Evidence mapPaperPMID 38687986Full record

ArticleJournal of medical Internet research2024

Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food-Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study.

Hege Berg Henriksen, Markus Dines Knudsen, Anette Hjartåker, Rune Blomhoff, Monica Hauger Carlsen

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hege Berg HenriksenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0003-4566-3193
Markus Dines KnudsenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0001-9306-8327
Anette HjartåkerDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0003-3002-4030
Rune BlomhoffDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0001-7329-3615
Monica Hauger CarlsenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0001-8324-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValid assessment tools are needed when investigating adherence to national dietary and lifestyle guidelines.

objectiveThe relative validity of the new digital food frequency questionnaire, the DIGIKOST-FFQ, against 7-day weighed food records and activity sensors was investigated.

methodsIn total, 77 participants were included in the validation study and completed the DIGIKOST-FFQ and the weighed food record, and of these, 56 (73%) also used the activity sensors. The DIGIKOST-FFQ estimates the intake of foods according to the Norwegian food-based dietary guidelines (FBDGs) in addition to lifestyle factors.

resultsAt the group level, the DIGIKOST-FFQ showed good validity in estimating intakes according to the Norwegian FBDG. The median differences were small and well below portion sizes for all foods except "water" (median difference 230 g/day). The DIGIKOST-FFQ was able to rank individual intakes for all foods (r=0.2-0.7). However, ranking estimates of vegetable intakes should be interpreted with caution. Between 69% and 88% of the participants were classified into the same or adjacent quartile for foods and between 71% and 82% for different activity intensities. The Bland-Altman plots showed acceptable agreements between DIGIKOST-FFQ and the reference methods. The absolute amount of time in "moderate to vigorous intensity" was underestimated with the DIGIKOST-FFQ. However, estimated time in "moderate to vigorous intensity," "vigorous intensity," and "sedentary time" showed acceptable correlations and good agreement between the methods. The DIGIKOST-FFQ was able to identify adherence to the Norwegian FBDG and physical activity recommendations.

conclusionsThe DIGIKOST-FFQ gave valid estimates of dietary intakes and was able to identify individuals with different degrees of adherence to the Norwegian FBDG and physical activity recommendations. Moderate physical activity was underreported, water was overreported, and vegetables showed poor correlation, which are important to consider when interpreting the data. Good agreement was observed between the methods in estimating dietary intakes and time in "moderate to vigorous physical activity," "sedentary time," and "sleep."

Indexed as

Life StyleNutrition PolicyAdultAgedDiet RecordsFemaleHumansMaleMiddle AgedNorwaySurveys and Questionnairesadolescentadolescentsassessmentcross-sectional studydietdietarydietary intakedietary intakesdigital food frequency questionnairedigital questionnairefoodfood intakefoodsinvestigationlifestylelifestyle assessment toolmonitoringNorwayNorwegianNorwegian food–based dietary guidelinesobservationphysical activityrelative validityteenteenagerteenagersteensyouths

Identifiers

PMID38687986
PMCPMC11094607

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.