Dietary Fat and Risk of Coronary Heart Disease: Possible Effect Modification by Gender and Age

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1 American Journal of Epidemiology Copyright 2004 by the Johns Hopkins Bloomberg School of Public Health All rights reserved Vol. 160, No. 2 Printed in U.S.A. DOI: /aje/kwh193 Dietary Fat and Risk of Coronary Heart Disease: Possible Effect Modification by Gender and Age Marianne U. Jakobsen 1,2, Kim Overvad 3,4,5, Jørn Dyerberg 6, Marianne Schroll 1,2, and Berit L. Heitmann 1 1 Research Unit for Dietary Studies and Danish Epidemiology Science Centre, Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark. 2 Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark. 3 Department of Clinical Epidemiology, Aalborg Hospital, Aalborg, Denmark. 4 Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark. 5 Department of Epidemiology and Social Medicine, University of Aarhus, Aarhus, Denmark. 6 Department of Human Nutrition, Royal Veterinary and Agricultural University, Frederiksberg, Denmark. Received for publication September 30, 2003; accepted for publication February 23, In a 16-year follow-up study (ending in 1998) of 3,686 Danish men and women aged years at recruitment, the association between energy intake from dietary fat and the risk of coronary heart disease was evaluated while assessing the possible modifying role of gender and age. In the models used, total energy and protein intake were fixed. Differences in intake of energy from fat thus reflected complementary differences in intake of energy from. A 5% higher level of energy from saturated fat intake was associated with a 36% greater risk of coronary heart disease among women (hazard ratio (HR) = 1.36, 95% confidence interval (CI): 0.98, 1.88). No overall association between saturated fat and coronary heart disease was found among men. However, age-dependent analyses showed that saturated fat was positively associated with coronary heart disease among the younger men (HR = 1.29, 95% CI: 0.87, 1.91) and the younger women (HR = 2.68, 95% CI: 1.40, 5.12) but not among the older men (HR = 0.94, 95% CI: 0.70, 1.28) and the older women (HR = 1.22, 95% CI: 0.86, 1.71). Polyunsaturated fat was inversely associated with coronary heart disease among women and men, although not significantly. In conclusion, the present study suggests that coronary heart disease risk relates to both the quantity and the quality of dietary fats. ; coronary disease; fatty acids Abbreviations: CI, confidence interval; HR, hazard ratio. The association between dietary fat and risk of coronary heart disease is a subject of debate, especially whether coronary heart disease risk relates to both the quantity and the quality of dietary fats. Prospective cohort studies have investigated the associations between the intake of total dietary fat and the major types of dietary fat and the risk of coronary heart disease with inconsistent results. Total fat intake was positively associated with risk of coronary heart disease in four studies (1 4), whereas six studies found no association (5 10). A positive association between saturated fat intake and risk of coronary heart disease was found in some studies (1 4, 11, 12), whereas others found no association (6, 8 10, 13, 14). An inverse association between monounsaturated fat intake and risk of coronary heart disease was found in one study (9), whereas two other studies found a positive association (2, 3). Three studies found that monounsaturated fat intake was not associated with coronary heart disease risk (6, 10, 14). Polyunsaturated fat intake was inversely associated with risk of coronary heart disease in three studies (9, 12, 13), whereas eight studies found no association (1 3, 6, 8, 10, 11, 14). One factor potentially contributing to the discrepancies observed across the studies may be the differences in the way of expressing fat intake and incomplete adjustment for intake of total energy and other types of fat, Correspondence to Marianne Uhre Jakobsen, Research Unit for Dietary Studies, Institute of Preventive Medicine, Kommunehospitalet, 1399 Copenhagen, Denmark ( mu@ipm.hosp.dk). 141

2 142 Jakobsen et al. FIGURE 1. Year of examination/reexamination ( ) and number of participants with information on diet in four population studies conducted at the Research Centre for Prevention and Health, Glostrup, Denmark, The Danish MONICA-I and MONICA-III (Monitoring of Trends and Determinants in Cardiovascular Disease) projects are a part of the multinational studies conducted under the auspices of the World Health Organization. leading to potential confounding and differences in the interpretations of the risk estimates. Moreover, effect modification by gender may contribute to the inconsistent findings, potentially because fat intake induces postprandial hypertriglyceridemia (15), which seems to be a stronger risk factor for death from coronary