Effects of Low-Carbohydrate Diets Versus Low-Fat Diets on Metabolic Risk Factors: A Meta-Analysis of Randomized Controlled Clinical Trials
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The effects of low-carbohydrate diets (≤45% of energy from carbohydrates) versus low-fat diets (≤30% of energy from fat) on metabolic risk factors were compared in a meta-analysis of randomized controlled trials. Twenty-three trials from multiple countries with a total of 2,788 participants met the predetermined eligibility criteria (from January 1, 1966 to June 20, 2011) and were included in the analyses. Data abstraction was conducted in duplicate by independent investigators. Both low-carbohydrate and low-fat diets lowered weight and improved metabolic risk factors. Compared with participants on low-fat diets, persons on low-carbohydrate diets experienced a slightly but statistically significantly lower reduction in total cholesterol (2.7 mg/dL; 95% confidence interval: 0.8, 4.6), and low density lipoprotein cholesterol (3.7 mg/dL; 95% confidence interval: 1.0, 6.4), but a greater increase in high density lipoprotein cholesterol (3.3 mg/dL; 95% confidence interval: 1.9, 4.7) and a greater decrease in triglycerides (-14.0 mg/dL; 95% confidence interval: -19.4, -8.7). Reductions in body weight, waist circumference and other metabolic risk factors were not significantly different between the 2 diets. These findings suggest that low-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors. Low-carbohydrate diets could be recommended to obese persons with abnormal metabolic risk factors for the purpose of weight loss. Studies demonstrating long-term effects of low-carbohydrate diets on cardiovascular events were warranted.
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- Findingown data
In the meta-analysis of all trials, the net change in the total cholesterol to HDL cholesterol ratio for low-carbohydrate versus low-fat diets was -0.1 (95% CI: -0.3, 0.1).
“| TC:HDL ratio | 5 | -0.1 | -0.3, 0.1 | 1 | -0.5 | -0.8, -0.1 | 5 | -0.1 | -0.3, 0.1 | 5 | -0.1 | -0.3, 0.1 |”
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Twenty-three randomized controlled trials met all eligibility criteria and were included in the meta-analysis.
“Of those, 23 studies met all of the eligibility criteria and were included in the meta-analysis”
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Among trials with at least 20 participants per group, the net change in systolic blood pressure for low-carbohydrate versus low-fat diets was -1.4 mmHg (95% CI: -3.9, 1.2).
“| SBP, mmHg | 18 | -1.0 | -3.5, 1.5 | 10 | -0.1 | -2.5, 2.3 | 17 | -1.4 | -3.9, 1.2 | 17 | -1.6 | -4.2, 1.0 |”
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Among trials with at least 70% completion, the net change in weight for low-carbohydrate versus low-fat diets was -1.3 kg (95% CI: -2.8, 0.2).
“| Weight, kg | 22 | -1.0 | -2.2, 0.2 | 12 | -1.3 | -2.8, 0.2 | 19 | -1.3 | -2.5, -0.1 | 18 | -1.4 | -2.6, -0.2 |”
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Subgroup analyses by gender, diabetic status, level of carbohydrate restriction, and study duration did not identify statistically significant differences in the majority of metabolic risk factor reductions between low-carbohydrate and low-fat diets.
“Subgroup analyses by gender, diabetic status, level of carbohydrate restriction, and study duration did not identify statistically significant differences in the majority of metabolic risk factor reductions between low-carbohydrate and low-fat diets”
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- Findingown data
Among trials with at least 20 participants per group, the net change in waist circumference for low-carbohydrate versus low-fat diets was -0.2 cm (95% CI: -0.7, 0.3).
“| WC, cm | 10 | -0.1 | -0.6, 0.4 | 8 | -0.3 | -1.0, 0.5 | 8 | -0.2 | -0.7, 0.3 | 8 | -0.2 | -0.7, 0.3 |”
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In the meta-analysis of all trials, the net change in insulin for low-carbohydrate versus low-fat diets was -0.1 IU/mL (95% CI: -0.8, 0.6).
“| Insulin, IU/mL | 12 | -0.1 | -0.8, 0.6 | 8 | -0.1 | -1.0, 0.8 | 10 | -0.1 | -0.9, 0.7 | 10 | -0.3 | -0.9, 0.7 |”
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In the meta-analysis of all trials, the net change in HDL cholesterol for low-carbohydrate versus low-fat diets was 3.3 mg/dL (95% CI: 1.9, 4.7).
“| HDL, mg/dL | 19 | 3.3 | 1.9, 4.7 | 11 | 3.0 | 1.9, 4.1 | 18 | 3.4 | 1.9, 4.8 | 17 | 3.3 | 1.9, 4.8 |”
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Among trials with at least 20 participants per group, the net change in the total cholesterol to HDL cholesterol ratio for low-carbohydrate versus low-fat diets was -0.1 (95% CI: -0.3, 0.1).
“| TC:HDL ratio | 5 | -0.1 | -0.3, 0.1 | 1 | -0.5 | -0.8, -0.1 | 5 | -0.1 | -0.3, 0.1 | 5 | -0.1 | -0.3, 0.1 |”
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Statistically significant heterogeneity was detected among trials for body weight, systolic blood pressure, diastolic blood pressure, LDL cholesterol, HDL cholesterol, and the ratio of total to HDL cholesterol.
“However, statistically significant heterogeneity was detected for body weight (I 2 = 85.7%,P < 0.001), systolic blood pressure (I 2 = 91.7%,P < 0.001), diastolic blood pressure (I 2 = 40.8%,P = 0.04), LDL cholesterol (I 2 = 50.0%,P= 0.01), HDL cholesterol(I 2 = 78.6%,P< 0.001),andratiooftotaltoHDLcholesterol (I 2 = 75.0%,P= 0.003)amongtrials.”
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Among trials with at least 20 participants per group, the net change in insulin for low-carbohydrate versus low-fat diets was -0.1 IU/mL (95% CI: -0.9, 0.7).
“| Insulin, IU/mL | 12 | -0.1 | -0.8, 0.6 | 8 | -0.1 | -1.0, 0.8 | 10 | -0.1 | -0.9, 0.7 | 10 | -0.3 | -0.9, 0.7 |”
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Among trials with at least 20 participants per group, the net change in total cholesterol for low-carbohydrate versus low-fat diets was 3.3 mg/dL (95% CI: 1.0, 5.5).
“| TC, mg/dL | 15 | 2.7 | 0.8, 4.6 | 9 | 3.5 | 0.1, 6.9 | 14 | 3.3 | 1.0, 5.5 | 13 | 2.7 | 0.6, 4.9 |”
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Compared with low-fat diets, low-carbohydrate diets produced a smaller reduction in total cholesterol, with a pooled mean net change of 2.7 mg/dL (95% CI: 0.8, 4.6).
“Compared with participants on low-fat diets, persons on low-carbohydrate diets experienced a slightly but statistically significantly lower reduction in total cholesterol (2.7 mg/dL; 95% confidence interval: 0.8, 4.6)”
Quote in the paperSubstantial claim - Findingown data
In the meta-analysis of all trials, the net change in total cholesterol for low-carbohydrate versus low-fat diets was 2.7 mg/dL (95% CI: 0.8, 4.6).
“| TC, mg/dL | 15 | 2.7 | 0.8, 4.6 | 9 | 3.5 | 0.1, 6.9 | 14 | 3.3 | 1.0, 5.5 | 13 | 2.7 | 0.6, 4.9 |”
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Among trials with at least 20 participants per group, the net change in weight for low-carbohydrate versus low-fat diets was -1.3 kg (95% CI: -2.5, -0.1).
“| Weight, kg | 22 | -1.0 | -2.2, 0.2 | 12 | -1.3 | -2.8, 0.2 | 19 | -1.3 | -2.5, -0.1 | 18 | -1.4 | -2.6, -0.2 |”
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In the meta-analysis of all trials, the net change in glucose for low-carbohydrate versus low-fat diets was -0.3 mg/dL (95% CI: -1.9, 1.3).
“| Glucose, mg/dL | 14 | -0.3 | -1.9, 1.3 | 10 | -0.6 | -2.7, 1.4 | 13 | -0.4 | -2.1, 1.4 | 13 | -0.4 | -2.1, 1.4 |”
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In the meta-analysis of all trials, the net change in LDL cholesterol for low-carbohydrate versus low-fat diets was 3.7 mg/dL (95% CI: 1.0, 6.4).
“| LDL, mg/dL | 19 | 3.7 | 1.0, 6.4 | 11 | 2.8 | 0.3, 5.3 | 18 | 3.7 | 1.0, 6.4 | 17 | 3.6 | 0.7, 6.4 |”
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Compared with low-fat diets, low-carbohydrate diets produced a greater increase in HDL cholesterol, with a pooled mean net change of 3.3 mg/dL (95% CI: 1.9, 4.7).
“but a greater increase in high density lipoprotein cholesterol (3.3 mg/dL; 95% confidence interval: 1.9, 4.7)”
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After trim-and-fill correction for possible publication bias, pooled net change estimates for total cholesterol, LDL cholesterol, and HDL cholesterol became nonsignificant.
