Literature DB >> 26527511

Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: a systematic review and meta-analysis.

Deirdre K Tobias1, Mu Chen2, JoAnn E Manson3, David S Ludwig4, Walter Willett5, Frank B Hu5.   

Abstract

BACKGROUND: The effectiveness of low-fat diets for long-term weight loss has been debated for decades, with many randomised controlled trials (RCTs) and recent reviews giving mixed results. We aimed to summarise the large body of evidence from RCTs to determine whether low-fat diets contribute to greater weight loss than participants' usual diet, low-carbohydrate diets, and other higher-fat dietary interventions.
METHODS: We did a systematic review and random effects meta-analysis of RCTs comparing the long-term effect (≥1 year) of low-fat and higher-fat dietary interventions on weight loss by searching MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Database of Systematic Reviews to identify eligible trials published from database inception up until July 31, 2014. We excluded trials if one intervention group included a non-dietary weight loss component but the other did not, and trials of dietary supplements or meal replacement drink interventions. Data including the main outcome measure of mean difference in weight change between interventions, and whether interventions were intended to lead to weight loss, weight maintenance, or neither, were extracted from published reports. We estimated the pooled weighted mean difference (WMD) with a DerSimonian and Laird random effects method.
FINDINGS: 3517 citations were identified by the search and 53 studies met our inclusion criteria, including 68 128 participants (69 comparisons). In weight loss trials, low-carbohydrate interventions led to significantly greater weight loss than did low-fat interventions (18 comparisons; WMD 1·15 kg [95% CI 0·52 to 1·79]; I(2)=10%). Low-fat interventions did not lead to differences in weight change compared with other higher-fat weight loss interventions (19 comparisons; WMD 0·36 kg [-0·66 to 1·37; I(2)=82%), and led to a greater weight decrease only when compared with a usual diet (eight comparisons; -5·41 kg [-7·29 to -3·54]; I(2)=68%). Similarly, results of non-weight-loss trials and weight maintenance trials, for which no low-carbohydrate comparisons were made, showed that low-fat versus higher-fat interventions have a similar effect on weight loss, and that low-fat interventions led to greater weight loss only when compared with usual diet. In weight loss trials, higher-fat weight loss interventions led to significantly greater weight loss than low-fat interventions when groups differed by more than 5% of calories obtained from fat at follow-up (18 comparisons; WMD 1·04 kg [95% CI 0·06 to 2·03]; I(2)=78%), and when the difference in serum triglycerides between the two interventions at follow-up was at least 0·06 mmol/L (17 comparisons; 1·38 kg [0·50 to 2·25]; I(2)=62%).
INTERPRETATION: These findings suggest that the long-term effect of low-fat diet intervention on bodyweight depends on the intensity of the intervention in the comparison group. When compared with dietary interventions of similar intensity, evidence from RCTs does not support low-fat diets over other dietary interventions for long-term weight loss. FUNDING: National Institutes of Health and American Diabetes Association.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26527511      PMCID: PMC4667723          DOI: 10.1016/S2213-8587(15)00367-8

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


Introduction

Identifying effective strategies for long-term weight control will be critical to reduce the alarming prevalence of overweight and obesity worldwide. The macronutrient composition of the diet, or the proportions of calories contributed by fat, carbohydrate, and protein, has received significant attention in past decades for its potential relevance in weight loss and weight maintenance. Numerous short- and long-term randomized trials across a variety of general and clinical populations have attempted to identify the optimal ratio of macronutrients for weight loss. Lowering the proportion of daily calories consumed from total fat has been targeted for many reasons, one of which is that a single gram of fat contains more than twice the calories of a gram of carbohydrates or protein (9 kcal/gram vs. 4 kcal/gram). Thus, reducing total fat intake may theoretically lead to an appreciable impact on total calories consumed. However, randomized trials have failed to consistently demonstrate that reducing the percent of energy from total fat leads to long-term weight loss compared to other dietary interventions. This systematic review and meta-analysis aimed to summarize the large body of evidence from randomized control trials (RCTs) lasting ≥1 year in which weight changes on low-fat diets vs. other dietary intervention groups were compared. Trials were included regardless of whether weight loss was intended or not, for example in studies evaluating lipids or cancer endpoints. We considered stratification by characteristics of the interventions that may affect differences in weight loss, including whether the intervention arms received similar attention and intervention intensity, or the composition of the comparison diet. We hypothesized that low-fat diets would not be associated with greater weight loss when differences in these intervention characteristics were taken into account, and that differences in weight loss favoring higher fat interventions would be larger when adherence was greater.

Methods

Search strategy and inclusion criteria

Predefined search strategy, study eligibility criteria, and statistical methodological approaches, were detailed in our unpublished research protocol. Full details of our literature search (Page 2) and PRISMA checklist (Pages 7–10) are outlined in the Appendix. Briefly, we used the MEDLINE, EMBASE, CENTRAL, and Cochrane Database of Systematic Reviews to identify eligible trials. We included trials lasting ≥1 year comparing weight change on a low-fat diet (as defined by authors) with any higher fat dietary intervention, including “usual diet” among non-pregnant adults. Trials of shorter duration were excluded because weight-loss trials frequently observe an initial maximal weight loss around 6 months with subsequent weight regain. The outcome of interest was long-term (≥1 year) change in body weight (reported as mean change from baseline, mean change difference, or mean body weight at end of follow-up). Efforts were made to contact authors to obtain variance measures, if not reported, but were ultimately excluded if unavailable. We excluded trials if one intervention group included a non-dietary weight loss component (e.g., exercise regimen, pharmaceutical intervention) while the other did not. We did not make exclusions based on concomitant dietary components (e.g., increase fruits and vegetables). Nonrandomized trials were excluded as well as dietary supplements or meal replacement drink interventions as these were beyond the scope of our investigation. If trial results were published more than once, the paper with the most complete follow-up was included in the main analysis. Screening of abstracts for relevance was conducted by two reviewers (DT, MC) and eligible full texts were reviewed with an inclusion/exclusion criteria sheet independently and in duplicate by two reviewers (DT, MC).

