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- Cust, A. E., et al.
(author)
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Total dietary carbohydrate, sugar, starch and fibre intakes in the European Prospective Investigation into Cancer and Nutrition
- 2009
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 1476-5640 .- 0954-3007. ; 63:4s, s. 37-60
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Journal article (peer-reviewed)abstract
- Objective: To describe dietary carbohydrate intakes and their food sources among 27 centres in 10 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods: Between 1995 and 2000, 36 034 subjects, aged between 35-74 years, were administered a standardized, 24-h dietary recall using a computerized interview software programme (EPIC-SOFT). Intakes (g/day) of total carbohydrate, sugars, starch and fibre were estimated using the standardized EPIC Nutrient Database (ENDB). Mean intakes were adjusted for age, total energy intake, height and weight, and were weighted by season and day of recall. Results: Adjusted mean total carbohydrate intakes were highest in Italy and in the UK health-conscious cohort, and were lowest in Spain, Greece and France. Total fibre intakes were highest in the UK health-conscious cohort and lowest in Sweden and the UK general population. Bread contributed the highest proportion of carbohydrates (mainly starches) in every centre. Fruit consumption contributed a greater proportion of total carbohydrates (mainly sugars) among women than among men, and in southern centres compared with northern centres. Bread, fruits and vegetables represented the largest sources of fibre, but food sources varied considerably between centres. In stratified analyses, carbohydrate intakes tended to be higher among subjects who were physically active, never-smokers or non-drinkers of alcohol. Conclusions: Dietary carbohydrate intakes and in particular their food sources varied considerably between these 10 European countries. Intakes also varied according to gender and lifestyle factors. These data will form the basis for future aetiological analyses of the role of dietary carbohydrates in influencing health and disease. European Journal of Clinical Nutrition (2009) 63, S37-S60; doi: 10.1038/ejcn.2009.74
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| 3. |
- Linseisen, J., et al.
(author)
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Dietary fat intake in the European Prospective Investigation into Cancer and Nutrition: results from the 24-h dietary recalls
- 2009
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 1476-5640 .- 0954-3007. ; 63:4s, s. 61-80
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Journal article (peer-reviewed)abstract
- Objectives: This paper describes the dietary intake of total fat, saturated (SFA), monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) and cholesterol of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) in 27 centres across 10 countries. Methods: Between 1995 and 2000, a stratified random sample of 36 034 participants (age range 35-74 years) completed a standardized 24-h dietary recall, assessed by means of the computer software EPIC-SOFT. Lipid intake data were calculated using a standardized nutrient database. Results: On average, the contribution of fat to total energy intake was >= 34% of energy intake (% en) in women and >= 36% en in men for most EPIC centres, except for the British, Dutch and most Italian cohorts. Total fat (> 40% en) and MUFA intakes (21% en, mainly from olive oil) were highest in Greece. Except for the Greek, Spanish and Italian centres, the average MUFA intake ranged between 10 and 13% en, with a high proportion derived from animal sources. SFA intake in women and men was lowest in the Greek, Spanish, Italian and UK cohorts with an average of <= 13% en (down to 9% en), and highest in the Swedish centres (16% en). The mean PUFA intake was in the range of 4-8% en, being highest in the UK health-conscious cohort. The average cholesterol intake across EPIC varied from 140 to 384 mg/d in women and 215-583 mg/d in men. Conclusions: The presented data show differences and similarities in lipid intake across the European EPIC cohorts and also show differences in food sources of dietary lipids. European Journal of Clinical Nutrition (2009) 63, S61-S80; doi: 10.1038/ejcn.2009.75
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| 4. |
- Kroeger, J., et al.
