Literature DB >> 22275385

Consumption of fried foods and risk of coronary heart disease: Spanish cohort of the European Prospective Investigation into Cancer and Nutrition study.

Pilar Guallar-Castillón1, Fernando Rodríguez-Artalejo, Esther Lopez-Garcia, Luz M León-Muñoz, Pilar Amiano, Eva Ardanaz, Larraitz Arriola, Aurelio Barricarte, Genevieve Buckland, María-Dolores Chirlaque, Miren Dorronsoro, José-María Huerta, Nerea Larrañaga, Pilar Marin, Carmen Martínez, Esther Molina, Carmen Navarro, J Ramón Quirós, Laudina Rodríguez, María José Sanchez, Carlos A González, Conchi Moreno-Iribas.   

Abstract

OBJECTIVE: To assess the association between consumption of fried foods and risk of coronary heart disease.
DESIGN: Prospective cohort study.
SETTING: Spanish cohort of the European Prospective Investigation into Cancer and Nutrition. PARTICIPANTS: 40 757 adults aged 29-69 and free of coronary heart disease at baseline (1992-6), followed up until 2004. MAIN OUTCOME MEASURES: Coronary heart disease events and vital status identified by record linkage with hospital discharge registers, population based registers of myocardial infarction, and mortality registers.
RESULTS: During a median follow-up of 11 years, 606 coronary heart disease events and 1135 deaths from all causes occurred. Compared with being in the first (lowest) quarter of fried food consumption, the multivariate hazard ratio of coronary heart disease in the second quarter was 1.15 (95% confidence interval 0.91 to 1.45), in the third quarter was 1.07 (0.83 to 1.38), and in the fourth quarter was 1.08 (0.82 to 1.43; P for trend 0.74). The results did not vary between those who used olive oil for frying and those who used sunflower oil. Likewise, no association was observed between fried food consumption and all cause mortality: multivariate hazard ratio for the highest versus the lowest quarter of fried food consumption was 0.93 (95% confidence interval 0.77 to 1.14; P for trend 0.98).
CONCLUSION: In Spain, a Mediterranean country where olive or sunflower oil is used for frying, the consumption of fried foods was not associated with coronary heart disease or with all cause mortality.

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Year:  2012        PMID: 22275385      PMCID: PMC3265571          DOI: 10.1136/bmj.e363

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Frying is one of the most commonly used methods for cooking in Western countries. When food is fried its nutritional content changes—the food loses water and takes up fat, increasing its energy density.1 2 Frying modifies both the foods and the frying medium because oils deteriorate during frying, especially when reused, through the processes of oxidation and hydrogenation, leading to a loss of unsaturated fats and an increase in trans fats.1 Thus fried food absorbs degradation products of the frying oil.3 At the same time, frying may also improve palatability by making food crunchy.4 5 Fried foods have been associated with various cardiovascular risk factors in cross sectional studies. In Spain, the Pizarra study of 1226 adults showed that consumption of food fried with reused oils was associated with a higher prevalence of arterial hypertension.6 Furthermore, a cross sectional analysis of the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC) study concluded that consumption of fried foods was positively associated with general and central obesity.7 Similarly, in the SUN (Seguimiento University of Navarra) cohort in Spain, more frequent consumption of fried foods at baseline was associated with a higher risk of becoming overweight or obese during a six year follow-up.8 Lastly, in another cross sectional study in 2090 Italian adults, consumption of fried food was associated with lower high density lipoprotein cholesterol levels and a larger waist circumference.9 Only a few studies have evaluated the effect of fried foods on risk of cardiovascular disease. A case-control study in Costa Rica found no association between consumption of fried foods and risk of non-fatal acute myocardial infarction.10 Another case-control study, INTERHEART, observed a positive association between fried foods and acute myocardial infarction.11 Therefore, although interest in the associations of dietary patterns and specific cooking techniques with risk of disease is increasing,12 little is known about the health effects of fried foods. We evaluated prospectively the association between consumption of fried foods and the risk of coronary heart disease in the EPIC-Spain cohort.

Methods

The methods of the EPIC project have been reported elsewhere.7 13 14 15 16 For the present analysis we used the data from the Spanish cohort of EPIC, which included 41 438 healthy adults (15 632 men), aged 29-69. Study participants were recruited between 1992 and 1996 in five Spanish regions. Three of these regions are located in the north (Asturias, Gipuzkoa, and Navarra) and two in the south, including the Mediterranean shore (Granada and Murcia). Selection of these regions aimed to maximise variability in diet because food and nutrient intake has traditionally been different between the north and the south of Spain and between the inner regions and coastal areas. To increase variability in diet, participants were also recruited in urban and rural areas from various educational and social sectors. Study participants included mostly blood donors, civil servants, and the general population. Participation rates varied from 55% to 60% between regions. The exposures of interest were assessed at baseline, and participants were followed up until 31 December 2004. All participants gave written informed consent before enrolment.

