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Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations
Many researchers have identified the issue of self-selection bias hindering the ability to detect nutrient effects in healthy populations. However, it appears that no effort has been made to mitigate this potential design flaw. By recruiting individuals on the basis of pre-trial dietary intake, the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683507/ https://www.ncbi.nlm.nih.gov/pubmed/33240921 http://dx.doi.org/10.3389/fnut.2020.587983 |
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author | Young, Lauren M. Gauci, Sarah Scholey, Andrew White, David J. Pipingas, Andrew |
author_facet | Young, Lauren M. Gauci, Sarah Scholey, Andrew White, David J. Pipingas, Andrew |
author_sort | Young, Lauren M. |
collection | PubMed |
description | Many researchers have identified the issue of self-selection bias hindering the ability to detect nutrient effects in healthy populations. However, it appears that no effort has been made to mitigate this potential design flaw. By recruiting individuals on the basis of pre-trial dietary intake, the Memory and Attention Supplementation Trial aimed to capture a cohort of participants with a wide variety of dietary intake, thus increasing the likelihood of a diverse range of nutrient status. This perspective specifically examines the profile of these trial volunteers and in doing so, we present the first empirical evidence of self-selection bias when recruiting healthy volunteers for a randomized controlled trial of a nutrient-based supplement. These findings support the anecdotal proposal that traditional recruitment methods inherently attract trial volunteers who are vastly unrepresentative of the population and threatens the generalizability of this field of research. Alternative approaches to recruitment, including a-priori screening for baseline diet quality and nutrient status, are discussed as essential design recommendations to ensure accurate interpretation of nutrient effects within the context of baseline participant characteristics. |
format | Online Article Text |
id | pubmed-7683507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76835072020-11-24 Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations Young, Lauren M. Gauci, Sarah Scholey, Andrew White, David J. Pipingas, Andrew Front Nutr Nutrition Many researchers have identified the issue of self-selection bias hindering the ability to detect nutrient effects in healthy populations. However, it appears that no effort has been made to mitigate this potential design flaw. By recruiting individuals on the basis of pre-trial dietary intake, the Memory and Attention Supplementation Trial aimed to capture a cohort of participants with a wide variety of dietary intake, thus increasing the likelihood of a diverse range of nutrient status. This perspective specifically examines the profile of these trial volunteers and in doing so, we present the first empirical evidence of self-selection bias when recruiting healthy volunteers for a randomized controlled trial of a nutrient-based supplement. These findings support the anecdotal proposal that traditional recruitment methods inherently attract trial volunteers who are vastly unrepresentative of the population and threatens the generalizability of this field of research. Alternative approaches to recruitment, including a-priori screening for baseline diet quality and nutrient status, are discussed as essential design recommendations to ensure accurate interpretation of nutrient effects within the context of baseline participant characteristics. Frontiers Media S.A. 2020-11-10 /pmc/articles/PMC7683507/ /pubmed/33240921 http://dx.doi.org/10.3389/fnut.2020.587983 Text en Copyright © 2020 Young, Gauci, Scholey, White and Pipingas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Young, Lauren M. Gauci, Sarah Scholey, Andrew White, David J. Pipingas, Andrew Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title | Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title_full | Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title_fullStr | Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title_full_unstemmed | Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title_short | Self-Selection Bias: An Essential Design Consideration for Nutrition Trials in Healthy Populations |
title_sort | self-selection bias: an essential design consideration for nutrition trials in healthy populations |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683507/ https://www.ncbi.nlm.nih.gov/pubmed/33240921 http://dx.doi.org/10.3389/fnut.2020.587983 |
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