heart disease among women than among men (16). Finally, the age of the participants may contribute to the discrepancies. Older participants may be a selected group who may be less vulnerable to environmental factors. The aims of the present study were to describe the associations between the energy intake from total dietary fat and the major types of dietary fat and the risk of coronary heart disease, while assessing the potential effect-modifying role of gender and age. The results from the models used may be interpreted as substituting a specific amount of energy from fat for the same amount of energy from, thus contributing to the understanding of the role of dietary fat intake in the prevention of heart disease. In other words, this study may contribute to clarifying whether dietary prevention of heart disease should focus on both the quantity and the quality of dietary fats or on only the quantity. 300,000 inhabitants from the western suburbs of Copenhagen, Denmark (17). The four cohorts (figure 1) met the following two criteria: 1) usual dietary intake was determined using a 7-day weighed food record or a dietary history interview, and 2) information on intake of total fat and on intakes of saturated, monounsaturated, and polyunsaturated fat (major types of fat) was available. The participants were recruited and examined between 1964 and 1991, with a participation of from 70 percent to 88 percent. The examinations included self-administered questionnaires containing detailed questions regarding sociodemographic factors, lifestyle, and health, as well as a general health examination. Some of the participants have been reinvited and examined several times, and new participants were added to the 1914 cohort (figure 1). At the examination/reexamination, all or random subsets of the participants from the different cohorts were requested to provide further information regarding their habitual diet. In total, information on diet was obtained from 3,959 participants (figure 1). Exclusions MATERIALS AND METHODS Study population The present study is based on data from four population studies conducted at the Research Centre for Prevention and Health, which, since 1964, has followed different cohorts from the same background population of approximately Five persons for whom the recorded sum of saturated, monounsaturated, and polyunsaturated fat intake in grams was greater than the total fat intake in grams were excluded. Persons with a previous diagnosis of coronary heart disease (80 persons) and persons reporting diabetes mellitus (77 persons) were also excluded. The final population consisted of 3,797 persons examined between 1974 and 1993.

3 Dietary Fat and Coronary Heart Disease 143 Dietary variables A total of 3,553 participants were given comprehensive verbal and written instructions on how to complete a 7-day weighed food record and requested to complete it within 3 weeks. The remaining 244 participants underwent a dietary history interview by the same trained dietician. The interviews were conducted by asking nonleading, open-ended questions concerning dietary intake during the previous month. Quantities were explored by means of food models, photo series, and household measures. The dietary assessment methods have been described in detail previously, and it has been shown that the methods yield comparable data on habitual diet intake (18). The reproducibility and validity of the 7-day weighed food record method, as used in the population studies at the Research Centre for Prevention and Health, have been documented previously, demonstrating that this method provides a reproducible description of dietary habits regarding macronutrients and that the validity of the method, as assessed using nitrogen excretions, is good (19). Nutrient calculation into daily averages was done using the Micro Camp and DANKOST 1 computer programs (Danish Catering Center A/S, Herlev, Denmark) based on Danish food composition tables (20, 21). Nondietary covariates Information on family history of myocardial infarction, smoking habits, physical activity in leisure time, and education was obtained by a self-administered questionnaire. Family history of myocardial infarction was defined as persons reporting myocardial infarction in parents or siblings. Questions on smoking concerned current and previous habits and the kinds and average daily quantities of tobacco consumed. Smoking habits were classified into five categories: never smokers; former smokers; and current smokers of from 1 to less than 15 g of tobacco per day, from 15 to less than 25 g of tobacco per day, and 25 g of tobacco or more per day. Data on leisure-time physical activity were based on the participants marking of one of four alternatives: mostly sedentary; walking, bicycling, or otherwise active at a corresponding level at least 4 hours per week; doing jogging or demanding sports or doing heavy activity