Assessment of food consumption

Using a computerised dietary history questionnaire,17 previously validated in Spain18 19 20 and administered by trained interviewers, we obtained data on usual food consumption for each participant. We used household measures, standard units, and a collection of 35 sets of photographs of simple foods, mixed foods, and drinks to quantify the portion of each food (g/day) consumed. Each interview on dietary history lasted about 40-50 minutes. Participants were asked about food consumed in a typical week during the previous 12 months. Foods consumed at least twice a month were recorded. The dietary history questionnaire recorded information on up to 662 different foods, including those consumed individually and those consumed as part of 203 recipes and regional dishes. Of these foods, 212 were fried. We calculated energy and nutrient intake using the EPIC food composition table.21 Information on cooking methods was collected as part of the dietary history questionnaire. The same food may be cooked by several methods as part of a single recipe. For example, in the preparation of paella (a typical Spanish recipe), rice is both fried and boiled. Thus, fried food was defined as food for which frying was the only cooking method used. Such food could be deep fried or pan fried and it could be battered, crumbed, or sautéed. To estimate the absorption of fat from frying, we used an absorption coefficient for each fried food.18 We also recorded the type of oil used for dressing, cooking, and frying.

Assessment of non-dietary variables

Information on demographic variables, educational level, smoking, and physical activity was obtained through interview at recruitment. Physical activity was assessed with a validated questionnaire that included activity at work, at home, and during leisure time.22 Participants were also asked if they had diabetes mellitus, hypercholesterolaemia, hypertension, cancer, or angina, or had experienced myocardial infarction or stroke. In addition they were asked to report their menopausal status and any use of oral contraceptives or hormone replacement therapy. Trained observers used standardised procedures to measure weight, height, and waist circumference. The body mass index was calculated as weight (kg) divided by height squared (m2).

Ascertainment and validation of coronary heart disease

At baseline, prevalent coronary heart disease was self reported. During follow-up, we ascertained incident coronary heart disease with a telephone questionnaire (at three years after recruitment) and through record linkage with three sources of information: hospital discharge databases, population based myocardial infarction registries (available in Murcia, Navarra, and Gipuzkoa), and regional mortality registries and the national mortality database (managed by the National Statistical Institute, Madrid, Spain), which provided information on date and cause of death. Coronary heart disease was classified according to the International Classification of Diseases, ninth revision (ICD-9 codes 410-414) and 10th revision (ICD-10 codes I20-I25). A team of trained doctors and nurses validated coronary heart disease events against hospital records and autopsy reports. Coronary heart disease events were classified on the basis of symptoms, signs, biomarkers, and findings on electrocardiogram or at autopsy, according to standard criteria.23 A definite coronary heart disease event was defined as one meeting all relevant criteria for a fatal or non-fatal acute myocardial infarction, or angina requiring revascularisation (coronary artery bypass graft or percutaneous transluminal coronary angioplasty). We defined probable and possible acute coronary heart disease events as cases where electrocardiogram findings were non-specific or the biomarkers were equivocal or missing.13

Statistical analysis

Of the 41 438 participants in the cohort, we excluded the following from the analyses: 193 for having coronary heart disease at baseline; 167 for an implausibly high or low dietary consumption, defined as 3 standard deviations either way from the cohort mean (<788 kcal/day or >5710 kcal/day); and 321 for lacking data on important variables such as date of coronary heart disease event (n=12), smoking (n=22), diabetes mellitus (n=71), hypercholesterolaemia (n=197), and hypertension (n=60). Thus the analyses were carried out on 40 757 participants. We used Cox regression to obtain hazard ratios for coronary heart disease according to sex specific quarters of fried food consumption. The quarter (first) with lowest consumption was used as reference. In the Cox models, age was the underlying time variable, with entry time defined as the participant’s age at recruitment and exit time as the age at the coronary heart disease event, death, or 31 December 2004, whichever came first. To reduce violations of the proportional hazards assumption we also stratified models by age at recruitment (five year groups), sex, and centre. We built three models, with progressive adjustment for potential confounders to determine their influence on the results. Model 1 was adjusted for energy intake and model 2 was additionally adjusted for educational level, smoking, physical activity (at work, at home, and during leisure time), diabetes mellitus, hyperlipidaemia, cancer, oral contraceptive use, menopause, hormone replacement therapy, ethanol intake, and consumption of non-fried foods (vegetables, fruits, nuts, dairy products, meat, and fish). Model 3 was additionally adjusted for possible mediators of the study association reported in the literature: body mass index, waist circumference, and hypertension. We categorised continuous variables into quarters, except for age, which was analysed as a continuous variable. The P for linear trend was calculated by modeling the quarters for fried food as a continuous variable. Moreover, we also calculated hazard ratios of coronary heart disease and of all cause mortality for a 100 g increase in fried food consumption analysed as a continuous variable. New analyses were done after censoring the first two years of follow-up and after excluding those who reported a change in their diet during the previous year. To test whether the study association varied with type of oil used for frying (olive oil versus sunflower oil or other vegetable oils), we used the likelihood ratio test, which compared models with and without interaction terms (products of the quarters for fried food and type of oil). We also used the same procedure to test whether results varied by sex. Statistical significance was set at P<0.05. The analyses were carried out with SAS, version 9.1 for Windows. This manuscript follows the recommendations of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative.24

