Intake of saturated fatty acids and risk of coronary heart disease

Intake of individual saturated fatty acids and risk of coronary heart disease in US men and women: two prospective longitudinal cohort studies

, postdoctoral fellow,¹ , research scientist,¹ , research scientist,² , lead scientist,² , science leader,² , professor,³ , professor,³ and , assistant professor⁴

Geng Zong

¹Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA

Yanping Li

¹Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA

Anne J Wanders

²Unilever Research and Development, 3133AT, Vlaardingen, Netherlands

Marjan Alssema

²Unilever Research and Development, 3133AT, Vlaardingen, Netherlands

Peter L Zock

²Unilever Research and Development, 3133AT, Vlaardingen, Netherlands

Walter C Willett

³Departments of Nutrition and Epidemiology, Harvard T H Chan School of Public Health, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

Frank B Hu

³Departments of Nutrition and Epidemiology, Harvard T H Chan School of Public Health, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

Qi Sun

⁴Department of Nutrition, Harvard T H Chan School of Public Health, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 665 Huntington Avenue, Boston, MA 02115, USA

¹Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA

²Unilever Research and Development, 3133AT, Vlaardingen, Netherlands

³Departments of Nutrition and Epidemiology, Harvard T H Chan School of Public Health, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

⁴Department of Nutrition, Harvard T H Chan School of Public Health, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 665 Huntington Avenue, Boston, MA 02115, USA

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Abstract

Objectives To investigate the association between long term intake of individual saturated fatty acids (SFAs) and the risk of coronary heart disease, in two large cohort studies.

Design Prospective, longitudinal cohort study.

Setting Health professionals in the United States.

Participants 73 147 women in the Nurses’ Health Study (1984-2012) and 42 635 men in the Health Professionals Follow-up Study (1986-2010), who were free of major chronic diseases at baseline.

Main outcome measure Incidence of coronary heart disease (n=7035) was self-reported, and related deaths were identified by searching National Death Index or through report of next of kin or postal authority. Cases were confirmed by medical records review.

Results Mean intake of SFAs accounted for 9.0-11.3% energy intake over time, and was mainly composed of lauric acid (12:0), myristic acid (14:0), palmitic acid (16:0), and stearic acid (18:0; 8.8-10.7% energy). Intake of 12:0, 14:0, 16:0 and 18:0 were highly correlated, with Spearman correlation coefficients between 0.38 and 0.93 (all P<0.001). Comparing the highest to the lowest groups of individual SFA intakes, hazard ratios of coronary heart disease were 1.07 (95% confidence interval 0.99 to 1.15; P_trend=0.05) for 12:0, 1.13 (1.05 to 1.22; P_trend<0.001) for 14:0, 1.18 (1.09 to 1.27; P_trend<0.001) for 16:0, 1.18 (1.09 to 1.28; P_trend<0.001) for 18:0, and 1.18 (1.09 to 1.28; P_trend<0.001) for all four SFAs combined (12:0-18:0), after multivariate adjustment of lifestyle factors and total energy intake. Hazard ratios of coronary heart disease for isocaloric replacement of 1% energy from 12:0-18:0 were 0.92 (95% confidence interval 0.89 to 0.96; P<0.001) for polyunsaturated fat, 0.95 (0.90 to 1.01; P=0.08) for monounsaturated fat, 0.94 (0.91 to 0.97; P<0.001) for whole grain carbohydrates, and 0.93 (0.89 to 0.97; P=0.001) for plant proteins. For individual SFAs, the lowest risk of coronary heart disease was observed when the most abundant SFA, 16:0, was replaced. Hazard ratios of coronary heart disease for replacing 1% energy from 16:0 were 0.88 (95% confidence interval 0.81 to 0.96; P=0.002) for polyunsaturated fat, 0.92 (0.83 to 1.02; P=0.10) for monounsaturated fat, 0.90 (0.83 to 0.97; P=0.01) for whole grain carbohydrates, and 0.89 (0.82 to 0.97; P=0.01) for plant proteins.

Conclusions Higher dietary intakes of major SFAs are associated with an increased risk of coronary heart disease. Owing to similar associations and high correlations among individual SFAs, dietary recommendations for the prevention of coronary heart disease should continue to focus on replacing total saturated fat with more healthy sources of energy.

Introduction

Prevailing dietary guidelines recommend keeping saturated fatty acid (SFA) intake below 10% of total energy for the prevention of cardiovascular disease, a leading cause of death worldwide.¹² However, findings from recent systematic reviews and meta-analyses remain inconsistent on the association between SFA intake and coronary heart disease, largely owing to SFA being compared to different macronutrients in published studies.³⁴⁵⁶ When SFA was replaced by polyunsaturated fat, lower risk of coronary heart disease has been observed in large scale prospective studies and intervention studies.⁵⁶ But in practice, calories from SFA have mainly been replaced with low quality carbohydrate,⁷ which exert clear adverse effects on cardiometabolic disorders such as obesity and diabetes.⁸ Therefore, increased SFA intake did not appear to be associated with risk of coronary heart disease in many studies because the comparison nutrient was typically refined carbohydrates.

Intervention studies have consistently linked SFA intake with deteriorated blood lipid profile, with individual SFAs conferring heterogeneous effects, which might also explain the current controversies over SFAs.⁹¹⁰ For example, a recently updated meta-analysis of clinical trials found that lauric acid (12:0), myristic acid (14:0), and palmitic acid (16:0) significantly raised levels of total cholesterol and low density lipoprotein (LDL) cholesterol when mixed carbohydrates in diet were replaced by these fatty acids.⁹¹⁰ The effects of stearic acid (18:0), however, were largely neutral.⁹¹⁰ Few observational studies have investigated the association between individual SFAs and risk of coronary heart disease.^1112131415 Our previous analysis of women in the Nurses’ Health Study reported that intake of major SFAs (including 12:0, 14:0, 16:0, and 18:0) were associated with an elevated risk of coronary heart disease, whereas the sum of butyric acid (4:0), caproic acid (6:0), caprylic acid (8:0), and capric acid (10:0) was not.¹¹

In the current study, we updated the analyses on associations between intake of individual SFAs and risk of coronary heart disease in the Nurses’ Health Study with an extended follow-up of 18 years. We also included data from a cohort of men participating in the Health Professionals Follow-up Study. Most importantly, we estimated risk of coronary heart disease when individual SFAs were replaced by macronutrients that could help prevent coronary heart disease,⁷¹⁶ including polyunsaturated fat, monounsaturated fat, whole grain carbohydrates, and plant proteins.

Methods

Study population

The Nurses’ Health Study included 121 700 female nurses aged 30-55 years in 1976,¹⁷ and the Health Professionals Follow-up Study included 51 529 male health professionals aged 40-75 years in 1986.¹⁸ Information on medical history, lifestyle, potential risk factors, and disease diagnosis was collected at baseline through a self-administered questionnaire and updated every two years by use of similar questionnaires in both cohorts. The study protocol was approved by the institutional review boards of Brigham and Women’s Hospital and the Harvard T H Chan School of Public Health. Return of self-administered questionnaires was considered informed consent.

