal. Sustained remission followed in 14 of the 20.

Roy Taylor's twin-cycle model links a fatty liver and a fat-laden pancreas: each worsens the other. It starts with a sustained energy surplus, largely delivered by ultra-processed food. In a controlled trial that matched the meals offered for calories, sugar, fat and fiber, 20 adults ate about 500 calories a day more on the ultra-processed diet. They gained weight over two weeks (Hall 2019). That surplus raises liver fat. A fatty liver responds poorly to insulin's signal to stop making glucose, so glucose rises and insulin rises.

Higher insulin then drives still more fat synthesis in the liver. Meanwhile the fatty liver exports triglyceride, and some of it settles around the beta cells in the pancreas. Beta cells exposed to that fat stop responding properly to glucose. Less insulin means higher glucose, feeding the first cycle. The model predicts that emptying both fat stores reverses the process. Very-low-calorie studies bear it out: pancreas fat falls more slowly than liver fat, on the order of weeks.

How Exercise Moves Glucose Into Muscle

A contracting muscle brings GLUT4 to its surface on its own, driven by calcium release, AMPK, mechanical stress and nitric oxide. These run through a separate signaling pathway, but act on the same GLUT4 vesicles that insulin does. A working muscle takes up glucose without insulin. Contraction can raise muscle glucose uptake up to 50-fold, and that route is preserved in insulin-resistant muscle (Sylow 2017).

The direct human demonstration is small. One bout of cycling raised GLUT4 at the muscle surface by about 74% in people with type 2 diabetes and about 71% in people without. It was measured on open muscle biopsy in 10 people, and rose in every participant. That study had no insulin comparison arm. No single experiment compares the two routes head to head. Reviews rate the contraction route as the better-established of the two (Sylow 2017).

The post-meal walk puts muscle to work while glucose is arriving, so it takes a share directly. A walk four hours later comes after the bloodstream has cleared the meal. Lifting, resistance training, helps regardless of weight change, because it enlarges and maintains the tissue most glucose ends up in. Muscle mass itself tracks glucose handling: across 13,644 people, each 10% higher muscle mass as a share of body weight tracked with 11% lower insulin resistance. That association is cross-sectional, and insulin resistance also causes muscle loss.

The effect also outlasts the session. After one bout of exercise, insulin-driven glucose uptake stays raised for about 48 hours and is gone by five days (Mikines 1988). In practice the benefit lasts about two days, so how often you move matters more than how long any single session lasts.

What The Tests Really Measure

A fasting glucose is cheap and standardized, but it is less stable than a single result suggests. Take the test twice and the two fasting results usually land within about 15% of each other.

HbA1c measures the fraction of hemoglobin with glucose stuck to it, built up over the life of a red blood cell. It is usually called a three-month average, weighted toward the most recent few weeks. Because it is a red-cell measurement, anything that changes red cells changes it while glucose holds steady. Iron deficiency, common in menstruating women, raises it with or without anemia. Hemolysis, recent blood loss, a transfusion, or advanced kidney or liver disease all shift it. Some hemoglobin variants interfere with the assay itself and can make a result meaningless. Pregnancy changes red-cell turnover enough that HbA1c is not used to diagnose gestational diabetes (English 2015).

The number also differs between ethnic groups at the same measured glucose. Adjusted for measured plasma glucose, HbA1c ran higher in Black adults than White adults at every level. The gap was 0.13 to 0.21 percentage points at normal glucose and 0.47 at the diabetic range (Ziemer 2010). The mechanism is not known, so one HbA1c threshold does not mean the same glucose in everyone.

The oral glucose tolerance test gives 75 grams of glucose in solution, with blood drawn two hours later. It is the only common test that measures the muscle side directly, and the noisiest. Take the two-hour test twice and the results can differ by nearly half (46%), against about 15% for a fasting test, so it is far noisier. Almost all of that variation is biological: the same person differs between two mornings.

HOMA-IR is fasting glucose multiplied by fasting insulin, divided by a constant. Its builders published where it works, cohort and population research, and warned the input data must be robust. The input is the weak point: across 12 commercial insulin assays from nine manufacturers, the difference between assays ran 12% to 66%, median 24%. A shared reference preparation did not fix it. A HOMA-IR of 2.1 at one lab and 2.6 at another can be the same person on the same day. It works well across a population and poorly as a personal number.

A continuous glucose monitor reads a filament in the fluid between cells, estimating glucose every few minutes, and in type 2 diabetes it lowers HbA1c by a modest amount. In healthy people it reads high. In a randomized crossover in 15 healthy adults, the sensor ran about 16 mg/dL (0.9 mmol/l) above capillary blood, fasting and after meals (Hutchins 2025). The size of that bias varied by food and by person. It showed about four times as much time above 140 mg/dL (7.8 mmol/l) as the blood test did. Even after subtracting its steady 16 mg/dL over-reading, it still showed about double.

A blinded sensor also shows how narrow the healthy range is. Across 153 people aged 7 to 80, median time in the 70–140 mg/dL (3.9 to 7.8 mmol/l) range was 96% of the day (Shah 2019). Median time above 140 mg/dL was 2.1%, about 30 minutes a day. A short rise after a big meal is normal.

Do Glucose Spikes Matter?

After a meal, glucose arrives, insulin rises, muscle and liver take it up, and glucose falls back. In someone with healthy glucose handling that rise is ordinary physiology. Post-meal rises are larger and longer in people with impaired glucose handling and type 2 diabetes, where higher post-meal glucose tracks with cardiovascular risk in observational data. In someone whose glucose handling is normal, no study has shown the size of the spike predicts anything about health, or that flattening it changes an outcome.

In someone whose glucose handling is normal, no study has shown the size of the spike predicts anything about health, or that flattening it changes an outcome.

Acarbose tests this by going after the rise itself: it slows carbohydrate absorption, so the post-meal rise is smaller. In 6,522 people with coronary disease and impaired glucose tolerance, five years of acarbose produced no fewer heart attacks or strokes: hazard ratio 0.98 (95% CI 0.86 to 1.11). It did cut progression to diabetes by 18% (Holman 2017). A drug acting at the gut wall works by a different mechanism than a muscle taking up glucose during contraction.

When 1,070 people ate 8,624 standardized meals with sensors on, what predicted hunger and later eating was not the glucose peak but the dip below baseline that followed it. That dip came two to three hours after the meal. The correlations were small (0.14 to 0.27), and several authors work for the company selling the monitoring program. Even so, it points away from the peak that the popular advice targets. Walking after eating, pairing carbohydrate with protein and fiber, and choosing whole food over sugary drinks each have their own evidence. Whether wearing a monitor changes anything durable in a person without diabetes has not been measured in a trial with health outcomes.

