Calorie Control with Glucose Stability Matches Intermittent Fasting for Visceral Fat Loss

The evidence is clear: simple calorie restriction with stable blood sugar works as well as intermittent fasting for losing dangerous belly fat. Multiple large-scale studies, including a 50-week trial with 150 participants and a 2025 study with 197 people using MRI imaging, consistently show that when calorie intake is matched, intermittent fasting provides no additional benefit for visceral adipose tissue reduction. The primary driver is creating an energy deficit and maintaining stable glucose patterns, not the timing of when you eat. Weight loss amount matters more than method, with approximately 20% visceral fat reduction occurring with just 5% body weight loss regardless of approach.

Visceral fat and fatty liver drive the entire metabolic syndrome cascade

The accumulation of visceral adipose tissue and hepatic fat represents ground zero for metabolic dysfunction, initiating a cascade that leads to type 2 diabetes, cardiovascular disease, chronic kidney disease, multiple cancers including hepatocellular, colorectal and breast cancers, and neurodegenerative conditions such as Alzheimer’s disease. Taylor’s Twin Cycle Hypothesis explains this pathophysiology: excess calories first accumulate in subcutaneous fat, but once this protective buffer reaches capacity, fat spills over into visceral depots and the liver. This ectopic fat deposition creates a self-reinforcing dual cycle where hepatic insulin resistance increases glucose production while pancreatic fat accumulation impairs insulin secretion. The Diabetes Remission Clinical Trial (DiRECT) proved this hypothesis by showing that aggressive calorie restriction could completely reverse type 2 diabetes in 46% of participants at one year.

Visceral adipocytes drain directly into the portal vein supplying the liver, delivering free fatty acids and inflammatory cytokines directly to this crucial metabolic organ. Each unit of visceral fat produces approximately three times more IL-6 and TNF-α than subcutaneous fat while secreting less protective adiponectin. This inflammatory cocktail creates hepatic insulin resistance through diacylglycerol activation of protein kinase C, ceramide-induced mitochondrial dysfunction, and endoplasmic reticulum stress from lipid overload.

Fatty liver disease affects 25 to 30% of the global population. Once hepatic fat exceeds 5.5%, insulin sensitivity plummets exponentially. The CALERIE study demonstrated that just 1% reduction in liver fat through calorie restriction improved hepatic insulin sensitivity by 7 to 8%. Fatty liver drives systemic inflammation, promotes oxidative stress, increases cardiovascular risk, and progresses to NASH in 20 to 30% of cases.

Critically, this visceral fat accumulation isn’t limited to overweight individuals. Approximately 20% of normal-weight adults globally harbor dangerous levels of visceral fat despite having “healthy” BMI between 18.5 and 24.9. This phenomenon, termed Metabolically Obese Normal Weight (MONW) or “skinny fat,” occurs when individuals exceed their genetically-determined subcutaneous fat storage capacity. These individuals face 2 to 4 fold increased cardiovascular mortality risk and 3 to 4 fold increased diabetes risk, yet remain undetected by BMI-based screening.

The condition is particularly pronounced in Asian populations, where up to 43.6% of South Asians with normal BMI exhibit metabolic abnormalities. Metabolic dysfunction occurs at BMI levels as low as 21 to 23 kg/m² in Asians compared to 30 kg/m² in Europeans. Among all patients with non-alcoholic fatty liver disease, 19 to 25% are lean, with lean NAFLD patients facing 15-year mortality rates of 76% versus 21% for those without fatty liver.

As little as 0.6 grams of excess pancreatic fat suffices to impair β-cell function. The Whitehall II study showed that β-cell function begins declining 3 to 6 years before diabetes diagnosis. The DiRECT trial showed that reducing pancreatic fat by just 1.2% through calorie restriction restored first-phase insulin response in diabetes remitters.

This visceral-hepatic-pancreatic axis drives metabolic syndrome through interconnected pathways. Visceral adiposity independently predicts incident hypertension with each kilogram increasing systolic blood pressure by 3 to 4 mmHg. Cardiovascular disease risk doubles with visceral obesity independent of BMI. The MESA study found that visceral fat volume independently predicted all-cause mortality with a hazard ratio of 1.44 per standard deviation.