Data extraction

Variables captured from the final accepted studies included study level information (authors, country, center), study population characteristics, intervention details, including weight loss intention (yes, no, maintain) and the relative intensity of each intervention, as described by study authors (i.e., systematically greater attention, time spent with study clinicians, dieticians, program materials, etc for one intervention group over the other), and outcomes by treatment arm. We also recorded dietary adherence, including change in serum triglyceride levels and the percent calories from fat during follow-up. We analyzed the intention-to-treat estimates, when reported. We evaluated the trials’ potential for bias using the Cochrane risk of bias assessment tool.(1) Data were extracted independently by two investigators (DT, MC), and discrepancies resolved with a third reviewer (FH), if necessary.

Data analysis

We calculated the mean difference in body weight change from baseline by subtracting the mean change of the comparison diet group from the mean change in the low-fat diet group. If the mean change was not reported we compared the groups’ final mean body weights, under the assumption that randomization resulted in similar average baseline body weights between treatment arms. We estimated the pooled weighted mean difference and 95% confidence interval (CI) with a DerSimonian and Laird random effects model. P<0.05 was considered statistically significant. We assessed heterogeneity from the Mantel-Haenszel model and I2 values (the percent of variance in the pooled estimate due to between-study differences), with I2>50% indicating moderate heterogeneity.(2) Analyses established a priori were conducted to evaluate potential heterogeneity by the whether the trial was designed with the intention of weight loss, the composition of the comparison diet (low-carbohydrate, other moderate fat/”healthful” diet, or usual diet), the interventions’ relative intensity, , whether either, neither, or both of the interventions included caloric restriction, and the baseline health status of the participants. Additionally, we stratified by change in triglyceride levels and in attained self-reported percent calories from fat, with an increase in triglycerides reflecting a relative decrease in fat intake.(3) Finally, we conducted sensitivity analyses to assess the robustness of findings. We evaluated the impact of removing the largest study or studies, based on their percent weight in the pooled estimates and restricted to trials conducting intention-to-treat analyses and with ≥100 participants. Primary analyses were repeated using an inverse variance weighted fixed effect model. The Begg (4) and Egger (5, 6) tests were conducted to test for the potential of publication bias by plotting the inverse of the variance against the treatment effect. Analyses were performed using STATA® version 13.1.

Role of the funding source

The funding sources did not participate in the design or conduct of the study; collection, management, analysis or interpretation of the data; preparation, review, or approval of the manuscript. DT had full access to all of the data and the final responsibility to submit for publication.

RESULTS

Our search yielded 3,517 citations (Figure 1), of which 53 RCTs were eligible for inclusion in our analysis (Table 1). The majority of trials were conducted in North America (n=37) and were 1 year in duration (n=27). Twenty trials specifically enrolled participants with prevalent chronic diseases, including breast cancer,(7–10) hypercholesterolemia,(11–13) and type 2 diabetes.(14–22) In addition to 35 weight loss trials, there were 13 trials with no intended intervention on weight, (7–10, 12, 13, 22–28) and 5 weight maintenance trials designed to maintain baseline body weight. (11, 29–32)
Figure 1

PRISMA Flow Diagram

Table 1

Randomized trials of low-fat versus other dietary interventions of at least 1 year duration among adults, included in the meta-analysis.