Sex, Cycle and Menopause

Glucose physiology differs between men and women, and most mechanistic work was built in men. During reproductive life, women store fat under the skin more than in visceral and ectopic sites. They stay more insulin sensitive than men at a given BMI, and secrete insulin and incretin more readily. Those advantages fade as glucose tolerance drifts toward diabetes, and in middle age diabetes is more common in men across most of the world. The difference reaches the liver: in age- and BMI-matched severely obese adults, men suppressed liver glucose output 61.7% against women's 72.8%, with no difference in muscle or fat.

Which test catches a problem also differs by sex. Pooling eight studies and 52,256 people, women had higher odds of isolated high post-meal glucose (odds ratio 1.42) and lower odds of isolated high fasting glucose (0.65). Routine screening is usually a fasting glucose or an HbA1c, so the category women more often fall into is the one the usual test is least likely to catch.

The menstrual cycle shifts insulin resistance a little. Measured up to eight times per cycle in 257 healthy women, insulin resistance rose from 1.35 in the mid-follicular phase to 1.59 in the early luteal phase. Insulin drove that rise while glucose held steady, and it tracked estradiol and progesterone. That is about 0.2 units: smaller than the swings fasting insulin already shows for unrelated reasons. It matters for study design, and for anyone comparing two of their own readings taken three weeks apart. It is too small to change any week-to-week decision about diet or exercise.

Menopause changes more. Followed for four years, women who became postmenopausal gained visceral and total body fat, and their fat-burning fell about 32%. Same-age women who did not become postmenopausal gained only subcutaneous fat. Physical activity had already dropped two years before menopause, so it is hard to tell how much of the change came from hormones and how much from moving less. Estrogen replacement does not clearly change diabetes risk. In the Women's Health Initiative estrogen-alone trial, treated diabetes occurred in 8.3% on estrogen against 9.3% on placebo, short of significance. Insulin resistance was lower at one year and level again by three.

Time of Day

Glucose tolerance is worse in the evening than the morning, so the same meal raises glucose more at night. That makes the physiological case for an early eating window stronger than the case for a short one. In a laboratory protocol, people ate the same meals at opposite points of their internal clock. Glucose after the meal ran 17% higher in the biological evening than the biological morning. The early insulin response ran 27% lower.

The Research & Studies

Everything here is based on the research we have collected and checked, sorted into groups and ordered with the strongest evidence first. Click any claim to open the studies behind it.

How it works

Muscle takes up about 80% of a glucose load, and fat under 5%Strong · mixed
In plain terms

Under euglycemic hyperinsulinemic clamp conditions, roughly 80% of glucose uptake occurs in skeletal muscle, and adipose tissue takes up less than 5% of an infused glucose load. In the fasted state the picture inverts: about 70 to 75% of glucose uptake happens in tissues that do not need insulin at all, chiefly brain, red cells and splanchnic tissue.

In detail

Under euglycemic hyperinsulinemic clamp conditions, roughly 80% of glucose uptake occurs in skeletal muscle, and adipose tissue takes up less than 5% of an infused glucose load. In the fasted state the picture inverts: about 70 to 75% of glucose uptake happens in tissues that do not need insulin at all, chiefly brain, red cells and splanchnic tissue. Measured in: Synthesis of euglycemic clamp and limb-catheterization studies in adults with and without type 2 diabetes. The 80% figure describes a laboratory state, insulin infused to a steady high level with glucose held constant, which is not the same as a mixed meal eaten at a table. It sets the proportions, not the exact share of any given dinner.

Who this may not transfer to:A review of clamp studies, not a single trial, and it gives no pooled sex breakdown for the studies it draws on.

The study · 1

DeFronzo and Tripathy, skeletal muscle insulin resistance is the primary defect in type 2 diabetes · Diabetes Care 2009;32 Suppl 2:S157-63

Contraction moves glucose into muscle even when insulin resistance blocks the usual route, up to 50-foldStrong
In plain terms

Contraction raises muscle glucose uptake by up to 50-fold through signaling that is distinct from the insulin pathway, involving AMPK, calcium and nitric oxide upstream of GLUT4 movement to the membrane. That route is preserved in insulin-resistant muscle, which is why exercise lowers glucose in people whose insulin has stopped working well.

In detail

Contraction raises muscle glucose uptake by up to 50-fold through signaling that is distinct from the insulin pathway, involving AMPK, calcium and nitric oxide upstream of GLUT4 movement to the membrane. That route is preserved in insulin-resistant muscle, which is why exercise lowers glucose in people whose insulin has stopped working well. Measured in: Review of human and rodent muscle physiology, biopsy and tracer work. Both sources are narrative reviews, not primary measurements, and their own position is that the pathway attribution is unsettled and redundant by design. The strong and quotable part is the preservation of the contraction route in insulin-resistant muscle; the molecular detail beneath it is the soft part.

Who this may not transfer to:Mechanism reviews spanning human biopsy work and rodent models; there is no single participant group to report.

The studies · 2

Sylow et al., exercise-stimulated glucose uptake, regulation and implications for glycaemic control · Nat Rev Endocrinol 2017;13(3):133-148

Richter and Hargreaves, exercise, GLUT4, and skeletal muscle glucose uptake · Physiol Rev 2013;93(3):993-1017

The same meal raised glucose 17% higher in the biological evening than the morningStrong · mixed
In plain terms

Under two 8-day laboratory protocols separating circadian phase from behavior, identical meals produced 17% higher postprandial glucose in the biological evening than in the biological morning, with early-phase insulin 27% lower. Circadian misalignment on top of that added a further 6%.

In detail

Under two 8-day laboratory protocols separating circadian phase from behavior, identical meals produced 17% higher postprandial glucose in the biological evening than in the biological morning, with early-phase insulin 27% lower. Circadian misalignment on top of that added a further 6%. Measured in: Healthy adults in a randomized crossover with a 12-hour behavioral inversion, so the same meals were eaten at opposite circadian phases. A behavioral inversion, not a forced-desynchrony protocol; the authors contrast this design with their own earlier forced-desynchrony work. It isolates circadian phase from meal content, and it does not isolate it from the disruption of inverting a day.

Who this may not transfer to:Eight men and six women, some on oral contraceptives. Too small to compare the sexes against each other, but both are represented.

The study · 1

Morris et al., endogenous circadian system and circadian misalignment impact glucose tolerance via separate mechanisms in humans · Proc Natl Acad Sci U S A 2015;112(17):E2225-34

Insulin comes in two waves: a fast first-phase burst, then a slower sustained releaseModerate · mixed
In plain terms

Insulin release to an intravenous glucose load is biphasic: a rapid burst of stored insulin, then a slower sustained phase. Abolishing the early phase experimentally in healthy people produces impaired glucose tolerance and excessive glucose excursions, and restoring an early insulin rise in people with type 2 diabetes improves the post-meal glucose profile.

