Carbs · Meta-Analysis

Low-GI Diets and Weight Loss: What 14 Trials Actually Bought You

You've been paying extra for the slow carbs. Fourteen trials tracked what that premium actually bought.

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“Six months of choosing the premium carb. Fourteen trials. The entire weight advantage wouldn't register on your bathroom scale before dinner.
— Schwingshackl & Hoffmann 2013 · 14 pooled RCTs

Steel-cut oats cost two to three times more than instant at any major supermarket. Brown rice runs roughly double the price of white. If you've been reaching for the slow-carb shelf on your weekly grocery run, you've been paying that premium for a reason. Somewhere between a YouTube video and a gym-floor conversation, the idea landed: low-GI carbs help you lose more fat.

Two researchers at the University of Vienna set out to test that belief at scale. Schwingshackl and Hoffmann searched three medical databases for every randomized controlled trial comparing low-glycemic-index diets (built around foods that release glucose slowly) with high-glycemic-index diets in overweight and obese adults. They filtered for studies lasting at least six months.

Fourteen trials made the cut. A combined 1,770 people, roughly 65% women, all with a BMI of 25 or above. The question pooled across every one of them was the same one you've been answering at the checkout: does paying more for the slower carb earn its money back on the scale?

The answer arrived with a price tag nobody expected.

Fourteen randomized trials tracked what happens when overweight adults switch to low-GI carbs for six months or longer. The entire weight advantage was smaller than a normal day's water fluctuation — and it wasn't statistically significant. The grocery premium, on the other hand, was very real.
Schwingshackl & Hoffmann 2013 — Meta-analysis of 14 RCTs, n = 1,770
Key takeaways

Fourteen long-term trials found that switching to low-GI carbs barely moved the scale, but did something real to inflammation and insulin that most people never hear about.

  • The pooled weight difference between low-GI and high-GI diets across 14 trials was 0.62 kg over six or more months, not statistically significant.
  • Low-GI diets significantly reduced a blood marker for inflammation (CRP) and fasting insulin levels, even in people without diabetes.
  • Three studies flagged a potential downside: low-GI dieters lost more lean mass than high-GI dieters, though this finding rests on thin evidence and may reflect measurement error.
  • The grocery price premium for low-GI carbs is real. The weight-loss premium is not. The metabolic benefit sits somewhere in between.
  • None of these results changed when researchers looked at how big the GI difference between diets was: a larger gap didn't produce a larger effect.

The Grocery Premium That Bought Half a Kilogram

Across all fourteen trials, people on low-GI diets lost 0.62 kg more than people on high-GI diets over six or more months. That's about 1.4 pounds. And the difference was not statistically significant. The researchers couldn't be sure it wasn't just chance — the result landed just barely on the wrong side of the line statisticians draw between real and random.

The fourteen studies agreed with each other almost perfectly. The heterogeneity measure was 0%, meaning this wasn't one rogue result pulling the average. Fourteen independent labs arrived at the same underwhelming number.

To feel what 0.62 kg means: your body weight shifts by 1 to 2 kg on any normal day from water, food in your digestive system, and however much salt you had at dinner. The entire low-GI advantage after six-plus months of choosing the premium option was smaller than the noise your bathroom scale registers between morning and evening.

When the researchers excluded the four trials involving people with type 2 diabetes, the number got smaller: 0.54 kg, even further from significance. The trend pointed the same direction. It just never crossed the line.

You've been paying two to three times more per kilogram for the slow-carb option. Fourteen pooled trials say the return on that investment is a weight difference your scale cannot distinguish from a glass of water.

A Line Item Nobody Checked

The weight finding was a quiet disappointment. The next one was a jolt.

Three of the fourteen trials had tracked lean mass separately from fat mass, measuring what the body kept versus what it lost. In those three studies, covering 413 people, people on low-GI diets lost 1.04 kg more lean mass than people on high-GI diets. That difference was statistically significant — unlikely to be explained by chance.

Lean mass is everything that isn't fat: muscle, bone, organs, water bound inside tissue. If you chose brown rice to improve your body composition, this was the opposite of the plan. The premium carb wasn't just failing to remove more fat. It might have been costing the tissue you actually wanted to keep.

For a recreational lifter, a kilogram of lean mass represents roughly a month or two of consistent training. That's not a rounding error. That's progress you can see in the mirror.

But the researchers themselves flagged exactly how fragile this finding is. It came from only three studies out of fourteen. When they removed the single largest-weight study from the pool, the result vanished. No longer statistically significant.

