Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)

Dicken, Samuel J.; Dahm, Christina C.; Ibsen, Daniel B.; Olsen, Anja; Tjønneland, Anne; Louati Hajji, Mariem; Cadeau, Claire; Marques, Chloé; Schulze, Matthias B.; Jannasch, Franziska; Baldassari, Ivan; Manfredi, Luca; Santucci de Magistris, Maria; Sánchez, María José; Castro Espin, Carlota; Rodríguez Palacios, Daniel; Amiano, Pilar; Guevara, Marcela; Van Der Schouw, Yvonne T.; Boer, Jolanda M. A.; Verschuren, W. M. Monique; Sharp, Stephen J.; Forouhi, Nita G.; Wareham, Nicholas J.; Vamos, Eszter P.; Chang, Kiara; Vineis, Paolo; Heath, Alicia K.; Gunter, Marc J.; Nicolas, Geneviève; Weiderpass, Elisabete; Huybrechts, Inge; Batterham, Rachel L.

Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)

Background It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and incident type 2 diabetes mellitus. Methods This was a prospective c...

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Autores:	Dicken, Samuel J., Dahm, Christina C., Ibsen, Daniel B., Olsen, Anja, Tjønneland, Anne, Louati Hajji, Mariem, Cadeau, Claire, Marques, Chloé, Schulze, Matthias B., Jannasch, Franziska, Baldassari, Ivan, Manfredi, Luca, Santucci de Magistris, Maria, Sánchez, María José, Castro Espin, Carlota, Rodríguez Palacios, Daniel, Amiano, Pilar, Guevara, Marcela, Van Der Schouw, Yvonne T., Boer, Jolanda M. A., Verschuren, W. M. Monique, Sharp, Stephen J., Forouhi, Nita G., Wareham, Nicholas J., Vamos, Eszter P., Chang, Kiara, Vineis, Paolo, Heath, Alicia K., Gunter, Marc J., Nicolas, Geneviève, Weiderpass, Elisabete, Huybrechts, Inge, Batterham, Rachel L.
Tipo de recurso:	artículo
Estado:	Versión publicada
Fecha de publicación:	2024
País:	España
Institución:	Universidad de Barcelona
Repositorio:	Dipòsit Digital de la UB
OAI Identifier:	oai:diposit.ub.edu:2445/219587
Acceso en línea:	https://hdl.handle.net/2445/219587
Access Level:	acceso abierto
Palabra clave:	Diabetis no-insulinodependent Dieta Non-insulin-dependent diabetes Diet