In detail

Insulin release to an intravenous glucose load is biphasic: a rapid burst of stored insulin, then a slower sustained phase. Abolishing the early phase experimentally in healthy people produces impaired glucose tolerance and excessive glucose excursions, and restoring an early insulin rise in people with type 2 diabetes improves the post-meal glucose profile. Measured in: Review of human and animal physiological studies of early-phase insulin secretion. Most of the clean phase separation comes from intravenous glucose, which is not how anyone eats. After a mixed meal the two phases blur into one another, and the early rise is smaller and slower than the intravenous experiment shows.

Who this may not transfer to:A narrative review of many small physiology studies, with no aggregate sex breakdown.

The study · 1

Del Prato, loss of early insulin secretion leads to postprandial hyperglycaemia · Diabetologia 2003;46 Suppl 1:M2-8

In type 2 diabetes the liver makes more glucose overnight, 88% of it from scratchModerate · mixed
In plain terms

After an overnight fast, whole-body glucose production was higher in people with type 2 diabetes than in controls, 11.1 against 8.9 micromol per kg per minute. Net hepatic glycogenolysis was lower, 1.3 against 2.8, so the excess came from gluconeogenesis, which accounted for 88% of glucose production against 70% in controls.

In detail

After an overnight fast, whole-body glucose production was higher in people with type 2 diabetes than in controls, 11.1 against 8.9 micromol per kg per minute. Net hepatic glycogenolysis was lower, 1.3 against 2.8, so the excess came from gluconeogenesis, which accounted for 88% of glucose production against 70% in controls. Measured in: 7 people with type 2 diabetes and 5 controls, studied with 13C magnetic resonance spectroscopy across 23 hours of fasting. Twelve people in total, measured in one laboratory in 1992 with a method that was new at the time. The direction has held up in later work; the exact percentages come from a very small sample.

Who this may not transfer to:The abstract gives no sex breakdown, and at twelve participants no sex comparison would have been possible.

The study · 1

Magnusson et al., increased rate of gluconeogenesis in type II diabetes mellitus, a 13C nuclear magnetic resonance study · J Clin Invest 1992;90(4):1323-7

The post-meal rise in early diabetes comes from glucose leaving the blood too slowlyModerate · mixed
In plain terms

Using a labeled meal and an oral glucose tolerance test, post-meal hyperglycemia was driven by lower rates of glucose disappearance from the blood, not by glucose arriving faster from the gut and not by failure to switch off the liver. Endogenous glucose production was promptly suppressed and meal glucose appeared at a comparable rate in both groups.

In detail

Using a labeled meal and an oral glucose tolerance test, post-meal hyperglycemia was driven by lower rates of glucose disappearance from the blood, not by glucose arriving faster from the gut and not by failure to switch off the liver. Endogenous glucose production was promptly suppressed and meal glucose appeared at a comparable rate in both groups. Measured in: 32 people with impaired fasting glucose and 28 with normal fasting glucose, each studied on two occasions. Sixty people at one center, and the tracer method partitions glucose fluxes by model, not measuring each tissue directly. It tells you that disposal was the limiting step without saying which muscle bed it happened in.

Who this may not transfer to:The abstract gives no sex breakdown for the two groups.

The study · 1

Bock et al., pathogenesis of pre-diabetes, mechanisms of fasting and postprandial hyperglycemia in people with impaired fasting glucose and/or impaired glucose tolerance · Diabetes 2006;55(12):3536-49

One bout of cycling raised GLUT4 at the muscle surface about 74%, with or without diabetesModerate
In plain terms

After 45 to 60 minutes of ergometer exercise at 60 to 70% of VO2max, plasma-membrane GLUT4 rose 74 ± 20% above resting values in people with type 2 diabetes and 71 ± 18% in controls, measured on open muscle biopsy. It rose in every participant.

In detail

After 45 to 60 minutes of ergometer exercise at 60 to 70% of VO2max, plasma-membrane GLUT4 rose 74 ± 20% above resting values in people with type 2 diabetes and 71 ± 18% in controls, measured on open muscle biopsy. It rose in every participant. Measured in: 10 people, 5 with type 2 diabetes (2 men, 3 women) and 5 controls (all men), each giving two open biopsies of the same muscle 3 to 6 weeks apart from opposite legs, one at rest and one after exercise. This trial had no insulin arm. The insulin-stimulated defect it is usually contrasted against was reported in earlier separate studies, not measured in these ten people, so the contrast is assembled across papers, not observed within one. Five people per group, one exercise bout, and the outcome is transporter protein in a membrane fraction, not glucose leaving the blood. Resting membrane GLUT4 was about 32% lower in the diabetes group, which did not reach significance at this size.

Who this may not transfer to:Seven men and three women in total, and the entire control group was male, so the comparison between groups is partly a comparison between sexes.

The study · 1

Kennedy et al., acute exercise induces GLUT4 translocation in skeletal muscle of normal human subjects and subjects with type 2 diabetes · Diabetes 1999;48(5):1192-7

Before menopause women are more insulin sensitive than men, an edge that fades toward diabetesModerate · mixed
In plain terms

During reproductive life, women store fat subcutaneously in preference to visceral and ectopic sites, have higher insulin sensitivity than men, and have greater capacity for insulin secretion and a larger incretin response. Those advantages disappear as glucose tolerance deteriorates toward diabetes. In most of the world diabetes is more prevalent in men, most markedly in middle age.

In detail

During reproductive life, women store fat subcutaneously in preference to visceral and ectopic sites, have higher insulin sensitivity than men, and have greater capacity for insulin secretion and a larger incretin response. Those advantages disappear as glucose tolerance deteriorates toward diabetes. In most of the world diabetes is more prevalent in men, most markedly in middle age. Measured in: Review of human and animal work on sex differences in energy balance and glucose metabolism. A narrative review, and much of the mechanistic support is from rodent models where males reliably develop insulin resistance and hyperglycemia more readily than females. The human clamp studies behind the sensitivity difference are individually small.

Who this may not transfer to:Sex comparison is the subject of the review, so both are represented by design; the constituent human studies are small.

