0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Review Article |

Effects of Low-Carbohydrate vs Low-Fat Diets on Weight Loss and Cardiovascular Risk Factors:  A Meta-analysis of Randomized Controlled Trials FREE

Alain J. Nordmann, MD, MSc; Abigail Nordmann, BS; Matthias Briel, MD; Ulrich Keller, MD; William S. Yancy Jr, MD, MSH; Bonnie J. Brehm, PhD; Heiner C. Bucher, MD, MPH
[+] Author Affiliations

Author Affiliations: Basel Institute for Clinical Epidemiology (Drs Nordmann, Briel, and Bucher and Ms Nordmann) and Division of Endocrinology and Metabolism (Dr Keller), University Hospital Basel, Basel, Switzerland; Department of Medicine, Department of Veterans Affairs and Duke University Medical Centers, Durham, NC (Dr Yancy); and College of Nursing, University of Cincinnati, Cincinnati, Ohio (Dr Brehm).


Arch Intern Med. 2006;166(3):285-293. doi:10.1001/archinte.166.3.285.
Text Size: A A A
Published online

Background  Low-carbohydrate diets have become increasingly popular for weight loss. However, evidence from individual trials about benefits and risks of these diets to achieve weight loss and modify cardiovascular risk factors is preliminary.

Methods  We used the Cochrane Collaboration search strategy to identify trials comparing the effects of low-carbohydrate diets without restriction of energy intake vs low-fat diets in individuals with a body mass index (calculated as weight in kilograms divided by the square of height in meters) of at least 25. Included trials had to report changes in body weight in intention-to-treat analysis and to have a follow-up of at least 6 months. Two reviewers independently assessed trial eligibility and quality of randomized controlled trials.

Results  Five trials including a total of 447 individuals fulfilled our inclusion criteria. After 6 months, individuals assigned to low-carbohydrate diets had lost more weight than individuals randomized to low-fat diets (weighted mean difference, –3.3 kg; 95% confidence interval [CI], −5.3 to −1.4 kg). This difference was no longer obvious after 12 months (weighted mean difference, −1.0 kg; 95% CI, −3.5 to 1.5 kg). There were no differences in blood pressure. Triglyceride and high-density lipoprotein cholesterol values changed more favorably in individuals assigned to low-carbohydrate diets (after 6 months, for triglycerides, weighted mean difference, −22.1 mg/dL [−0.25 mmol/L]; 95% CI, −38.1 to −5.3 mg/dL [−0.43 to −0.06 mmol/L]; and for high-density lipoprotein cholesterol, weighted mean difference, 4.6 mg/dL [0.12 mmol/L]; 95% CI, 1.5-8.1 mg/dL [0.04-0.21 mmol/L]), but total cholesterol and low-density lipoprotein cholesterol values changed more favorably in individuals assigned to low-fat diets (weighted mean difference in low-density lipoprotein cholesterol after 6 months, 5.4 mg/dL [0.14 mmol/L]; 95% CI, 1.2-10.1 mg/dL [0.03-0.26 mmol/L]).

Conclusions  Low-carbohydrate, non–energy-restricted diets appear to be at least as effective as low-fat, energy-restricted diets in inducing weight loss for up to 1 year. However, potential favorable changes in triglyceride and high-density lipoprotein cholesterol values should be weighed against potential unfavorable changes in low-density lipoprotein cholesterol values when low-carbohydrate diets to induce weight loss are considered.

Figures in this Article

In the past 4 decades, the prevalence of obesity among adults aged 20 to 74 years in the United States increased from 13% to 31%.1 In the United States, obesity results in an estimated 325 000 deaths annually2 and accounts for about 5.5% of total direct health care costs.3,4 At any given time, approximately 45% of women and 30% of men in the United States are attempting to lose weight.5 Numerous diets have been proposed to promote weight loss.6 Weight loss from certain diets may lead to prevention of type 2 diabetes and improved control of hypertension7 and may reduce cardiovascular morbidity and mortality. In a recent meta-analysis of randomized controlled trials, little evidence was found to support the use of diets other than low-fat diets for weight reduction.7 However, there is a lack of data from well-controlled trials about the most effective dietary approaches to achieve meaningful and long-term weight loss in overweight individuals. Although fat- and energy-restricted diets are generally recommended for these individuals,8,9 low-carbohydrate, high-protein diets are one of the most popular alternative weight loss approaches.10 Low-carbohydrate diets derive a large proportion of energy intake from protein and fat, and there is concern for the potentially detrimental impact of these diets on blood lipid levels and on cardiovascular risk.11 Results from individual clinical trials and uncontrolled studies suggest that there is insufficient evidence to make recommendations for or against the use of low-carbohydrate diets.12

