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Diabetologie und Stoffwechsel 2010; 5(5): 301-308
DOI: 10.1055/s-0030-1262594
Übersicht

© Georg Thieme Verlag Stuttgart ˙ New York

Ernährungserhebungsmethoden in der Ernährungsepidemiologie

Dietary Assessment Methods in Nutritional EpidemiologyA. Frisch1 , M. Toeller2 , D. Müller-Wieland1
  • 1Institut für Diabetologische Versorgungsforschung, Abteilung der 1. Inneren Medizin, Asklepios Klinik St. Georg, Hamburg
  • 2Klinik für Endokrinologie, Diabetologie und Rheumatologie, Universitätsklinikum Heinrich-Heine-Universität, Düsseldorf
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Publication History

Publication Date:
27 October 2010 (online)

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Zusammenfassung

Die Erfassung der Nahrungsaufnahme hat auf Grund der steigenden Prävalenz ernährungsabhängiger Krankheiten zunehmend an Bedeutung gewonnen. In der Ernährungsepidemiologie wird die Nahrungsaufnahme unterschiedlicher Gruppen erfasst, um Fehlverhalten in der Ernährung zu erkennen und Zusammenhänge mit Risikoindikatoren und dem Auftreten von Volkskrankheiten zu untersuchen. Häufig angewandte Erhebungsinstrumente in epidemiologischen Studien sind relativ arbeitsaufwendige Ernährungsprotokolle sowie weniger zeitaufwendige 24 Stunden Erinnerungsprotokolle oder Verzehrshäufigkeiten-Fragebogen. Die meisten Methoden bedienen sich des Erinnerungsvermögens der Probanden und können die übliche Nahrungsaufnahme über einen bestimmten Zeitraum abbilden. Die zeitliche Belastung der Probanden durch die angewandte Methode, mögliches Fehlschätzen von Nahrungsportionen, Überschätzen „gesunder“ und Unterschätzen „ungesunder“ Lebensmittel sowie die Bereitschaft zur Kooperation bestimmen die Genauigkeit der Ergebnisse. Gut geschultes Interviewpersonal und geübte Fachkräfte zum Kodieren der Lebensmittel können zur Erhöhung der Validität der Aussagen zur Nahrungsaufnahme beitragen. Entscheidend ist die Auswahl des am besten geeigneten Erfassungsinstruments für die jeweilige Zielgruppe und die Zielgrößen. 

Abstract

With rising prevalence of nutrition related dis­eases nutritional assessment is of increasing ­importance. Nutrition epidemiology determines nutritional intakes of different groups to reveal nutritional deficiencies and to analyze their associations with risk indicators and the development of widespread disease. Nutritional assessment methods frequently employed in epidemiological studies are food records which mean a relatively high workload as well as 24-hour recalls and food frequency questionnaires which are less time-consuming. Most of them make use of the mem­ory of the study population and are able to describe usual food intake over a certain period of time. The burden which the nutrition assessment method causes to the individual, misreport­ing of food portions, over-reporting of “good” foods and underreporting of “bad” foods as well as the readiness to cooperate, all contribute to the accuracy of the findings. Well trained personnel for nutritional interviewing and food coding are able to induce an increase in validity of the nutrition results. It is essential to select a nutri­tion assessment instrument which best qualifies to investigate the target parameters in the target group. 

Schlüsselwörter

Ernährungserhebungsmethoden - Ernährungsprotokolle - Ernährungsgeschichte - Verzehrshäufigkeiten-Fragebogen

Key words

methods of nutritional assessment - dietary records - dietary history - food frequency questionnaire