The study · 1

Tramunt et al., sex differences in metabolic regulation and diabetes susceptibility · Diabetologia 2020;63(3):453-461

Insulin resistance drifted up across the menstrual cycle, from 1.35 to 1.59Moderate · mixed
In plain terms

Measured up to eight times per cycle with visits timed by fertility monitor, HOMA-IR rose from 1.35 in the mid-follicular phase to 1.59 in the early luteal phase and 1.55 in the late luteal phase. The change came from insulin, not glucose. HOMA-IR tracked estradiol and progesterone positively and FSH and SHBG inversely. The authors describe the variation as minor.

In detail

Measured up to eight times per cycle with visits timed by fertility monitor, HOMA-IR rose from 1.35 in the mid-follicular phase to 1.59 in the early luteal phase and 1.55 in the late luteal phase. The change came from insulin, not glucose. HOMA-IR tracked estradiol and progesterone positively and FSH and SHBG inversely. The authors describe the variation as minor. Measured in: 257 healthy premenopausal women, mean age 27, mean BMI 24, followed across one or two cycles. What could explain it instead: Diet, sleep and activity also shift across the cycle and were not controlled, so part of the change attributed to hormones may be behavior that travels with them.. The swing is small: about 0.2 HOMA-IR units, well inside the range a single person's fasting insulin moves for other reasons. It is a reason to standardize cycle phase in research, not a reason to plan a week around it.

Who this may not transfer to:The question has no counterpart in men. What it means for readers who are men is that the fasting insulin figures in mixed-sex studies carry a source of variation that only half the sample has.

The study · 1

Yeung et al., longitudinal study of insulin resistance and sex hormones over the menstrual cycle, the BioCycle Study · J Clin Endocrinol Metab 2010;95(12):5435-42

After menopause fat shifts toward the belly and fat-burning fell about 32%Moderate · risk
In plain terms

Followed annually for four years, all the women gained subcutaneous abdominal fat with age, and only those who became postmenopausal gained visceral fat and total body fat. Sleeping energy expenditure fell 1.5 times further in that group (-7.9% against -5.3%), and fat oxidation fell 32% in the women who became postmenopausal and did not change in those who did not. Physical activity fell significantly two years before menopause and stayed low.

In detail

Followed annually for four years, all the women gained subcutaneous abdominal fat with age, and only those who became postmenopausal gained visceral fat and total body fat. Sleeping energy expenditure fell 1.5 times further in that group (-7.9% against -5.3%), and fat oxidation fell 32% in the women who became postmenopausal and did not change in those who did not. Physical activity fell significantly two years before menopause and stayed low. Measured in: 156 healthy initially premenopausal women (103 Caucasian, 53 African-American), 51 of whom became postmenopausal during follow-up; 24-hour energy expenditure measured by whole-room calorimeter in 34. What could explain it instead: Activity dropped two years before menopause, so behavior was already changing before the hormonal transition completed, and part of the fat gain attributed to menopause may follow the activity change instead.. Observational, and aging and menopause happen together, so separating them relies on comparing women who crossed the transition against women of similar age who did not. The energy expenditure measurements come from a subset of 34.

Who this may not transfer to:There is no equivalent transition in men to compare against. Men lose testosterone gradually, not crossing a threshold, and the fat-distribution consequences of that have been studied separately.

The study · 1

Lovejoy et al., increased visceral fat and decreased energy expenditure during the menopausal transition · Int J Obes (Lond) 2008;32(6):949-58

The dip after a meal, not the peak, tracked hunger and later eatingEmerging · mixed
In plain terms

The dip below baseline 2 to 3 hours after a standardized meal predicted hunger and later eating better than the peak did. Larger dips tracked more hunger at 2 to 3 hours (r = 0.16), a shorter gap to the next meal (r = -0.14), greater energy intake at 3 to 4 hours (r = 0.19) and greater intake over 24 hours (r = 0.27). Direction was consistent in a US validation cohort.

In detail

The dip below baseline 2 to 3 hours after a standardized meal predicted hunger and later eating better than the peak did. Larger dips tracked more hunger at 2 to 3 hours (r = 0.16), a shorter gap to the next meal (r = -0.14), greater energy intake at 3 to 4 hours (r = 0.19) and greater intake over 24 hours (r = 0.27). Direction was consistent in a US validation cohort. Measured in: 1,070 adults across a UK exploratory and a US validation cohort, eating 8,624 standardized meals followed by 71,715 free-living meals with continuous monitoring. What could explain it instead: Hunger and subsequent intake were self-reported under free-living conditions, so people whose glucose dips more may also differ in habitual meal composition, sleep and activity, all of which independently affect appetite.. The correlations are small, between 0.14 and 0.27, which at this sample size is a reliable signal explaining a small share of the variation. Several authors are employed by the company that sells the monitoring program the data came from.

Who this may not transfer to:About 60% women. Several authors are employees of the commercial monitoring company behind the cohort.

The study · 1

Wyatt et al., postprandial glycaemic dips predict appetite and energy intake in healthy individuals · Nat Metab 2021;3(4):523-529

The sex difference sat in the liver, not in muscle or fatEmerging · mixed
In plain terms

In age and BMI-matched severely obese men and women studied with a two-step clamp and glucose tracer, men had lower hepatic insulin sensitivity: insulin suppressed endogenous glucose production by 61.7% in men against 72.8% in women (p = 0.028). Adipose tissue insulin sensitivity, peripheral glucose disposal, basal glucose production and liver fat content did not differ.

In detail

In age and BMI-matched severely obese men and women studied with a two-step clamp and glucose tracer, men had lower hepatic insulin sensitivity: insulin suppressed endogenous glucose production by 61.7% in men against 72.8% in women (p = 0.028). Adipose tissue insulin sensitivity, peripheral glucose disposal, basal glucose production and liver fat content did not differ. Measured in: 46 severely obese adults, mean age 48 and 46, mean BMI 41 in both groups; liver fat measured in a subset of 27. Forty-six people, all severely obese with a mean BMI of 41, so it does not describe a lean population. It is one study and the difference it found was confined to the liver.

Who this may not transfer to:The comparison between sexes is the design of the study, with the groups matched for age and BMI.

The study · 1

Ter Horst et al., sexual dimorphism in hepatic, adipose tissue, and peripheral tissue insulin sensitivity in obese humans · Front Endocrinol (Lausanne) 2015;6:182

Blood Sugar

The first-phase insulin burst comes back in the people who reach remissionModerate
In plain terms

In the metabolic substudy of the DiRECT remission trial, liver fat fell from 16.0% to 3.1% immediately after weight loss, and pancreas fat and plasma triglyceride fell whether or not glucose control normalized. What separated the people who reached non-diabetic glucose control was recovery of the first-phase insulin response, from 0.04 to 0.11 nmol/min/m2, still present at 12 months. Responders had shorter diabetes duration than non-responders, 2.7 against 3.8 years.