during leisure for at least 3 hours per week; and longdistance running or competitive sports several times per week. We defined people in group 1 as being sedentary and with the rest as being active. Education was assessed with questions about the highest grade or year of regular schooling and the highest degree earned, with classification in three categories: 0 7 years; 8 11 years; and 12 years or more. Systolic blood pressure, height, and weight were measured at the clinical examination. Systolic blood pressure was measured after at least 5 minutes rest. Body mass index was calculated as weight (kg)/height (m) 2. Identification of events Fatal and nonfatal coronary heart disease events were defined according to International Classification of Diseases, Eighth Revision, diagnosis codes until December 31, 1994, and subsequently by International Classification of Diseases, Tenth Revision, codes I20 I25. Cases were identified by record linkage to the National Patient Registry, including all hospitalizations since 1977 (22), and the Cause of Death Registry (23), including all deaths since Events ascertainment was made by review of medical files for the participants from the 1914 cohort who were included before 1977 (24). Documentation of the validity of the diagnosis of myocardial infarction (International Classification of Diseases, Eighth Revision, code 410) in the National Patient Registry and the Cause of Death Registry has been published earlier (25). The combination of the national registries was found to be a valid and powerful tool for monitoring the population incidence of myocardial infarction. Statistical analysis Analyses were carried out separately for women and men. Hazard ratios with 95 percent confidence intervals for fatal and nonfatal coronary heart disease were calculated using Cox s proportional hazard regression models with age as the underlying time variable and delayed entrance accordingly. The observation time for each participant was the period from the date of examination (participants from the 1936 cohort who underwent the examination in 1976 were followed from 1977) until the incidence of or mortality from coronary heart disease, death of another cause, date of emigration, or December 31, 1998, whichever came first. The analyses included the 3,686 persons (1,849 women and 1,837 men) who provided information on all potential confounding variables. Three models were used for investigation of the associations between intake of total fat and major types of fatty acids and risk of coronary heart disease. Model 1 included fat intake expressed as the percentage of total energy intake, in other words, as a nutrient density term, and total energy intake as a separate term. This approach, referred to as the nutrient density model (26), eliminates the effect of energy intake when assessing the association between fat intake and coronary heart disease. This model also included cohort identification as a covariate. Model 2a included the variables of model 1 plus the percentage of energy derived from protein and the percentages of energy derived from the other major types of fatty acids (in analyses where the major types of fatty acids were the variables of interest). Model 2b included the variables of model 2a plus nondietary and dietary coronary heart disease risk factors: familial history of myocardial infarction (yes, no, do not know); smoking (never smokers, former smokers, and current smokers of 1 <15 g of tobacco per day and 15 g of tobacco per day); leisure-time physical activity (sedentary, active); educational attainment (0 7 years, 8 years or more); alcohol (grams per day) (nondrinkers, drinkers by tertiles); dietary fiber (grams per megajoule per day) (as a continuous vari-

4 144 Jakobsen et al. TABLE 1. Baseline characteristics and risk factors for coronary heart disease among 3,686 Danish women and men aged years who participated in a 16-year prospective study ending in 1998 * MJ, megajoule. able); and dietary cholesterol (mg per megajoule per day) (as a continuous variable). Adjustments of systolic blood pressure and body mass index were expanded beyond simple linear approaches to include flexible curves via spline regression (27) that make use of intracategory information. The knots were defined using equal events in each line segment. The actual values of systolic blood pressure knots were 122, 134, and 152 mmhg among women and 120, 132, and 150 mmhg among men. The actual values of body mass index knots were 22, 24, and 28 kg/m 2 among women and 24, 26, and 28 kg/m 2 among men. A covariate (cohort identification and covariates in models 2a and 2b) was included if it changed the beta coefficient for the dietary variable of interest 10 percent or more. This strategy was chosen because of the limited number of cases. For every Cox model, we checked the proportional hazard assumption with a smoothed plot of scaled Schoenfeld