Literatur

  • 1 Barnard J A, Tapsell L C, Davies P S et al. Relationship of high energy expenditure and variation in dietary intake with reporting accuracy on 7 day food records and diet histories in a group of healthy adult vol­unteers.  Eur J Clin Nutr. 2002;  56 358-367
    CrossrefGoogle Scholar
  • 2 Bedard D, Shatenstein B, Nadon S. Underreporting of energy intake from a self-administered food-frequency questionnaire completed by adults in Montreal.  Public Health Nutrition. 2004;  7 675-681
    Google Scholar
  • 3 Bingham S A, Gill C, Welch A et al. Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records.  Br J Nutr. 1994;  72 619-643
    CrossrefGoogle Scholar
  • 4 Bingham S A. Dietary assessments in the European prospective study of diet and cancer [EPIC].  Eur J Cancer Prev. 1997;  6 118-124
    Google Scholar
  • 5 Bingham S A, Welch A A, McTaggart A et al. Nutritional methods in the European Prospective Investigation of Cancer in Norfolk.  Public Health Nutrition. 2001;  4 847-858
    CrossrefGoogle Scholar
  • 6 Braddon F E, Wadsworth M E, Davies J M et al. Social and regional differences in food and alcohol consumption and their measurement in a national birth cohort.  J Epidemiol Commun Health. 1988;  42 341-349
    CrossrefGoogle Scholar
  • 7 Briefel R R, Sempos C T, McDowell M A et al. Dietary methods research in the third National Health and Nutrition Examination Survey: under­reporting of energy intake.  Am J Clin Nutr. 1997;  65 (4 Suppl) 1203-1209
    Google Scholar
  • 8 Briefel R R, McDowell M A, Alaimo K et al. Total energy intake of the US population: the third National Health and Nutrition Examination Survey, 1988–1991.  Am J Clin Nutr. 1995;  62 (5 Suppl) 1072-1080
    Google Scholar
  • 9 Brunner E, Stallone D, Juneja M et al. Dietary assessment in Whitehall II: comparison of 7 d diet diary and food-frequency questionnaire and val­idity against biomarkers.  Br J Nutr. 2001;  86 405-414
    CrossrefGoogle Scholar
  • 10 Cade J, Thompson R, Burley V et al. Development, validation and utilisation of food-frequency questionnaires – a review.  Public Health Nutrition. 2002;  5 567-587
    CrossrefGoogle Scholar
  • 11 Carter S J, Roberts M B, Salter J et al. Relationship between Mediterranean Diet Score and atherothrombotic risk: Findings from the Third National Health and Nutrition Examination Survey [NHANES III], 1988–1994.  Atherosclerosis. 2010;  210 630-636
    CrossrefGoogle Scholar
  • 12 Crozier S R, Inskip H M, Barker M E SWS Study Group et al. Development of a 20-item food frequency questionnaire to assess a ‘prudent’ dietary pattern among young women in Southampton.  Eur J Clin Nutr. 2010;  64 99-104
    CrossrefGoogle Scholar
  • 13 CSFII / DHKS .[1994–96]. The Continuing Survey of Food Intakes by Individuals [CSFII] and the Diet and Health Knowledge Survey [DHKS], 1994–96. www.barc.usda.gov/bhnrc/foodsurvey/
    Google Scholar
  • 14 Darmon N, Drewnowski A. Does social class predict diet quality?.  Am J Clin Nutr. 2008;  87 1107-1117
    Google Scholar
  • 15 Drewnowski A, Henderson S A, Shre A B et al. Diet quality and diet diversity in France: Implications for the French Paradox.  J Am Diet Assoc. 1996;  96 663-669
    CrossrefGoogle Scholar
  • 16 Fung T T, Chiuve S E, Mc Cullough M L et al. Adherence to a DASH-Style Diet and Risk of Coronary Heart Disease and Stroke in Women.  Arch Intern Med. 2008;  168 713-720
    CrossrefGoogle Scholar
  • 17 Gibson R S. Principles of Nutritional Assessment. Second Edition. New York, Oxford: Oxford University Press; 2005: 27–64
    Google Scholar
  • 18 Gonzalez M A, Fernandez-Jarne E, Serrano-Martinez M et al. Mediterranean diet and reduction in the risk of a acute myocardial infartion: an operational healthy dietary score.  Eur J Nutr. 2002;  41 153-160
    CrossrefGoogle Scholar
  • 19 Hatloy A, Torheim L E, Oshaug A. Food variety – A good indicator of nutritional adequacy of the diet? A case study from an urban area in Mali, West Africa.  Eur J Clin Nutr. 1998;  52 891-898
    CrossrefGoogle Scholar
  • 20 Heidemann C, Schulze M B, Franco O H et al. Dietary Patterns and Risk of Mortality From Cardiovascular Disease, Cancer, and all Causes in a Prospective Cohort of Women.  Circulation. 2008;  118 230-237