In detail

In the metabolic substudy of the DiRECT remission trial, liver fat fell from 16.0% to 3.1% immediately after weight loss, and pancreas fat and plasma triglyceride fell whether or not glucose control normalized. What separated the people who reached non-diabetic glucose control was recovery of the first-phase insulin response, from 0.04 to 0.11 nmol/min/m2, still present at 12 months. Responders had shorter diabetes duration than non-responders, 2.7 against 3.8 years. Measured in: Metabolic substudy of the Diabetes Remission Clinical Trial: 64 in the intervention group and 26 controls. Comparing responders with non-responders inside a trial is an observational comparison, not a randomized one, so the duration difference and the beta cell recovery could both be markers of how far the disease had gone, not a cause and its effect.

Who this may not transfer to:The parent trial enrolled both sexes and was 59% men; the substudy report does not give its own breakdown.

The study · 1

Taylor et al., remission of human type 2 diabetes requires decrease in liver and pancreas fat content but is dependent upon capacity for beta cell recovery · Cell Metab 2018;28(4):547-556.e3

One exercise session keeps insulin sensitivity raised for about 48 hoursModerate
In plain terms

Using a sequential multi-step euglycemic clamp on each of three occasions, at rest, immediately after 60 minutes of ergometer exercise at 150 W, and 48 hours later, both insulin sensitivity and responsiveness were still improved at 48 hours. Apparent Km fell from 52 ± 3 to 43 ± 4 and then 40 ± 3 µU/ml; Vmax rose from 9.5 ± 0.8 to 10.9 ± 0.7 and 10.7 ± 0.8 mg/min/kg. In three further participants nothing remained at five days.

In detail

Using a sequential multi-step euglycemic clamp on each of three occasions, at rest, immediately after 60 minutes of ergometer exercise at 150 W, and 48 hours later, both insulin sensitivity and responsiveness were still improved at 48 hours. Apparent Km fell from 52 ± 3 to 43 ± 4 and then 40 ± 3 µU/ml; Vmax rose from 9.5 ± 0.8 to 10.9 ± 0.7 and 10.7 ± 0.8 mg/min/kg. In three further participants nothing remained at five days. Measured in: 7 untrained men, with 3 more studied at 5 days. Seven untrained men in one laboratory in 1988, with the five-day null resting on three of them. What persisted at 48 hours was specifically the conversion of glucose to glycogen, still 7.2 against 5.7 at rest, while maximal glucose OXIDATION went the other way and was lower after exercise than at rest. So "insulin sensitivity improves" is a compression of a more specific finding. No glucoregulatory hormone or metabolite measured could explain the effect.

Who this may not transfer to:No women were studied. Later work in mixed samples reports the same direction, and the specific 48-hour figure comes from seven men, so a woman reading this is reading a number measured in bodies that were not hers.

The study · 1

Mikines et al., effect of physical exercise on sensitivity and responsiveness to insulin in humans · Am J Physiol 1988;254(3 Pt 1):E248-59

Each 10% more muscle mass tracked with 11% lower insulin resistanceModerate
In plain terms

After adjustment for age, ethnicity, sex and both generalized and central obesity, each 10% higher skeletal muscle index, meaning muscle mass as a share of body weight, was associated with an 11% lower HOMA-IR (95% CI 6 to 15%) and a 12% lower prevalence of prediabetes or diabetes (95% CI 1 to 21%). The associations were stronger in people without diabetes.

In detail

After adjustment for age, ethnicity, sex and both generalized and central obesity, each 10% higher skeletal muscle index, meaning muscle mass as a share of body weight, was associated with an 11% lower HOMA-IR (95% CI 6 to 15%) and a 12% lower prevalence of prediabetes or diabetes (95% CI 1 to 21%). The associations were stronger in people without diabetes. Measured in: 13,644 participants in the third US National Health and Nutrition Examination Survey. What could explain it instead: Reverse causation is the obvious one: insulin resistance and the inactivity that accompanies it reduce muscle mass, so low muscle may be a consequence, not a cause. Physical activity itself is not adjusted for and independently affects both sides.. Cross-sectional, so the arrow could run either way, and muscle mass was estimated by bioelectrical impedance, not measured by scan. The outcome is HOMA-IR, a fasting-blood index, not a clamp.

Who this may not transfer to:A general population survey including both sexes, with sex adjusted for in the model, not analyzed as a modifier.

The study · 1

Srikanthan and Karlamangla, relative muscle mass is inversely associated with insulin resistance and prediabetes, findings from the third National Health and Nutrition Examination Survey · J Clin Endocrinol Metab 2011;96(9):2898-903

Estrogen after menopause left diabetes about the same, 8.3% against 9.3%Moderate · mixed
In plain terms

Over 7.1 years, treated diabetes occurred in 8.3% on conjugated equine estrogen against 9.3% on placebo, HR 0.88 (95% CI 0.77 to 1.01, p = 0.072). HOMA-IR fell significantly against control in the first year, a between-group difference of -0.53, and the difference was gone at 3 and 6 years.

In detail

Over 7.1 years, treated diabetes occurred in 8.3% on conjugated equine estrogen against 9.3% on placebo, HR 0.88 (95% CI 0.77 to 1.01, p = 0.072). HOMA-IR fell significantly against control in the first year, a between-group difference of -0.53, and the difference was gone at 3 and 6 years. Measured in: 10,739 postmenopausal women aged 50 to 79 who had previously had a hysterectomy, randomized in the Women's Health Initiative estrogen-alone trial. The primary comparison did not reach significance, and diabetes was ascertained by self-reported treatment, not by testing everyone. The authors state that estrogen should not be used to prevent diabetes, because its other effects rule out long-term use for that purpose.

Who this may not transfer to:An estrogen-alone trial in women who had had a hysterectomy, so it says nothing about men and nothing about women with a uterus taking estrogen with a progestogen.

The study · 1

Bonds et al., the effect of conjugated equine oestrogen on diabetes incidence, the Women's Health Initiative randomised trial · Diabetologia 2006;49(3):459-68

Fasting glucose normalized in a week on a 600-calorie diet, from 166 mg/dL (9.2 mmol/l) to 106 mg/dL (5.9 mmol/l)Emerging
In plain terms

On 600 kcal a day, fasting plasma glucose normalized within one week, from 166 mg/dL (9.2 mmol/l) to 106 mg/dL (5.9 mmol/l). Insulin suppression of hepatic glucose output improved from 43% to 74% over the same week, against 68% in non-diabetic controls. Liver triacylglycerol fell from 12.8% to 2.9% by week 8, and the first-phase insulin response rose from 0.19 to 0.46 nmol/min/m2.

