Development of novel data-driven Irish diets and associations with socio-economic profiles and health
Dietary patterns play a significant role in body mass index (BMI) and development of non-communicable diseases (NCDs), which are the leading cause of mortality worldwide, including Ireland, where 90% of all-cause mortality derives from NCDs. A cross-sectional survey was conducted across Ireland to c...
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ftpubmed:oai:pubmedcentral.nih.gov:10595899 2023-11-12T04:22:48+01:00 Development of novel data-driven Irish diets and associations with socio-economic profiles and health Burke, D Hynds, P Priyadarshini, A 2023-10-24 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595899/ https://doi.org/10.1093/eurpub/ckad160.460 en eng Oxford University Press http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595899/ http://dx.doi.org/10.1093/eurpub/ckad160.460 © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Eur J Public Health Parallel Programme Text 2023 ftpubmed https://doi.org/10.1093/eurpub/ckad160.460 2023-10-29T00:55:40Z Dietary patterns play a significant role in body mass index (BMI) and development of non-communicable diseases (NCDs), which are the leading cause of mortality worldwide, including Ireland, where 90% of all-cause mortality derives from NCDs. A cross-sectional survey was conducted across Ireland to collate respondents’ socio-economic profiles, health status, and dietary patterns with a representative sample size of 957 adult respondents. Principal component analysis (PCA) and statistical analyses were employed. To the author's knowledge, this is the first study to use recent (2021) nationally representative data to characterise dietary patterns in Ireland via dimensionality reduction. Five distinct dietary patterns (‘meat focused’, ‘dairy/ovo focused’, ‘vegetable focused’, ‘seafood focused’ and ‘potato focused’) were identified and statistically characterised. The ‘potato focused’ group exhibited the highest mean BMI (26.88 kg/m(2)), while the ‘vegetable focused’ group had the lowest (24.68 kg/m(2)). ‘Vegetable focused’ respondents were more likely to be associated with a categorically “normal” BMI (OR = 1.90, 95% CI [1.39, 2.60]) and urban residency (OR = 2.03, 95% CI [1.39, 2.96]). Conversely, ‘meat focused’ respondents were more likely to be obese (OR = 1.46, 95% CI [1.06, 2.00]) and rural (OR = 1.72, 95% CI [1.28, 2.31]), along with respondents attributed to the ‘potato focused’ group (OR = 2.15 [1.42, 3.26]). ‘Seafood focused’ respondents were more likely to report coronary heart disease (OR = 5.4, 95% CI [1.96, 15.01]) and more likely to have followed the current diet for <1 year (OR = 2.2, 95% CI [1.22, 3.96]). Results show that data-derived dietary patterns may better predict health outcomes than self-reported dietary patterns. BMI and NCD incidence rates may be reduced by shifting from heavy meat/dairy/egg/potato consumption (i.e., “traditional” Irish diet) to a contemporary North-Atlantic/Hibernian/Eireann/Irish diet focusing on vegetables, seafood and lower meat consumption. KEY MESSAGES: • Five ... Text North Atlantic PubMed Central (PMC) European Journal of Public Health 33 Supplement_2 |
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Parallel Programme Burke, D Hynds, P Priyadarshini, A Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
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Parallel Programme |
description |
Dietary patterns play a significant role in body mass index (BMI) and development of non-communicable diseases (NCDs), which are the leading cause of mortality worldwide, including Ireland, where 90% of all-cause mortality derives from NCDs. A cross-sectional survey was conducted across Ireland to collate respondents’ socio-economic profiles, health status, and dietary patterns with a representative sample size of 957 adult respondents. Principal component analysis (PCA) and statistical analyses were employed. To the author's knowledge, this is the first study to use recent (2021) nationally representative data to characterise dietary patterns in Ireland via dimensionality reduction. Five distinct dietary patterns (‘meat focused’, ‘dairy/ovo focused’, ‘vegetable focused’, ‘seafood focused’ and ‘potato focused’) were identified and statistically characterised. The ‘potato focused’ group exhibited the highest mean BMI (26.88 kg/m(2)), while the ‘vegetable focused’ group had the lowest (24.68 kg/m(2)). ‘Vegetable focused’ respondents were more likely to be associated with a categorically “normal” BMI (OR = 1.90, 95% CI [1.39, 2.60]) and urban residency (OR = 2.03, 95% CI [1.39, 2.96]). Conversely, ‘meat focused’ respondents were more likely to be obese (OR = 1.46, 95% CI [1.06, 2.00]) and rural (OR = 1.72, 95% CI [1.28, 2.31]), along with respondents attributed to the ‘potato focused’ group (OR = 2.15 [1.42, 3.26]). ‘Seafood focused’ respondents were more likely to report coronary heart disease (OR = 5.4, 95% CI [1.96, 15.01]) and more likely to have followed the current diet for <1 year (OR = 2.2, 95% CI [1.22, 3.96]). Results show that data-derived dietary patterns may better predict health outcomes than self-reported dietary patterns. BMI and NCD incidence rates may be reduced by shifting from heavy meat/dairy/egg/potato consumption (i.e., “traditional” Irish diet) to a contemporary North-Atlantic/Hibernian/Eireann/Irish diet focusing on vegetables, seafood and lower meat consumption. KEY MESSAGES: • Five ... |
format |
Text |
author |
Burke, D Hynds, P Priyadarshini, A |
author_facet |
Burke, D Hynds, P Priyadarshini, A |
author_sort |
Burke, D |
title |
Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
title_short |
Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
title_full |
Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
title_fullStr |
Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
title_full_unstemmed |
Development of novel data-driven Irish diets and associations with socio-economic profiles and health |
title_sort |
development of novel data-driven irish diets and associations with socio-economic profiles and health |
publisher |
Oxford University Press |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595899/ https://doi.org/10.1093/eurpub/ckad160.460 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Eur J Public Health |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595899/ http://dx.doi.org/10.1093/eurpub/ckad160.460 |
op_rights |
© The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
op_doi |
https://doi.org/10.1093/eurpub/ckad160.460 |
container_title |
European Journal of Public Health |
container_volume |
33 |
container_issue |
Supplement_2 |
_version_ |
1782337747377192960 |