In this meta-analysis, we compare the effects of low-carbohydrate diets without energy restriction vs energy-restricted low-fat diets on weight loss, blood pressure, and lipid values in randomized controlled trials with diet interventions for at least 6 months.

LITERATURE SEARCH

We used the Cochrane Collaboration search strategy13 and, together with a professional librarian, searched MEDLINE, EMBASE, PASCAL, GLOBAL HEALTH, HEALTH, Web of Science, and the Cochrane Library from January 1, 1980, to February 28, 2005, to identify all randomized controlled trials that compared low-carbohydrate with low-fat diets. We additionally reviewed UptoDate version 2005 and Clinical Evidence Concise 2004 (issue 12), contacted experts in the field, and searched reference lists of identified publications for citations of additional relevant articles. We contacted original trial investigators for additional information where needed.

TRIAL SELECTION AND DATA ABSTRACTION

To be included in this meta-analysis, trials were required to use a randomized controlled design comparing the effects of a low-carbohydrate diet (defined as a diet allowing a maximum intake of 60 g of carbohydrates per day) without energy intake restriction vs a low-fat diet (defined as a diet allowing a maximum of 30% of the daily energy intake from fat) with energy intake restriction in individuals with a body mass index (calculated as weight in kilograms divided by the square of height in meters) of at least 25. Included trials had to report changes in body weight by using an intention-to-treat analysis, to have a follow-up of at least 6 months, and to include individuals 16 years and older. We excluded trials with crossover or sequential designs.

Two investigators (A.J.N. and A.N.) independently assessed trial eligibility and quality. Disagreement was resolved by consensus. Data from eligible trials were extracted in duplicate. We assessed the quality of included trials with respect to concealed treatment allocation, blinded outcome assessment, loss to follow-up, and full description of losses to follow-up and withdrawals.14 The nature of the trials comparing diets required an open intervention with no blinding of trial participants and investigators.

The main end point was the weighted mean difference in weight loss from baseline to 6 and 12 months of follow-up between the 2 groups. Secondary end points were the attrition rates on diets and the weighted mean differences in percentage change of body weight, systolic and diastolic blood pressure, blood lipid levels (total cholesterol, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and triglycerides), fasting glucose level, fasting insulin level, and quality of life.

STATISTICAL ANALYSIS

We pooled treatment effects across trials and calculated weighted mean differences for outcome measures in the low-carbohydrate and the low-fat diet groups by means of a random effects model.15 We investigated the presence of publication bias by means of funnel plots.16 We tested for heterogeneity with the Cochran Q test and measured inconsistency (I2; the percentage of total variance across studies that is due to heterogeneity rather than chance) of treatment effects across trials.17 Sensitivity analyses were conducted to explore heterogeneity. We planned to conduct sensitivity analyses comparing trials with blinded vs unblinded outcome assessment, and trials with low-fat vs very-low-fat diets as a comparison with the low-carbohydrate diets. All statistical analyses were performed with Stata 8.2 software (Stata Corp, College Station, Tex).

Six published articles fulfilled our inclusion criteria (Figure 1).1823 Five of them described trials that included a total of 447 individuals (222 on low-carbohydrate diets and 225 on low-fat diets) and reported 6-month follow-up data. The sixth article21 reported on an extended 12-month follow-up from 1 of the other 5 articles.20 Twelve-month follow-up data were available from only 3 trials,19,21,23 including 137 individuals on low-carbohydrate diets and 138 individuals on low-fat diets. Table 1 shows the characteristics of the 5 trials; Table 2 summarizes the patient data.

Place holder to copy figure label and caption
Figure 1.

Flow diagram of systematic review.