In detail

On 600 kcal a day, fasting plasma glucose normalized within one week, from 166 mg/dL (9.2 mmol/l) to 106 mg/dL (5.9 mmol/l). Insulin suppression of hepatic glucose output improved from 43% to 74% over the same week, against 68% in non-diabetic controls. Liver triacylglycerol fell from 12.8% to 2.9% by week 8, and the first-phase insulin response rose from 0.19 to 0.46 nmol/min/m2. Measured in: 11 people with type 2 diabetes, 9 men and 2 women, mean age 49.5, mean BMI 33.6, studied before and after 1, 4 and 8 weeks; 8 weight-matched non-diabetic participants studied once as a reference. Eleven people, no control arm receiving the same intervention, and mostly men. The reference group was measured once, not followed, so it anchors the numbers without testing them.

Who this may not transfer to:Nine of the eleven were men, so the intervention group is effectively a male sample with two women in it.

The study · 1

Lim et al., reversal of type 2 diabetes, normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol · Diabetologia 2011;54(10):2506-14

At a BMI under 27, repeated weight loss put 14 of 20 people into remissionEmerging
In plain terms

In people with type 2 diabetes and a BMI under 27, repeated 5% weight loss cycles took BMI from 24.8 to 22.5 over 12 months and total body fat from 32.1% to 27.6%. Liver fat content, liver fat export and fasting insulin all fell to normal. Sustained remission, meaning HbA1c under 48 mmol/mol off all glucose-lowering drugs, was reached by 14 of 20, after initial weight loss of 6.5%. Post-meal insulin secretion rose but stayed below the matched controls.

In detail

In people with type 2 diabetes and a BMI under 27, repeated 5% weight loss cycles took BMI from 24.8 to 22.5 over 12 months and total body fat from 32.1% to 27.6%. Liver fat content, liver fat export and fasting insulin all fell to normal. Sustained remission, meaning HbA1c under 48 mmol/mol off all glucose-lowering drugs, was reached by 14 of 20, after initial weight loss of 6.5%. Post-meal insulin secretion rose but stayed below the matched controls. Measured in: 20 people with type 2 diabetes and BMI under 27 (13 women, 7 men, mean age 59), with 20 matched normoglycemic controls studied once. Twenty people, no randomization and no control arm undergoing the same weight loss, so the remission rate is not comparable with a randomized trial's. The matched controls were measured once, which anchors what normal looks like without testing the intervention.

Who this may not transfer to:Thirteen women and seven men, and the paper reports that body fat and visceral fat stayed above control values in the women but not the men after weight loss.

The study · 1

Taylor et al., aetiology of type 2 diabetes in people with a normal body mass index, testing the personal fat threshold hypothesis · Clin Sci (Lond) 2023;137(16):1333-1346

Measurement And Diagnosis

A high fasting glucose points at the liver, a high post-meal glucose at muscleModerate · mixed
In plain terms

Impaired glucose tolerance and impaired fasting glucose identify overlapping but distinct populations, and the site of insulin resistance differs. People with impaired glucose tolerance have marked muscle insulin resistance with only mild hepatic insulin resistance. People with impaired fasting glucose have severe hepatic insulin resistance with normal or near-normal muscle insulin sensitivity. Both show reduced early-phase insulin secretion; only impaired glucose tolerance also shows impaired late-phase secretion.

In detail

Impaired glucose tolerance and impaired fasting glucose identify overlapping but distinct populations, and the site of insulin resistance differs. People with impaired glucose tolerance have marked muscle insulin resistance with only mild hepatic insulin resistance. People with impaired fasting glucose have severe hepatic insulin resistance with normal or near-normal muscle insulin sensitivity. Both show reduced early-phase insulin secretion; only impaired glucose tolerance also shows impaired late-phase secretion. Measured in: Synthesis of clamp and tracer studies in people with impaired fasting glucose, impaired glucose tolerance and normal glucose tolerance. A review by one research group, drawing on their own clamp work as well as others', and the categories it describes are thresholds drawn on a continuous distribution, not distinct diseases.

Who this may not transfer to:A synthesis of many separate clamp studies with no pooled sex breakdown.

The study · 1

Abdul-Ghani, Tripathy and DeFronzo, contributions of beta-cell dysfunction and insulin resistance to the pathogenesis of impaired glucose tolerance and impaired fasting glucose · Diabetes Care 2006;29(5):1130-9

Iron deficiency raises HbA1c with no matching rise in glucoseModerate · mixed
In plain terms

Iron deficiency, with or without anemia, raised HbA1c against controls with no matching rise in glucose. Non-iron-deficiency anemias showed a possible fall in HbA1c. So the same blood glucose can read high or low on HbA1c depending on what the red cells are doing.

In detail

Iron deficiency, with or without anemia, raised HbA1c against controls with no matching rise in glucose. Non-iron-deficiency anemias showed a possible fall in HbA1c. So the same blood glucose can read high or low on HbA1c depending on what the red cells are doing. Measured in: 12 studies from 544 screened, in non-pregnant adults not known to have diabetes. Most of the included work is on iron deficiency; the evidence on other erythrocyte abnormalities is thin, and the review says so. It does not quantify how large the shift is or at what degree of deficiency it starts to matter. The population figures here describe the systematic review (12 of 544 studies); the second citation is a narrative clinical review that corroborates the direction, not being one of those studies.

Who this may not transfer to:The review does not pool a sex breakdown across its 12 included studies. Iron deficiency is more common in menstruating women, so the group most affected by this caveat is female.

The studies · 2

English et al., the effect of anaemia and abnormalities of erythrocyte indices on HbA1c analysis, a systematic review · Diabetologia 2015;58(7):1409-21

Radin, pitfalls in hemoglobin A1c measurement, when results may be misleading · J Gen Intern Med 2014;29(2):388-94

At the same measured glucose, HbA1c ran up to 0.47 points higher in Black than White adultsModerate · mixed
In plain terms

After adjustment for plasma glucose and other characteristics that correlate with HbA1c, HbA1c was higher in Black than in White participants at every level of glycemia: 0.13 and 0.21 percentage points at normal glucose tolerance in the two samples, 0.26 and 0.30 at prediabetes, and 0.47 in both at diabetes. The gap widened as glucose tolerance worsened.