residuals versus time. Statistical interaction between gender and fat intake was tested using the likelihood ratio test in a model stratified by gender. The estimated hazard ratios for total fat and the major types of fatty acids in model 1 may be interpreted as the estimated differences in risk for a 5 percent higher level of energy from fat where, for a fixed total energy intake, the complementary 5 percent lower intake of energy comes from other nonspecified sources of energy. In contrast, the results of models 2a and 2b may be interpreted as the estimated differences in risk for a 5 percent higher level of energy from fat, where the lower intake of energy is due to a lower intake of energy from. In other words, the results Women by percentiles may be interpreted as substituting 5 percent of energy from fat for the same amount of energy from. Further, when studying the risk associated with 5 percent higher intake of polyunsaturated fatty acids, we added the percentage of energy from to model 2a and model 2b, and we removed the percentage of energy from saturated fatty acids from the models. The results of models 2a and 2b may in this case be interpreted as the estimated differences in risk for a 5 percent higher level of energy from polyunsaturated fat, where the lower intake of energy is due to a lower intake of energy from saturated fat. To evaluate the age-related differences in coronary heart disease, we added a time (age)-dependent variable to the models that allows for different associations between fat intake and risk of coronary heart disease for the two age bands of less than 60 years and 60 years or more. This variable was added because previous studies have shown an agerelated difference (2, 3), and because the plot of scaled Schoenfeld residuals versus time suggested an age-related difference. Statistical interaction between age band and fat intake was tested using the likelihood ratio test. Data analyses were performed using Stata statistical software, release 7.0 (Stata Corporation, College Station, Texas). RESULTS Men by percentiles Age (years) Body mass index (kg/m 2 ) Systolic blood pressure (mmhg) Serum total cholesterol (mmol/liter) Serum triglyceride (mmol/liter) Alcohol (g/day) Daily nutrient intake Cholesterol (mg/mj*) Fiber (g/mj) Total energy (MJ) % of energy from Total protein Total carbohydrate Total fat Saturated fatty acids Monounsaturated fatty acids Polyunsaturated fatty acids Characteristics of the participants are given in table 1. During the 7 22 years (median, 16 years) of follow-up from 1974 to 1998, 326 participants (98 women and 228 men)

5 Dietary Fat and Coronary Heart Disease 145 TABLE 2. Risk of coronary heart disease according to intake of 5% higher level of energy from dietary fat in a 16-year prospective study (ending in 1998) of 3,686 Danish women and men aged years Women (98 CHD* events) Men (228 CHD events) HR* 95% CI* HR 95% CI Total fat Model , , 1.10 Total fat for Model 2a , , 1.10 Model 2b , , 1.10 Saturated fatty acids Model , , 1.23 Saturated fat for Model 2a , , 1.21 Model 2b , , 1.37 Monounsaturated fatty acids Model , , 1.33 Monounsaturated fat for Model 2a , , 1.66 Model 2b , , 1.40 Polyunsaturated fatty acids Model , , 1.20 Polyunsaturated fat for Model 2a , , 1.18 Model 2b , , 1.15 Polyunsaturated fat for saturated fat Model 2a , , 1.18 Model 2b , , 1.15 * CHD, coronary heart disease; HR, hazard ratio; CI, confidence interval. Model 1 included the variable of interest as the percentage of total energy intake (5% unit), total energy intake (megajoule), and cohort identification. Model 2a included the variables of model 1 plus the percentage of energy derived from protein and the percentages of energy derived from the other major types of fatty acids (in analyses where the major types of fatty acids were the variables of interest). When we studied the difference in risk associated with a higher level of polyunsaturated fat, where the lower intake of energy is due to a lower intake of energy from saturated fat, the percentage of energy from was added to model 2a, and the percentage of energy from saturated fatty acids was removed from the model. Model 2b included the variables of model 2a and the other nondietary and dietary coronary heart disease risk factors. with fatal or nonfatal events of coronary heart disease were identified (table 2). The following results are the estimated differences in risk for a 5 percent higher level of energy from fat, where the lower intake of energy is due to a lower intake of energy from. All the hazard ratios are multivariate adjusted. Among women, the percentage of energy derived from saturated fat was borderline significantly positively associated with the risk of coronary heart disease (hazard ratio (HR) = 1.36, 95 percent confidence interval (CI): 0.98, 1.88) (table 2). The hazard ratio for percentage of energy from monounsaturated fat was 1.01 (95 percent CI: 0.56, 1.83) (table 2). In age-dependent analyses (table 3), energy from total fat was associated with a 74 percent greater risk of coronary heart disease among the younger women (HR = 1.74, 95 percent CI: 1.15, 2.64), whereas there was no association between total fat and risk of coronary heart disease among the older women (HR = 1.05, 95 percent CI: 0.86, 1.28). The p value for effect modification by age was Energy from

