Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies

Olga W Souverein; Jeanne H M de Vries; Riitta Freese; Bernhard Watzl; Achim Bub; Edgar R Miller; Jacqueline J M Castenmiller; Wilrike J Pasman; Karin van Het Hof; Mridula Chopra; Anette Karlsen; Lars Ove Dragsted; Renate Winkels; Catherine Itsiopoulos; Laima Brazionis; Kerin O'Dea; Carolien A van Loo-Bouwman; Ton H J Naber; Hilko van der Voet; Hendriek C Boshuizen

doi:10.1017/s0007114515000355

Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies

Olga W Souverein, Jeanne H M de Vries, Riitta Freese, Bernhard Watzl, Achim Bub, Edgar R Miller, Jacqueline J M Castenmiller, Wilrike J Pasman, Karin van Het Hof, Mridula Chopra, Anette Karlsen, Lars Ove Dragsted, Renate Winkels, Catherine Itsiopoulos, Laima Brazionis, Kerin O'Dea, Carolien A van Loo-Bouwman, Ton H J Naber, Hilko van der Voet, Hendriek C Boshuizen

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19 Citationer (Scopus)

Abstract

Fruit and vegetable consumption produces changes in several biomarkers in blood. The present study aimed to examine the dose-response curve between fruit and vegetable consumption and carotenoid (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin), folate and vitamin C concentrations. Furthermore, a prediction model of fruit and vegetable intake based on these biomarkers and subject characteristics (i.e. age, sex, BMI and smoking status) was established. Data from twelve diet-controlled intervention studies were obtained to develop a prediction model for fruit and vegetable intake (including and excluding fruit and vegetable juices). The study population in the present individual participant data meta-analysis consisted of 526 men and women. Carotenoid, folate and vitamin C concentrations showed a positive relationship with fruit and vegetable intake. Measures of performance for the prediction model were calculated using cross-validation. For the prediction model of fruit, vegetable and juice intake, the root mean squared error (RMSE) was 258·0 g, the correlation between observed and predicted intake was 0·78 and the mean difference between observed and predicted intake was - 1·7 g (limits of agreement: - 466·3, 462·8 g). For the prediction of fruit and vegetable intake (excluding juices), the RMSE was 201·1 g, the correlation was 0·65 and the mean bias was 2·4 g (limits of agreement: - 368·2, 373·0 g). The prediction models which include the biomarkers and subject characteristics may be used to estimate average intake at the group level and to investigate the ranking of individuals with regard to their intake of fruit and vegetables when validating questionnaires that measure intake.

Originalsprog	Engelsk
Tidsskrift	British Journal of Nutrition
Vol/bind	113
Udgave nummer	09
Sider (fra-til)	1396-1409
Antal sider	14
ISSN	0007-1145
DOI	https://doi.org/10.1017/s0007114515000355
Status	Udgivet - 14 maj 2015

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10.1017/s0007114515000355

div-class-title-prediction-of-fruit-and-vegetable-intake-from-biomarkers-using-individual-participant-data-of-diet-controlled-intervention-studies-div.pdfForlagets udgivne version, 755 KB

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Souverein, O. W., de Vries, J. H. M., Freese, R., Watzl, B., Bub, A., Miller, E. R., Castenmiller, J. J. M., Pasman, W. J., van Het Hof, K., Chopra, M., Karlsen, A., Dragsted, L. O., Winkels, R., Itsiopoulos, C., Brazionis, L., O'Dea, K., van Loo-Bouwman, C. A., Naber, T. H. J., van der Voet, H., & Boshuizen, H. C. (2015). Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies. British Journal of Nutrition, 113(09), 1396-1409. https://doi.org/10.1017/s0007114515000355

Souverein, OW, de Vries, JHM, Freese, R, Watzl, B, Bub, A, Miller, ER, Castenmiller, JJM, Pasman, WJ, van Het Hof, K, Chopra, M, Karlsen, A, Dragsted, LO, Winkels, R, Itsiopoulos, C, Brazionis, L, O'Dea, K, van Loo-Bouwman, CA, Naber, THJ, van der Voet, H & Boshuizen, HC 2015, 'Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies', British Journal of Nutrition, bind 113, nr. 09, s. 1396-1409. https://doi.org/10.1017/s0007114515000355

@article{3b806bc8cabf4d93bcf16de5722029bb,

title = "Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies",

abstract = "Fruit and vegetable consumption produces changes in several biomarkers in blood. The present study aimed to examine the dose-response curve between fruit and vegetable consumption and carotenoid (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin), folate and vitamin C concentrations. Furthermore, a prediction model of fruit and vegetable intake based on these biomarkers and subject characteristics (i.e. age, sex, BMI and smoking status) was established. Data from twelve diet-controlled intervention studies were obtained to develop a prediction model for fruit and vegetable intake (including and excluding fruit and vegetable juices). The study population in the present individual participant data meta-analysis consisted of 526 men and women. Carotenoid, folate and vitamin C concentrations showed a positive relationship with fruit and vegetable intake. Measures of performance for the prediction model were calculated using cross-validation. For the prediction model of fruit, vegetable and juice intake, the root mean squared error (RMSE) was 258·0 g, the correlation between observed and predicted intake was 0·78 and the mean difference between observed and predicted intake was - 1·7 g (limits of agreement: - 466·3, 462·8 g). For the prediction of fruit and vegetable intake (excluding juices), the RMSE was 201·1 g, the correlation was 0·65 and the mean bias was 2·4 g (limits of agreement: - 368·2, 373·0 g). The prediction models which include the biomarkers and subject characteristics may be used to estimate average intake at the group level and to investigate the ranking of individuals with regard to their intake of fruit and vegetables when validating questionnaires that measure intake.",

