A Lower-Carbohydrate, Higher-Fat Diet Reduces Abdominal and Intermuscular Fat and Increases Insulin Sensitivity in Adults at Risk of Type 2 Diabetes
Open accessAbstract
Background Obesity, particularly visceral and ectopic adiposity, increases the risk of type 2 diabetes.Objective The aim of this study was to determine if restriction of dietary carbohydrate is beneficial for body composition and metabolic health.Methods Two studies were conducted. In the first, 69 overweight/obese men and women, 53% of whom were European American (EA) and 47% of whom were African American (AA), were provided with 1 of 2 diets (lower-fat diet: 55%, 18%, and 27% of energy from carbohydrate, protein, and fat, respectively; lower-carbohydrate diet: 43%, 18%, and 39%, respectively) for 8 wk at a eucaloric level and 8 wk at a hypocaloric level. In the second study, 30 women with polycystic ovary syndrome (PCOS) were provided with 2 diets (lower-fat diet: 55%, 18%, and 27% of energy from carbohydrate, protein, and fat, respectively; lower-carbohydrate diet: 41%, 19%, and 40%, respectively) at a eucaloric level for 8 wk in a random-order crossover design.Results As previously reported, among overweight/obese adults, after the eucaloric phase, participants who consumed the lower-carbohydrate vs. the lower-fat diet lost more intra-abdominal adipose tissue (IAAT) (11 ± 3% vs. 1 ± 3%; P < 0.05). After weight loss, participants who consumed the lower-carbohydrate diet had 4.4% less total fat mass. Original to this report, across the entire 16-wk study, AAs lost more fat mass with a lower-carbohydrate diet (6.2 vs. 2.9 kg; P < 0.01), whereas EAs showed no difference between diets. As previously reported, among women with PCOS, the lower-carbohydrate arm showed decreased fasting insulin (-2.8 μIU/mL; P < 0.001) and fasting glucose (-4.7 mg/dL; P < 0.01) and increased insulin sensitivity (1.06 arbitrary units; P < 0.05) and "dynamic" β-cell response (96.1 · 10(9); P < 0.001). In the lower-carbohydrate arm, women lost both IAAT (-4.8 cm(2); P < 0.01) and intermuscular fat (-1.2 cm(2); P < 0.01). In the lower-fat arm, women lost lean mass (-0.6 kg; P < 0.05). Original to this report, after the lower-carbohydrate arm, the change in IAAT was positively associated with the change in tumor necrosis factor α (P < 0.05).Conclusion A modest reduction in dietary carbohydrate has beneficial effects on body composition, fat distribution, and glucose metabolism. This trial was registered at clinicaltrials.gov as NCT00726908 and NCT01028989.
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TL;DR
In two studies of adults at risk of type 2 diabetes, a modestly lower-carbohydrate, higher-fat diet improved body composition, fat distribution, and glucose metabolism compared with a lower-fat diet. The lower-carbohydrate diet reduced intra-abdominal and intermuscular fat and increased insulin sensitivity, with ethnic differences in fat loss.
Key findings
- In overweight/obese adults during the eucaloric phase, the lower-carbohydrate vs. lower-fat diet produced greater loss of intra-abdominal adipose tissue (IAAT) (11 ± 3% vs. 1 ± 3%; P < 0.05); during the hypocaloric phase, the lower-carbohydrate group had 4.4% less total fat mass (P < 0.05).
- Across the entire 16-wk study, African American participants lost more fat mass with the lower-carbohydrate diet (6.2 vs. 2.9 kg; P < 0.01), whereas European American participants showed no difference between diets.
- In women with polycystic ovary syndrome (PCOS), the lower-carbohydrate arm decreased fasting insulin (P < 0.001) and fasting glucose (P < 0.01) and increased insulin sensitivity (P < 0.05) and dynamic β-cell response (P < 0.001); women lost IAAT (24.8 cm²; P < 0.01) and intermuscular fat (21.2 cm²; P < 0.01), while the lower-fat arm lost lean mass (P < 0.05).
- Markers of inflammation did not change with either diet in either study; after the lower-carbohydrate arm in PCOS, change in IAAT was positively associated with change in TNF-α (standardized coefficient = 0.45, P = 0.04).
Methods
- Study 1: 69 overweight/obese nondiabetic men and women aged 21–50 y, approximately 50% African American and 50% European American by design, were assigned to a lower-fat diet (55% carbohydrate, 18% protein, 27% fat) or lower-carbohydrate diet (43% carbohydrate, 18% protein, 39% fat) for 8 wk eucaloric followed by 8 wk hypocaloric (−1000 kcal/d); body composition by DXA, fat distribution by CT, and acute insulin response to glucose were assessed.
- Study 2: 30 women with PCOS were enrolled in a random-order crossover design with lower-fat (55% carbohydrate, 18% protein, 27% fat) and lower-carbohydrate (41% carbohydrate, 19% protein, 40% fat) diets at a eucaloric level for 8 wk each, with a 4-wk washout; outcomes included fasting glucose, fasting insulin, insulin sensitivity, β-cell response, DXA, CT-measured IAAT and intermuscular adipose tissue, and circulating inflammation markers.
- Analyses used paired t tests, ANCOVA, and multiple linear regression with SAS version 9.3 and α = 0.05; some outcomes were previously reported, and original analyses in this report addressed inflammation and ethnic-group responses.
Limitations
- The paper states that the lower-carbohydrate prescription (43% carbohydrate) may not have been sufficiently low to reduce inflammation, and that the greater saturated fat content (12–13%) may have negated any beneficial effect of carbohydrate reduction.
- The paper states that longer-term and prospective studies are needed to examine inflammation, phenotype-by-diet interactions, and effects in African American and European American adults.
- Evident from the text: the studies had small samples and short 8-wk diet arms, many outcomes were previously reported, and no blinding is described; the lack of change in inflammation markers limits conclusions about anti-inflammatory effects.
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Claims the paper makes
0 of 76 cited sources checked · 0 supported · 0 flagged
- Findingown data
Markers of inflammation did not change in response to either diet in women with polycystic ovary syndrome.
“Original to this report, markers of inflammation did not change in response to either of the diets (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
In the lower-carbohydrate arm, women with polycystic ovary syndrome lost intermuscular fat.
“In the lower-carbohydrate arm, women lost both IAAT (24.8 cm 2 ; P < 0.01) and intermuscular fat (21.2 cm 2 ; P < 0.01).”
- Also stated in: § Results · plain
“As previously reported (32), while in the lower-carbohydrate arm, women lost both IAAT (P < 0.01) and IMAT (P < 0.01).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Goss, 2014, Effects of a eucaloric reduced carbohydrate diet on body composition and fat distribution in women with PCOS, Metabolism source
Not checked in the free run.
- Also stated in: § Results · plain
- Findingcitation
Among women with polycystic ovary syndrome, the lower-carbohydrate arm showed decreased fasting insulin.
“As previously reported, among women with PCOS, the lower-carbohydrate arm showed decreased fasting insulin (22.8 mIU/mL; P < 0.001) and fasting glucose (24.7 mg/dL; P < 0.01) and increased insulin sensitivity (1.06 arbitrary units; P < 0.05) and ''dynamic'' b-cell response (96.1 Á 10 9 ; P < 0.001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Gower, 2013, Favourable metabolic effects of a eucaloric lower-carbohydrate diet in women with PCOS, Clin Endocrinol (Oxf) source
Not checked in the free run.
- Findingown data
Markers of inflammation did not change in response to either diet in overweight/obese adults.
“Original to this report, markers of inflammation did not change in response to either of the diets (P > 0.05) when data were analyzed by paired t test or ANCOVA (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
No change in lean mass was observed over the course of the lower-carbohydrate arm in women with polycystic ovary syndrome.
“No changes in IAAT or IMAT were observed during the lower-fat arm, and no change in lean mass was observed over the course of the lower-carbohydrate arm.”
Quote in the paperNot a substantial claim
- Findingown data
After the lower-carbohydrate arm, the change in intra-abdominal adipose tissue was positively associated with the change in tumor necrosis factor alpha.
“Original to this report, after the lower-carbohydrate arm, the change in IAAT was positively associated with the change in tumor necrosis factor a (P < 0.05).”
Quote in the paperNot a substantial claim - Findingcitation
Among women with polycystic ovary syndrome, the lower-carbohydrate arm showed decreased fasting glucose.
“As previously reported, among women with PCOS, the lower-carbohydrate arm showed decreased fasting insulin (22.8 mIU/mL; P < 0.001) and fasting glucose (24.7 mg/dL; P < 0.01) and increased insulin sensitivity (1.06 arbitrary units; P < 0.05) and ''dynamic'' b-cell response (96.1 Á 10 9 ; P < 0.001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Gower, 2013, Favourable metabolic effects of a eucaloric lower-carbohydrate diet in women with PCOS, Clin Endocrinol (Oxf) source
Not checked in the free run.
- Findingown data
Over the entire 16-week study, European American participants showed no difference in fat mass loss between the lower-carbohydrate and lower-fat diets.
“Original to this report, over the course of the entire study, loss of total body fat was greater in AAs, but not EAs, in individuals receiving the lower-carbohydrate diet (Figure 2).”
Quote in the paperNot a substantial claim - Findingown data
Over the entire 16-week study, African American participants lost more fat mass with a lower-carbohydrate diet than with a lower-fat diet.
“Original to this report, over the course of the entire study, loss of total body fat was greater in AAs, but not EAs, in individuals receiving the lower-carbohydrate diet (Figure 2).”
Quote in the paperNot a substantial claim - Findingcitation
Among overweight/obese adults, after the eucaloric phase, participants who consumed the lower-carbohydrate diet lost more intra-abdominal adipose tissue than those who consumed the lower-fat diet.