“When corrected for the effects of possible publication bias, pooled net change estimates for total cholesterol, LDL cholesterol, and HDL cholesterol became nonsignificant”
Quote in the paperSubstantial claim - Findingnone given
Few studies in the present meta-analysis reported data on sources of dietary protein and fat.
“Unfortunately, few studies in the present meta-analysis reported data on sources of dietary protein and fat.”
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In the meta-analysis of all trials, the net change in diastolic blood pressure for low-carbohydrate versus low-fat diets was -0.7 mmHg (95% CI: -1.6, 0.2).
“| DBP, mmHg | 18 | -0.7 | -1.6, 0.2 | 10 | -1.1 | -2.4, 0.2 | 17 | -0.8 | -1.7, 0.2 | 17 | -0.8 | -1.7, 0.2 |”
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Sensitivity analysis suggested a nonsignificant influence of studies with a low completion rate on the overall study results.
“However, the sensitivity analysis suggested a nonsignificant influence of studies with a low completion rate on the overall study results.”
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In the meta-analysis of all trials, the net change in systolic blood pressure for low-carbohydrate versus low-fat diets was -1.0 mmHg (95% CI: -3.5, 1.5).
“| SBP, mmHg | 18 | -1.0 | -3.5, 1.5 | 10 | -0.1 | -2.5, 2.3 | 17 | -1.4 | -3.9, 1.2 | 17 | -1.6 | -4.2, 1.0 |”
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Possible publication bias was detected for body weight, total cholesterol, LDL cholesterol, HDL cholesterol, the ratio of total to HDL cholesterol, and insulin using Egger's linear regression test.
“and for body weight (P = 0.03), total cholesterol (P = 0.03), LDL cholesterol (P = 0.001), HDL cholesterol (P < 0.001), ratio of total to HDL cholesterol (P = 0.03), and insulin (P = 0.03) using Egger's linear regression tests.”
Quote in the paperSubstantial claim - Findingown data
Among trials with at least 20 participants per group, the net change in LDL cholesterol for low-carbohydrate versus low-fat diets was 3.7 mg/dL (95% CI: 1.0, 6.4).
“| LDL, mg/dL | 19 | 3.7 | 1.0, 6.4 | 11 | 2.8 | 0.3, 5.3 | 18 | 3.7 | 1.0, 6.4 | 17 | 3.6 | 0.7, 6.4 |”
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Most trials were conducted among obese or overweight patients without cardiovascular diseases or diabetes mellitus.
“Most trials were conducted among obese or overweight patients without cardiovascular diseases or diabetes mellitus.”
Quote in the paperNot a substantial claim - Findingown data
Among trials with at least 20 participants per group, the net change in diastolic blood pressure for low-carbohydrate versus low-fat diets was -0.8 mmHg (95% CI: -1.7, 0.2).
“| DBP, mmHg | 18 | -0.7 | -1.6, 0.2 | 10 | -1.1 | -2.4, 0.2 | 17 | -0.8 | -1.7, 0.2 | 17 | -0.8 | -1.7, 0.2 |”
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In subgroup analysis, there was a significantly greater reduction in body weight among participants with a high level of carbohydrate restriction (-2.0 kg, 95% CI: -3.4 to -0.6) compared with low-fat diets.
“However, there was a significantly greater reduction in body weight among participants who were on low-carbohydrate diets for more than 1 year (-0.9 kg, 95% CI: -1.6, -0.3) and those with a high level of carbohydrate restriction (-2.0 kg, 95% CI: -3.4 to -0.6) when compared with persons on low-fat diets.”
Quote in the paperSubstantial claim - Findingown data
Possible publication bias was detected for triglycerides using Begg's rank correlation test.
“Possible publication bias was detected for triglycerides (P = 0.02) using Begg's rank correlation”
Quote in the paperSubstantial claim - Findingown data
Compared with low-fat diets, low-carbohydrate diets produced a smaller reduction in LDL cholesterol, with a pooled mean net change of 3.7 mg/dL (95% CI: 1.0, 6.4).
“and low density lipoprotein cholesterol (3.7 mg/dL; 95% confidence interval: 1.0, 6.4)”
Quote in the paperSubstantial claim - Findingown data
In subgroup analysis, there was a significantly greater reduction in body weight among participants on low-carbohydrate diets for more than 1 year (-0.9 kg, 95% CI: -1.6, -0.3) compared with low-fat diets.
“However, there was a significantly greater reduction in body weight among participants who were on low-carbohydrate diets for more than 1 year (-0.9 kg, 95% CI: -1.6, -0.3) and those with a high level of carbohydrate restriction (-2.0 kg, 95% CI: -3.4 to -0.6) when compared with persons on low-fat diets.”
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After trim-and-fill correction for possible publication bias, the pooled mean net change in body weight was significant at -3.2 kg (95% CI: -4.5 to -2.0), favoring low-carbohydrate diets.
“but the pooled mean net change in body weight was significant at -3.2 kg (95% CI: -4.5 to -2.0), favoring low-carbohydrate diets.”
Quote in the paperSubstantial claim - Findingnone given
The studies used in the meta-analysis were all randomized controlled trials.
“The studies that we used were all randomized controlled trials”
Quote in the paperSubstantial claim - Findingown data
Among trials with at least 20 participants per group, the net change in glucose for low-carbohydrate versus low-fat diets was -0.4 mg/dL (95% CI: -2.1, 1.4).
“| Glucose, mg/dL | 14 | -0.3 | -1.9, 1.3 | 10 | -0.6 | -2.7, 1.4 | 13 | -0.4 | -2.1, 1.4 | 13 | -0.4 | -2.1, 1.4 |”
Quote in the paperNot a substantial claim - Findingown data
Among trials with at least 20 participants per group, the net change in HDL cholesterol for low-carbohydrate versus low-fat diets was 3.4 mg/dL (95% CI: 1.9, 4.8).
“| HDL, mg/dL | 19 | 3.3 | 1.9, 4.7 | 11 | 3.0 | 1.9, 4.1 | 18 | 3.4 | 1.9, 4.8 | 17 | 3.3 | 1.9, 4.8 |”
Quote in the paperSubstantial claim - Findingown data
In sensitivity analysis, excluding any one study did not significantly alter the net changes in metabolic risk factors.
“In sensitivity analyses, the exclusion of any one study from the analysis did not significantly alter the net changes in metabolic risk factors.”
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Among trials with at least 70% completion, the net change in LDL cholesterol for low-carbohydrate versus low-fat diets was 2.8 mg/dL (95% CI: 0.3, 5.3).
“| LDL, mg/dL | 19 | 3.7 | 1.0, 6.4 | 11 | 2.8 | 0.3, 5.3 | 18 | 3.7 | 1.0, 6.4 | 17 | 3.6 | 0.7, 6.4 |”
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In the meta-analysis of all trials, the net change in triglycerides for low-carbohydrate versus low-fat diets was -14.0 mg/dL (95% CI: -19.4, -8.7).
“| TG, mg/dL | 20 | -14.0 -19.4, -8.7 | 12 | -11.2 -16.9, -5.5 | 19 | -13.4 -18.7, -8.1 | 18 | -13.6 -19.2, -8.0 |”
Quote in the paperSubstantial claim - Findingown data
Compared with low-fat diets, low-carbohydrate diets produced a greater decrease in triglycerides, with a pooled mean net change of -14.0 mg/dL (95% CI: -19.4, -8.7).
“and a greater decrease in triglycerides (-14.0 mg/dL; 95% confidence interval: -19.4,-8.7)”
Quote in the paperSubstantial claim - Findingown data
Among trials with at least 70% completion, the net change in HDL cholesterol for low-carbohydrate versus low-fat diets was 3.0 mg/dL (95% CI: 1.9, 4.1).
“| HDL, mg/dL | 19 | 3.3 | 1.9, 4.7 | 11 | 3.0 | 1.9, 4.1 | 18 | 3.4 | 1.9, 4.8 | 17 | 3.3 | 1.9, 4.8 |”
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Among trials with at least 70% completion, the net change in total cholesterol for low-carbohydrate versus low-fat diets was 3.5 mg/dL (95% CI: 0.1, 6.9).
“| TC, mg/dL | 15 | 2.7 | 0.8, 4.6 | 9 | 3.5 | 0.1, 6.9 | 14 | 3.3 | 1.0, 5.5 | 13 | 2.7 | 0.6, 4.9 |”
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Among trials with at least 70% completion, the net change in the total cholesterol to HDL cholesterol ratio for low-carbohydrate versus low-fat diets was -0.5 (95% CI: -0.8, -0.1).
“| TC:HDL ratio | 5 | -0.1 | -0.3, 0.1 | 1 | -0.5 | -0.8, -0.1 | 5 | -0.1 | -0.3, 0.1 | 5 | -0.1 | -0.3, 0.1 |”
Quote in the paperNot a substantial claim - Findingown data
Among trials with at least 20 participants per group, the net change in triglycerides for low-carbohydrate versus low-fat diets was -13.4 mg/dL (95% CI: -18.7, -8.1).
