Evaluating the Accuracy of Declared Eating Schedules by Continuous Glucose Monitoring

González Romero, Pedro; Madrid Pérez, Juan Antonio; Almaida Pagán, Pedro Francisco; Rol de Lama, María de los Ángeles

Publication:
Evaluating the Accuracy of Declared Eating Schedules by Continuous Glucose Monitoring

dc.contributor.author	González Romero, Pedro
dc.contributor.author	Madrid Pérez, Juan Antonio
dc.contributor.author	Almaida Pagán, Pedro Francisco
dc.contributor.author	Rol de Lama, María de los Ángeles
dc.contributor.department	Sin departamento asociado
dc.contributor.other	Facultades de la UMU::Facultad de Biología
dc.date.accessioned	2026-03-04T11:57:19Z
dc.date.available	2026-03-04T11:57:19Z
dc.date.issued	2026-02-27
dc.description.abstract	Background/Objectives: Chrononutrition is an emergent field concerning the effect of eating patterns on human health and their relationship with biological rhythms. Current evidence points towards the benefits of early eating in the prevention of non-communicable diseases and circadian health. Despite the importance of eating/fasting rhythm, current methods are neither specific nor validated against physiological variables. This work aimed to explore an objective metabolic outcome, postprandial glucose, as an accuracy indicator of self-declared meal schedules registered in a mobile app. Methods: A 1-week protocol of ambulatory monitoring of meal schedules, glucose, and circadian variables was performed in 20 young adults. Meal annotations were registered using KronoEat 1.0, a smartphone app, allowing for both prospective and recall entries. A circadian monitoring device provided data on movement intensity, distal skin temperature, and prospective food annotation. Results: Participants annotated an average of 3.5 food events/day/participant with KronoEat. Breakfast (92.7%) and lunch (86.4%) showed the highest proportion of food events related to a glycemic excursion, whereas this proportion was lower for dinner (79.7%) and snacks (67.7%). Postprandial glucose after main meals differed significantly from average glucose levels. Interesting couplings were found in circadian variables and glucose—for example, between post-breakfast glycemic excursions and the morning increase in activity. Conclusions: Meal schedules registered under free-living conditions in KronoEat show high levels of correlation with postprandial glucose and glycemic excursions derived from continuous glucose monitoring.
dc.format	application/pdf
dc.format.extent	15
dc.identifier.citation	Nutrients 2026, 18, 772
dc.identifier.doi	https://doi.org/10.3390/nu18050772
dc.identifier.eissn	2072-6643
dc.identifier.uri	http://hdl.handle.net/10201/217921
dc.language	eng
dc.relation	Sin financiación externa a la Universidad
dc.relation.publisherversion	https://www.mdpi.com/2072-6643/18/5/772
dc.rights	Attribution 4.0 International	*
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	Circadian rhythms
dc.subject	Glucose monitoring
dc.subject	Chrononutrition
dc.subject.ods	No relacionado con ningún objetivo de desarrollo sostenible
dc.title	Evaluating the Accuracy of Declared Eating Schedules by Continuous Glucose Monitoring
dc.type	info:eu-repo/semantics/article
dc.type.version	info:eu-repo/semantics/publishedVersion
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