(author)
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Specific food group combinations explaining the variation in intakes of nutrients and other important food components in the European Prospective Investigation into Cancer and Nutrition: an application of the reduced rank regression method
- 2009
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In: European Journal of Clinical Nutrition. - : Springer Science and Business Media LLC. - 1476-5640 .- 0954-3007. ; 63:4s, s. 263-274
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Journal article (peer-reviewed)abstract
- Objective: To identify combinations of food groups that explain as much variation in absolute intakes of 23 key nutrients and food components as possible within the country-specific populations of the European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects/Methods: The analysis covered single 24-h dietary recalls (24-HDR) from 36 034 subjects (13 025 men and 23 009 women), aged 35-74 years, from all 10 countries participating in the EPIC study. In a set of 39 food groups, reduced rank regression (RRR) was used to identify those combinations (RRR factors) that explain the largest proportion of variation in intake of 23 key nutrients and food components, namely, proteins, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, cholesterol, sugars (sum of mono-and disaccharides), starch, fibre, alcohol, calcium, iron, potassium, phosphorus, magnesium, vitamin D, beta-carotene, retinol and vitamins E, B1, B2, B6, B12 and C (RRR responses). Analyses were performed at the country level and for all countries combined. Results: In the country-specific analyses, the first RRR factor explained a considerable proportion of the total nutrient intake variation in all 10 countries (27.4-37.1%). The subsequent RRR factors were much less important in explaining the variation (<= 6%). Strong similarities were observed for the first country-specific RRR factor between the individual countries, largely characterized by consumption of bread, vegetable oils, red meat, milk, cheese, potatoes, margarine and processed meat. The highest explained variation was seen for protein, potassium, phosphorus and magnesium (50-70%), whereas sugars, beta-carotene, retinol and alcohol were only marginally explained (<= 5%). The explained proportion of the other nutrients ranged between these extremes. Conclusions: A combination of food groups was identified that explained a considerable proportion of the nutrient intake variation in 24-HDRs in every country-specific EPIC population in a similar manner. This indicates that, despite the large variability in food and nutrient intakes reported in the EPIC, the variance of intake of important nutrients is explained, to a large extent, by similar food group combinations across countries. European Journal of Clinical Nutrition (2009) 63, S263-S274; doi: 10.1038/ejcn.2009.85
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| 5. |
- Steffen, Annika, et al.
(author)
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Anthropometry and Esophageal Cancer Risk in the European Prospective Investigation into Cancer and Nutrition
- 2009
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In: Cancer Epidemiology Biomarkers & Prevention. - 1538-7755 .- 1055-9965. ; 18:7, s. 2079-2089
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Journal article (peer-reviewed)abstract
- Background: Increasing evidence suggests that general obesity [measured by body mass index (BMI)] is positively associated with risk of esophageal adenocarcinoma (EAC). In contrast, previous studies have shown inverse relations with esophageal squamous cell carcinoma (ESCC). However, it is still unclear whether body fat distribution, particularly abdominal obesity, is associated with each type of esophageal cancer. Methods: We applied multivariable adjusted Cox proportional hazards regression to investigate the association between anthropometric measures and risk of EAC and ESCC among 346,554 men and women participating in the European Prospective Investigation into Cancer and Nutrition. All statistical tests were two sided. Results: During 8.9 years of follow-up, we documented 88 incident cases of EAC and 110 cases of ESCC. BMI, waist circumference, and waist-to-hip ratio (WHR) were positively associated with EAC risk [highest versus lowest quintile; relative risk (RR), 2.60; 95% confidence interval (95% CI), 1.23-5.51; P-trend < 0.01; RR, 3.07; 95% CI, 1.35-6.98; P-trend < 0.003; and RR, 2.12; 95% CI, 0.98-4.57; P-trend < 0.004]. In contrast, BMI and waist circumference were inversely related to ESCC risk, whereas WHR showed no association with ESCC. In stratified analyses, BMI and waist circumference were significantly inversely related to ESCC only among smokers but not among nonsmokers. However, when controlled for BMI, we found positive associations for waist circumference and WHR with ESCC, and these associations were observed among smokers and nonsmokers. Conclusion: General and abdominal obesity were associated with higher EAC risk. Further, our study suggests that particularly an abdominal body fat distribution might also be a risk factor for ESCC. (Cancer Epidemiol Biomarkers Prev 2009;18(7):2079-89)
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| 6. |
- Britton, Julie A, et al.