In detail

After adjustment for plasma glucose and other characteristics that correlate with HbA1c, HbA1c was higher in Black than in White participants at every level of glycemia: 0.13 and 0.21 percentage points at normal glucose tolerance in the two samples, 0.26 and 0.30 at prediabetes, and 0.47 in both at diabetes. The gap widened as glucose tolerance worsened. Measured in: 1,581 non-Hispanic Black and White adults aged 18 to 87 in the SIGT study, and 1,967 aged over 40 in NHANES III, none with known diabetes. What could explain it instead: Self-identified race is a social category standing in for unmeasured biology, including red cell lifespan and glycation rate, and for unmeasured differences in access to care, diet and measurement setting. The adjustment covers measured glucose, not those.. The mechanism is unknown, which the authors state as a limitation. The consequence is practical, not theoretical: the same HbA1c threshold does not correspond to the same glucose in everybody.

Who this may not transfer to:Both samples are general population studies containing both sexes; the report does not give the split or analyze the difference by sex.

The study · 1

Ziemer et al., glucose-independent, black-white differences in hemoglobin A1c levels, a cross-sectional analysis of 2 studies · Ann Intern Med 2010;152(12):770-7

The two-hour glucose test varied within 46% on a retest, against 15% for fasting glucoseModerate · mixed
In plain terms

Repeating a 75 g oral glucose tolerance test in the same people, 95% of test-retest differences in those with normal glucose tolerance fell within 15% of the median for fasting glucose, 46% for the 2-hour glucose, 61% for fasting insulin and 125% for 2-hour insulin. The variation was overwhelmingly biological, not analytical.

In detail

Repeating a 75 g oral glucose tolerance test in the same people, 95% of test-retest differences in those with normal glucose tolerance fell within 15% of the median for fasting glucose, 46% for the 2-hour glucose, 61% for fasting insulin and 125% for 2-hour insulin. The variation was overwhelmingly biological, not analytical. Measured in: 524 adults aged 50 to 74 from a general Caucasian population without known diabetes, each tested twice: 246 with normal tolerance, 198 with impaired tolerance and 80 with newly detected diabetes. What could explain it instead: Prior days' carbohydrate intake, activity, sleep and intercurrent illness all shift a glucose tolerance test and were not controlled between the two visits, so part of what looks like measurement noise is real short-term physiology.. One population, one age band, and repeat tests done under research conditions. That makes these figures a floor on real-world variability, not a ceiling.

Who this may not transfer to:The sample was stratified by sex as well as age and glucose tolerance, and the authors found no independent association of sex with the size of the variation.

The study · 1

Mooy et al., intra-individual variation of glucose, specific insulin and proinsulin concentrations measured by two oral glucose tolerance tests in a general Caucasian population, the Hoorn Study · Diabetologia 1996;39(3):298-305

HOMA-IR rests on an insulin assay that varies 12% to 66% between labsModerate · mixed
In plain terms

The authors of the HOMA model set out its appropriate use as cohort and epidemiological studies, and name inappropriate uses including measuring beta cell function in isolation, adding that the primary input data have to be robust. Those inputs are not standardized: across 12 commercial insulin immunoassays from 9 manufacturers, among-assay coefficients of variation ran from 12% to 66%, median 24%, and a common reference preparation did not fix it.

In detail

The authors of the HOMA model set out its appropriate use as cohort and epidemiological studies, and name inappropriate uses including measuring beta cell function in isolation, adding that the primary input data have to be robust. Those inputs are not standardized: across 12 commercial insulin immunoassays from 9 manufacturers, among-assay coefficients of variation ran from 12% to 66%, median 24%, and a common reference preparation did not fix it. Measured in: The model paper is a methodological review by the group that built HOMA; the assay data come from an American Diabetes Association workgroup evaluation of commercial insulin methods. Neither paper says HOMA-IR is useless, and it correlates respectably with clamp measurements at group level. The limitation is what happens to a group-level index when one person compares their own number against someone else's, measured on a different assay.

Who this may not transfer to:A model paper and a laboratory assay comparison; neither has a participant group whose sex could be reported.

The studies · 2

Wallace, Levy and Matthews, use and abuse of HOMA modeling · Diabetes Care 2004;27(6):1487-95

Marcovina et al., standardization of insulin immunoassays, report of the American Diabetes Association Workgroup · Clin Chem 2007;53(4):711-6

Healthy people spent 96% of the day in range on a sensor, above range about 30 minutesModerate · mixed
In plain terms

Wearing a blinded current-generation sensor for up to 10 days, mean glucose was 98 to 99 mg/dl (5.4 to 5.5 mmol/l) in every age group except those over 60, where it was 104 mg/dl (5.8 mmol/l). Median time between 70 and 140 mg/dl (3.9 to 7.8 mmol/l) was 96%, median time above 140 mg/dl was 2.1% of the day, about 30 minutes, and mean within-person coefficient of variation was 17%.

In detail

Wearing a blinded current-generation sensor for up to 10 days, mean glucose was 98 to 99 mg/dl (5.4 to 5.5 mmol/l) in every age group except those over 60, where it was 104 mg/dl (5.8 mmol/l). Median time between 70 and 140 mg/dl (3.9 to 7.8 mmol/l) was 96%, median time above 140 mg/dl was 2.1% of the day, about 30 minutes, and mean within-person coefficient of variation was 17%. Measured in: 153 healthy, non-obese, non-pregnant children and adults aged 7 to 80 without diabetes, across 12 US centers. What could explain it instead: The device reads above blood glucose by a variable margin, so the small amount of time recorded above range is partly a property of the measurement, not of the person.. A non-obese, screened, healthy sample, so it describes what a sensor reads in people selected to be well, not in the general population. It is also one sensor model, and sensors differ.

Who this may not transfer to:66% women, in 153 people across 12 centers.

The study · 1

Shah et al., continuous glucose monitoring profiles in healthy nondiabetic participants, a multicenter prospective study · J Clin Endocrinol Metab 2019;104(10):4356-4364

Women more often have high post-meal glucose, men high fasting glucoseModerate · mixed
In plain terms

Pooled prevalence of isolated impaired glucose tolerance was 8% in women against 5% in men, and isolated impaired fasting glucose 15% in women against 21% in men. Compared with men, women had higher odds of isolated impaired glucose tolerance (OR 1.42, 95% CI 1.23 to 1.65) and lower odds of isolated impaired fasting glucose (OR 0.65, 0.44 to 0.96), with similar odds of the combined state.

In detail

Pooled prevalence of isolated impaired glucose tolerance was 8% in women against 5% in men, and isolated impaired fasting glucose 15% in women against 21% in men. Compared with men, women had higher odds of isolated impaired glucose tolerance (OR 1.42, 95% CI 1.23 to 1.65) and lower odds of isolated impaired fasting glucose (OR 0.65, 0.44 to 0.96), with similar odds of the combined state. Measured in: 8 studies suitable for meta-analysis, 52,256 participants of whom 25,263 were women. Eight studies, with moderate certainty for the prevalence estimates and high certainty only for the two between-sex comparisons. The practical consequence, that a fasting-glucose-only screen finds proportionally fewer women, is the authors' own reading, not something the analysis tested directly.