Trial NameN randomized;PopulationCountryWeightlossgoalLow-fat diet(s)interventionComparator diet(s)interventionFollow-upduration(years)
A to Z (36)311; Overweight,premenopausalwomenUSYes[1] LEARN (reducedcalorie); [2] Ornish (<10%fat; reduced calorie)[1] Atkins low-carbohydrate;[2] Zone (30% fat; reducedcalorie)1
Anderson 1992(11)117; ModeratehypercholesterolemiaUSMaintainAmerican Heart AssociationPhase II (25% fat)Usual diet1
Barnard 2009(14)99; Type 2 diabetesUSYesVegan (10% fat)American DiabetesAssociation Diet 2003 (30%fat; reduced calorie)1.4
Bazzano 2014(37)148; ObeseUSYesNational CholesterolEducation Program (<30%fat)Low carbohydrate1
Bertz 2012 (38)68; BreastfeedingmothersSwedenYesNordic Nutrition Guidelines(<30% fat; reduced calorie)Usual diet1
Boyd 1990 (29)295; Women at highbreast cancer riskCanadaMaintain15% fatCanadian Food Guide (Nofat intake advice)1
Breast CancerPreventionProgram (23)194; Women at highbreast cancer riskUSNo15% fatUsual diet1
Brehm 2009(15)124;Overweight/obesewith type 2 diabetesUSYesHigh carbohydrate (25% fat;reduced calorie)High mono-unsaturated fat(40% fat; reduced calorie)1
BRIDGES (7)172; Women withrecent breast cancerUSNoNutrition Education Program(20% fat)Usual diet1
Brinkworth2009 (39, 40)118; At risk formetabolic syndromeAustraliaYes30% fat (reduced calorie)Atkins low-carbohydrate(61% fat; reduced calorie)1
CALERIEPhase I (41)34; OverweightUSYesHigh glycemic index, foodprovided (20% fat; reducedcalorie)Low glycemic index, foodprovided (30% fat; reducedcalorie)1
Canadian Dietand BreastCancerPreventionStudy (30)4690; Women at highbreast cancer riskCanadaMaintain15% fatCanadian Food Guide (Nofat intake advice)10
Dansinger 2005(42)160; At risk forcardiovasculardiseaseUSYesOrnish (<10% fat)[1] Atkins low-carbohydrate;[2] Zone (30% fat); [3]Weight Watchers (reducedcalorie)1
Davis 2009 (16)105; Type 2 diabetesUSYesDiabetes PreventionProgram diet (25% fat)Atkins low-carbohydrate1
DEER (12)377;HypercholesterolemiaUSNoNational CholesterolEducation Program (<30%fat)Usual diet1
The DietaryAlternativesStudy (13)508; Men withhypercholesterolemiaUSNo[1] 26% fat; [2] 22% fat; [3]18% fat30% fat1
DIRECT (17)322; Type 2 diabetes,cardiovasculardisease, or obeseIsraelYesAmerican Heart Association(30% fat; reduced calorie)[1] Mediterranean diet (35%fat; reduced calorie); [2]Atkins low-carbohydrate2
Ebbeling 2007(43)73; Obese youngadultsUSYes20% fatLow glycemic-indexcarbohydrates (35% fat)1.5
Elhayany 2010(18)259; Type 2 diabetesIsraelYes[1] American DiabetesAssociation 2003 (30% fat;reduced calorie); [2] Low-fatMediterranean (30% fat;reduced calorie)Low carbohydrateMediterranean diet (45%fat; reduced calorie)1
Esposito 2009(19)215; Type 2 diabetesItalyYesAmerican Heart Association2000 (<30% fat; reducedcalorie)Mediterranean diet (>30%fat; reduced calorie)4
Foster 2003(44)63; ObeseUSYes25% fat (reduced calorie)Atkins low-carbohydrate1
Foster 2010(45)307; ObeseUSYes30% fat (reduced calorie)Atkins low-carbohydrate2
Guldbrand 2012(20)61; Type 2 diabetesSwedenYes<30% fat (reduced calorie)Low-carbohydrate (50% fat;reduced calorie)2
Harvey-Berino1999 (46)80;Overweight/obeseUSYes20% fatLow-calorie1.5
Iqbal 2010 (21)144; Type 2 diabetes,obeseUSYes<30% fat (reduced calorie)Low-carbohydrate2
Keogh 2007(47)44;Overweight/obeseAustraliaYes20% fat (reduced calorie)Low-carbohydrate (27% fat;reduced calorie)1
Klemsdal 2010(48)202; MetabolicsyndromeNorwayYes30% fat (reduced calorie)Low glycemic load (35–40%fat; reduced calorie)1
Kristal 2005(49)93;Overweight/obesewith esophagealmetaplasiaUSYes20% fat (reduced calorie)Usual diet3
Lapointe 2010(50)68;Overweight/obesepostmenopausalwomenCanadaYesReduce fat intakeIncrease fruits andvegetables1.5
Lim 2010 (51)113; Highcardiovasculardisease riskAustraliaYesFood provided (10% fat;reduced calorie)[1] Low-carbohydrate, foodprovided (60% fat; reducedcalorie); [2] Highunsaturated fat, foodprovided (30% fat; reducedcalorie); [3] Usual diet1.25
McAuley 2006(52)96; Womenoverweight/obesewith insulinresistanceNewZealandYesDiabetes and NutritionStudy Group of theEuropean Association forthe Study of Diabetes(<30% fat)[1] low carbohydrate Atkinsdiet; [2] Zone diet (30% fat)1
McManus 2001(53)101; OverweightUSYes20% fat (reduced calorie)35% fat (reduced calorie)1.5
Nutrition andExercise inWomen Study(54)439;Postmenopausaloverweight/obesewomenUSYes<30% fat (reduced calorie)Usual diet1
Nutrition andBreast HealthStudy (31)122; Premenopausalwomen at risk ofbreast cancerUSMaintain(1) 15% fat; (2) High fruitsand vegetables (15% fat)(1) Usual diet; (2) High fruitsand vegetables1