    CrossrefPubMedGoogle Scholar
  • 21 Horner N K, Patterson R E, Neuhouser M L et al. Participant characteristics associated with errors in self-reported energy intake from the Women's Health Initiative food-frequency questionnaire.  Am J Clin Nutr. 2002;  76 766-773
    Google Scholar
  • 22 Horn-Ross P L, Lee V S, Collins C N et al. Dietary assessment in the California Teachers Study: reproducibility and validity.  Cancer Causes Control. 2008;  19 595-603
    CrossrefGoogle Scholar
  • 23 Hu F B, Rimm E, Smith-Warner S A et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire.  Am J Clin Nutr. 1999;  69 243-249
    Google Scholar
  • 24 Hu F B, Manson J E, Stampfer M J et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.  N Engl J Med. 2001;  345 790-797
    CrossrefPubMedGoogle Scholar
  • 25 Huijbregts P, Feskens E, Raasnen L et al. Dietary pattern and 20-y mortality in elderly men in Finland, Italy, and the Netherlands: Longitudinal cohort study.  BMJ. 1997;  315 13-17
    Google Scholar
  • 26 Johansson G, Wikman A, Ahrén A M et al. Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living.  Public Health Nutrition. 2001;  4 919-927
    Google Scholar
  • 27 Johansson L, Solvoll K, Bjørneboe G E et al. Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample.  Am J Clin Nutr. 1998;  68 266-274
    Google Scholar
  • 28 Kant A K. Dietary Patterns and Health Outcomes.  J Am Diet Ass. 2004;  104 615-635
    CrossrefGoogle Scholar
  • 29 Kant A K. Nature of dietary reporting by adults in the third National Health and Nutrition Examination Survey, 1988–1994.  J Am Coll Nutr. 2002;  21 315-327
    Google Scholar
  • 30 Kant A K, Graubard B I. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and Nutrition Examination Survey (NHANES) 1971–1975 to NHANES 1999–2002.  Public Health Nutrition. 2007;  10 158-167
    Google Scholar
  • 31 Karamanos B, Thanopoulou A, Angelico F et al. Nutritional habits in the Mediterranean Basin. The macronutrient composition of diet and its relation with the traditional Mediterranean diet. Multi-centre study of the Mediterranean Group for the Study of Diabetes [MGSD].  Eur J Clin Nutr. 2002;  56 983-991
    CrossrefGoogle Scholar
  • 32 Klesges R C, Eck L H, Ray J W. Who underreports dietary intake in a di­etary recall? Evidence from the Second National Health and Nutrition Examination Survey.  J Consult Clin Psychol. 1995;  63 438-444
    Google Scholar
  • 33 Krems C, Bauch A, Götz A et al. Methoden der Nationalen Verzehrsstudie II.  Ernährungs-Umschau. 2006;  2 44-50
    Google Scholar
  • 34 Livingstone M B, Black A E. Markers of the validity of reported energy intake.  J Nutr. 2003;  133 (Suppl 3) 895-920
    Google Scholar
  • 35 Margetts B M, Pietinen P. European Prospective Investigation into Cancer and Nutrition: validity studies on dietary assessment methods.  Int J Epidemiol. 1997;  26 (Suppl 1) 1-5
    CrossrefGoogle Scholar
  • 36 Mennoti A, Kromhout D, Blackburn H et al. Food intake patterns and the 25-year mortality from coronary heart disease: Cross cultural comparisons in the Seven Countries Study.  Eur J Epidemiol. 1999;  15 507-515
    CrossrefGoogle Scholar
  • 37 Mensink G B, Haftenberger M, Thamm M et al. Validity of DISHES 98, a computerized dietary history interview: energy and macronutrient intake.  Eur J Clin Nutr. 2001;  55 409-417
    CrossrefGoogle Scholar
  • 38 Nelson M, Atkinson M, Darbyshire S. Food photography. I: The perception of food portion size from photographs.  Br J Nutr. 1994;  72 649-663
    CrossrefGoogle Scholar
  • 39 MOH [Ministry of Health] .Food Comes First: Methodologies for the National Nutrition Survey of New Zealand. Ministry of Health Wellington, New Zealand; 1997 http://www.moh.govt.nz/
    Google Scholar
  • 40 Philipp K. Ernährungserhebungsmethoden. In: Widhalm K, Hrsg. Ernährungsmedizin, 3. überarbeitete und erweiterte Auflage, Wien: Verlagshaus der Ärzte; 2009: 288–301
    Google Scholar
  • 41 Pryer J A, Nichols R, Elliott P et al. Dietary patterns among a national random sample of British adults.  J Epidemiol Commun Health. 2001;  55 29-37
    CrossrefGoogle Scholar
  • 42 Pryer J A, Vrijheid M, Nichols R et al. Who are the “low energy reporters” in the dietary and nutritional survey of British adults?.  Int J Epidemiol. 1997;  26 146-154