Results

An average 138 g of fried food was consumed daily, including 14 g of oil used for frying. About 7% of the total amount of food consumed was fried. Fried food consumption ranged from 0-817 g/day for men and 0-657 g/day for women. Sixty two per cent of participants used olive oil for frying and the rest used sunflower oil or other vegetable oils. Participants with a higher fried food intake were younger, of a higher level of education, more often smokers, and less often sedentary at work (table 1). Moreover, they had a lower prevalence of diabetes mellitus and hyperlipidaemia, a higher energy and ethanol intake, and a lower consumption of non-fried vegetables, fruit, dried fruit and nuts, milk products, and non-fried fish (table 2). They also had a lower frequency of diagnosed hypertension. Among women, the frequency of menopausal status decreased with the consumption of fried food (table 2).
Table 1

 Consumption of fried foods, sociodemographic variables, and lifestyles of study participants at baseline, by quarters of fried food consumption. Values are means unless stated otherwise

CharacteristicsQuarters of fried food consumption
1 (lowest)234 (highest)
Consumption of fried foods
Total amount of fried food consumed (g/day)47.0105.7158.4249.6
Fried fish (g/day)12.628.840.653.6
Fried meat (g/day)8.321.736.259.9
Fried potatoes (g/day)9.321.633.357.7
Fried eggs (g/day)4.010.717.128.0
Sociodemographic variables
Age (years)50.449.548.948.3
Educational level (%):
 No formal education41.936.431.727.6
 Primary education31.635.940.846.6
 Secondary education12.614.216.016.0
 University education13.312.810.89.0
Lifestyle
Smoking (%):
 Never smoker58.359.359.559.7
 Current smoker22.522.523.724.2
 Former smoker19.218.216.816.1
Physical activity at work (%):
 Sedentary22.822.120.418.8
 Standing62.164.263.763.4
 Manual labour6.28.510.312.3
 Heavy manual labour2.21.92.12.5
 Does not work3.83.33.63.1
Physical activity at home (METs h/week)68.669.870.068.1
Physical activity in leisure time (METs h/week)28.728.228.628.4

MET=metabolic equivalents. Range of quarters of fried food consumption in g/day for men: first quarter (0-112), second quarter (113-176), third quarter (177-246), and fourth quarter (247-817), and for women: first quarter (0-59), second quarter (60-103), third quarter (104-154), and fourth quarter (155-657).

Table 2

 Morbidity, menopausal status, use of hormone treatment, consumption of non-fried food, and potential mediators of study association among study participants at baseline, by quarters of fried food consumption. Values are means unless stated otherwise

CharacteristicsQuarters of fried food consumption
1 (lowest)234 (highest)
Diseases diagnosed:
 Diabetes mellitus (%)7.55.13.93.2
 Hyperlipidaemia (%)24.820.518.516.7
 Cancer (%)1.00.90.80.8
Menopause (%)*42.236.933.029.3
Hormone treatment (%)*:
 Oral contraceptives24.726.426.627.4
 Hormone substitution therapy6.46.25.55.6
Other nutrients and foods consumed:
 Total energy (kcal/day)1920.12133.02294.82566.6
 Ethanol (g/day)11.514.517.020.4
 Non-fried vegetables (g/day)255.0241.1232.3237.4
 Fruit (g/day)336.6322.0315.3311.2
 Dried fruit and nuts (g/day)5.04.64.23.9
 Milk products (g/day)304.7298.1296.9292.0
 Non-fried meat (g/day)93.998.097.996.2
 Non-fried fish (g/day)37.229.626.023.8
Mediators of study association:
 Body mass index (kg/m2)28.528.328.128.1
 Waist circumference (cm)92.892.091.491.4
 Hypertension (%)23.720.918.417.4

See table 1 for range (g/day) of quarters of fried food consumption for men and for women.

*Calculated for women.

Consumption of fried foods, sociodemographic variables, and lifestyles of study participants at baseline, by quarters of fried food consumption. Values are means unless stated otherwise MET=metabolic equivalents. Range of quarters of fried food consumption in g/day for men: first quarter (0-112), second quarter (113-176), third quarter (177-246), and fourth quarter (247-817), and for women: first quarter (0-59), second quarter (60-103), third quarter (104-154), and fourth quarter (155-657). Morbidity, menopausal status, use of hormone treatment, consumption of non-fried food, and potential mediators of study association among study participants at baseline, by quarters of fried food consumption. Values are means unless stated otherwise See table 1 for range (g/day) of quarters of fried food consumption for men and for women. *Calculated for women. During a median follow-up of 11 years, 606 definite coronary heart disease events occurred (466 myocardial infarctions and 140 anginas requiring revascularisation). There were also 712 definite, possible, or probable coronary heart disease events and 1135 deaths from all causes. For definite coronary heart disease events, no association with fried food consumption was observed in analyses adjusting for energy intake, age, sex, and centre (table 3, model 1). The hazard ratio of coronary heart disease for the highest versus the lowest quarter of fried food consumption was 0.94 (95% confidence interval 0.72 to 1.23; P for trend 0.52). Similar results were obtained after additional adjustment for the main confounders (table 3, model 2): 1.11 (0.84 to 1.46; P for trend 0.60). Finally, no association was observed between fried food and incident coronary heart disease after adjusting for possible mediators such as body mass index, waist circumference, and hypertension (table 3, model 3). Compared with the first (lowest) quarter of fried food consumption, the multivariate hazard ratios of coronary heart disease were 1.15 (0.91 to 1.45) in the second quarter, 1.07 (0.83 to 1.38) in the third quarter, and 1.08 (0.82 to 1.43) in the fourth quarter (P for trend 0.74). Lastly, after full adjustment, a 100 g increase in the consumption of fried food did not show an association with risk of coronary heart disease (hazard ratio 1.00, 0.90 to 1.11). The results were similar after censoring the first two years of follow-up and after excluding those who reported a change in their diet during the previous year. The results did not vary between those who used olive oil for frying and those who used sunflower oil or other vegetable oils (P for interaction 0.22), or between the sexes (P for interaction 0.19).
Table 3

 Association between fried food consumption and incidence of definite coronary heart disease and all cause mortality during 11 years of follow-up in Spanish cohort of European Prospective Investigation into Cancer and Nutrition

VariablesQuarters of fried food consumption P for trendFor 100 g increase of fried food
1 (lowest)234 (highest)
Coronary heart disease:
 Total No10 18810 19010 19010 189
 Person years109 578110 394110 943111 762
 No of events154163150139
 Model 1*: hazard ratios (95% CI)11.05 (0.84 to 1.33)0.97 (0.76 to 1.24)0.94 (0.72 to 1.23)0.520.95 (0.86 to 1.06)
 Model 2†: hazard ratios (95% CI)11.15 (0.91 to 1.46)1.08 (0.84 to 1.39)1.11 (0.84 to 1.46)0.601.01 (0.91 to 1.12)
 Model 3‡: hazard ratios (95% CI)11.15 (0.91 to 1.45)1.07 (0.83 to 1.38)1.08 (0.82 to 1.43)0.741.00 (0.90 to 1.11)
All cause mortality:
 Total No10 18810 19010 19010 189
 Person years110 135111 019111 560112 342
 No of deaths328276273258
 Model 1*: hazard ratios (95% CI)10.90 (0.76 to 1.07)0.91 (0.77 to 1.09)0.89 (0.73 to 1.08)0.260.98 (0.91 to 1.06)
 Model 2†: hazard ratios (95% CI)10.94 (0.79 to 1.11)0.95 (0.80 to 1.14)0.94 (0.77 to 1.15)0.601.00 (0.92 to 1.08)
 Model 3‡: hazard ratios (95% CI)10.94 (0.79 to 1.11)0.95 (0.79 to 1.13)0.93 (0.77 to 1.14)0.981.00 (0.92 to 1.08)

Quarters are sex specific. See table 1 for range (g/day) of quarters of fried food consumption for men and for women.

*Adjusted for age, sex, centre (Asturias, Gipuzkoa, Granada, Murcia, or Navarra), and energy intake (quarters).

†Adjusted for variables in model 1 and for ethanol consumption (quarters among consumers), educational level (no formal education, primary, vocational, secondary, university education), smoking (never, current, former), physical activity at work (sedentary, standing, manual labour, heavy manual labour, no work), physical activity at home (metabolic equivalents h/week in quarters), physical activity in leisure time (metabolic equivalents h/week in quarters), diabetes mellitus, hyperlipidaemia, cancer, oral contraceptives, menopause, hormone replacement therapy, and consumption of fruit (quarters), nuts (quarters), and dairy products (quarters), and non-fried foods (quarters): vegetables, meat, and fish.

‡Adjusted for variables in model 2 and for body mass index (<25 and ≥25, <30 and ≥30, <35 and ≥35), waist circumference (quarters), and hypertension.

Association between fried food consumption and incidence of definite coronary heart disease and all cause mortality during 11 years of follow-up in Spanish cohort of European Prospective Investigation into Cancer and Nutrition Quarters are sex specific. See table 1 for range (g/day) of quarters of fried food consumption for men and for women. *Adjusted for age, sex, centre (Asturias, Gipuzkoa, Granada, Murcia, or Navarra), and energy intake (quarters). †Adjusted for variables in model 1 and for ethanol consumption (quarters among consumers), educational level (no formal education, primary, vocational, secondary, university education), smoking (never, current, former), physical activity at work (sedentary, standing, manual labour, heavy manual labour, no work), physical activity at home (metabolic equivalents h/week in quarters), physical activity in leisure time (metabolic equivalents h/week in quarters), diabetes mellitus, hyperlipidaemia, cancer, oral contraceptives, menopause, hormone replacement therapy, and consumption of fruit (quarters), nuts (quarters), and dairy products (quarters), and non-fried foods (quarters): vegetables, meat, and fish. ‡Adjusted for variables in model 2 and for body mass index (<25 and ≥25, <30 and ≥30, <35 and ≥35), waist circumference (quarters), and hypertension. Similar results were also obtained in the combined analysis of definite, possible, and probable coronary heart disease events. Compared with the first (lowest) quarter of fried food consumption, the multivariate hazard ratio of coronary heart disease in the fully adjusted model (model 3) was 1.08 (0.88 to 1.34) for the second quarter, 1.06 (0.84 to 1.33) for the third quarter, and 1.04 (0.81 to 1.34) for the fourth quarter (P for trend 0.83). Fried food consumption also failed to be associated with all cause mortality. Compared with the lowest quarter of fried food consumption, those in the highest quarter had a hazard ratio of 0.93 (0.77 to 1.14; P for trend 0.98). Moreover, no association was observed between a 100 g increase in intake of fried food and total mortality (1.00, 0.92 to 1.08; table 3, model 3). Of the total amount of fried food consumed, 24% (34 g/day) was fish, 22% (31 g/day) meat, 21% (30 g/day) potatoes, and 11% (15 g/day) eggs. No association was observed between each of these fried food groups and incident coronary heart disease (table 4). Comparing the highest and lowest quarters, the multivariate hazard ratio for the fully adjusted model was 1.13 (0.89 to 1.44; P for trend 0.26) for fried fish, 1.09 (0.82 to 1.43; P for trend 0.32) for fried meat, 0.90 (0.70 to 1.15; P for trend 0.45) for fried potatoes, and 0.87 (0.68 to 1.13; P for trend 0.30) for fried eggs. These fried foods also failed to show an association with all cause mortality (table 4).
Table 4

 Association between consumption of main types of fried food and incidence of definite coronary heart disease and all cause mortality during 11 years of follow-up in Spanish cohort of European Prospective Investigation into Cancer and Nutrition

VariablesQuarters of fried food consumption P for trendFor 100 g increase of fried food
1 (lowest)234 (highest)
Coronary heart disease
Fried fish:
 No of events144136149177
 Hazard ratio (95% CI)*10.99 (0.78 to 1.26)1.06 (0.83 to 1.35)1.13 (0.89 to 1.44)0.261.03 (0.82 to 1.29)
Fried meat:
 No of events137158174137
 Hazard ratio (95% CI)*11.17 (0.93 to 1.49)1.40 (1.09 to 1.79)1.09 (0.82 to 1.43)0.321.05 (0.82 to 1.35)
Fried potatoes:
 No of events188151138129
 Hazard ratio (95% CI)*10.92 (0.74 to 1.15)0.95 (0.75 to 1.19)0.90 (0.70 to 1.15)0.450.91 (0.71 to 1.17)
Fried eggs:
 No of events184151145126
 Hazard ratio (95% CI)*10.99 (0.80 to 1.24)0.95 (0.76 to 1.20)0.87 (0.68 to 1.13)0.300.84 (0.51 to 1.40)
All cause mortality
Fried fish:
 No of events297276271291
 Hazard ratio (95% CI)*10.99 (0.84 to 1.17)0.97 (0.81 to 1.15)0.92 (0.77 to 1.10)0.340.84 (0.69 to 1.01)
Fried meat:
 No of events346246264279
 Hazard ratio (95% CI)*10.80 (0.67 to 0.95)0.90 (0.75 to 1.08)0.94 (0.78 to 1.14)0.720.96 (0.79 to 1.16)
Fried potatoes:
 No of events353273249260
 Hazard ratio (95% CI)*10.90 (0.77 to 1.06)0.92 (0.78 to 1.09)0.99 (0.83 to 1.18)0.871.10 (0.91 to 1.32)
Fried eggs:
 No of events350265245275
 Hazard ratio (95% CI)*10.96 (0.81 to 1.13)0.90 (0.75 to 1.06)1.05 (0.87 to 1.25)0.901.11 (0.76 to1.64)

*Adjusted the same as model 3 in table 3.

Range of quarters of fried food consumption in g/day: fish consumption for men: first quarter (0-15), second quarter (16-35), third quarter (36-61), and fourth quarter (62-439), and for women: first quarter (0-8), second quarter (9-23), third quarter (24-40), and fourth quarter (41-346); meat consumption for men: first quarter (0-12), second quarter (13-34), third quarter (35-65), and fourth quarter (66-384), and for women: first quarter (0-2), second quarter (3-15), third quarter (16-36), and fourth quarter (37-347); potato consumption for men: first quarter (0-12), second quarter (13-33), third quarter (34-59), fourth quarter (60-560), and for women: first quarter (0-3), second quarter (4-17), third quarter (18-34), and fourth quarter (35-282); egg consumption for men: first quarter (0-6), second quarter (7-15), third quarter (16-30), fourth quarter (31-176), and for women: first quarter (0-0), second quarter (1-8), third quarter (9-17), and fourth quarter (18-123).

Association between consumption of main types of fried food and incidence of definite coronary heart disease and all cause mortality during 11 years of follow-up in Spanish cohort of European Prospective Investigation into Cancer and Nutrition *Adjusted the same as model 3 in table 3. Range of quarters of fried food consumption in g/day: fish consumption for men: first quarter (0-15), second quarter (16-35), third quarter (36-61), and fourth quarter (62-439), and for women: first quarter (0-8), second quarter (9-23), third quarter (24-40), and fourth quarter (41-346); meat consumption for men: first quarter (0-12), second quarter (13-34), third quarter (35-65), and fourth quarter (66-384), and for women: first quarter (0-2), second quarter (3-15), third quarter (16-36), and fourth quarter (37-347); potato consumption for men: first quarter (0-12), second quarter (13-33), third quarter (34-59), fourth quarter (60-560), and for women: first quarter (0-3), second quarter (4-17), third quarter (18-34), and fourth quarter (35-282); egg consumption for men: first quarter (0-6), second quarter (7-15), third quarter (16-30), fourth quarter (31-176), and for women: first quarter (0-0), second quarter (1-8), third quarter (9-17), and fourth quarter (18-123).

Discussion

This analysis of the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition found no association between consumption of fried food and risk of coronary heart disease or all cause mortality.

Comparison with other studies

Few studies have evaluated this association. Our results are consistent with those of a case-control study of non-fatal myocardial infarction in Costa Rica, which obtained an odds ratio of 1.06 (0.59 to 1.91; P for trend 0.65) for the highest versus lowest fifth of fried food consumption.10 However, in the Costa Rican investigation, palm and partially hydrogenated soy oil were used for frying, whereas in this study mainly olive and sunflower oils—the most commonly used oils in Mediterranean countries—were used. Our results differ from those of the INTERHEART study, where fried food consumption was associated with a higher risk of acute myocardial infarction.11 However, some methodological differences limit the comparison of results. For instance, INTERHEART did not assess quantitatively the intake of fried food; moreover, it recorded the consumption of only nine fried foods and it did not report the type of oil used for frying. In a cross sectional analysis of the Multi Ethnic Study of Atherosclerosis (MESA), no association was found between consumption of fried fish and subclinical atherosclerosis, assessed by the thickness of intima-media in the common carotid. Nor was fried fish consumption associated with significant changes in serum levels of total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, or tryglicerides.25 The Cardiovascular Health Study, a cohort of 3919 older people (≥65 years) followed for nine years, also did not find an association of consumption of fried fish or fish sandwiches with mortality from coronary heart disease or cardiac arrhythmia, or with incidence of non-fatal acute myocardial infarction.26

Possible mechanisms of the study association

The frying process is complex and as yet is not well understood. Laboratory investigations show that fried foods may act through many mechanisms, such that the resulting effect on coronary heart disease is difficult to anticipate. Frying changes the quality and composition of food. For example, frying usually augments the fat content, and for some foods, such as potatoes, the dietary fibre is increased owing to the formation of resistant starch.1 Frying can specifically increase the amount of trans fatty acids in foods.27 The amount depends on the frying technique (deep or pan frying), the degree of thermal degradation of the oil, the type of food, and, above all, the type of oil (the degree of oil unsaturation increases the formation of trans fatty acids).28 However, some foods such as certain types of fish show minimal variations in the content of trans fatty acids after frying, regardless of whether olive oil or sunflower oil is used.29 On the other hand, the use of solid fats for frying can also increase the content of trans fatty acids. The association between consumption of fried foods and endothelial damage is controversial. In a cross sectional analysis of the Multi Ethnic Study of Atherosclerosis (MESA), consumption of fried fish was inversely associated with the level of soluble intercellular adhesion molecule-1, a marker of endothelial activation. The authors did not expect this finding, since it was not observed for consumption of non-fried fish.30 In contrast, meals rich in oils previously used for deep frying in fast food restaurants have been associated with endothelial damage.31 In another study, however, foods rich in oils previously used for frying and high in oxidation products increased postprandial triglyceridaemia but did not affect endothelial function.32 Other mechanisms may be operating during the frying process. For example, in an in vitro study fried eggs increased the production of angiotensin converting enzyme inhibitory peptides more than boiled eggs did.33 On the other hand, frying also increases the levels of cholesterol oxidation products34 and reduces paraoxonase activity, an enzyme that inhibits oxidation of low density lipoprotein cholesterol.35 This analysis of the EPIC-Spain cohort suggests that the above mentioned mechanisms may offset each other in the general population, with the result that frying with mainly olive oil or sunflower oil is not associated with a higher risk of coronary heart disease. Frying with other types of fats may still be harmful.

Limitations and strengths of the study

This study has some limitations. Firstly, diet was measured only at baseline. Secondly, some residual confounding cannot be ruled out, since diabetes mellitus, hypertension, and hypercholesterolaemia were self reported. In Spain, however, evidence exists of the diagnostic validity of self reported diabetes mellitus and hypertension.36 37 Thirdly, some degree of under-reporting of fried food consumption is possible, given that people perceive it as unhealthy; and non-differential under-reporting would bias the hazard ratio towards 1, hiding a possible association. Fourthly, we do not know the type of frying procedure (deep or pan) carried out, the extent that oils were reused, and the time and temperature used for frying. It is possible that these factors are differentially associated with coronary heart disease. Fifthly, we cannot separate the effect of a specific food from the effect of the cooking method used. For instance, we cannot separate the effect of frying with oil (for example, olive oil) from the cardioprotective effect of omega 3 fatty acids in fish. Sixthly, results are based on what people ate between 1992 and 1996. Unfortunately, since then no studies have been published on the consumption of fried food by the Spanish population. Data from household consumption surveys, however, indicate that the macronutrient intake has not changed materially from 1991 to 200638; also, overall adherence to the Mediterranean pattern seems fairly stable in the period 1998 to 2005,39 although an increase in the consumption of non-alcoholic beverages and dairy products and a decrease in consumption of potatoes and legumes has been observed over the past two decades.38 Finally, although average consumption of fried food in the highest quarter was fairly high, our results cannot rule out that a fried food intake higher than that observed in this study is associated with coronary heart disease. This analysis also has important strengths, such as the use of a validated dietary history with quantitative information on the consumption of a large number of fried foods, the large sample size, long follow-up, and adjustment for numerous potential confounders.

Conclusions

In a Mediterranean country where olive and sunflower oils are the most commonly used fats for frying, and where large amounts of fried foods are consumed both at and away from home, no association was observed between fried food consumption and the risk of coronary heart disease or death. Our results are directly applicable only to Mediterranean countries with frying methods similar to those in Spain. Firstly, oil (mainly olive and sunflower) rather than solid fat is used for frying in Spain. It is well established that olive oil is less prone to oxidation than other edible oils or fats.40 41 Secondly, consumption of fried foods in Spain is not a proxy for fast food intake. Fast foods are generally prepared by deep frying with oils used several times, and are consumed mostly away from home. In Spain, fried foods are consumed both at and away from home, and both deep frying and pan frying are used. Moreover, we can assume that oil is not reused many times for foods consumed at home; however, the cardiovascular effects of food fried with overly reused oils merit further research. Finally, consumption of fried snacks high in salt is fairly low in Spain, whereas in other countries such as the United States they provide an important percentage of energy intake.42 The consumption of fried food has been associated with some cardiovascular risk factors, such as hypertension, obesity, and low levels of high density lipoprotein cholesterol The association between fried food consumption and coronary heart disease has been evaluated in some case-control studies, with heterogeneous results In Spain, a Mediterranean country that uses olive or sunflower oil for frying, the consumption of fried foods was not associated with risk of coronary heart disease or all cause mortality Frying with other types of fats, reusing oils several times, or consuming fried snacks high in salt may still be harmful
  36 in total

1.  Normal endothelial function after meals rich in olive or safflower oil previously used for deep frying.

Authors:  M J Williams; W H Sutherland; M P McCormick; D Yeoman; S A de Jong; R J Walker
Journal:  Nutr Metab Cardiovasc Dis       Date:  2001-06       Impact factor: 4.222

2.  Trends in energy intake in U.S. between 1977 and 1996: similar shifts seen across age groups.

Authors:  Samara Joy Nielsen; Anna Maria Siega-Riz; Barry M Popkin
Journal:  Obes Res       Date:  2002-05

Review 3.  The role of reducing intakes of saturated fat in the prevention of cardiovascular disease: where does the evidence stand in 2010?

Authors:  Arne Astrup; Jørn Dyerberg; Peter Elwood; Kjeld Hermansen; Frank B Hu; Marianne Uhre Jakobsen; Frans J Kok; Ronald M Krauss; Jean Michel Lecerf; Philippe LeGrand; Paul Nestel; Ulf Risérus; Tom Sanders; Andrew Sinclair; Steen Stender; Tine Tholstrup; Walter C Willett
Journal:  Am J Clin Nutr       Date:  2011-01-26       Impact factor: 7.045

4.  Evaluation of food consumption and dietary patterns in Spain by the Food Consumption Survey: updated information.

Authors:  G Varela-Moreiras; J M Avila; C Cuadrado; S del Pozo; E Ruiz; O Moreiras
Journal:  Eur J Clin Nutr       Date:  2010-11       Impact factor: 4.016

5.  Olive oil stability under deep-frying conditions.

Authors:  Susana Casal; Ricardo Malheiro; Artur Sendas; Beatriz P P Oliveira; José Alberto Pereira
Journal:  Food Chem Toxicol       Date:  2010-08-03       Impact factor: 6.023

6.  The Mediterranean diet in Spain: adherence trends during the past two decades using the Mediterranean Adequacy Index.

Authors:  Anna Bach-Faig; Carmen Fuentes-Bol; Domingo Ramos; Josep Lluís Carrasco; Blanca Roman; Isabel F Bertomeu; Esther Cristià; Daniela Geleva; Lluís Serra-Majem
Journal:  Public Health Nutr       Date:  2010-10-29       Impact factor: 4.022

7.  Validation of self diagnosis of high blood pressure in a sample of the Spanish EPIC cohort: overall agreement and predictive values. EPIC Group of Spain.