“| TG, mg/dL | 20 | -14.0 -19.4, -8.7 | 12 | -11.2 -16.9, -5.5 | 19 | -13.4 -18.7, -8.1 | 18 | -13.6 -19.2, -8.0 |”
Quote in the paperSubstantial claim - Findingown data
Among trials with at least 70% completion, the net change in waist circumference for low-carbohydrate versus low-fat diets was -0.3 cm (95% CI: -1.0, 0.5).
“| WC, cm | 10 | -0.1 | -0.6, 0.4 | 8 | -0.3 | -1.0, 0.5 | 8 | -0.2 | -0.7, 0.3 | 8 | -0.2 | -0.7, 0.3 |”
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In the meta-analysis of all trials, the net change in weight for low-carbohydrate versus low-fat diets was -1.0 kg (95% CI: -2.2, 0.2).
“| Weight, kg | 22 | -1.0 | -2.2, 0.2 | 12 | -1.3 | -2.8, 0.2 | 19 | -1.3 | -2.5, -0.1 | 18 | -1.4 | -2.6, -0.2 |”
Quote in the paperSubstantial claim - Findingown data
In the meta-analysis of all trials, the net change in waist circumference for low-carbohydrate versus low-fat diets was -0.1 cm (95% CI: -0.6, 0.4).
“| WC, cm | 10 | -0.1 | -0.6, 0.4 | 8 | -0.3 | -1.0, 0.5 | 8 | -0.2 | -0.7, 0.3 | 8 | -0.2 | -0.7, 0.3 |”
Quote in the paperNot a substantial claim - Findingown data
After removing studies with fewer than 20 participants per group, body weight reduction was significantly greater on low-carbohydrate diets, with a pooled mean net change of -1.3 kg (95% CI: -2.5 to -0.1, n = 19 studies).
“after removing studies with fewer than 20 participants per group or studies among patients with breast cancer, polycystic ovarian syndrome, or coronary heart disease or who had undergone gastric bypass surgery, body weight reduction was significantly greater on low-carbohydrate diets, with pooled mean net changes in body weight of -1.3 kg (95% CI: -2.5 to -0.1, n = 19 studies) and -1.4 kg (95% CI:”
Quote in the paperSubstantial claim - Findingown data
After removing studies among patients with breast cancer, polycystic ovarian syndrome, coronary heart disease, or gastric bypass surgery, body weight reduction was significantly greater on low-carbohydrate diets, with a pooled mean net change of -1.4 kg (95% CI: -2.6 to -0.2, n = 18 studies).
“after removing studies with fewer than 20 participants per group or studies among patients with breast cancer, polycystic ovarian syndrome, or coronary heart disease or who had undergone gastric bypass surgery, body weight reduction was significantly greater on low-carbohydrate diets, with pooled mean net changes in body weight of -1.3 kg (95% CI: -2.5 to -0.1, n = 19 studies) and -1.4 kg (95% CI:”
Quote in the paperSubstantial claim - Findingown data
Among trials with healthy participants, the net change in HDL cholesterol for low-carbohydrate versus low-fat diets was 3.3 mg/dL (95% CI: 1.9, 4.8).
“| HDL, mg/dL | 19 | 3.3 | 1.9, 4.7 | 11 | 3.0 | 1.9, 4.1 | 18 | 3.4 | 1.9, 4.8 | 17 | 3.3 | 1.9, 4.8 |”
Quote in the paperNot a substantial claim - Findingown data
Among trials with healthy participants, the net change in weight for low-carbohydrate versus low-fat diets was -1.4 kg (95% CI: -2.6, -0.2).
“| Weight, kg | 22 | -1.0 | -2.2, 0.2 | 12 | -1.3 | -2.8, 0.2 | 19 | -1.3 | -2.5, -0.1 | 18 | -1.4 | -2.6, -0.2 |”
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Among trials with healthy participants, the net change in insulin for low-carbohydrate versus low-fat diets was -0.3 IU/mL (95% CI: -0.9, 0.7).
“| Insulin, IU/mL | 12 | -0.1 | -0.8, 0.6 | 8 | -0.1 | -1.0, 0.8 | 10 | -0.1 | -0.9, 0.7 | 10 | -0.3 | -0.9, 0.7 |”
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Among trials with healthy participants, the net change in diastolic blood pressure for low-carbohydrate versus low-fat diets was -0.8 mmHg (95% CI: -1.7, 0.2).
“| DBP, mmHg | 18 | -0.7 | -1.6, 0.2 | 10 | -1.1 | -2.4, 0.2 | 17 | -0.8 | -1.7, 0.2 | 17 | -0.8 | -1.7, 0.2 |”
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Among trials with healthy participants, the net change in LDL cholesterol for low-carbohydrate versus low-fat diets was 3.6 mg/dL (95% CI: 0.7, 6.4).
“| LDL, mg/dL | 19 | 3.7 | 1.0, 6.4 | 11 | 2.8 | 0.3, 5.3 | 18 | 3.7 | 1.0, 6.4 | 17 | 3.6 | 0.7, 6.4 |”
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Among trials with healthy participants, the net change in systolic blood pressure for low-carbohydrate versus low-fat diets was -1.6 mmHg (95% CI: -4.2, 1.0).
“| SBP, mmHg | 18 | -1.0 | -3.5, 1.5 | 10 | -0.1 | -2.5, 2.3 | 17 | -1.4 | -3.9, 1.2 | 17 | -1.6 | -4.2, 1.0 |”
Quote in the paperNot a substantial claim - Findingown data
Among trials with healthy participants, the net change in total cholesterol for low-carbohydrate versus low-fat diets was 2.7 mg/dL (95% CI: 0.6, 4.9).
“| TC, mg/dL | 15 | 2.7 | 0.8, 4.6 | 9 | 3.5 | 0.1, 6.9 | 14 | 3.3 | 1.0, 5.5 | 13 | 2.7 | 0.6, 4.9 |”
Quote in the paperNot a substantial claim - Findingown data
Among trials with healthy participants, the net change in the total cholesterol to HDL cholesterol ratio for low-carbohydrate versus low-fat diets was -0.1 (95% CI: -0.3, 0.1).
“| TC:HDL ratio | 5 | -0.1 | -0.3, 0.1 | 1 | -0.5 | -0.8, -0.1 | 5 | -0.1 | -0.3, 0.1 | 5 | -0.1 | -0.3, 0.1 |”
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Among trials with healthy participants, the net change in waist circumference for low-carbohydrate versus low-fat diets was -0.2 cm (95% CI: -0.7, 0.3).
“| WC, cm | 10 | -0.1 | -0.6, 0.4 | 8 | -0.3 | -1.0, 0.5 | 8 | -0.2 | -0.7, 0.3 | 8 | -0.2 | -0.7, 0.3 |”
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Among trials with healthy participants, the net change in glucose for low-carbohydrate versus low-fat diets was -0.4 mg/dL (95% CI: -2.1, 1.4).
“| Glucose, mg/dL | 14 | -0.3 | -1.9, 1.3 | 10 | -0.6 | -2.7, 1.4 | 13 | -0.4 | -2.1, 1.4 | 13 | -0.4 | -2.1, 1.4 |”
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Among trials with healthy participants, the net change in triglycerides for low-carbohydrate versus low-fat diets was -13.6 mg/dL (95% CI: -19.2, -8.0).
“| TG, mg/dL | 20 | -14.0 -19.4, -8.7 | 12 | -11.2 -16.9, -5.5 | 19 | -13.4 -18.7, -8.1 | 18 | -13.6 -19.2, -8.0 |”
Quote in the paperSubstantial claim - Interpretationown data
Publication bias may be responsible for the significant differences between diets in reductions of total and LDL cholesterol and increases in HDL cholesterol.
“Third, publication bias may be responsible for the significant differences in reductions of total and LDL cholesterol and increases in HDL cholesterol between diets.”
Quote in the paperSubstantial claim - Interpretationown data
Low-carbohydrate diets might provide an alternative approach for weight reduction without worsening metabolic risk factors.
“Our study suggests that low-carbohydrate diets might provide an alternative approach for weight reduction without worsening metabolic risk factors.”
Quote in the paperSubstantial claim
- May combine two claims. 20
- Classified as probably not a substantial claim. 11
- The quote only partly states this claim. 6
May combine two claims.
Findingown dataThe pooled mean net changes in diastolic blood pressure and serum insulin between low-carbohydrate and low-fat diets were not statistically significant.
“The pooled mean net changes in diastolic blood pressures and serum insulin were also not significant (data not shown).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFour studies were conducted in patients with diabetes, one in patients with prediabetes, and one in patients with coronary heart disease.
“However, 4 studies were conducted in patients with diabetes (23,26,28,29), 1 was conducted in patients with prediabetes (31), and 1 was conducted in patients with coronary heart disease (23).”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataAmong trials with at least 70% completion, the net change in triglycerides for low-carbohydrate versus low-fat diets was -11.2 mg/dL (95% CI: -16.9, -5.5).
“| TG, mg/dL | 20 | -14.0 -19.4, -8.7 | 12 | -11.2 -16.9, -5.5 | 19 | -13.4 -18.7, -8.1 | 18 | -13.6 -19.2, -8.0 |”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataAmong trials with at least 70% completion, the net change in diastolic blood pressure for low-carbohydrate versus low-fat diets was -1.1 mmHg (95% CI: -2.4, 0.2).