The current analysis was conducted among 81 757 women and 51 529 men who completed a food frequency questionnaire at study baseline (years 1984 for the Nurses’ Health Study and 1986 for the Health Professionals Follow-up Study). Participants were excluded if any of the following occurred:

• They reported physician diagnosed cancer, diabetes, or cardiovascular disease at study baseline (n=7749, Nurses’ Health Study; n=7596, Health Professionals Follow-up Study).

• Their total energy intake was deemed implausible (<600 or >3500 kcal/day, Nurses’ Health Study; <800 or >4200 kcal/day, Health Professionals Follow-up Study; 1 kcal=4.18 kJ) or had missing individual SFA data (n=98; n=147).

• They answered the baseline questionnaire only or had missing age at baseline (n=763, Nurses’ Health Study; n=1152, Health Professionals Follow-up Study).

The final sample consisted of 73 147 women and 42 635 men with complete information.

Ascertainment of diet

In 1980, Nurses’ Health Study participants completed a 61 item food frequency questionnaire on their usual intake of foods and beverages in the past year. In 1984, 1986, and every four years thereafter until 2010, they were sent an expanded food frequency questionnaire to assess and update dietary information. The same questionnaire was sent to Health Professionals Follow-up Study participants every four years, from 1986 to 2010. The study baseline year was 1984 for the Nurses’ Health Study, for more comprehensive estimates of individual SFA intake starting from this follow-up cycle. Overall, women completed and returned 6.9 (86.3%) of the eight food frequency questionnaires received up to 2010, whereas men completed and returned 5.5 (78.6%) of seven questionnaires received.

Participants were asked how often, on average, they had consumed specific foods in the past year, with nine responses ranging from “never” to “at least six times per day” based on a specified standard portion size. They were also asked about the types of fat, oil, and margarine used during cooking and at the table. Intakes of even-chain SFAs with carbon chain lengths between four and 18, total polyunsaturated fat, total monounsaturated fat, and total trans fat were calculated by multiplying the frequency of the consumption of each food item by its fatty acid composition, and then summing up values from all foods.

SFA composition of foods was based on the US Department of Agriculture and Harvard University food composition database, which is updated over time to reflect the nutrient profile of new food items and changes in processing.¹⁹ As detailed previously, we estimated whole grain carbohydrates on the basis of whole grain ingredients from a list of grain based foods. These foods include oatmeal; oatmeal, oat bran, or whole bran bread; brown rice; popcorn; whole wheat bread; whole wheat crackers; rye bread; oat based cold cereals; raw oat or wheat bran; and bran muffins.⁷²⁰

To better represent long term habitual intake and to minimize within-person variation, we calculated cumulative averages of food intake from all available dietary questionnaires throughout the follow-up period.²¹ We stopped updating diet information after participants reported a diagnosis of diabetes, stroke, or cancer, to minimize the possibility of reverse causation bias. Cumulative means of dietary variables before diagnosis of these diseases were then carried forward to represent diet for later follow-up. Missing values of individual SFAs were replaced with cumulative means of previous assessments. Fat intake estimates by food frequency questionnaires were validated against diet records over multiple weeks or 24 h dietary recall at baseline and during follow-up.²²²³²⁴

The accuracy of individual SFA intake was evaluated in our latest validation study conducted in Nurses’ Health Study between 2010 and 2012, and multivariate adjusted Spearman rank correlation coefficients were between 0.50 and 0.70 for total and individual SFA intakes.²⁵ For example, correlations between estimates by food frequency questionnaires and seven day diet records were 0.69 (95% confidence interval 0.62 to 0.73) for total SFAs, 0.70 (0.64 to 0.74) for 16:0, and 0.68 (0.61 to 0.73) for 18:0. For correlation coefficients between food frequency questionnaire estimates and those by repeat 24 h diet recalls, corresponding correlation coefficients were 0.71 (0.60 to 0.80), 0.74 (0.63 to 0.82), and 0.70 (0.60 to 0.79), respectively.²⁵

Macronutrients were presented and analyzed as percentages of total energy intake, by dividing energy from the nutrients by total energy intake. Evaluating macronutrients as a percentage of energy is widely used in clinical settings and dietary guidelines.²⁶ This approach helps control for confounding by total energy intake and are of more biological relevance, because effects of the same amount of nutrients could depend on body size, which is a major determinant of energy requirement.²⁶

Ascertainment of coronary heart disease

In this study, total coronary heart disease included non-fatal myocardial infarction and fatal coronary heart disease.²⁷ To ascertain non-fatal myocardial infarction, we first obtained permission of access to medical records from participants who reported having a physician diagnosed heart disease in follow-up questionnaires. Medical records were reviewed by study physicians who were blinded to exposure status, and telephone interviews were performed when medical records were not provided. Non-fatal myocardial infarction was confirmed using World Health Organization criteria of typical symptoms plus either elevated enzymes or diagnostic electrocardiography changes.²⁸ We identified deaths by reports from next of kin and US postal authorities, or by searching the National Death Index. More than 98% of deaths can be identified by these approaches.²⁷

Fatal coronary heart disease was confirmed by a review of hospital records or autopsy reports if coronary heart disease was listed as the underlying cause of death and if evidence of previous coronary heart disease was available from medical records. Probable fatal coronary heart disease was assigned if coronary heart disease was listed as the underlying cause of death on the death certificate but no medical records concerning the death were available and no prior reports of coronary heart disease was indicated. For this analysis, we included both confirmed and probable cases to maximize statistical power, and performed a sensitivity analysis by excluding probable fatal cases.

Statistical analysis

To describe the trend of individual SFA intake over time, we calculated aged adjusted intake of individual SFAs during follow-up without generating cumulative averages, carrying overof missing values, or stopping the updating of diets after chronic diseases were diagnosed. Because of their minor amounts and shared food sources, 4:0, 6:0, 8:0, and 10:0 were combined together as 4:0-10:0. Similarly, in addition to analyzing long chain SFAs individually, we calculated and used the groups 12:0-14:0 and 12:0-18:0.

Person years of follow-up were calculated from the return date of the baseline questionnaire to the date when participants were diagnosed with coronary heart disease, the date of death, or the end of follow-up, whichever came first. We estimated hazard ratios and 95% confidence intervals of incident coronary heart disease, according to individual SFA intake (divided into five groups based on quintiles), by using time dependent Cox proportional hazards regression model in each cohort with follow-up duration as the timescale. Analyses were conducted in the two cohorts separately; results were then pooled with a fixed effect model if the P value for heterogeneity was greater than 0.05.

