Cargando…
Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis
PURPOSE: Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evid...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899744/ https://www.ncbi.nlm.nih.gov/pubmed/35906357 http://dx.doi.org/10.1007/s00394-022-02954-4 |
_version_ | 1784882696687714304 |
---|---|
author | Watling, Cody Z. Kelly, Rebecca K. Tong, Tammy Y. N. Piernas, Carmen Watts, Eleanor L. Tin Tin, Sandar Knuppel, Anika Schmidt, Julie A. Travis, Ruth C. Key, Timothy J. Perez-Cornago, Aurora |
author_facet | Watling, Cody Z. Kelly, Rebecca K. Tong, Tammy Y. N. Piernas, Carmen Watts, Eleanor L. Tin Tin, Sandar Knuppel, Anika Schmidt, Julie A. Travis, Ruth C. Key, Timothy J. Perez-Cornago, Aurora |
author_sort | Watling, Cody Z. |
collection | PubMed |
description | PURPOSE: Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evidence remains inconclusive. Our aim was to assess cross-sectional associations of food group intakes with circulating IGF-I concentrations in the UK Biobank. METHODS: At recruitment, the UK Biobank participants reported their intake of commonly consumed foods. From these questions, intakes of total vegetables, fresh fruit, red meat, processed meat, poultry, oily fish, non-oily fish, and cheese were estimated. Serum IGF-I concentrations were measured in blood samples collected at recruitment. After exclusions, a total of 438,453 participants were included in this study. Multivariable linear regression was used to assess the associations of food group intakes with circulating IGF-I concentrations. RESULTS: Compared to never consumers, participants who reported consuming oily fish or non-oily fish ≥ 2 times/week had 1.25 nmol/L (95% confidence interval:1.19–1.31) and 1.16 nmol/L (1.08–1.24) higher IGF-I concentrations, respectively. Participants who reported consuming poultry ≥ 2 times/week had 0.87 nmol/L (0.80–0.94) higher IGF-I concentrations than those who reported never consuming poultry. There were no strong associations between other food groups and IGF-I concentrations. CONCLUSIONS: We found positive associations between oily and non-oily fish intake and circulating IGF-I concentrations. A weaker positive association of IGF-I with poultry intake was also observed. Further research is needed to understand the mechanisms which might explain these associations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02954-4. |
format | Online Article Text |
id | pubmed-9899744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-98997442023-02-07 Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis Watling, Cody Z. Kelly, Rebecca K. Tong, Tammy Y. N. Piernas, Carmen Watts, Eleanor L. Tin Tin, Sandar Knuppel, Anika Schmidt, Julie A. Travis, Ruth C. Key, Timothy J. Perez-Cornago, Aurora Eur J Nutr Original Contribution PURPOSE: Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evidence remains inconclusive. Our aim was to assess cross-sectional associations of food group intakes with circulating IGF-I concentrations in the UK Biobank. METHODS: At recruitment, the UK Biobank participants reported their intake of commonly consumed foods. From these questions, intakes of total vegetables, fresh fruit, red meat, processed meat, poultry, oily fish, non-oily fish, and cheese were estimated. Serum IGF-I concentrations were measured in blood samples collected at recruitment. After exclusions, a total of 438,453 participants were included in this study. Multivariable linear regression was used to assess the associations of food group intakes with circulating IGF-I concentrations. RESULTS: Compared to never consumers, participants who reported consuming oily fish or non-oily fish ≥ 2 times/week had 1.25 nmol/L (95% confidence interval:1.19–1.31) and 1.16 nmol/L (1.08–1.24) higher IGF-I concentrations, respectively. Participants who reported consuming poultry ≥ 2 times/week had 0.87 nmol/L (0.80–0.94) higher IGF-I concentrations than those who reported never consuming poultry. There were no strong associations between other food groups and IGF-I concentrations. CONCLUSIONS: We found positive associations between oily and non-oily fish intake and circulating IGF-I concentrations. A weaker positive association of IGF-I with poultry intake was also observed. Further research is needed to understand the mechanisms which might explain these associations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02954-4. Springer Berlin Heidelberg 2022-07-30 2023 /pmc/articles/PMC9899744/ /pubmed/35906357 http://dx.doi.org/10.1007/s00394-022-02954-4 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 Watling, Cody Z. Kelly, Rebecca K. Tong, Tammy Y. N. Piernas, Carmen Watts, Eleanor L. Tin Tin, Sandar Knuppel, Anika Schmidt, Julie A. Travis, Ruth C. Key, Timothy J. Perez-Cornago, Aurora Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title | Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title_full | Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title_fullStr | Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title_full_unstemmed | Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title_short | Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis |
title_sort | associations between food group intakes and circulating insulin-like growth factor-i in the uk biobank: a cross-sectional analysis |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899744/ https://www.ncbi.nlm.nih.gov/pubmed/35906357 http://dx.doi.org/10.1007/s00394-022-02954-4 |
work_keys_str_mv | AT watlingcodyz associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT kellyrebeccak associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT tongtammyyn associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT piernascarmen associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT wattseleanorl associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT tintinsandar associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT knuppelanika associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT schmidtjuliea associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT travisruthc associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT keytimothyj associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis AT perezcornagoaurora associationsbetweenfoodgroupintakesandcirculatinginsulinlikegrowthfactoriintheukbiobankacrosssectionalanalysis |