Lipids201045:3393

DOI: 10.1007/s11745-010-3393-4

Saturated Fat and Cardiometabolic Risk Factors, Coronary Heart Disease, Stroke, and Diabetes: a Fresh Look at the Evidence

Renata Micha1 and Dariush Mozaffarian1, 2  
(1)
Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
(2)
Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, 665 Huntington Ave Bldg 2-319, Boston, MA 02115, USA
 
 
Dariush Mozaffarian
Received: 3 December 2009Accepted: 27 January 2010Published online: 31 March 2010
© The Author(s) 2010

Abstract

Dietary and policy recommendations frequently focus on reducing saturated fatty acid consumption for improving cardiometabolic health, based largely on ecologic and animal studies. Recent advances in nutritional science now allow assessment of critical questions about health effects of saturated fatty acids (SFA). We reviewed the evidence from randomized controlled trials (RCTs) of lipid and non-lipid risk factors, prospective cohort studies of disease endpoints, and RCTs of disease endpoints for cardiometabolic effects of SFA consumption in humans, including whether effects vary depending on specific SFA chain-length; on the replacement nutrient; or on disease outcomes evaluated. Compared with carbohydrate, the TC:HDL-C ratio is nonsignificantly affected by consumption of myristic or palmitic acid, is nonsignificantly decreased by stearic acid, and is significantly decreased by lauric acid. However, insufficient evidence exists for different chain-length-specific effects on other risk pathways or, more importantly, disease endpoints. Based on consistent evidence from human studies, replacing SFA with polyunsaturated fat modestly lowers coronary heart disease risk, with ~10% risk reduction for a 5% energy substitution; whereas replacing SFA with carbohydrate has no benefit and replacing SFA with monounsaturated fat has uncertain effects. Evidence for the effects of SFA consumption on vascular function, insulin resistance, diabetes, and stroke is mixed, with many studies showing no clear effects, highlighting a need for further investigation of these endpoints. Public health emphasis on reducing SFA consumption without considering the replacement nutrient or, more importantly, the many other food-based risk factors for cardiometabolic disease is unlikely to produce substantial intended benefits.

Keywords

Cardiovascular disease Diabetes mellitus Diet Nutrition Saturated fatty acids Fatty acids

Abbreviations

BMI: 

Body mass index

CHD: 

Coronary heart disease

CHO: 

Carbohydrate

CRP: 

C-reactive protein

CVD: 

Cardiovascular disease

FMD: 

Flow-mediated dilatation

FSIGTT: 

Frequently sampled intravenous glucose tolerance test

GLP-1: 

Glucagon-like peptide-1

HBA1c: 

Glycosylated hemoglobin

HDL: 

High-density lipoprotein

HOMA: 

Homeostasis model assessment

IL: 

Interleukin

LA: 

Linoleic acid

LDL: 

Low-density lipoprotein

MCP: 

Monocyte chemoattractant protein

MUFA: 

Monounsaturated fatty acids

PUFA: 

Polyunsaturated fatty acids

PWV: 

Pulse wave velocity

RCT: 

Randomized controlled trial

SFA: 

Saturated fatty acids

TC: 

Total cholesterol

TFA: 

Trans fatty acids

TNF: 

Tumor necrosis factor

USFA: 

Unsaturated fatty acids

WHI: 

Women’s Health Initiative

%E: 

Percentage of total energy intake

Introduction

Reducing the consumption of saturated fatty acids (SFA) is a pillar of international dietary recommendations to reduce the risk of cardiovascular disease (CVD) [13]. The World Health Organization and the US Dietary Guidelines recommend consuming less than 10%E (percentage of total energy intake) from SFA [4], and the American Heart Association less than 7%E [3]. The strong focus on SFA as a risk factor for CVD originated in the 1960s and 1970s from lines of evidence including ecologic studies across nations, short-term metabolic trials in generally healthy adults assessing total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), and animal experiments that together appeared to provide consistent support that SFA intake increased the risk of coronary heart disease (CHD).

However, several critical questions have remained about the relationship between SFA consumption and CVD risk. First, do health effects of reducing SFA consumption vary depending on whether the replacement nutrient is carbohydrate (CHO), monounsaturated fat (MUFA), or polyunsaturated fat (PUFA)? A historical emphasis on low fat diets has produced drops in SFA consumption in the US and many other nations, but with concomitant increases in CHO, rather than MUFA or PUFA, as the replacement nutrient [1]. Is there strong evidence to support this dietary strategy? Second, do health effects of SFA vary depending on the chain-length, i.e. comparing 12-, 14-, 16-, and 18-carbon SFA? Current dietary recommendations generally focus on overall SFA consumption, without strong attention on specific SFA. Third, what is the relationship between SFA consumption and risk of stroke and type 2 diabetes mellitus? Historically, research on SFA has focused largely on CHD.