The definitive comparisons reveal no fasting advantage

The HELENA trial followed 150 overweight adults for 50 weeks, comparing 5:2 intermittent fasting to daily calorie restriction, both achieving 20% weekly energy deficit. Using MRI scanning, both groups lost identical weight at 50 weeks: 5.2% for intermittent fasting versus 4.9% for daily restriction. Visceral fat changes were proportional to weight loss in both groups with no significant differences. The researchers concluded that intermittent fasting “may be equivalent but not superior to continuous calorie restriction.”

A 2025 Nature Medicine study with 197 adults tested whether adding time-restricted eating to a Mediterranean diet would enhance visceral fat loss. After 12 weeks with MRI measurement, no group showed additional visceral fat reduction from time restriction. The timing of eating windows offered no metabolic advantage.

Trepanowski’s 2018 study compared alternate-day fasting to daily 75% calorie intake for 24 weeks. Using MRI, both groups showed equivalent visceral fat reduction: 24% for alternate-day fasting versus 29% for continuous restriction. The researchers emphasized that “weight loss, rather than the pattern of energy restriction, appeared to be the main driver.”

A 2025 meta-analysis examining 20 randomized controlled trials confirmed these findings at scale. While intermittent fasting showed some short-term advantages in reducing inflammation markers, continuous calorie restriction actually performed better for reducing hunger and fatigue. The conclusion: intermittent fasting is not superior for enhancing human health.

Calorie restriction powerfully reduces visceral fat through distinct mechanisms

A 2023 British Journal of Sports Medicine meta-analysis examining 40 trials with 2,190 participants found caloric restriction produced a robust effect size of -0.53 for visceral fat reduction, nearly double the effect of exercise alone. Studies showed visceral adipose tissue area reductions ranging from 33.6 to 51.6 cm².

The CALERIE Phase 2 trial demonstrated these effects in non-obese adults. This study of 218 adults achieved 11.9% calorie reduction over two years. Participants lost 7.5 kg with 71% coming from fat mass. HOMA-IR decreased 20 to 30%, demonstrating that simple calorie restriction without timing manipulations produces clinically meaningful benefits.

Visceral fat responds preferentially to energy deficits

Visceral fat gets mobilized preferentially during calorie restriction through distinct biological mechanisms. After just 14 days on a 1,000-calorie diet, visceral fat significantly decreased while subcutaneous fat remained unchanged. During fasting, visceral fat showed dramatically enhanced gene expression: β3-adrenergic receptors increased 3.2-fold, hormone-sensitive lipase increased 2.3-fold, and PPAR-gamma increased 2.2-fold. These genes barely changed in subcutaneous fat.

Barzilai’s research demonstrated that visceral fat accumulation directly causes hepatic insulin resistance. When aged rats were put on calorie restriction, visceral fat decreased to one-third of free-feeding rats, and hepatic insulin sensitivity completely restored to young rat levels. Giordano’s 2013 study showed that with just 5% weight loss, TNF-α decreased by 36% and IL-6 dropped by 30%, while anti-inflammatory IL-10 increased by 35%.

Reducing meal frequency lowers insulin exposure for fat mobilization

Kahleova’s 2014 trial compared eating six small meals daily versus two larger meals with identical calories. The two-meal approach produced 60% more weight loss (3.7 kg versus 2.3 kg) and significantly improved insulin sensitivity. The superior effect stemmed from longer periods between meals, allowing reduced total daily insulin exposure.

Cameron’s 2010 study revealed the mechanism: while six meals created lower insulin peaks, frequent eating sustained insulin above 100 pmol/L throughout the day, the critical threshold for half-maximal suppression of lipolysis. This suppressed free fatty acids by 11% compared to three meals daily. Frequent snacking keeps insulin elevated enough to block fat cells from releasing stored triglycerides.

Postprandial glucose control directly impacts visceral fat accumulation

Maintaining postprandial glucose below 120 mg/dL powerfully influences visceral fat accumulation. Understanding the distinction between glycemic index and glycemic load becomes crucial, as glycemic load proves far more predictive of metabolic outcomes. The glycemic index measures only carbohydrate quality, while glycemic load accounts for actual portion sizes.

A low-GL, whole-food plant-based diet offers unique advantages for glucose stability through its naturally high fiber content. Soluble fiber forms a viscous gel in the digestive tract that physically slows glucose absorption, while insoluble fiber dilutes available carbohydrates and reduces enzymatic efficiency. Studies demonstrate that consuming 10-15 grams of fiber per meal can reduce postprandial glucose peaks by 20-35% and extend the glucose absorption curve, preventing rapid spikes and crashes.