“| DBP, mmHg | 18 | -0.7 | -1.6, 0.2 | 10 | -1.1 | -2.4, 0.2 | 17 | -0.8 | -1.7, 0.2 | 17 | -0.8 | -1.7, 0.2 |”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn subgroup analysis, among younger participants, low-carbohydrate diets resulted in significantly greater reductions in systolic blood pressure (-2.7 mm Hg, 95% CI: -4.5 to -0.9), diastolic blood pressure (-1.5 mm Hg, 95% CI: -2.7 to -0.2), and serum insulin (-0.9 μIU/mL, 95% CI: -1.8 to -0.1) compared with older age groups, but these findings were not statistically significant after adjustment.
“In addition, in the younger age group, low-carbohydrate diets resulted in significantly greater reductions in systolic blood pressure (-2.7 mm Hg, 95% CI: -4.5 to -0.9), diastolic blood pressure (-1.5 mm Hg, -2.7 to -0.2), and serum insulin (-0.9 μIU/mL, -1.8 to -0.1) as compared with results in the older age groups.However, these findings were not statistically significant after adjustment for”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn this meta-analysis, both low-carbohydrate and low-fat diets reduced body weight and improved metabolic risk factors.
“Both low-carbohydrate and low-fat diets lowered weight and improved metabolic risk factors.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe pooled mean net change in systolic blood pressure between low-carbohydrate and low-fat diets was -1.0 mm Hg (95% CI: -3.5, 1.5) and was not statistically significant.
“Pooled mean net changes in systolic blood pressure (-1.0 mm Hg, 95% CI: -3.5, 1.5), ratio of total to HDL cholesterol (-0.1, 95% CI: -0.3, 0.1), and fasting blood glucose (-0.3 mg/dL, 95% CI: -1.9, 1.3) were not significantly different between the 2 diets.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataAmong trials with at least 70% completion, the net change in glucose for low-carbohydrate versus low-fat diets was -0.6 mg/dL (95% CI: -2.7, 1.4).
“| Glucose, mg/dL | 14 | -0.3 | -1.9, 1.3 | 10 | -0.6 | -2.7, 1.4 | 13 | -0.4 | -2.1, 1.4 | 13 | -0.4 | -2.1, 1.4 |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationAll included trials were parallel except for one trial that had a factorial design.
“All trials were parallel except for 1 trial that had a factorial design (13).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe pooled mean net change in fasting blood glucose between low-carbohydrate and low-fat diets was -0.3 mg/dL (95% CI: -1.9, 1.3) and was not statistically significant.
“Pooled mean net changes in systolic blood pressure (-1.0 mm Hg, 95% CI: -3.5, 1.5), ratio of total to HDL cholesterol (-0.1, 95% CI: -0.3, 0.1), and fasting blood glucose (-0.3 mg/dL, 95% CI: -1.9, 1.3) were not significantly different between the 2 diets.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe differences between low-carbohydrate and low-fat diets in total cholesterol, LDL cholesterol, HDL cholesterol, and triglycerides remained statistically significant after correction for multiple comparisons.
“These differences remained statistically significant after correction for multiple comparisons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe included trials had a total of 2,788 participants, with 1,392 on low-carbohydrate diets and 1,396 on low-fat diets.
“These studies included data from 2,788 trial participants (1,392 on low-carbohydrate diets and 1,396 on low-fat diets).”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataAmong trials with at least 70% completion, the net change in systolic blood pressure for low-carbohydrate versus low-fat diets was -0.1 mmHg (95% CI: -2.5, 2.3).
“| SBP, mmHg | 18 | -1.0 | -3.5, 1.5 | 10 | -0.1 | -2.5, 2.3 | 17 | -1.4 | -3.9, 1.2 | 17 | -1.6 | -4.2, 1.0 |”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe pooled mean net change in body weight between low-carbohydrate and low-fat diets was -1.0 kg (95% CI: -2.2, 0.2) and was not statistically significant.
“Pooled mean net changes and 95% confidence intervals representing differences between the diets in body weight (-1.0 kg, 95% confidence interval (CI): -2.2, 0.2) and waist circumference (-0.1 cm, 95% CI: -0.6, 0.4) reductions were not statistically significant.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe goal dietary nutritional composition varied across studies, with carbohydrate consumption ranging from 4% to 45% (weighted mean, 23%) of energy intake in the low-carbohydrate group and fat ranging from 10% to 30% (weighted mean, 26%) of energy intake in the low-fat group.
“The goal dietary nutritional composition varied across the studies, with carbohydrate consumption ranging from 4% to 45% (weighted mean, 23%) of energy intake in the low-carbohydrate group and fat ranging from 10% to 30% (weighted mean, 26%) of energy intake in the low-fat group.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe pooled mean net change in the ratio of total to HDL cholesterol between low-carbohydrate and low-fat diets was -0.1 (95% CI: -0.3, 0.1) and was not statistically significant.
“Pooled mean net changes in systolic blood pressure (-1.0 mm Hg, 95% CI: -3.5, 1.5), ratio of total to HDL cholesterol (-0.1, 95% CI: -0.3, 0.1), and fasting blood glucose (-0.3 mg/dL, 95% CI: -1.9, 1.3) were not significantly different between the 2 diets.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was no significant heterogeneity among trials in net changes in total cholesterol, triglycerides, waist circumference, fasting blood glucose, or serum insulin.
“There was no significant heterogeneity in the net changes in total cholesterol (I 2 = 0.2%, P = 0.45), triglycerides (I 2 = 55.6%,P = 0.07), waist circumference (I 2 = 12.5%, P = 0.33), fasting blood glucose (I 2 = 41.2%,P = 0.06), or serum insulin (I 2 = 7.8%, P = 0.29) among these trials.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataAmong trials with at least 70% completion, the net change in insulin for low-carbohydrate versus low-fat diets was -0.1 IU/mL (95% CI: -1.0, 0.8).
“| Insulin, IU/mL | 12 | -0.1 | -0.8, 0.6 | 8 | -0.1 | -1.0, 0.8 | 10 | -0.1 | -0.9, 0.7 | 10 | -0.3 | -0.9, 0.7 |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSelf-reported mean energy intake weighted by trial sample sizes was similar for both diets at approximately 2,000 kcal.
“Self-reported mean energy intake weighted by trial sample sizes was similar for both diets at approximately 2,000 kcal.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe pooled mean net change in waist circumference between low-carbohydrate and low-fat diets was -0.1 cm (95% CI: -0.6, 0.4) and was not statistically significant.
“Pooled mean net changes and 95% confidence intervals representing differences between the diets in body weight (-1.0 kg, 95% confidence interval (CI): -2.2, 0.2) and waist circumference (-0.1 cm, 95% CI: -0.6, 0.4) reductions were not statistically significant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataStudy duration ranged from 6 to 24 months, and 16 studies had an intervention duration of 12 months or longer.
“Study duration ranged from 6 to 24 months, and 16 studies had an intervention duration of 12 months or longer”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenDisagreement was resolved by consensus with additional investigators.
“Disagreement was resolved by consensus with additional investigators.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenTwo investigators independently reviewed all potentially relevant publications and made decisions on inclusion.
“Two investigators independently reviewed all potentially relevant publications and made decisions on inclusion.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe ratio of total to HDL cholesterol has been identified as a predictor of coronary heart disease.
“the reduction in ratio of total to HDL cholesterol, which has been identified as a predictor of coronary heart disease (35), was not significantly different between the 2 diets.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Gardner, 1996, Association of small low-density lipoprotein particles with the incidence of coronary artery disease in men and women, JAMA source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo investigators independently abstracted the data in duplicate using a standardized data collection form.
“Two investigators independently abstracted the data in duplicate using a standardized data collection form.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe meta-analysis had a sample size of 2,788, which provided power to detect statistically significant mean differences, assess publication bias, and conduct sensitivity and subgroup analyses.
“This meta-analysis had a sample size of 2,788, which provided the power to detect statistically significant mean differences, assess publication bias, and conduct sensitivity and subgroup analyses.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBoth low-carbohydrate and low-fat diets were equally effective at reducing body weight and waist circumference.
“In the present meta-analysis of randomized controlled trials comparing low-carbohydrate diets with low-fat diets, we found that both diets were equally effective at reducing body weight and waist circumference.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataBaseline levels of body weight and metabolic risk factors were similar between the two diets in each study but varied among studies.
“Baseline levels of body weight and metabolic risk factors were similar between the 2 diets in each study but varied among studies.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataLosses to follow-up were substantial, especially in some trials, and almost half of the included studies had completion rates less than 70%.
“First, losses to follow-up were substantial, especially in some trials (8,22,29).Almost half of the studies included in our meta-analysis had completion rates less than 70%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningTrial participants were usually not blinded to their assignment because of the nature of the dietary intervention.
“Trial participants were usually not blinded to their assignment because of the nature of the intervention-most interventions provided dietary instruction, leaving food buying and/ or preparation to the participants.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataLow-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors.
“These findings suggest that low-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenData abstraction was conducted in duplicate by independent investigators.