Advances in nutritional science in the last two decades now provide a substantial body of evidence to answer these questions (Fig. 1). These include well-conducted randomized controlled trials (RCTs) of SFA nutrient substitutions and multiple risk pathways as endpoints, including multiple lipid and also non-lipid risk factors (rather than only TC and LDL-C); and large prospective cohort studies and meta-analyses of RCTs of SFA consumption and clinical disease endpoints, that provide more direct evidence for effects on disease compared with changes in risk factors alone. Given the complementary strengths and limitations of these newer research paradigms, conclusions can be considered most robust when studies from each paradigm provide concordant evidence for health effects of SFA consumption. Together these research advances provide much stronger evidence for causal inference than data from prior available ecologic studies, limited metabolic studies, and animal experiments.

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Fig. 1

Advances in nutritional science research paradigms. For causal inference about how dietary habits affect chronic disease, the best evidence is derived from randomized controlled trials (RCTs) of multiple risk pathways, observed differences in disease endpoints in prospective cohort studies, and effects on disease endpoints in RCTs. Conclusions can be considered most robust when these complementary lines of evidence provide concordant results. Adapted with permission from Harris, Mozaffarian, et al. 2009 [90]

To elucidate the effects of SFA consumption on CVD risk based on the most current evidence, we reviewed the data from RCTs of multiple risk factors, large prospective cohort studies of disease endpoints, and RCTs of disease endpoints. When sufficient evidence was available, we particularly focused on the potentially different health effects of varying the replacement nutrient; of different chain-length SFA; and of specific effects on CHD, stroke, and diabetes.

Methods

Two investigators independently reviewed the literature for English-language articles published through Sep 2009 by performing searches of Medline, hand-searching of citation lists, and direct contact with experts. Inclusion criteria were any RCT or observational study in adults evaluating SFA consumption and the risk of CHD, stroke, or type 2 diabetes and related risk pathways, including lipids and lipoproteins, systemic inflammation, vascular function, and insulin resistance (1,254 identified articles). Search terms included “saturated fat(s)”, “lipoproteins”, “inflammation”, “blood pressure”, “vascular function”, “insulin resistance”, “cardiovascular diseases”, and “diabetes mellitus”. We focused on identifying RCTs of major risk factors, large prospective cohort studies of disease endpoints, and RCTs of disease endpoints, given strengths of these designs and their complementary limitations. We excluded a priori animal experiments, ecological studies, commentaries, general reviews, and case reports. Studies were independently considered by the two investigators for inclusion; rare differences were resolved by consensus.

Effects on Cardiovascular Risk Factors

Lipids and Lipoproteins

RCTs have established clear multiple effects of SFA consumption on circulating lipids and lipoproteins [5, 6]. Each of these effects varies depending on the comparison nutrient, i.e., the nutrient isocalorically replaced for SFA (Fig. 2). Compared with CHO, SFA intake raises TC and LDL-C, but also lowers triglycerides and raises high-density lipoprotein cholesterol (HDL-C). Given these conflicting directions of effects, effects on apolipoproteins or, even better, a more global risk marker such as the TC:HDL-C ratio may provide the best overall indication of potential effects on CHD risk. Compared with CHO, SFA intake has no significant effects on the TC:HDL-C ratio or ApoB levels, and raises ApoA1 levels. In contrast, consumption of PUFA or MUFA in place of SFA leads to lowering of TC, LDL-C, and ApoB; slight lowering (for PUFA) of HDL-C and ApoA1; little effect on triglycerides; and lowering of the TC:HDL-C ratio. Compared with trans fatty acids (TFA), SFA intake has minimal effects on LDL-C but raises HDL-C and lowers triglycerides and lipoprotein(a), with improvement in the TC:HDL-C ratio [7]. Thus, consideration of which nutrient is being replaced is essential when considering lipid effects or designing dietary guidelines or policy measures related to SFA consumption. Overall, the changes in lipid and apolipoprotein levels predict minimal effects on CHD risk when CHO replaces SFA, benefits when PUFA or MUFA replace SFA, and harms when TFA replace SFA.

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Fig. 2

Changes in blood lipid levels for consumption of saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), or trans fatty acids (TFA) as an isocaloric replacement for carbohydrate (CHO) as a reference, based on two meta-analyses of randomized controlled feeding trials [5, 6]. β reflects the change for each 1% energy isocaloric replacement; *P < 0.05

Effects of SFA consumption on serum lipids and lipoproteins further vary according to which specific SFA is consumed (Fig. 3) [5]. With CHO consumption as the reference, lauric (12:0), myristic (14:0), and palmitic (16:0) acid raise TC and LDL-C, whereas stearic acid (18:0) does not. All SFA raise HDL-C, but HDL-raising effects are greater as chain-length decreases. Overall, the TC:HDL-C ratio is not significantly affected by myristic or palmitic acid consumption, is nonsignificantly decreased by stearic acid consumption, and is significantly decreased by lauric acid consumption (Fig. 3). These effects suggest little CHD benefit of replacing myristic, palmitic, or stearic acid with CHO, and potential harm of replacing lauric acid with CHO.

