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Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank

PURPOSE: Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet–disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in th...

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Autores principales: Papier, Keren, Kakkoura, Maria G., Guo, Yu, Knuppel, Anika, Pei, Pei, Tong, Tammy Y. N., Yu, Canqing, Perez-Cornago, Aurora, Chang, Wing Ching, Chen, Junshi, Lv, Jun, Li, Liming, Chen, Zhengming, Du, Huaidong, Key, Timothy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941233/
https://www.ncbi.nlm.nih.gov/pubmed/36271961
http://dx.doi.org/10.1007/s00394-022-03031-6
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author Papier, Keren
Kakkoura, Maria G.
Guo, Yu
Knuppel, Anika
Pei, Pei
Tong, Tammy Y. N.
Yu, Canqing
Perez-Cornago, Aurora
Chang, Wing Ching
Chen, Junshi
Lv, Jun
Li, Liming
Chen, Zhengming
Du, Huaidong
Key, Timothy J.
author_facet Papier, Keren
Kakkoura, Maria G.
Guo, Yu
Knuppel, Anika
Pei, Pei
Tong, Tammy Y. N.
Yu, Canqing
Perez-Cornago, Aurora
Chang, Wing Ching
Chen, Junshi
Lv, Jun
Li, Liming
Chen, Zhengming
Du, Huaidong
Key, Timothy J.
author_sort Papier, Keren
collection PubMed
description PURPOSE: Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet–disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). METHODS: Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013–2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009–2012). Intakes of 12 major food groups and five beverages were harmonized and compared between the cohorts overall, by sex and by SES. Multivariable-adjusted linear regression examined the associations between dietary intakes and body mass index (BMI) in each cohort. RESULTS: CKB participants reported consuming more rice, eggs, vegetables, soya products, and less wheat, other staple foods (other than rice and wheat), fish, poultry, all dairy products, fruit, and beverages compared to UKB participants. Red meat intake was similar in both cohorts. Having a higher SES was generally associated with a higher consumption of foods and beverages in CKB, whereas in UKB dietary intakes differed more by education and income, with a positive association observed for meat and income in both UKB and CKB but an inverse association observed for education in UKB. Associations of dietary intakes with BMI varied between the two cohorts. CONCLUSION: The large differences in dietary intakes and their associations with SES and BMI could provide insight into the interpretation of potentially different diet–disease associations between CKB and UKB. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-03031-6.
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spelling pubmed-99412332023-02-22 Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank Papier, Keren Kakkoura, Maria G. Guo, Yu Knuppel, Anika Pei, Pei Tong, Tammy Y. N. Yu, Canqing Perez-Cornago, Aurora Chang, Wing Ching Chen, Junshi Lv, Jun Li, Liming Chen, Zhengming Du, Huaidong Key, Timothy J. Eur J Nutr Original Contribution PURPOSE: Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet–disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). METHODS: Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013–2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009–2012). Intakes of 12 major food groups and five beverages were harmonized and compared between the cohorts overall, by sex and by SES. Multivariable-adjusted linear regression examined the associations between dietary intakes and body mass index (BMI) in each cohort. RESULTS: CKB participants reported consuming more rice, eggs, vegetables, soya products, and less wheat, other staple foods (other than rice and wheat), fish, poultry, all dairy products, fruit, and beverages compared to UKB participants. Red meat intake was similar in both cohorts. Having a higher SES was generally associated with a higher consumption of foods and beverages in CKB, whereas in UKB dietary intakes differed more by education and income, with a positive association observed for meat and income in both UKB and CKB but an inverse association observed for education in UKB. Associations of dietary intakes with BMI varied between the two cohorts. CONCLUSION: The large differences in dietary intakes and their associations with SES and BMI could provide insight into the interpretation of potentially different diet–disease associations between CKB and UKB. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-03031-6. Springer Berlin Heidelberg 2022-10-22 2023 /pmc/articles/PMC9941233/ /pubmed/36271961 http://dx.doi.org/10.1007/s00394-022-03031-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) .
spellingShingle Original Contribution
Papier, Keren
Kakkoura, Maria G.
Guo, Yu
Knuppel, Anika
Pei, Pei
Tong, Tammy Y. N.
Yu, Canqing
Perez-Cornago, Aurora
Chang, Wing Ching
Chen, Junshi
Lv, Jun
Li, Liming
Chen, Zhengming
Du, Huaidong
Key, Timothy J.
Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title_full Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title_fullStr Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title_full_unstemmed Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title_short Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank
title_sort intakes of major food groups in china and uk: results from 100,000 adults in the china kadoorie biobank and uk biobank
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941233/
https://www.ncbi.nlm.nih.gov/pubmed/36271961
http://dx.doi.org/10.1007/s00394-022-03031-6
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