Plant-based diets averaging 40 to 60 grams of daily fiber create multiple glucose-stabilizing mechanisms. This stands in stark contrast to typical animal-based diets that provide only 15 grams of fiber daily. Beta-glucans from oats and barley increase viscosity 5-fold in the small intestine. Resistant starch from legumes escapes digestion entirely, feeding beneficial gut bacteria that produce short-chain fatty acids improving insulin sensitivity. The physical food matrix of whole plant foods requires more mechanical and enzymatic breakdown, naturally slowing glucose release compared to processed alternatives.

The Nurses’ Health Study following 75,521 women found that high dietary glycemic load increased type 2 diabetes risk by 47%, while glycemic index alone showed no significant association. Notably, women consuming the highest quintile of cereal fiber (>7.5g/day) had 30% lower diabetes risk independent of glycemic load. The Women’s Health Study found high glycemic load increased cardiovascular events by 90% in overweight women, but this risk was attenuated in those with high whole grain intake.

The combination of low glycemic load with high fiber intake from whole plant foods creates an optimal environment for glucose control. A meta-analysis of 42 trials found that intact whole grains reduced postprandial glucose by 19% and insulin by 23% compared to refined grains of identical carbohydrate content. Legume consumption specifically reduces the glycemic response of subsequent meals through the :second meal effect,: where fermentation products from the first meal improve insulin sensitivity hours later.

Individual glucose responses to identical foods vary dramatically. The PREDICT study analyzing 1,000 participants with continuous glucose monitors revealed that responses varied by up to 5-fold between individuals. Zeevi’s 2015 study found that universal dietary recommendations failed to predict individual postprandial responses in the majority of cases. However, high-fiber plant foods consistently produced the most stable glucose responses across individuals, suggesting fiber’s glucose-blunting effects are more universal than responses to other dietary components.

Hiyoshi’s 2019 review explained how postprandial glucose spikes above 140 mg/dL generate reactive oxygen species, activating protein kinase C and damaging endothelial function. Fiber-rich plant foods not only blunt these spikes mechanically but also provide polyphenols and antioxidants that counteract oxidative stress when glucose elevations do occur. This creates a vicious cycle where excess fat deposition perpetuates hyperglycemia and hypertriglyceridemia.

Glucose variability drives metabolic disease independent of average levels

Zhou’s 2020 review showed that glucose fluctuations increase reactive oxygen species generation more than stable hyperglycemia at the same average glucose level. High glycemic variability independently predicts cardiovascular outcomes, myocardial infarction, and stroke even after controlling for average glucose levels.

Studies with continuous glucose monitoring show healthy individuals maintain 96% of time in the 70 to 140 mg/dL range. The coefficient of variation averages 26 to 28 mg/dL in non-obese individuals but increases to approximately 50 mg/dL in morbidly obese people.

Insulin acts as the master switch controlling fat storage

Lewis’s 2002 Endocrine Reviews paper explained insulin’s dual control mechanisms. During fed states, insulin suppresses fatty acid release from adipose tissue and promotes fat deposition. The critical threshold occurs around 100 pmol/L insulin concentration where lipolysis is half-maximally suppressed.

Frequent meals throughout the day maintain insulin above this suppression threshold continuously, preventing adipose tissue from releasing stored fat even if total calories are restricted. Longer intervals between meals allow insulin to drop below 100 pmol/L, permitting the metabolic switch to fat mobilization.

Insulin sensitivity improvements occur with both approaches

Sutton’s 2018 study demonstrated that early time-restricted feeding improved insulin sensitivity independent of weight loss. However, the HELENA trial found no differences in glucose or insulin between intermittent fasting and continuous calorie restriction over 50 weeks.

The CALERIE trials demonstrated that 25% calorie restriction alone increases insulin sensitivity by approximately 40% within six months. The time course spans weeks to months, with moderate calorie restriction producing substantial improvements regardless of eating pattern.

Practical implications reveal simpler strategies work equally well

The fundamental principle is creating an energy deficit of 11 to 25% below maintenance while maintaining stable glucose patterns. With 5% body weight loss, expect approximately 20% visceral fat reduction regardless of method.