“As previously reported, among overweight/obese adults, after the eucaloric phase, participants who consumed the lowercarbohydrate vs. the lower-fat diet lost more intra-abdominal adipose tissue (IAAT) (11 6 3% vs. 1 6 3%; P < 0.05).”
- Also stated in: § Results · plain
“As previously reported (27), in the eucaloric phase, loss of IAAT was significantly greater (P < 0.05; Figure 1A) in participants who consumed the lower-carbohydrate diet (11%) than in those who consumed the lower-fat diet.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Goss, 2013, Effects of diet macronutrient composition on body composition and fat distribution during weight maintenance and weight loss, Obesity (Silver Spring) source
Not checked in the free run.
- Also stated in: § Results · plain
- Findingown data
Incremental insulin AUC was significantly lower after the lower-carbohydrate breakfast meal than after the lower-fat meal.
“Results from the breakfast meal test at 4 wk indicated that the insulin response to the 2 diets differed, with peak insulin concentration (P < 0.05) and incremental insulin AUC (P < 0.01) being significantly lower after the lower-carbohydrate breakfast meal (Figure 3) (28).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Chandler-Laney, 2014, Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir, Appetite source
Not checked in the free run.
- Findingown data
In the lower-carbohydrate arm, women with polycystic ovary syndrome lost intra-abdominal adipose tissue.
“In the lower-carbohydrate arm, women lost both IAAT (24.8 cm 2 ; P < 0.01) and intermuscular fat (21.2 cm 2 ; P < 0.01).”
- Also stated in: § Results · plain
“As previously reported (32), while in the lower-carbohydrate arm, women lost both IAAT (P < 0.01) and IMAT (P < 0.01).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Goss, 2014, Effects of a eucaloric reduced carbohydrate diet on body composition and fat distribution in women with PCOS, Metabolism source
Not checked in the free run.
- Also stated in: § Results · plain
- Findingown data
Changes in markers of inflammation were not associated with the change in intra-abdominal adipose tissue in overweight/obese adults.
“Furthermore, changes in markers of inflammation were not associated with the change in IAAT.”
Quote in the paperNot a substantial claim - Findingown data
After weight loss, participants who consumed the lower-carbohydrate diet had 4.4% less total fat mass.
“After weight loss, participants who consumed the lower-carbohydrate diet had 4.4% less total fat mass.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Goss, 2013, Effects of diet macronutrient composition on body composition and fat distribution during weight maintenance and weight loss, Obesity (Silver Spring) source
Not checked in the free run.
- Findingown data
At the end of the eucaloric phase, participants who consumed the lower-carbohydrate diet had 11% less intra-abdominal fat than did those who consumed the lower-fat diet, adjusted for total fat mass and baseline intra-abdominal adipose tissue.
“Furthermore, when comparing the 2 diet groups at the end of the eucaloric phase, participants who consumed the lower-carbohydrate diet had 11% less intraabdominal fat (IAAT) than did those who consumed the lowerfat diet (P < 0.05, adjusted for total fat mass and baseline IAAT).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Goss, 2013, Effects of diet macronutrient composition on body composition and fat distribution during weight maintenance and weight loss, Obesity (Silver Spring) source
Not checked in the free run.
- Findingown data
In the lower-fat arm, women with polycystic ovary syndrome lost lean mass.
“In the lower-fat arm, women lost lean mass (20.6 kg; P < 0.05).”
- Also stated in: § Results · plain
“In contrast, while in the lower-fat arm, women lost lean mass (P < 0.05) (Figure 5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Goss, 2014, Effects of a eucaloric reduced carbohydrate diet on body composition and fat distribution in women with PCOS, Metabolism source
Not checked in the free run.
- Also stated in: § Results · plain
- Findingown data
Peak insulin concentration was significantly lower after the lower-carbohydrate breakfast meal than after the lower-fat meal.
“Results from the breakfast meal test at 4 wk indicated that the insulin response to the 2 diets differed, with peak insulin concentration (P < 0.05) and incremental insulin AUC (P < 0.01) being significantly lower after the lower-carbohydrate breakfast meal (Figure 3) (28).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Chandler-Laney, 2014, Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir, Appetite source
Not checked in the free run.
- Findingown data
Among women with polycystic ovary syndrome, the lower-carbohydrate arm showed increased insulin sensitivity.
“As previously reported, among women with PCOS, the lower-carbohydrate arm showed decreased fasting insulin (22.8 mIU/mL; P < 0.001) and fasting glucose (24.7 mg/dL; P < 0.01) and increased insulin sensitivity (1.06 arbitrary units; P < 0.05) and ''dynamic'' b-cell response (96.1 Á 10 9 ; P < 0.001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Gower, 2013, Favourable metabolic effects of a eucaloric lower-carbohydrate diet in women with PCOS, Clin Endocrinol (Oxf) source
Not checked in the free run.
- Findingcitation
Among women with polycystic ovary syndrome, the lower-carbohydrate arm showed increased dynamic beta-cell response.
“As previously reported, among women with PCOS, the lower-carbohydrate arm showed decreased fasting insulin (22.8 mIU/mL; P < 0.001) and fasting glucose (24.7 mg/dL; P < 0.01) and increased insulin sensitivity (1.06 arbitrary units; P < 0.05) and ''dynamic'' b-cell response (96.1 Á 10 9 ; P < 0.001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Gower, 2013, Favourable metabolic effects of a eucaloric lower-carbohydrate diet in women with PCOS, Clin Endocrinol (Oxf) source
Not checked in the free run.
- Findingown data
In the hypocaloric phase, total fat mass loss was greater in participants who consumed the lower-carbohydrate diet than in those who consumed the lower-fat diet.
“In the hypocaloric phase, total fat mass loss was greater in participants who consumed the lower-carbohydrate (4.4%) diet vs. those who consumed the lower-fat diet (P < 0.05; Figure 1B).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Goss, 2013, Effects of diet macronutrient composition on body composition and fat distribution during weight maintenance and weight loss, Obesity (Silver Spring) source
Not checked in the free run.
- Findingown data
In the lower-carbohydrate arm, the change in IAAT was associated with the change in TNF-alpha, independent of the change in total body fat mass.
“In support of this hypothesis, we observed that after the lowercarbohydrate arm, the change in IAAT was associated with the change in TNF-a, independent of the change in total body fat mass.”
Quote in the paperSubstantial claim - Findingown data
Within the lower-fat diet groups, the difference between ethnic groups in fat loss was significant at P = 0.05.
“Within the lower-fat diet groups, the difference between ethnic groups in fat loss was significant at P = 0.05.”
Quote in the paperNot a substantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet intervention decreased fasting glucose.
“In women with PCOS, a lower-carbohydrate diet intervention resulted in decreases in fasting glucose and fasting insulin and a concomitant improvement in insulin sensitivity.”
Quote in the paperSubstantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet resulted in lower IAAT.
“Women with PCOS also showed favorable changes in body composition (lower fat mass and preservation of lean mass) and fat distribution (lower IAAT and IMAT) with the lowercarbohydrate diet.”
Quote in the paperSubstantial claim - Findingown data
Within African-American participants, those who consumed the lower-CHO diet lost more total body fat than did those consuming the lower-fat diet (P < 0.05).
“Within AAs, those who consumed the lower-CHO diet lost more fat than did those consuming the lower-fat diet (P , 0.05).”
Quote in the paperNot a substantial claim - Findingreasoning
In women with PCOS, a lower-carbohydrate diet intervention increased first-phase beta cell response (PhiD).
“We also observed an increase in first-phase b cell response (PhiD).”
Quote in the paperSubstantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet intervention improved insulin sensitivity.
“In women with PCOS, a lower-carbohydrate diet intervention resulted in decreases in fasting glucose and fasting insulin and a concomitant improvement in insulin sensitivity.”
Quote in the paperSubstantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet intervention decreased fasting insulin.
“In women with PCOS, a lower-carbohydrate diet intervention resulted in decreases in fasting glucose and fasting insulin and a concomitant improvement in insulin sensitivity.”
Quote in the paperSubstantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet resulted in preservation of lean mass.
“Women with PCOS also showed favorable changes in body composition (lower fat mass and preservation of lean mass) and fat distribution (lower IAAT and IMAT) with the lowercarbohydrate diet.”
Quote in the paperNot a substantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet resulted in lower fat mass.
“Women with PCOS also showed favorable changes in body composition (lower fat mass and preservation of lean mass) and fat distribution (lower IAAT and IMAT) with the lowercarbohydrate diet.”
Quote in the paperSubstantial claim - Findingown data
In women with PCOS, a lower-carbohydrate diet resulted in lower IMAT.
“Women with PCOS also showed favorable changes in body composition (lower fat mass and preservation of lean mass) and fat distribution (lower IAAT and IMAT) with the lowercarbohydrate diet.”
Quote in the paperSubstantial claim - Premisecitation
Consumption of processed carbohydrates leads to elevated insulin secretion.
“The consumption of processed carbohydrates leads to elevated insulin secretion, which, in turn, promotes glucose oxidation, impairs fat oxidation, facilitates de novo lipogenesis, and promotes storage of fat (2), while at the same time leading to insulin resistance, inflammation (3), and oxidative stress (4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Magkos, 2010, Metabolic actions of insulin in men and women, Nutrition source
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- Premisecitation
A number of studies documented benefits of lower-carbohydrate diets on measures of metabolic health and medication use in patients with type 2 diabetes.
“A number of studies documented the benefits of lower-carbohydrate diets on measures of metabolic health and medication use in patients with T2D (6)(7)(8)(9)(10)(11) and for weight loss and improved metabolic health in healthy individuals (12).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [6] Mayer, 2014, Two diets with different hemoglobin A and antiglycemic medication effects despite similar weight loss in type 2 diabetes, Diabetes Obes Metab source
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- cites [7] Boden, 2005, Effect of a low-carbohydrate diet on appetite, blood glucose levels, and insulin resistance in obese patients with type 2 diabetes, Ann Intern Med source
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- cites [8] Gannon, 2006, Control of blood glucose in type 2 diabetes without weight loss by modification of diet composition, Nutr Metab (Lond) source
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- Premisecitation
Carbohydrate restriction or reduction is not currently recommended for prevention or treatment of diabetes by major organizations and institutions to which physicians turn for guidance.
