Evaluation of food and nutrient intake assessment using concentration biomarkers in European adolescents from the Healthy Lifestyle in Europe by Nutrition in Adolescence study

British Journal of Nutrition

Volumn 109, Issue 4, 2013, Pages 736-747

  Vandevijvere, S ^a   Geelen, A ^b   Gonzalez Gross, M ^c,d   Van'T Veer, P ^b   Dallongeville, J ^e   Mouratidou, T ^f   Dekkers, A ^g   Bornhorst C ^h   Breidenassel, C ^c,d   Crispim, S P ⁱ   Moreno, L A ^f   Cuenca Garcia M ^j   Vyncke, K ^k   Beghin, L ^e   Grammatikaki, E ^l   De Henauw, S ^k   Catasta, G ^m   Hallstrom L ^n,o   Sjostrom M ⁿ   Warnberg J ⁿ   Esperanza, L ^p   Slimani, N ⁱ   Manios, Y ^l   Molnar D ^q   Gilbert, C C ⁿ   Kafatos, A ⁿ   Stehle, P ^c   Huybrechts, I ^i,k   more..

^a SCIENTIFIC INSTITUTE OF PUBLIC HEALTH   (Belgium)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c UNIVERSITY OF BONN   (Germany)

^d UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^e UNIV LILLE   (France)

^f UNIVERSITY OF ZARAGOZA   (Spain)

^g NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

^h LEIBNIZ INSTITUTE FOR PREVENTION RESEARCH AND EPIDEMIOLOGY BIPS   (Germany)

ⁱ INTERNATIONAL AGENCY FOR RESEARCH ON CANCER   (France)

^j Faculty of Medicine   (Spain)

^k GHENT UNIVERSITY   (Belgium)

^l HAROKOPIO UNIVERSITY   (Greece)

^m ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

ⁿ KAROLINSKA INSTITUTE   (Sweden)

^o MÄLARDALEN UNIVERSITY   (Sweden)

^p INSTITUTE OF FOOD SCIENCE   (Spain)

^q UNIVERSITY OF PÉCS   (Hungary)

more..

Author keywords

Biomarkers; European adolescents; Food intake; Nutrient intake; Triads method; Validation studies

Indexed keywords

ASCORBIC ACID; BETA CAROTENE; BIOLOGICAL MARKER; COBALAMIN; CYANOCOBALAMIN; DOCOSAHEXAENOIC ACID; FOLIC ACID; ICOSAPENTAENOIC ACID; TRANSCOBALAMIN;

ADOLESCENT; ARTICLE; CORRELATION ANALYSIS; DIETARY INTAKE; EUROPE; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; FOOD INTAKE; FRUIT; HUMAN; MALE; NORMAL HUMAN; NUTRITIONAL ASSESSMENT; SEX DIFFERENCE; VEGETABLE; VITAMIN BLOOD LEVEL;

ADOLESCENT; ADOLESCENT BEHAVIOR; ANIMALS; ASCORBIC ACID; BETA CAROTENE; BIOLOGICAL MARKERS; CROSS-SECTIONAL STUDIES; DIET; EUROPE; FEMALE; FISHES; FOLIC ACID; FOOD HABITS; HUMANS; LIFE STYLE; MALE; NUTRITION ASSESSMENT; NUTRITIONAL STATUS; QUESTIONNAIRES; SOFTWARE;

EID: 84885777424     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114512002012     Document Type: Article

References (49)