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Fig. 3

Changes in blood lipid levels for consumption of different chain-length saturated fatty acids (SFA) as an isocaloric replacement for carbohydrate (CHO), based on meta-analysis of randomized controlled feeding trials [5]. β reflects the change for each 1% energy isocaloric replacement; *P < 0.05

Systemic Inflammation

Inflammation independently increases risk of CVD and diabetes [811]. Compared with lipid effects, the influence of SFA consumption on inflammation is less well investigated, with mixed results. In a randomized cross-over trial, 20 healthy men consumed a high SFA (22%E SFA), a high MUFA (24%E MUFA), and a high CHO high PUFA (55%E CHO, 8%E PUFA) diet for 4 weeks [12]. At the end of each intervention period, participants were given a fat-rich breakfast (60%E fat) with similar fat composition to that of each diet. Consumption of a butter-rich breakfast (35%E SFA) had no effect on postprandial plasma levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6 or monocyte chemoattractant protein (MCP)-1, compared with an olive oil-rich breakfast (36%E MUFA) or a walnut-rich breakfast (16%E PUFA) [12]. In another cross-over trial of 50 healthy men, consumption of low-chain SFA (12:0–16:0) for 5 weeks (8%E) had no effect on fibrinogen, C-reactive protein (CRP), or IL-6 levels; similar consumption of stearic acid (18:0) increased plasma levels of fibrinogen, but not of CRP or IL-6, compared with CHO [13]. Among hypercholesterolemic subjects (n = 18), a one-month diet with 16.7%E from SFA (butter), compared with 12.5%E from PUFA (soybean oil), resulted in a trend toward higher macrophage production of TNF-α, without effects on IL-6 [14].

Observational studies investigating associations between SFA intake and markers of inflammation are limited [15, 16]. Among 4,900 US adults, dietary SFA intake was not cross-sectionally associated with CRP levels, after adjusting for other risk factors and lifestyle behaviors [15]. Other cross-sectional studies have been very small and/or not multivariable-adjusted [16]. Observational studies of circulating (e.g., plasma) or tissue (e.g., adipose) SFA levels [17, 18] are helpful for investigating effects of metabolism but not of SFA consumption, as circulating and tissue SFA are poorly reflective of dietary SFA due to endogenous synthesis and regulation by lipolysis, lipogenesis, and beta-oxidation [1922]. Overall, the limited and mixed evidence precludes strong conclusions about potential pro-inflammatory effects of SFA consumption.

Blood Pressure, Endothelial Function, and Arterial Stiffness

Effects of dietary SFA on markers of vascular function including blood pressure, endothelial function, and arterial stiffness are similarly not well characterized [23]. A few observational studies have evaluated SFA intake and incidence of hypertension, with mixed results [24, 25]. Among 30,681 US men followed for 4 years, no significant associations were seen between SFA intake and incident hypertension, after adjusting for age, body mass index, and alcohol consumption [24]. In contrast, among 11,342 US men in the MRFIT study, SFA intake was cross-sectionally positively associated with systolic and diastolic blood pressure, after adjusting for risk factors and lifestyle behaviors, although no adjustments were made for other dietary fats, CHO, or protein [25].

Randomized controlled feeding trials ranging in duration from 3 weeks to 6 months have demonstrated mixed results of SFA intake compared with MUFA, PUFA, TFA, or CHO on measures of blood pressure, endothelial dysfunction, and/or arterial stiffness [23] (Table 1). Among nine trials assessing blood pressure, seven observed no differences between the different diets [2634]. These trials evaluated a range of SFA consumption levels and replacement nutrients (Table 1). Improvements in BP were seen in two of five RCTs including a comparison to MUFA, one of five RCTs including a comparison to PUFA, and zero of four RCTs including a comparison to CHO. Among four trials assessing indices of endothelial function, three observed differences in brachial artery flow-mediated dilatation (FMD) between the different diets [31, 3537]. Improvements in endothelial function were seen in two of three RCTs including a comparison to MUFA, one RCT including a comparison to PUFA, and one of three RCTs including a comparison to CHO; endothelial function was worsened in one RCT replacing SFA with TFA. In two trials evaluating arterial stiffness as assessed by pulse wave velocity (PWV) [31, 37], no effects of reducing SFA consumption were seen, including two RCTs including a comparison to MUFA, one RCT including a comparison to PUFA, and two RCTs including a comparison to CHO. Thus, evidence for effects of SFA consumption on vascular function is mixed, with no clear pattern based on underlying population characteristics, SFA consumption levels, or the comparison nutrient, and with most studies suggesting no effects.