Graphic Jump Location
Table Graphic Jump LocationTable 1. General Characteristics of Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 2. Patient Characteristics in Trials Comparing Low-Carbohydrate vs Low-Fat Diets

Four of the included trials compared the effects of low-carbohydrate diets vs energy-restricted low-fat diets allowing for up to 30% of daily energy intake from fat. One trial compared a low-carbohydrate diet with a very-low-fat diet containing only 10% of energy from fat.23 There was no trial with a follow-up of more than 12 months. The small number of trials with small numbers of individuals precluded a sensitive exploration of publication bias, although the funnel plot did not indicate evidence of such a bias.

All subjects in the trials were free-living individuals who bought and/or prepared their own food. Mean ages of included individuals ranged from 42 to 49 years. Most trials included predominantly women and healthy individuals. Only 1 trial20 included extremely obese individuals, with a mean body mass index of 43 and a prevalence of diabetes of 39% (Table 2). One trial22 reported intention-to-treat data using a linear mixed-effects model, and another trial23 used the baseline-value-carried-forward method to account for missing data. The 3 remaining trials1820 presented intention-to-treat analyses using both the last-value and the baseline-carried-forward methods. In this meta-analysis, we report results using these individual trials' data based on the last-value-carried-forward method. There was no qualitative change in outcome when data from these trials were reanalyzed by the baseline-value-carried-forward method. Changes in body weight are shown in Table 3, blood pressure in Table 4, and lipid values in Tables 5, 6, 7, and 8 in individual trials comparing low-carbohydrate with low-fat diets.

Table Graphic Jump LocationTable 3. Changes in Body Weight in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 4. Changes in Blood Pressure in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 5. Changes in Total Cholesterol Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 6. Changes in LDL-C Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 7. Changes in HDL-C Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 8. Changes in Triglyceride Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
QUALITY OF TRIALS

All trials used concealed treatment allocation. Because of the nature of the trials, blinding of participants was impossible. None of the trials used blinded outcome assessment for the primary outcome of change in body weight. Only 1 trial22 fully described the reasons for losses to follow-up (Table 1).

WEIGHT LOSS

After 6 months, individuals assigned to low-carbohydrate diets had lost more weight than individuals randomized to low-fat diets (weighted mean difference, −3.3 kg; 95% confidence interval [CI], −5.3 to −1.4 kg; P = .02 for the test of heterogeneity; I2 = 65%; 95% uncertainty interval [UI], 7%-87%) (Figure 2). Heterogeneity was mainly due to the fact that the only trial assigning subjects in the low-fat arm to the Ornish diet allowed a maximum of 10% of the daily energy intake from fat,23 whereas all other trials allowed 30% of the daily energy intake from fat in subjects randomized to low-fat diets. When this trial was excluded in a sensitivity analysis, the weighted mean difference for subjects randomized to low-carbohydrate vs low-fat diets was −4.3 kg (95% CI, −5.6 to −3.0; P = .77 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-85%). After 12 months there was no significant difference in weight loss between individuals in the 3 trials19,21,23 randomized to low-carbohydrate and low-fat diets (weighted mean difference, −1.0 kg; 95% CI, −3.5 to 1.5; P = .15 for the test of heterogeneity; I2 = 48%; 95% UI, 0%-85%).

Place holder to copy figure label and caption
Figure 2.

Weighted mean differences in weight loss after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval.

Graphic Jump Location

The summary estimates of weighted mean differences in percentage change in body weight in individuals randomized to low-carbohydrate vs low-fat diets were as follows: after 6 months, −3.4%; 95% CI, −6.0% to −0.7%; P<.001 for the test of heterogeneity; I2 = 91%; 95% UI, 83%-96%; and after 12 months (3 trials), −0.9%; 95% CI, −3.1 to 1.3; P = .15 for the test of heterogeneity; I2 = 47%; 95% UI, 0%-84%.

COMPLETION RATES ON DIETS

After 6 months, individuals randomized to low-carbohydrate diets were more likely to complete the trial than were individuals randomized to low-fat diets (156 [70%] of 222 individuals randomized to low-carbohydrate diets vs 129 [57%] of 225 individuals randomized to low-fat diets; odds ratio, 1.8; 95% CI, 1.2-2.6). After 12 months, this difference was no longer significant (84 [62%] of 135 individuals vs 72 [54%] of 134 individuals; odds ratio, 1.4; 95% CI, 0.9-2.3).

