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Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank

BACKGROUND: Food diets are complex and a policy targeting one item of a person’s diet does not affect their nutritional intake in a solely additive or subtractive manner. Policies tackling unhealthy diets are more likely to be adopted by governments if there is robust evidence to support them. To ev...

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Autores principales: Wilson, Luke B., Pryce, Robert, Moore, Esther C., Burke, Lucy, Breeze, Penny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656843/
https://www.ncbi.nlm.nih.gov/pubmed/37978364
http://dx.doi.org/10.1186/s12889-023-17217-y
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author Wilson, Luke B.
Pryce, Robert
Moore, Esther C.
Burke, Lucy
Breeze, Penny
author_facet Wilson, Luke B.
Pryce, Robert
Moore, Esther C.
Burke, Lucy
Breeze, Penny
author_sort Wilson, Luke B.
collection PubMed
description BACKGROUND: Food diets are complex and a policy targeting one item of a person’s diet does not affect their nutritional intake in a solely additive or subtractive manner. Policies tackling unhealthy diets are more likely to be adopted by governments if there is robust evidence to support them. To evaluate dietary policies, it is important to understand the correlations and interdependencies between food groups, as these can lead to unintended negative consequences. We aimed to see whether reductions in consumption of a particular group is related to a net improvement in nutritional intake, after taking into account patterns of consumption and substitution across food groups. METHODS: Detailed dietary data was collected using a 24-h online dietary assessment from the UK Biobank and Oxford Web Q (n = 185,611). We used panel data fixed effects methods to estimate changes in energy, saturated fat, total sugar, and fibre following a 100gram reduction across 44 food groups. We compare these estimates against the average nutritional value of that food group from the UK National Diet and Nutrition Survey. RESULTS: We find evidence of variation in whether a food is compensated between the main confectionery products. Crisps, savoury snacks, and sugar confectionery are less likely to be compensated, whereas chocolate confectionery, biscuits, and buns/cakes/pastries and pies are compensated. The result is particularly striking for chocolate confectionery which shows that while chocolate confectionery often has a high energy content, eating less chocolate confectionery is not associated with an equal reduction in energy. Instead, we find individuals switch or compensate for their reduction in chocolate confectionery consumption with other high energy food items. CONCLUSIONS: We find that sugar confectionery and crisps and savoury snacks are less likely to result in substitution than chocolate confectionery. This would suggest that food policies aiming to reduce the consumption of these food groups are more likely to result in overall lower consumption of unhealthy foods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17217-y.
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spelling pubmed-106568432023-11-17 Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank Wilson, Luke B. Pryce, Robert Moore, Esther C. Burke, Lucy Breeze, Penny BMC Public Health Research BACKGROUND: Food diets are complex and a policy targeting one item of a person’s diet does not affect their nutritional intake in a solely additive or subtractive manner. Policies tackling unhealthy diets are more likely to be adopted by governments if there is robust evidence to support them. To evaluate dietary policies, it is important to understand the correlations and interdependencies between food groups, as these can lead to unintended negative consequences. We aimed to see whether reductions in consumption of a particular group is related to a net improvement in nutritional intake, after taking into account patterns of consumption and substitution across food groups. METHODS: Detailed dietary data was collected using a 24-h online dietary assessment from the UK Biobank and Oxford Web Q (n = 185,611). We used panel data fixed effects methods to estimate changes in energy, saturated fat, total sugar, and fibre following a 100gram reduction across 44 food groups. We compare these estimates against the average nutritional value of that food group from the UK National Diet and Nutrition Survey. RESULTS: We find evidence of variation in whether a food is compensated between the main confectionery products. Crisps, savoury snacks, and sugar confectionery are less likely to be compensated, whereas chocolate confectionery, biscuits, and buns/cakes/pastries and pies are compensated. The result is particularly striking for chocolate confectionery which shows that while chocolate confectionery often has a high energy content, eating less chocolate confectionery is not associated with an equal reduction in energy. Instead, we find individuals switch or compensate for their reduction in chocolate confectionery consumption with other high energy food items. CONCLUSIONS: We find that sugar confectionery and crisps and savoury snacks are less likely to result in substitution than chocolate confectionery. This would suggest that food policies aiming to reduce the consumption of these food groups are more likely to result in overall lower consumption of unhealthy foods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17217-y. BioMed Central 2023-11-17 /pmc/articles/PMC10656843/ /pubmed/37978364 http://dx.doi.org/10.1186/s12889-023-17217-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wilson, Luke B.
Pryce, Robert
Moore, Esther C.
Burke, Lucy
Breeze, Penny
Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title_full Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title_fullStr Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title_full_unstemmed Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title_short Does cutting down on your food consumption lead to a net improvement in nutritional intake? A panel data approach using data from the UK Biobank
title_sort does cutting down on your food consumption lead to a net improvement in nutritional intake? a panel data approach using data from the uk biobank
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656843/
https://www.ncbi.nlm.nih.gov/pubmed/37978364
http://dx.doi.org/10.1186/s12889-023-17217-y
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