“Data abstraction was conducted in duplicate by independent investigators.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductnone givenThe meta-analysis was conducted following a stringent protocol.
“We conducted this meta-analysis following a stringent protocol.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataLow-carbohydrate diets are at least as effective as low-fat diets for weight loss, regardless of gender, age, length of intervention, diabetes status, and level of carbohydrate restriction.
“Our findings suggest that low-carbohydrate diets are at least as effective as low-fat diets for weight loss, regardless of gender, age, length of intervention, diabetes status, and level of carbohydrate restriction.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Many clinical trials of low-carbohydrate diets have small sample sizes and insufficient statistical power to detect small changes in metabolic risk factors that may have public health importance.
“Many clinical trials of lowcarbohydrate diets have small sample sizes and insufficient statistical power to detect small changes in metabolic risk factors that may have public health importance.”
The paper relies on this without support.
Low-carbohydrate diets may include significant amounts of fat and cholesterol, which have been associated with elevated LDL cholesterol levels, raising concern about adverse effects on metabolic risk factors.
“Because lowcarbohydrate diets may include significant amounts of fat and cholesterol, which have been associated with elevated low density lipoprotein (LDL) cholesterol levels, there is concern about their adverse effects on metabolic risk factors.”
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?
Previous meta-analyses have included studies with CHO ranging from 20 g/d up to 40-45% at the beginning of the intervention.
“Previous meta-analyses have included studies with CHO ranging from 20 g/d upto 40 -45 % at the beginning of the intervention (15,21)”
From Effects of low-carbohydrate diets<i>v</i>. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials (2016) · cites this paper as [21]
A recent meta-analysis showed that both low-fat and low-carbohydrate diets reduced LDL cholesterol levels, although the reduction was less for persons assigned to low-carbohydrate diets.
“In contrast, a recent meta-analysis showed that both low-fat and low-carbohydrate diets reduced LDL cholesterol levels, although the reduction was less for persons assigned to low-carbohydrate diets (25).”
From Effects of Low-Carbohydrate and Low-Fat Diets: A Randomized Trial (2014) · cites this paper as [25]
Our results with regard to body weight are consistent with other trials and a recent meta-analysis.
“Our results with regard to body weight are consistent with those of other trials (23, 24) and a recent meta-analysis (25).”
From Effects of Low-Carbohydrate and Low-Fat Diets: A Randomized Trial (2014) · cites this paper as [25]
The decreases in HDL cholesterol and triglyceride levels observed were within the range reported in previous weight-loss studies.
“The decreases in HDL cholesterol and triglyceride levels that we observed were within the range reported in previous weight-loss studies (25).”
From Effects of Low-Carbohydrate and Low-Fat Diets: A Randomized Trial (2014) · cites this paper as [25]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Insulin estimate is not centered in its confidence interval
MinorFor the healthy-participant sensitivity analysis, the reported insulin net change is −0.3, whereas the midpoint of its stated 95% confidence interval is −0.1. That difference exceeds rounding to one decimal place for the symmetric confidence intervals described in the methods.
Reported -0.3 · recomputed -0.1
“| Insulin, IU/mL | 12 | -0.1 | -0.8, 0.6 | 8 | -0.1 | -1.0, 0.8 | 10 | -0.1 | -0.9, 0.7 | 10 | -0.3 | -0.9, 0.7 |”
Duration subgroup changes from at least to more than one year
MinorThe methods define the longer-duration subgroup as interventions lasting at least 12 months, which includes exactly one year. The results describe that subgroup as lasting more than one year, which excludes those trials.
“longer (≥12 months intervention) versus shorter (<12 months) study duration”
“participants who were on low-carbohydrate diets for more than 1 year (-0.9 kg, 95% CI: -1.6, -0.3)”
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Available Carbohydrates, Glycemic Load, and Pancreatic Cancer: Is There a Link?
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Energy balance and obesity: what are the main drivers?
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“[61] compared the effects of low-fat (≤30% energy) vs.”
BackgroundDietary Strategies for Metabolic Syndrome: A Comprehensive Review
Castro‐Barquero, S., Ruiz-León, A. M., Sierra-Pérez, M., Estruch, R., & Casas, R. M. (2020) · Nutrients · doi:10.3390/nu12102983 · Cited by 514 · see citing works
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Metabolic Inflexibility: When Mitochondrial Indecision Leads to Metabolic Gridlock
Muoio, D. M. (2014) · Cell · doi:10.1016/j.cell.2014.11.034 · Cited by 438 · see citing works
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Bazzano, L. A., Hu, T., Reynolds, K., Yao, L., Bunol, C., Liu, Y., Chen, C.-S., Klag, M. J., Whelton, P. K., & He, J. (2014) · Annals of Internal Medicine · doi:10.7326/m14-0180 · Cited by 346 · see citing works
“The decreases in HDL cholesterol and triglyceride levels that we observed were within the range reported in previous weight-loss studies (25).”
ResultSelf-citationInternational society of sports nutrition position stand: diets and body composition
Aragon, A. A., Schoenfeld, B. J., Wildman, R., Kleiner, S., VanDusseldorp, T., Taylor, L., Earnest, C. P., Arciero, P. J., Wilborn, C., Kalman, D. S., et al. (2017) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-017-0174-y · Cited by 301 · see citing works
Can We Say What Diet Is Best for Health?
Katz, D. L., & Meller, S. (2014) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032013-182351 · Cited by 378 · see citing works
“When food choices are judicious in both contexts, the superiority of fat-restricted versus carbohydraterestricted eating for weight loss and health is not reliably established (48, 63, 98).”
BackgroundOverweight and diabetes prevention: Is a low-carbohydrate-high-fat diet recommendable?
Brouns, F. (2018) · European Journal of Nutrition · doi:10.1007/s00394-018-1636-y · Cited by 235 · see citing works
Sackner-Bernstein, J., Kanter, D., & Kaul, S. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139817 · Cited by 220 · see citing works
“2).[39] Two potential reasons could account for the differences in the estimated magnitude of the weight loss achieved in that study compared with our report.”
ResultSchwingshackl, L., & Hoffmann, G. (2013) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2013.07.010 · Cited by 218 · see citing works
Neth, B., Mintz, A., Whitlow, C. T., Jung, Y., Sai, K., Register, T., Kellar, D., Lockhart, S., Hoscheidt, S., Maldjian, J., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.015 · Cited by 191 · see citing works
“These findings support metabolic data from other studies of dietary ketosis showing improvement in lipid profile and insulin sensitivity secondary to KD (Hu et al., 2012; Yancy et al., 2004).”
ResultChawla, S., Tessarolo Silva, F., Amaral Medeiros, S., Mekary, R., & Radenkovic, D. (2020) · Nutrients · doi:10.3390/nu12123774 · Cited by 185 · see citing works
“with 23 articles and 2788 participants [63].”
Schwingshackl, L., & Hoffmann, G. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-48 · Cited by 184 · see citing works
“Two meta-analyses provide evidence that higher fat intake was associated with higher levels of HDL-C when compared to low-fat diets [38,39].”
BackgroundMediterranean diet in the management and prevention of obesity
Dominguez, L. J., Veronese, N., Bella, G. D., Cusumano, C., Parisi, A., Tagliaferri, F., Ciriminna, S., & Barbagallo, M. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112121 · Cited by 192 · see citing works
Evidence that supports the prescription of low-carbohydrate high-fat diets: A narrative review
Noakes, T. D., & Windt, J. (2017) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-096491 · Cited by 178 · see citing works
Carbohydrate intake and nonalcoholic fatty liver disease: fructose as a weapon of mass destruction.
Başaranoğlu, M., Başaranoğlu, M., & Bugianesi, E. (2015) · PubMed Central · doi:10.3978/j.issn.2304-3881.2014.11.05 · Cited by 171 · see citing works
“A meta-analysis investigated the long-term (6 or more months) effects of low-carbohydrate diets (≤45% of energy from carbohydrates) versus low-fat diets (≤30% of energy from fat) on metabolic risk factors by randomized controlled trials (48).”
BackgroundDinu, M., Pagliai, G., Angelino, D., Rosi, A., Dall'Asta, M., Bresciani, L., Ferraris, C., Guglielmetti, M., Godos, J., Del Bo', C., et al. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa006 · Cited by 164 · see citing works
Mediterranean diet as the diet of choice for patients with chronic kidney disease
Chauveau, P., Aparicio, M., Bellizzi, V., Campbell, K., Hong, X., Johansson, L., Kolko, A., Molina, P., Sezer, S., Wanner, C., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfx085 · Cited by 165 · see citing works
Dietary fats and cardiometabolic disease: mechanisms and effects on risk factors and outcomes
Wu, J. H. Y., Micha, R., & Mozaffarian, D. (2019) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0206-1 · Cited by 167 · see citing works
Juanola‐Falgarona, M., Salas‐Salvadó, J., Ibarrola-Jurado, N., Rabassa, A., Díaz‐López, A., Guasch‐Ferré, M., Hernández‐Alonso, P., Balanza, R., & Bulló, M. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.081216 · Cited by 160 · see citing works
Effects of total fat intake on body weight
Hooper, L., Abdelhamid, A. S., Bunn, D. K., Brown, T. J., Summerbell, C. D., & Skeaff, C. M. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011834 · Cited by 159 · see citing works
Ullah, R., Rauf, N., Nabi, G., Ullah, H., Shen, Y., Zhou, Y., & Fu, J. (2019) · International Journal of Biological Sciences · doi:10.7150/ijbs.30121 · Cited by 157 · see citing works
“Paradoxically, consumption of a low carbohydrate diet over a long period stimulates NAFLD pathogenesis and glucose intolerance in an animal model [40] and increases total and low density lipoproteins (LDL) cholesterol in humans [43].”