BLOOD PRESSURE

There was a trend toward lower systolic and diastolic blood pressure in individuals randomized to low-carbohydrate diets after 6 months (weighted mean difference in systolic blood pressure, −2.4 mm Hg; 95% CI, −4.9 to 0.1 mm Hg; P = .76 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-79%; weighted mean difference in diastolic blood pressure, −1.8 mm Hg; 95% CI, −3.7 to 0.1 mm Hg; P = .30 for the test of heterogeneity; I2 = 17%; 95% UI, 0%-83%). However, this trend was no longer detectable after 12 months (Figure 3).

Place holder to copy figure label and caption
Figure 3.

Weighted mean differences in systolic and diastolic blood pressure (BP) after 6 and 12 months of follow-up. A, Systolic BP, 6 months; B, systolic BP, 12 months; C, diastolic BP, 6 months; and D, diastolic BP, 12 months. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval.

Graphic Jump Location
LIPID VALUES

Intention-to-treat data for lipid values were available from 4 of 5 trials.19,20,22,23 Summary estimates of weighted mean differences at 6 months were not in favor of low-carbohydrate diets for total cholesterol values (8.9 mg/dL [0.23 mmol/L]; 95% CI, 3.1-14.3 mg/dL [0.08-0.37 mmol/L]; P = .48 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-85%) (Figure 4), nor for LDL-C values (5.4 mg/dL [0.14 mmol/L]; 95% CI, 1.2-10.1 mg/dL [0.03-0.26 mmol/L]; P = .66 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-85%) (Figure 5). At 12 months, the summary estimates of the weighted mean change for total cholesterol level (10.1 mg/dL [0.26 mmol/L]; 95% CI, 3.5-16.2 mg/dL [0.09-0.42 mmol/l]; P = .63 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-90%) and LDL-C level (7.7 mg/dL [0.20 mmol/L]; 95% CI, 1.9-13.9 mg/dL [0.05-0.36 mmol/L]; P = .80 for the test of heterogeneity; I2 = 0%; 95% UI, 0%-90%) were basically unchanged when compared with the 6-month data.

Place holder to copy figure label and caption
Figure 4.

Weighted mean differences in total cholesterol level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 5.

Weighted mean differences in low-density lipoprotein cholesterol level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location

Contrarily, summary estimates of weighted mean differences after 6 months in HDL-C (Figure 6) and triglyceride (Figure 7) values were in favor of low-carbohydrate diets (for HDL-C, 4.6 mg/dL [0.12 mmol/L]; 95% CI, 1.5-8.1 mg/dL [0.04-0.21 mmol/L]; P = .01 for the test of heterogeneity; I2 = 75%; 95% UI, 29%-91%; and for triglyceride, −22.1 mg/dL [−0.25 mmol/L]; 95% CI, −38.1 to −5.3 mg/dL [−0.43 to −0.06 mmol/L]; P = .13 for the test of heterogeneity; I2 = 48%; 95% UI, 0%-83%). At 12 months, summary estimates of weighted mean differences for HDL-C and triglycerides, respectively, were as follows: 3.1 mg/dL (0.08 mmol/L) (95% CI, −0.8 to 7.0 mg/dL [−0.02 to 0.18 mmol/L]; P = .01 for heterogeneity; I2 = 79%; 95% UI, 31%-93%); and −31.0 mg/dL (−0.35 mmol/L) (95% CI, −59.3 to −2.7 mg/dL [−0.67 to −0.03 mmol/L]; P = .09 for the test of heterogeneity; I2 = 59%; 95% UI, 0%-88%).

Place holder to copy figure label and caption
Figure 6.

Weighted mean differences in high-density lipoprotein level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 7.

Weighted mean differences in triglyceride level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert triglyceride levels to millimoles per liter, multiply by 0.0113.