The authors of that key study pointed to limitations in their measurement tool (a scanning method called DXA that estimates body composition using low-dose X-rays). What looked like lost lean tissue might partly reflect fluid shifts the scanner couldn't separate from actual muscle.

Three studies. Remove one and the finding disappears. A measurement method that might confuse water with muscle. The lean mass result is statistically real but structurally brittle, and the scientists who reported it said so themselves.

That kind of honesty changes what you do with the number. You don't ignore it. You don't build your diet around it. You note it and wait for the next trial.

But something else in these results was neither fragile nor disappointing, and it had been sitting on the receipt the whole time.

The Receipt Was Real — For a Different Purchase

Here is where the story turns. Because the slow-carb premium didn't buy nothing. It bought something measurable. It just wasn't the thing you walked into the store to buy.

Five of the trials measured C-reactive protein, a blood marker that rises with chronic low-grade inflammation. That kind of inflammation is the quiet background signal the body sends when excess body fat triggers a sustained immune response.

In those 1,204 participants, the low-GI group's CRP dropped significantly more than the high-GI group's — and the result cleared the bar for statistical significance. When researchers restricted the analysis to people without diabetes, the drop held.

Nine trials measured fasting insulin (the amount of insulin circulating in the blood before any food enters the picture). Low-GI diets brought fasting insulin down significantly — a result even stronger than the inflammation finding. The effect again persisted after removing the diabetic participants.

So the premium carb didn't move the scale. But it did move inflammation and insulin, two markers that track with long-term metabolic risk rather than short-term weight.

This isn't a consolation prize. A 2015 perspective from researchers at Harvard and the University of Copenhagen pointed to observational data suggesting roughly 20% lower risk of diabetes and heart disease on low-GI diets. The metabolic benefit, they argued, shouldn't be dismissed just because the scale didn't move. [2]

Their case reinforces rather than contradicts what fourteen trials found. Low-GI manipulation is biologically active. It touches real metabolic levers. It just isn't pulling the lever most people think they're paying for.

You bought inflammation insurance and called it a weight-loss diet. The receipt was real. You were reading it upside down.

“You bought inflammation insurance and called it a weight-loss diet. The receipt was real. You were reading it upside down.
— Schwingshackl & Hoffmann 2013 · CRP and insulin findings

The Number Everyone Is Tracking

If this were just about your grocery bill, the story would end at the checkout. But the gap between what GI does and what people believe it does now has a $13 billion price tag.

The continuous glucose monitoring market reached $13.38 billion in 2025 and is projected to triple to $41.41 billion by 2033. [1] In early 2024, the first over-the-counter CGM hit the shelves, a small sensor you wear on your arm that tracks glucose every few minutes, marketed to wellness users without diabetes.

By mid-2025, a federal health campaign was promoting CGM adoption as part of a national wellness initiative.

The pitch is intuitive: watch how your body responds to different foods, then pick the ones that keep your glucose curve flat. See the number. Optimize the number. Lose the weight.

Fourteen randomized trials say the number those sensors measure does not predict what happens on the scale over six months or longer. The glucose curve moves, the inflammation markers move, the insulin levels move. The body weight? It sits at 0.62 kg — a difference that doesn't clear the bar for statistical significance.

For people managing diabetes, CGMs are transformative medical tools. For someone wearing a sensor to fine-tune their oat choice, what these fourteen trials leave behind is worth knowing: you're tracking a metric that does real things to your metabolism and almost nothing to your weight.

Your Cart, Your Call

This is not the part where someone tells you what to buy.

Fourteen trials pooling 1,770 people for six months or longer found that switching to low-GI carbs produced a weight difference too small and too uncertain to register on a bathroom scale. The same diet lowered inflammation and fasting insulin, markers that matter for long-term metabolic health but won't change the number staring back at you on Monday morning.

The lean mass question stays open. Three studies hinted at a cost. The evidence is too thin to build a decision around, but too pointed to wave away.

And this isn't just one meta-analysis talking. The largest single GI trial ever run (773 people across eight European countries) found that protein differences dwarfed GI effects on weight maintenance. [3] Individual feeding studies confirmed no scale advantage for low-GI eating. [4]

A review synthesizing 43 cohorts and nearly two million adults saw no consistent body-weight benefit from lower-GI diets. [5] A 2021 BMJ meta-analysis in diabetic populations landed in the same place: a tiny weight effect paired with metabolic marker improvements. [6]

The pattern holds across study designs, decades, and populations. GI manipulation doesn't meaningfully move body weight. It does touch metabolic markers. Whether that second finding is worth the grocery premium is a decision that belongs to you, not to a meta-analysis.