BackgroundKoliaki, C., Spinos, T., Spinou, Μ., Brinia, Μ.-E., Mitsopoulou, D., & Katsilambros, N. (2018) · Healthcare · doi:10.3390/healthcare6030073 · Cited by 146 · see citing works
“On the other hand, other meta-analyses have shown that low-carbohydrate diets confer equal weight loss short-term as isoenergetic balanced [60] or low-fat diets [61].”
BackgroundUltraprocessed Food: Addictive, Toxic, and Ready for Regulation
Lustig, R. H. (2020) · Nutrients · doi:10.3390/nu12113401 · Cited by 140 · see citing works
“However, these rewarding properties of fat appear to be strictly dependent on simultaneous ingestion of carbohydrate, as low-carbohydrate high-fat (LCHF) [65] and ketogenic diets [66] consistently result in reduced caloric intake, significant weight loss, and resolution of metabolic syndrome.”
BackgroundThe Role of Diet and Nutritional Intervention for the Management of Patients with NAFLD
Francisco Barrera, M., & George, J. (2013) · Clinics in Liver Disease · doi:10.1016/j.cld.2013.09.009 · Cited by 136 · see citing works
Dietary and policy priorities to reduce the global crises of obesity and diabetes
Mozaffarian, D. (2020) · Nature Food · doi:10.1038/s43016-019-0013-1 · Cited by 133 · see citing works
Paradoxical Effects of Fruit on Obesity
Sharma, S. P., Chung, H., Kim, H., & Hong, S. (2016) · Nutrients · doi:10.3390/nu8100633 · Cited by 124 · see citing works
“In addition to the individual-base, population- or community-level intervention for obesity has been pursued by modifying behavioral factors like increasing physical activities, reduction in sedentary lifestyle, healthy diet, and so forth [10–12].”
BackgroundWeight loss and serum lipids in overweight and obese adults: A systematic review and meta-analysis
Hasan, B., Nayfeh, T., Alzuabi, M., Wang, Z., Kuchkuntla, A. R., Prokop, L. J., Newman, C. B., Murad, M. H., & Rajjo, T. I. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa673 · Cited by 126 · see citing works
Is there an optimal diet for weight management and metabolic health?
Thom, G., & Lean, M. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.01.056 · Cited by 119 · see citing works
“Similar results have been reported elsewhere (43).”
Low-carbohydrate diets for overweight and obesity: A systematic review of the systematic reviews
Churuangsuk, C., Kherouf, M., Combet, E., & Lean, M. (2018) · Obesity Reviews · doi:10.1111/obr.12744 · Cited by 118 · see citing works
“Hu 2012 (28) Adults with overweight/obesity as defined by trials authors ≤45% of energy from CHO ≤30% of energy from fat At least 6 months Bueno 2013 (25) Mean BMI > 27.”
BackgroundMethodThe effects of low-carbohydrate diets on cardiovascular risk factors: A meta-analysis
Dong, T., Guo, M., Zhang, P., Sun, G., & Chen, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0225348 · Cited by 113 · see citing works
“A study by Lu et al[28] study showed an increase in LDL-C of 0.”
Impact of low‐carbohydrate diet on body composition: meta‐analysis of randomized controlled studies
Hashimoto, Y., Fukuda, T., Oyabu, C., Tanaka, M., Asano, M., Yamazaki, M., & Fukui, M. (2016) · Obesity Reviews · doi:10.1111/obr.12405 · Cited by 112 · see citing works
Gómez-Delgado, F., Katsiki, N., López‐Miranda, J., & Pérez‐Martínez, P. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1764487 · Cited by 109 · see citing works
“In 2012, a meta-analysis of RCTs (Hu et al. 2012) showed a reduction in TC, LDL-C, a greater increase HDL-C and a greater decrease TG concentrations.”
BackgroundInfluentialGjuladin-Hellon, T., Davies, I. G., Penson, P., & Amiri Baghbadorani, R. (2019) · Nutrition Reviews · doi:10.1093/nutrit/nuy049 · Cited by 108 · see citing works
A critical review of low‐carbohydrate diets in people with Type 2 diabetes
van Wyk, H. J., Davis, R. E., & Davies, J. S. (2016) · Diabetic Medicine · doi:10.1111/dme.12964 · Cited by 105 · see citing works
Dietary Fatty Acids Sustain the Growth of the Human Gut Microbiota
Agans, R., Gordon, A., Kramer, D. L., Pérez-Burillo, S., Rufián‐Henares, J. Á., & Paliy, O. (2018) · Applied and Environmental Microbiology · doi:10.1128/aem.01525-18 · Cited by 102 · see citing works
“diets are a subject of many studies and debates (41).”
BackgroundA Call for an End to the Diet Debates
Pagoto, S., & Appelhans, B. M. (2013) · JAMA · doi:10.1001/jama.2013.8601 · Cited by 100 · see citing works
de Luis, D. A., Izaola, O., Aller, R., de la Fuente, B., Bachiller, R., & Romero, E. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.06.002 · Cited by 99 · see citing works
Retterstøl, K., Svendsen, M., Narverud, I., & Holven, K. B. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.10.013 · Cited by 97 · see citing works
Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies
Appelhans, B. M., French, S. A., Pagoto, S., & Sherwood, N. E. (2015) · Appetite · doi:10.1016/j.appet.2015.09.035 · Cited by 99 · see citing works
“…Kim, King, & Gardner, 2008; Dansinger, Gleason, Griffith, Selker, & Schaefer, 2005; Fitzpatrick et al., 2014; Heymsfield et al., 2007), and are not meaningfully affected by the type of diet one follows (Ajala, English, & Pinkney, 2013; Hu et al., 2012; Wycherley, Moran, Clifton, Appetite.”
Wolfram, G., Bechthold, A., Boeing, H., Ellinger, S., Hauner, H., Kroke, A., Leschik-Bonnet, E., Linseisen, J., Lorkowski, S., Schulze, M., et al. (2015) · Annals of Nutrition and Metabolism · doi:10.1159/000437243 · Cited by 94 · see citing works
Personalized weight loss strategies—the role of macronutrient distribution
Martínez, J. A., Navas‐Carretero, S., Saris, W. H. M., & Astrup, A. V. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.175 · Cited by 93 · see citing works
Best Practices in the Management of Overweight and Obesity
Tchang, B. G., Saunders, K. H., & Igel, L. I. (2020) · Medical Clinics of North America · doi:10.1016/j.mcna.2020.08.018 · Cited by 92 · see citing works
Löffler, M. C., Betz, M. J., Blondin, D. P., Augustin, R., Sharma, A. K., Tseng, Y., Scheele, C. C., Zimdahl, H., Mark, M., Hennige, A. M., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101237 · Cited by 88 · see citing works
“Low-carbohydrate diets can therefore increase TEE [19,20], but the initially beneficial effects on the body’s weight and composition appear to be relatively minor due to the longterm weight regain caused by rapid physiological adaptations [21,22].”
BackgroundDiet Behavior Change Techniques in Type 2 Diabetes: A Systematic Review and Meta-analysis
Cradock, K. A., OLaighin, G. M., Finucane, F. M., McKay, R. C., Quinlan, L. R., Ginis, K. A. M., & Gainforth, H. L. (2017) · Diabetes Care · doi:10.2337/dc17-0462 · Cited by 87 · see citing works
“Low fat diets were classified as studies where dietary fat intake of <30% was recommended (10).”
BackgroundEthnicity and Metabolic Syndrome: Implications for Assessment, Management and Prevention
Lear, S. A., & Gašević, D. (2019) · Nutrients · doi:10.3390/nu12010015 · Cited by 87 · see citing works
“However, not all studies are in agreement and a meta-analysis of 23 randomised trials reported no difference in cardiometabolic risk factors between low-carbohydrate and low-fat diets [56].”
ResultLuna-Castillo, K. P., Olivares-Ochoa, X. C., Hernández-Ruíz, R. G., Llamas-Covarrubias, I. M., Rodríguez-Reyes, S. C., Betancourt‐Núñez, A., Vizmanos-Lamotte, B., Martínez‐López, E., Muñóz-Valle, J. F., Márquez‐Sandoval, F., et al. (2022) · Nutrients · doi:10.3390/nu14051104 · Cited by 89 · see citing works
“Randomized clinical trials (RCT) have shown that adjustment of fat, carbohydrate and protein percentages, relative to total energy, as well as reduction of total energy intake, can reduce TG levels; however, the success of dietary intervention depends on factors such as the source of the fat or carbohydrate, as well a…”
BackgroundSartorius, K., Sartorius, B. K. D., Madiba, T. E., & Stefan, C. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-018449 · Cited by 82 · see citing works
“IntrOduCtIOn Global estimates in 2005 indicated 937 million people were overweight and 328 million were obese.(1) In 2010, an estimated 3.”
