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Compensatory eating after exercise in everyday life: Insights from daily diary studies

There is considerable variability in how successful people are in losing weight via exercise programs. Experimental research suggests that greater food intake after exercise may be one factor underlying this variability, but no studies have assessed patterns of post-exercise eating behaviour over ti...

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Autores principales: Reily, Natalie M., Pinkus, Rebecca T., Vartanian, Lenny R., Faasse, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016725/
https://www.ncbi.nlm.nih.gov/pubmed/36920917
http://dx.doi.org/10.1371/journal.pone.0282501
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author Reily, Natalie M.
Pinkus, Rebecca T.
Vartanian, Lenny R.
Faasse, Kate
author_facet Reily, Natalie M.
Pinkus, Rebecca T.
Vartanian, Lenny R.
Faasse, Kate
author_sort Reily, Natalie M.
collection PubMed
description There is considerable variability in how successful people are in losing weight via exercise programs. Experimental research suggests that greater food intake after exercise may be one factor underlying this variability, but no studies have assessed patterns of post-exercise eating behaviour over time in naturalistic settings. Thus, we aimed to assess how exercise and contextual factors (e.g., hunger, presence of others) influence the healthiness and amount of food eaten after exercise in two daily diary studies. In Study 1, participants (n = 48) reported their food intake and exercise daily for 28 days. For each meal, they provided a brief description of the food(s) eaten which were then categorised as healthy, unhealthy, or mixed (neither healthy nor unhealthy) by two independent coders. Study 2 used the same method, but participants (n = 55) also reported the portion size of each meal. Hierarchical linear modelling showed that in Study 1, contrary to expectations, post-exercise meals were less likely to be unhealthy (relative to mixed) than were random meals from non-exercise days (OR = 0.63, p = .011), and that participants ate proportionally fewer unhealthy meals on exercise days compared to non-exercise days (b = -4.27, p = .004). Study 2 replicated these findings, and also found that participants consumed larger meals after exercise in comparison to random meals from non-exercise days (b = 0.25, p < .001). Participants were not consistently engaging in compensatory eating by eating less healthily after exercise compared to on non-exercise days, but they did eat larger portions post-exercise. This work highlights the need for naturalistic methods of assessing compensatory eating, and has the potential to facilitate development of strategies to improve health behaviour regulation.
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spelling pubmed-100167252023-03-16 Compensatory eating after exercise in everyday life: Insights from daily diary studies Reily, Natalie M. Pinkus, Rebecca T. Vartanian, Lenny R. Faasse, Kate PLoS One Research Article There is considerable variability in how successful people are in losing weight via exercise programs. Experimental research suggests that greater food intake after exercise may be one factor underlying this variability, but no studies have assessed patterns of post-exercise eating behaviour over time in naturalistic settings. Thus, we aimed to assess how exercise and contextual factors (e.g., hunger, presence of others) influence the healthiness and amount of food eaten after exercise in two daily diary studies. In Study 1, participants (n = 48) reported their food intake and exercise daily for 28 days. For each meal, they provided a brief description of the food(s) eaten which were then categorised as healthy, unhealthy, or mixed (neither healthy nor unhealthy) by two independent coders. Study 2 used the same method, but participants (n = 55) also reported the portion size of each meal. Hierarchical linear modelling showed that in Study 1, contrary to expectations, post-exercise meals were less likely to be unhealthy (relative to mixed) than were random meals from non-exercise days (OR = 0.63, p = .011), and that participants ate proportionally fewer unhealthy meals on exercise days compared to non-exercise days (b = -4.27, p = .004). Study 2 replicated these findings, and also found that participants consumed larger meals after exercise in comparison to random meals from non-exercise days (b = 0.25, p < .001). Participants were not consistently engaging in compensatory eating by eating less healthily after exercise compared to on non-exercise days, but they did eat larger portions post-exercise. This work highlights the need for naturalistic methods of assessing compensatory eating, and has the potential to facilitate development of strategies to improve health behaviour regulation. Public Library of Science 2023-03-15 /pmc/articles/PMC10016725/ /pubmed/36920917 http://dx.doi.org/10.1371/journal.pone.0282501 Text en © 2023 Reily et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Reily, Natalie M.
Pinkus, Rebecca T.
Vartanian, Lenny R.
Faasse, Kate
Compensatory eating after exercise in everyday life: Insights from daily diary studies
title Compensatory eating after exercise in everyday life: Insights from daily diary studies
title_full Compensatory eating after exercise in everyday life: Insights from daily diary studies
title_fullStr Compensatory eating after exercise in everyday life: Insights from daily diary studies
title_full_unstemmed Compensatory eating after exercise in everyday life: Insights from daily diary studies
title_short Compensatory eating after exercise in everyday life: Insights from daily diary studies
title_sort compensatory eating after exercise in everyday life: insights from daily diary studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016725/
https://www.ncbi.nlm.nih.gov/pubmed/36920917
http://dx.doi.org/10.1371/journal.pone.0282501
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