Graphic Jump Location
GLUCOSE AND INSULIN VALUES

Intention-to-treat data for changes in glucose and insulin values were available from 3 trials, but methodologic differences in assessment of glucose and insulin values precluded a pooled analysis of these measures. In one trial there was no difference between the 2 groups, either in the area under the glucose curve or in the area under the insulin curve after a glucose tolerance test.19 Similarly, in the one trial comparing a low-carbohydrate with a very-low-fat diet, there was no difference in fasting glucose or insulin values between the 2 groups.23 In the last trial,20 fasting glucose values were lowered more efficiently in individuals on the low-carbohydrate diet than on the low-fat diet after 6 months (−10.8 ± 23.4 mg/dL [−0.6 ± 1.3 mmol/L] vs −1.8 ± 21.6 mg/dL [–0.1 ± 1.2 mmol/L]; P = .02), but this effect was no longer detectable after 12 months. In the same trial, there was no difference in insulin levels between the 2 groups after 12 months. In the subgroup of patients with diabetes in this trial, hemoglobin A1c values changed more favorably in individuals on the low-carbohydrate diet than on the low-fat diet at 12 months (−0.7% ± 1.0% vs −0.1% ± 1.6%; P = .02; after adjustment for weight loss).

In this meta-analysis of randomized controlled trials comparing the effects of low-carbohydrate vs low-fat diets, low-carbohydrate diets were more effective in inducing weight loss after 6 months, but this effect was no longer obvious after 12 months of follow-up. There was no clear benefit of either diet when their effects on cardiovascular risk factors were examined. Changes in blood pressure were not different between the 2 groups. Whereas total and LDL-C levels decreased more in individuals randomized to low-fat diets, HDL-C and triglyceride values changed more favorably in individuals randomized to low-carbohydrate diets.

This study has several strengths and limitations. We conducted an extensive literature search to retrieve all relevant eligible trials. Although formal testing did not indicate any publication bias, such a bias cannot definitely be ruled out because of the small number of the trials included and the low power of any test to detect publication bias.

The quality of the included trials was moderate. Whereas most trials used concealed treatment allocation, losses to follow-up were quite substantial. No trial reported blinded outcome assessment. Therefore, we were not able to conduct sensitivity analyses comparing trials with blinded outcome assessment vs trials without it, as originally planned. The absence of blinded outcome assessment is a flaw that potentially limits the validity of individual trials.

Dropout rates were substantial. After 1 year of follow-up, between 31% and 48% of individuals randomized to low-carbohydrate diets, and between 37% and 50% of individuals randomized to low-fat diets, had dropped out of the trials. To account for missing data, original trials conducted intention-to-treat analyses, most of them using either the baseline or the last-value-carried-forward method. Both methods are problematic, as one cannot necessarily assume that individuals dropping out of a dietary intervention trial will return to their baseline body weight or maintain their body weight achieved at the time of dropout. However, the results based on various methods of analysis were consistent and thus may strengthen the credibility of our findings. Future trials, however, should aim at obtaining a complete evaluation of body weight and cardiovascular risk factors in all participating individuals irrespective of complete or incomplete adherence to allocated diet.24

There was evidence of heterogeneity concerning the main outcome of weight loss after 6 months. The small number of trials included in this meta-analysis and the absence of trials using blinded outcome assessment precluded formal exploration of heterogeneity. Nonetheless, heterogeneity was likely to be due to the one trial that compared a low-carbohydrate diet with a very-low-fat diet, as opposed to a low-fat diet as in other trials.23 Results were not qualitatively different when the analysis was repeated after exclusion of that trial.

Follow-up in the trials was too short to look at cardiovascular morbidity or mortality. Hence, outcomes were limited to surrogate markers such as body weight and cardiovascular risk factors. Even for the surrogate markers chosen, follow-up durations were rather short. Most trials included younger individuals with severe overweight and obesity. Therefore, our results cannot be generalized to more senior individuals or to individuals with moderate overweight. In addition, no trial reported assessment of quality of life for individuals on either diet. Clearly, there is a need for longer-term trials in individuals with wider ranges of age and overweight and addressing not only weight loss and cardiovascular risk factors but also cardiovascular morbidity, mortality, and quality of life.