6 146 Jakobsen et al. TABLE 3. Age-related risk of coronary heart disease according to intake of 5% higher level of energy from dietary fat in a 16-year prospective study (ending in 1998) of 3,686 Danish women and men aged years Women <60 years 60 years <60 years 60 years HR* 95% CI* HR 95% CI HR 95% CI HR 95% CI Total fat Model , , , , 1.07 Total fat for Model 2a , , , , 1.06 Model 2b , , , , 1.06 Saturated fatty acids Model , , , , 1.17 Saturated fat for Model 2a , , , , 1.14 Model 2b , , , , 1.28 Monounsaturated fatty acids Model , , , , 1.24 Monounsaturated fat for Model 2a , , , , 1.53 Model 2b , , , , 1.28 Polyunsaturated fatty acids Model , , , , 1.16 Polyunsaturated fat for Model 2a , , , , 1.14 Model 2b , , , , 1.10 Polyunsaturated fat for saturated fat Model 2a , , , , 1.14 Model 2b , , , , 1.10 * HR, hazard ratio; CI, confidence interval. Model 1 included the variable of interest as the percentage of total energy intake (5% unit), total energy intake (megajoule), and cohort identification. Model 2a included the variables of model 1 plus the percentage of energy derived from protein and the percentages of energy derived from the other major types of fatty acids (in analyses where the major types of fatty acids were the variables of interest). When we studied the difference in risk associated with a higher level of polyunsaturated fat, where the lower intake of energy is due to a lower intake of energy from saturated fat, the percentage of energy from was added to model 2a, and the percentage of energy from saturated fatty acids was removed from the model. Model 2b included the variables of model 2a and the other nondietary and dietary coronary heart disease risk factors. Men saturated fat was strongly positively associated with risk of coronary heart disease among the younger (HR = 2.68, 95 percent CI: 1.40, 5.12), but not among the older (HR = 1.22, 95 percent CI: 0.86, 1.71), women (table 3). The p value for effect modification by age was The percentage of energy derived from monounsaturated fat was positively associated with risk of coronary heart disease among the younger (HR = 2.56, 95 percent CI: 1.15, 5.73), but not among the older (HR = 0.75, 95% CI: 0.40, 1.41), women (table 3). The p value for effect modification by age was There was an inverse trend between the percentage of energy derived from polyunsaturated fat and risk of coronary heart disease among women (table 2). This trend was stronger when the lower intake of energy was due to a lower intake of energy from saturated fat (HR = 0.71, 95 percent CI: 0.42, 1.18) than when the lower intake of energy was due to a lower intake of energy from (HR = 0.89, 95 percent CI: 0.42, 1.18) (table 2). Among men, there were no associations between total fat and the major types of fat and risk of coronary heart disease (table 2). However, there was a positive trend between the percentage of energy derived from saturated fat and risk of

7 Dietary Fat and Coronary Heart Disease 147 coronary heart disease among the younger men (HR = 1.29, 95 percent CI: 0.87, 1.91) but not among the older men (HR = 0.94, 95 percent CI: 0.70, 1.28) (table 3). The p value for effect modification by age was The same pattern was seen for total fat (among the younger men: HR = 1.15, 95 percent CI: 0.93, 1.41; among the older men: HR = 0.93, 95 percent CI: 0.81, 1.06; p value for effect modification by age = 0.05) and for monounsaturated fat (among the younger men: HR = 1.37, 95 percent CI: 0.78, 2.40; among the older men: HR = 0.85, 95 percent CI: 0.57, 1.28; p value for effect modification by age = 0.09) (table 3). There was an inverse trend between the percentage of energy derived from polyunsaturated fat and risk of coronary heart disease among the older men (table 3). This trend was the same, whether the lower intake of energy was due to a lower intake of energy from saturated fat or from (HR = 0.72, 95 percent CI: 0.47, 1.10) (table 3). There was no effect modification by gender in the whole sample (p values not shown). However, in age-dependent analyses, the association between total fat and risk of coronary heart disease was modified by gender among the younger (p = 0.12) and among the older (p = 0.17) participants; for saturated fat, the p values were 0.10 among the younger and 0.19 among the older participants; for monounsaturated fat, the p values were 0.15 among the younger and 0.19 among the older participants. DISCUSSION In the present study, a 5 percent higher level of energy