“Despite these well-documented benefits, carbohydrate restriction or reduction is not currently recommended for prevention or treatment of diabetes by the major organizations and institutions to which physicians turn for guidance (13,14).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13] Evert, 2013, Nutrition therapy recommendations for the management of adults with diabetes, Diabetes Care source
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- cites [14] 2013, Standards of medical care in diabetes–2013, Diabetes Care
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- Premisecitation
Consumption of large amounts of processed carbohydrate-containing foods may be one of the major factors leading to both obesity and metabolic dysfunction.
“The consumption of large amounts of processed carbohydratecontaining foods may be one of the major factors leading to both obesity and metabolic dysfunction.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Magkos, 2010, Metabolic actions of insulin in men and women, Nutrition source
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- cites [3] Buyken, 2014, Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies, Am J Clin Nutr source
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- cites [4] de Carvalho Vidigal, 2012, The role of hyperglycemia in the induction of oxidative stress and inflammatory process, Nutr Hosp
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- Premisecitation
The impact of dietary carbohydrate on metabolism may differ with individual phenotype.
“The impact of dietary carbohydrate on metabolism may differ with individual phenotype.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [15] Gower, 2010, Glucose metabolism and diet predict changes in adiposity and fat distribution in weight-reduced women, Obesity (Silver Spring) source
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- cites [16] Gower, 2013, Insulin sensitivity affects propensity to obesity in an ethnic-specific manner: results from two controlled weight loss intervention studies, Nutr Metab (Lond) source
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- cites [17] Ebbeling, 2007, Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial, JAMA source
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- cites [18] McClain, 2013, Adherence to a low-fat vs. low-carbohydrate diet differs by insulin resistance status, Diabetes Obes Metab source
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- Premisecitation
Individuals who are more sensitive to insulin, or who secrete a greater amount of insulin in response to a glucose challenge, appear to be more sensitive to the stimulatory effects of dietary carbohydrate on fat deposition.
“Individuals who are more sensitive to insulin, or who secrete a greater amount of insulin in response to a glucose challenge, appear to be more sensitive to the stimulatory effects of dietary carbohydrate on fat deposition.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [15] Gower, 2010, Glucose metabolism and diet predict changes in adiposity and fat distribution in weight-reduced women, Obesity (Silver Spring) source
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- cites [16] Gower, 2013, Insulin sensitivity affects propensity to obesity in an ethnic-specific manner: results from two controlled weight loss intervention studies, Nutr Metab (Lond) source
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- cites [17] Ebbeling, 2007, Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial, JAMA source
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- cites [18] McClain, 2013, Adherence to a low-fat vs. low-carbohydrate diet differs by insulin resistance status, Diabetes Obes Metab source
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- Premisecitation
Women with polycystic ovary syndrome are at increased risk of type 2 diabetes.
“Women with PCOS are characterized by insulin resistance, hyperinsulinism, and perhaps visceral adiposity (22)(23)(24) and are therefore at increased risk of T2D.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Chang, 1983, Insulin resistance in nonobese patients with polycystic ovarian disease, J Clin Endocrinol Metab source
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- cites [23] Dunaif, 1997, Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis, Endocr Rev
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- cites [24] Borruel, 2013, Global adiposity and thickness of intraperitoneal and mesenteric adipose tissue depots are increased in women with polycystic ovary syndrome (PCOS), J Clin Endocrinol Metab source
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- Premisecitation
African Americans, Mexican Americans, and Native Americans secrete a greater amount of insulin than European Americans for a given amount of exposure to oral or intravenous glucose.
“African Americans (AAs), Mexican Americans, and Native Americans secrete a greater amount of insulin than do European Americans (EAs) for a given amount of exposure to oral or intravenous glucose (19)(20)(21).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [19] Gower, 2002, Contribution of insulin secretion and clearance to glucose-induced insulin concentration in African-American and Caucasian children, J Clin Endocrinol Metab source
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- cites [20] Haffner, 1996, Increased insulin resistance and insulin secretion in nondiabetic African-Americans and Hispanics compared with non-Hispanic whites. The Insulin Resistance Atherosclerosis Study, Diabetes source
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- cites [21] Stefan, 2004, Exaggerated insulin secretion in Pima Indians and African-Americans but higher insulin resistance in Pima Indians compared to African-Americans and Caucasians, Diabet Med source
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- Premisecitation
The degree of insulin sensitivity and the amount of insulin secreted after a glucose challenge affect the extent to which dietary carbohydrate quantity and quality affect change in body weight and body composition over 12-18 months.
“We and others have reported that the degree of insulin sensitivity and the amount of insulin secreted after a glucose challenge affect the extent to which dietary carbohydrate quantity and quality affect the change in body weight and body composition over 12-18 mo (15)(16)(17)(18).”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [15] Gower, 2010, Glucose metabolism and diet predict changes in adiposity and fat distribution in weight-reduced women, Obesity (Silver Spring) source
Not checked in the free run.
- cites [16] Gower, 2013, Insulin sensitivity affects propensity to obesity in an ethnic-specific manner: results from two controlled weight loss intervention studies, Nutr Metab (Lond) source
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- cites [17] Ebbeling, 2007, Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial, JAMA source
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- cites [18] McClain, 2013, Adherence to a low-fat vs. low-carbohydrate diet differs by insulin resistance status, Diabetes Obes Metab source
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- Interpretationreasoning
In the current study, the reduction in fasting glucose with the lower-carbohydrate diet may have permitted the increase in PhiD.
“In the current study, the reduction in fasting glucose observed with the lower-carbohydrate diet may have permitted the increase in PhiD.”
Quote in the paperSubstantial claim - Premisecitation
Greater IMAT is associated with elevation in markers of inflammation.
“Furthermore, greater IMAT has been associated with elevation in markers of inflammation (46).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Beasley, 2009, Health ABC study. Inflammation and race and gender differences in computerized tomography-measured adipose depots, Obesity (Silver Spring) source
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- Interpretationown data
Depletion of IAAT with carbohydrate restriction may have mediated a decrease in inflammation.
“This observation suggests that depletion of IAAT with carbohydrate restriction may have mediated a decrease in inflammation.”
Quote in the paperSubstantial claim - Study design and conductreasoning
In both studies, the protein content of the diets did not differ.
“A strength of both studies was that the protein content of the diets did not differ.”
- Also stated in: § Discussion · plain
“For this reason, the protein content of the 2 diets was carefully matched.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Premisecitation
Markers of inflammation are inversely associated with insulin sensitivity.
“Markers of inflammation are inversely associated with insulin sensitivity (37), and elevated biomarkers of inflammation are a risk factor for T2D (50).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Hyatt, 2009, Insulin sensitivity in African-American and Caucasian women: association with inflammation, Obesity (Silver Spring) source
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- Interpretationreasoning
The observed changes in body composition and fat distribution in women with PCOS would be expected to improve metabolic health.
“These changes would be expected to improve metabolic health.”
Quote in the paperSubstantial claim - Premisecitation
Elevated biomarkers of inflammation are a risk factor for T2D.
“Markers of inflammation are inversely associated with insulin sensitivity (37), and elevated biomarkers of inflammation are a risk factor for T2D (50).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] Donath, 2011, Type 2 diabetes as an inflammatory disease, Nat Rev Immunol source
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- Premisecitation
Overweight women with PCOS have elevated markers of inflammation relative to weight-matched healthy controls.
“Overweight women with PCOS have been characterized by elevated markers of inflammation relative to weight-matched healthy controls (47)(48)(49).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [47] Diamanti-Kandarakis, 2006, Indices of low-grade inflammation in polycystic ovary syndrome, Ann N Y Acad Sci source
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- cites [48] González, 2009, Evidence of proatherogenic inflammation in polycystic ovary syndrome, Metabolism source
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- cites [49] Glintborg, 2009, Plasma monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein-1alpha are increased in patients with polycystic ovary syndrome (PCOS) and associated with adiposity, but unaffected by pioglitazone treatment, Clin Endocrinol (Oxf) source
Not checked in the free run.
- May combine two claims. 16
- Classified as probably not a substantial claim. 24
May combine two claims.
FindingcitationNo changes in fasting insulin, fasting glucose, insulin sensitivity, or dynamic beta-cell response were observed while consuming the lower-fat diet in women with polycystic ovary syndrome.
“No changes in these outcomes were observed while consuming the lower-fat diet.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Gower, 2013, Favourable metabolic effects of a eucaloric lower-carbohydrate diet in women with PCOS, Clin Endocrinol (Oxf) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataLoss of total fat mass was significant with both diets but greater with the lower-carbohydrate diet in women with polycystic ovary syndrome.
“Although loss of total fat mass was significant with both diets, it was greater with the lower-carbohydrate diet (P < 0.05; adjusted for baseline total fat mass and change in lean mass).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAUC glucose did not differ between the two breakfast meals.
“AUC glucose did not differ between the 2 meals; however, serum glucose concentration was lower at 3 and 4 h during the lower-fat meal (P < 0.05).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Chandler-Laney, 2014, Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir, Appetite source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAfrican American participants had 40% greater acute insulin response to glucose than European American participants.
“However, AAs had 40% greater AIRg (P < 0.01).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo changes in intra-abdominal adipose tissue or intermuscular adipose tissue were observed during the lower-fat arm in women with polycystic ovary syndrome.
