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Intake of total, animal and plant proteins, and their food sources in 10 countries in the European Prospective Investigation into Cancer and Nutrition

Abstract

Objective:

To describe dietary protein intakes and their food sources among 27 redefined centres in 10 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Methods:

Between 1995 and 2000, 36 034 persons, aged between 35 and 74 years, were administered a standardized 24-h dietary recall (24-HDR) using a computerized interview software programme (EPIC-SOFT). Intakes (g/day) of total, animal and plant proteins were estimated using the standardized EPIC Nutrient Database (ENDB). Mean intakes were adjusted for age, and weighted by season and day of recall.

Results:

Mean total and animal protein intakes were highest in the Spanish centres among men, and in the Spanish and French centres among women; the lowest mean intakes were observed in the UK health-conscious group, in Greek men and women, and in women in Potsdam. Intake of plant protein was highest among the UK health-conscious group, followed by some of the Italian centres and Murcia, whereas Sweden and Potsdam had the lowest intake. Cereals contributed to the highest proportion of plant protein in all centres. The combined intake of legumes, vegetables and fruit contributed to a greater proportion of plant protein in the southern than in the northern centres. Total meat intake (with some heterogeneity across subtypes of meat) was, with few exceptions, the most important contributor to animal protein in all centres, followed by dairy and fish products.

Conclusions:

This study shows that intake of protein, especially of animal origin, differs across the 10 European countries, and also shows some differences in food sources of protein across Europe.

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References

  • Alexander J, Anderssen SA, Aro A, Becker W, Fogelholm M, Lyhne N et al. (2004). Nordic Nutrition Recommendations 2004. Nordic Council of Ministers: Copenhagen.

    Google Scholar 

  • Brustad M, Skeie G, Braaten T, Slimani N, Lund E (2003). Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program—the Norwegian calibration study. Eur J Clin Nutr 57, 107–113.

    Article  CAS  Google Scholar 

  • CDC—Centers for Disease Control Prevention (2004). Trends in intake of energy and macronutrients--United States, 1971–2000. MMWR Morb Mortal Wkly Rep 53, 80–82.

    Google Scholar 

  • Elmadfa I, Weichselbaum E (eds) (2005). Energy and nutrient intake in the European Union 58, In: European Nutrition and Health Report 2004. Karger Forum of Nutrition: Basel. pp 19–46.

    Chapter  Google Scholar 

  • Ferrari P, Slimani N, Ciampi A, Trichopoulou A, Naska A, Lauria C et al. (2002). Evaluation of under- and overreporting of energy intake in the 24-h diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 5 (Suppl), S1329–S1345.

    Article  Google Scholar 

  • Ferrari P, Kaaks R, Fahey MT, Slimani N, Day NE, Pera G et al. (2004). Within- and between-cohort variation in measured macronutrient intakes, taking account of measurement errors, in the European Prospective Investigation into Cancer and Nutrition study. Am J Epidemiol 160, 814–822.

    Article  Google Scholar 

  • Ferrari P, Day NE, Boshuizen HC, Roddam A, Hoffmann K, Thiebaut A et al. (2008). The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models. Int J Epidemiol 37, 368–378.

    Article  Google Scholar 

  • Friedenreich C, Cust A, Lahmann PH, Steindorf K, Boutron-Ruault MC, Clavel-Chapelon F et al. (2007). Physical activity and risk of endometrial cancer: the European Prospective Investigation into Cancer and Nutrition. Int J Cancer 121, 347–355.

    Article  CAS  Google Scholar 

  • Geelen A, Schouten JM, Kamphuis C, Stam BE, Burema J, Renkema JM et al. (2007). Fish consumption, n-3 fatty acids, and colorectal cancer: a meta-analysis of prospective cohort studies. Am J Epidemiol 166, 1116–1125.

    Article  Google Scholar 

  • Haftenberger M, Lahmann PH, Panico S, Gonzalez CA, Seidell JC, Boeing H et al. (2002a). 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 5 (Suppl), S1147–S1162.

    Article  Google Scholar 

  • Haftenberger M, Schuit AJ, Tormo MJ, Boeing H, Wareham N, Bueno-de-Mesquita HB et al. (2002b). Physical activity of subjects aged 50-64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 5 (Suppl), S1163–S1176.

    Article  Google Scholar 

  • Halton TL, Hu FB (2004). The effects of high protein diets on thermogenesis, satiety and weight loss: a critical review. J Am Coll Nutr 23, 373–385.

    Article  Google Scholar 

  • He K, Song Y, Daviglus ML, Liu K, Van HL, Dyer AR et al. (2004). Accumulated evidence on fish consumption and coronary heart disease mortality: a meta-analysis of cohort studies. Circulation 109, 2705–2711.