BackgroundNakamura, Y., Okuda, N., Okamura, T., Kadota, A., Miyagawa, N., Hayakawa, T., Kita, Y., Fujiyoshi, A., Nagai, M., Takashima, N., et al. (2014) · British Journal Of Nutrition · doi:10.1017/s0007114514001627 · Cited by 79 · see citing works
McGrice, M. A., & Porter, J. A. (2017) · Nutrients · doi:10.3390/nu9030204 · Cited by 76 · see citing works
“Low carbohydrate diets are those where less than 45% of macronutrients come from carbohydrates with or without an energy deficit [11].”
BackgroundLucan, S. C., & DiNicolantonio, J. J. (2014) · Public Health Nutrition · doi:10.1017/s1368980014002559 · Cited by 73 · see citing works
Thorning, T. K., Raziani, F., Bendsen, N. T., Astrup, A. V., Tholstrup, T., & Raben, A. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.109116 · Cited by 72 · see citing works
Markovic, T., Proietto, J., Dixon, J. B., Rigas, G., Deed, G., Hamdorf, J. M., Bessell, E., Kizirian, N. V., Andrikopoulos, S., & Colagiuri, S. (2022) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2022.08.003 · Cited by 71 · see citing works
Low Carbohydrate and Low-Fat Diets: What We Don’t Know and Why We Should Know It
Seid, H., & Rosenbaum, M. (2019) · Nutrients · doi:10.3390/nu11112749 · Cited by 71 · see citing works
Shift workers have a similar diet quality but higher energy intake than day workers
Hulsegge, G., Boer, J. M. A., van der Beek, A. J., Verschuren, W. M. M., Sluijs, I., Vermeulen, R. C. H., & Proper, K. I. (2016) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.3593 · Cited by 70 · see citing works
“In addition, a higher energy intake (ie, quantity of food) has also been associated with body weight gain and other metabolic disturbances (20, 28).”
BackgroundLow-Carbohydrate-High-Fat Diet: Can it Help Exercise Performance?
Chang, C., Borer, K. T., & Lin, P. (2017) · Journal of Human Kinetics · doi:10.1515/hukin-2017-0025 · Cited by 68 · see citing works
“…for obesity, cardiovascular disease, and diabetes, several meta-analysis and systematic reviews document that long-term LCHF diets actually reduce these metabolic risk factors (Bueno et al., 2013; Frape et al., 1997; Hession et al., 2009; Hu et al., 2012; Sharman et al., 2004; Volek et al., 2004).”
BackgroundWan, Y., Wang, F., Yuan, J., Li, J., Jiang, D., Zhang, J., Huang, T., Zheng, J., Mann, J. I., & Li, D. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.06.017 · Cited by 68 · see citing works
“The rise in popularity of low carbohydrate diets, especially in the United States and other Western countries is based on studies which have reported higher levels of insulin and triglyceride and lower levels of HDL cholesterol for high carbohydrate diets when compared with lower carbohydrate, higher fat diets (Hu et…”
BackgroundTahreem, A., Rakha, A., Rabail, R., Nazir, A., Socol, C. T., Maerescu, C. M., & Aadil, R. M. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.960922 · Cited by 68 · see citing works
“(22) compared LCD and LFD and concluded that both diets were efficient at reducing waist circumference, body weight, total cholesterol (TC), total to HDL-c ratio, LDL-c, TG, blood glucose, serum insulin, and blood pressure.”
BackgroundDietary Management of Obesity: A Review of the Evidence
Hwalla, N., & Jaafar, Z. (2020) · Diagnostics · doi:10.3390/diagnostics11010024 · Cited by 66 · see citing works
Willems, A. E. M., Jong, M. S., van Beek, A. P., Nederhof, E., & van Dijk, G. (2020) · Nutrition Reviews · doi:10.1093/nutrit/nuaa044 · Cited by 66 · see citing works
“14 However, differential dietary benefits on weight loss and markers of MetS in persons with obesity without a cardiometabolic diagnosis (eg, type 2 diabetes, myocardial infarction, stroke) are less consistent and, therefore, it is difficult to determine whether an LC diet can prevent or reverse…”
Veum, V. L., Laupsa‐Borge, J., Eng, Ø., Rostrup, E., Larsen, T. H., Nordrehaug, J. E., Nygard, O. K., Sagen, J. V., Gudbrandsen, O. A., Dankel, S. N., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.123463 · Cited by 69 · see citing works
Aljuraiban, G. S., Gibson, R., Chan, D. S. M., Horn, L. V., & Chan, Q. M. (2023) · Advances in Nutrition · doi:10.1016/j.advnut.2023.09.011 · Cited by 70 · see citing works
Ketogenic Diet: A Review of Composition Diversity, Mechanism of Action and Clinical Application
Malinowska, D., & Żendzian‐Piotrowska, M. (2024) · Journal of Nutrition and Metabolism · doi:10.1155/2024/6666171 · Cited by 68 · see citing works
Hu, T., Yao, L., Reynolds, K., Whelton, P., Niu, T., Li, S.-X., He, J., & Bazzano, L. (2015) · Nutrients · doi:10.3390/nu7095377 · Cited by 63 · see citing works
“The greater increases in HDL concentrations on a low-carbohydrate diet, as compared with a low-fat diet [18], may contribute to the differences in changes in ICAM-1 concentrations between the two diets.”
BackgroundSelf-citationMaslova, E., Halldorsson, T. I., Astrup, A. V., & Olsen, S. F. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-005839 · Cited by 63 · see citing works
Wang, K.-W., Xiao, B., Li, B.-H., Liu, Y.-Y., Wei, Z.-Y., Rao, J.-H., & Chen, J. (2019) · Lipids in Health and Disease · doi:10.1186/s12944-018-0950-y · Cited by 62 · see citing works
Alternative Dietary Patterns for Americans: Low-Carbohydrate Diets
Volek, J. S., Phinney, S. D., Krauss, R. M., Johnson, R. J., Saslow, L. R., Gower, B., Yancy, W. S., King, J. C., Hecht, F. M., Teicholz, N., et al. (2021) · Nutrients · doi:10.3390/nu13103299 · Cited by 57 · see citing works
“Consistent with the idea that a relative intolerance to carbohydrate is a common underlying feature of metabolic syndrome, clinical trials have shown that reductions in dietary carbohydrate, even without significant weight loss [31,32], result in improvements in the vast majority of cardiovascular and metabolic risk f…”
BackgroundSelf-citationEfficacy of different dietary patterns on lowering of blood pressure level: an umbrella review.
Sukhato, K., Akksilp, K., Dellow, A., Vathesatogkit, P., & Anothaisintawee, T. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa252 · Cited by 38 · see citing works
Nutrition and Physical Activity in Nonalcoholic Fatty Liver Disease
de Oliveira, C. P. M. S., Sanches, P. D. L., de Abreu-Silva, E. O., & Marcadenti, A. (2015) · Journal of Diabetes Research · doi:10.1155/2016/4597246 · Cited by 60 · see citing works
“A meta-analysis evaluated solely randomized trials comparing low-carb and low-fat (≤25% lipids/day) diets in 2,800 persons; it demonstrated a significant reduction of triglycerides and increase of HDLwith the low-carb diet [36].”
BackgroundMethodEffects of a Low-Carbohydrate Dietary Intervention on Hemoglobin A1c
DORANS, K. S., Bazzano, L., Qi, L., He, H., Chen, J., Appel, L. J., Chen, C.-S., Hsieh, M.-H., Hu, F. B., Mills, K. T., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.38645 · Cited by 58 · see citing works
“Added sugars, median (IQR), g 64 (28-80) 43 (24-80) 9 (4-18) 40 (23-59) 11 (5-31) 45 (22-66) Sugar-sweetened beverages, median (IQR), servings 0.”
Self-citationLamont, B. J., Waters, M. F., & Andrikopoulos, S. (2016) · Nutrition and Diabetes · doi:10.1038/nutd.2016.2 · Cited by 57 · see citing works
Joris, P. J., Zeegers, M. P., & Mensink, R. P. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.12.056 · Cited by 56 · see citing works
Harvey, C., Schofield, G., Zinn, C., Thornley, S., Crofts, C., & Merien, F. (2019) · PeerJ · doi:10.7717/peerj.6273 · Cited by 49 · see citing works
“, 2007), or up to 40–45% of daily energy from carbohydrate (Hu et al., 2012; Wheeler et al., 2012).”
BackgroundKetogenic Diet: an Endocrinologist Perspective
Kuchkuntla, A. R., Shah, M., Velapati, S. R., Gershuni, V. M., Rajjo, T. I., Nanda, S., Hurt, R. T., & Mundi, M. S. (2019) · Current Nutrition Reports · doi:10.1007/s13668-019-00297-x · Cited by 51 · see citing works
The effects of a low-carbohydrate diet on appetite: A randomized controlled trial
Hu, T., Yao, L., Reynolds, K., Niu, T., Li, S., Whelton, P., He, J., & Bazzano, L. (2016) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2015.11.011 · Cited by 49 · see citing works
“Low-carbohydrate diets have been effective for weight loss and weight management[10-14].”