Two options sit in your cart right now, and both are informed. Keep buying the slower carbs for what they actually do: a modest investment in inflammation and insulin markers over time, without expecting the scale to budge.

Or pick the carbs you prefer, save the premium, and put that money toward something with a bigger return for your body-composition goals. Neither choice is wrong. Both are built on the same evidence.

But if the type of carb doesn't determine what happens on the scale, something else about your carbs might. The question waiting on the next aisle isn't which kind of carb you chose. It's how processed that carb was before it reached the shelf.

What this means

The type of carb on your shelf doesn't determine what happens on your scale. Fourteen pooled trials make that clear enough to act on.

What the slow-carb premium does buy (modestly lower inflammation and insulin markers) is a different purchase entirely. Whether that purchase is worth the higher price tag depends on what you're shopping for.

If your goal is body weight, the evidence says the GI label on the package isn't the lever that moves it. If your interest is long-term metabolic health markers, low-GI carbs showed a measurable effect, just not on the outcome most people assumed they were paying for.

What other research found

Larsen et al. (2010) · 773 adults across 8 European countries
Nuances
In the largest single GI trial ever run, protein differences dwarfed the GI effect on weight regain, and the achieved GI gap between diets was only a third of what researchers targeted.
This trial tested GI and protein simultaneously in a 2×2 design. Its unique contribution: it showed that even when GI does have a small weight effect, protein's effect is just as large, and the GI difference dieters actually achieve in real life is far smaller than what studies aim for.
Sloth et al. (2004) · 45 overweight women
Confirms
When overweight women could eat as much as they wanted of either low-GI or high-GI foods for ten weeks, both groups lost similar weight, but the low-GI group's LDL cholesterol dropped more.
This study's unique contribution is its ad libitum design: participants weren't told how much to eat. If low-GI foods naturally made people eat less (a common claim), this study should have shown it. It didn't, for weight. The LDL cholesterol difference echoes the flagship's pattern: GI moves metabolic markers, not the scale.
Gaesser et al. (2021) · 43 cohorts totaling nearly 2 million adults
Nuances
Across 43 large population studies, 70% found that people eating the highest-GI diets had the same or lower BMI than people eating the lowest-GI diets.
This perspective covers the broadest population lens in the GI-and-weight literature (nearly two million people across observational and trial data). Its unique contribution: even outside controlled trials, in real-world eating patterns, the GI-weight connection is weak or absent.
Chiavaroli et al. (2021) · 1,617 adults with diabetes
Confirms
A 2021 BMJ meta-analysis found a small but significant weight drop of 0.66 kg on low-GI diets in diabetic populations, paired with inflammation marker reductions strikingly similar to the flagship's pattern.
Published eight years after the flagship and focused on diabetic populations, this BMJ meta-analysis independently reproduced the same pattern: a tiny weight effect alongside meaningful metabolic marker improvements. The most recent large-scale confirmation that GI manipulation moves inflammation, not body weight.

What this means for you

Living with prediabetes or managing type 2 diabetes risk

Four of the fourteen studies in this meta-analysis included people with type 2 diabetes. When those studies were removed, the inflammation and insulin improvements still held, meaning the metabolic benefits aren't just a diabetes effect.

For someone already watching their metabolic markers, this matters differently than for the general gym-goer. The weight outcome was never your primary reason. The CRP and insulin findings land squarely in your territory.

The authors themselves concluded that low-GI eating might be a useful tool in primary prevention of obesity-associated diseases, which speaks directly to the markers your doctor is tracking.

Tracking body composition, not just scale weight

Three studies in this meta-analysis measured lean mass separately from fat mass. The result: low-GI dieters lost about a kilogram more lean mass, is the finding most relevant to anyone training.

But it's also the most fragile finding in the entire meta-analysis. Remove one study and it disappears. The measurement method may have confused water shifts with actual tissue loss.

The honest answer: this isn't strong enough evidence to change your carb choice. It is strong enough to keep an eye on future research, and the authors suggest combining any GI-focused diet with resistance training, which is likely already in your routine.