intake from saturated fat was associated with a 36 percent greater risk of coronary heart disease among women, whereas no overall association was found among men. However, age-dependent analyses among men showed a positive trend between saturated fat and risk of coronary heart disease among the younger but not among the older men. The same pattern, and even stronger, was seen among women. There was an inverse trend between polyunsaturated fat intake and risk of coronary heart disease among women and among the older men. Among women, the trend was stronger when the lower intake of energy was due to a lower intake of energy from saturated fat than when the lower intake of energy was due to a lower intake of energy from, highlighting the importance of the quality of dietary fats. A number of limitations should be noted. First, the small number of cases caused wide confidence intervals and limited the possibility to further assess possible effect modification. Second, a potential source of random error arises from the assessment of dietary intake. Seven days may be too short a period to give information on the habitual food intake. However, with regard to nutrients that are consumed in a relatively large amount daily (e.g., protein, fats,, and fiber), a 7-day weighed food record classifies about 80 percent in the top and bottom thirds of the distribution correctly (28). Finally, in the present study only baseline information regarding dietary habits was available. The effect of changes in dietary habits could therefore not be assessed. Information bias is not likely to have affected the study, as cases were identified by record linkage to the National Patient Registry (22) and the Cause of Death Registry (23), and diagnoses were established independently of the dietary habits of the participants. Only 11.5 percent were lost to follow-up, and selection bias is therefore unlikely to have affected the study. Control for confounding did not change the estimates for total fat and the major types of fats considerably. Residual confounding is therefore unlikely. However, in observational studies, diets differing in fat content both quantitatively and qualitatively inevitably differ in other dietary constituents that may influence coronary heart disease risk. We decided to respect the observational nature of this study and not to try to control for these potential confounders. The gender-related difference in the association between saturated fat intake and risk of coronary heart disease found in the present study is to some extent supported by findings from a recent prospective cohort study among women and men (4) and from some prospective cohort studies examining women (9) or men (6, 8, 10, 13, 14) separately. However, in the study by Hu et al. (9), the positive association between saturated fat intake and risk of coronary heart disease among women was weak and not statistically significant. In contrast to the present findings, some others have found a positive association between saturated fat intake and coronary heart disease among men (1, 11, 12). Several explanations may account for the effect modification by gender. One explanation may be differences in baseline risk. Because the magnitude of the relative effect depends on the magnitude of the baseline risk, the same absolute effect in two populations can correspond to greatly differing relative associations (29). Another possibility is that intakes of complementary were qualitatively different between the genders. In the present study, only types of fat, but not types of, were considered. Finally, there may be a biologic interaction. Fats produce postprandial hypertriglyceridemia (15), and a raised nonfasting concentration of triglycerides seems to be a stronger risk factor for death from coronary heart disease among women than among men (16). However, the increased risk of coronary heart disease associated with high-fat diet s causing postprandial hypertriglyceridemia may, in part, be counterbalanced by the cis-monounsaturated and n-6 polyunsaturated fatty acids positive effect on serum low-density lipoprotein cholesterol (30) and n-3 fatty acids positive effect on other risk factors for coronary heart disease (31, 32). Epidemiologic studies on age-related differences in the association between fat intake and risk of coronary heart disease are sparse. Only two prospective studies have been published (2, 3). In agreement with the present study, these studies found that risk of coronary heart disease increased with higher intakes of total, saturated, and monounsaturated fat among the younger, but not among the older, participants. Differences in baseline risk may be an explanation. It is also possible that older participants may be a selected group (a large number of the study base has already died or has been excluded because of coronary heart disease) and may be less vulnerable to environmental factors.