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spelling	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)Dicken, Samuel J.Dahm, Christina C.Ibsen, Daniel B.Olsen, AnjaTjønneland, AnneLouati Hajji, MariemCadeau, ClaireMarques, ChloéSchulze, Matthias B.Jannasch, FranziskaBaldassari, IvanManfredi, LucaSantucci de Magistris, MariaSánchez, María José Castro Espin, CarlotaRodríguez Palacios, DanielAmiano, PilarGuevara, MarcelaVan Der Schouw, Yvonne T.Boer, Jolanda M. A.Verschuren, W. M. MoniqueSharp, Stephen J.Forouhi, Nita G.Wareham, Nicholas J.Vamos, Eszter P.Chang, KiaraVineis, PaoloHeath, Alicia K.Gunter, Marc J.Nicolas, GenevièveWeiderpass, ElisabeteHuybrechts, IngeBatterham, Rachel L.Diabetis no-insulinodependentDietaNon-insulin-dependent diabetesDietBackground It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and incident type 2 diabetes mellitus. Methods This was a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary intake was assessed at baseline using dietary questionnaires and classified according to the Nova classification into unprocessed/minimally processed food (MPF), processed culinary ingredients (PCI), processed food (PF) and UPF. Type 2 diabetes mellitus cases were verified through multiple methods. Cox regression and statistical substitution analysis was used to estimate associations between MPF + PCI, PF and UPF intake and incident type 2 diabetes mellitus. To investigate heterogeneity in the association between UPF and incident type 2 diabetes mellitus, UPF sub-group analysis was conducted. Different reference groups were used in each analysis. Findings Over an average 10.9 years follow-up of 311,892 individuals, 14,236 type 2 diabetes mellitus cases were identified. Each 10% increment of total daily food intake from UPF (%g/day) was associated with 17% (95% confidence interval (95%CI): 1.14-1.19) higher incident type 2 diabetes mellitus. Each 10% increment in MPF + PCI or PF intake was associated with lower incident type 2 diabetes mellitus (MPF + PCI hazard ratio: 0.94 (95%CI: 0.92-0.96); PF hazard ratio: 0.92 (95%CI: 0.89-0.95)). Replacing UPF with MPF + PCI or PF was associated with lower incident type 2 diabetes mellitus. However, heterogeneity was observed across UPF subgroups, with breads, biscuits and breakfast cereals, sweets and desserts, and plant-based alternatives associated with lower incident type 2 diabetes mellitus. Interpretation These findings support recommendations to focus on reducing intake of specific UPF for lowering type 2 diabetes mellitus risk.Elsevier BV2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/219587Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.lanepe.2024.101043The Lancet Regional Health - Europe, 2024, vol. 46https://doi.org/10.1016/j.lanepe.2024.101043cc-by (c) Dicken, Samuel J. et al., 2024http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2195872026-05-27T06:46:51Z
dc.title.none.fl_str_mv	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
title	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
spellingShingle	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) Dicken, Samuel J. Diabetis no-insulinodependent Dieta Non-insulin-dependent diabetes Diet
title_short	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
title_full	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
title_fullStr	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
title_full_unstemmed	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
title_sort	Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)
dc.creator.none.fl_str_mv	Dicken, Samuel J. Dahm, Christina C. Ibsen, Daniel B. Olsen, Anja Tjønneland, Anne Louati Hajji, Mariem Cadeau, Claire Marques, Chloé Schulze, Matthias B. Jannasch, Franziska Baldassari, Ivan Manfredi, Luca Santucci de Magistris, Maria Sánchez, María José Castro Espin, Carlota Rodríguez Palacios, Daniel Amiano, Pilar Guevara, Marcela Van Der Schouw, Yvonne T. Boer, Jolanda M. A. Verschuren, W. M. Monique Sharp, Stephen J. Forouhi, Nita G. Wareham, Nicholas J. Vamos, Eszter P. Chang, Kiara Vineis, Paolo Heath, Alicia K. Gunter, Marc J. Nicolas, Geneviève Weiderpass, Elisabete Huybrechts, Inge Batterham, Rachel L.
author	Dicken, Samuel J.