“No changes in IAAT or IMAT were observed during the lower-fat arm, and no change in lean mass was observed over the course of the lower-carbohydrate arm.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSerum glucose concentration was lower at 3 and 4 hours during the lower-fat meal than during the lower-carbohydrate meal.
“AUC glucose did not differ between the 2 meals; however, serum glucose concentration was lower at 3 and 4 h during the lower-fat meal (P < 0.05).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Chandler-Laney, 2014, Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir, Appetite source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationObesity, particularly visceral and ectopic adiposity, increases the risk of type 2 diabetes.
“Obesity, particularly visceral and ectopic adiposity, increases the risk of type 2 diabetes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Bays, 2004, Role of the adipocyte, free fatty acids, and ectopic fat in pathogenesis of type 2 diabetes mellitus: peroxisomal proliferator-activated receptor agonists provide a rational therapeutic approach, J Clin Endocrinol Metab source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA number of studies documented benefits of lower-carbohydrate diets for weight loss and improved metabolic health in healthy individuals.
“A number of studies documented the benefits of lower-carbohydrate diets on measures of metabolic health and medication use in patients with T2D (6)(7)(8)(9)(10)(11) and for weight loss and improved metabolic health in healthy individuals (12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Hu, 2014, The low-carbohydrate diet and cardiovascular risk factors: evidence from epidemiologic studies, Nutr Metab Cardiovasc Dis source
Not checked in the free run.
May combine two claims.
PremisecitationElevated insulin secretion promotes glucose oxidation, impairs fat oxidation, facilitates de novo lipogenesis, and promotes storage of fat.
“The consumption of processed carbohydrates leads to elevated insulin secretion, which, in turn, promotes glucose oxidation, impairs fat oxidation, facilitates de novo lipogenesis, and promotes storage of fat (2), while at the same time leading to insulin resistance, inflammation (3), and oxidative stress (4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Magkos, 2010, Metabolic actions of insulin in men and women, Nutrition source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe combination of insulin resistance and hyperinsulinemia disrupts lipid metabolism and increases the risk of cardiovascular disease.
“The combination of insulin resistance and hyperinsulinemia also disrupts lipid metabolism and increases the risk of cardiovascular disease, the most common source of mortality among individuals with T2D (5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Morrish, 2001, Mortality and causes of death in the WHO Multinational Study of Vascular Disease in Diabetes, Diabetologia source
Not checked in the free run.
May combine two claims.
PremisecitationConsumption of processed carbohydrates leads to insulin resistance, inflammation, and oxidative stress.
“The consumption of processed carbohydrates leads to elevated insulin secretion, which, in turn, promotes glucose oxidation, impairs fat oxidation, facilitates de novo lipogenesis, and promotes storage of fat (2), while at the same time leading to insulin resistance, inflammation (3), and oxidative stress (4).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Buyken, 2014, Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies, Am J Clin Nutr source
Not checked in the free run.
- cites [4] de Carvalho Vidigal, 2012, The role of hyperglycemia in the induction of oxidative stress and inflammatory process, Nutr Hosp
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInsulin resistance, in combination with beta cell dysfunction, contributes to the development of type 2 diabetes.
“Insulin resistance, in combination with b cell dysfunction, contributes to the development of type 2 diabetes (T2D) 4 (1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] Bays, 2004, Role of the adipocyte, free fatty acids, and ectopic fat in pathogenesis of type 2 diabetes mellitus: peroxisomal proliferator-activated receptor agonists provide a rational therapeutic approach, J Clin Endocrinol Metab source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAfrican American and European American participants did not differ with respect to age, BMI, or fat mass.
“AA and EA participants did not differ with respect to age, BMI, or fat mass.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the polycystic ovary syndrome study, participants were assigned by using a randomization scheme to one of two diets.
“After completing baseline testing, participants were assigned, by using a randomization scheme, to 1 of 2 diets: a lower-fat diet with a macronutrient composition of 55% carbohydrate, 18% protein, and 27% fat (% of energy from each) or a lower-carbohydrate diet with a macronutrient composition of 41% carbohydrate, 19% protein, and 40% fat.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationInsulin sensitivity was selected as a covariate because it interacts with diet composition in determining changes in body composition over time.
“Insulin sensitivity was selected as a covariate because it interacts with diet composition in determining changes in body composition over time (15,16).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] Gower, 2010, Glucose metabolism and diet predict changes in adiposity and fat distribution in weight-reduced women, Obesity (Silver Spring) source
Not checked in the free run.
- cites [16] Gower, 2013, Insulin sensitivity affects propensity to obesity in an ethnic-specific manner: results from two controlled weight loss intervention studies, Nutr Metab (Lond) source
Not checked in the free run.
May combine two claims.
PremisecitationWomen with polycystic ovary syndrome are characterized by insulin resistance, hyperinsulinism, and perhaps visceral adiposity.
“Women with PCOS are characterized by insulin resistance, hyperinsulinism, and perhaps visceral adiposity (22)(23)(24) and are therefore at increased risk of T2D.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Chang, 1983, Insulin resistance in nonobese patients with polycystic ovarian disease, J Clin Endocrinol Metab source
Not checked in the free run.
- cites [23] Dunaif, 1997, Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis, Endocr Rev
Not checked in the free run.
- cites [24] Borruel, 2013, Global adiposity and thickness of intraperitoneal and mesenteric adipose tissue depots are increased in women with polycystic ovary syndrome (PCOS), J Clin Endocrinol Metab source
Not checked in the free run.
May combine two claims.
Interpretationown dataA modest reduction in dietary carbohydrate has beneficial effects on body composition, fat distribution, and glucose metabolism.
“A modest reduction in dietary carbohydrate has beneficial effects on body composition, fat distribution, and glucose metabolism.”
Quote in the paperSubstantial claim- Rests on an assumption: When dietary carbohydrate is restricted and insulin declines, metabolic processes shift to favor fat oxidation over lipid storage.
- Rests on an assumption: When dietary carbohydrate is restricted and insulin declines, the lipid profile improves and lipotoxic processes that impair beta cell function and insulin action resolve.
Classified as probably not a substantial claim.
Study design and conductreasoningIn both studies, the two experimental diets were matched for protein content to avoid potential confounding effects of altered protein intake on body composition or metabolic outcomes.
“In both studies, the 2 experimental diets were matched for protein content to avoid potential confounding effects of altered protein intake on body composition or metabolic outcomes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationIntra-abdominal adipose tissue is a depot associated with metabolic dysfunction that is enlarged in individuals with type 2 diabetes.
“a depot associated with metabolic dysfunction that is enlarged in individuals with T2D (34,35).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [34] Carey, 1997, Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses’ Health Study, Am J Epidemiol source
Not checked in the free run.
- cites [35] Chan, 1994, Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGreater IMAT was observed in men with T2D and is associated with greater prevalence of hyperglycemia.
“However, greater IMAT was observed in men with T2D and has been associated with greater prevalence of hyperglycemia (45).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Miljkovic-Gacic, 2008, Adipose tissue infiltration in skeletal muscle: age patterns and association with diabetes among men of African ancestry, Am J Clin Nutr source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationDietary protein affects insulin secretion.
“In addition, dietary protein affects insulin secretion (53) and satiety (54).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Nuttall, 1991, Plasma glucose and insulin response to macronutrients in nondiabetic and NIDDM subjects, Diabetes Care source
Not checked in the free run.
May combine two claims.
InterpretationcitationCarbohydrate restriction reduces insulin secretion, which may facilitate fat mobilization, particularly from the intra-abdominal area.
“These observations suggest that carbohydrate restriction reduces insulin secretion, which may facilitate fat mobilization (33), particularly from the intra-abdominal area, a depot associated with metabolic dysfunction that is enlarged in individuals with T2D (34,35).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Karpe, 2011, Fatty acids, obesity, and insulin resistance: time for a reevaluation, Diabetes source
Not checked in the free run.
- Rests on an assumption: When dietary carbohydrate is restricted and insulin declines, metabolic processes shift to favor fat oxidation over lipid storage.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOn a cross-sectional basis, tumor necrosis factor alpha was associated with intra-abdominal adipose tissue but not with total fat mass or any other individual fat depot.
“Furthermore, on a cross-sectional basis, TNF-a was associated with IAAT but not with total fat mass or any other individual fat depot (37).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Hyatt, 2009, Insulin sensitivity in African-American and Caucasian women: association with inflammation, Obesity (Silver Spring) source
Not checked in the free run.
May combine two claims.
Interpretationown dataAmong individuals at elevated risk of T2D (overweight/obese/prediabetic adults and women with PCOS), restriction of dietary carbohydrate relative to restriction of dietary fat resulted in favorable changes in body composition, fat distribution, and glucose metabolism that may reduce the risk of T2D.
“In summary, among 2 groups of individuals at elevated risk of T2D (overweight/obese/prediabetic adults, women with PCOS), restriction of dietary carbohydrate (relative to restriction of dietary fat) resulted in favorable changes in body composition, fat distribution, and glucose metabolism that may reduce the risk of T2D.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWe previously observed that insulin-sensitive African American women who consumed a diet relatively high in glycemic load showed greater gain in body fat under freeliving conditions.
“We previously observed that insulin-sensitive AA women who consumed a diet relatively high in glycemic load showed greater gain in body fat under freeliving conditions (16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Gower, 2013, Insulin sensitivity affects propensity to obesity in an ethnic-specific manner: results from two controlled weight loss intervention studies, Nutr Metab (Lond) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a previous study involving weight loss with a hypocaloric prescription, decreases in all markers of inflammation assessed were observed, with the decrease in tumor necrosis factor alpha best explained by the decrease in intra-abdominal adipose tissue.
“In a previous study that involved weight loss with the use of a hypocaloric prescription, we observed decreases in all markers of inflammation assessed, with the decrease in TNF-a best explained by the decrease in IAAT (36).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Fisher, 2011, Effect of diet with and without exercise training on markers of inflammation and fat distribution in overweight women, Obesity (Silver Spring) source
Not checked in the free run.