Table 1

Effects of saturated fatty acids on blood pressure, endothelial function, and arterial stiffness in human feeding trials

Study

Outcome

N

Duration

Design

Comparison

SFA replaced by

PUFA

MUFA

TFA

CHO

Margetts et al. [26]

Blood pressure

54

6 weeks

Cross-over

18%E SFA versus 15%E PUFA

   

Puska et al. [27]

Blood pressure

84

12 weeks

Parallel

11%E SFA versus 8%E PUFA

   

Sacks et al. [28]

Blood pressure

21

6 weeks

Cross-over

16%E SFA versus 14%E PUFA or 52%E CHO

  

Storm et al. [29]

Blood pressure

15

3 weeks

Cross-over

13%E 18:0 SFA versus 16%E 16:0 SFA or 51%E CHO

   

Piers et al. [30]

Blood pressure

8

4 weeks

Cross-over

24%E SFA versus 23%E MUFA

 

  

Sanders et al. [31]

Blood pressure

110

6 months

Parallel

17%E SFA versus 17%E MUFA or CHOa

 

 

Uusitupa et al. [33]

Blood pressure

159

6 months

Parallel

14%E SFA vs. 8%E PUFA, 11%E MUFA, or 53%E CHO

 

Lahoz et al. [32]

Blood pressure

42

5 weeks

Consecutive diets-non randomized

17%E SFA versus 21%E MUFA or 13%E PUFA

  

Rasmussen et al. [34]

Blood pressure

162

3 months

Parallel

18%E SFA versus 21%E MUFA

 

  

de Roos et al. [35]

Endothelial function – FMD

29

4 weeks

Cross-over

23%E SFA versus 9%E TFA

  

 

Fuentes et al. [36]

Endothelial function – FMD

22

4 weeks

Cross-over

20%E SFA versus 22%E MUFA or 57%E CHO

 

 

Keogh et al. [37]

Endothelial function – FMD

40

3 weeks

Cross-over

19%E SFA versus 19%E MUFA, 10%E PUFA, or 65%E CHO

 

Sanders et al. [31]

Endothelial function – FMD

110

6 months

Parallel

17%E SFA versus 17%E MUFA or CHOa

 

 

Keogh et al. [37]

Arterial stiffness – PWV

40

3 weeks

Cross-over

19%E SFA versus 19%E MUFA, 10%E PUFA, or 65%E CHO

 

Sanders et al. [31]

Arterial stiffness – PWV

110

6 months

Parallel

17%E SFA versus 17%E MUFA or CHOa

 

 

Direction of effect on reported outcome (↑ increased; ↓ decreased; ↔ no effect)

CHO carbohydrate, MUFA monounsaturated fatty acids, FMD brachial artery flow-mediated dilatation, PUFA polyunsaturated fatty acids, PWV pulse wave velocity, SFA saturated fatty acids, TFA trans fatty acids, %E percentage of total energy intake

a%E not reported

Insulin Resistance and Diabetes

SFA has been considered a risk factor for insulin resistance and diabetes mellitus [38], but review of the current evidence indicates surprisingly equivocal findings. SFA consumption inconsistently affects insulin resistance in controlled trials (Table 2) and has not been associated with incident diabetes in prospective cohort studies (Fig. 4) [3952]. Among generally healthy individuals, most RCTs show no differences in markers of glucose-insulin homeostasis comparing different intakes of SFA versus MUFA, PUFA, or CHO. Findings are more mixed among individuals having or predisposed to insulin resistance. In these individuals, improvements in markers of glucose-insulin homeostasis were seen in three of five RCTs including a comparison to MUFA, one of three RCTs including a comparison to PUFA, and one RCT including a comparison to CHO. Among all these trials, the great majority were short-term (up to several weeks) and surprisingly small (<20 subjects). The two largest trials (n = 162, n = 59) found SFA to worsen several indices of glucose-insulin homeostasis in comparison to MUFA (two trials) or CHO (one trial).

Table 2

Effects of saturated fatty acids on insulin resistance in human feeding trials

Study

Subjects

N

Duration

Design

Comparison

Outcomes and results

SFA replaced by

PUFA

MUFA

TFA

CHO

Individuals Predisposed to Insulin Resistance

 Christiansen et al. [42]

Obese (BMI 33.5 ± 1.2 kg/m2), type 2 diabetic, age 55 ± 3 years

Nine men; seven women

6 weeks

Cross-over

Three isocaloric diets: all 30%E fat, with 20%E from SFA, MUFA, or TFA

SFA versus MUFA: ↑ postprandial insulin by 78.9% and ↑ postprandial C-peptide by 41.8% (P < 0.05 for each)

SFA versus TFA: no significant effects on postprandial insulin and C-peptide

No significant effects on fasting insulin, fasting C-peptide, or fasting and postprandial glucose with any diet

 

 

 Vessby et al. [43]

Moderately overweight (BMI 26.5 ± 3 kg/m2), age 48.5 ± 7.8 years

86 men, 76 women

3 months

Parallel

Two isocaloric diets: both ~37%E fat, with 17.6%E SFA, or 21.2%E MUFA; each group was further randomized to 3.6 g of either omega-3 fatty acids or olive oil