Pilkington 1960(24)58; Men withischemic heartdiseaseUKNo20 g fat/dayIncrease unsaturated fats1.5
PolypPrevention Trial(25)2079; Recentcolorectal adenomaUSNo20% fatUsual diet3.1
Pounds LostTrial (55)811;Overweight/obeseUSYes[1] 20% fat (reducedcalorie); [2] high protein(20% fat; reduced calorie)[1] 40% fat (reducedcalorie); [2] high protein(40% fat; reduced calorie)2
PREDIMED(26)7447; Highcardiovasculardisease riskSpainNoReduce fat intakeMediterranean Diet + [1]increase extra-virgin oliveoil intake, [2] mixed nutsintake4.8
PREMIER (56)810; PrehypertensionUSYesDASH (<25% fat; reducedcalorie)30% fat (reduced calorie)1.5
Shah 1996 (57)122; Obese womenUSYes20 g fat/day30% fat (reduced calorie)1
SMART Study(58)200;Overweight/obeseGermanyYesGerman Nutrition Society(30% fat; reduced calorie)Low-carbohydrate (35% fat;reduced calorie)1
Stern 2004 (59,60)132; Morbidly obeseUSYesNHLBI (30% fat; reducedcalorie)Low-carbohydrate1
Swinburn 2001(28)176; GlucoseintoleranceNewZealandNoReduce fatUsual diet5
Tapsell 2004(22)63; Type 2 diabetesAustraliaNo27% fat37% fat1
Tehran Lipidand GlucoseStudy (61)100;Overweight/obeseIranYes20% fat (reduced calorie)30% fat (reduced calorie)1.2
Turner-McGrievy 2007(62)64;Overweight/obesepostmenopausalwomenUSYesVegan (10% fat)National CholesterolEducation Program (<30%fat)2
Viegener 1990(63)85;Overweight/obesewomenUSYes15–25% fat (reduced calorie)30% fat (reduced calorie)1
Women’sHealth InitiativeDietaryModificationTrial (32)48835;PostmenopausalwomenUSMaintain20% fatUsual diet7.5
Women’sHealth TrialVanguard Study(27)303; Women at highbreast cancer riskUSNo20% fatUsual diet2
Women’sHealthy Eatingand Living(WHEL) (9)3088; Women withprevious breastcancerUSNo15–20% fatUSDA guidelines (<30% fat)7.3
Women’sInterventionNutrition Study(WINS) (8)2437; Women withbreast cancerUSNo15% fatGeneral counseling onnutritional adequacy5
Women’sInterventionNutrition Study(WINS)Feasibility (10)290; Women withpostmenopausalbreast cancerUSNo20% fatGeneral counseling onnutritional adequacy1.5
Wood 1991 (64)294;Overweight/obeseUSYesNational CholesterolEducation Program (<30%fat; reduced calorie)Usual diet1
The low-fat dietary interventions ranged from very low-fat ≤10% of calories from fat, to more moderate goals of ≤30% of calories from fat. Comparator diets of higher fat intake were diverse, ranging from a single baseline interaction with instructions to maintain “usual diet”, to a variety of other dietary interventions, including low-carbohydrate and other moderate-to-high-fat diets. The intensity of the interventions varied from pamphlets or instructions given at baseline only, to multicomponent programs integrating counseling sessions, regular meetings with dieticians, food diaries, cooking lessons, etc., to feeding studies, in which participants were given a significant portion of their food. Caloric restriction was a component of many weight loss interventions, but not all. For example, despite being a weight loss intervention, a low-carbohydrate Atkins-style diet is often ad libitum (i.e., eat until satiated). Our primary meta-analysis included 68,128 adults from eligible randomized clinical trials, reporting a mean weight loss of 2.71 kg (SD=2.8) after a median of 1 year of follow-up, and 3.75 kg (SD=2.7) among weight loss trials. Figure 2 presents the overall results according to weight loss trial design (yes, no, or maintain) and composition of comparator intervention (low-carbohydrate, other higher fat intervention, or usual diet). No difference between low-fat and higher fat dietary interventions was observed when all weight loss trials were combined, although there was significant between-study heterogeneity. Low-carbohydrate weight loss interventions led to an average 1.15 kg greater long-term weight loss than low-fat weight loss interventions, with minimal between-study heterogeneity. No difference, however, was observed between low-fat and other higher fat dietary interventions. Compared with groups only following their usual diet, low-fat weight loss interventions led to 5.41 kg greater weight loss. Non-weight loss trials and weight maintenance trials also found a significant but smaller magnitude of weight loss in low-fat interventions when compared with usual diet, and no difference between low-fat and other higher fat dietary interventions. No long-term non-weight loss or weight maintenance trials compared low-fat with low-carbohydrate dietary interventions.
Figure 2

