Publication: Assessing Chronotypes by Ambulatory Circadian Monitoring
Authors
Martinez-Nicolas, A ; Martinez-Madrid, M J ; Almaida Pagán, Pedro Francisco ; Madrid, Juan A ; Rol, M A ; Bonmatí Carrión, María de los Ángeles
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Publisher
Frontiers Media
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DOI
https://doi.org/10.3389/fphys.2019.01396
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info:eu-repo/semantics/article
Description
© The authors 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
This document is the Published version of a Published Work that appeared in final form in Frontiers in Physiology. To access the final edited and published work see https://doi.org/10.3389/fphys.2019.01396
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 freeliving 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 (b = 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.
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Citation
Frontiers in Physiology, 2019, 10:1396.
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