SFA versus MUFA: ↓ insulin sensitivity by 23.8% (P = 0.05), and ↑ insulin levels by 30.3% (P = 0.06) during a FSIGTT

No significant effects on acute insulin response, or glucose levels during a FSIGTT with either diet

 

  

 Summers et al. [44]

Obese (BMI 37 ± 6 kg/m2), type 2 diabetic, age 53.7 ± 11 years

Eight men; nine women

5 weeks

Cross-over

Two diets: 42%E fat in SFA diet with 21%E from SFA, and 34%E fat in PUFA diet with 9%E from PUFA

SFA versus PUFA: ↓ insulin sensitivity by 20.3% (P = 0.02) during an euglycemic clamp

No significant effects on fasting glucose insulin, or triglycerides with either diet

   

 Vega-Lopez et al. [45]

Hyperlipidemic (LDL-cholesterol ≥ 130 mg/dl), moderately overweight (BMI 26 ± 2.4 kg/m2), age 63.9 ± 5.7 years

Five men; ten women

5 weeks

Cross-over

Four isocaloric diets: all ~30%E fat, with 20%E from partially hydrogenated soybean (4.2%E TFA), soybean (12.5%E PUFA), palm (14.8%E SFA), or canola (15.4%E MUFA)

SFA versus PUFA, MUFA, or TFA: no significant effects on fasting insulin, fasting glucose, or HOMA

 

 Paniagua et al. [46]

Obese (BMI 32.6 ± 7.8 kg/m2), insulin resistant (as assessed by OGTT), age 62.3 ± 9.4 years

Four men; seven women

28 days

Cross-over

Three isocaloric diets: 38%E fat and 47%E CHO in the two high-fat diets, with 23%E from SFA or MUFA, and 20%E fat and 65%E CHO in the low-fat diet (the latter as a replacement of SFA)

SFA versus MUFA: ↑ HBA1c (P < 0.01), ↑ fasting glucose by 9.6% (P < 0.05), ↑ HOMA by 17.2% (P < 0.01), ↑ fasting proinsulin by 26.1% (P < 0.05), no significant effects on postprandial glucose, postprandial insulin, or postprandial GLP-1

SFA vs. CHO: ↑ HBA1c by 6.3% (P < 0.01), ↑ fasting glucose by 9.3% (P < 0.05), ↓ postprandial glucose by 51% (P < 0.05), ↓ postprandial insulin by 53% (P < 0.05), ↑ postprandial GLP-1 by 134.6% (P < 0.05), no significant effects on HOMA or fasting proinsulin

No significant effects on fasting insulin or GLP-1, or the 60 min proinsulin:insulin ratio with any diet

 

 

 Lithander et al. [47]

Hyperlipidemic (LDL 3.0–5.0 mmol/L), moderately overweight (BMI 25.9 ± 4.2 kg/m2), age 39.7 ± 13.9 years

18 men

3 weeks

Cross-over

Two isocaloric diets, both 38%E fat: 18%E SFA, 10%E MUFA and 7%E PUFA in the high SFA:USFA diet, and 13%E SFA, 12%E MUFA and 8%E PUFA in the low SFA:USFA diet

SFA versus PUFA + MUFA: No significant effects on fasting adiponectin

  

Healthy individuals

 Schwab et al. [48]

Healthy, normal weight (BMI 21.4 ± 0.5 kg/m2), age 23.9 ± 1.2 years

11 women

4 weeks

Cross-over

Two isocaloric diets: all ~38%E fat, with 5%E from lauric acid (12:0 SFA), or 11.4%E from palmitic acid (16:0 SFA)

12:0 SFA versus 16:0 SFA: no significant effects on insulin, glucose, acute insulin response, or insulin sensitivity index during a FSIGTT with either diet

    

 Fasching et al. [49]

Healthy, normal weight (BMI 22.4 ± 1.8 kg/m2), age 26 ± 3.5 years

8 men

1 week

Cross-over

Four isocaloric diets: 54%E fat and 35%E CHO in the three high-fat diets with 31.5%E from SFA, 28%E from PUFA and 22%E from MUFA, and 25%E fat and 64%E CHO in the high CHO diet

SFA versus PUFA, MUFA, or CHO: no significant effects on insulin, glucose, acute insulin response, or insulin sensitivity index during a FSIGTT with any diet

 

 Louheranta et al. [50]

Healthy, normal weight (BMI 22.6 ± 0.6 kg/m2), age 22 ± 0.6 years

14 women

4 weeks

Cross-over

Two isocaloric diets: both ~38%E fat, with 18.5%E from SFA or MUFA

SFA versus MUFA: no significant effects on insulin, glucose, acute insulin response, or insulin sensitivity index during a FSIGTT with either diet

 

  

 Perez-Jimenez et al. [52]