May combine two claims.
InterpretationcitationFatty infiltration of skeletal muscle is either a contributor to, or a marker of, impaired metabolic health.
“These observations suggest that fatty infiltration of skeletal muscle is either a contributor to, or a marker of, impaired metabolic health.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningIn the study, food was provided throughout, so differences in satiety/hunger were not anticipated to affect study results because food intake was determined by the study protocol.
“We provided food throughout the study; thus, we did not anticipate that differences in satiety/hunger would affect study results, because food intake was determined by the study protocol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationElevated dietary protein may contribute to maintenance of, or gain in, lean body mass.
“Elevated dietary protein may contribute to maintenance of, or gain in, lean body mass (52).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Mettler, 2010, Increased protein intake reduces lean body mass loss during weight loss in athletes, Med Sci Sports Exerc source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA low or inadequate first-phase beta cell response is one of the first signs of impaired beta cell function.
“A low or inadequate first-phase b cell response is one of the first signs of impaired b cell function (39) and appears to occur due to glucose toxicity (40)(41)(42)(43).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Abdul-Ghani, 2008, The relationship between fasting hyperglycemia and insulin secretion in subjects with normal or impaired glucose tolerance, Am J Physiol Endocrinol Metab source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA low or inadequate first-phase beta cell response appears to occur due to glucose toxicity.
“A low or inadequate first-phase b cell response is one of the first signs of impaired b cell function (39) and appears to occur due to glucose toxicity (40)(41)(42)(43).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [40] Godsland, 2004, Loss of beta cell function as fasting glucose increases in the non-diabetic range, Diabetologia source
Not checked in the free run.
- cites [41] Gastaldelli, 2004, Beta-cell dysfunction and glucose intolerance: results from the San Antonio metabolims (SAM) study, Diabetologia source
Not checked in the free run.
- cites [42] Meyer, 2002, Acute hyperglycemia alters the ability of the normal beta-cell to sense and respond to glucose, Am J Physiol Endocrinol Metab source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn women with or without PCOS, in vitro TNF-alpha production is correlated with circulating concentrations of testosterone and androstenedione.
“In women with or without PCOS, in vitro TNF-a production was correlated with circulating concentrations of testosterone and androstenedione (51).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] González F, Kirwan JP, Rote NS, Minium J. Evidence of mononuclear cell preactivation in the fasting state in polycystic ovary syndrome. Am J Obstet Gynecol 2014 Jun 20 (Epub ahead of print; DOI: 10.1016/j.ajog.2014.06.044).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDietary protein affects satiety.
“In addition, dietary protein affects insulin secretion (53) and satiety (54).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Paddon-Jones, 2008, Protein, weight management, and satiety, Am J Clin Nutr source
Not checked in the free run.
The paper relies on this without support.
When dietary carbohydrate is restricted and insulin declines, metabolic processes shift to favor fat oxidation over lipid storage.
“In contrast, when dietary carbohydrate is restricted and insulin declines, metabolic processes shift to favor fat oxidation over lipid storage.”
The paper relies on this without support.
When dietary carbohydrate is restricted and insulin declines, the lipid profile improves and lipotoxic processes that impair beta cell function and insulin action resolve.
“As a result, the lipid profile improves, and lipotoxic processes that impair b cell function and insulin action resolve.”
The paper relies on this without support.
African Americans, Mexican Americans, and Native Americans are at greater risk of both obesity and type 2 diabetes compared with European Americans.
“All of these minority groups are at greater risk of both obesity and T2D compared with EAs.”
The paper relies on this without support.
There is a need for nonpharmacologic treatment options for PCOS.
“Although treatment with oral contraceptives and other drugs that alter the reproductiveendocrine axis can alleviate symptoms, there is a need for nonpharmacologic treatment options.”
The paper relies on this without support.
The role of IMAT in the etiology of chronic metabolic disease has not been widely investigated.
“The role of IMAT in the etiology of chronic metabolic disease has not been widely investigated.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Poor quality carbohydrates are associated with long-term weight gain, diabetes, and CVD.
“Consistent with this constellation of adverse effects, poor quality carbohydrates are associated with long-term weight gain, diabetes, and CVD.29, 89, 158, 167”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [163]
This rapid digestion may induce multiple adverse effects, potentially stimulating reward/craving areas in the brain, activating hepatic de novo lipogenesis, increasing uric acid production, and promoting visceral adiposity.
“This rapid digestion may induce multiple adverse effects, potentially stimulating reward/craving areas in the brain, activating hepatic de novo lipogenesis, increasing uric acid production, and promoting visceral adiposity.49, 162-166”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [163]
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Self-citationIndices of low-grade inflammation in polycystic ovary syndrome
DIAMANTI‐KANDARAKIS, E., PATERAKIS, T., & KANDARAKIS, H. A. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1365.015 · Cited by 112 · see citing works
The low-carbohydrate diet and cardiovascular risk factors: evidence from epidemiologic studies
Hu, T., & Bazzano, L. A. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.12.008 · Cited by 112 · see citing works
Favourable metabolic effects of a eucaloric lower‐carbohydrate diet in women with <scp>PCOS</scp>
Gower, B. A., Chandler‐Laney, P. C., Ovalle, F., Goree, L. L., Azziz, R., Desmond, R. A., Granger, W. M., Goss, A. M., & Bates, G. W. (2013) · Clinical Endocrinology · doi:10.1111/cen.12175 · Cited by 108 · see citing works
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Insulin Sensitivity in African‐American and White Women: Association With Inflammation
Hyatt, T. C., Phadke, R. P., Hunter, G. R., Bush, N. C., Muñoz, A. J., & Gower, B. A. (2009) · Obesity · doi:10.1038/oby.2008.549 · Cited by 67 · see citing works
Self-citationThe role of hyperglycemia in the induction of oxidative stress and inflammatory process.
Vidigal, F. D. C., Cocate, P. G., Pereira, L. G., & Alfenas, R. D. C. G. (2012) · PubMed · doi:10.3305/nh.2012.27.5.5917 · Cited by 64 · see citing works
The metabolic response to a high-protein, low-carbohydrate diet in men with type 2 diabetes mellitus
Nuttall, F. Q., & Gannon, M. C. (2006) · Metabolism · doi:10.1016/j.metabol.2005.08.027 · Cited by 62 · see citing works
Adherence to a low-fat vs. low-carbohydrate diet differs by insulin resistance status
McClain, A. D., Otten, J. J., Hekler, E. B., & Gardner, C. D. (2013) · Diabetes, Obesity and Metabolism · doi:10.1111/j.1463-1326.2012.01668.x · Cited by 47 · cited 1× · see citing works
“We and others have reported that the degree of insulin sensitivity and the amount of insulin secreted after a glucose challenge affect the extent to which dietary carbohydrate quantity and quality affect the change in body weight and body composition over 12–18 mo (15–18).”
Stefan, N., Stumvoll, M., Weyer, C., Bogardus, C., Tataranni, P. A., & Pratley, R. E. (2004) · Diabetic Medicine · doi:10.1111/j.1464-5491.2004.01290.x · Cited by 44 · see citing works
Gower, B. A., Goree, L. L., Chandler-Laney, P. C., Ellis, A. C., Casazza, K., & Granger, W. M. (2011) · Metabolism · doi:10.1016/j.metabol.2011.07.011 · Cited by 31 · see citing works
Self-citationAcute hyperglycemia alters the ability of the normal β-cell to sense and respond to glucose
Meyer, J., Sturis, J., Katschinski, M., Arnold, R., Göke, B., & Byrne, M. M. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00427.2001 · Cited by 25 · see citing works
Gower, B. A., Alvarez, J. A., Bush, N. C., & Hunter, G. R. (2013) · Nutrition & Metabolism · doi:10.1186/1743-7075-10-3 · Cited by 25 · see citing works
Self-citationGannon, M. C., & Nuttall, F. Q. (2011) · Metabolism · doi:10.1016/j.metabol.2011.01.016 · Cited by 24 · see citing works
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Chandler-Laney, P. C., Morrison, S. A., Goree, L. L. T., Ellis, A. C., Casazza, K., Desmond, R., & Gower, B. A. (2014) · Appetite · doi:10.1016/j.appet.2014.04.031 · Cited by 24 · see citing works
Self-citationDietary macronutrient composition affects β cell responsiveness but not insulin sensitivity
Goree, L. L., Chandler-Laney, P. C., Ellis, A. C., Casazza, K., Granger, W. M., & Gower, B. A. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.002162 · Cited by 19 · see citing works
Self-citationEvidence of mononuclear cell preactivation in the fasting state in polycystic ovary syndrome
González, F., Kirwan, J. P., Rote, N. S., & Minium, J. (2014) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2014.06.044 · Cited by 10 · see citing works
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Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216 · see citing works
Lifestyle changes in women with polycystic ovary syndrome
Lim, S. S., Hutchison, S. K., Van Ryswyk, E., Norman, R. J., Teede, H. J., & Moran, L. J. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007506.pub4 · Cited by 725 · see citing works
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“While markers of inflammation did not change in response to either of the two diets, changes in intra-abdominal AT were associated with changes in TNF-α levels independent of changes in total body fat mass((112)).”