Cox regression analysis was stratified jointly by age in months and calendar year to better control for confounding by age, calendar time, and any possible two way interactions between them. The multivariate model was adjusted for ethnicity, family history of myocardial infarction, body mass index, cigarette smoking, alcohol intake, physical activity, multivitamin use, menopausal status and postmenopausal hormone use (for women), current aspirin use, baseline hypertension, baseline hypercholesterolemia, and total energy intake. We did a test for linear trend by modeling median values of categories of individual SFAs as continuous variables.

Potential isocaloric substitution effect was estimated in a multivariate energy density model. This model further adjusted for energy from trans fat, polyunsaturated fat, monounsaturated fat, whole grain carbohydrates, non-whole grain carbohydrates, plant proteins, non-plant proteins, and the sum of SFAs except the one at issue. By leaving one specific SFA out of the model, regression coefficients of other macronutrients could be interpreted as estimated effects of isocalorically substituting one of these nutrients for that specific SFA while holding other macronutrients unchanged. In the substitution model, we adjusted for the sum of energy proportions from all these macronutrients as total energy intake.

We further estimated absolute risk reduction when mean individual SFA intake decreased from the highest to the lowest group, in isocaloric replacement by other nutrients. In this analysis, we first calculated the difference in mean SFA intake between the highest and lowest groups, and then derived the relative risk reduction of coronary heart disease corresponding to this change using hazard ratios in the substitution model above (estimated effects of 1% energy substitution). We multiplied this relative risk reduction with the incidence rate of coronary heart disease in the highest SFA intake group, in order to estimate the absolute risk reduction when specific SFA intake decreased from the highest to the lowest group with isocaloric replacement by another nutrient.²⁹³⁰ SFA intake and incidence rate were based on pooled study populations of men and women.

We tested proportional hazard assumption by including interaction terms between individual SFAs and follow-up duration in the model, and results did not suggest that the assumption was violated (P>0.05). Substitution analyses were stratified by age (<65 years, ≥65 years), body mass index (<25, ≥25), physical activity (<18, ≥18 metabolic equivalent of task/week), and smoking status (current smoking or not). We performed three sensitivity analyses to examine the robustness of our findings. Firstly, we controlled for baseline body mass index instead of updated body mass index, because obesity is a potential mediator between SFAs and risk of coronary heart disease. Secondly, we adjusted for hypertension, hypercholesterolemia, and diabetes diagnosed during follow-up. Finally, we excluded probable fatal cases. Statistical analyses were performed by using SAS 9.4 (SAS Institute). All P values were two sided, with statistical significance defined as P<0.05.

Patient involvement

No participants were involved in raising research questions or the outcome measures, nor were they involved in developing plans for recruitment, design, or implementation of the study. No participants were asked to advise on interpretation or writing up of the manuscript. Findings from the Nurses’ Health Study and Health Professionals Follow-up Study have been posted on study websites and disseminated to participants as mailed newsletters annually (www.nurseshealthstudy.org and https://www.hsph.harvard.edu/hpfs/index.html).

Results

At baseline, participants with higher SFA intake were younger, were more likely to be white and non-smokers, had lower alcohol consumption, engaged in less physical activity, and had lower prevalence of hypercholesterolemia and hypertension than those with lower SFA intake (table 1). These participants were also less likely to take multivitamin supplements; had a higher body mass index; and had higher intakes of total energy, polyunsaturated fat, monounsaturated fat, trans fat, and proteins, and lower intakes of carbohydrates and plant proteins.

Table 1

Age standardized baseline characteristics in the Nurse’s Health Study (1984) and Health Professionals’ Follow-up Study (1986), according to groups of total SFA intake*