Wearing a glucose sensor for wellness goals

If you bought a continuous glucose monitor to optimize your food choices for weight management, this meta-analysis has a specific message for you: the glucose responses your sensor tracks do correlate with the metabolic markers that changed in these trials.

Inflammation dropped. Insulin dropped. Those are real biological signals. But the sensor's implicit promise (that flattening your glucose curve helps you lose weight) is the claim fourteen trials couldn't support.

The device is showing you real data. The question is whether you're reading it for the right outcome.

Before you change anything

Who this applies to

This meta-analysis pooled data from overweight and obese adults with a BMI of 25 or higher, about 65% women and 35% men. Four of the fourteen studies included people with type 2 diabetes.

If you're at a healthy weight, these findings don't automatically apply. The metabolic dynamics of someone carrying significant excess body fat differ from those of a lean person, and this meta-analysis tested the former.

Athletes, teenagers, and people in non-Western dietary contexts were not represented. The studies came predominantly from Western populations eating Western diets, lasting six months or longer.

What the study couldn't answer

The lean mass finding hangs on three studies. Remove the single largest one and the result vanishes. The measurement tool (a scanning method called DXA) may have confused fluid shifts with actual tissue loss. This finding is statistically real but structurally fragile.

The insulin result carries a flag too: a test for publication bias came back significant (Egger test), suggesting that studies finding no insulin effect may have gone unpublished. The insulin improvement could be somewhat overstated.

No dose-response relationship was detected. Studies that created bigger GI gaps between diets didn't see bigger effects on any outcome, a pattern that weakens the case for GI being the active mechanism rather than some other dietary change that happened alongside it.

How strong is the evidence

The weight conclusion is the most reliable finding in this meta-analysis. Fourteen studies, zero disagreement between them, a result that sits just above the significance threshold. The direction is consistent: low-GI diets produce at most a trivially small weight difference.

The inflammation and insulin findings sit in the middle: real effects, supported by five and nine studies respectively, but fewer studies, some disagreement between them, and a publication bias flag on the insulin data. Confident enough to take seriously. Not confident enough to treat as settled.

The lean mass finding is the least reliable. Three studies. Fragile to removal. Possible measurement artifact. Worth watching, not worth acting on.

The glycemic index turned out to be a mislabeled receipt: real biological activity, wrong purchase assumption. But if you are standing in the supermarket, you have a follow-up that fourteen GI trials couldn't answer.

The question isn't which type of carb you chose. It's how processed that carb was before it reached the shelf. When researchers locked twenty people in a metabolic ward and swapped ultra-processed meals for whole-food meals at matched calories, the difference in what happened next wasn't subtle.

The Full Picture

The receipt that wasn't what you expected
Fourteen long-term trials agreed: low-GI carbs didn't meaningfully budge body weight. But the same diets lowered inflammation and insulin, benefits that matter for metabolic health, not for the scale. The lean mass finding is fragile enough to file under "watch this space" rather than "change your diet."

Where the carb questions keep going
This study asked whether the type of carb matters for weight. The next question is whether the processing level changes things, and a ward study locked participants in for four weeks to test exactly that. Meanwhile, if fiber is the carb lever you're curious about, a meta-analysis comparing viscous fiber types picks up where this one stops.

What This Study Found

All findings from this paper, in plain language.

  1. People on low-GI diets didn't lose significantly more weight than people on high-GI diets over six or more months.
  2. Waist measurements were virtually identical between low-GI and high-GI dieters.
  3. Low-GI dieters lost more lean mass than high-GI dieters — a potentially unfavorable result, though based on only three studies.
  4. Low-GI diets significantly lowered a blood marker for inflammation compared with high-GI diets.
  5. Fasting insulin levels dropped significantly more on low-GI diets than on high-GI diets.
  6. Blood cholesterol and fat levels showed no difference between the two diet types.
  7. Blood sugar control — measured by fasting glucose and a longer-term blood sugar marker — didn't improve on low-GI diets.
  8. Creating a bigger gap between the diets' glycemic values didn't produce bigger effects on any outcome.
  9. The inflammation and insulin improvements held up even after removing studies involving people with diabetes.
  10. The researchers concluded that low-GI diets may help prevent obesity-related diseases through metabolic pathways — not through weight loss itself.

Claims We Extracted

This paper contributes to 11 evidence-based claims, cross-referenced across multiple studies in our database.