1. Tarasuk VS & Brooker AS (1997) Interpreting epidemiologic studies of diet-disease relationships. J Nutr 127, 1847-1852. (Pubitemid 27386415)
2. Beaton GH, Milner J, Corey P, et al. (1979) Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr 32, 2546-2559. (Pubitemid 10177104)
3. Beaton GH, Burema J & Ritenbaugh C (1997) Errors in the interpretation of dietary assessments. Am J Clin Nutr 65, 1100S-1107S. (Pubitemid 27152570)
4. Freudenheim JL & Marshall JR (1988) The problem of profound mismeasurement and the power of epidemiological studies of diet and cancer. Nutr Cancer 11, 243-250.
5. Willet W (1990) Nutritional Epidemiology. Oxford: Oxford University Press.
6. Gibson RS (2005) Principles of Nutritional Assessment, 2nd ed. New York, NY: Oxford University Press.
7. Crispim SP, Geelen A, Souverein OW, et al. (2011) Biomarker-based evaluation of two 24-h recalls for comparing usual fish, fruit and vegetable intakes across European centers in the EFCOVAL Study. Eur J Clin Nutr 65, Suppl. 1, S38-S47.
8. Crispim SP, de Vries JH, Geelen A, et al. (2011) Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres-results from the European Food Consumption Validation (EFCOVAL) study. Br J Nutr 105, 447-458.
9. Kersting M, Sichert-Hellert W, Vereecken CA, et al. (2008) Food and nutrient intake, nutritional knowledge and dietrelated attitudes in European adolescents. Int J Obes (Lond) 32, Suppl. 5, S35-S41.
10. Potischman N (2003) Biologic and methodologic issues for nutritional biomarkers. J Nutr 133, Suppl. 3, 875S-880S. (Pubitemid 36266680)
11. Livingstone MB (1995) Assessment of food intakes: are we measuring what people eat? Br J Biomed Sci 52, 58-67.
12. Livingstone MB & Black AE (2003) Markers of the validity of reported energy intake. J Nutr 133, Suppl. 3, 895S-920S. (Pubitemid 36262798)
13. Lissner L (2002) Measuring food intake in studies of obesity. Public Health Nutr 5, 889-892.
14. Kaaks RJ (1997) Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues. Am J Clin Nutr 65, 1232S-1239S. (Pubitemid 27152593)
15. Freedman LS, Kipnis V, Schatzkin A, et al. (2010) Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies? Epidemiol Perspect Innov 7, 2.
16. Macdonald HM, Hardcastle AC, Duthie GG, et al. (2009) Changes in vitamin biomarkers during a 2-year intervention trial involving increased fruit and vegetable consumption by free-living volunteers. Br J Nutr 102, 1477-1486.
17. Polsinelli ML, Rock CL, Henderson SA, et al. (1998) Plasma carotenoids as biomarkers of fruit and vegetable servings in women. J Am Diet Assoc 98, 194-196. (Pubitemid 28078257)
18. Yeum KJ, Booth SL, Sadowski JA, et al. (1996) Human plasma carotenoid response to the ingestion of controlled diets high in fruits and vegetables. Am J Clin Nutr 64, 594-602. (Pubitemid 26334239)
19. Drewnowski A, Rock CL, Henderson SA, et al. (1997) Serum beta-carotene and vitamin C as biomarkers of vegetable and fruit intakes in a community-based sample of French adults. Am J Clin Nutr 65, 1796-1802. (Pubitemid 27240696)
20. Ness AR, Khaw KT, Bingham S, et al. (1999) Plasma vitamin C: what does it measure? Public Health Nutr 2, 51-54. (Pubitemid 29166948)
21. Katan MB, Deslypere JP, van Birgelen AP, et al. (1997) Kinetics of the incorporation of dietary fatty acids into serum cholesteryl esters, erythrocyte membranes, and adipose tissue: an 18-month controlled study. J Lipid Res 38, 2012-2022. (Pubitemid 27468010)
22. Zock PL, Mensink RP, Harryvan J, et al. (1997) Fatty acids in serum cholesteryl esters as quantitative biomarkers of dietary intake in humans. Am J Epidemiol 145, 1114-1122. (Pubitemid 27272941)
23. Leaf DA, Connor WE, Barstad L, et al. (1995) Incorporation of dietary n-3 fatty acids into the fatty acids of human adipose tissue and plasma lipid classes. Am J Clin Nutr 62, 68-73.
24. Bates CJ, Rutishauser IH, Black AE, et al. (1979) Long-term vitamin status and dietary intake of healthy elderly subjects. Vitamin C. Br J Nutr 42, 43-56. (Pubitemid 9252006)
25. Jacques PF, Sulsky SI, Sadowski JA, et al. (1993) Comparison of micronutrient intake measured by a dietary questionnaire and biochemical indicators of micronutrient status. Am J Clin Nutr 57, 182-189. (Pubitemid 23039889)