    CrossrefGoogle Scholar
  • 43 Rimm E B, Giovannucci E L, Stampfer M J et al. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals.  Am J Epidemiol. 1992;  135 1114-1126
    Google Scholar
  • 44 Rohrmann S, Klein G. Development and validation of a short food list to assess the intake of total fat, saturated, mono-unsaturated, polyunsaturated fatty acids and cholesterol.  Eur J Public Health. 2003;  13 262-268
    CrossrefGoogle Scholar
  • 45 Scagliusi F B, Ferriolli E, Pfrimer K et al. Under-reporting of energy intake is more prevalent in a healthy dietary pattern cluster.  Br J Nutr. 2008;  100 1060-1068
    CrossrefGoogle Scholar
  • 46 Schneider R, Heseker H. Erfassung von Ernährungsgewohnheiten. In: Schauder P, Ollenschläger G, Hrsg. Ernährungsmedizin Prävention und Therapie, 3. überarbeitete und erweiterte Auflage. München, Jena: Urban und Fischer; 2006: 498–505
    Google Scholar
  • 47 Severo M, Lopes C, Lucas R et al. Development of a tool for the assessment of calcium and vitamin D intakes in clinical settings.  Osteoporosis Int. 2009;  20 231-237
    Google Scholar
  • 48 Slimani N, Deharveng G, Charrondière R U et al. Structure of the standardized computerized 24-hour diet recall interview used as reference method in the 22 centres participating in the EPIC project.  Comput Meth Programmes Biomed. 1999;  53 251-266
    Google Scholar
  • 49 Slimani N, Ferrari P, Ocké M et al. 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. 2000;  54 900-917
    CrossrefGoogle Scholar
  • 50 Stallone D D, Brunner E J, Bingham S A et al. Dietary assessment in Whitehall II: the influence of reporting bias on apparent socioeconomic variation in nutrient intakes.  Eur J Clin Nutr. 1997;  51 815-825
    CrossrefGoogle Scholar
  • 51 Stampfer M J, Hu F B, Manson J E et al. Primary prevention of coronary heart disease in women through diet and lifestyle.  N Engl J Med. 2000;  343 16-22
    CrossrefGoogle Scholar
  • 52 Toeller M, Buyken A, Heitkamp G EURODIAB IDDM Complications Study Group et al., and the. Repeatability of three-day dietary records in the EURODIAB IDDM Complications Study.  Eur J Clin Nutr. 1997;  51 74-80
    CrossrefGoogle Scholar
  • 53 Toeller M, Klischan A, Heitkamp G et al. Nutritional intake of 2 868 IDDM patients from 30 centres in Europe. EURODIAB IDDM Complications Study Group.  Diabetologia. 1996;  39 929-939
    CrossrefGoogle Scholar
  • 54 Tooze J A, Vitolins M Z, Smith S L et al. High levels of low energy reporting on 24-hour recalls and three questionnaires in an elderly low-socio­economic status population.  J Nutr. 2007;  137 1286-1293
    Google Scholar
  • 55 Tsugane S, Fahey M T, Kobayashi M et al. Four food-frequency categories of fruit intake as a predictor of plasma ascorbic acid level in middle-aged Japanese men.  Ann Epidemiol. 1998;  8 378-383
    CrossrefGoogle Scholar
  • 56 Vuckovic N, Ritenbaugh C, Taren D L et al. A qualitative study of participants’ experiences with dietary assessment.  J Am Diet Assoc. 2000;  100 1023-1028
    CrossrefGoogle Scholar
  • 57 Wakai K. A review of food frequency questionnaires developed and validated in Japan.  J Epidemiol. 2009;  19 1-11
    CrossrefGoogle Scholar
  • 58 Wirfalt E, Hedblad B, Gullberg B et al. Food patterns and components of the metabolic syndrome in men and women: A cross-sectional study within the Malmo Diet and Cancer Cohort.  Am J Epidemiol. 2001;  154 1150-1159
    CrossrefGoogle Scholar
  • 59 Woo J, Woo K S, Leung S S et al. The Mediterranean score of dietary habits in Chinese populations in four different geographical areas.  Eur J Clin Nutr. 2001;  55 215-220
    CrossrefGoogle Scholar
  • 60 Yannakoulia M, Panagiotakos D B, Pitsavos C et al. Low energy reporting related to lifestyle, clinical, and psychosocial factors in a randomly selected population sample of Greek adults: the ATTICA Study.  J Am Coll Nutr. 2007;  26 327-333
    Google Scholar

Dr. med. M. Toeller

Klinik für Endokrinologie, Diabetologie und Rheumatologie · Universitätsklinikum Düsseldorf · Heinrich-Heine-Universität

Moorenstr. 5

40225 Düsseldorf

Email: monika.toeller@med.uni-duesseldorf.de

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