For glucose stability, keep postprandial blood sugar below 120 to 140 mg/dL with rises from baseline under 20 to 30 mg/dL. Target meals with glycemic loads below 10 to 15 per serving. Using a continuous glucose monitor for even two weeks provides invaluable personalized data that often contradicts generic glycemic tables.

Evidence supports fewer, larger meals over frequent snacking. Three meals without snacking allows insulin to drop below the lipolysis suppression threshold between meals. Create extended periods of 4 to 6 hours between meals where insulin levels decline enough to permit fat mobilization.

Include resistance training and sufficient protein (0.7 to 1.0 g/kg bodyweight) to preserve lean mass. Both aerobic exercise and resistance training independently reduce visceral adipose tissue. Choose the approach that best fits your lifestyle and ability to maintain consistently, since the metabolic mechanisms remain the same.

Conclusion: Biology favors consistency over complexity

This synthesis of nearly 30 peer-reviewed studies establishes clear conclusions. Intermittent fasting is not superior to continuous calorie restriction for visceral fat loss when energy deficits are matched. Both approaches produce approximately 20% visceral fat reduction with 5% body weight loss through the same mechanism: creating an energy deficit that preferentially mobilizes visceral adipose tissue.

The biological pathways converge on reducing total insulin exposure and glucose variability. Whether achieved through intermittent fasting or through reduced meal frequency with low-glycemic food choices, both approaches minimize the time insulin remains above 100 pmol/L. Visceral adipose tissue responds preferentially to energy deficits due to 3-fold higher β-adrenergic receptor expression and 2 to 3 times greater inflammatory cytokine production compared to subcutaneous fat.

Simple calorie control combined with stable glucose management activates these same biological pathways without the difficulty of adhering to prolonged fasting periods. The evidence demonstrates you can achieve equivalent visceral fat loss and metabolic health benefits using straightforward dietary principles, proving that consistency and moderation often outperform complexity and extremes.