Characteristic*	Total SFA intake (energy (%)†)
	Nurse’s Health Study						Health Professionals’ Follow-up Study
	Q1 (n=14 629)	Q2 (n=14 630)	Q3 (n=14 629)	Q4 (n=14 630)	Q5 (n=14 629)		Q1 (n=8527)	Q2 (n=8527)	Q3 (n=8527)	Q4 (n=8527)	Q5 (n=8527)
Total saturated fat (energy (%))	8.2 (1.1)	10.1 (0.4)	11.3 (0.3)	12.6 (0.4)	15.0 (1.6)		6.9 (1.2)	9.1 (0.4)	10.4 (0.4)	11.7 (0.4)	14.3 (1.7)
Age (years)	51.7 (7.1)	50.6 (7.2)	49.8 (7.2)	49.5 (7.1)	49.4 (7.0)		54.2 (9.6)	53.5 (9.7)	52.8 (9.6)	52.5 (9.4)	52.7 (9.4)
White people (No (%))	14 038 (96)	14 284 (98)	14 374 (98)	14 397 (98)	14 444 (99)		7916 (93)	8042 (93)	8160 (94)	8208 (96)	8231 (96)
Family history of myocardial infarction (No (%))	5890 (39)	5738 (39)	5690 (39)	5571 (39)	5581 (39)		3044 (35)	2783 (35)	2699 (33)	2615 (32)	2555 (31)
Alcohol intake (g/day)	9.8 (15.3)	7.5 (11.5)	6.6 (10.0)	5.8 (9.1)	5.1 (8.3)		14.1 (19.3)	13.2 (16.3)	11.5 (14.6)	10.0 (13.0)	8.4 (11.9)
Current smoking (No (%))	3105 (22)	3191 (22)	3248 (22)	3608 (25)	4463 (31)		477 (6)	635 (7)	773 (9)	966 (11)	1219 (14)
Multivitamin use (No (%))	6256 (42)	5605 (38)	5381 (37)	4985 (34)	4807 (33)		4141 (48)	3781 (44)	3528 (41)	3277 (39)	3071 (36)
Any use of postmenopausal hormone (No (%))	3936 (23)	3472 (23)	3107 (22)	2867 (21)	2722 (20)		—	—	—	—	—
Current use of aspirin (No (%))	9317 (64)	9825 (67)	10018 (68)	10065 (69)	9844 (67)		2302 (26)	2363 (28)	2344 (28)	2282 (27)	2217 (26)
Hypertension (No (%))	3539 (22)	3099 (21)	2816 (20)	2852 (20)	2765 (20)		1846 (21)	1778 (21)	1631 (19)	1593 (19)	1531 (18)
Hypercholesterolemia (No (%))	1698 (10)	1259 (8)	1050 (7)	910 (6)	867 (6)		1411 (16)	975 (11)	834 (10)	686 (8)	575 (7)
Physical activity (metabolic equivalent tasks/week)	17.8 (25.2)	15.0 (22.7)	13.4 (18.3)	12.8 (17.9)	11.9 (18.9)		28.4 (35.9)	23.2 (31.6)	20.4 (29.0)	18.6 (26.2)	16.5 (23.4)
Body mass index	24.2 (4.2)	24.7 (4.4)	25.0 (4.6)	25.3 (4.8)	25.3 (5.1)		24.1 (4.7)	24.7 (4.7)	25.0 (4.9)	25.3 (5.0)	25.5 (5.1)
Dietary factors
Total energy (kcal‡)	1688 (530)	1751 (520)	1770 (526)	1770 (527)	1757 (549)		1893 (601)	1957 (589)	2021 (610)	2038 (617)	2081 (668)
Cereal fiber (g/day)	5.0 (3.0)	4.4 (2.3)	4.1 (2.1)	3.8 (1.9)	3.2 (1.7)		7.8 (5.4)	6.4 (3.8)	5.7 (3.2)	5.1 (2.9)	4.3 (2.6)
Fruit and vegetables (servings/day)	6.3 (3.0)	5.6 (2.5)	5.2 (2.3)	4.8 (2.1)	4.2 (2.0)		6.9 (3.4)	5.8 (2.6)	5.3 (2.4)	4.8 (2.2)	4.2 (2.1)
Whole grain carbohydrate (energy (%))	3.4 (3.4)	2.6 (2.3)	2.3 (2.0)	1.9 (1.7)	1.5 (1.5)		4.9 (4.3)	3.4 (2.8)	2.8 (2.3)	2.3 (2.0)	1.8 (1.7)
Non-whole grain carbohydrate (energy (%))	49.7 (8.3)	46.2 (6.3)	44.0 (5.9)	42.1 (5.7)	38.6 (6.3)		49.5 (8.7)	45.5 (6.9)	43.8 (6.5)	41.8 (6.1)	38.6 (6.4)
Plant protein (energy (%))	5.3 (1.4)	5.0 (1.0)	4.7 (0.9)	4.5 (0.8)	4.2 (0.8)		5.9 (1.5)	5.2 (1.04)	4.9 (0.9)	4.6 (0.9)	4.2 (0.9)
Non-plant protein (energy (%))	11.7 (3.9)	12.6 (3.3)	13.1 (3.2)	13.5 (3.2)	14.2 (3.5)		12.4 (4.0)	13.3 (3.5)	13.5 (3.3)	14.0 (3.3)	14.6 (3.4)
Polyunsaturated fat (energy (%))	6.2 (1.8)	6.6 (1.7)	6.8 (1.7)	6.8 (1.7)	6.6 (1.8)		5.5 (1.6)	6.0 (1.5)	6.1 (1.5)	6.1 (1.5)	6.0 (1.6)
Monounsaturated fat (energy (%))	10.0 (1.9)	11.9 (1.6)	12.8 (1.7)	13.7 (1.7)	14.8 (1.9)		9.1 (2.0)	11.3 (1.7)	12.5 (1.8)	13.5 (1.8)	14.9 (2.0)
Trans fat (energy (%))	1.6 (0.6)	1.9 (0.6)	2.0 (0.6)	2.1 (0.6)	2.1 (0.6)		0.8 (0.4)	1.2 (0.4)	1.3 (0.4)	1.4 (0.5)	1.6 (0.5)
4:0 (energy (%))	0.15 (0.06)	0.18 (0.06)	0.21 (0.07)	0.24 (0.08)	0.33 (0.14)		0.10 (0.05)	0.14 (0.06)	0.16 (0.07)	0.19 (0.08)	0.27 (0.13)
6:0 (energy (%))	0.08 (0.03)	0.10 (0.04)	0.11 (0.05)	0.13 (0.05)	0.20 (0.09)		0.06 (0.03)	0.08 (0.03)	0.09 (0.04)	0.11 (0.05)	0.16 (0.08)
8:0 (energy (%))	0.05 (0.02)	0.06 (0.02)	0.06 (0.03)	0.07 (0.03)	0.09 (0.05)		0.04 (0.02)	0.05 (0.02)	0.05 (0.02)	0.06 (0.03)	0.08 (0.05)
10:0 (energy (%))	0.11 (0.04)	0.14 (0.04)	0.16 (0.05)	0.19 (0.06)	0.27 (0.10)		0.09 (0.04)	0.12 (0.04)	0.14 (0.04)	0.16 (0.05)	0.23 (0.10)
12:0 (energy (%))	0.15 (0.09)	0.19 (0.11)	0.22 (0.13)	0.26 (0.15)	0.36 (0.21)		0.12 (0.08)	0.16 (0.10)	0.19 (0.12)	0.22 (0.13)	0.31 (0.28)
14:0 (energy (%))	0.70 (0.17)	0.89 (0.15)	1.01 (0.17)	1.16 (0.20)	1.53 (0.36)		0.54 (0.16)	0.74 (0.15)	0.87 (0.16)	1.01 (0.18)	1.35 (0.36)
16:0 (energy (%))	4.84 (0.66)	5.90 (0.34)	6.54 (0.35)	7.18 (0.40)	8.34 (0.85)		4.16 (0.72)	5.40 (0.34)	6.12 (0.34)	6.81 (0.40)	8.03 (0.87)
18:0 (energy (%))	2.13 (0.36)	2.68 (0.22)	3.00 (0.24)	3.33 (0.27)	3.90 (0.51)		1.75 (0.40)	2.41 (0.25)	2.80 (0.27)	3.18 (0.32)	3.83 (0.59)

Proportions of energy intake from SFAs decreased from 11.3% in the Nurses’ Health Study and 10.4% in the Health Professionals Follow-up Study at baseline to 9.1% and 9.0% in 1998, respectively, and slightly increased again to 9.9% and 9.8% in 2010, respectively (fig 1). Overall, 12:0, 14:0, 16:0, and 18:0 are the main SFAs in diet and account for 8.8-10.7% energy on average. Throughout follow-up, mean proportion of energy from 16:0 was 5.7% for both women and men, followed by 18:0 (2.6% for both sexes) and 14:0 (0.9% for women and 0.8% for men). Lauric acid (12:0) and 4:0-10:0 contributed to 0.2% and 0.5% energy in men and women. Individual SFAs in the diet were highly correlated; Spearman correlation coefficients ranged from 0.38 between 4:0-10:0 and 18:0, to 0.93 between 16:0 and 18:0 (all P<0.001; supplementary table 1).