BackgroundThe pathophysiology of visceral adipose tissues in cardiometabolic diseases
Lee, M., & Kim, J. (2024) · Biochemical Pharmacology · doi:10.1016/j.bcp.2024.116116 · Cited by 137 · see citing works
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“The lower carbohydrate content of LCD is known to reduce insulin secretion, which promotes fat oxidation and lipolysis during negative energy balance.(10,15) In addition to LCD, time-restricted eating (TRE) has become increasingly popular in recent years for inducing clinically significant weight reduction and amelior…”
Ketogenic diet as a potential intervention for lipedema
Keith, L., Seo, C. A., Rowsemitt, C. N., Pfeffer, M., Wahi, M. M., Staggs, M., Dudek, J. E., Gower, B. A., & Carmody, M. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2020.110435 · Cited by 97 · see citing works
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Effects of Calorie Restriction in Obese Older Adults: The CROSSROADS Randomized Controlled Trial
Ard, J. D., Gower, B. A., Hunter, G. R., Ritchie, C. S., Roth, D. L., Goss, A. M., Wingo, B. C., Bodner, E. V., Brown, C. J., Bryan, D. R., et al. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw237 · Cited by 64 · see citing works
“Additionally, evaluation of other diets that demonstrate selective loss of visceral fat and preservation of lean mass underweight maintenance conditions is warranted (35).”
BackgroundSelf-citationPathophysiology of type 2 diabetes in sub-Saharan Africans
Goedecke, J. H., & Mendham, A. E. (2022) · Diabetologia · doi:10.1007/s00125-022-05795-2 · Cited by 59 · see citing works
“Very low energy (very low calorie diets [VLCDs]) and low-carbohydrate diets are associated with reduced insulin secretion [48, 58] and may be more appropriate for populations with hyperinsulinaemia.”
BackgroundLow carbohydrate dietary approaches for people with type 2 diabetes-a narrative review
Wheatley, S. D., Deakin, T. A., Arjomandkhah, N. C., Hollinrake, P. B., & Reeves, T. E. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.687658 · Cited by 50 · see citing works
Wright, C. M., & Simone, N. L. (2016) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000286 · Cited by 51 · see citing works
Namazi, N., Larijani, B. A., & Azadbakht, L. (2017) · Hormone and Metabolic Research · doi:10.1055/s-0043-112347 · Cited by 51 · see citing works
“Some studies indicated that LCDs can increase the risk of DM associated with hyperglycemia and insulin resistance [22, 23] whereas such conclusions were not made in several other studies [24–27].”
ResultCincione, R. I., Graziadio, C., Marino, F., Vetrani, C., Losavio, F., Savastano, S., Colao, A., & Laudisio, D. (2022) · Journal of Endocrinological Investigation · doi:10.1007/s40618-022-01943-y · Cited by 51 · see citing works
“Previous studies showed that low-carbohydrate diets lead to significant decrease in IR and circulating levels of markers of inflammation in most of overweight/ obese-treated PCOS women [13, 14].”
BackgroundDisparities in Treatment Uptake and Outcomes of Patients with Obesity in the USA
Lewis, K. H., Edwards-Hampton, S. A., & Ard, J. D. (2016) · Current Obesity Reports · doi:10.1007/s13679-016-0211-1 · Cited by 51 · see citing works
Kempf, K., Röhling, M., Niedermeier, K., Gärtner, B., & Martin, S. (2018) · Nutrients · doi:10.3390/nu10081022 · Cited by 48 · see citing works
Fatty acids from diet and microbiota regulate energy metabolism
Alcock, J., & Lin, H. C. (2015) · F1000Research · doi:10.12688/f1000research.6078.1 · Cited by 45 · see citing works
Targets to treat metabolic syndrome in polycystic ovary syndrome
Mahalingaiah, S., & Diamanti‐Kandarakis, E. (2015) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2015.1101067 · Cited by 44 · see citing works
“[76] For some patients with PCOS and MBS, metformin has provided direct treatment of insulin resistance and weight loss.[4,78,79]”
BackgroundChanges in Ghrelin and Glucagon following a Low Glycemic Load Diet in Women with PCOS
Hoover, S. E., Gower, B. A., Cedillo, Y. E., Chandler-Laney, P. C., Deemer, S. E., & Goss, A. M. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab028 · Cited by 40 · see citing works
“The specific composition of the test diets have been re-ported (21, 22).”
Self-citationVolek, J. S., Yancy, W. S., Gower, B. A., Phinney, S. D., Slavin, J. L., Koutnik, A. P., Hurn, M., Spinner, J. R., Cucuzzella, M. T., & Hecht, F. M. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1376098 · Cited by 37 · see citing works
“Examples of phenotypic traits that differ with ancestry include the greater acute insulin response, greater beta-cell response, and lower hepatic insulin extraction, all of which have been well documented in Black compared to White children and adults (59, 60).”
BackgroundSelf-citationObesity in African‐Americans: The role of physiology
Gower, B. A., & Fowler, L. A. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13090 · Cited by 32 · see citing works
“7) [29].”
Self-citationFeng, Y., Zhao, D., Zhang, N., Yu, C., Qiang, Z., Thijs, L., & Staessen, J. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153171 · Cited by 36 · see citing works
“[7] Previous clinical studies of the association of insulin resistance with markers of inflammation[7–10] or dyslipidaemia included middle-aged overweight or obese participants,[11–13] people at risk of diabetes mellitus,[9–11] or patients with the metabolic syndrome[11–13] or type-2 diabetes.”
BackgroundLi, L., Li, R., Tian, Q., Luo, Y., Li, R., Lin, X., Ou, Y., Guo, T., Chen, X., Pan, A., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101801 · Cited by 42 · see citing works
Chen, A. M. H., Draime, J. A., Berman, S., Gardner, J. C., Krauss, Z., & Martinez, J. (2022) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2022.100129 · Cited by 35 · see citing works
Kazeminasab, F., Miraghajani, M. S., Khalafi, M., Sakhaei, M. H., Rosenkranz, S. K., & Santos, H. O. (2024) · European Journal of Clinical Nutrition · doi:10.1038/s41430-024-01431-x · Cited by 28 · see citing works
Meir, A. Y., Shelef, I., Schwarzfuchs, D., Gepner, Y., Tene, L., Zelicha, H., Tsaban, G., Bilitzky, A., Komy, O., Cohen, N., et al. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00309.2016 · Cited by 28 · see citing works
Muhammed Saeed, A. A., Noreen, S., Awlqadr, F. H., Farooq, M. I., Qadeer, M., Rai, N., Farag, H. A., & Saeed, M. N. (2025) · Journal of Health, Population and Nutrition · doi:10.1186/s41043-025-00899-y · Cited by 29 · see citing works
Effect of Ketogenic Diet on Obesity and Other Metabolic Disorders: Narrative Review
Baylie, T., Ayelgn, T., Tiruneh, M., & Tesfa, K. (2024) · Diabetes, Metabolic Syndrome and Obesity · doi:10.2147/dmso.s447659 · Cited by 27 · see citing works
“51,52 Ketone bodies may have epigenetic cellular effects by inhibiting histone deacetylase (HDAC) enzymes, altering transcription differently and upregulating specific genes that code for bioenergetics enzymes (Figure 4).”
BackgroundRevisiting the Compensatory Theory as an explanatory model for relapse in obesity management
Martins, C., Dutton, G. R., Hunter, G. R., & Gower, B. A. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa243 · Cited by 27 · see citing works
“body fat after 1 year than those with low insulin sensitivity and low acute insulin response to glucose (AIRg) (95, 96).”
BackgroundSelf-citationDietary carbohydrates, components of energy balance, and associated health outcomes
Smith, H., Gonzalez, J. T., Thompson, D., & Betts, J. A. (2017) · Nutrition Reviews · doi:10.1093/nutrit/nux045 · Cited by 23 · see citing works
Hakim, O., Bello, O., Ladwa, M., Christodoulou, D., Bulut, E., Shuaib, H., Peacock, J. L., Umpleby, A. M., Charles‐Edwards, G., Amiel, S. A., et al. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107866 · Cited by 23 · see citing works
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High-fat diet effects on metabolic responses to chronic stress
Nemati, M., Zardooz, H., Rostamkhani, F., Abadi, A., & Foroughi, F. (2017) · Archives of Physiology and Biochemistry · doi:10.1080/13813455.2017.1295083 · Cited by 22 · see citing works
“It has been shown that high-fat diet causes these alterations by increasing fat deposits, especially intra-abdominal fat (Costa et al., 2011a, 2011b; Gower & Goss, 2015), and also by increasing the plasma levels of free fatty acids (Karpe et al., 2011; Ragheb & Medhat, 2011; Sears & Perry, 2015).”
BackgroundMetabolic characterization of overweight and obese adults
Hirsch, K. R., Smith‐Ryan, A. E., Blue, M. N. M., Mock, M. G., Trexler, E. T., & Ondrak, K. S. (2016) · The Physician and Sportsmedicine · doi:10.1080/00913847.2016.1248222 · Cited by 21 · see citing works
“Using mean and standard deviation values from a similar population [70], a sample of 50 subjects was determined, providing a power of at least 80% for a repeated measures ANOVA with significance of α = 0.”
Correlation between dietary intake and obesity risk factors among healthy adults
Shatwan, I. M., & Almoraie, N. M. (2022) · Clinical Nutrition Open Science · doi:10.1016/j.nutos.2022.08.007 · Cited by 20 · see citing works
Calcaterra, V., Verduci, E., Pascuzzi, M. C., Magenes, V. C., Fiore, G., Profio, E. D., Tenuta, E., Bosetti, A., Todisco, C. F., D’Auria, E., et al. (2021) · Nutrients · doi:10.3390/nu13082805 · Cited by 20 · see citing works
A Ketogenic Diet is Effective in Improving Insulin Sensitivity in Individuals with Type 2 Diabetes
Skow, S. L., & Jha, R. K. (2022) · Current Diabetes Reviews · doi:10.2174/1573399818666220425093535 · Cited by 20 · see citing works
Ibarra‐Reynoso, L. D. R., Pisarchyk, L., Pérez-Luque, E. L., Garay‐Sevilla, M. E., & Malacara, J. M. (2015) · Nutrition & Metabolism · doi:10.1186/s12986-015-0027-0 · Cited by 18 · see citing works
“In adults, short-term food restriction induces a decrease in insulin levels [43].”