References

1. Barzilai N, She L, Liu BQ, et al. Caloric restriction reverses hepatic insulin resistance in aging rats by decreasing visceral fat. J Clin Invest. 1998;101(7):1353-1361.
2. Betts JA, Richardson JD, Chowdhury EA, et al. The causal role of breakfast in energy balance and health: a randomized controlled trial in lean adults. Am J Clin Nutr. 2014;100(2):539-547.
3. Brighenti F, Benini L, Del Rio D, Casiraghi C, Pellegrini N, Scazzina F, Jenkins DJA, Vantini I. Colonic fermentation of indigestible carbohydrates contributes to the second-meal effect. Am J Clin Nutr. 2006;83(4):817-822.
4. Cameron JD, Cyr MJ, Doucet E. Increased meal frequency does not promote greater weight loss in subjects who were prescribed an 8-week equi-energetic energy-restricted diet. Br J Nutr. 2010;103(8):1098-1101.
5. Carlson O, Martin B, Stote KS, Golden E, Maudsley S, Najjar SS, Ferrucci L, Ingram DK, Longo DL, Rumpler WV, Baer DJ, Egan J, Mattson MP. Impact of reduced meal frequency without caloric restriction on glucose regulation in healthy, normal-weight middle-aged men and women. Metabolism. 2007;56(12):1729-34.
6. Ceriello A. Postprandial hyperglycemia and diabetes complications: is it time to treat? Diabetes. 2005;54(1):1-7.
7. Cui Y, Cai T, Zhou Z, Mu Y, Lu Y, Gao Z, Wu J, Zhang Y. Health Effects of Alternate-Day Fasting in Adults: A Systematic Review and Meta-Analysis. Front Nutr. 2020 Nov 24;7:586036.
8. Das SK, Roberts SB, Bhapkar MV, et al.; CALERIE-2 Study Group. Body-composition changes in the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE)-2 study: a 2-y randomized controlled trial of calorie restriction in nonobese humans. Am J Clin Nutr. 2017;105(4):913-927.
9. de Souza RJ, Bray GA, Carey VJ, et al. Effects of 4 weight-loss diets differing in fat, protein, and carbohydrate on fat mass, lean mass, visceral adipose tissue, and hepatic fat: results from the POUNDS LOST trial. Am J Clin Nutr. 2012;95(3):614-625.
10. Després JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444(7121):881-887.
11. Ding C, Chan Z, Chooi YC, Choo J, Sadananthan SA, Macdonald-Wicks L, Chang MWL, Chang YY, Michael N, Leow MKS, Velan SS, Magkos F. Regulation of glucose metabolism in nondiabetic, metabolically obese normal-weight Asians. Am J Physiol Endocrinol Metab. 2018;314(5):E494-E502.
12. Dorling JL, Das SK, Racette SB, et al. Effects of caloric restriction on human physiological, psychological, and behavioral outcomes: highlights from CALERIE phase 2. Nutr Rev. 2021;79(1):98-113.
13. Dote-Montero M, Clavero-Jimeno A, Merchán-Ramírez E, Oses M, Echarte J, Camacho-Cardenosa A, Concepción M, Amaro-Gahete FJ, Alcántara JMA, López-Vázquez A, Cupeiro R, Migueles JH, De-la-O A, García Pérez PV, Contreras-Bolivar V, Muñoz-Garach A, Zugasti A, Petrina E, Alvarez de Eulate N, Goñi E, Armendariz-Brugos C, González Cejudo MT, Martín-Rodríguez JL, Idoate F, Cabeza R, Carneiro-Barrera A, de Cabo R, Muñoz-Torres M, Labayen I, Ruiz JR. Effects of early, late and self-selected time-restricted eating on visceral adipose tissue and cardiometabolic health in participants with overweight or obesity: a randomized controlled trial. Nat Med. 2025;31(2):524-533.
14. Farshchi HR, Taylor MA, Macdonald IA. Regular meal frequency creates more appropriate insulin sensitivity and lipid profiles compared with irregular meal frequency in healthy lean women. Eur J Clin Nutr. 2004;58(7):1071-7.
15. Freckmann G, Hagenlocher S, Baumstark A, Jendrike N, Gillen RC, Rössner K, Haug C. Continuous glucose profiles in healthy subjects under everyday life conditions and after different meals. J Diabetes Sci Technol. 2007;1(5):695-703.
16. Gabel K, Kroeger CM, Trepanowski JF, et al. Differential Effects of Alternate-Day Fasting Versus Daily Calorie Restriction on Insulin Resistance. Obesity. 2019;27(9):1443-1450.
17. Gabriely I, Ma XH, Yang XM, et al. Removal of visceral fat prevents insulin resistance and glucose intolerance of aging. Diabetes. 2002;51(10):2951-2958.
18. Gerich JE. Clinical significance, pathogenesis, and management of postprandial hyperglycemia. Arch Intern Med. 2003;163(11):1306-16.
19. Giordano A, Smorlesi A, Frontini A, et al. Magnetic resonance imaging-determined visceral fat reduction associates with enhanced IL-10 plasma levels in calorie restricted obese subjects. PLoS One. 2013;8(1):e52774.