Random effects pooled weighted mean difference (kg) for low-fat vs. comparator dietary interventions from 53 randomized trials reporting at least 1 year of follow-up, by weight loss intention and comparator intervention.

Table 2 presents analyses stratified by additional trial characteristics, limited to trials of similar intensity to minimize bias from one group receiving more attention and higher intervention intensity. Only 4 of the 17 comparisons among trials without a weight loss goal (13, 22, 24) and 1 of the 6 comparisons among weight maintenance trials (31) remained, limiting our ability to stratify further; thus, Table 2 includes weight loss trials only, which trended towards greater weight loss for higher fat interventions. Stratifying by caloric restriction indicated no significant difference in weight loss between low-fat and higher fat dietary weight loss interventions when interventions were concordant for caloric restriction. Calorie-restricted low-fat diets, however, fared significantly worse compared with non-calorie restricted higher fat interventions. Results were similar for weight loss trials among participants with or without a specific chronic disease at baseline (e.g., breast cancer).
Table 2

Random effects pooled weighted mean difference (kg) for low-fat vs. comparator dietary interventions from 36 randomized weight loss trials reporting at least 1 year of follow-up, stratified by trial characteristics.

N ComparisonsWMD (95% CI)p-valueI2 (p-value for heterogeneity)
Weight Loss Goal
    Similar Intervention Intensity330.62 (−0.08, 1.32)0.08471.6% (p<0.0001)
        Comparator Diet
        Low-Carbohydrate181.15 (0.52, 1.79)<0.00110.4% ( p=0.33)
        Other Higher Fat Intervention190.36 (−0.66, 1.37)0.4982.0% (p<0.0001)
        Usual Diet0----
        Caloric Restriction
        Both Interventions180.74 (−0.19, 1.68)0.1278.4% (p <0.0001)
        Neither Intervention80.33 (−1.18, 1.83)0.6765.1% (p=0.005)
        Low-Fat Only61.49 (0.53, 2.45)0.0027.7% (p=0.37)
        Comparator Only5−0.62 (−1.95, 0.72)0.3715.5% (p=0.32)
        Chronic Disease Population
        No250.77 (−0.15, 1.69)0.1076.1% (p <0.0001)
        Yes80.37 (−0.33, 1.07)0.3010.3% (p=0.35)
        Difference in Fat Intake at Follow-up (% Calories)
        <5% Difference in Fat Intake80.14 (−0.80, 1.09)0.7730.1% ( p=0.19)
        ≥5% Difference in Fat Intake181.04 (0.06, 2.03)0.03877.7% (p<0.0001)
        Difference in Triglycerides at Follow-up (mg/dL Change)
        <5 mg/dL Change Difference8−0.21 (−0.86, 0.43)0.520.0% (p =0.92)
        ≥5 mg/dL Greater Change in Low-Fat Group171.38 (0.50, 2.25)0.00262.3% (p<0.0001)
No Weight Loss Goal
    Similar Intervention Intensity4−1.71 (−4.52, 1.10)0.2359.3% (p=0.061)
        Comparator Diet
        Low-Carbohydrate0------
        Other Higher Fat Intervention4−1.71 (−4.52, 1.10)0.2359.3% (p=0.061)
        Usual Diet0----
        Caloric Restriction
        Both Interventions0----
        Neither Intervention2−1.47 (−5.85, 2.91)0.5176.3% (p=0.04)
        Low-Fat Only0----
        Comparator Only0----
        Chronic Disease Population
        No0----
        Yes4−1.71 (−4.52, 1.10)0.2359.3% (p=0.061)
        Difference in Fat Intake at Follow-up (% Calories)
        <5% Difference in Fat Intake1NANANA
        ≥5% Difference in Fat Intake2−2.18 (−6.19, 1.83)0.2945.0% (p=0.18)
        Difference in Triglycerides at Follow-up (mg/dL Change)
        <5 mg/dL Change Difference1NANANA
        ≥5 mg/dL Greater Change in Low-Fat Group1NANANA

WMD=DerSimonian and Laird random effects weighted mean difference, in kg; Negative value favors low-fat dietary intervention; Positive value favors higher fat comparator intervention

When groups differed by >5% calories from fat at follow-up, higher fat led to significantly greater weight loss than low-fat weight loss interventions. Similarly, weight loss trials with a ≥5 mg/dL greater change in triglycerides for low-fat vs. higher fat interventions, led to significantly greater weight loss for the higher fat groups. Excluding the Women’s Health Initiative trial (96.90% of weight) from weight maintenance trials, did not impact findings (n=5; WMD=-0.77 kg, 95% CI=-1.50 to −0.04, p=0.039; I2=0.0%, p-heterogeneity=0.95). Results were similar when restricted studies conducting to intention-to-treat analyses (Appendix pages 3–4) and when excluding smaller trials of <100 total participants, although few non-weight loss or weight maintenance trials remained eligible according to these criteria. The fixed effect meta-analysis (Appendix pages 5–6), which gives less weight to smaller trials with greater variance, estimated 0.44 kg greater weight loss for the comparator vs. low-fat interventions among the weight loss trials. Fixed effect analyses stratified by comparator group also indicated greater weight loss for “other higher fat interventions” vs. low-fat in trials with and without a weight loss goal, which showed no difference in the random effects analysis. Results from the Cochrane risk of bias assessment tool (Appendix pages 10–12) were variable and evaluation was limited for many studies by a lack of reporting. Incomplete outcome data was a high potential source of bias for 39 trials due to dropout and lost-to-follow-up rates exceeding 5%. Differential intervention intensity was deemed a source of bias for 20 trials. Both the Begg and Egger’s tests for small-study effects did not indicate publication bias (p=0.83 and p=0.85, respectively). Visual inspection of the funnel plot demonstrated an approximately symmetrical distribution of the inverse variances, which is consistent with these findings (Appendix page 13).