Who this may not transfer to:25,263 women and the remainder men; comparing the two is the purpose of the analysis.

The study · 1

Cooper et al., sex-specific differences in the prevalence of intermediate hyperglycaemia states, a systematic review and meta-analysis · Diabet Med 2026;43(8):e70293

A consumer sensor read about 16 mg/dL (0.9 mmol/l) high and overstated time above range fourfoldPreliminary · mixed
In plain terms

CGM-estimated fasting and postprandial glucose ran 16 mg/dL (0.9 ± 0.6 mmol/L) and 16 mg/dL (0.9 ± 0.5 mmol/L) above capillary estimates (both p<0.001). The size of the bias varied by test food and by individual. CGM overestimated time above 140 mg/dL (7.8 mmol/L) roughly fourfold, falling to roughly twofold after adjusting for the baseline difference.

In detail

CGM-estimated fasting and postprandial glucose ran 16 mg/dL (0.9 ± 0.6 mmol/L) and 16 mg/dL (0.9 ± 0.5 mmol/L) above capillary estimates (both p<0.001). The size of the bias varied by test food and by individual. CGM overestimated time above 140 mg/dL (7.8 mmol/L) roughly fourfold, falling to roughly twofold after adjusting for the baseline difference. Measured in: 15 healthy adults, each completing seven laboratory visits with randomized carbohydrate challenges including glucose, whole fruit, blended fruit and commercial smoothies, sampled every 15 minutes for 120 minutes. Fifteen people, one sensor type, one laboratory. The finding is about a specific device against capillary sampling, and it should not be read as a general property of every monitor on the market.

Who this may not transfer to:9 women and 6 men.

The study · 1

Hutchins et al., continuous glucose monitor overestimates glycemia, with the magnitude of bias varying by postprandial test and individual, a randomized crossover trial · Am J Clin Nutr 2025;121(5):1025-1034

Heart And Vascular

A drug that only flattens the post-meal rise did not cut heart events over five yearsModerate · no effect
In plain terms

Acarbose, a drug whose action is to blunt the post-meal glucose rise specifically, produced no reduction in major adverse cardiovascular events over a median of five years: 470 events (14%) on acarbose against 479 (15%) on placebo, HR 0.98, 95% CI 0.86 to 1.11. It did reduce progression to diabetes, 13% against 16%, rate ratio 0.82 (0.71 to 0.94).

In detail

Acarbose, a drug whose action is to blunt the post-meal glucose rise specifically, produced no reduction in major adverse cardiovascular events over a median of five years: 470 events (14%) on acarbose against 479 (15%) on placebo, HR 0.98, 95% CI 0.86 to 1.11. It did reduce progression to diabetes, 13% against 16%, rate ratio 0.82 (0.71 to 0.94). Measured in: 6,522 Chinese adults with coronary heart disease and impaired glucose tolerance, randomized to acarbose or placebo and followed a median of 5.0 years. One trial, in one country, in people who already had coronary disease, and a drug acting at the gut wall is not the same intervention as a muscle taking glucose up during contraction. What it constrains is how much a lower post-meal number by itself can be read to promise.

Who this may not transfer to:About 73% men at baseline, and the cardiovascular outcome is not broken down by sex.

The study · 1

Holman et al., effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE), a randomised, double-blind, placebo-controlled trial · Lancet Diabetes Endocrinol 2017;5(11):877-886

Go Deeper

Common Questions

Should a healthy person wear a continuous glucose monitor?

Nothing has tested whether wearing one changes a health outcome in someone without diabetes. The sensor's +16 mg/dL over-reading and the narrow healthy range, both noted above, mean a normal day can look worse on the graph than in the blood. It shows your own patterns over two weeks; it is not a diagnostic test.

Why is my fasting blood sugar higher than my after-meal reading?

They measure different organs, as the liver section lays out. A fasting glucose comes from the liver's overnight output; a post-meal reading comes from how fast muscle took the meal up. High fasting with a normal two-hour value points at the liver, and the reverse points at muscle (Abdul-Ghani 2006). One normal result does not clear the other.

Does a glucose spike after eating mean something is wrong?

In a person with normal glucose handling, no. A rise after eating is ordinary physiology, and healthy people spend only about 30 minutes a day above 140 mg/dL. Part of what a monitor shows as a spike is its high reading, noted above. What matters is how high the rise goes, how long it lasts, and whether glucose is raised at rest as well.

How does exercise lower blood sugar without insulin?

Muscle contraction moves GLUT4 to the cell surface through calcium and AMPK signaling that runs separately from the insulin pathway (Sylow 2017). That is why a walk after a meal lowers the rise, and why it still works when muscle has stopped responding well to insulin. One session leaves insulin sensitivity raised for about 48 hours (Mikines 1988).

Is HbA1c always accurate?

No. The reasons are mostly about red cells: iron deficiency raises it, other anemias can lower it, and anything that alters red-cell survival shifts it. Certain hemoglobin variants can throw off the assay itself (English 2015). At the same measured glucose it differs across ethnic groups by up to 0.47 percentage points, for reasons not yet known (Ziemer 2010).

Explore Related

Other pages this one connects to, by the evidence they share, the outcomes they touch, and the ground they cover.

Shares a source · 2 shared Skeletal muscle clears most of your blood sugar, releases signaling proteins when it contracts, and its strength is one of the sharpest predictors of how long you live.
Shares a source · 2 shared Acarbose is a decades-old type 2 diabetes drug that blunts carbohydrate absorption and lowers post-meal blood sugar. Its glycemic record is modest, and STOP-NIDDM showed it delays diabetes.
Shares a source Type 2 diabetes is often improvable and, caught early, sometimes reversible: nearly half reached remission after weight loss in the DiRECT trial. What eating, movement and the modern drugs each change.
Shares a source Metabolic health predicts risk better than the number on the scale.
Shares a source A short easy walk soon after eating lowers that meal's blood-sugar rise, more than the same walk before eating, and even two to three minutes helps. How soon to start, how long, and which meal.
Shares a source Eating inside a shorter daily window. What the calorie-matched trials show, why where the window sits matters more than how long it is, a window you can keep, and who should take care.

All 30 sources on this page independently checked and cross-referenced.

Thomas Dehli, Founder & Editor, Sacred Lotus

Sacred Lotus has published Chinese medicine reference material since 2001. Integrative pages are held to the same standard as the herb and formula library: cite the source, grade the claim at its real strength, and say where the research has not looked. This page is educational and it is not medical advice. Last reviewed and updated August 10, 2026.