TY - JOUR

T1 - Dietary data in the Malmö offspring study–reproducibility, method comparison and validation against objective biomarkers

AU - Hellstrand, Sophie

AU - Ottosson, Filip

AU - Smith, Einar

AU - Brunkwall, Louise

AU - Ramne, Stina

AU - Sonestedt, Emily

AU - Nilsson, Peter M.

AU - Melander, Olle

AU - Orho-Melander, Marju

AU - Ericson, Ulrika

N1 - Funding Information: Funding: This research was funded by European Research Council, grant number ERC-CoG-2014-649021 (for Orho-Melander); the Swedish Research Council, grant number Dnr 2013-08009; the EFSD/Lilly Award 2014, grant number Dnr 2015/338; EXODIAB (Swedish Research Council-Strategic Research Area), grant number Dnr 2009-1039; LUDC-IRC (Swedish Foundation for Strategic Research), grant number Dnr IRC15-006; the Region Skåne, grant number ALFSKANE 441261; the Heart-and Lung Foundation, grant number Dnr 014/379; the Novo Nordic Foundation, grant number NNF14OC0011049; the Swedish Diabetes foundation, grant number DIA2012-096 and DIA2015-037; the Albert Påhlsson Research Foundation, grant number FB2014-0036 and the Lund University Infrastructure grant “Malmö population-based cohorts” (STYR 2019/2046). Funding Information: This research was funded by European Research Council, grant number ERC-CoG-2014-649021 (for Orho-Melander); the Swedish Research Council, grant number Dnr 2013-08009; the EFSD/Lilly Award 2014, grant number Dnr 2015/338; EXODIAB (Swedish Research Council-Strategic Research Area), grant number Dnr 2009-1039; LUDC-IRC (Swedish Foundation for Strategic Re-search), grant number Dnr IRC15-006; the Region Sk?ne, grant number ALFSKANE 441261; the Heart-and Lung Foundation, grant number Dnr 014/379; the Novo Nordic Foundation, grant number NNF14OC0011049; the Swedish Diabetes foundation, grant number DIA2012-096 and DIA2015-037; the Albert P?hlsson Research Foundation, grant number FB2014-0036 and the Lund University Infrastructure grant ?Malm? population-based cohorts? (STYR 2019/2046). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021

Y1 - 2021

N2 - Irregular dietary intakes impairs estimations from food records. Biomarkers and method combinations can be used to improve estimates. Our aim was to examine reproducibility from two assessment methods, compare them, and validate intakes against objective biomarkers. We used the Malmö Offspring Study (55% women, 18–71 y) with data from a 4-day food record (4DFR) and a short food frequency questionnaire (SFFQ) to compare (1) repeated intakes (n = 180), (2) intakes from 4DFR and SFFQ (n = 1601), and (3) intakes of fatty fish, fruits and vegetables, and citrus with plasma biomarkers (n = 1433) (3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid [CMPF], β-carotene and proline betaine). We also combined 4DFR and SFFQ estimates using principal component analysis (PCA). Moderate correlations were seen between repeated intakes (4DFR median ρ = 0.41, SFFQ median ρ = 0.59) although lower for specific 4DFR-items, especially fatty/lean fish (ρ ≤ 0.08). Between-method correlations (median ρ = 0.33) were higher for intakes of overall food groups compared to specific foods. PCA scores for citrus (proline betaine ρ = 0.53) and fruits and vegetables (β-carotene: ρ = 0.39) showed the highest biomarker correlations, whereas fatty fish intake from the SFFQ per se showed the highest correlation with CMPF (ρ = 0.46). To conclude, the reproducibility of SFFQ data was superior to 4DFR data regarding irregularly consumed foods. Method combination could slightly improve fruit and vegetable estimates, whereas SFFQ data gave most valid fatty fish intake.

AB - Irregular dietary intakes impairs estimations from food records. Biomarkers and method combinations can be used to improve estimates. Our aim was to examine reproducibility from two assessment methods, compare them, and validate intakes against objective biomarkers. We used the Malmö Offspring Study (55% women, 18–71 y) with data from a 4-day food record (4DFR) and a short food frequency questionnaire (SFFQ) to compare (1) repeated intakes (n = 180), (2) intakes from 4DFR and SFFQ (n = 1601), and (3) intakes of fatty fish, fruits and vegetables, and citrus with plasma biomarkers (n = 1433) (3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid [CMPF], β-carotene and proline betaine). We also combined 4DFR and SFFQ estimates using principal component analysis (PCA). Moderate correlations were seen between repeated intakes (4DFR median ρ = 0.41, SFFQ median ρ = 0.59) although lower for specific 4DFR-items, especially fatty/lean fish (ρ ≤ 0.08). Between-method correlations (median ρ = 0.33) were higher for intakes of overall food groups compared to specific foods. PCA scores for citrus (proline betaine ρ = 0.53) and fruits and vegetables (β-carotene: ρ = 0.39) showed the highest biomarker correlations, whereas fatty fish intake from the SFFQ per se showed the highest correlation with CMPF (ρ = 0.46). To conclude, the reproducibility of SFFQ data was superior to 4DFR data regarding irregularly consumed foods. Method combination could slightly improve fruit and vegetable estimates, whereas SFFQ data gave most valid fatty fish intake.

KW - Biomarker

KW - Citrus

KW - Dietary assessment methods

KW - Fish

KW - Food intake

KW - Fruits

KW - Reproducibility

KW - Validation

KW - Vegetables

U2 - 10.3390/nu13051579

DO - 10.3390/nu13051579

M3 - Journal article

C2 - 34065043

AN - SCOPUS:85105401425

VL - 13

JO - Nutrients

JF - Nutrients

SN - 2072-6643

IS - 5

M1 - 1579

ER -