Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study

This observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) and 14 with normoglycemia (N-GLYC). We hypothesized that a prolonged eating window and late eating occasions (EOs),...

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Autores: Santos Baez, Leinys S, Díaz Rizzolo, Diana A, Popp, Collin, Shaw, Delaney, Fine, Keenan S., Altomare, Annemarie, St-Onge, Marie-Pierre, Manoogian, Emily Nicole, Panda, Satchidananda, Cheng, Bin, Laferrère, Blandine
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/152176
Acceso en línea:http://hdl.handle.net/10609/152176
https://doi.org/10.3390/nu16091295
Access Level:acceso abierto
Palabra clave:continuous glucose monitoring
diet composition
meal timing
normoglycemic
dysglycemic
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spelling Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot studySantos Baez, Leinys SDíaz Rizzolo, Diana APopp, CollinShaw, DelaneyFine, Keenan S.Altomare, AnnemarieSt-Onge, Marie-PierreManoogian, Emily NicolePanda, SatchidanandaCheng, BinLaferrère, Blandinecontinuous glucose monitoringdiet compositionmeal timingnormoglycemicdysglycemicThis observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) and 14 with normoglycemia (N-GLYC). We hypothesized that a prolonged eating window and late eating occasions (EOs), along with a higher dietary carbohydrate intake, would result in higher glucose levels and glucose variability (GV). General linear models were run with meal timing with time-stamped photographs in real time, and diet composition by dietary recalls, and their variability (SD), as predictors and glucose variables (mean glucose, mean amplitude of glucose excursions [MAGE], largest amplitude of glucose excursions [LAGE] and GV) as dependent variables. After adjusting for calories and nutrients, a later eating midpoint predicted a lower GV (β = −2.3, SE = 1.0, p = 0.03) in D-GLYC, while a later last EO predicted a higher GV (β = 1.5, SE = 0.6, p = 0.04) in N-GLYC. A higher carbohydrate intake predicted a higher MAGE (β = 0.9, SE = 0.4, p = 0.02) and GV (β = 0.4, SE = 0.2, p = 0.04) in N-GLYC, but not D-GLYC. In summary, our data suggest that meal patterns interact with dietary composition and should be evaluated as potential modifiable determinants of glucose in adults with and without dysglycemia. Future research should evaluate causality with controlled diets.MDPI202520252024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10609/152176https://doi.org/10.3390/nu16091295reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésNutrients, 2024,16(9)https://www.mdpi.com/2072-6643/16/9/1295info:eu-repo/grantAgreement/NIA/R01AG065569/info:eu-repo/grantAgreement/NCATS/UL1TR001873/info:eu-repo/grantAgreement/T32/HL007343-44/info:eu-repo/grantAgreement/T32/R01AG065569-03S1/info:eu-repo/grantAgreement/R01NR018916//info:eu-repo/grantAgreement/K99HL163474//info:eu-repo/grantAgreement/DK124484//info:eu-repo/grantAgreement/DK129668//info:eu-repo/grantAgreement/DK118278//info:eu-repo/grantAgreement/R01DK128226//info:eu-repo/grantAgreement/R01HL142648//info:eu-repo/grantAgreement/R35HL155670//CC BYhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1521762026-05-28T12:42:01Z
dc.title.none.fl_str_mv Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
title Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
spellingShingle Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
Santos Baez, Leinys S
continuous glucose monitoring
diet composition
meal timing
normoglycemic
dysglycemic
title_short Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
title_full Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
title_fullStr Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
title_full_unstemmed Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
title_sort Diet and meal pattern determinants of glucose levels and variability in adults with and without prediabetes or early-onset type 2 diabetes: a pilot study
dc.creator.none.fl_str_mv Santos Baez, Leinys S
Díaz Rizzolo, Diana A
Popp, Collin
Shaw, Delaney
Fine, Keenan S.
Altomare, Annemarie
St-Onge, Marie-Pierre
Manoogian, Emily Nicole
Panda, Satchidananda
Cheng, Bin
Laferrère, Blandine
author Santos Baez, Leinys S
author_facet Santos Baez, Leinys S
Díaz Rizzolo, Diana A
Popp, Collin
Shaw, Delaney
Fine, Keenan S.
Altomare, Annemarie
St-Onge, Marie-Pierre
Manoogian, Emily Nicole
Panda, Satchidananda
Cheng, Bin
Laferrère, Blandine
author_role author
author2 Díaz Rizzolo, Diana A
Popp, Collin
Shaw, Delaney
Fine, Keenan S.
Altomare, Annemarie
St-Onge, Marie-Pierre
Manoogian, Emily Nicole
Panda, Satchidananda
Cheng, Bin
Laferrère, Blandine
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv continuous glucose monitoring
diet composition
meal timing
normoglycemic
dysglycemic
topic continuous glucose monitoring
diet composition
meal timing
normoglycemic
dysglycemic
description This observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) and 14 with normoglycemia (N-GLYC). We hypothesized that a prolonged eating window and late eating occasions (EOs), along with a higher dietary carbohydrate intake, would result in higher glucose levels and glucose variability (GV). General linear models were run with meal timing with time-stamped photographs in real time, and diet composition by dietary recalls, and their variability (SD), as predictors and glucose variables (mean glucose, mean amplitude of glucose excursions [MAGE], largest amplitude of glucose excursions [LAGE] and GV) as dependent variables. After adjusting for calories and nutrients, a later eating midpoint predicted a lower GV (β = −2.3, SE = 1.0, p = 0.03) in D-GLYC, while a later last EO predicted a higher GV (β = 1.5, SE = 0.6, p = 0.04) in N-GLYC. A higher carbohydrate intake predicted a higher MAGE (β = 0.9, SE = 0.4, p = 0.02) and GV (β = 0.4, SE = 0.2, p = 0.04) in N-GLYC, but not D-GLYC. In summary, our data suggest that meal patterns interact with dietary composition and should be evaluated as potential modifiable determinants of glucose in adults with and without dysglycemia. Future research should evaluate causality with controlled diets.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
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 http://hdl.handle.net/10609/152176
https://doi.org/10.3390/nu16091295
url http://hdl.handle.net/10609/152176
https://doi.org/10.3390/nu16091295
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Nutrients, 2024,16(9)
https://www.mdpi.com/2072-6643/16/9/1295
info:eu-repo/grantAgreement/NIA/R01AG065569/
info:eu-repo/grantAgreement/NCATS/UL1TR001873/
info:eu-repo/grantAgreement/T32/HL007343-44/
info:eu-repo/grantAgreement/T32/R01AG065569-03S1/
info:eu-repo/grantAgreement/R01NR018916//
info:eu-repo/grantAgreement/K99HL163474//
info:eu-repo/grantAgreement/DK124484//
info:eu-repo/grantAgreement/DK129668//
info:eu-repo/grantAgreement/DK118278//
info:eu-repo/grantAgreement/R01DK128226//
info:eu-repo/grantAgreement/R01HL142648//
info:eu-repo/grantAgreement/R35HL155670//
dc.rights.none.fl_str_mv CC BY
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC BY
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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