Discussion

Results from this comprehensive meta-analysis of RCTs with at least 1 year of follow-up indicate low-fat dietary interventions do not lead to greater weight loss when compared with higher fat dietary interventions of similar intensity, regardless of the weight loss intention of the trial. In fact, in the setting of weight loss trials, higher fat, low-carbohydrate dietary interventions led to a modest but significant greater long-term weight loss than low-fat interventions. Other higher fat dietary interventions led to similar weight loss as the low-fat groups, whether the trial had a weight loss goal or not. Low-fat interventions were favored only in comparison with interventions of lesser intensity, particularly those in which controls were only asked to maintain their usual diet. Furthermore, trials achieving greater differences in dietary fat intake and serum triglyceride concentrations resulted in greater weight loss under the higher fat interventions. Although these are not perfect measures of dietary fat intake, given the potential for measurement error in self-reported diet and confounding by weight loss for triglycerides as a marker of fat intake, results were consistent between these two methods. This systematic literature review and meta-analysis highlights several important points. First, of the 53 eligible RCTs, 19 included higher fat comparator groups which maintained their usual intake, while the low-fat groups underwent interventions with more frequent and/or more intense interaction with research staff. Such comparisons do not provide evidence to support the effect of the low-fat diets themselves, since the effect of lowering total fat intake cannot be distinguished from the other components of the intervention. Stratifying by this type of comparator group (Figure 2), it is clear that lowering fat intake was not an independent contributor to weight loss. Second, despite concerted efforts among motivated clinical trial participants and staff, the average weight loss in all groups after a median 1 year of follow-up was a modest 2.7 kg, and 3.8 kg when calculated among weight loss trials only. Our findings contrast with the findings of a previous systematic review and meta-analysis, which concluded that reduction in total fat intake leads to clinically meaningful weight loss, reporting 1.57 kg (95% CI=1.97 to 1.16) greater weight loss for low-fat vs. other diet interventions.(33) The main differences in their study selection criteria from ours were their inclusion of trials with <1 year of follow-up and their deliberate exclusion of trials with any weight loss intention. Trials of short duration (e.g. 6 months) are unlikely to demonstrate effects representative of long-term effects of diet on weight. Additionally, evaluating low-fat diets for weight loss exclusively among trials without a weight loss goal excluded a substantial proportion of the available literature, giving a pooled estimate that was over-weighted by trials comparing low-fat with “usual diet”, as well as trials conducted among populations at high risk for specific non-body weight related endpoints of interest (e.g., cholesterol-lowering, breast cancer prevention, etc). In our current meta-analysis among trials without a weight loss goal and at least 1 year duration, we found that after removing comparisons between low-fat and “usual diet”, low-fat interventions did not lead to greater weight loss that higher fat interventions (n=7; WMD=0.26 kg, 95% CI=-0.39 to 0.91). In fact, of the 33 trials included in their overall analysis, only 8 comparisons were conducted among trials giving similar attention to the low-fat and comparator treatment arms, and only 1 of these lasted at least 1 year. Furthermore, only 3 were among healthy participants. Therefore, generalizability of their findings to overall populations intending to lose weight is highly questionable, and their estimated effects of reducing fat intake are likely to be seriously confounded by differences in comparator group intensity, which was demonstrated to be a major source of heterogeneity in our analysis. Johnston, et al, conducted a network meta-analysis among trials comparing named popular diet programs.(34) Pooling both direct (i.e., head-to-head comparison of two interventions within a single RCT) and indirect comparison (i.e., non-randomized comparisons of two intervention effects derived from separate trials) produced estimates similar to ours, indicating significant weight loss at 12 months for low-fat interventions compared with “usual diet”, and no significant benefit when compared with other dietary interventions of similar intensity. Limitations of indirect comparisons, however, include the inability to control for between-study and between-participant differences that may confound the pooled estimates. Another recent meta-analysis evaluated 13 trials of low-fat vs. very low-carbohydrate diet interventions with at least 12 months of follow-up.(35) Their pooled estimate indicated a 0.91 kg (95% CI=1.65 to 0.17) greater weight loss for very low-carbohydrate compared with low-fat diet interventions, consistent with our pooled estimate of 1.15 kg for low-carbohydrate vs. low-fat weight loss interventions. A limitation of this meta-analysis is the substantial heterogeneity within several strata, indicating inconsistent effects across studies. Heterogeneity to some degree would be expected given the various intervention designs, baseline characteristics of the participants, and comparator diets. Stratified analyses reduced heterogeneity in many cases. Additionally, our manuscript did not have a pre-published protocol, and our search was limited to English language publications, did not include other potential databases, or a search of grey literature, which may have missed trials. Finally, the majority of RCTs of ≥1 year duration were not feeding trials, since large-scale long-term trials of this nature can be costly; therefore, our analysis addresses the effectiveness of dietary interventions, and not necessarily the diets themselves. The strength of evidence of the literature included in this systematic review is variable with a high concern for attrition bias from significant drop-out and loss-to-follow-up rates in the majority of trials. Retaining participants for long-term lifestyle interventions can be difficult and bias is a concern when attrition is related to intervention assignment. Other bias measures were difficult to assess as a whole, without details of methods for randomization and allocation concealment, and whether staff members measuring outcomes were blinded. Findings from our systematic literature review and meta-analysis of RCTs fail to support the efficacy of low-fat diet interventions over higher fat diet interventions of similar intensity for significant long-term clinically meaningful weight control. Previous trials comparing low-fat diet interventions with “usual diet” or minimal intensity control groups have mislead perceptions of the efficacy of reductions in fat intake as a strategy for long-term weight loss. In fact, comparisons of similar intervention intensity conclude that dietary interventions lower in total fat intake lead to significantly less weight loss compared with higher fat, low-carbohydrate diets. Health and nutrition guidelines should cease recommending low-fat diets for weight loss given the clear lack of long-term efficacy over other similar intensity dietary interventions. Additional research is needed to identify optimal intervention strategies for long-term weight loss and weight maintenance, including the need to look beyond variations in macronutrient composition.
  62 in total

1.  Long-term effects of popular dietary approaches on weight loss and features of insulin resistance.

Authors:  K A McAuley; K J Smith; R W Taylor; R T McLay; S M Williams; J I Mann
Journal:  Int J Obes (Lond)       Date:  2006-02       Impact factor: 5.095

2.  Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women.