    Article  Google Scholar 

  • Heitmann BL, Lissner L (1995). Dietary underreporting by obese individuals--is it specific or nonspecific? Br Med J 311, 986–989.

    Article  CAS  Google Scholar 

  • Heitmann BL, Lissner L, Osler M (2000). Do we eat less fat, or just report so? Int J Obes Relat Metab Disord 24, 435–442.

    Article  CAS  Google Scholar 

  • Hulshof KF, Brussaard JH, Kruizinga AG, Telman J, Lowik MR (2003). Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr 57, 128–137.

    Article  CAS  Google Scholar 

  • Kaaks R, Plummer M, Riboli E, Esteve J, van Staveren W (1994). Adjustment for bias due to errors in exposure assessments in multicenter cohort studies on diet and cancer: a calibration approach. Am J Clin Nutr 59, S245–S250.

    Article  Google Scholar 

  • Kaaks R, Riboli E, van Staveren W (1995). Calibration of dietary intake measurements in prospective cohort studies. Am J Epidemiol 142, 548–556.

    Article  CAS  Google Scholar 

  • Kelemen LE, Kushi LH, Jacobs Jr DR, Cerhan JR (2005). Associations of dietary protein with disease and mortality in a prospective study of postmenopausal women. Am J Epidemiol 161, 239–249.

    Article  Google Scholar 

  • Kuhnle GG, Bingham SA (2007). Dietary meat, endogenous nitrosation and colorectal cancer. Biochem Soc Trans 35, 1355–1357.

    Article  CAS  Google Scholar 

  • Linseisen J, Kesse E, Slimani N, Bueno-de-Mesquita HB, Ocke MC, Skeie G et al (2002). Meat consumption in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts: results from 24-hour dietary recalls. Public Health Nutr 5 (Suppl), S1243–S1258.

    Article  Google Scholar 

  • Lallukka T, Laaksonen M, Rahkonen O, Roos E, Lahelma E (2007). Multiple socio-economic circumstances and healthy food habits. Eur J Clin Nutr 61, 701–710.

    Article  CAS  Google Scholar 

  • Norat T, Bingham S, Ferrari P, Slimani N, Jenab M, Mazuir M et al. (2005). Meat, fish, and colorectal cancer risk: the European Prospective Investigation into Cancer and Nutrition. J Natl Cancer Inst 97, 906–916.

    Article  Google Scholar 

  • Nordmann AJ, Nordmann A, Briel M, Keller U, Yancy Jr WS, Brehm BJ et al. (2006). Effects of low-carbohydrate vs low-fat diets on weight loss and cardiovascular risk factors: a meta-analysis of randomized controlled trials. Arch Intern Med 166, 285–293.

    Article  CAS  Google Scholar 

  • Ocké M, Larrañaga N, Grioni S, van den Berg SW, Ferrari P, Salvini S et al. (2009). Energy intake and sources of energy intake in the European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr 63 (Suppl 4), S3–S15.

    Article  Google Scholar 

  • Riboli E, Kaaks R (1997). The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26 (Suppl 1), S6–S14.

    Article  Google Scholar 

  • Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M et al. (2002). European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5 (Suppl), S1113–S1124.

    Article  Google Scholar 

  • Slimani N, Deharveng G, Charrondiere RU, van Kappel AL, Ocke MC, Welch A et al. (1999). Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. Comput Methods Programs Biomed 58, 251–266.

    Article  CAS  Google Scholar 

  • Slimani N, Ferrari P, Ocke M, Welch A, Boeing H, Liere M et al. (2000). Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900–917.

    Article  CAS  Google Scholar 

  • Slimani N, Kaaks R, Ferrari P, Casagrande C, Clavel-Chapelon F, Lotze G et al. (2002a). European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5 (Suppl), S1125–S1145.

    Article  Google Scholar 

  • Slimani N, Fahey M, Welch AA, Wirfalt E, Stripp C, Bergstrom E et al. (2002b). Diversity of dietary patterns observed in the European Prospective Investigation into Cancer and Nutrition (EPIC) project. Public Health Nutr 5 (Suppl), S1311–S1328.

    Article  Google Scholar 

  • Slimani N, Deharveng G, Unwin I, Southgate DA, Vignat J, Skeie G et al. (2007). The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 61, 1037–1056.

    Article  CAS  Google Scholar 

  • Smit E, Nieto FJ, Crespo CJ, Mitchell P (1999). Estimates of animal and plant protein intake in US adults: results from the Third National Health and Nutrition Examination Survey, 1988-1991. J Am Diet Assoc 99, 813–820.