A recent systematic review12 looking at the efficacy and safety of low-carbohydrate diets concluded that, at that time, there was insufficient evidence to make recommendations for or against the use of low-carbohydrate diets. That review included highly heterogeneous trials with respect to design and carbohydrate content. The review did not include any randomized controlled trial comparing the effects of a low-carbohydrate diet without energy restriction vs a low-fat diet during a minimum of 6 months. On the basis of our results from a meta-analysis of 6 randomized controlled trials published subsequent to the systematic review, we believe there is still insufficient evidence to make recommendations for or against the use of low-carbohydrate diets to induce weight loss, especially for durations longer than 6 months. The differences in weight loss between low-carbohydrate and low-fat diets after 12 months were minor and not clinically relevant. In our opinion, the unfavorable changes in LDL-C levels caution against the conclusion that low-carbohydrate diets can be generally recommended to promote weight loss. No trials of low-carbohydrate diets have been performed that are powered for clinical end points (eg, myocardial infarction or death). It is therefore uncertain whether the beneficial effects of these diets on HDL-C and triglyceride levels outweigh the unfavorable changes in LDL-C level. In contrast, trials of reduced-fat diets, in conjunction with other lifestyle modifications such as increased physical activity, have demonstrated long-term maintenance of weight reduction and delayed onset of diabetes.25,26 Furthermore, randomized controlled trials have also demonstrated the benefits of the Mediterranean diet on secondary prevention of cardiovascular disease.6

We conclude that low-carbohydrate diets appear to be at least as effective as low-fat diets in inducing weight loss for a duration of up to 1 year. Low-carbohydrate diets are associated with unfavorable changes in total cholesterol and LDL-C levels, but favorable changes in triglyceride and probably HDL-C values. In the absence of evidence that low-carbohydrate diets reduce cardiovascular morbidity and mortality, such diets currently cannot be recommended for prevention of cardiovascular disease.

Correspondence: Alain J. Nordmann, MD, MSc, Basel Institute for Clinical Epidemiology, University Hospital Basel, Hebelstrasse 10, CH-4031 Basel, Switzerland (nordmanna@uhbs.ch).

Accepted for Publication: September 1, 2005.

Financial Disclosure: Dr Yancy's salary is funded in part by the Robert C. Atkins Foundation, Jenkintown, Pa.

Funding/Support: This study was supported in part by Swissmilk, Berne, Switzerland. Drs Nordmann, Briel, and Bucher are funded by grants from Santésuisse, Solothurn, Switzerland, and the Gottfried and Julia Bangerter-Rhyner Foundation, Zurich, Switzerland. Dr Yancy is supported by Health Services Research Career Development Award RCD 02-183-1 from the Department of Veterans Affairs, Washington, DC.

Role of the Sponsor: The funding sources had no role in study design, data collection, data analysis, data interpretation, or writing of the manuscript.

Acknowledgment: We thank Michael L. Dansinger, MD, for providing us with original data from his trial.