Healthy, normal weight (BMI 22.87 ± 2.45 kg/m2), age 23.1 ± 1.8 years

30 men, 29 women

28 days

Cross-over

Baseline 28-day high SFA diet followed by Two randomized cross-over periods; all isocaloric diets: 38%E fat and 47%E CHO in the two high-fat diets, with 20%E from SFA or 22%E from MUFA, and 28%E fat and 57%E CHO in the low-fat diet (the latter as a replacement of SFA)

SFA versus MUFA: ↑ fasting insulin by 134%, ↑ fasting free fatty acids by 40.5%, ↑ mean steady-state plasma glucose by 21.9%, ↓ in vitro basal glucose uptake by 61.3%, and ↓ in vitro insulin-stimulated glucose uptake by 55.3% (P < 0.001 for each)

SFA versus CHO: ↑ fasting insulin by 119.7%, ↑ fasting free fatty acids by 40.5%, ↑ mean steady-state plasma glucose by 29%, ↓ in vitro basal glucose uptake by 57.1% %, and ↓ in vitro insulin-stimulated glucose uptake by 55.9% (P < 0.001 for each)

No significant effects on fasting glucose with any diet

 

 

 Lovejoy et al. [51]

Healthy, normal weight (BMI 23.5 ± 0.5 kg/m2), age 28 ± 2 years

12 men; 13 women

4 weeks

Cross-over

Three isocaloric diets: all 30%E fat, with 9%E from elaidic acid (TFA), oleic acid (MUFA), or palmitic acid (SFA)

SFA versus MUFA or TFA: no significant effects on insulin, glucose, acute insulin response, or insulin sensitivity index during a FSIGTT with any diet

 

 

Direction of effect on biomarkers of insulin resistance (↑increased; ↓ decreased; ↔ no effect). If even one biomarker was affected, this was considered an effect; this might overestimate the effects of these dietary changes as often many other biomarkers were unaffected (detailed results are also provided)

BMI body mass index, CHO carbohydrate, FSIGTT frequently sampled intravenous glucose tolerance test, GLP-1 glucagon-like peptide-1, HBA1c glycosylated hemoglobin, HOMA homeostasis model assessment, MUFA monounsaturated fatty acids, PUFA polyunsaturated fatty acids, SFA saturated fatty acids, TFA trans fatty acids, USFA unsaturated fatty acids, %E percentage of total energy intake

http://static-content.springer.com/image/art%3A10.1007%2Fs11745-010-3393-4/MediaObjects/11745_2010_3393_Fig4_HTML.gif
Fig. 4

Relative risk of incident diabetes associated with consumption of saturated fat (SFA). Multivariable-adjusted results from prospective cohort studies and the overall pooled result using fixed-effects meta-analysis are shown. Results from the Women’s Health Initiative randomized controlled trial are also shown comparing controls (higher SFA intake) to the intervention group in which SFA was reduced by ~3.2%E over 8 years [79]. CI’s for Harding et al.[56] were estimated based on the numbers of cases

Significant additional insight into effects of dietary fats on glucose-insulin homeostasis can be gained from long-term studies evaluating actual onset of diabetes. Among four large prospective cohort studies, none found independent associations between consumption of either SFA (Fig. 4) or MUFA and onset of diabetes [5356]. In contrast, three of four cohorts [54] observed lower incidence of diabetes with greater consumption of PUFA and/or vegetable fat [53, 55, 56]. In the large Women’s Health Initiative trial (n = 45,887), SFA intake was reduced in the intervention group from 12.7 to 9.5%E over 8 years as part of overall total fat reduction, largely replaced with CHO [57]. In this large RCT, this significant reduction in SFA consumption had no effect on fasting glucose, fasting insulin, homeostasis model assessment (HOMA) insulin resistance, or incident diabetes (RR = 0.95, 95% CI = 0.90–1.03).

Thus, some evidence from short-term RCTs suggests that SFA consumption in place of MUFA may worsen glucose-insulin homeostasis, especially among individuals predisposed to insulin resistance. However, several long-term observational studies and one large RCT suggest no effect of SFA consumption on onset of diabetes. Further confirmatory results of either harm or no effect in additional appropriately powered studies are needed given the present inconsistency of effects across all studies.

Weight Gain and Adiposity

The role of total dietary fat in obesity has been widely studied due to its high energy content (9 kcal/g) and subsequent potential for weight gain [5860]. Based on RCTs of weight loss with balanced-intensity interventions (i.e., all individuals receiving similar guidance and follow-up, with only the specific dietary advice varying) and prospective observational studies of weight gain, the %E from total fat does not have strong effects on adiposity compared with overall quality and quantity of foods consumed. Evidence for independent effects of specific dietary fats such as SFA on weight gain or adiposity are much more limited. In two large prospective cohort studies, increases in SFA consumption were associated with very small increases in abdominal circumference [61] or body weight during 8–9 years follow-up [62] compared with CHO, after adjusting for other risk factors and lifestyle and dietary behaviors.