BackgroundAmino acids intake and physical fitness among adolescents
On behalf of the HELENA Study Group, Gracia‐Marco, L., Bel‐Serrat, S., Cuenca‐García, M., González‐Gross, M., Pedrero‐Chamizo, R., Μanios, Y., Marcos, A., Molnár, D., Widhalm, K., et al. (2017) · Amino Acids · doi:10.1007/s00726-017-2393-6 · Cited by 17 · see citing works
“In addition, higher carbohydrates intake is accompanied of higher insulin secretion, which is a determining factor of AA incorporation into muscle cells and proteins (Gower and Goss 2015).”
Yarar‐Fisher, C., Li, J., McLain, A., Gower, B. A., Oster, R. A., & Morrow, C. D. (2019) · Trials · doi:10.1186/s13063-019-3520-3 · Cited by 17 · see citing works
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Self-citationDiané, A., Kupreeva, M., Borthwick, F., Proctor, S. D., Pierce, W. D., & Vine, D. F. (2015) · Journal of Endocrinology · doi:10.1530/joe-14-0711 · Cited by 15 · see citing works
Guideline for the Management of Insulin Resistance
Govers, E. (2015) · International Journal of Endocrinology and Metabolic Disorders · doi:10.16966/2380-548x.115 · Cited by 13 · see citing works
Barry, V. G., Stewart, M., Soleymani, T., Desmond, R. A., Goss, A. M., & Gower, B. A. (2021) · Nutrients · doi:10.3390/nu13020475 · Cited by 13 · see citing works
“LCHF diets restrict carbohydrate consumption to < 45% of energy intake and emphasize limits on starch and sugar, while encouraging the consumption of healthy (mono- and polyunsaturated) fats and the maintenance of moderate protein intake [6,7].”
BackgroundResultSelf-citationDutkowska, A., Konieczna, A., Breska-Kruszewska, J., Krzyczkowska-Sendrakowska, M., Kowalska, I., & Rachoń, D. (2019) · Endokrynologia Polska · doi:10.5603/ep.a2019.0006 · Cited by 11 · see citing works
Sleep Duration and Visceral Adipose Tissue: Linear and Nonlinear Mendelian Randomization Analyses
Yu, Y., Chen, Y., Zhang, H., Ai, S., Zhang, J., Benedict, C., Wang, N., Lu, Y., & Tan, X. W. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac551 · Cited by 11 · see citing works
Trouwborst, I., Jardon, K. M. C., Gijbels, A., Hul, G. B. J., Feskens, E. J. M., Afman, L. A., Linge, J., Goossens, G. H., & Blaak, E. E. (2024) · Nutrition & Metabolism · doi:10.1186/s12986-024-00795-y · Cited by 9 · see citing works
“Both quality and quantity of dietary protein, fat and carbohydrate seem to impact body composition, body fat distribution, and ectopic fat deposition [9, 12], as well as affect insulin sensitivity and glucose control [14].”
BackgroundSoni, S., Skow, R. J., Foulkes, S., Haykowsky, M. J., & Dyck, J. R. B. (2025) · Cardiovascular Research · doi:10.1093/cvr/cvaf004 · Cited by 10 · see citing works
“94,95 Although not observed in all cases, it is important to recognize that this duration of a very low carbohydrate diet is considerably lower than another report that show potential detrimental effects when ketogenic diets are extended to 16 weeks in rats.”
Association between insulin sensitivity and lean mass loss during weight loss
Bartholomew, C. L., Martins, C., & Gower, B. A. (2024) · Obesity · doi:10.1002/oby.24022 · Cited by 10 · see citing works
“Additionally, all food was provided, and protein intake did not differ between groups [7].”
BackgroundSelf-citationA bibliometric and visual analysis of low carbohydrate diet
Lü, G., Huang, X., Lin, C., Zou, L., & Pan, H. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1085623 · Cited by 8 · see citing works
“It has been demonstrated that consuming a diet high in carbohydrate increases the risk of developing metabolic and chronic diseases, and that lowering carbohydrate intake decreases the incidence of morbidity (2).”
BackgroundImpact of diet restriction in the management of diabetes: evidences from preclinical studies
Krishan, P., Bedi, O., & Rani, M. (2017) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-017-1453-5 · Cited by 8 · see citing works
Niswender, K. D., Fazio, S., Gower, B. A., & Silver, H. J. (2018) · Metabolism · doi:10.1016/j.metabol.2018.01.020 · Cited by 9 · see citing works
Self-citationKazeminasab, F., Mohebinejad, M., Mahboobi, M. H., Nojoumi, M., Belyani, S., Bagheri, R., & Dutheil, F. (2025) · Journal of the International Society of Sports Nutrition · doi:10.1080/15502783.2025.2528534 · Cited by 7 · see citing works
“Additionally, more work is needed to compare the effectiveness of aerobic versus resistance training for promoting favorable metabolic adaptations [107].”
Effects of free access to sugar solutions on the control of energy intake
Zhao, C., & Castonguay, T. W. (2016) · Food Reviews International · doi:10.1080/87559129.2016.1149863 · Cited by 7 · see citing works
“human volunteers resulted incomparable or greater weight reduction when compared to that of volunteers fed a low-fat control diet after one year.((16,17)) High-fructose corn syrup (HFCS) is a commercially available sweetener that is composed of both glucose and fructose derived”
BackgroundConceptual Model of Lean Body Mass in Pediatric Inflammatory Bowel Disease
Barnes, M. J., Lynch, M. K., Lisenby, M., Jester, T., Maclin, J., Knight, T., Fisher, G., & Gower, B. A. (2018) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0000000000002212 · Cited by 7 · see citing works
Self-citationMartins, C., Bryan, D. R., Sweatt, S. K., Garvey, W. T., Fontaine, K. R., Dutton, G. R., & Gower, B. A. (2025) · Obesity · doi:10.1002/oby.24201 · Cited by 6 · see citing works
“In our previous controlled feeding study, FM loss was greater with the low-CHO (vs. low-fat) diet overall, but differences between diets were far more striking in AA individuals [16].”
Self-citationLow carbohydrate and ketogenic diets in type 2 diabetes
Clifton, P. M., Carter, S., Headland, M. L., & Keogh, J. B. (2015) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000241 · Cited by 6 · see citing works
“Gower and Goss [5] found that in 30 women with polycystic ovary syndrome (a risk factor for type 2 diabetes), the low carbohydrate diet lowered”
BackgroundInfluentialPharmacological Advances to the Treatment of Obesity
Londoño-Lemos, M. E. (2018) · Journal of Childhood Obesity · doi:10.21767/2572-5394.100043 · Cited by 5 · see citing works
“In adults, short-term food restriction induces a decrease in insulin levels [50].”
BackgroundExogenous ketone esters as a potential therapeutic for treatment of sarcopenic obesity
Deemer, S. E., Roberts, B. M., Smith, D. L., Plaisance, E. P., & Philp, A. (2024) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00471.2023 · Cited by 4 · see citing works
Khodarahmi, M., Tabrizi, F. P. F., & Askari, G. (2025) · BMC Nutrition · doi:10.1186/s40795-025-01062-w · Cited by 4 · see citing works
“Of these studies, 18 were classified as ‘fair’[32, 34–36, 38, 40–42, 46–48, 51, 52, 54, 58–60, 63], 13 as ‘good’ [30, 33, 37, 39, 43–45, 49, 50, 53, 57, 61, 64] and 4 as ‘weak’ [31, 55, 56, 62].”
InfluentialPossible Weight Regain Managements after Bariatric Surgery
Ardekani, M. K., Lacy, V. A., Eshghjoo, S., & Anbara, T. (2022) · Obesity and metabolism · doi:10.14341/omet12859 · Cited by 4 · see citing works
Khodarahmi, M., Seyedhosseini-Ghaheh, H., & Askari, G. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70566 · Cited by 3 · see citing works
“…et al. 2021; Ebbeling et al. 2022; Erdem et al. 2022; Flechtner-Mors et al. 2010; Forsythe et al. 2008; Freedland et al. 2020; Goss et al. 2020; Gower and Goss 2015; Harvey et al. 2019; Johnston et al. 2006; Jonasson et al. 2014; Jönsson et al. 2009; Juraschek et al. 2016; Keogh et al. 2008;…”
InfluentialChagas, C. L., Pinho, C. P. S., da Silva, N. F., Rodrigues, I. G., Arcoverde, G. M. P. F., Cabral, P. C., & de Arruda, I. K. G. (2025) · Nutrition · doi:10.1016/j.nut.2025.112874 · Cited by 4 · see citing works
Increasing the rigor of body composition and adiposity measurement in multiple sclerosis research
Taylor, M. G., Goss, A. M., & Wingo, B. C. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1737057 · Cited by 2 · see citing works
“For example, in a study investigating the relationship between low-fat and low-carbohydrate diet interventions, DXA indicated improvements in total fat mass, which was further detailed by MRI to be reductions specifically in visceral adiposity (37).”
Self-citationStröhle, A., Behrendt, I., & Hahn, A. (2021) · Zahnmedizin up2date · doi:10.1055/a-1593-5031 · Cited by 2 · see citing works
“Ähnliche oder noch bessere Effekte lassen sich mit einer kohlenhydratreduzierten mediterranen Ernährung [69,70] oder einer Ernährung nach dem OmniHeart-Prinzip [74] mit reichlich Gemüse, Obst, Hülsenfrüchten, Nüssen sowie Milchprodukten, qualitativ hochwertigen Speiseölen (Oliven- und Rapsöl), Fisch, Geflügel und Voll…”
BackgroundChoi, H., Kim, Y. S., & Yim, J. (2024) · Nutrition Research and Practice · doi:10.4162/nrp.2024.18.1.78 · Cited by 2 · see citing works
“A reduced carbohydrate diet (41% energy from carbohydrates over 8 weeks) has beneficial effects on fat distribution, including IMAT, in individuals at risk of developing T2DM [14].”