Flegal  KMCarroll  MDOgden  CLJohnson  CL Prevalence and trends in obesity among US adults, 1999-2000. JAMA 2002;2881723- 1727
PubMed Link to Article
Allison  DBZannolli  RNarayan  KM The direct health care costs of obesity in the United States. Am J Public Health 1999;891194- 1199
PubMed Link to Article
Wolf  AMColditz  GA Current estimates of the economic cost of obesity in the United States. Obes Res 1998;697- 106
PubMed Link to Article
Finkelstein  EAFiebelkorn  ICWang  G National medical spending attributable to overweight and obesity: how much, and who's paying? Health Aff (Millwood) Jan-Jun2003;Suppl Web Exclusives: W3-219-226
PubMed
Serdula  MKMokdad  AHWilliamson  DFGaluska  DAMendlein  JMHeath  GW Prevalence of attempting weight loss and strategies for controlling weight. JAMA 1999;2821353- 1358
PubMed Link to Article
Parikh  PMcDaniel  MCAshen  MD  et al.  Diets and cardiovascular disease: an evidence-based assessment. J Am Coll Cardiol 2005;451379- 1387
PubMed Link to Article
Avenell  ABroom  JBrown  TJ  et al.  Systematic review of the long-term effects and economic consequences of treatments for obesity and implications for health improvement. Health Technol Assess 2004;8iii- iv, 1-182
PubMed
The Practical Guide, Identification, Evaluation and Treatment of Overweight and Obesity in Adults.  Bethesda, Md US Dept of Health and Human Services2000;NIH publication 00-4084
Freedman  MRKing  JKennedy  E Popular diets: a scientific review. Obes Res 2001;9 ((suppl 1)) 1S- 40S
PubMed Link to Article
Atkins  RC Dr. Atkins' New Diet Revolution.  New York, NY HarperCollins Publishers1998;
Blackburn  GLPhillips  JCMorreale  S Physician's guide to popular low-carbohydrate weight-loss diets. Cleve Clin J Med 2001;68761- 765-766, 768-769, 773-774
PubMed Link to Article
Bravata  DMSanders  LHuang  J  et al.  Efficacy and safety of low-carbohydrate diets: a systematic review. JAMA 2003;2891837- 1850
PubMed Link to Article
Dickersin  KScherer  RLefebvre  C Identifying relevant studies for systematic reviews. BMJ 1994;3091286- 1291
PubMed Link to Article
Juni  PWitschi  ABloch  REgger  M The hazards of scoring the quality of clinical trials for meta-analysis. JAMA 1999;2821054- 1060
PubMed Link to Article
DerSimonian  RLaird  N Meta-analysis in clinical trials. Control Clin Trials 1986;7177- 188
PubMed Link to Article
Sterne  JAEgger  M Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol 2001;541046- 1055
PubMed Link to Article
Higgins  JPThompson  SGDeeks  JJAltman  DG Measuring inconsistency in meta-analyses. BMJ 2003;327557- 560
PubMed Link to Article
Brehm  BJSeeley  RJDaniels  SRD’Alessio  DA A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. J Clin Endocrinol Metab 2003;881617- 1623
PubMed Link to Article
Foster  GDWyatt  HRHill  JO  et al.  A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med 2003;3482082- 2090
PubMed Link to Article
Samaha  FFIqbal  NSeshadri  P  et al.  A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med 2003;3482074- 2081
PubMed Link to Article
Stern  LIqbal  NSeshadri  P  et al.  The effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial. Ann Intern Med 2004;140778- 785
PubMed Link to Article
Yancy  WS  JrOlsen  MKGuyton  JRBakst  RPWestman  EC A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Ann Intern Med 2004;140769- 777
PubMed Link to Article
Dansinger  MLGleason  JAGriffith  JLSelker  HPSchaefer  EJ Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. JAMA 2005;29343- 53
PubMed Link to Article
Ware  JH Interpreting incomplete data in studies of diet and weight loss. N Engl J Med 2003;3482136- 2137
PubMed Link to Article
Knowler  WCBarrett-Connor  EFowler  SE  et al. Diabetes Prevention Program Research Group, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346393- 403
PubMed Link to Article
Tuomilehto  JLindstrom  JEriksson  JG  et al. Finnish Diabetes Prevention Study Group, Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;3441343- 1350
PubMed Link to Article

Figures

Place holder to copy figure label and caption
Figure 1.

Flow diagram of systematic review.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Weighted mean differences in weight loss after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 3.

Weighted mean differences in systolic and diastolic blood pressure (BP) after 6 and 12 months of follow-up. A, Systolic BP, 6 months; B, systolic BP, 12 months; C, diastolic BP, 6 months; and D, diastolic BP, 12 months. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 4.

Weighted mean differences in total cholesterol level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 5.

Weighted mean differences in low-density lipoprotein cholesterol level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 6.

Weighted mean differences in high-density lipoprotein level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert cholesterol levels to millimoles per liter, multiply by 0.0259.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 7.

Weighted mean differences in triglyceride level after 6 (A) and 12 (B) months of follow-up. Carb indicates carbohydrates; CI, confidence interval; UI, uncertainty interval. To convert triglyceride levels to millimoles per liter, multiply by 0.0113.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. General Characteristics of Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 2. Patient Characteristics in Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 3. Changes in Body Weight in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 4. Changes in Blood Pressure in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 5. Changes in Total Cholesterol Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 6. Changes in LDL-C Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 7. Changes in HDL-C Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets
Table Graphic Jump LocationTable 8. Changes in Triglyceride Values in Individual Trials Comparing Low-Carbohydrate vs Low-Fat Diets

