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Assessing Chronotypes by Ambulatory Circadian Monitoring

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dc.contributor.author Martínez-Nicolás, Antonio
dc.contributor.author Martínez-Madrid, María-José
dc.contributor.author Francisco-Almaida-Pagan, Pedro
dc.contributor.author Bonmati-Carrión, Maria-Ángeles
dc.contributor.author Madrid, Juan-Antonio
dc.contributor.author Rol, María-Ángeles
dc.date.accessioned 2026-01-22T07:38:36Z
dc.date.available 2026-01-22T07:38:36Z
dc.date.issued 2019-11-20
dc.identifier.citation Martinez-Nicolas A, Martinez-Madrid MJ, Almaida-Pagan PF, Bonmati-Carrion MA, Madrid JA, Rol MA. Assessing Chronotypes by Ambulatory Circadian Monitoring. Front Physiol. 20 de noviembre de 2019;10:1396.
dc.identifier.issn 1664-042X
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/23990
dc.description.abstract In order to develop objective indexes for chronotype identification by means of direct measurement of circadian rhythms, 159 undergraduate students were recruited as volunteers and instructed to wear ambulatory circadian monitoring (ACM) sensors that continuously gathered information on the individual's environmental light and temperature exposure, wrist temperature, body position, activity, and the integrated TAP (temperature, activity, and position) variable for 7 consecutive days under regular free-living conditions. Among all the proposed indexes, the night phase marker (NPM) of the TAP variable was the best suited to discriminate among chronotypes, due to its relationship with the Munich ChronoType Questionnaire (? = 0.531; p < 0.001). The NPM of TAP allowed subjects to be classified as early- (E-type, 20%), neither- (N-type, 60%), and late-types (L-type, 20%), each of which had its own characteristics. In terms of light exposure, while all subjects had short exposure times to bright light (>100 lux), with a daily average of 93.84 ± 5.72 min, the earlier chronotypes were exposed to brighter days and darker nights compared to the later chronotypes. Furthermore, the earlier chronotypes were associated with higher stability and day-night contrast, along with an earlier phase, which could be the cause or consequence of the light exposure habits. Overall, these data support the use of ACM for chronotype identification and for evaluation under free living conditions, using objective markers.
dc.language.iso eng
dc.publisher FRONTIERS MEDIA SA
dc.rights Atribución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es *
dc.title Assessing Chronotypes by Ambulatory Circadian Monitoring
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 31824327
dc.relation.publisherversion https://www.frontiersin.org/article/10.3389/fphys.2019.01396/full
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi 10.3389/fphys.2019.01396
dc.journal.title Frontiers in Physiology


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