Authors:  Karen E Foster-Schubert; Catherine M Alfano; Catherine R Duggan; Liren Xiao; Kristin L Campbell; Angela Kong; Carolyn E Bain; Ching-Yun Wang; George L Blackburn; Anne McTiernan
Journal:  Obesity (Silver Spring)       Date:  2011-04-14       Impact factor: 5.002

3.  Long-term effects of 2 energy-restricted diets differing in glycemic load on dietary adherence, body composition, and metabolism in CALERIE: a 1-y randomized controlled trial.

Authors:  Sai Krupa Das; Cheryl H Gilhooly; Julie K Golden; Anastassios G Pittas; Paul J Fuss; Rachel A Cheatham; Stephanie Tyler; Michelle Tsay; Megan A McCrory; Alice H Lichtenstein; Gerard E Dallal; Chhanda Dutta; Manjushri V Bhapkar; James P Delany; Edward Saltzman; Susan B Roberts
Journal:  Am J Clin Nutr       Date:  2007-04       Impact factor: 7.045

4.  Feasibility of a randomized trial of a low-fat diet for the prevention of breast cancer: dietary compliance in the Women's Health Trial Vanguard Study.

Authors:  M M Henderson; L H Kushi; D J Thompson; S L Gorbach; C K Clifford; W Insull; M Moskowitz; R S Thompson
Journal:  Prev Med       Date:  1990-03       Impact factor: 4.018

5.  Mediterranean diets and metabolic syndrome status in the PREDIMED randomized trial.

Authors:  Nancy Babio; Estefanía Toledo; Ramón Estruch; Emilio Ros; Miguel A Martínez-González; Olga Castañer; Mònica Bulló; Dolores Corella; Fernando Arós; Enrique Gómez-Gracia; Valentina Ruiz-Gutiérrez; Miquel Fiol; José Lapetra; Rosa M Lamuela-Raventos; Lluís Serra-Majem; Xavier Pintó; Josep Basora; José V Sorlí; Jordi Salas-Salvadó
Journal:  CMAJ       Date:  2014-10-14       Impact factor: 8.262

6.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

7.  A randomized controlled trial of a moderate-fat, low-energy diet compared with a low fat, low-energy diet for weight loss in overweight adults.

Authors:  K McManus; L Antinoro; F Sacks
Journal:  Int J Obes Relat Metab Disord       Date:  2001-10

8.  Diet and exercise weight-loss trial in lactating overweight and obese women.

Authors:  Fredrik Bertz; Hilde K Brekke; Lars Ellegård; Kathleen M Rasmussen; Margareta Wennergren; Anna Winkvist
Journal:  Am J Clin Nutr       Date:  2012-09-05       Impact factor: 7.045

9.  Comparison of the Atkins, Zone, Ornish, and LEARN diets for change in weight and related risk factors among overweight premenopausal women: the A TO Z Weight Loss Study: a randomized trial.

Authors:  Christopher D Gardner; Alexandre Kiazand; Sofiya Alhassan; Soowon Kim; Randall S Stafford; Raymond R Balise; Helena C Kraemer; Abby C King
Journal:  JAMA       Date:  2007-03-07       Impact factor: 56.272

10.  One-year comparison of a high-monounsaturated fat diet with a high-carbohydrate diet in type 2 diabetes.

Authors:  Bonnie J Brehm; Barbara L Lattin; Suzanne S Summer; Jane A Boback; Gina M Gilchrist; Ronald J Jandacek; David A D'Alessio
Journal:  Diabetes Care       Date:  2008-10-28       Impact factor: 19.112

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  92 in total

Review 1.  Current treatments for obesity.

Authors:  Aruchuna Ruban; Kostadin Stoenchev; Hutan Ashrafian; Julian Teare
Journal:  Clin Med (Lond)       Date:  2019-05       Impact factor: 2.659

2.  Starch Digestion-Related Amylase Genetic Variant Affects 2-Year Changes in Adiposity in Response to Weight-Loss Diets: The POUNDS Lost Trial.

Authors:  Yoriko Heianza; Dianjianyi Sun; Tiange Wang; Tao Huang; George A Bray; Frank M Sacks; Lu Qi
Journal:  Diabetes       Date:  2017-06-28       Impact factor: 9.461

3.  Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation.

Authors:  Pablo Pérez-Martínez; Dimitri P Mikhailidis; Vasilios G Athyros; Mónica Bullo; Patrick Couture; María I Covas; Lawrence de Koning; Javier Delgado-Lista; Andrés Díaz-López; Christian A Drevon; Ramón Estruch; Katherine Esposito; Montserrat Fitó; Marta Garaulet; Dario Giugliano; Antonio García-Ríos; Niki Katsiki; Genovefa Kolovou; Benoît Lamarche; Maria Ida Maiorino; Guillermo Mena-Sánchez; Araceli Muñoz-Garach; Dragana Nikolic; José M Ordovás; Francisco Pérez-Jiménez; Manfredi Rizzo; Jordi Salas-Salvadó; Helmut Schröder; Francisco J Tinahones; Rafael de la Torre; Ben van Ommen; Suzan Wopereis; Emilio Ros; José López-Miranda
Journal:  Nutr Rev       Date:  2017-05-01       Impact factor: 7.110