References

Flegal  KMCarroll  MDOgden  CLJohnson  CL Prevalence and trends in obesity among US adults, 1999-2000. JAMA 2002;2881723- 1727
PubMed Link to Article
Allison  DBZannolli  RNarayan  KM The direct health care costs of obesity in the United States. Am J Public Health 1999;891194- 1199
PubMed Link to Article
Wolf  AMColditz  GA Current estimates of the economic cost of obesity in the United States. Obes Res 1998;697- 106
PubMed Link to Article
Finkelstein  EAFiebelkorn  ICWang  G National medical spending attributable to overweight and obesity: how much, and who's paying? Health Aff (Millwood) Jan-Jun2003;Suppl Web Exclusives: W3-219-226
PubMed
Serdula  MKMokdad  AHWilliamson  DFGaluska  DAMendlein  JMHeath  GW Prevalence of attempting weight loss and strategies for controlling weight. JAMA 1999;2821353- 1358
PubMed Link to Article
Parikh  PMcDaniel  MCAshen  MD  et al.  Diets and cardiovascular disease: an evidence-based assessment. J Am Coll Cardiol 2005;451379- 1387
PubMed Link to Article
Avenell  ABroom  JBrown  TJ  et al.  Systematic review of the long-term effects and economic consequences of treatments for obesity and implications for health improvement. Health Technol Assess 2004;8iii- iv, 1-182
PubMed
The Practical Guide, Identification, Evaluation and Treatment of Overweight and Obesity in Adults.  Bethesda, Md US Dept of Health and Human Services2000;NIH publication 00-4084
Freedman  MRKing  JKennedy  E Popular diets: a scientific review. Obes Res 2001;9 ((suppl 1)) 1S- 40S
PubMed Link to Article
Atkins  RC Dr. Atkins' New Diet Revolution.  New York, NY HarperCollins Publishers1998;
Blackburn  GLPhillips  JCMorreale  S Physician's guide to popular low-carbohydrate weight-loss diets. Cleve Clin J Med 2001;68761- 765-766, 768-769, 773-774
PubMed Link to Article
Bravata  DMSanders  LHuang  J  et al.  Efficacy and safety of low-carbohydrate diets: a systematic review. JAMA 2003;2891837- 1850
PubMed Link to Article
Dickersin  KScherer  RLefebvre  C Identifying relevant studies for systematic reviews. BMJ 1994;3091286- 1291
PubMed Link to Article
Juni  PWitschi  ABloch  REgger  M The hazards of scoring the quality of clinical trials for meta-analysis. JAMA 1999;2821054- 1060
PubMed Link to Article
DerSimonian  RLaird  N Meta-analysis in clinical trials. Control Clin Trials 1986;7177- 188
PubMed Link to Article
Sterne  JAEgger  M Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. J Clin Epidemiol 2001;541046- 1055
PubMed Link to Article
Higgins  JPThompson  SGDeeks  JJAltman  DG Measuring inconsistency in meta-analyses. BMJ 2003;327557- 560
PubMed Link to Article
Brehm  BJSeeley  RJDaniels  SRD’Alessio  DA A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. J Clin Endocrinol Metab 2003;881617- 1623
PubMed Link to Article
Foster  GDWyatt  HRHill  JO  et al.  A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med 2003;3482082- 2090
PubMed Link to Article
Samaha  FFIqbal  NSeshadri  P  et al.  A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med 2003;3482074- 2081
PubMed Link to Article
Stern  LIqbal  NSeshadri  P  et al.  The effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial. Ann Intern Med 2004;140778- 785
PubMed Link to Article
Yancy  WS  JrOlsen  MKGuyton  JRBakst  RPWestman  EC A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Ann Intern Med 2004;140769- 777
PubMed Link to Article
Dansinger  MLGleason  JAGriffith  JLSelker  HPSchaefer  EJ Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. JAMA 2005;29343- 53
PubMed Link to Article
Ware  JH Interpreting incomplete data in studies of diet and weight loss. N Engl J Med 2003;3482136- 2137
PubMed Link to Article
Knowler  WCBarrett-Connor  EFowler  SE  et al. Diabetes Prevention Program Research Group, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346393- 403
PubMed Link to Article
Tuomilehto  JLindstrom  JEriksson  JG  et al. Finnish Diabetes Prevention Study Group, Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;3441343- 1350
PubMed Link to Article

Correspondence

CME
Also Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Your answers have been saved for later.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 336

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Collections
PubMed Articles
JAMAevidence.com