20. Hamsho M, Shkorfu W, Ranneh Y, Fadel A. Is isocaloric intermittent fasting superior to calorie restriction? A systematic review and meta-analysis of RCTs. Nutr Metab Cardiovasc Dis. 2025;35(3):103805.
21. Harvie MN, Pegington M, Mattson MP, Frystyk J, Dillon B, Evans G, Cuzick J, Jebb SA, Martin B, Cutler RG, Son TG, Maudsley S, Carlson OD, Egan JM, Flyvbjerg A, Howell A. The effects of intermittent or continuous energy restriction on weight loss and metabolic disease risk markers: a randomized trial in young overweight women. Int J Obes (Lond). 2011;35(5):714-727.
22. Hiyoshi T, Fujiwara M, Yao Z. Postprandial hyperglycemia and postprandial hypertriglyceridemia in type 2 diabetes. J Biomed Res. 2019;33(1):1-16.
23. Holmstrup ME, Owens CM, Fairchild TJ, Kanaley JA. Effect of meal frequency on glucose and insulin excursions over the course of a day. e-SPEN. 2010;5(6):e277-e280.
24. Jenkins DJA, Wolever TMS, Taylor RH, Griffiths C, Krzeminska K, Lawrie JA, Bennett CM, Goff DV, Sarson DL, Bloom SR. Slow release dietary carbohydrate improves second meal tolerance. Am J Clin Nutr. 1982;35(6):1339-1346.
25. Jensen MD, Haymond MW, Gerich JE, Cryer PE, Miles JM. Lipolysis during fasting. Decreased suppression by insulin and increased stimulation by epinephrine. J Clin Invest. 1987;79(1):207-13.
26. Jocken JW, Goossens GH, Boon H, Mason RR, Essers Y, Havekes B, Watt MJ, van Loon LJ, Blaak EE. Insulin-mediated suppression of lipolysis in adipose tissue and skeletal muscle of obese type 2 diabetic men and men with normal glucose tolerance. Diabetologia. 2013;56(10):2255-65.
27. Jovanovski E, Khayyat R, Zurbau A, Komishon A, Mazhar N, Sievenpiper JL, Blanco Mejia S, Ho HVT, Li D, Jenkins AL, Duvnjak L, Vuksan V. Should Viscous Fiber Supplements Be Considered in Diabetes Control? Results From a Systematic Review and Meta-analysis of Randomized Controlled Trials. Diabetes Care. 2019;42(5):755-766.
28. Kahleova H, Belinova L, Malinska H, et al. Eating two larger meals a day (breakfast and lunch) is more effective than six smaller meals in a reduced-energy regimen for patients with type 2 diabetes: a randomised crossover study. Diabetologia. 2014;57(8):1552-1560.
29. Khalafi M, Habibi Maleki A, Ehsanifar M, Symonds ME, Rosenkranz SK. Longer-term effects of intermittent fasting on body composition and cardiometabolic health in adults with overweight and obesity: A systematic review and meta-analysis. Obes Rev. 2025;26(2):e13855.
30. Kim B, Taniguchi K, Isobe T, Oh S. Triglyceride-glucose index is capable of identifying metabolically obese, normal-weight older individuals. J Physiol Anthropol. 2024;43(1):8.
31. Kraus WE, Bhapkar M, Huffman KM, et al. 2 years of calorie restriction and cardiometabolic risk (CALERIE): exploratory outcomes of a multicentre, phase 2, randomised controlled trial. Lancet Diabetes Endocrinol. 2019;7(9):673-683.
32. Kraus WE, Bhapkar M, Huffman KM, et al.; CALERIE Investigators. 2 years of calorie restriction and cardiometabolic risk (CALERIE): exploratory outcomes of a multicentre, phase 2, randomised controlled trial. Lancet Diabetes Endocrinol. 2019;7(9):673-683.
33. Larsen TM, Dalskov SM, van Baak M, et al. Effect of calorie restriction with or without exercise on insulin sensitivity, β-cell function, fat cell size, and ectopic lipid in overweight subjects. Diabetes Care. 2006;29(6):1337-1344.
34. Le MH, Yeo YH, Li X, et al. 2019 Global NAFLD Prevalence: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol. 2022;20(12):2809-2817.e28.
35. Lean MEJ, Leslie WS, Barnes AC, et al. 5-year follow-up of the randomised Diabetes Remission Clinical Trial (DiRECT) of continued support for weight loss maintenance in the UK: an extension study. Lancet Diabetes Endocrinol. 2024;12(4):233-246.
36. Lean MEJ, Leslie WS, Barnes AC, et al. Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol. 2019;7(5):344-355.
37. Lean MEJ, Leslie WS, Barnes AC, et al. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. Lancet. 2018;391(10120):541-551.
38. Lee SH, Han K, Yang HK, Kim HS, Cho JH, Kwon HS, Park YM, Cha BY, Yoon KH. A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose. Nutr Diabetes. 2015;5(1):e149.