4.  Updated Cardiovascular Prevention Guideline of the Brazilian Society of Cardiology - 2019.

Authors:  Dalton Bertolim Précoma; Gláucia Maria Moraes de Oliveira; Antonio Felipe Simão; Oscar Pereira Dutra; Otávio Rizzi Coelho; Maria Cristina de Oliveira Izar; Rui Manuel Dos Santos Póvoa; Isabela de Carlos Back Giuliano; Aristóteles Comte de Alencar Filho; Carlos Alberto Machado; Carlos Scherr; Francisco Antonio Helfenstein Fonseca; Raul Dias Dos Santos Filho; Tales de Carvalho; Álvaro Avezum; Roberto Esporcatte; Bruno Ramos Nascimento; David de Pádua Brasil; Gabriel Porto Soares; Paolo Blanco Villela; Roberto Muniz Ferreira; Wolney de Andrade Martins; Andrei C Sposito; Bruno Halpern; José Francisco Kerr Saraiva; Luiz Sergio Fernandes Carvalho; Marcos Antônio Tambascia; Otávio Rizzi Coelho-Filho; Adriana Bertolami; Harry Correa Filho; Hermes Toros Xavier; José Rocha Faria-Neto; Marcelo Chiara Bertolami; Viviane Zorzanelli Rocha Giraldez; Andrea Araújo Brandão; Audes Diógenes de Magalhães Feitosa; Celso Amodeo; Dilma do Socorro Moraes de Souza; Eduardo Costa Duarte Barbosa; Marcus Vinícius Bolívar Malachias; Weimar Kunz Sebba Barroso de Souza; Fernando Augusto Alves da Costa; Ivan Romero Rivera; Lucia Campos Pellanda; Maria Alayde Mendonça da Silva; Aloyzio Cechella Achutti; André Ribeiro Langowiski; Carla Janice Baister Lantieri; Jaqueline Ribeiro Scholz; Silvia Maria Cury Ismael; José Carlos Aidar Ayoub; Luiz César Nazário Scala; Mario Fritsch Neves; Paulo Cesar Brandão Veiga Jardim; Sandra Cristina Pereira Costa Fuchs; Thiago de Souza Veiga Jardim; Emilio Hideyuki Moriguchi; Jamil Cherem Schneider; Marcelo Heitor Vieira Assad; Sergio Emanuel Kaiser; Ana Maria Lottenberg; Carlos Daniel Magnoni; Marcio Hiroshi Miname; Roberta Soares Lara; Artur Haddad Herdy; Cláudio Gil Soares de Araújo; Mauricio Milani; Miguel Morita Fernandes da Silva; Ricardo Stein; Fernando Antonio Lucchese; Fernando Nobre; Hermilo Borba Griz; Lucélia Batista Neves Cunha Magalhães; Mario Henrique Elesbão de Borba; Mauro Ricardo Nunes Pontes; Ricardo Mourilhe-Rocha
Journal:  Arq Bras Cardiol       Date:  2019-11-04       Impact factor: 2.000

Review 5.  Japanese Clinical Practice Guideline for Diabetes 2019.

Authors:  Eiichi Araki; Atsushi Goto; Tatsuya Kondo; Mitsuhiko Noda; Hiroshi Noto; Hideki Origasa; Haruhiko Osawa; Akihiko Taguchi; Yukio Tanizawa; Kazuyuki Tobe; Narihito Yoshioka
Journal:  Diabetol Int       Date:  2020-07-24

Review 6.  The Science of Obesity Management: An Endocrine Society Scientific Statement.

Authors:  George A Bray; William E Heisel; Ashkan Afshin; Michael D Jensen; William H Dietz; Michael Long; Robert F Kushner; Stephen R Daniels; Thomas A Wadden; Adam G Tsai; Frank B Hu; John M Jakicic; Donna H Ryan; Bruce M Wolfe; Thomas H Inge
Journal:  Endocr Rev       Date:  2018-04-01       Impact factor: 19.871

Review 7.  The Carbohydrate-Insulin Model of Obesity: Beyond "Calories In, Calories Out".

Authors:  David S Ludwig; Cara B Ebbeling
Journal:  JAMA Intern Med       Date:  2018-08-01       Impact factor: 21.873

8.  Mediators of intervention effects on dietary fat intake in low-income overweight or obese women with young children.

Authors:  Mei-Wei Chang; Alai Tan; Jiying Ling; Duane T Wegener; Lorraine B Robbins
Journal:  Appetite       Date:  2020-04-10       Impact factor: 3.868

Review 9.  More sugar? No, thank you! The elusive nature of low carbohydrate diets.

Authors:  Dario Giugliano; Maria Ida Maiorino; Giuseppe Bellastella; Katherine Esposito
Journal:  Endocrine       Date:  2018-03-19       Impact factor: 3.633

10.  Japanese Clinical Practice Guideline for Diabetes 2019.

Authors:  Eiichi Araki; Atsushi Goto; Tatsuya Kondo; Mitsuhiko Noda; Hiroshi Noto; Hideki Origasa; Haruhiko Osawa; Akihiko Taguchi; Yukio Tanizawa; Kazuyuki Tobe; Narihito Yoshioka
Journal:  J Diabetes Investig       Date:  2020-07       Impact factor: 4.232

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