    Article  CAS  Google Scholar 

  • Spiegelman D (2004). Commentary: correlated errors and energy adjustment-where are the data? Int J Epidemiol 33, 1387–1388.

    Article  Google Scholar 

  • WCRF/AICR (2007). Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective. World Cancer Research Fund/American Institute for Cancer Research: Washington DC.

  • Welch AA, Lund E, Amiano P, Dorronsoro M, Brustad M, Kumle M et al. (2002). Variability of fish consumption within the 10 European countries participating in the European Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 5 (Suppl), S1273–S1285.

    Article  Google Scholar 

  • Whelton SP, He J, Whelton PK, Muntner P (2004). Meta-analysis of observational studies on fish intake and coronary heart disease. Am J Cardiol 93, 1119–1123.

    Article  Google Scholar 

  • WHO (2000). Nutrition for Health and Development: A Global Agenda for Combating Malnutrition. Progress ReportWHO/NHD/00.6 World Health Organization: Geneva.

  • WHO/FAO Expert Consultation (2003). Diet, Nutrition and the Prevention of Chronic Diseases WHO Tech Rep Series 916. World Health Organization: Geneva.

  • WHO/FAO/UNU Expert Consultation (2008). Protein and Amino Acid Requirements in Human Nutrition WHO Technical Report 935 World Health Organization: Geneva.

  • Willett WC (1998). Nutritional Epidemiology 2nd edn. Oxford University Press: New York.

    Book  Google Scholar 

Download references

Acknowledgements

This study was carried out with the financial support of the European Commission: Public Health and Consumer Protection Directorate 1993–2004; Research Directorate-General 2005, Ligue contre le Cancer (France); Société 3M (France); Mutuelle Générale de l’Education Nationale; Institut National de la Santé et de la Recherche Médicale (INSERM); Institut Gustave Roussy; German Cancer Aid; German Cancer Research Center; German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund (FIS) of the Spanish Ministry of Health; Spanish Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra and the Catalan Institute of Oncology; and ISCIII RETIC (RD06/0020), Spain; Cancer Research UK; Medical Research Council, UK; the Stroke Association, UK; British Heart Foundation; Department of Health, UK; Food Standards Agency, UK; the Wellcome Trust, UK; Greek Ministry of Health; Hellenic Health Foundation; Italian Association for Research on Cancer; Italian National Research Council, Regione Sicilia (Sicilian government); Associazione Iblea per la Ricerca Epidemiologica—ONLUS (Hyblean association for epidemiological research, NPO); Dutch Ministry of Health, Welfare and Sport; Dutch Prevention Funds; LK Research Funds; Dutch ZON (Zorg Onderzoek Nederland); World Cancer Research Fund (WCRF); Swedish Cancer Society; Swedish Research Council; Regional Government of Skane and the County Council of Vasterbotten, Sweden; Norwegian Cancer Society; the Norwegian Research Council and the Norwegian Foundation for Health and Rehabilitation. We thank Sarah Somerville, Nicole Suty and Karima Abdedayem for assistance with editing, and Kimberley Bouckaert and Heinz Freisling for technical assistance.

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Correspondence to J Halkjær.

Additional information

Guarantor: Dr J Halkjær.

Contributors: JH carried out the statistical analysis, prepared the tables and figures and wrote the paper, taking into account comments from all co-authors. NS was the overall coordinator of this project and of the EPIC nutritional databases (ENDB) project. JH, AO, LJB and GD were members of the ‘protein working group’ and gave input on statistical analyses, drafting of the manuscript and interpretation of results. The other co-authors were local EPIC collaborators involved in the collection of data, and in documenting, compiling and evaluating the subset of their national nutrient databases used in the ENDB. ER is the overall coordinator of the EPIC study. All co-authors provided comments and suggestions on the manuscript and approved the final version.

Appendix

Appendix

Tables A1, A2, A3 and A4

Table a1 Fully adjusteda mean daily intake of total protein by centre ordered from south to north, gender and age group
Table a2 Fully adjusteda mean daily intake of animal protein by centre ordered from south to north, gender and age group
Table a3 Fully adjusteda mean daily intake of plant protein by centre ordered from south to north, gender and age group
Table a4 Fully adjusteda mean daily intake of protein of unknown source by centre ordered from south to north, gender and age group

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Halkjær, J., Olsen, A., Bjerregaard, L. et al. Intake of total, animal and plant proteins, and their food sources in 10 countries in the European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr 63 (Suppl 4), S16–S36 (2009). https://doi.org/10.1038/ejcn.2009.73

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