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dc.contributor.authorKirkpatrick, Sharon I.
dc.contributor.authorCollins, Clare E.
dc.contributor.authorKeogh, Ruth H.
dc.contributor.authorKrebs-Smith, Susan M.
dc.contributor.authorNeuhouser, Marian L.
dc.contributor.authorWallace, Angela
dc.date.accessioned2021-09-24 17:41:27 (GMT)
dc.date.available2021-09-24 17:41:27 (GMT)
dc.date.issued2018-07-31
dc.identifier.urihttps://doi.org/10.3390/nu10081001
dc.identifier.urihttp://hdl.handle.net/10012/17525
dc.descriptionKirkpatrick, S. I., Collins, C. E., Keogh, R. H., Krebs-Smith, S. M., Neuhouser, M. L., & Wallace, A. (2018). Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs. Nutrients, 10(8), 1001. https://doi.org/10.3390/nu10081001en
dc.description.abstractTo inform strategies to improve the dietary intakes of populations, robust evaluations of interventions are required. This paper is drawn from a workshop held at the International Society of Behavioral Nutrition and Physical Activity 2017 Annual Meeting, and highlights considerations and research priorities relevant to measuring dietary outcomes within intervention studies. Self-reported dietary data are typically relied upon in such studies, and it is recognized that these data are affected by random and systematic error. Additionally, differential error between intervention and comparison groups or pre- and post-intervention can be elicited by the intervention itself, for example, by creating greater awareness of eating or drinking occasions or the desire to appear compliant. Differential reporting can render the results of trials incorrect or inconclusive by leading to biased estimates and reduced statistical power. The development of strategies to address intervention-related biases requires developing a better understanding of the situations and population groups in which interventions are likely to elicit differential reporting and the extent of the bias. Also needed are efforts to expand the feasibility and applications of biomarkers to address intervention-related biases. In the meantime, researchers are encouraged to consider the potential for differential biases in dietary reporting in a given study, to choose tools carefully and take steps to minimize and/or measure factors such as social desirability biases that might contribute to differential reporting, and to consider the implications of differential reporting for study results.en
dc.description.sponsorshipFunder 1, S.I.K. was funded by a Canadian Cancer Society Research Institute Capacity Development Award (702855) at the time that the workshop forming the basis for this paper was planned and her attendance at the conference was supported by a University of Waterloo International Research Partnership Grant || Funder 2, R.H.K. was supported by a Medical Research Council Fellowship (MR/M014827/1) || Funder 3, M.L.N. holds relevant funding from the National Institutes of Health (R01 CA119171).en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesNutrients;
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectinterventionsen
dc.subjectdietary assessmenten
dc.subjectdietary outcomesen
dc.subjectmeasurement erroren
dc.subjectbiasen
dc.subjectdifferential reportingen
dc.titleAssessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needsen
dc.typeArticleen
dcterms.bibliographicCitationKirkpatrick, S. I., Collins, C. E., Keogh, R. H., Krebs-Smith, S. M., Neuhouser, M. L., & Wallace, A. (2018). Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs. Nutrients, 10(8), 1001. https://doi.org/10.3390/nu10081001en
uws.contributor.affiliation1Faculty of Applied Health Sciencesen
uws.contributor.affiliation2Public Health and Health Systems (School of)en
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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