Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23549
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dc.contributor.authorNève, Gilles-
dc.contributor.authorBur, Laura-
dc.contributor.authorLampert, Ladina-
dc.contributor.authorHöchsmann, Christoph-
dc.contributor.authorBrombach, Christine-
dc.contributor.authorSteinemann, Nina-
dc.contributor.authorSchmidt-Trucksäss, Arno-
dc.date.accessioned2021-11-22T12:52:06Z-
dc.date.available2021-11-22T12:52:06Z-
dc.date.issued2022-
dc.identifier.issn2296-861Xde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23549-
dc.description.abstractBackground: Accurately assessing dietary intake is crucial in understanding how diet affects a person’s health. In large cohorts, paper-based Dietary Assessment Tools (DAT) such as food recalls or food frequency questionnaires have emerged as valid tools with a low burden for participants. Objective: To validate a visually aided DAT for use in studies with Swiss adults against the gold standard of a weighed 7-day food record (7d-FR). Design: Fifty-one subjects (n=24 women, n=27 males) participated in the study and were recruited within two age groups (20- 40y and 50-70 y). Each subject filled out the visually aided DAT, then the 7dFR. The DAT was compared to the 7d-FR for total energy intake, macronutrients, sugar, water, and portions of fruits and vegetables. Pearson correlation and Bland-Altman analyses were used for statistical analyses. Results: Total correlations ranged from 0.288 (sugar, p<0.05) to 0.729 (water, p<0.01). The older age group showed higher correlations for total energy intake, protein, fats, carbohydrates, and sugar, but not for water (p<0.05). Correlations were moderate at r > 0.5, whereas only water and protein reached those values in the young group. Both groups overestimated total calories in kcal (+14.0%), grams of protein (+44.6%), and fats (+36.3%), and portions of fruits and vegetables (+16.0%) but strongly underestimated sugar intake (-50.9%). Conclusions: This DAT showed that all macronutrients and total energy intake were estimated more accurately by the older age group and therefore might be adequate to capture dietary habits in older Swiss adults.de_CH
dc.language.isoende_CH
dc.publisherFrontiers Research Foundationde_CH
dc.relation.ispartofFrontiers in Nutritionde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectDiet assessment toolde_CH
dc.subjectWeighed food recordde_CH
dc.subjectValidation studyde_CH
dc.subjectFood frequency questionnairede_CH
dc.subject24-h recallde_CH
dc.subject.ddc613.2: Diätetikde_CH
dc.titleValidation of a visually aides dietary assessment tool to estimate dietary intake in adult Swiss populationde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Lebensmittel- und Getränkeinnovation (ILGI)de_CH
dc.identifier.doi10.3389/fnut.2022.844156de_CH
dc.identifier.doi10.21256/zhaw-23549-
zhaw.funding.euNode_CH
zhaw.issue844156de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume9de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedErnährungde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Nève, G., Bur, L., Lampert, L., Höchsmann, C., Brombach, C., Steinemann, N., & Schmidt-Trucksäss, A. (2022). Validation of a visually aides dietary assessment tool to estimate dietary intake in adult Swiss population. Frontiers in Nutrition, 9(844156). https://doi.org/10.3389/fnut.2022.844156
Nève, G. et al. (2022) ‘Validation of a visually aides dietary assessment tool to estimate dietary intake in adult Swiss population’, Frontiers in Nutrition, 9(844156). Available at: https://doi.org/10.3389/fnut.2022.844156.
G. Nève et al., “Validation of a visually aides dietary assessment tool to estimate dietary intake in adult Swiss population,” Frontiers in Nutrition, vol. 9, no. 844156, 2022, doi: 10.3389/fnut.2022.844156.
NÈVE, Gilles, Laura BUR, Ladina LAMPERT, Christoph HÖCHSMANN, Christine BROMBACH, Nina STEINEMANN und Arno SCHMIDT-TRUCKSÄSS, 2022. Validation of a visually aides dietary assessment tool to estimate dietary intake in adult Swiss population. Frontiers in Nutrition. 2022. Bd. 9, Nr. 844156. DOI 10.3389/fnut.2022.844156
Nève, Gilles, Laura Bur, Ladina Lampert, Christoph Höchsmann, Christine Brombach, Nina Steinemann, and Arno Schmidt-Trucksäss. 2022. “Validation of a Visually Aides Dietary Assessment Tool to Estimate Dietary Intake in Adult Swiss Population.” Frontiers in Nutrition 9 (844156). https://doi.org/10.3389/fnut.2022.844156.
Nève, Gilles, et al. “Validation of a Visually Aides Dietary Assessment Tool to Estimate Dietary Intake in Adult Swiss Population.” Frontiers in Nutrition, vol. 9, no. 844156, 2022, https://doi.org/10.3389/fnut.2022.844156.


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