Self-citationNamazi, N., Larijani, B. A., & Azadbakht, L. (2017) · Hormone and Metabolic Research · doi:10.1055/s-0043-112347 · Cited by 51 · see citing works
“Substituting a considerable percentage of carbohydrates with protein and fat sources plays a focal role in changing the metabolic parameters [29].”
BackgroundOh, R., Gilani, B., & Uppaluri, K. R. (2019) · StatPearls · Cited by 50 · see citing works
One size does not fit all; practical, personal tailoring of the diet to <scp>NAFLD</scp> patients
Zelber‐Sagi, S., Grinshpan, L. S., Ivancovsky‐Wajcman, D., Goldenshluger, A., & Gepner, Y. (2022) · Liver International · doi:10.1111/liv.15335 · Cited by 49 · see citing works
Kalam, F., Gabel, K., Cienfuegos, S., Wiseman, E., Ezpeleta, M., Steward, M., Pavlou, V., & Varady, K. A. (2019) · Obesity Science & Practice · doi:10.1002/osp4.367 · Cited by 46 · see citing works
“In contrast, low‐carb diets generally have little effect on circulating insulin levels.(28) Thus, it is possible that the reductions in insulin observed here were primarily mediated by ADF rather than carbohydrate restriction.”
BackgroundArciero, P. J., Arciero, K. M., Poe, M., Mohr, A. E., Ives, S. J., Arciero, A., Boyce, M. K., Zhang, J., Haas, M., Valdez, E., et al. (2022) · Nutrition Journal · doi:10.1186/s12937-022-00790-0 · Cited by 48 · see citing works
“Finally, it must be noted that our intervention included a low carbohydrate/sugar intake which generally does not impact plasma insulin concentrations [26], and that reduction in insulin levels may not occur during short-term interventions [27].”
BackgroundOyabu, C., Hashimoto, Y., Fukuda, T., Tanaka, M., Asano, M., Yamazaki, M., & Fukui, M. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002178 · Cited by 48 · see citing works
“For this meta-analysis, trials were required to use a randomisedcontrolled design comparing the effects of LCD diet, defined as allowing a maximum intake of 45% of energy from carbohydrates, with control diet((20)).”
MethodJoo, M., Moon, S., Lee, Y. S., & Kim, M. G. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad017 · Cited by 47 · see citing works
Yoshizaki, T., Komatsu, T., Tada, Y., Hida, A., Kawano, Y., & Togo, F. (2018) · Chronobiology International · doi:10.1080/07420528.2017.1410169 · Cited by 47 · see citing works
“There is available data supporting the close associations of habitual dietary intake/quality with the risk of developing lifestyle-related diseases (Bo et al. 2014; Horikawa et al. 2011; Hu et al. 2012; Purslow et al. 2008; Smith et al. 2010; StOnge et al. 2017).”
BackgroundEffects of total fat intake on bodyweight in children
Naude, C. E., Visser, M. E., Nguyen, K. A., Durão, S., & Schoonees, A. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012960.pub2 · Cited by 48 · see citing works
“…bibliographies of all identified systematic reviews for further trials and cohort studies, including Ajala 2013; Aljadani 2013; Aljadani 2015; Ambrosini 2014; Benatar 2013; Chaput 2014; Gow 2014; Havranek 2011; Hu 2012; Kratz 2013; Ni 2010; Schwingshackl 2013a; Schwingshackl 2013b; and Yang 2013.”
BackgroundChoi, H.-R., Kim, J., Hyo-Jung, L., & Park, Y. K. (2018) · Nutrients · doi:10.3390/nu10121895 · Cited by 47 · see citing works
“[18] reported significant decreases in total cholesterol, triglycerides, and LDL cholesterol but a notable increase in HDL cholesterol.”
BackgroundLow-carbohydrate and high-fat intake can manage obesity and associated conditions: Occasional survey
Noakes, T. D. (2013) · South African Medical Journal · doi:10.7196/samj.7302 · Cited by 48 · see citing works
Matarese, L. E., & Pories, W. J. (2014) · Nutrition in Clinical Practice · doi:10.1177/0884533614550251 · Cited by 46 · see citing works
Diabetes with obesity—Is there an ideal diet?
Sandouk, Z., & Lansang, M. C. (2017) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.84.s1.02 · Cited by 45 · see citing works
Non‐pharmacological interventions in non‐alcoholic fatty liver disease patients
Ratziu, V. (2017) · Liver International · doi:10.1111/liv.13311 · Cited by 44 · see citing works
Ahmed, S. R., Bellamkonda, S., Zilbermint, M. F., Wang, J., & Kalyani, R. R. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000980 · Cited by 44 · see citing works
Soto-Mota, A., Flores-Jurado, Y., Norwitz, N. G., Feldman, D., Pereira, M. A., Danaei, G., & Ludwig, D. S. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.01.009 · Cited by 43 · see citing works
Carbone, F., Després, J., Ioannidis, J. P. A., Neeland, I. J., Garruti, G., Busetto, L., Liberale, L., Ministrini, S., Vilahur, G., Schindler, T. H., et al. (2025) · European Journal of Clinical Investigation · doi:10.1111/eci.70059 · Cited by 45 · see citing works
Grasgruber, P., Sebera, M., Hrazdíra, E., Hřebíčková, S., & Cacek, J. (2016) · Food & Nutrition Research · doi:10.3402/fnr.v60.31694 · Cited by 41 · see citing works
“Furthermore, multiple clinical trials have demonstrated that when compared with low-carbohydrate diets, a low-fat diet increases plasma triglyceride levels and decreases total cholesterol and HDL-cholesterol, which generally indicates a higher CVD risk (36, 37).”
Low carbohydrate diet is associated with reduced risk of metabolic syndrome in Tehranian adults
Mirmiran, P., Asghari, G., Farhadnejad, H., Eslamian, G., Hosseini‐Esfahani, F., & Azizi, F. (2016) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2016.1242119 · Cited by 41 · see citing works
“Few studies, mostly with cross-sectional design, have investigated the relation of low carbohydrate diet (LCD) and MetS or its component; findings on this topic are yet controversial (Ainsworth et al. 2000; Yang et al. 2003; Silva et al. 2011; Choi et al. 2012; Hu et al. 2012; Shirani et al. 2015).”
BackgroundDietary Composition and Cardiovascular Risk: A Mediator or a Bystander?
Korakas, E., Dimitriadis, G., Raptis, A. E., & Lambadiari, V. (2018) · Nutrients · doi:10.3390/nu10121912 · Cited by 42 · see citing works
“, also documented higher decrease of TC and LDL-C in the LFHC groups [50].”
BackgroundMinistrini, S., Calzini, L., Migliola, E. N., Ricci, M. A., Roscini, A. R., Siepi, D., Tozzi, G., Daviddi, G., Martorelli, E. E., Paganelli, M. T., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8050621 · Cited by 41 · see citing works
Low-carbohydrate-diet score and metabolic syndrome: An epidemiologic study among Iranian women
Shirani, F., Esmaillzadeh, A., Keshteli, A. H., Adibi, P., & Azadbakht, L. (2015) · Nutrition · doi:10.1016/j.nut.2015.04.013 · Cited by 41 · see citing works
- Authors
- Hu, T., Mills, K. T., Yao, L., Demanelis, K., Eloustaz, M., Yancy, W. S., Kelly, T. N., He, J., & Bazzano, L. A.
- Affiliations
- Tulane University (US)
- Corresponding author
- Bazzano, Lydia A.
- ORCID
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-01
- Volume
- 176
- Issue
- suppl_7
- Pages
- S44-S54
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- PMC
- PMC3530364
- OpenAlex
- W2135997989
- Semantic Scholar
- 471641c6f74cd8ae96d1ba087339e5d2efad13ce
- Cited by
- 417
- References
- 51
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 16 · 2023: 24 · 2022: 34 · 2021: 32 · 2020: 37 · 2019: 37 · 2018: 37 · 2017: 28 · 2016: 41 · 2015: 55 · 2014: 27 · 2013: 20
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Epidemiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Tulane University
- National Institutes of Health
- School of Medicine, Duke University
- National Heart, Lung, and Blood Institute (K08HL091108)
- Topics
- Health Sciences › Medicine › Physiology › Diet and metabolism studies
- Health Sciences › Medicine › Physiology › Dietary Effects on Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- low-carbohydrate diet, low-fat diet, metabolic risk factors, weight loss, obesity, cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, waist circumference, dietary fat restriction
- MeSH terms
- Adult, Age Factors, Blood Glucose, Blood Pressure, Body Weight, Cholesterol, Female, Humans, Insulin, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Risk Factors, Sex Factors, Triglycerides, Randomized Controlled Trials as Topic, Diet, Fat-Restricted, Metabolic Syndrome, Diet, Carbohydrate-Restricted, Waist Circumference, Young Adult
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