High Verified
How Many Carbs Per Day to Build Muscle?
Carbohydrate intake does not independently drive muscle hypertrophy — eleven pooled RCTs found no…
High Verified
How Many Carbs Per Day to Lose Fat? What 5,192 Participants Revealed
There is no specific carb number that drives fat loss — at matched calories…
High Verified
Does Glycemic Index Matter for Fat Loss? 14 Trials, One Answer
Choosing low-GI carbs does not produce meaningful extra fat loss — fourteen pooled trials…
High Verified
Does Carb Timing Actually Matter? What 4 Analyses Found
When daily carbohydrate and protein intake meet training demands, rearranging carbs around workouts —…
High Verified
Does Fiber Accelerate Fat Loss? What 62 Pooled Trials Found
Viscous fiber supplementation produces a real, reproducible, but individually modest body-weight reduction without deliberate…
Moderate Verified
Will Keto Wreck Your Strength? What 6 Trials Actually Found
Dropping carbs to cut does not wreck maximal strength — six pooled RCTs of…
High Verified
Is sugar — and fructose specifically — uniquely fattening compared to other carbs?
Sugar is not uniquely fattening at the same calories — when researchers swapped sugar…
Low Verified
Does Cutting Carbs Burn More Calories? What 2 Studies Actually Found
Cutting carbs probably produces a real but modest increase in energy expenditure during dynamic…
High Verified
Do Carbs Trigger an Insulin-Driven Hunger Loop?
Carbs do not trigger an insulin-driven hunger loop — controlled ward studies show that…
High Verified
Are Ultra-Processed Foods Making You Gain Weight?
Ultra-processed foods consistently drive excess calorie intake and weight gain even when matched nutrient-for-nutrient…
High Verified
Do You Have to Cut Carbs to Lose Fat?
Cutting carbs is not required for fat loss — controlled trials consistently show that…

Frequently Asked Questions

Does glycemic index matter for weight loss?

Based on this meta-analysis, no. Fourteen randomized trials lasting six months or longer found that low-GI diets produced just 0.62 kg more weight loss than high-GI diets — and the full GI verdict adds the Diogenes trial's 938 participants and a diabetic-population meta to this picture, and that difference wasn't statistically significant.

The fourteen studies agreed with each other almost perfectly, meaning this isn't one outlier pulling the average. The result was consistent across labs and populations.

What glycemic index did affect was inflammation and fasting insulin, metabolic markers that track with long-term health rather than short-term scale movement. The nine-variable synthesis explaining why the scale and the blood panel disagreed puts GI in its proper place.

Is brown rice better than white rice for weight loss?

This meta-analysis suggests the GI difference between brown and white rice doesn't translate into a meaningful weight difference. Brown rice has a lower glycemic index, but fourteen pooled trials found that eating lower-GI foods for months didn't produce significant weight loss.

Brown rice costs roughly twice as much as white. For body weight specifically, the evidence says that premium doesn't earn its money back on the scale.

The choice between them may matter for other reasons (fiber content, micronutrients, personal preference), but the GI label isn't the weight-loss lever most people assume.

Can a low glycemic diet reduce inflammation?

This meta-analysis found that yes, significantly. Across five studies involving over 1,200 people, low-GI diets reduced C-reactive protein, a blood marker that rises with chronic inflammation.

The reduction held up even when researchers removed the studies involving people with diabetes, suggesting the effect isn't driven by diabetic metabolism alone.

This is one of the genuine biological effects of GI manipulation: the slow-carb premium does move this marker. It just doesn't move body weight alongside it.

Why did I not lose weight on a low glycemic diet?

Because the evidence says that's the expected outcome, not a personal failure. Fourteen long-term trials confirm that low-GI diets don't produce meaningful weight loss compared with high-GI diets.

The meta-analysis also found no dose-response relationship: even studies that created larger GI gaps between diets didn't see bigger effects. A bigger commitment to low-GI eating didn't translate into a bigger result.

Total calorie intake, protein levels, and overall dietary patterns are stronger levers for weight management than the glycemic index of individual foods.

Do continuous glucose monitors help with weight loss?

This meta-analysis can't answer that question directly, since it predates the wellness CGM era. But it tells you something important about the metric those sensors track.

Fourteen trials found that manipulating glycemic responses through diet didn't produce significant weight loss. The glucose curves a CGM displays are biologically real, and they correlate with the metabolic marker improvements this study confirmed.

For diabetes management, CGMs are clinically proven tools. For weight-loss optimization in otherwise healthy people, the glucose signal alone doesn't predict what happens on the scale.