author_facet	Dicken, Samuel J. Dahm, Christina C. Ibsen, Daniel B. Olsen, Anja Tjønneland, Anne Louati Hajji, Mariem Cadeau, Claire Marques, Chloé Schulze, Matthias B. Jannasch, Franziska Baldassari, Ivan Manfredi, Luca Santucci de Magistris, Maria Sánchez, María José Castro Espin, Carlota Rodríguez Palacios, Daniel Amiano, Pilar Guevara, Marcela Van Der Schouw, Yvonne T. Boer, Jolanda M. A. Verschuren, W. M. Monique Sharp, Stephen J. Forouhi, Nita G. Wareham, Nicholas J. Vamos, Eszter P. Chang, Kiara Vineis, Paolo Heath, Alicia K. Gunter, Marc J. Nicolas, Geneviève Weiderpass, Elisabete Huybrechts, Inge Batterham, Rachel L.
author_role	author
author2	Dahm, Christina C. Ibsen, Daniel B. Olsen, Anja Tjønneland, Anne Louati Hajji, Mariem Cadeau, Claire Marques, Chloé Schulze, Matthias B. Jannasch, Franziska Baldassari, Ivan Manfredi, Luca Santucci de Magistris, Maria Sánchez, María José Castro Espin, Carlota Rodríguez Palacios, Daniel Amiano, Pilar Guevara, Marcela Van Der Schouw, Yvonne T. Boer, Jolanda M. A. Verschuren, W. M. Monique Sharp, Stephen J. Forouhi, Nita G. Wareham, Nicholas J. Vamos, Eszter P. Chang, Kiara Vineis, Paolo Heath, Alicia K. Gunter, Marc J. Nicolas, Geneviève Weiderpass, Elisabete Huybrechts, Inge Batterham, Rachel L.
author2_role	author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author
dc.subject.none.fl_str_mv	Diabetis no-insulinodependent Dieta Non-insulin-dependent diabetes Diet
topic	Diabetis no-insulinodependent Dieta Non-insulin-dependent diabetes Diet
description	Background It is unknown whether the association between ultra-processed food (UPF) intake and type 2 diabetes mellitus differs from other degrees of food processing. We examined the association between degree of food processing and incident type 2 diabetes mellitus. Methods This was a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC). Dietary intake was assessed at baseline using dietary questionnaires and classified according to the Nova classification into unprocessed/minimally processed food (MPF), processed culinary ingredients (PCI), processed food (PF) and UPF. Type 2 diabetes mellitus cases were verified through multiple methods. Cox regression and statistical substitution analysis was used to estimate associations between MPF + PCI, PF and UPF intake and incident type 2 diabetes mellitus. To investigate heterogeneity in the association between UPF and incident type 2 diabetes mellitus, UPF sub-group analysis was conducted. Different reference groups were used in each analysis. Findings Over an average 10.9 years follow-up of 311,892 individuals, 14,236 type 2 diabetes mellitus cases were identified. Each 10% increment of total daily food intake from UPF (%g/day) was associated with 17% (95% confidence interval (95%CI): 1.14-1.19) higher incident type 2 diabetes mellitus. Each 10% increment in MPF + PCI or PF intake was associated with lower incident type 2 diabetes mellitus (MPF + PCI hazard ratio: 0.94 (95%CI: 0.92-0.96); PF hazard ratio: 0.92 (95%CI: 0.89-0.95)). Replacing UPF with MPF + PCI or PF was associated with lower incident type 2 diabetes mellitus. However, heterogeneity was observed across UPF subgroups, with breads, biscuits and breakfast cereals, sweets and desserts, and plant-based alternatives associated with lower incident type 2 diabetes mellitus. Interpretation These findings support recommendations to focus on reducing intake of specific UPF for lowering type 2 diabetes mellitus risk.
publishDate	2024
dc.date.none.fl_str_mv	2024
dc.type.none.fl_str_mv	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion
format	article
status_str	publishedVersion
dc.identifier.none.fl_str_mv	https://hdl.handle.net/2445/219587
url	https://hdl.handle.net/2445/219587
dc.language.none.fl_str_mv	Inglés
language_invalid_str_mv	Inglés
dc.relation.none.fl_str_mv	Reproducció del document publicat a: https://doi.org/10.1016/j.lanepe.2024.101043 The Lancet Regional Health - Europe, 2024, vol. 46 https://doi.org/10.1016/j.lanepe.2024.101043
dc.rights.none.fl_str_mv	cc-by (c) Dicken, Samuel J. et al., 2024 http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess
rights_invalid_str_mv	cc-by (c) Dicken, Samuel J. et al., 2024 http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv	openAccess
dc.format.none.fl_str_mv	application/pdf
dc.publisher.none.fl_str_mv	Elsevier BV
publisher.none.fl_str_mv	Elsevier BV
dc.source.none.fl_str_mv	Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona
instname_str	Universidad de Barcelona
reponame_str	Dipòsit Digital de la UB
collection	Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC)

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