Fig 1 Aged adjusted intake (energy (%)) of individual saturated fatty acids over time in the Nurses’ Health Study (1984-2010) and Health Professionals Follow-up Study (1986-2010). 4:0=butyric acid; 6:0=caproic acid; 8:0=caprylic acid; 10:0=capric acid; 12:0=lauric acid; 14:0=myristic acid; 16:0=palmitic acid; 18:0=stearic acid

Median follow-up duration was 25.8 (interquartile range 24.2-26.0, range 0.1-27.9) years for women and 21.2 (18.9-21.8, 0.1-23.7) years for men. During 2.72 million person years of follow-up, 7035 incident cases of coronary heart disease were identified (4348 with non-fatal disease, and 2687 with fatal disease). The sum intake of 4:0-10:0 was positively associated with risk of coronary heart disease in the age adjusted model (P_trend=0.009), which was attenuated after multivariate adjustment (P_trend=0.30; table 2). Intakes of 12:0, 14:0, 16:0, 18:0, and the sum of 12:0-18:0 were all associated with a higher risk of coronary heart disease in age and multivariate adjusted models (all P_trend<0.05). Pooled hazard ratios of coronary heart disease comparing the highest to the lowest intake groups were 1.07 (95% confidence interval 0.99 to 1.15; P_trend=0.05) for 12:0, 1.13 (1.05 to 1.22; P_trend<0.001) for 14:0, 1.18 (1.09 to 1.27; P_trend<0.001) for 16:0, 1.18 (1.09 to 1.28; P_trend<0.001) for 18:0, and 1.18 (1.09 to 1.28; P_trend<0.001) for 12:0-18:0 in the multivariate adjusted model.

Table 2

Association between intake of individual SFAs and risk of coronary heart disease in the Nurses’ Health Study (1984-2010) and Health Professionals Follow-up Study (1986-2010)

	SFA intake (energy (%))*					Ptrend
	Q1	Q2	Q3	Q4	Q5
4:0-10:0
Nurses’ Health Study
Median SFA intake (energy (%))	0.30	0.41	0.50	0.61	0.82	—
CHD/person year (No)	587/370 588	579/370 698	560/370 466	583/370 160	637/368 728	—
Age adjusted model†	1	1.02 (0.91 to 1.15)	0.99 (0.88 to 1.11)	1.04 (0.93 to 1.17)	1.13 (1.01 to 1.27)	0.02
Multivariate model‡	1	1.07 (0.95 to 1.20)	1.01 (0.90 to 1.14)	1.06 (0.95 to 1.20)	1.08 (0.96 to 1.21)	0.26
Health Professionals Follow-up Study
Median SFA intake (energy (%))	0.21	0.32	0.41	0.52	0.73	—
CHD/person year (No)	811/173 021	766/173 450	791/173 160	819/173 069	902/172 314	—
Age adjusted model	1	0.99 (0.89 to 1.09)	1.00 (0.91 to 1.11)	1.03 (0.93 to 1.14)	1.06 (0.96 to 1.16)	0.14
Multivariate model	1	1.00 (0.90 to 1.10)	1.00 (0.91 to 1.11)	1.02 (0.93 to 1.13)	1.01 (0.92 to 1.12)	0.69
Pooled analysis§
Age adjusted model	1	1.00 (0.93 to 1.08)	1.00 (0.93 to 1.08)	1.03 (0.96 to 1.11)	1.09 (1.01 to 1.17)	0.009
Multivariate model	1	1.03 (0.95 to 1.11)	1.01 (0.93 to 1.09)	1.04 (0.96 to 1.12)	1.04 (0.96 to 1.12)	0.30
12:0
Nurses’ Health Study
Median SFA intake (energy (%))	0.12	0.16	0.20	0.24	0.37	—
CHD/person year (No)	593/370 058	556/370 205	565/370 484	572/370 234	660/369 659	—
Age adjusted model	1	0.99 (0.88 to 1.11)	1.04 (0.92 to 1.16)	1.05 (0.94 to 1.18)	1.23 (1.10 to 1.38)	<0.001
Multivariate model	1	1.01 (0.90 to 1.14)	1.05 (0.93 to 1.18)	1.03 (0.92 to 1.16)	1.11 (0.99 to 1.24)	0.07
Health Professionals Follow-up Study
Median SFA intake (energy (%))	0.10	0.14	0.18	0.22	0.34	—
CHD/person year (No)	844/172 454	789/173 116	794/173 261	781/173 342	881/172 840	—
Age adjusted model	1	1.00 (0.90 to 1.10)	1.02 (0.93 to 1.13)	1.01 (0.91 to 1.11)	1.10 (1.00 to 1.21)	0.03
Multivariate model	1	0.99 (0.90 to 1.10)	1.02 (0.92 to 1.12)	1.00 (0.90 to 1.10)	1.04 (0.95 to 1.15)	0.33
Pooled analysis
Age adjusted model	1	0.99 (0.92 to 1.07)	1.03 (0.95 to 1.11)	1.02 (0.95 to 1.10)	1.15 (1.07 to 1.24)	<0.001
Multivariate model	1	1.00 (0.93 to 1.08)	1.03 (0.95 to 1.11)	1.01 (0.94 to 1.09)	1.07 (0.99 to 1.15)	0.05
14:0
Nurses’ Health Study
Median SFA intake (energy (%))	0.63	0.79	0.91	1.05	1.33	—
CHD/person year (No)	596/370 997	558/370 854	534/370 521	605/369 940	653/368 328	—
Age adjusted model	1	1.02 (0.91 to 1.15)	1.03 (0.91 to 1.15)	1.17 (1.05 to 1.31)	1.28 (1.14 to 1.43)	<0.001
Multivariate model	1	1.01 (0.89 to 1.13)	0.99 (0.88 to 1.12)	1.08 (0.97 to 1.22)	1.10 (0.98 to 1.23)	0.04
Health Professionals Follow-up Study
Median SFA intake (energy (%))	0.50	0.68	0.80	0.95	1.22	—
CHD/person year (No)	775/173 398	754/173 399	809/173 246	812/172 832	939/172 138	—
Age adjusted model	1	1.06 (0.95 to 1.17)	1.17 (1.06 to 1.29)	1.17 (1.06 to 1.30)	1.29 (1.17 to 1.42)	<0.001
Multivariate model	1	1.03 (0.93 to 1.14)	1.12 (1.01 to 1.24)	1.09 (0.98 to 1.21)	1.15 (1.04 to 1.27)	0.004
Pooled analysis
Age adjusted model	1	1.04 (0.96 to 1.12)	1.11 (1.02 to 1.19)	1.17 (1.09 to 1.27)	1.28 (1.19 to 1.38)	<0.001
Multivariate model	1	1.02 (0.94 to 1.10)	1.06 (0.98 to 1.15)	1.09 (1.01 to 1.17)	1.13 (1.05 to 1.22)	<0.001
16:0
Nurses’ Health Study
Median SFA intake (energy (%))	4.68	5.49	6.04	6.61	7.55	—
CHD/person year (No)	586/370 403	574/370 902	569/370 506	591/370 144	626/368 685	—
Age adjusted model	1	1.10 (0.98 to 1.24)	1.18 (1.05 to 1.32)	1.29 (1.15 to 1.45)	1.45 (1.29 to 1.62)	<0.001
Multivariate model	1	1.07 (0.95 to 1.20)	1.08 (0.96 to 1.21)	1.13 (1.01 to 1.27)	1.12 (1.00 to 1.27)	0.04
Health Professionals Follow-up Study
Median SFA intake (energy (%))	4.22	5.21	5.87	6.52	7.52	—
CHD/person year (No)	772/173 340	767/173 368	786/173 172	840/172 897	924/172 237	—
Age adjusted model	1	1.08 (0.98 to 1.20)	1.16 (1.05 to 1.28)	1.26 (1.15 to 1.40)	1.43 (1.30 to 1.57)	<0.001
Multivariate model	1	1.05 (0.95 to 1.17)	1.10 (0.99 to 1.22)	1.16 (1.05 to 1.28)	1.22 (1.10 to 1.35)	<0.001
Pooled analysis
Age adjusted model	1	1.09 (1.01 to 1.18)	1.16 (1.08 to 1.26)	1.28 (1.18 to 1.38)	1.44 (1.33 to 1.55)	<0.001
Multivariate model	1	1.06 (0.98 to 1.15)	1.09 (1.01 to 1.18)	1.15 (1.06 to 1.24)	1.18 (1.09 to 1.27)	<0.001
18:0
Nurses’ Health Study
Median SFA intake (energy (%))	2.02	2.46	2.76	3.07	3.56	—
CHD/person year (No)	553/370 679	557/370 728	547/370 516	634/370 053	655/368 663	—
Age adjusted model	1	1.13 (1.00 to 1.27)	1.17 (1.04 to 1.32)	1.42 (1.27 to 1.59)	1.53 (1.36 to 1.71)	<0.001
Multivariate model	1	1.09 (0.97 to 1.23)	1.07 (0.95 to 1.21)	1.22 (1.09 to 1.38)	1.17 (1.04 to 1.32)	0.003
Health Professionals Follow-up Study
Median SFA intake (energy (%))	1.76	2.30	2.67	3.03	3.58	—
CHD/person year (No)	730/173 367	767/173 438	795/173 142	865/172 821	932/172 244	—
Age adjusted model	1	1.11 (1.00 to 1.23)	1.20 (1.08 to 1.32)	1.31 (1.18 to 1.44)	1.42 (1.29 to 1.57)	<0.001
Multivariate model	1	1.08 (0.97 to 1.19)	1.13 (1.02 to 1.25)	1.19 (1.07 to 1.32)	1.19 (1.08 to 1.32)	0.004
Pooled analysis
Age adjusted model	1	1.12 (1.03 to 1.21)	1.19 (1.10 to 1.28)	1.35 (1.26 to 1.46)	1.47 (1.36 to 1.58)	<0.001
Multivariate model	1	1.08 (1.00 to 1.17)	1.11 (1.02 to 1.20)	1.20 (1.11 to 1.30)	1.18 (1.09 to 1.28)	<0.001
12:0-18:0
Nurses’ Health Study
Median SFA intake (energy (%))	7.58	9.00	9.96	10.98	12.64	—
CHD/person year (No)	575/370 561	572/370 873	548/370 588	595/370 025	656/368 593	—
Age adjusted model	1	1.12 (0.99 to 1.25)	1.15 (1.02 to 1.29)	1.30 (1.16 to 1.46)	1.50 (1.34 to 1.68)	<0.001
Multivariate model	1	1.08 (0.96 to 1.21)	1.05 (0.94 to 1.19)	1.14 (1.01 to 1.28)	1.17 (1.04 to 1.31)	0.01
Health Professionals Follow-up Study
Median SFA intake (energy (%))	6.71	8.42	9.57	10.72	12.49	—
CHD/person year (No)	754/173 363	767/173 360	775/173 230	870/172 818	923/172 242	—
Age adjusted model	1	1.08 (0.98 to 1.20)	1.16 (1.04 to 1.28)	1.32 (1.19 to 1.45)	1.41 (1.28 to 1.55)	<0.001
Multivariate model	1	1.05 (0.95 to 1.17)	1.10 (0.99 to 1.22)	1.20 (1.08 to 1.32)	1.19 (1.08 to 1.32)	<0.001
Pooled analysis
Age adjusted model	1	1.10 (1.02 to 1.19)	1.15 (1.07 to 1.24)	1.31 (1.21 to 1.41)	1.45 (1.35 to 1.56)	<0.001
Multivariate model	1	1.06 (0.98 to 1.15)	1.08 (1.00 to 1.17)	1.17 (1.08 to 1.26)	1.18 (1.09 to 1.28)	<0.001