(author)
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Anthropometric characteristics and non-Hodgkin's lymphoma and multiple myeloma risk in the European Prospective Investigation into Cancer and Nutrition (EPIC).
- 2008
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In: Haematologica. - : Ferrata Storti Foundation (Haematologica). - 0390-6078 .- 1592-8721. ; 93:11, s. 1666-1677
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Journal article (peer-reviewed)abstract
- BACKGROUND:The incidences of non-Hodgkin's lymphoma and multiple myeloma are increasing steadily. It has been hypothesized that this may be due, in part, to the parallel rising prevalence of obesity. It is biologically plausible that anthropometric characteristics can infuence the risk of non-Hodgkin's lymphoma and multiple myeloma.DESIGN AND METHODS:In the context of the European Prospective Investigation into Cancer and Nutrition (EPIC), anthropometric characteristics were assessed in 371,983 cancer-free individuals at baseline. During the 8.5 years of follow-up, 1,219 histologically confirmed incident cases of non-Hodgkin's lymphoma and multiple myeloma occurred in 609 men and 610 women. Gender-specific proportional hazards models were used to estimate relative risks and 95% confidence intervals (95% CI) of development of non-Hodgkin's lymphoma and multiple myeloma in relation to the anthropometric characteristics.RESULTS:Height was associated with overall non-Hodgkin's lymphoma and multiple myeloma in women (RR 1.50, 95% CI 1.14-1.98) for highest versus lowest quartile; p-trend < 0.01) but not in men. Neither obesity (weight and body mass index) nor abdominal fat (waist-to-hip ratio, waist or hip circumference) measures were positively associated with overall non-Hodgkin's lymphoma and multiple myeloma. Relative risks for highest versus lowest body mass index quartile were 1.09 (95% CI 0.85-1.38) and 0.92 (95% CI 0.71-1.19) for men and women, respectively. Women in the upper body mass index quartile were at greater risk of diffuse large B-cell lymphoma (RR 2.18, 95% CI 1.05-4.53) and taller women had an elevated risk of follicular lymphoma (RR 1.25, 95% CI 0.59-2.62). Among men, height and body mass index were non-significantly, positively related to follicular lymphoma. Multiple myeloma risk alone was elevated for taller women (RR 2.34, 95% CI 1.29-4.21) and heavier men (RR 1.77, 95% CI 1.02-3.05).CONCLUSIONS:The EPIC analyses support an association between height and overall non-Hodgkin's lymphoma and multiple myeloma among women and suggest heterogeneous subtype associations. This is one of the first prospective studies focusing on central adiposity and non-Hodgkin's lymphoma subtypes.
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| 10. |
- Travier, Noemie, et al.
(author)
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Smoking and body fatness measurements: A cross-sectional analysis in the EPIC-PANACEA study
- 2009
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In: Preventive Medicine. - New York : Elsevier BV. - 1096-0260 .- 0091-7435. ; 49:5, s. 365-373
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Journal article (peer-reviewed)abstract
- Objective. The present study investigates the cross-sectional relationship between tobacco smoking and body fatness. Methods. This cross-sectional study consisted of 469,543 men and women who participated in the European Prospective Investigation into Cancer and Nutrition (EPIC) study between 1992 and 2000 providing anthropometric measurements and information on smoking. Adjusted multilevel mixed-effects linear regression models were used to assess the association between smoking and body fat mass. Results. The analyses showed that BMI and WC were positively associated with smoking intensity in current smokers but negatively associated with time since quitting in former smokers. When compared to never smokers, average current smokers (17 and 13 cig/day for men and women, respectively) showed a lower BMI. When average former smokers (men and women who had stopped smoking for 16 and 15 years, respectively) were compared to never smokers, higher BMI and WC were observed in men, whereas no significant associations were observed in women. Conclusions. This cross-sectional study suggests that smoking may be associated with body fatness and fat distribution. Although our findings cannot establish cause and effect, they suggest that providing information and support to those who want to stop may help in preventing weight gain and therefore weaken a barrier against stopping smoking. (C) 2009 Elsevier Inc. All rights reserved.
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