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

被引：31

作者：

Vandevijvere, S. ^{[1
]}

Geelen, A. ^{[2
]}

Gonzalez-Gross, M. ^{[3
,4
]}

van't Veer, P. ^{[2
]}

Dallongeville, J. ^{[5
]}

Mouratidou, T. ^{[6
]}

Dekkers, A. ^{[7
]}

Bornhorst, C. ^{[8
]}

Breidenassel, C. ^{[3
,4
]}

Crispim, S. P. ^{[9
]}

Moreno, L. A. ^{[6
]}

Cuenca-Garcia, M. ^{[10
]}

Vyncke, K. ^{[11
]}

Beghin, L. ^{[12
,13
]}

Grammatikaki, E. ^{[14
]}

De Henauw, S. ^{[11
]}

Catasta, G. ^{[15
]}

Hallstrom, L. ^{[16
,17
]}

Sjostrom, M. ^{[16
]}

Warnberg, J. ^{[16
]}

Esperanza, L. ^{[18
]}

Slimani, N.

Manios, Y. ^{[14
]}

Molnar, D. ^{[19
]}

Gilbert, C. C. ^{[16
]}

Kafatos, A. ^{[16
]}

Stehle, P. ^{[3
]}

Huybrechts, I. ^{[9
,11
]}

机构：

[1] Sci Inst Publ Hlth, B-1050 Brussels, Belgium

[2] Wageningen Univ, Div Human Nutr, NL-6700 EV Wageningen, Netherlands

[3] Univ Bonn, Inst Ernahrungs & Lebensmittelwissenschaften Huma, Bonn, Germany

[4] Univ Politecn Madrid, ImFINE Res Grp, Dept Hlth & Human Performance, Fac Ciencias Actividad Fis & Deporte, Madrid, Spain

[5] Univ Lille Nord France, INSERM U744, Inst Pasteur Lille, F-59000 Lille, France

[6] Univ Zaragoza, GENUD Growth Exercise Nutr & Dev Res Grp, Sch Hlth Sci EUCS, E-50009 Zaragoza, Spain

[7] RIVM, Dutch Natl Inst Publ Hlth & Environm, NL-3720 BA Bilthoven, Netherlands

[8] Bremen Inst Prevent Res & Social Med, Div Biometry & Data Management, Bremen, Germany

[9] IARC, Dietary Exposure Assessment Grp, Lyon, France

[10] Fac Med, Dept Med Physiol, Granada 18012, Spain

[11] Univ Ghent, Fac Med & Hlth Sci, Dept Publ Hlth, B-9000 Ghent, Belgium

[12] Univ Nord France, CIC 9301 Inserm CH&U, Paris, France

[13] Univ Nord France, Inserm U995, IFR114, IMPRT,Ctr Hosp & Univ Lille, Lille, France

[14] Harokopio Univ, Dept Nutr & Dietet, Athens 17671, Greece

[15] INRAN Natl Res Inst Food & Nutr, I-00178 Rome, Italy

[16] Karolinska Inst, Unit Prevent Nutr, S-14157 Huddinge, Sweden

[17] Malardalens Univ, Sch Hlth Care & Social Welf, Vasteras, Sweden

[18] Spanish Natl Res Council, Inst Food Sci Technol & Nutr ICTAN, Dept Metab & Nutr, Immunonutr Res Grp, Madrid, Spain

[19] Univ Pecs, Fac Med, Dept Pediat, H-7623 Pecs, Hungary

来源：

BRITISH JOURNAL OF NUTRITION | 2013年 / 109卷 / 04期

关键词：

European adolescents; Food intake; Nutrient intake; Biomarkers; Validation studies; Triads method; SERUM CHOLESTERYL ESTERS; N-3; FATTY-ACIDS; DIETARY-INTAKE; ENERGY-INTAKE; ADDITIONAL MEASUREMENTS; MICRONUTRIENT INTAKE; BIOCHEMICAL MARKERS; ADIPOSE-TISSUE; VITAMIN-C; VALIDATION;

D O I：

10.1017/S0007114512002012

中图分类号：

R15 [营养卫生、食品卫生]; TS201 [基础科学];

学科分类号：

100403 ;

摘要：

Accurate food and nutrient intake assessment is essential for investigating diet-disease relationships. In the present study, food and nutrient intake assessment among European adolescents using 24 h recalls (mean of two recalls) and a FFQ (separately and the combination of both) were evaluated using concentration biomarkers. Biomarkers included were vitamin C, beta-carotene, DHA + EPA, vitamin B-12 (cobalamin and holo-transcobalamin) and folate (erythrocyte folate and plasma folate). For the evaluation of the food intake assessment 390 adolescents were included, while 697 were included for the nutrient intake assessment evaluation. Spearman rank and Pearson correlations, and validity coefficients, which are correlations between intake estimated and habitual true intake, were calculated. Correlations were higher between frequency of food consumption (from the FFQ) and concentration biomarkers than between mean food intake (from the recalls) and concentration biomarkers, especially for DHA + EPA (r 0.35 v. r 0.27). Most correlations were higher among girls than boys. For boys, the highest validity coefficients were found for frequency of fruit consumption (0.88) and for DHA + EPA biomarker (0.71). In girls, the highest validity coefficients were found for fruit consumption frequency (0.76), vegetable consumption frequency (0.74), mean fruit intake (0.90) and DHA + EPA biomarker (0.69). After exclusion of underreporters, correlations slightly improved. Correlations between usual food intakes, adjusted for food consumption frequency, and concentration biomarkers were higher than correlations between mean food intakes and concentration biomarkers. In conclusion, two non-consecutive 24 h recalls in combination with a FFQ seem to be appropriate to rank subjects according to their usual food intake.

引用

页码：736 / 747

页数：12

共 49 条

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