39. Lewis GF, Carpentier A, Adeli K, Giacca A. Disordered fat storage and mobilization in the pathogenesis of insulin resistance and type 2 diabetes. Endocr Rev. 2002;23(2):201-229.
40. Lim EL, Hollingsworth KG, Aribisala BS, Chen MJ, Mathers JC, Taylor R. Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia. 2011;54(10):2506-2514.
41. Lim U, Ernst T, Buchthal SD, Latch M, Albright CL, Wilkens LR, Kolonel LN, Murphy SP, Chang L, Novotny R, Le Marchand L. Asian women have greater abdominal and visceral adiposity than Caucasian women with similar body mass index. Nutr Diabetes. 2011;1(5):e6.
42. Liu F, Michael D, Shaughnessy S, et al. Factors associated with visceral fat loss in response to a multifaceted weight loss intervention. Obes Sci Pract. 2018;4(1):15-23.
43. Miyazaki Y, DeFronzo RA. Visceral fat dominant distribution in male type 2 diabetic patients is closely related to hepatic insulin resistance, irrespective of body type. Cardiovasc Diabetol. 2009 Aug 5;8:44.
44. Morigny P, Houssier M, Mouisel E, Langin D. Adipocyte lipolysis and insulin resistance. Biochimie. 2016;125:259-66.
45. Munsters MJ, Saris WH. Effects of meal frequency on metabolic profiles and substrate partitioning in lean healthy males. PLoS One. 2012;7(6):e38632.
46. Munsters MJ, Saris WH. Effects of meal frequency on metabolic profiles and substrate partitioning in lean healthy males. PLoS One. 2012;7(6):e38632.
47. Neeland IJ, Ross R, Després JP, et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endocrinol. 2019;7(9):715-725.
48. Palaniappan L, Wong EC, Shin JJ, Fortmann SP, Lauderdale DS. Asian Americans have greater prevalence of metabolic syndrome despite lower body mass index. Int J Obes (Lond). 2011;35(3):393-400.
49. Patikorn C, Roubal K, Veettil SK, et al. Intermittent Fasting and Obesity-Related Health Outcomes: An Umbrella Review of Meta-analyses of Randomized Clinical Trials. JAMA Netw Open. 2021;4(12):e2139558.
50. Quek J, Chan KE, Wong ZY, et al. Global prevalence of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in the overweight and obese population: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2023;8(1):20-30.
51. Ravussin E, Redman LM, Rochon J, et al.; CALERIE Study Group. A 2-Year Randomized Controlled Trial of Human Caloric Restriction: Feasibility and Effects on Predictors of Health Span and Longevity. J Gerontol A Biol Sci Med Sci. 2015;70(9):1097-1104.
52. Recchia F, Leung CK, Yu AP, Leung W, Yu DJ, Fong DY, Montero D, Lee CH, Wong SHS, Siu PM. Dose-response effects of exercise and caloric restriction on visceral adiposity in overweight and obese adults: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2023 Aug;57(16):1035-1041.
53. Redman LM, Smith SR, Burton JH, et al. Metabolic Slowing and Reduced Oxidative Damage with Sustained Caloric Restriction Support the Rate of Living and Oxidative Damage Theories of Aging. Cell Metab. 2018;27(4):805-815.
54. Reynolds AN, Akerman AP, Mann J. Whole grain intake, compared to refined grain, improves postprandial glycemia and insulinemia: a systematic review and meta-analysis of randomized controlled trials. Crit Rev Food Sci Nutr. 2022;62(32):9022-9040.
55. Riazi K, Azhari H, Charette JH, et al. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2022;7(9):851-861.
56. Salmerón J, Manson JE, Stampfer MJ, Colditz GA, Wing AL, Willett WC. Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA. 1997;277(6):472-477.
57. Schübel R, Nattenmüller J, Sookthai D, et al. Effects of intermittent and continuous calorie restriction on body weight and metabolism over 50 wk: a randomized controlled trial. Am J Clin Nutr. 2018;108(5):933-945.
58. Schübel R, Nattenmüller J, Sookthai D, Nonnenmacher T, Graf ME, Riedl L, Schlett CL, von Stackelberg O, Johnson T, Nabers D, Kirsten R, Kratz M, Kauczor HU, Ulrich CM, Kaaks R, Kühn T. Effects of intermittent and continuous calorie restriction on body weight and metabolism over 50 wk: a randomized controlled trial. Am J Clin Nutr. 2018;108(5):933-945.
59. Stumvoll M, Jacob S, Wahl HG, Hauer B, Löblein K, Grauer P, Becker R, Nielsen M, Renn W, Häring H. Suppression of systemic, intramuscular, and subcutaneous adipose tissue lipolysis by insulin in humans. J Clin Endocrinol Metab. 2000;85(10):3740-5.