We further estimated risk of coronary heart disease when 12:0, 14:0, 16:0, and 18:0 were isocalorically replaced by polyunsaturated fat, monounsaturated fat, whole grain carbohydrates, or plant proteins. As shown in figure 2, isocalorically replacing 1% energy from 16:0 with total polyunsaturated fat, whole grain carbohydrates, or plant proteins was significantly associated with a lower risk of coronary heart disease. Pooled hazard ratios of coronary heart disease were 0.88 (95% confidence interval 0.81 to 0.96; P=0.002), 0.90 (0.83 to 0.97; P=0.01), and 0.89 (0.82 to 0.97; P=0.01), respectively.

Fig 2 Multivariate adjusted hazard ratios of coronary heart disease after substitution of 1% of energy from individual SFAs by alternative nutrients, based on the Nurses’ Health Study (1984-2012) and Health Professionals Follow-up Study (1986-2010). Dots=hazard ratio point estimates; horizontal bars=95% confidence intervals; SFA=saturated fatty acid; 12:0=lauric acid; 14:0=myristic acid; 16:0=palmitic acid; 18:0=stearic acid; PUFA=polyunsaturated fatty acids; MUFA=monounsaturated fatty acids. Hazard ratios were adjusted for age, ethnicity (white, African American, Asian, and other ethnicity), smoking status (never, former, current (1-14, 15-24, or ≥25 cigarettes/day), or missing), alcohol intake (0, 0.1-4.9, 5.0-14.9, and >15.0 g/day in women; 0, 0.1-4.9, 5.0-29.9, and >30.0 g/day in men; or missing), family history of myocardial infarction (yes/no), menopausal status and postmenopausal hormone use (premenopause, postmenopause (never, former, or current hormone use), or missing, for women), physical activity (<3, 3.0-8.9, 9.0-17.9, 18.0-26.9, ≥27.0 metabolic equivalent of task (h/week); or missing), current aspirin use (yes/no), multivitamin use (yes/no), baseline hypertension, baseline hypercholesterolemia, body mass index (<23, 23-24.9, 25-29.9, 30-34.9, >35, or missing), total energy intake as sum of energy from all included macronutrients, energy from trans fat, energy from carbohydrate of non-whole grain sources, and energy from non-plant sources. For PUFA (polyunsaturated fatty acids) replacement, hazard ratios were further adjusted for MUFA (monounsaturated fatty acids), whole grain carbohydrates, plant proteins, and the sum of other SFAs. For MUFA replacement, hazard ratios were further adjusted for PUFA, whole grain carbohydrates, plant proteins, and the sum of other SFAs. For whole grain carbohydrate replacement, hazard ratios were further adjusted for PUFA, MUFA, plant proteins, and the sum of other SFAs. For plant protein replacement, hazard ratios were further adjusted for PUFA, MUFA, whole grain carbohydrates, and the sum of other SFAs. Study estimates from two cohorts were pooled using a fixed effects model