26. Wu A, Chanarin I, Slavin G, et al. (1975) Folate deficiency in the alcoholic-its relationship to clinical and haematological abnormalities, liver disease and folate stores. Br J Haematol 29, 469-478.
27. Gregory J, Foster K, Tyler H, et al. (1990) The Dietary and Nutritional Survey of British Adults. London: Her Majesty's Stationery Office.
28. Andersen LF, Solvoll K & Drevon CA (1996) Very-long-chain n-3 fatty acids as biomarkers for intake of fish and n-3 fatty acid concentrates. Am J Clin Nutr 64, 305-311. (Pubitemid 26287317)
29. Kobayashi M, Sasaki S, Kawabata T, et al. (2001) Single measurement of serum phospholipid fatty acid as a biomarker of specific fatty acid intake in middle-aged Japanese men. Eur J Clin Nutr 55, 643-650. (Pubitemid 32776487)
30. Moreno LA, Gonzalez-Gross M, Kersting M, et al. (2008) Assessing, understanding and modifying nutritional status, eating habits and physical activity in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr 11, 288-299. (Pubitemid 351214500)
31. Moreno LA, De HS, Gonzalez-Gross M, et al. (2008) Design and implementation of the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study. Int J Obes (Lond) 32, Suppl. 5, S4-11.
32. Beghin L, Castera M, Manios Y, et al. (2008) Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA Cross-Sectional Study. Int J Obes (Lond) 32, Suppl. 5, S12-S18.
33. Vereecken CA, Covents M, Matthys C, et al. (2005) Young adolescents' nutrition assessment on computer (YANA-C). Eur J Clin Nutr 59, 658-667. (Pubitemid 40716132)
34. Vereecken C, Dohogne S, Covents M, et al. (2010) How accurate are adolescents in portion-size estimation using the computer tool Young Adolescents' Nutrition Assessment on Computer (YANA-C)? Br J Nutr 103, 1844-1850.
35. Dehne LI, Klemm C, Henseler G, et al. (1999) The German Food Code and Nutrient Data Base (BLS II.2). Eur J Epidemiol 15, 355-359. (Pubitemid 29287751)
36. Currie C (1998) Health Behaviour in School-aged Children: a WHO Cross-national Survey (HBSC). Research Protocol for the 1997/1998 Survey. Edinburgh: Research Unit in Health and Behavioural Change, University of Edinburgh.
37. Gonzalez-Gross M, Breidenassel C, Gomez-Martinez S, et al. (2008) Sampling and processing of fresh blood samples within a European multicenter nutritional study: evaluation of biomarker stability during transport and storage. Int J Obes (Lond) 32, Suppl. 5, S66-S75.
38. Yokota RT, Miyazaki ES & Ito MK (2010) Applying the triads method in the validation of dietary intake using biomarkers. Cad Saude Publica 26, 2027-2037.
39. Ocke MC & Kaaks RJ (1997) Biochemical markers as additional measurements in dietary validity studies: application of the method of triads with examples from the European Prospective Investigation into Cancer and Nutrition. Am J Clin Nutr 65, 1240S-1245S. (Pubitemid 27152594)
40. Kaaks R & Ferrari P (2006) Dietary intake assessments in epidemiology: can we know what we are measuring? Ann Epidemiol 16, 377-380.
41. Haubrock J, Nothlings U, Volatier JL, et al. (2011) Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. J Nutr 141, 914-920.
42. Goldberg GR, Black AE, Jebb SA, et al. (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 45, 569-581.
43. Black AE (2000) Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord 24, 1119-1130.
44. Henriquez-Sanchez P, Sanchez-Villegas A, Doreste-Alonso J, et al. (2009) Dietary assessment methods for micronutrient intake: a systematic review on vitamins. Br J Nutr 102, Suppl. 1, S10-S37.
45. Kabagambe EK, Baylin A, Allan DA, et al. (2001) Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long-term dietary intake. Am J Epidemiol 154, 1126-1135. (Pubitemid 33140636)
46. Potischman N & Freudenheim JL (2003) Biomarkers of nutritional exposure and nutritional status: an overview. J Nutr 133, Suppl. 3, 873S-874S. (Pubitemid 36262795)
47. Kaaks R, Ferrari P, Ciampi A, et al. (2002) Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr 5, 969-976.
48. Serra-Majem L, Frost AL, Henrique-Sanchez P, et al. (2009) Evaluating the quality of dietary intake validation studies. Br J Nutr 102, Suppl. 1, S3-S9.
49. Livingstone MB & Robson PJ (2000) Measurement of dietary intake in children. Proc Nutr Soc 59, 279-293. (Pubitemid 30604749)