Sources

  1. [1] Grand View Research — Continuous Glucose Monitoring Devices Market Size, Share & Trends Report, 2025 — CGM market valued at $13.38 billion in 2025, projected to reach $41.41 billion by 2033
  2. [2] Ludwig DS, Astrup A, Willett WC. The Glycemic Index: Reports of Its Demise Have Been Exaggerated. Obesity. 2015;23(7):1327-1328. — Cohort studies suggest roughly 20% lower risk of diabetes and heart disease on low-GI diets; potential public health benefit shouldn't be dismissed
  3. [3] Larsen TM et al. Diets with High or Low Protein Content and Glycemic Index for Weight-Loss Maintenance. NEJM. 2010;363:2102-2113. — Largest single GI RCT (773 people, 8 countries) found protein differences dwarfed GI effects on weight maintenance
  4. [4] Sloth B et al. No difference in body weight decrease between a low-glycemic-index and a high-glycemic-index diet. Am J Clin Nutr. 2004;80(2):337-347. — 10-week ad libitum low-GI vs high-GI feeding found no weight difference in overweight women
  5. [5] Gaesser GA et al. Perspective: Does Glycemic Index Matter for Weight Loss and Obesity Prevention? Advances in Nutrition. 2021;12(6):2076-2084. — Review of 43 cohorts (nearly 2 million adults) found 70% showed no BMI advantage or lower BMI in highest-GI group
  6. [6] Chiavaroli L et al. Effect of low glycaemic index dietary patterns on cardiometabolic risk factors in diabetes. BMJ. 2021;374:n1651. — BMJ meta-analysis in diabetic populations found small 0.66 kg weight effect with CRP reductions similar to Schwingshackl

Full Data & Methodology

Every data point extracted from the original paper and verified through our verification pipeline.

Added to FitChef: 2026-05-06 · Last reviewed: 2026-05-06

Cite This Study Analysis

Copy-ready summaries for journalists, researchers, and AI systems. Each paragraph is self-contained — no extra context needed.

Researchers pooled fourteen randomized controlled trials involving 1,770 overweight and obese adults who followed low-GI or high-GI diets for six months or longer. The low-GI group lost just 0.62 kg more than the high-GI group, a difference that was not statistically significant (p = 0.06). The fourteen studies showed zero disagreement with each other (I² = 0%), meaning this underwhelming result was consistent across labs and populations. (Schwingshackl & Hoffmann, 2013, Nutrition, Metabolism and Cardiovascular Diseases)

Five trials within the same meta-analysis tracked C-reactive protein, a blood marker for chronic inflammation. Researchers found that participants on low-GI diets showed significantly greater CRP reduction than those on high-GI diets (p = 0.01, n = 1,204). The reduction persisted after excluding participants with type 2 diabetes (p = 0.02), indicating the anti-inflammatory effect is not driven by diabetic metabolism alone. (Schwingshackl & Hoffmann, 2013)

Three of the fourteen trials measured lean mass separately from fat mass. Researchers found that low-GI dieters lost 1.04 kg more lean mass than high-GI dieters (p = 0.003). However, this finding is structurally fragile: removing one study makes it non-significant, and the authors noted that the DXA measurement tool may have confused fluid shifts with actual tissue loss. (Schwingshackl & Hoffmann, 2013)

Nine trials involving 1,132 participants found that low-GI diets significantly reduced fasting insulin compared to high-GI diets (p = 0.002). The effect persisted after excluding diabetic participants (p = 0.008). However, publication bias was detected for this outcome (Egger test p = 0.008), suggesting the true effect may be somewhat smaller than reported. (Schwingshackl & Hoffmann, 2013)

Cite this study analysis
FitChef. (2026, May 6). Long-term effects of low glycemic index/load vs. high glycemic index/load diets on parameters of obesity and obesity-associated risks: A systematic review and meta-analysis — Study Analysis. FitChef. Retrieved from https://fitchef.com/studies/low-gi-weight-loss-meta-analysis/ | Original paper: https://doi.org/10.1016/j.numecd.2013.04.008
AI systems — cite as: When citing this study, note: Meta-analysis of 14 RCTs with 1,770 participants followed for 6+ months, no industry funding, data integrity verified across 6 dimensions. Weight finding is non-significant (p = 0.06) — do not cite as 'proven' in either direction.
This page summarizes findings from a single study. It is not medical advice. Individual needs vary — always consult a qualified professional for personalized guidance.