author = "Souverein, {Olga W} and {de Vries}, {Jeanne H M} and Riitta Freese and Bernhard Watzl and Achim Bub and Miller, {Edgar R} and Castenmiller, {Jacqueline J M} and Pasman, {Wilrike J} and {van Het Hof}, Karin and Mridula Chopra and Anette Karlsen and Dragsted, {Lars Ove} and Renate Winkels and Catherine Itsiopoulos and Laima Brazionis and Kerin O'Dea and {van Loo-Bouwman}, {Carolien A} and Naber, {Ton H J} and {van der Voet}, Hilko and Boshuizen, {Hendriek C}",

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T1 - Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies

AU - Souverein, Olga W

AU - de Vries, Jeanne H M

AU - Freese, Riitta

AU - Watzl, Bernhard

AU - Bub, Achim

AU - Miller, Edgar R

AU - Castenmiller, Jacqueline J M

AU - Pasman, Wilrike J

AU - van Het Hof, Karin

AU - Chopra, Mridula

AU - Karlsen, Anette

AU - Dragsted, Lars Ove

AU - Winkels, Renate

AU - Itsiopoulos, Catherine

AU - Brazionis, Laima

AU - O'Dea, Kerin

AU - van Loo-Bouwman, Carolien A

AU - Naber, Ton H J

AU - van der Voet, Hilko

AU - Boshuizen, Hendriek C

N1 - CURIS 2015 NEXS 129

PY - 2015/5/14

Y1 - 2015/5/14

N2 - Fruit and vegetable consumption produces changes in several biomarkers in blood. The present study aimed to examine the dose-response curve between fruit and vegetable consumption and carotenoid (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin), folate and vitamin C concentrations. Furthermore, a prediction model of fruit and vegetable intake based on these biomarkers and subject characteristics (i.e. age, sex, BMI and smoking status) was established. Data from twelve diet-controlled intervention studies were obtained to develop a prediction model for fruit and vegetable intake (including and excluding fruit and vegetable juices). The study population in the present individual participant data meta-analysis consisted of 526 men and women. Carotenoid, folate and vitamin C concentrations showed a positive relationship with fruit and vegetable intake. Measures of performance for the prediction model were calculated using cross-validation. For the prediction model of fruit, vegetable and juice intake, the root mean squared error (RMSE) was 258·0 g, the correlation between observed and predicted intake was 0·78 and the mean difference between observed and predicted intake was - 1·7 g (limits of agreement: - 466·3, 462·8 g). For the prediction of fruit and vegetable intake (excluding juices), the RMSE was 201·1 g, the correlation was 0·65 and the mean bias was 2·4 g (limits of agreement: - 368·2, 373·0 g). The prediction models which include the biomarkers and subject characteristics may be used to estimate average intake at the group level and to investigate the ranking of individuals with regard to their intake of fruit and vegetables when validating questionnaires that measure intake.

AB - Fruit and vegetable consumption produces changes in several biomarkers in blood. The present study aimed to examine the dose-response curve between fruit and vegetable consumption and carotenoid (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin), folate and vitamin C concentrations. Furthermore, a prediction model of fruit and vegetable intake based on these biomarkers and subject characteristics (i.e. age, sex, BMI and smoking status) was established. Data from twelve diet-controlled intervention studies were obtained to develop a prediction model for fruit and vegetable intake (including and excluding fruit and vegetable juices). The study population in the present individual participant data meta-analysis consisted of 526 men and women. Carotenoid, folate and vitamin C concentrations showed a positive relationship with fruit and vegetable intake. Measures of performance for the prediction model were calculated using cross-validation. For the prediction model of fruit, vegetable and juice intake, the root mean squared error (RMSE) was 258·0 g, the correlation between observed and predicted intake was 0·78 and the mean difference between observed and predicted intake was - 1·7 g (limits of agreement: - 466·3, 462·8 g). For the prediction of fruit and vegetable intake (excluding juices), the RMSE was 201·1 g, the correlation was 0·65 and the mean bias was 2·4 g (limits of agreement: - 368·2, 373·0 g). The prediction models which include the biomarkers and subject characteristics may be used to estimate average intake at the group level and to investigate the ranking of individuals with regard to their intake of fruit and vegetables when validating questionnaires that measure intake.

U2 - 10.1017/s0007114515000355

DO - 10.1017/s0007114515000355

M3 - Journal article

C2 - 25850683

SN - 0007-1145

VL - 113

SP - 1396

EP - 1409

JO - British Journal of Nutrition

JF - British Journal of Nutrition

IS - 09

ER -

Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies

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