8 148 Jakobsen et al. A potentially important factor contributing to the discrepancies across the prospective studies is differences in the ways of expressing fat intake (as relative or absolute) and whether intake of total energy and other types of fat has been controlled for. The strategy used for the analyses in the present study has been used in only one previous study (9). We expressed fat intake as energy percentage and included total energy intake and percentages of energy from saturated, monounsaturated, and polyunsaturated fat in the models because of extraneous variation and potential confounding. This also allowed us to estimate the difference in risk for a higher level of energy from the major types of fat, where the lower intake of energy was due to a lower intake of energy from. As pointed out by Kipnis et al. (33) and Willett et al. (26), the beta coefficient of the macronutrient of interest in the energy-adjusted model has a substitution interpretation (in its continuous version): It represents the change in disease incidence associated with substitution of one unit of that macronutrient for an equivalent amount of energy from other macronutrients. Consequently, adjusting for total energy excludes the possibility of addressing hypotheses on the effects of increased intake of selected nutrients (34). The effect of one nutrient can be assessed only in relation to another. The present study showed that we may be able to provide evidence that saturated fat increases risk more than do, but we cannot, as also emphasized by Freedman et al. (34), predict whether fat promotes disease or whether prevent disease. In the present study, monounsaturated fat intake seems to be associated with increased coronary heart disease risk among the younger participants. This relation is unclear. However, it may, in part, be due to intake of trans fatty acids, which is included in the sum of monounsaturated fatty acids. Trans fatty acids have a negative effect on the serum total: high density lipoprotein cholesterol ratio when dietary are replaced by trans fatty acids under isoenergetic conditions, whereas monounsaturated fatty acids have a positive effect on the total:high density lipoprotein cholesterol ratio when are replaced by monounsaturated fatty acids (30). Further, intake of trans fat has been shown to be positively associated with risk of coronary heart disease (35), whereas intake of monounsaturated fat has been shown to be inversely associated with risk of coronary heart disease (9). However, Rudel et al. (36) demonstrated that primates on a monounsaturated diet developed more atherosclerosis than those on a polyunsaturated diet (corresponding to those fed the saturated diet) despite a more favorable lipid profile. That the estimated differences in risk for a 5 percent higher level of energy from polyunsaturated fat were the same, whether the lower intake of energy was from or saturated fat among men, may be due to the weak association between saturated fat and coronary heart disease found among men. We estimated the difference in risk for a higher level of energy from fat, where the lower intake of energy was due to a lower intake of energy from. The usual mix of in the Western diet contains many highglycemic foods, such as potatoes and baked goods. The possibility remains that the positive association between saturated fat intake and risk of coronary heart disease would have been even stronger if compared with a mix of from low-glycemic foods, such as whole grain cereals and vegetables. Future studies need to address this. In conclusion, our data suggest that coronary heart disease risk relates to both the quantity and the quality of dietary fats rather than only the quantity of fat. In future studies, it is recommended that the study populations be subdivided according to gender and age to account for possible effect modification. ACKNOWLEDGMENTS This study was financed by the Danish Heart Foundation (grants F and ) and the Female Researchers in Joint Action (FREJA) program from the Danish Medical Research Council. The establishment of the Research Unit for Dietary Studies was also financed by the FREJA program. REFERENCES 1. McGee DL, Reed DM, Yano K, et al. Ten-year incidence of coronary heart disease in the Honolulu Heart Program. Relationship to nutrient intake. Am J Epidemiol 1984;119: Posner BM, Cobb JL, Belanger AJ, et al. Dietary lipid predictors of coronary heart disease in men. The Framingham Study. Arch Intern Med 1991;151: Esrey KL, Joseph L, Grover SA. Relationship between dietary intake and coronary heart disease mortality: Lipid Research Clinics Prevalence Follow-Up Study. J Clin Epidemiol 1996; 49: Boniface DR, Tefft ME. Dietary fats and 16-year coronary heart disease mortality in a cohort of men and women in Great Britain. Eur J Clin Nutr 2002;56: Morris JN, Marr JW, Clayton DG. Diet and heart: a postscript. Br Med J 1977;2: Garcia-Palmieri MR, Sorlie P, Tillotson J, et al. Relationship of dietary intake to subsequent coronary heart disease incidence: the Puerto Rico Heart Health Program. Am J Clin Nutr 1980; 33: Fehily AM, Yarnell JWG, Sweetnam PM, et al. Diet and incident ischaemic heart disease: the Caerphilly Study. Br J Nutr 1993;69: Ascherio A, Rimm EB, Giovannucci EL, et al. Dietary fat and risk of coronary heart disease in men: cohort follow up study in the United States. BMJ 1996;313: Hu FB, Stampfer MJ, Manson JE, et al. Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med 1997;337: Pietinen P, Ascherio A, Korhonen P, et al. Intake of fatty acids and risk of coronary heart disease in a cohort of Finnish men. The Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Am J Epidemiol 1997;145: Kushi LH, Lew RA, Stare FJ, et al. Diet and 20-year mortality from coronary heart disease. The Ireland-Boston Diet-Heart Study. N Engl J Med 1985;312: Goldbourt U, Yaari S, Medalie JH. Factors predictive of longterm coronary heart disease mortality among 10,059 male Israeli civil servants and municipal employees. A 23-year mor-

9 Dietary Fat and Coronary Heart Disease 149 tality follow-up in the Israeli Ischemic Heart Disease Study. Cardiology 1993;82: Shekelle RB, Shryock AM, Paul O, et al. Diet, serum cholesterol, and death from coronary heart disease. The Western Electric study. N Engl J Med 1981;304: Kromhout D, de Lezenne Coulander C. Diet, prevalence and 10-year mortality from coronary heart disease in 871 middleaged men. The Zutphen Study. Am J Epidemiol 1984;119: Zilversmit DB. Atherogenesis: a postprandial phenomenon. Circulation 1979;60: Stensvold I, Tverdal A, Urdal P, et al. Non-fasting serum triglyceride concentration and mortality from coronary heart disease and any cause in middle aged Norwegian women. BMJ 1993;307: Schroll M, Jorgensen T, Ingerslev J. The Glostrup Population Studies, Dan Med Bull 1992;39: Hoidrup S, Andreasen AH, Osler M, et al. Assessment of habitual energy and macronutrient intake in adults: comparison of a seven day food record with a dietary history interview. Eur J Clin Nutr 2002;56: Jorgensen LM, Isaksson B, Schroll M. Reproducibility and validity of 7-day food records. Eur J Clin Nutr 1992;46: Møller A. Food composition tables (In Danish). Søborg, Denmark: National Food Agency, Møller A. Food composition tables (In Danish). Søborg, Denmark: National Food Agency, Andersen TF, Madsen M, Jorgensen J, et al. The Danish National Hospital Register. A valuable source of data for modern health sciences. Dan Med Bull 1999;46: Juel K, Helweg-Larsen K. The Danish registers of causes of death. Dan Med Bull 1999;46: Schroll M. A ten-year prospective study, , of cardiovascular risk factors in men and women from the Glostrup population born in Dan Med Bull 1982;29: Madsen M, Davidsen M, Rasmussen S, et al. The validity of the diagnosis of acute myocardial infarction in routine statistics. A comparison of mortality and hospital discharge data with the Danish MONICA registry. J Clin Epidemiol 2003;56: Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 1997; 65(suppl):1220S 8S. 27. Greenland S. Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology 1995;6: Marr JW, Heady JA. Within- and between-person variation in dietary surveys: number of days needed to classify individuals. Hum Nutr Appl Nutr 1986;40: Greenland S, Rothman KJ. Measures of effect and measures of association. In: Rothman KJ, Greenland S, eds. Modern epidemiology. Philadelphia, PA: Lippincott-Raven Publishers, 1998: Mensink RP, Zock PL, Kester ADM, et al. Effects of dietary fatty acids and on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a metaanalysis of 60 controlled trials. Am J Clin Nutr 2003;77: Christensen JH, Christensen MS, Dyerberg J, et al. Heart rate variability and fatty acid content of blood cell membranes: a dose-response study with n-3 fatty acids. Am J Clin Nutr 1999; 70: von Schacky C. n-3 fatty acids and the prevention of coronary atherosclerosis. Am J Clin Nutr 2000;71(suppl):224S 7S. 33. Kipnis V, Freedman LS, Brown CC, et al. Interpretation of energy adjustment models for nutritional epidemiology. Am J Epidemiol 1993;137: Freedman LS, Kipnis V, Brown CC, et al. Comments on Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 1997;65(suppl):1229S 31S. 35. Oomen CM, Ocké MC, Feskens EJM, et al. Association between trans fatty acid intake and 10-year risk of coronary heart disease in the Zutphen Elderly Study: a prospective population-based study. Lancet 2001;357: Rudel LL, Parks JS, Sawyer JK. Compared with dietary monounsaturated and saturated fat, polyunsaturated fat protects African green monkeys from coronary artery atherosclerosis. Arterioscler Thromb Vasc Biol 1995;15: