AJCN 19th International Congress of Nutrition
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American Journal of Clinical Nutrition, Vol. 86, No. 1, 198-205, July 2007
© 2007 American Society for Nutrition

ORIGINAL RESEARCH COMMUNICATION

Intake of fried foods is associated with obesity in the cohort of Spanish adults from the European Prospective Investigation into Cancer and Nutrition1,2,3

Pilar Guallar-Castillón, Fernando Rodríguez-Artalejo, Nélida Schmid Fornés, José R Banegas, Pilar Amiano Etxezarreta, Eva Ardanaz, Aurelio Barricarte, María-Dolores Chirlaque, Miren Dorronsoro Iraeta, Nerea Larrañaga Larrañaga, Adamina Losada, Michelle Mendez, Carmen Martínez, José R Quirós, Carmen Navarro, Paula Jakszyn, María J Sánchez, María J Tormo and Carlos A González

1 From the Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain (PG-C, FR-A, NSF, and JRB); the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, (PG-C); the School of Nutrition, Federal University of Goias, Goiânia, Brazil (NSF); the Public Health Division of Gipuzkoa, Health Department of the Basque Country, Donostia-San Sebastián, Spain (PAE, MDI, and NLL); the Public Health Institute of Navarra, Pamplona, Spain (EA and AB); the Department of Epidemiology, Murcia Health Council, Murcia, Spain (M-DC, CN, and MJT); the Dirección General de Salud Pública y Planificación, Consejería de Salud y Servicios Sanitarios de Asturias, Oviedo, Spain (AL and JRQ); the Group of Nutrition, Environment and Cancer, Department of Epidemiology and Cancer Registry, Catalan Institute of Oncology, Barcelona, Spain (MM, PJ, and CAG); and the Escuela Andaluza de Salud Pública, Granada, Spain (CM and MJS)

2 Supported by Agreement NTR/2000/01 from the International Agency for Research on Cancer, Agreement SPC.2002332 from the European Union, and by participating regional governments, including File 96 0032 from the Health Research Fund of the Spanish Ministry of Health (to the European Prospective Investigation of Cancer and Nutrition); by grants no. RCESP 03/09 and RETICC 03/10 (to the centers in Barcelona, Granada, and Murcia) and grant no. PI040257 from the Carlos III Health Institute; and by grant no. CAPES BEX 1696/05 from the Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior (to NSF). CAG is a partner of a network of excellence on Environmental Cancer, Nutrition, and Individual Susceptibility, funded (contract no. 513943) by the 6th Framework Programme of the European Union.

3 Reprints not available. Address correspondence to P Guallar-Castillón, Departamento de Medicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid, Avda. Arzobispo Morcillo, sn, 28029 Madrid, Spain. E-mail: mpilar.guallar{at}uam.es


   ABSTRACT
TOP
 ABSTRACT
INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Background: Consumption of fried food has been suggested to promote obesity, but this association has seldom been studied.

Objective: We aimed to assess the association of energy intake from fried food with general and central obesity in Spain, a Mediterranean country where frying with oil is a traditional cooking procedure.

Design: This was a cross-sectional study of 33 542 Spanish persons aged 29-69 y who were participating in the European Prospective Investigation into Cancer and Nutrition between 1992 and 1996. Dietary intake was assessed by a diet history questionnaire. Height, weight, and waist circumference were measured by trained interviewers. Analyses were performed with logistic regression and were adjusted for total energy intake and other confounders.

Results: The prevalence of general obesity [body mass index (in kg/m2) ≥ 30] was 27.6% in men and 27.7% in women. Respective figures for central obesity (waist circumference ≥ 102 cm in men and ≥ 88 cm in women) were 34.5% and 42.6%. The average proportion of energy intake from fried food was 15.6% in men and 12.6% in women. The adjusted odds ratios for general obesity in the highest versus the lowest quintile of fried food intake were 1.26 (95% CI: 1.09, 1.45; P for trend < 0.001) in men and 1.25 (1.11, 1.41; P for trend < 0.001) in women. The corresponding values for central obesity were 1.17 (1.02, 1.34; P for trend < 0.003) in men and 1.27 (1.13, 1.42; P for trend < 0.001) in women.

Conclusion: Fried food was positively associated with general and central obesity only among subjects in the highest quintile of energy intake from fried food.

Key Words: Fried food • general obesity • central obesity • olive oil • Spain


   INTRODUCTION
TOP
 ABSTRACT
 INTRODUCTION
SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In Spain and in other Mediterranean countries, frying with oil is a traditional cooking procedure. Frying with oil modifies the fatty acid composition of food, increases the energy density, and reduces the water content (1). Frying may also improve food palatability by making food crunchy and aromatic (1, 2). However, the consumption of fried food may promote obesity through greater fat intake (3) and energy density (4).

Few studies have assessed the relation between fried food and obesity. In US children and adolescents, eating fried food away from home was associated with a higher body mass index (BMI; in kg/m2) and with greater weight gain (5). In the United States, fried food eaten away from home is usually prepared by deep-frying, and it is considered a proxy indicator for fast food intake (6). In Mediterranean countries, however, fried food is consumed at home as frequently as away from home, and both pan-frying and deep-frying are commonly used (7). Other studies assessing the association of fried food with obesity have been limited by having no account of total energy intake (EI) (8), by including fried food along with other types of food (9), or by considering only a limited number of items, such as potato chips (8, 10, 11) or fried snacks (8, 12-18).

The objective of this analysis was to assess the association of EI from fried food with general and central obesity in Spain. We aimed to accomplish this objective by using data from a large study with a detailed assessment of food intake and food preparation techniques.


   SUBJECTS AND METHODS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
RESULTS
 DISCUSSION
 REFERENCES
 
Study design
We used baseline data from the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC). The design and methods of the EPIC study have been described elsewhere (19, 20). Briefly, EPIC is a cohort study of 520 000 European men and women that assesses the role of diet, lifestyle, and genetic and environmental factors with respect to the risk of cancer and other chronic conditions. EPIC-Spain is composed of 41 440 participants aged 29-69 y who were recruited from 1992 through 1996 in 5 regions in Spain: Asturias, Gipuzkoa, and Navarra in the north and Granada and Murcia in the south.

Of 41 440 participants, we excluded 816 with poor quality of dietary reports (defined as a ratio of estimated to required EI below the 1st percentile or above the 99th percentile; 21); 3546 who declared that they had modified their diet in the previous year; 2553 with a self-reported diagnosis of angina, myocardial infarction, stroke, cancer, or diabetes; and 33 with a BMI < 18.5 and 374 with a BMI > 40. Subjects with a BMI > 40 were excluded because of a possible predominant role of genetic factors in morbid obesity (22). We also excluded 143 participants with missing values for weight, height, or waist circumference (WC); 236 with missing data on educational attainment; 17 with no data on smoking; and 180 women who lacked information on parity. As a result, the final database for analyses included 33 542 subjects (12 905 men and 20 637 women). For analyses of the type of oil used for frying, we further excluded 3322 participants (1946 men and 1376 women) who used mixed oils for frying and 172 (78 men and 94 women) with missing data for this variable. These analyses were thus conducted with 30 048 subjects (10 881 men and 19 167 women).

All participants gave written informed consent before enrollment. The study protocol was approved by the ethics committees of the International Agency for Research on Cancer (Lyon, France) and of the Bellvitge Hospital (Barcelona, Spain).

Diet history
Usual food consumption in the previous year was assessed with the use of a computerized diet history questionnaire (23, 24), previously validated in Spain (25) and administered by trained interviewers. The average length of the diet history interview was 41 min. Each subject was asked about his or her food consumption in a typical week of the previous 12 mo. All the food items eaten at least twice a month were recorded, with the exception of liver, which was recorded if eaten at least once a month. The preparation, frequency of consumption per week, and usual portion size of each food item were recorded. Seasonal differences in the patterns of consumption and variations between workdays and weekends were also taken into account. A total of 662 different foods were recorded for all study participants, including foods items consumed individually or as part of 203 recipes and regional dishes. For each food, participants selected the portion size from a book of photographs prepared specifically for the study. Dishes and recipes containing combinations of food were recorded and later broken down into their simple-food components by following the proportions and combinations reported by the subject or by standard compositions following previously defined criteria (25).

Information on cooking methods was collected as part of the diet history. For 28% of the foods recorded in the study, the participant stated the method of preparation. For the 71% of the recorded foods for which the cooking method was not specified during the interview, a dietitian assigned the cooking method according to standard recipes or regional dishes. The cooking method was unknown for 1.0% of the foods recorded. 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, we defined fried food as food for which frying was the only cooking method used. Fried food could be deep-fried or pan-fried, and it could be battered, crumbed, or sautéed. An absorption coefficient was used to estimate the absorption of fat during frying for each fried food (26). We also collected information on the type of oil used for dressing, cooking, and frying. To estimate EIs, we used a food-composition table specifically developed for EPIC that included information on all regional dishes consumed (27).

Other variables
Standing height, weight, and WC were measured by trained observers according to standardized procedures (28). Anthropometric measures were made when participants were wearing light clothes and no shoes and after they had emptied the bladder. Height and weight were measured with electronic scales that were calibrated on a regular schedule. WC was measured at the point of smallest circumference between the iliac crest and the lowest rib, after a normal expiration. In obese subjects without a natural waist, WC was measured at the midpoint between the iliac crest and the lowest rib. General obesity was defined as a BMI ≥ 30. Central obesity was defined as WC ≥ 102 cm in men and ≥ 88 cm in women (28).

Information on sociodemographic and lifestyle characteristics and reproductive history was obtained through interview. Physical activity was assessed by using a previously validated questionnaire (29) that included activity at work, during leisure time, and during household chores. For activity at work, each participant was asked to classify his or her occupation as sedentary, standing, manual work, heavy manual work, or nonworker. The following activities during leisure time were ascertained in the previous year: walking, riding a bicycle, gardening, do-it-yourself work, and participation in sports (30). Energy expenditure, during either leisure-time activity or at household chores, was obtained as the sum of the products of the time spent in each activity by its assigned metabolic equivalent (MET), and was expressed in METs · h/wk (31). Education was assessed as the highest completed educational level, which was classified into 5 categories from uncompleted primary school to completed university. Participants were grouped into 3 categories of consumption of any type of tobacco (current smoker, ex-smoker, or never smoker), and the number of cigarettes consumed was recorded for smokers. Data on parity were obtained by asking the women how many children they have had. Women were classified as being postmenopausal when >1 y had passed since their last menstrual cycle.

Statistical analysis
Participants were classified in sex-specific quintiles of EI from fried food. The association of fried food intake with obesity was modeled with mixed-effects logistic models, with the study center as a random effect to account for regional differences in food preparation. We estimated the odds ratios of obesity for each of the 4 upper quintiles of percentage of the EI from fried food compared with the lowest quintile. Linear trends in odds ratios were tested for by modeling quintiles of intake as a continuous variable. Separate analyses were done for general and central obesity and for men and women.

Logistic regression models were adjusted for age (in 5-y periods), physical activity at work (sedentary occupation, standing occupation, manual work, heavy manual work, and nonworker), leisure-time physical activity (METs·h/wk in quintiles), household activity (METs · h/wk in quintiles), tobacco consumption (ex-smoker, and number of cigarettes smoked per day), education level (no formal education, primary studies, vocational training, secondary studies, and university studies), and total EI as a continuous variable. Analyses for women were further adjusted for parity, menopausal status, and use of hormone replacement therapy. We fitted an energy-adjusted model by using the multivariate nutrient density method. In these models (32), the association of EI from fried food with obesity is interpreted as the odds ratio for obesity associated with replacing a given percentage of energy from nonfried food with the same percentage of energy from fried food.

The association of the consumption of specific groups of fried food with general and central obesity was assessed with logistic regression models and after adjustment for the same variables as previously described. Reported P values are 2-tailed. Random-effects logistic analyses were performed with the glimmix macro (33) and SAS statistical software (version 8.2; SAS Institute, Cary, NC).


   RESULTS
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
DISCUSSION
 REFERENCES
 
The prevalence of general obesity was 27.6% in men and 27.7% in women; the prevalence of central obesity was 34.5% and 42.6%, respectively. The mean ± SD proportion of EI from fried food was 15.6 ± 7.3% in men and 12.6 ± 6.7% in women. A total of 206 different fried foods were recorded at least once, and the oils used for frying were olive oil, virgin olive oil, sunflower oil, corn oil, soy oil, seed oils (the specific seed oil consumed was not reported), and mixed oils.

Increased EI from fried food was associated with greater intake of energy from lipids in both sexes and with higher total EI in women (Table 1Go). Participants of both sexes who were in sedentary occupations and those with a university education had a lower intake of fried food than did those who were more active and had less than a university education. In men, former smokers had a lower consumption of fried food than did women; among women, those with lower fried food intake were more likely to be older and postmenopausal. All of these associations were significant (P < 0.01).


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  		TABLE 1. Characteristics of the study population by quintile(Q) of percentage of energy intake from fried food1

 
The prevalence of general and central obesity increased with increasing intake of energy from fried food (Table 2Go). The odds ratios for general obesity in the highest versus the lowest quintile of EI from fried food were 1.26 (95% CI: 1.09, 1.45; P for linear trend < 0.001) in men and 1.25 (1.11, 1.41; P for linear trend < 0.001) in women. Corresponding odds ratios for central obesity were 1.17 (1.02, 1.34; P for linear trend = 0.003) and 1.28 (1.15, 1.42; P for linear trend < 0.001), respectively.


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  		TABLE 2. Odds ratios (and 95% CIs) of general and central obesity by quintile (Q) of percentage of energy intake from fried food

 
Overall, 69.6% of men and 68.3% of women reported using olive oil (regular or virgin), and the rest of the participants reported using other oils (sunflower, corn, or soy). Subjects in the highest quintile of fried food intake were more likely than were those in the lowest quintile to have both general and central obesity regardless of the type of oil used for frying, although the associations were not significant for general or central obesity and consumption of other oils in women or for central obesity and consumption of olive oil in men (Table 3Go).


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  		TABLE 3. Odds ratios (and 95% CIs) of general and central obesity by quintile (Q) of percentage of energy intake from fried food according to type of oil consumed (olive oil or other oils)

 
Fried meat, fish, potatoes, and eggs were the 4 groups of fried food most frequently consumed by study participants, with >75% of men and women consuming each of those groups of food. EI in men and women, respectively, ranged from to 2.0% and 1.5% for fried eggs to 5.0% and 3.6% for fried meat. Consumption of fried meat was positively associated with general obesity in men, and the intake of fried fish was associated with general obesity in women. The same pattern was observed for central obesity. In addition, consumption of fried egg was associated with central obesity in men (Figure 1Go).


Figure 1
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  		FIGURE 1.. Odds ratios and 95% CIs of general and central obesity in the highest quintile versus the lowest quintile of percentage energy intake of 4 specific groups of fried foods. General obesity: BMI ≥ 30; central obesity: waist circumference ≥ 102 and ≥ 88 cm in men and women, respectively. Foods shown in the figure were the fried food groups more commonly consumed during the European Prospective Investigation of Cancer and Nutrition-Spain. Logistic regression models were adjusted for age (29 to ≤40, >40 to ≤45, >45 to ≤50, >50 to ≤55, >55 to ≤60, or >60 y), physical activity at work (sedentary occupation, standing occupation, manual work, heavy manual work, or nonworker), leisure-time physical activity (metabolic equivalents · h/wk in quintiles), household physical activity (metabolic equivalents · h/wk in quintiles), smoking status (former smokers or no. cigarettes/d for current smokers), educational level (no formal education, primary school, vocational training, secondary school, or university), energy intake, percentage of energy of other fried foods listed in the figure, and study center (Asturias, Gipuzkoa, Granada, Murcia, or Navarra). The center was modeled as a random effect. For women, the model was also adjusted for parity, postmenopausal status, and hormone replacement treatment. Cutoffs for the highest and lowest quintiles of percentage of energy intake in men were 8.4% and 1.0% for fried meat, 3.9% and 0.7% for fried fish, 4.17% and 0.75% for fried potatoes, and 3.2% and 0.5% for fried eggs. Cutoffs for the highest and lowest quintiles of energy intake in women were 6.3% and 0.0% for fried meat, 3.6% and 0.5% for fried fish, 3.2% and 0.0% for fried potatoes, and 2.5% and 0.0% for fried eggs. The interactions of fried meat, fried fish, and fried eggs with sex were statistically significant (P < 0.10), but the interaction of fried eggs with sex for central obesity was not significant (P = 0.28).

 

   DISCUSSION
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
REFERENCES
 
In this large cross-sectional analysis of the EPIC-Spain cohort, fried food intake was positively associated with general and central obesity regardless of total EI only in the subjects in the highest quintile of EI from fried foods, corresponding to >21.7% of total calorie intake in men and >18.0% of that in women. This association was observed in both sexes and in participants who reported using olive oil or other types of oil for frying.

During frying, food is totally or partially immersed in oil that is heated above 180 °C. This process modifies both the foods and the frying medium. In contact with hot frying oil, food loses water, absorbs oil, and exchanges lipids with the frying oil. The amount of oil absorbed by frying food depends on the type of food and the frying conditions, but it may be >20% of its weight. French fries, for example, may absorb 19% of their weight as oil during frying (34). Fried food also undergoes pyrolytical decomposition in surface layers, which results in the formation of heterocyclic amines. Finally, frying food absorbs degradation products of the frying oil, such as polymers and polar compounds. These products have been associated with different types of cancer (35-40), endothelial dysfunction (41), and hypertension (42).

Several mechanisms may explain a positive association between fried food intake and obesity. Fried foods are crunchy, aromatic, highly palatable, and rich in fats. As a consequence, eating fried food in ad libitum conditions may result in higher absolute intake of foods with high energy density and low satiety index. The relatively low satiety index of fats (43) may be related to their low ability to stimulate insulin and leptin production (44). In addition, fat intake may stimulate food consumption beyond its effect on satiety. For instance, when lunch and snacks with different content of fat and carbohydrates but with similar effects on postmeal satiety were offered, subjects consuming the high-fat lunch and snacks had higher fat and EI over the whole day than did subjects consuming high-carbohydrate foods (45).

Fried food may also induce obesity by increasing food energy density. Energy density, palatability, and EI are highly related, and energy density is a primary determinant of voluntary EI (46). Studies have shown that energy density is a better predictor of total EI than is fat content in both lean and obese females (47). Energy density may thus affect EI independent of macronutrient content or palatability (4).

Fat intake with fried foods could be also associated with obesity because fats are absorbed and metabolized more efficiently than are other macronutrients (3, 48, 49). Unlike those mechanisms described above, this type of potential mechanism does not involve greater EI. It has been argued that body weight may depend on macronutrient composition in addition to total EI (50-53) and that low-fat, high-protein, and high-complex carbohydrate diets should be recommended for obesity prevention. This view, however, is controversial. Although short-term studies show a modest reduction in body weight with low fat diets, long-term studies suggest that total EI is much more important than macronutrient composition for body weight (54).

Because the analyses were adjusted for EI, mechanisms not involving a greater EI are the most likely explanation for our findings. However, given that the estimation of EI in epidemiologic studies is less than perfect, other mechanisms implicating higher EI, such as increased food consumption and energy density, cannot be ruled out as contributors to the association between fried food intake and obesity.

A priori, we expected that the association between fried food and obesity would be linear. In women, there is certain indication of linearity because the ORs tended to increase fairly monotonically from the lowest quintile of fried food consumption. Moreover, given that the association between fried food and obesity is only modest for the highest quintile, we were not surprised that such an association was not observed in the intermediate quintiles. Our results, however, do not permit a conclusion as to whether the association is graded or whether it represents a threshold.

In our study, the association of fried food intake with obesity was observed both in subjects who reported using olive oil for frying and in those using other oils. Olive oil is more resistant to oxidation than are other oils (55), and it has been considered the oil of choice for frying. Deep frying in olive oil may not adversely affect postprandial endothelial function (41). Furthermore, insulin resistance was lower in subjects using olive oil for cooking than in those using sunflower oil or mixed oils (56). However, our results do not support a differential association of olive oil used for frying with general or central obesity.

Because the association between fried food and obesity is only modest in the highest quintile of consumption, it is more likely that we would find associations for fried food as a whole than for any individual type of fried food. This situation is comparable to others in nutritional epidemiology: in that field of study, it is easier to detect associations between health and certain overall dietary patterns (eg, "prudent patterns" defined as a priori or Mediterranean diet scores defined as a posteriori) than to detect associations between health and the individual dietary components (57). Nevertheless, we have found associations in the expected direction for fried meat and fried eggs in men and for fried fish in women.

An important strength of our study was the availability of a detailed diet history, which allowed the ascertainment of a wide variety of commonly consumed foods and of food-preparation methods. Information on cooking methods was available for 99% of the foods recorded. Other strengths included the use of a large sample of free-living participants from diverse geographic areas in Spain and the collection of information on many potentially important covariates, such as total EI and physical activity.

Several potential limitations, however, should be considered in the interpretation of our findings. The cross-sectional design of our analysis did not allow us to establish a causal relation between fried food intake and obesity. We cannot know whether a higher intake of fried food preceded the development of obesity or was a consequence of it. In addition, it is possible that obese subjects changed their food intake, including that of fried food, in an attempt to lose weight. Furthermore, we cannot exclude differential biases in the reporting of fried food intake in obese compared with nonobese participants. In a study of 38 healthy females, underreporting of the intakes of fried food and candy was greater in the obese than in the nonobese participants (58). Indeed, fried foods that are widely perceived as unhealthy, such as fried potatoes, had no relation with obesity in our study. We speculate that this difference may be due to a combination of changes in dietary habits by obese participants to avoid fried potatoes and to differential underreporting of these food items by obese participants. In the EPIC-Spain cohort, total EI was underestimated by 5.5% in obese males and by 17.5% in obese females according to the discrepancy between reported intake and anthropometric measurements (59). Unfortunately, no data are available on the extent of differential underreporting of different types of foods, including fried foods, among obese subjects.

Deep-frying, in which frying foods are totally immersed in oil, and pan-frying, in which frying foods are only partially immersed in oil, have different effects on the absorption of fat by the frying foods, depending on the food, the oil used, and the frying conditions (60, 61). Our study, however, could not distinguish between the 2 frying methods. As a final limitation, it was not possible to separate the effect of a specific food from the effect of the cooking method.

Despite these limitations, our study provides important observational evidence of a positive association between fried food intake and obesity, a major public health problem. The prevalence of obesity in Mediterranean countries is already very high. Of the 10 European countries participating in EPIC, Spain, Italy, and Greece had the highest prevalences of obesity (28). Indeed, the prevalence of obesity in our study is only slightly lower than that in the United States, although the prevalence of morbid obesity was lower than that in the United States (62). Because fried food contains potentially carcinogenic products of degradation, a potential effect of fried food on the risk of obesity would add to the rationale for recommending other methods of cooking when possible and for reducing or avoiding some foods when frying is the only possible cooking procedure (eg, fried snacks). Because frying in oil is a common and widely accepted form of cooking, confirmation of our findings in prospective studies and in randomized controlled trials should be a priority in public health nutrition.


   ACKNOWLEDGMENTS
 
The authors' responsibilities were as follows—CAG: coordinator of the European Prospective Investigation of Cancer and Nutrition-Spain; PG-C and FR-A: the concept of the study and writing the draft of the manuscript; CAG, AB, MDI, CM, JRQ, and CN: provision of the original data and information on the respective populations and input on the study design and analysis; and all authors: interpretation of results and contributions to the writing of the manuscript. None of the authors had a personal or financial conflict of interest.


   REFERENCES
TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Pokorn J, Panek J, Trojakova L. Effect of food component changes during frying on the nutrition value of fried food. Forum Nutr 2003;56:348-50.[Medline]
  2. Fillion L, Henry CJ. Nutrient losses and gains during frying: a review. Int J Food Sci Nutr 1998;49:157-68.[Medline]
  3. Astrup A, Astrup A, Buemann B, Flint A, Raben A. Low-fat diets and energy balance: how does the evidence stand in 2002? Proc Nutr Soc 2002;61:299-309.[Medline]
  4. Bell EA, Castellanos VH, Pelkman CL, Thorwart ML, Rolls BJ. Energy density of foods affects energy intake in normal-weight women. Am J Clin Nutr 1998;67:412-20.[Abstract]
  5. Taveras EM, Berkey CS, Rifas-Shiman SL, et al. Association of consumption of fried food away from home with body mass index and diet quality in older children and adolescents. Pediatrics 2005;116:e518-24.[Abstract/Free Full Text]
  6. Guthrie JF, Lin BH, Frazao E. Role of food prepared away from home in the American diet, 1977-78 versus 1994-96: changes and consequences. J Nutr Educ Behav 2002;34:140-50.[Medline]
  7. Rohrmann S, Linseisen J, Becker N, et al. Cooking of meat and fish in Europe-results from the European Prospective Investigation into Cancer and Nutrition (EPIC). Eur J Clin Nutr 2002;56:1216-30.[Medline]
  8. Hubert HB, Snider J, Winkleby MA. Health status, health behaviors, and acculturation factors associated with overweight and obesity in Latinos from a community and agricultural labor camp survey. Prev Med 2005;40:642-51.[Medline]
  9. Williams DE, Prevost AT, Whichelow MJ, Cox BD, Day NE, Wareham NJ. A cross-sectional study of dietary patterns with glucose intolerance and other features of the metabolic syndrome. Br J Nutr 2000;83:257-66.[Medline]
  10. Gillis LJ, Bar-Or O. Food away from home, sugar-sweetened drink consumption and juvenile obesity. J Am Coll Nutr 2003;22:539-45.[Abstract/Free Full Text]
  11. Pangborn RM, Bos KE, Stern JS. Dietary fat intake and taste responses to fat in milk by under-, normal, and overweight women. Appetite 1985;6:25-40.[Medline]
  12. Nicklas TA, Yang SJ, Baranowski T, Zakeri I, Berenson G. Eating patterns and obesity in children. The Bogalusa Heart Study. Am J Prev Med 2003;25:9-16.
  13. Fu FH, Hao X. Physical development and lifestyle of Hong Kong secondary school students. Prev Med 2002;35:499-505.[Medline]
  14. Ishihara T, Takeda Y, Mizutani T, et al. [Relationships between infant lifestyle and adolescent obesity. The Enzan Maternal and Child Health Longitudinal Study]. Nippon Koshu Eisei Zasshi 2003;50:106-17 (in Japanese).[Medline]
  15. Levitsky DA, Halbmaier CA, Mrdjenovic G. The freshman weight gain: a model for the study of the epidemic of obesity. Int J Obes Relat Metab Disord 2004;28:1435-42.[Medline]
  16. Sichieri R. Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obes Res 2002;10:42-8.[Medline]
  17. Berteus FH, Torgerson JS, Sjostrom L, Lindroos AK. Snacking frequency in relation to energy intake and food choices in obese men and women compared to a reference population. Int J Obes (Lond) 2005;29:711-9.[Medline]
  18. Ghosh A, Bose K, Das Chaudhuri AB. Association of food patterns, central obesity measures and metabolic risk factors for coronary heart disease (CHD) in middle aged Bengalee Hindu men, Calcutta, India. Asia Pac J Clin Nutr 2003;12:166-71.[Medline]
  19. Riboli E. Nutrition and cancer: background and rationale of the European Prospective Investigation into Cancer and Nutrition (EPIC). Ann Oncol 1992;3:783-91.[Abstract/Free Full Text]
  20. Riboli E, Kaaks R. The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 1997;26(suppl):S6-14.
  21. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 1985;39(suppl):5-41.[Medline]
  22. Lee JH, Reed DR, Price RA. Familial risk ratios for extreme obesity: implications for mapping human obesity genes. Int J Obes Relat Metab Disord 1997;21:935-40.[Medline]
  23. Burke BS. The dietary history as a tool in research. J Am Diet Assoc 1947;23:104-11.
  24. Péquignot G, Cubeau J. Enquêtes méthodologiques comparant chez les mêmes sujets la consommation alimentaire appreciée par interrogatoire à la consommation mesurée par pesée. (Methodological surveys comparing interviews and food-weighing consumption assessments in the same subjects.) Epidemiol Med Soc Sante Publique 1973;21:585-608 (in French).
  25. EPIC group of Spain. Relative validity and reproducibility of a diet history questionnaire in Spain. I. Foods. EPIC Group of Spain. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 1997;26(suppl):S91-9.[Abstract/Free Full Text]
  26. EPIC group of Spain. Relative validity and reproducibility of a diet history questionnaire in Spain. II. Nutrients. EPIC Group of Spain. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 1997;26(suppl):S100-9.[Abstract/Free Full Text]
  27. Slimani N, Torrent M, Farrioll N. European Prospective Investigation into Cancer and Nutrition (EPIC): food composition tables—Spain. Lyon, France: International Agency for Research on Cancer, 1991.
  28. Haftenberger M, Lahmann PH, Panico S, et al. Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 2002;5:1147-62.[Medline]
  29. Pols MA, Peeters PH, Ocke MC, Slimani N, Bueno-de-Mesquita HB, Collette HJ. Estimation of reproducibility and relative validity of the questions included in the EPIC Physical Activity Questionnaire. Int J Epidemiol 1997;26(suppl):S181-9.[Abstract/Free Full Text]
  30. Haftenberger M, Schuit AJ, Tormo MJ, et al. Physical activity of subjects aged 50-64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 2002;5:1163-76.[Medline]
  31. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000;32:S498-504.
  32. Hu FB, Stampfer MJ, Rimm E, et al. Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol 1999;149:531-40.[Abstract/Free Full Text]
  33. SAS Institute. %GLIMMIX macro to fit the generalized linear mixed model. Internet: http://support.sas.com/ctx/samples/index.jsp?sid=536 (accessed 25 November 2006).
  34. Pokorny J. Changes of nutrients at frying temperatures. In: Boskou D, Elmadfa I, eds. Frying of food. Boca Raton, FL: CRC Press, 1999:69-103.
  35. Lin J, Zhang SM, Cook NR, Lee IM, Buring JE. Dietary fat and fatty acids and risk of colorectal cancer in women. Am J Epidemiol 2004;160:1011-22.[Abstract/Free Full Text]
  36. De Stefani E, Boffetta P, Mendilaharsu M, Carzoglio J, Deneo-Pellegrini H. Dietary nitrosamines, heterocyclic amines, and risk of gastric cancer: a case-control study in Uruguay. Nutr Cancer 1998;30:158-62.[Medline]
  37. De Stefani E, Ronco A, Mendilaharsu M, Guidobono M, Deneo-Pellegrini H. Meat intake, heterocyclic amines, and risk of breast cancer: a case-control study in Uruguay. Cancer Epidemiol Biomarkers Prev 1997;6:573-81.[Abstract]
  38. De Stefani E, Fontham ET, Chen V, et al. Fatty foods and the risk of lung cancer: a case-control study from Uruguay. Int J Cancer 1997;71:760-6.[Medline]
  39. Galeone C, Pelucchi C, Talamini R, et al. Role of fried foods and oral/pharyngeal and oesophageal cancers. Br J Cancer 2005;92:2065-9.[Medline]
  40. Dai Q, Shu XO, Jin F, Gao YT, Ruan ZX, Zheng W. Consumption of animal foods, cooking methods, and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 2002;11:801-8.[Abstract/Free Full Text]
  41. Williams MJ, Sutherland WH, McCormick MP, de Jong SA, Walker RJ, Wilkins GT. Impaired endothelial function following a meal rich in used cooking fat. J Am Coll Cardiol 1999;33:1050-5.[Abstract/Free Full Text]
  42. Soriguer F, Rojo-Martinez G, Dobarganes MC, et al. Hypertension is related to the degradation of dietary frying oils. Am J Clin Nutr 2003;78:1092-7.[Abstract/Free Full Text]
  43. Blundell JE, Lawton CL, Cotton JR, Macdiarmid JI. Control of human appetite: implications for the intake of dietary fat. Annu Rev Nutr 1996;16:285-319.[Medline]
  44. Havel PJ, Townsend R, Chaump L, Teff K. High-fat meals reduce 24-h circulating leptin concentrations in women. Diabetes 1999;48:334-41.[Abstract]
  45. Green SM, Wales JK, Lawton CL, Blundell JE. Comparison of high-fat and high-carbohydrate foods in a meal or snack on short-term fat and energy intakes in obese women. Br J Nutr 2000;84:521-30.[Medline]
  46. McCrory MA, Fuss PJ, Saltzman E, Roberts SB. Dietary determinants of energy intake and weight regulation in healthy adults. J Nutr 2000;130:276S-9S.[Medline]
  47. Rolls BJ, Bell EA, Castellanos VH, Chow M, Pelkman CL, Thorwart ML. Energy density but not fat content of foods affected energy intake in lean and obese women. Am J Clin Nutr 1999;69:863-71.[Abstract/Free Full Text]
  48. Hill JO, Peters JC, Reed GW, Schlundt DG, Sharp T, Greene HL. Nutrient balance in humans: effects of diet composition. Am J Clin Nutr 1991;54:10-7.[Abstract/Free Full Text]
  49. Dourmashkin JT, Chang GQ, Gayles EC, et al. Different forms of obesity as a function of diet composition. Int J Obes (Lond) 2005;29:1368-78.[Medline]
  50. Astrup A. The role of dietary fat in obesity. Semin Vasc Med 2005;5:40-7.[Medline]
  51. Hays NP, Starling RD, Liu X, et al. Effects of an ad libitum low-fat, high-carbohydrate diet on body weight, body composition, and fat distribution in older men and women: a randomized controlled trial. Arch Intern Med 2004;164:210-7.[Abstract/Free Full Text]
  52. Astrup A. The role of dietary fat in the prevention and treatment of obesity. Efficacy and safety of low-fat diets. Int J Obes Relat Metab Disord 2001;25(suppl):S46-50.
  53. Bray GA, Popkin BM. Dietary fat intake does affect obesity! Am J Clin Nutr 1998;68:1157-73.[Abstract]
  54. Willett WC, Leibel RL. Dietary fat is not a major determinant of body fat. Am J Med 2002;113(suppl)B:47S-59S.
  55. Gallina-Toschi T, Cerretani L, Bendini A, Bonoli-Carbognin M, Lercker G. Oxidative stability and phenolic content of virgin olive oil: an analytical approach by traditional and high resolution techniques. J Sep Sci 2005;28:859-70.[Medline]
  56. Soriguer F, Esteva I, Rojo-Martinez G, et al. Oleic acid from cooking oils is associated with lower insulin resistance in the general population (Pizarra Study). Eur J Endocrinol 2004;150:33-9.[Abstract]
  57. Hu FB. Dietary patterns analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002;13:3-9.[Medline]
  58. Scagliusi FB, Polacow VO, Artioli GG, Benatti FB, Lancha AH Jr. Selective underreporting of energy intake in women: magnitude, determinants, and effect of training. J Am Diet Assoc 2003;103:1306-13.[Medline]
  59. Gonzalez CA, Pera G, Quiros JR, et al. Types of fat intake and body mass index in a Mediterranean country. Public Health Nutr 2000;3:329-36.[Medline]
  60. Andrikopoulos NK, Dedoussis GV, Falirea A, Kalogeropoulos N, Hatzinikola HS. Deterioration of natural antioxidant species of vegetable edible oils during the domestic deep-frying and pan-frying of potatoes. Int J Food Sci Nutr 2002;53:351-63.[Medline]
  61. Martin PG, Quintana Samperio MA. Los efectos de freír y asar a la plancha en el contenido graso de alimentos comunes (salmón, pescadilla y filete de vaca). [The effects of frying and grilling on the fat content of common foods (salmon, hake, and beefsteak).] Rev Clin Esp 1994;194:966-9 (in Spanish).[Medline]
  62. Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002. JAMA 2004;291:2847-50.[Abstract/Free Full Text]
Received for publication September 20, 2006. Accepted for publication February 21, 2007.





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