Relationships with Cardiovascular Events

Coronary Heart Disease—Prospective Cohort Studies

Most individual prospective cohort studies have not observed an independent relationship between SFA consumption and incident CHD [6367]. The relatively small number of published studies, among the many available international cohorts, also raises concern for potential publication bias (i.e., additional unreported null studies). Two recent systematic reviews and meta-analyses, the first including 9 cohorts (11 estimates) evaluating 160,673 individuals [64], and the second including 16 cohorts among 214,182 individuals [68], found no significant association between SFA intake and CHD risk. Comparing the highest to the lowest category of consumption, the pooled RRs in these two meta-analyses were 1.06 (95% CI = 0.96–1.15) and 1.07 (95% CI = 0.96–1.19), respectively. These meta-analyses suggest no overall effect of SFA consumption on CHD events. However, these studies were unable to separately evaluate whether consuming SFA might have different effects on CHD events depending on the nutrient replaced, as would be suggested by differing effects of SFA, depending on the comparison nutrient, on blood lipids and apolipoproteins (Fig. 2).

The best observational evidence to-date of this question is a recent pooled analysis of individual-level data from 11 prospective cohort studies across three continents, including 344,696 individuals with 5,249 CHD events over 4–10 years of follow-up [69]. In fully multivariable-adjusted analyses, SFA consumption was associated with higher CHD risk only in comparison to PUFA. In other words, only consumption of PUFA in place of SFA was associated with lower CHD risk, whereas in fact consumption of CHO or MUFA in place of SFA was associated with higher CHD risk or trends toward higher CHD risk (Fig. 5). These associations were similar when analyses were restricted to CHD deaths only, and were not different in subgroups stratified by either sex or age.

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Fig. 5

Effects on coronary heart disease (CHD) risk of consuming polyunsaturated fat (PUFA), carbohydrate (CHO), or monounsaturated fat (MUFA) in place of saturated fat (SFA). Predicted effects are based on changes in the TC:HDL-C ratio in short-term trials [5], coupled with observed associations between the TC:HDL-C ratio and CHD disease events in middle-aged adults [91]. Evidence for effects of dietary macronutrients on actual CHD events comes from a meta-analysis of eight randomized controlled trials (RCTs) for PUFA replacing SFA, including 13,614 participants with 1,042 CHD events [78]; and from the Women’s Health Initiative (WHI) RCT for CHO replacing SFA, including 46,558 individuals with 1,185 CHD events and ~3.2%E reduction in SFA over 8 years [79]. Evidence for observed relationships of usual dietary habits with CHD events comes from a pooled analysis of 11 prospective cohort studies, including 344,696 individuals with 5,249 CHD events [69]. Reproduced with permission from Mozaffarian et al., in press [78]

Coronary Heart Disease—Randomized Controlled Trials

Eight RCTs have investigated the effects of consuming PUFA (either total or linoleic acid, LA) in place of SFA on CHD events [7077]. Most of these trials individually found no significant effects. A recent meta-analysis of these RCTs, including a total of 13,614 participants with 1,042 CHD events, found that CHD risk was lowered by 10% for each 5%E greater PUFA intake replacing SFA [78] (Fig. 5). Many of these trials have important limitations, including for example not being double-blind; incompletely assessing compliance; randomizing sites rather than individuals and having open enrollment and drop-out; and/or including vegetable oils that contained omega-3 PUFA of plant origin that may provide cardiovascular benefits unrelated to decreased SFA intake. Nonetheless, the overall findings from these RCTs of CHD endpoints are consistent with the results from prospective cohorts (Fig. 5).

One large RCT has tested the effect of reducing SFA consumption, replaced largely with CHO, on CHD events. As described, the Women’s Health Initiative trial randomized 46,558 women to lower total fat consumption, that included lowering of SFA consumption by ~3%E over 8 years, and largely replaced with CHO. Even though this was an unbalanced intervention (i.e., the intervention group received extensive dietary counseling, whereas the control group received usual care) that would generally bias toward risk-reduction in the intervention group, there were no significant effects on either incident CHD (RR = 0.93, 95%CI = 0.83–1.05) or total CVD (RR = 0.96, 95%CI = 0.89–1.03) [79]. This absence of benefit for substituting SFA with CHO is consistent with expected effects based on lipid changes (TC:HDL ratio) or observed relationships in prospective cohort studies (Fig. 5).