Corresponding to the reduction of 16:0 intake from the highest intake group to the lowest, estimated absolute risk reduction was 93.4 cases of coronary heart disease per 100 000 person years when 16:0 was replaced by polyunsaturated fat, 79.5 cases per 100 000 person years by whole grain carbohydrates, and 86.5 cases per 100 000 person years by plant proteins. For each 1% energy substitution for 16:0, the estimated absolute risk reductions were 34.4 cases per 100 000 person years for polyunsaturated fat, 28.7 cases per 100 000 person years for whole grain carbohydrates, and 31.5 cases per 100 000 person years for plant proteins.

There was also a non-significant trend towards a reduction in risk of coronary heart disease (hazard ratio 0.92 (95% confidence interval 0.84 to 1.01; P=0.07) when 1% energy from 18:0 was isocalorically replaced by polyunsaturated fat, which corresponded to 38.4 cases of coronary heart disease per 100 000 person years, an absolute risk reduction of 23.5 cases per 100 000 person years for 1% energy replacement.

After 12:0, 14:0, 16:0, and 18:0 were pooled together, isocaloric replacement of 12:0-18:0 by more healthy nutrients was associated with a reduced risk of coronary heart disease. Hazard ratios were 0.92 (95% confidence interval 0.89 to 0.96; P<0.001) for polyunsaturated fat, 0.95 (0.90 to 1.01; P=0.08) for monounsaturated fat, 0.94 (0.91 to 0.97; P<0.001) for whole grain carbohydrates, and 0.93 (0.89 to 0.97; P=0.001) for plant proteins. When mean 12:0-18:0 intake decreased from the highest intake group to the lowest, absolute risk reduction was estimated to be 106.2 cases of coronary heart disease per 100 000 person years when replaced by polyunsaturated fat, 70.9 cases per 100 000 person years by monounsaturated fat, 83.2 cases per 100 000 person years by whole grain carbohydrates, and 94.9 cases per 100 000 person years by plant proteins. For each 1% energy substitution, these risk reductions were 23.4 cases per 100 000 person years for polyunsaturated fat, 14.6 cases per 100 000 person years for monounsaturated fat, 17.5 cases per 100 000 person years for whole grain carbohydrates, and 20.4 cases per 100 000 person years for plant proteins. There was no significant heterogeneity in results between the two cohorts.

Substitution analysis was stratified by age, body mass index, physical activity, and smoking status (supplementary table 2), and all P values for interaction were greater than 0.05. Associations between SFA intake and risk of coronary heart disease were similar when baseline body mass index was adjusted as a covariate (supplementary table 3), but were slightly attenuated when incident hypertension, hypercholesterolemia, and diabetes diagnosed during follow-up were further adjusted (supplementary table 4). Exclusion of probable fatal cases of coronary heart disease (n=790) did not materially change the main findings (supplementary table 5).

Discussion

Principal findings

In two large prospective cohorts of US men and women, dietary intakes of major individual SFAs—including lauric acid (12:0), myristic acid (14:0), palmitic acid (16:0), and stearic acid (18:0)—were positively associated with risk of coronary heart disease during 24-28 years of follow-up. Replacement of 1% daily energy intake from the combined group of 12:0-18:0 by equivalent energy from polyunsaturated fat, whole grain carbohydrates, or plant proteins was associated with a 6-8% reduced risk of coronary heart disease. The same replacement of 16:0 was associated with 10-12% reduction in risk.

Strengths and weaknesses in relation to other studies

The present analysis, to our knowledge, provides the largest observational study so far to examine the association between intake of individual SFAs and risk of coronary heart disease. An early ecological study showed that populations with higher intakes of 12:0, 14:0, 16:0, and 18:0 had a higher mortality from coronary heart disease, but it is not clear whether these associations were independent of other lifestyle and dietary factors.¹³ In a case-control study of 933 Costa Rican people, dietary intake of 12:0, 14:0, 16:0, and 18:0 was positively associated with prevalent acute myocardial infarction, even after adjustment for unsaturated fat, trans fat, and proteins.¹² Two recent studies from the Netherlands reported largely diverging findings. In the European Prospective Investigation into Cancer and Nutrition study, intakes of 4:0-10:0 and 12:0 were inversely associated with ischemic heart disease risk,¹⁴ but no associations were found for 14:0, 16:0, and 18:0. However, in the Rotterdam study, only 16:0 intake was associated with higher risk of coronary heart disease.¹⁵ Based on a 14-year follow-up in the Nurses’ Health Study, our previous analysis showed that risk of coronary heart disease was 29% higher when intake of 12:0-18:0 increased by 5% energy.¹¹ In the current study, which had extended follow-up in the Nurses’ Health Study and additional data from the Health Professionals Follow-up Study, our analyses replicated the finding that substitution of healthy macronutrients for 12:0-18:0 was associated with a reduced risk of coronary heart disease.

In a meta-analysis of prospective studies, de Souza and colleagues did not find significant associations between total saturated fat intake and coronary heart disease, but noticed large heterogeneity among estimates from different studies.³ The most plausible reason for such heterogeneity is the inconsistent adjustment of covariates (especially macronutrients) in the individual studies.³ As a result, the associations could reflect the effects of substituting SFA for various other macronutrients (depending on the statistical modeling in individual studies), with mixed health effects. Most importantly, without a specified replacement, the comparison is largely with refined starch and sugar because these are the dominant sources of calories in the US diet.