60. Sutton EF, Beyl R, Early KS, et al. Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress Even without Weight Loss in Men with Prediabetes. Cell Metab. 2018;27(6):1212-1221.
61. Swislocki ALM, Chen Y-DI, Golay A, Chang M-O, Reaven GM. Insulin dose-response characteristics for suppression of glycerol release and conversion to glucose in humans. Diabetes. 1987;36(10):1271-1278.
62. Taylor R, Al-Mrabeh A, Sattar N. Understanding the mechanisms of reversal of type 2 diabetes. Lancet Diabetes Endocrinol. 2019;7(9):726-736.
63. Taylor R. Banting Memorial lecture 2012: reversing the twin cycles of type 2 diabetes. Diabet Med. 2013;30(3):267-275.
64. Taylor R. Pathogenesis of type 2 diabetes: tracing the reverse route from cure to cause. Diabetologia. 2008;51(10):1781-1789.
65. Taylor R. Type 2 diabetes: etiology and reversibility. Diabetes Care. 2013;36(4):1047-1055.
66. Tchernof A, Després JP. Pathophysiology of human visceral obesity: an update. Physiol Rev. 2013;93(1):359-404.
67. Thomas EL, Brynes AE, McCarthy J, et al. Preferential loss of visceral fat following aerobic exercise, measured by magnetic resonance imaging. Lipids. 2000;35(7):769-776.
68. Trepanowski JF, Kroeger CM, Barnosky A, et al. Effects of alternate-day fasting or daily calorie restriction on body composition, fat distribution, and circulating adipokines: secondary analysis of a randomized controlled trial. Clin Nutr. 2018;37(6):1871-1878.
69. Trepanowski JF, Kroeger CM, Barnosky A, et al. Effects of alternate-day fasting or daily calorie restriction on body composition, fat distribution, and circulating adipokines: Secondary analysis of a randomized controlled trial. Clin Nutr. 2018;37(6 Pt A):1871-1878.
70. Trepanowski JF, Kroeger CM, Barnosky A, Klempel MC, Bhutani S, Hoddy KK, Gabel K, Freels S, Rigdon J, Rood J, Ravussin E, Varady KA. Effect of Alternate-Day Fasting on Weight Loss, Weight Maintenance, and Cardioprotection Among Metabolically Healthy Obese Adults: A Randomized Clinical Trial. JAMA Intern Med. 2017;177(7):930-938.
71. Valsesia A, Saris WH, Astrup A, et al. Distinct lipid profiles predict improved glycemic control in obese, nondiabetic patients after a low-caloric diet intervention: the Diet, Obesity and Genes randomized trial. Am J Clin Nutr. 2016;104(3):566-575.
72. Verheggen RJ, Maessen MF, Green DJ, et al. A systematic review and meta-analysis on the effects of exercise training versus hypocaloric diet: distinct effects on body weight and visceral adipose tissue. Obes Rev. 2016;17(8):664-690.
73. Wang X, Yan W, An J, et al. Is isocaloric intermittent fasting superior to calorie restriction? A systematic review and meta-analysis of RCTs. Medicine. 2025;104(1):e37817.
74. Weiss EP, Albert SG, Reeds DN, et al. Effects of matched weight loss from calorie restriction, exercise, or both on cardiovascular disease risk factors: a randomized intervention trial. Am J Clin Nutr. 2016;104(3):576-586.
75. Wood PJ, Braaten JT, Scott FW, Riedel KD, Wolynetz MS, Collins MW. Effect of dose and modification of viscous properties of oat gum on plasma glucose and insulin following an oral glucose load. Br J Nutr. 1994;72(5):731-743.
76. Younossi ZM, Golabi P, Paik JM, et al. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023;77(4):1335-1347.
77. Zelicha H, Kloting N, Kaplan A, et al. The effect of high-polyphenol Mediterranean diet on visceral adiposity: the DIRECT PLUS randomized controlled trial. BMC Med. 2022;20(1):327.
78. Zhang F, Li Y, Zhao Y, Zhou X, Ji L. Is visceral abdominal fat area a better indicator for hyperglycemic risk? Results from the Pinggu Metabolic Disease Study. J Diabetes Investig. 2020 Jul;11(4):888-895.
79. Zheng Q, Lin W, Liu C, Zhou Y, Chen T, Zhang L, Zhang C, Zhang B, Yu J, Shen L, Zhu Y, Qiu L, Zhang C, Li H, Yu Y, Ding C, Ding L. Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population. BMC Public Health. 2020;20(1):487.
80. Zhou Z, Sun B, Huang S, et al. Glycemic variability: adverse clinical outcomes and how to improve it? Cardiovasc Diabetol. 2020;19(1):102.
81. Zhou Z, Sun B, Huang S, Zhu C, Bian M. Glycemic variability: adverse clinical outcomes and how to improve it? Cardiovasc Diabetol. 2020;19(1):102.