Authors:  M J Tormo; C Navarro; M D Chirlaque; X Barber
Journal:  J Epidemiol Community Health       Date:  2000-03       Impact factor: 3.710

8.  Fatty acid modifications and cholesterol oxidation in pork loin during frying at different temperatures.

Authors:  M Echarte; D Ansorena; I Astiasaran
Journal:  J Food Prot       Date:  2001-07       Impact factor: 2.077

9.  Effect of fish and oil nature on frying process and nutritional product quality.

Authors:  Diana Ansorena; Ainhoa Guembe; Tatiana Mendizábal; Iciar Astiasarán
Journal:  J Food Sci       Date:  2010-03       Impact factor: 3.167

10.  Associations of dietary long-chain n-3 polyunsaturated fatty acids and fish with biomarkers of inflammation and endothelial activation (from the Multi-Ethnic Study of Atherosclerosis [MESA]).

Authors:  Ka He; Kiang Liu; Martha L Daviglus; Nancy Swords Jenny; Elizabeth Mayer-Davis; Rui Jiang; Lyn Steffen; David Siscovick; Michael Tsai; David Herrington
Journal:  Am J Cardiol       Date:  2009-03-04       Impact factor: 2.778

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  30 in total

1.  Risk factors: Fried foods not linked to CHD in Spain.

Authors:  Alexandra King
Journal:  Nat Rev Cardiol       Date:  2012-02-21       Impact factor: 32.419

2.  The Mediterranean-style dietary pattern and mortality among men and women with cardiovascular disease.

Authors:  Esther Lopez-Garcia; Fernando Rodriguez-Artalejo; Tricia Y Li; Teresa T Fung; Shanshan Li; Walter C Willett; Eric B Rimm; Frank B Hu
Journal:  Am J Clin Nutr       Date:  2013-10-30       Impact factor: 7.045

3.  Meat intake, cooking methods and doneness and risk of colorectal tumours in the Spanish multicase-control study (MCC-Spain).

Authors:  Jordi de Batlle; Esther Gracia-Lavedan; Dora Romaguera; Michelle Mendez; Gemma Castaño-Vinyals; Vicente Martín; Núria Aragonés; Inés Gómez-Acebo; Rocío Olmedo-Requena; José Juan Jimenez-Moleon; Marcela Guevara; Mikel Azpiri; Cristóbal Llorens-Ivorra; Guillermo Fernandez-Tardon; Jose Andrés Lorca; José María Huerta; Victor Moreno; Elena Boldo; Beatriz Pérez-Gómez; Jesús Castilla; Tania Fernández-Villa; Juan Pablo Barrio; Montserrat Andreu; Antoni Castells; Trinidad Dierssen; Jone M Altzibar; Manolis Kogevinas; Marina Pollán; Pilar Amiano
Journal:  Eur J Nutr       Date:  2016-11-24       Impact factor: 5.614

4.  Fried food consumption and risk of coronary artery disease: The Million Veteran Program.

Authors:  Jacqueline P Honerlaw; Yuk-Lam Ho; Xuan-Mai T Nguyen; Kelly Cho; Jason L Vassy; David R Gagnon; Christopher J O'Donnell; J Michael Gaziano; Peter W F Wilson; Luc Djousse
Journal:  Clin Nutr       Date:  2019-06-05       Impact factor: 7.324

5.  Maternal intake of fried foods and risk of gestational diabetes mellitus.

Authors:  Citlalli Osorio-Yáñez; Bizu Gelaye; Chunfang Qiu; Wei Bao; Andres Cardenas; Daniel A Enquobahrie; Michelle A Williams
Journal:  Ann Epidemiol       Date:  2017-05-12       Impact factor: 3.797

6.  Consumption of fried foods and risk of atrial fibrillation in the Physicians' Health Study.

Authors:  Owais Khawaja; Howard D Sesso; Jiaying Chen; Hiroshi Yamasaki; Sohail A Hassan; John M Gaziano; Luc Djoussé
Journal:  Eur J Nutr       Date:  2019-03-27       Impact factor: 5.614

7.  Socio-demographic, behavioral, and health correlates of nutrition transition dietary indicators in San Juan, Puerto Rico.

Authors:  Uriyoán Colón-Ramos; Cynthia M Pérez-Cardona; Rafael Monge-Rojas
Journal:  Rev Panam Salud Publica       Date:  2013-11

8.  Southern Dietary Pattern is Associated With Hazard of Acute Coronary Heart Disease in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Authors:  James M Shikany; Monika M Safford; P K Newby; Raegan W Durant; Todd M Brown; Suzanne E Judd
Journal:  Circulation       Date:  2015-08-10       Impact factor: 29.690

9.  Fried-food consumption and risk of type 2 diabetes and coronary artery disease: a prospective study in 2 cohorts of US women and men.

Authors:  Leah E Cahill; An Pan; Stephanie E Chiuve; Qi Sun; Walter C Willett; Frank B Hu; Eric B Rimm
Journal:  Am J Clin Nutr       Date:  2014-06-18       Impact factor: 7.045

10.  Pre-pregnancy fried food consumption and the risk of gestational diabetes mellitus: a prospective cohort study.

Authors:  Wei Bao; Deirdre K Tobias; Sjurdur F Olsen; Cuilin Zhang
Journal:  Diabetologia       Date:  2014-10-11       Impact factor: 10.122

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