Our previous analysis in the Nurses’ Health Study and the Health Professionals Follow-up Study found a consistently lower risk of coronary heart disease when total saturated fat was replaced by polyunsaturated fat, monounsaturated fat, or whole grain carbohydrates, whereas replacing SFAs with refined carbohydrate was not associated with a lower risk.⁷ A previous pooling analysis of 11 prospective cohort studies that specified the substituting macronutrient also observed that incidence of coronary heart disease and mortality was 26% and 13% lower, respectively, when 5% energy from saturated fat was replaced by polyunsaturated fat.⁵ Such findings are in line with a meta-analysis of eight large clinical trials reporting that replacement of 5% energy as saturated fat with polyunsaturated fat led to a 19% reduction in coronary heart disease risk during a median follow-up duration of 4.5 years.⁶

Possible explanations and implications

Mensink recently updated the meta-analysis of clinical trials on individual SFA intakes and blood lipids, and found that replacing 1% energy from carbohydrates with 16:0 was associated with 0.04 mmol/L increase in LDL cholesterol (P<0.001), but no significant change was observed for 18:0 (−0.003 mmol/L, P=0.61).¹⁰ This difference could be one reason for the stronger associations between 16:0 and coronary heart disease in the present substitution model. Alternatively, given that relative risks for individual SFAs were not largely different in our study (especially those for 16:0 and 18:0), stronger association for 16:0 might simply reflect much higher intake of 16:0 relative to other SFAs, thus enabling more robust risk estimates. We also found that the risk of coronary heart disease was lower when 18:0 was replaced by polyunsaturated fat among women, but not in men or in the pooled data, nor was the between-study heterogeneity significant. In intervention studies, both 12:0 and 14:0 increase LDL cholesterol when replacing energy from carbohydrate.¹⁰ However, replacement of 12:0-14:0 with other beneficial macronutrients was not associated with a reduced risk of coronary heart disease in the current study, which could be explained by a much lower abundance of 12:0 and 14:0 in the diet.¹⁰ In addition, we cannot exclude the possibility that the non-significant findings regarding 12:0 and 14:0 were due to collinearity among SFAs.

Collectively, our study supports current dietary guidelines that focus on reducing total saturated fat intake with unsaturated fats, which for example, can be achieved by replacing animal fats (eg, butter, lard) with vegetable oils high in unsaturated fat (eg, olive oil, canola oil). Some snacks (eg, crackers, chips, and popcorns), bakery products (eg, cakes, cookies, and pastry), and table spread (eg, margarine) are also important dietary sources of SFAs,³¹ because the production and storage of these foods require fat that is stable at room or cooking temperature.³² These foods are produced not only by food industry but also by small scale workshops (such as bakeries), restaurants, and home cooking, and could vary substantially in terms of individual SFA contents depending on the specific fats and oils used.³³³⁴

Palm oil, the most commonly produced edible oil in the world, contains over 40% fat as 16:0, whereas coconut oil and palm kernel oil are high in 12:0 (over 45% fat).³³ Therefore, it is feasible to modulate the fatty acid profiles of foods by selecting oils or fats used in preparation.³³ Several lines of evidence have suggested increased use of palm oil in food production, especially in developing countries,³⁵ and higher 16:0 contents in snacks and bakery products over the past years.³⁶³⁷ Such trends might lead to adverse consequences,⁹ and calls for integrated and effective solutions that involve food producers, consumers, and policymakers. According to an economic-epidemiological model, taxation on palm oil in India could prevent 363 000 cardiovascular deaths over 10 years.³⁵ Meanwhile, whether fats and oils high in 18:0 could be less harmful substitutes for trans fat and other SFAs remains to be confirmed.³⁸³⁹

Strengths and weaknesses

The strengths of our study include large sample sizes; long follow-up duration; repeated measurements of diet, lifestyle, and health status; and the use of cumulative average intakes of nutrients to reflect long term diet.²¹ Several limitations should be discussed as well. Firstly, although we adjusted for a multitude of covariates, including demographic characteristics, lifestyle, medical history, and dietary factors, potential unmeasured and residual confounding cannot be excluded. Secondly, our study populations exclusively consisted of health professionals with a relatively homogeneous ethnic background and socioeconomic status. Although this renders the study results less susceptible to confounding by ethnicity and socioeconomic factors, such homogeneity could limit the generalizability of findings to other ethnic groups or populations with different socioeconomic profiles. Thirdly, dietary data derived from food frequency questionnaires are measured, inevitably, with errors. Because of the prospective design, these errors are most likely to bias true associations towards the null. Lastly, it is difficult to disentangle associations of individual SFAs that are highly correlated with each other in this observational study setting. Potential differential effects of individual SFAs on cardiovascular risk warrant further investigation in other cohort studies.

Conclusion

In summary, we found dietary replacement of 12:0-18:0 with more healthy macronutrients—such as polyunsaturated fat and whole grain carbohydrates—was associated with a lower risk of coronary heart disease. Particularly, the replacement of 16:0 with these beneficial macronutrients was associated with the lowest risk. Owing to high correlations among individual SFAs in diet, these findings support the current dietary recommendations that focus on replacement of total saturated fat as an effective approach to preventing cardiovascular disease. The public health and clinical significance of modulating the content of individual SFAs in specific foods should be further evaluated.

What is already known on this topic

• Saturated fat intake is a risk factor for coronary heart disease, and the replacement of saturated fat with unsaturated fat or whole grains has been associated with lower disease risk

• Intervention studies have found that major saturated fatty acids in the diet, including lauric acid (12:0), myristic acid (14:0), palmitic acid (16:0), and stearic acid (18:0), had different effects on blood lipids

• Little is known about association between intake of individual saturated fatty acids and risk of coronary heart disease in large cohort studies

What this study adds

• Lauric acid, myristic acid, palmitic acid, and stearic acid are associated with an increased risk of coronary heart disease, after multivariate adjustment of covariates

• Risk of coronary heart disease is significantly lower when replacing the sum of these four major saturated fatty acids with polyunsaturated fat, whole grain carbohydrates, or plant proteins, with the lowest risk observed when palmitic acid, the most abundant saturated fatty acid, was replaced

• Because intake of major saturated fatty acids are highly correlated, current dietary recommendations should focus on replacing total saturated fat with unsaturated fats or whole grain carbohydrate, as an effective approach towards preventing coronary heart disease

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Appendix: Supplementary tables

Notes

Contributors: QS, WCW, and FBH obtained funding from the National Institutes of Health. QS and FBH designed the study. QS, WCW, and FBH were involved in data collection. GZ, YL, and QS provided statistical expertise. GZ analysed the data and wrote the first draft of the manuscript. All authors contributed to the interpretation of the results and critical revision of the manuscript for important intellectual content and approved the final version of the manuscript. GZ and QS are the guarantors of this investigation.

Funding: This study was funded by research grants UM1 CA186107, R01 HL034594, R01 HL35464, R01 HL60712, and UM1 CA167552 from the National Institutes of Health. QS was supported by a career development award (R00-HL098459) from the National Heart, Lung, and Blood Institute. The sponsors have no role in: the study design; the collection, analysis, or interpretation of data; the writing of the report; or in the decision to submit the article for publication.

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support from the National Institutes of Health for the submitted work; GZ is supported by a postdoctoral fellowship funded by Unilever R&D, Vlaardingen, Netherlands; AJW, MA, and PLZ are employees of Unilever R&D (Unilever is a producer of food consumer products); FBH has received research support from California Walnut Commission and Metagenics; no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: The study protocol was approved by the institutional review boards of the Brigham and Women's Hospital and the Harvard T H Chan School of Public Health. The completion of the self-administered questionnaire was considered to imply informed consent.

Data sharing: No additional data available.

The lead author confirms that the manuscript is an honest, accurate and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

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