Stroke: Prospective Cohorts and Randomized Controlled Trials

Among five prospective cohort studies evaluating SFA consumption and incidence of stroke, one of three found SFA to be associated with lower risk of ischemic stroke [8082], and one of three found SFA to be associated with lower risk of hemorrhagic stroke [80, 83, 84]. Four prospective cohorts have also observed protective associations between animal protein intake, that is often consumed together with SFA, and risk of hemorrhagic stroke [85]. A recent systematic review and meta-analysis of eight prospective cohorts also found that SFA consumption was associated with trends toward lower risk of stroke: comparing the highest to the lowest category of SFA intake, the RR was 0.81 (95% CI = 0.62–1.05) [68]. In the Women’s Health Initiative trial, reduction in SFA consumption did not have a significant effect on incident stroke over 8 years (RR = 1.02, 95% CI = 0.90–1.17) [79]. Thus, overall, SFA consumption does not appear to increase the risk of stroke, and in fact some studies suggest a protective effect. Further investigation of these effects, including independence from potential benefits of animal protein intake, is warranted.

Future Research Directions

The multiple well-designed studies reviewed herein provide substantial evidence for health effects of SFA consumption. However, important questions remain. Although replacement of SFA with CHO appears to provide no overall CVD benefit, indirect lines of evidence suggest that effects could vary depending on overall CHO quality [8688]. For example, replacing SFA with less processed, higher fiber, lower glycemic index CHO could provide benefit, whereas replacing SFA with more processed, lower fiber, higher glycemic index CHO might have no effects or even be harmful. Effects of replacing SFA with CHO could also vary with an individual's susceptibility to insulin resistance/metabolic syndrome, in whom adverse metabolic effects of highly refined CHO may be more pronounced. Evidence for effects of replacing SFA with MUFA is mixed. Such effects could vary depending on other constituents in MUFA-containing foods (e.g., animal fats vs. vegetable oils), for example due to potentially beneficial phytochemicals and flavanols contained in the latter but not the former. Each of these issues requires direct investigation. Additionally, whereas the substantial differences in blood lipid effects of different chain-length SFA are clear, blood lipids represent only one set of intermediate risk markers. Investigation of the effects of different chain-length SFA on other risk pathways and, more importantly, on disease endpoints is urgently needed to determine the extent to which dietary and policy recommendations should focus on specific SFA rather than overall SFA consumption. Additional investigation of effects of SFA consumption on blood pressure, endothelial function, insulin resistance, diabetes, and stroke (plus stroke subtypes) is also needed, including consideration of potential variation depending on both the replacement nutrients and specific chain-length SFA under consideration. Future research should also evaluate the health effects of specific foods consumed, i.e., SFA intake from different meats versus dairy versus tropical fats, as well as how individual factors, such as age, sex, lifestyle factors, predisposition to insulin resistance, or genetic variation, may alter such responses.

Conclusions

Current public health dietary recommendations often prioritize the reduction of SFA consumption to prevent CVD. A review of the current evidence, particularly findings from well-performed RCTs of risk pathways, large prospective cohorts of disease endpoints, and RCTs of disease endpoints, suggests that this focus may not produce the intended benefits. First of all, substantial evidence indicates that health effects of reducing SFA vary depending on the replacement nutrient. Based on the best evidence from human studies, replacing SFA with PUFA (e.g., vegetables, vegetable oils) lowers CHD risk, whereas replacing SFA with CHO has no benefits. Replacing SFA with MUFA has uncertain effects, based on mixed evidence within and across different research paradigms. Of note, the effects of replacing SFA with PUFA or CHO, but not MUFA, on clinical CHD endpoints could be relatively predicted from the effects of these nutrient substitutions on the TC:HDL-C ratio. Thus, policies that prioritize the reduction of SFA consumption without specifically considering the replacement nutrient may have little or no effects on disease risk, especially as the most common replacement in populations is often CHO.

Second, even under optimal replacement scenarios of SFA for PUFA, the magnitude of likely benefit warrants attention. RCTs of the blood TC:HDL-C ratio, prospective cohorts of disease endpoints, and RCTs of disease endpoints each converge on ~10% reduction in CHD events for 5%E substitution of SFA with PUFA. This approaches the maximal plausible risk reduction in most populations; in the US, for example, such benefit would require overall population decrease from the current 11.5 to 6.5%E SFA consumption. Thus, although recommendations to replace SFA with PUFA appear appropriate, the much larger CVD burdens caused by other dietary factors (e.g., low omega-3, low fruits and vegetables, high trans fat, and high salt) [89] appear to warrant much more attention. Finally, although investigation of individual nutrients provides important information on potential underlying mechanisms of health effects, people make decisions about eating whole foods that contain multiple macro- and micronutrients in various amounts. Thus, food-based scientific research and policy recommendations may be most relevant in the modern era to understand and reduce the pandemics of chronic disease occurring in nearly all nations.

Acknowledgments

Supported by the Searle Funds at The Chicago Community Trust and the Bill & Melinda Gates Foundation/World Health Organization Global Burden of Diseases, Injuries, and Risk Factors Study. The founders had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

Conflict of interest statement

R. Micha has no conflicts of interest to declare. D. Mozaffarian received ad hoc consulting honoraria (modest) from Nutrition Impact, Unilever, and SPRIM.

Open Access

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