BackgroundHoover, S. E., Il’yasova, D., Fontaine, K. R., Spasojević, I., Gower, B. A., & Goss, A. M. (2021) · Current Developments in Nutrition · doi:10.1093/cdn/nzab082 · Cited by 2 · see citing works
Self-citationWeight loss in clinical trials: It's all about engagement
Gower, B. A. (2023) · Obesity · doi:10.1002/oby.23959 · Cited by 1 · see citing works
“African Americans also show greater weight loss when provided with a low-versus high-glycemic diet [9].”
BackgroundSelf-citationTorres, S. Y. L., Gower, B. A., Garvey, W. T., & Martins, C. (2025) · Obesity · doi:10.1002/oby.70020 · Cited by 1 · see citing works
Self-citationLet the food be medicine: A paradigm shift post Covid-19
Habib, M., Singh, S., Jan, S., Jan, K., Maqsood, S., & Bashir, K. (2025) · Food and Humanity · doi:10.1016/j.foohum.2025.100849 · Cited by 1 · see citing works
Kim, S., Lee, H., & Kang, M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0333620 · Cited by 3 · see citing works
Tasleem, H., Abbas, A., Afzal, M. K., et al. (2026) · Chemistry & Biodiversity · doi:10.1002/cbdv.71363 · Cited by 1 · see citing works
“In contrast, [42] highlighted that low fat levels help alleviate insulin resistance, whereas [43] reported that high fiber and complex carbohydrates in plant by-products help to delay glucose absorption, regulate blood sugar after ingestion, and improve gut health.”
Aproximaciones farmacológicas para el tratamiento de la obesidad
Londoño-Lemos, M. E. (2017) · Revista Colombiana de Ciencias Químico Farmacéuticas · doi:10.15446/rcciquifa.v46n1.67293 · Cited by 1 · see citing works
Moschonis, G., Livingstone, K. M., & Biesiekierski, J. R. (2019) · MDPI eBooks · doi:10.3390/books978-3-03921-446-4 · Cited by 1 · see citing works
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Polymorphism, Carbohydrates, Fat, and Type 2 Diabetes
López‐Miranda, J., & Marı́n, C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801585-8.00024-5
Koolhydraatarme voeding bij diabetes mellitus type 2
van Hoek-Ottenkamp, W. (2017) · Huisarts en Wetenschap · doi:10.1007/s12445-017-0404-1
Biology of Human Aging and Recent Nutrition Therapy
Bando, H., Ebe, K., & Bando, M. (2017) · Molecular Biology · doi:10.4172/2168-9547.1000203
“After that, LCD has been more prevalent with the several efficacy in clinical practice [6-8].”
BackgroundBando, H. (2017) · Institutional Repositories DataBase (IRDB)
Association between Central Obesity and the Socio-Economic Profile in Women
(2017) · International Journal of Diabetes & Metabolic Disorders · doi:10.33140/ijdmd/02/01/00004
“Healthy eating habits are inversely associated to CO and there are already accounts that demonstrate the possibility of reducing the accumulation of adipose tissue and improving health through changes in lifestyles [13,17-21].”
BackgroundAtherogenic dyslipidemia typical for metabolic syndrome
Blaha, V., Víšek, J., & Lášticová, M. (2020) · Vnitřní lékařství · doi:10.36290/vnl.2020.003
“39 % celkového příjmu energie) měla větší vliv na redukci tukové tkáně během 16týdenního sledování (13).”
BackgroundAn IGF-1 Levels Decrease in SOPK-RI Model Mice After A Low-Carb Diet
Ermawati, E., Santoso, B. I., Widjiati, W., & Aryani, H. P. (2020) · STRADA JURNAL ILMIAH KESEHATAN · doi:10.30994/sjik.v9i2.298
“The addition of protein intake can significantly increase satiety to reduce body weight, Body Mass Index (BMI), waist circumference and total body fat, thus potentially increasing insulin sensitivity (Gower and Goss, 2015).”
BackgroundCompreensão sobre alimentação: visão do portador de diabetes tipo 2
Avelaneda, E. F., Detregiachi, C. R. P., Spadella, M. A., et al. (2020) · Revista Brasileira em Promoção da saúde · doi:10.5020/18061230.2020.11864
The modulation of carbohydrate intake and intermittent fasting in obese Saudi women: a pilot study
Al-jammaz, M. H., Al-kalifah, A., Albader, N., & Alhussain, M. H. (2023) · Bulletin of the National Research Centre/Bulletin of the National Research Center · doi:10.1186/s42269-023-01118-6
“The production of less insulin due to reduced carbohydrate intake in LCD during negative energy balance promotes fat oxidation and lipolysis (Gower and Goss 2015; Hjorth et al. 2017).”
BackgroundHigh-Protein Diet Prevents Glucocorticoid-Induced Fat Mass Accumulation and Hyperglycemia
Burke, S. J., Batdorf, H. M., Ducote, M. P., Martin, T. M., Karlstad, M. D., Noland, R. C., Ghosh, S., Morrison, C. D., & Collier, J. J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26094212
“Regardless, our data are consistent with similar diets improving HbA1C and glycemic control in human studies [33–35].”
Trouwborst, I., Jardon, K. M. C., Gijbels, A., Hul, G. B. J., Feskens, E. J. M., Afman, L. A., Linge, J., Goossens, G. H., & Blaak, E. E. (2024) · Figshare · doi:10.6084/m9.figshare.25572506
Aierken, A., Li, B., Liu, P., Cheng, X., Kou, Z., Tan, N., Zhang, M., Yu, S., Shen, Q., Du, X., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19588815
Ibrahim, Z. M., & Mohammed, M. T. (2026) · Obesity Medicine · doi:10.1016/j.obmed.2026.100693
Petrushchenkova, M. S., Ільїн, В. М., Khmelnytska, Y. K., & Varvarynets, A. O. (2026) · Bulletin of Problems Biology and Medicine · doi:10.29254/2077-4214-2026-1-180-82-95
Serrano-Ferrer, J. (2016) · theses.fr (ABES) · doi:10.70675/273090a8z86c4z49a7z9a95z7db7821742a6
“De manière générale, l’exercice physique (Snowling et Hopking, 2006) et une restriction calorique seule (Gower et al 2015) améliorent significativement l’insulinémie basale et la résistance à l’insuline dans le DMT2.”
Pagano, A. F. (2016) · doi:10.70675/b2e8ea4ez5cd3z43a4zae84z3a8e6d8c661f
“…l’activité physique, l’impact des régimes restrictifs sur le contenu en IMAT chez des personnes obèses a également été étudié (Avila et al., 2010, Christiansen et al., 2009, Gallagher et al., 2014, Gower & Goss, 2015, Mojtahedi et al., 2011, Ryan & Harduarsingh-Permaul, 2014, Ryan & Nicklas, 1999).”
BackgroundKhalafi, M., Maleki, A. H., Ehsanifar, M., Aghaeinejad, M., Sakhaei, M. H., Rosenkranz, S. K., Symonds, M. E., & Ramezani, F. (2026) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2026.2681938
“Finally, 25 articles met all inclusion criteria and were included in the meta-analyses (Kirk et al. 2009; Haufe et al. 2011; Gower and Goss 2015; Veum et al. 2017; Cohen et al. 2018; Chen et al. 2020; Cunha et al. 2020; Goss et al. 2020; Maekawa et al. 2020; Valsdottir et al. 2020; Cipryan et al.…”
Muscle in fat trouble: The rise of IMAT in metabolic and musculoskeletal disease
Weik, V., Birkenfeld, A., Peter, A., Weigert, C., & Dreher, S. (2026) · Molecular Metabolism · doi:10.1016/j.molmet.2026.102424
- Authors
- Gower, B. A., & Goss, A. M.
- Affiliations
- University of Alabama at Birmingham (US)
- Corresponding author
- Gower, Barbara A
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 145
- Issue
- 1
- Pages
- 177S-183S
- ISSN
- 0022-3166 (ISSN-L)
- PMC
- PMC4264021
- OpenAlex
- W2060603521
- Semantic Scholar
- b96a4c2139543414f5c8968e5e16ec5281988250
- Cited by
- 98
- References
- 58
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 10 · 2023: 3 · 2022: 10 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 5 · 2017: 11 · 2016: 14 · 2015: 6
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Nutrition (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Alabama at Birmingham (P30DK56336)
- Egg Nutrition Center
- University of Alabama
- National Institutes of Health (5ul1rr025777-04, 5p60dk079626-05, UL1TR001417)
- Center for Clinical and Translational Science, University of Alabama at Birmingham (UL1RR025777)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK67538, P60-DK-079626, R01DK067538, P30-DK56336, T32DK062710, P30DK056336, P30DK079626)
- National Center for Research Resources (UL1-RR-025777)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD054960)
- Topics
- Health Sciences › Medicine › Physiology › Diet and metabolism studies
- Health Sciences › Medicine › Physiology › Dietary Effects on Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- dietary fat restriction, type 2 diabetes prevention, insulin sensitivity, intra-abdominal adipose tissue, visceral fat, polycystic ovary syndrome, body composition, fat loss, weight loss, African American women, European American women, beta-cell function, fasting blood glucose
- MeSH terms
- Adult, Blood Glucose, Body Composition, Body Weight, Energy Intake, Diabetes Mellitus, Type 2, Fasting, Female, Food Handling, Humans, Inflammation, Insulin, Insulin Resistance, Islets of Langerhans, Male, Middle Aged, Obesity, Polycystic Ovary Syndrome, Risk Factors, Biomarkers, Cross-Over Studies, Diet, Fat-Restricted, Abdominal Fat, Overweight, Diet, High-Fat
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
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