Circadian phase asessment by ambulatory monitoring in humans: Correlation with dim light melatonin onset
Abstract
The increased prevalence of circadian disruptions due to abnormal coupling between internal and external time makes the detection of circadian phase in humans by ambulatory recordings a compelling need. Here, we propose an accurate practical procedure to estimate circadian phase with the least possible burden for the subject, that is, without the restraints of a constant routine protocol or laboratory techniques such as melatonin quantification, both of which are standard procedures. In this validation study, subjects (N = 13) wore ambulatory monitoring devices, kept daily sleep diaries and went about their daily routine for 10 days. The devices measured skin temperature at wrist level (WT), motor activity and body position on the arm, and light exposure by means of a sensor placed on the chest. Dim light melatonin onset (DLMO) was used to compare and evaluate the accuracy of the ambulatory variables in assessing circadian phase. An evening increase in WT: WTOnset (WTOn) and "WT increase onset" (WTiO) was found to anticipate the evening increase in melatonin, while decreases in motor activity (Activity Offset or AcOff), body position (Position Offset (POff)), integrative TAP (a combination of WT, activity and body position) (TAPOffset or TAPOff) and an increase in declared sleep propensity were phase delayed with respect to DLMO. The phase markers obtained from subjective sleep (R = 0.811), WT (R = 0.756) and the composite variable TAP (R = 0.720) were highly and significantly correlated with DLMO. The findings strongly support a new method to calculate circadian phase based on WT (WTiO) that accurately predicts and shows a temporal association with DLMO. WTiO is especially recommended due to its simplicity and applicability to clinical use under conditions where knowing endogenous circadian phase is important, such as in cancer chronotherapy and light therapy.
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Wrist temperature traces are suitable to estimate circadian entrainment, comparable to melatonin or core body temperature, as marker rhythms.
“and are therefore suitable to estimate circadian entrainment, comparable to melatonin or core body temperature, as marker rhythms12,13.”
From Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank (2023) · cites this paper as [13]
Phase determined by wrist temperature readings correlated strongly (R = 0.756) with circadian phase assessed by dim light melatonin onset (DLMO) in a study of 13 healthy volunteers.
“To underscore the value of wrist temperature as a potential biomarker, we refer to a study in 13 healthy volunteers showing that phase determined by wrist temperature readings correlated strongly (R = 0.756) with the circadian phase assessed by dim light melatonin onset (DLMO), which is the gold standard in the field13.”
From Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank (2023) · cites this paper as [13]
Temperature traces in the UK Biobank study capture biological signal compellingly and agree with field studies.
“Our results indicate that the temperature traces in the UKBB study capture biological signal compellingly and agree with field studies13,23,32.”
From Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank (2023) · cites this paper as [13]
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Madrid-Navarro, C. J., Sevilla, F. E., Mínguez‐Castellanos, A., Campos, M., Abellán, F. R., Madrid, J. A., & Rol, M. A. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00157 · Cited by 59 · see citing works
Self-citationDiurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Brooks, T. G., Lahens, N. F., Grant, G. R., Sheline, Y. I., FitzGerald, G. A., & Skarke, C. (2023) · Nature Communications · doi:10.1038/s41467-023-40977-5 · Cited by 57 · see citing works
“Our results indicate that the temperature traces in the UKBB study capture biological signal compellingly and agree with fi eld studies 13,23,32 .”
InfluentialCircadian monitoring as an aging predictor
Martínez-Nicolás, A., Madrid, J. A., García‐García, F. J., Campos, M., Moreno‐Casbas, T., Pagán, P., Lucas-Sánchez, A., & Rol, M. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-33195-3 · Cited by 52 · see citing works
Self-citationAssessing Chronotypes by Ambulatory Circadian Monitoring
Martínez-Nicolás, A., Martínez-Madrid, M. J., Pagán, P., Bonmatí‐Carrión, M., Madrid, J. A., & Rol, M. A. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01396 · Cited by 53 · see citing works
“Wrist temperature (WT), one of the components of the TAP variable, is a marker of peripheral vasodilation mediated by the sympathetic/parasympathetic balance (Rubinstein and Sessler, 1990; Charkoudian, 2003; Sarabia et al., 2008), with a stable phase relationship with DLMO (Bonmati-Carrion et al., 2014b) and core body…”
BackgroundInfluentialSelf-citationComputational approaches for individual circadian phase prediction in field settings
Stone, J. E., Postnova, S., Sletten, T. L., Rajaratnam, S. M. W., & Phillips, A. J. K. (2020) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2020.07.011 · Cited by 46 · see citing works
The role of the circadian clock in cancer hallmark acquisition and immune-based cancer therapeutics
Cash, E. D., Sephton, S. E., Woolley, C. R., Elbehi, M. A., I, A. R., Ekine-Afolabi, B. A., & Kok, V. C. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01919-5 · Cited by 50 · see citing works
“Body temperature monitoring can be performed noninvasively using wrist or thoracic sensors and has proven useful for optimizing the timing of cancer therapy [104, 105].”
BackgroundRelevance of internal time and circadian robustness for cancer patients
Ortiz‐Tudela, E., Innominato, P. F., Rol, M. A., Lévi, F., & Madrid, J. A. (2016) · BMC Cancer · doi:10.1186/s12885-016-2319-9 · Cited by 46 · see citing works
Self-citationReiter, A. M., Sargent, C., & Roach, G. D. (2020) · Chronobiology International · doi:10.1080/07420528.2020.1809443 · Cited by 43 · see citing works
Gil, E. A., Aubert, X. L., & Beersma, D. G. M. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944074 · Cited by 43 · see citing works
Martinez-Nicolas, A., Guaita, M., Santamaría, J., Montserrat, J. M., Rol, M. Á., & Madrid, J. A. (2017) · Sleep · doi:10.1093/sleep/zsx067 · Cited by 42 · see citing works
Self-citationThe Characterization of Biological Rhythms in Mild Cognitive Impairment
Ortiz‐Tudela, E., Martínez-Nicolás, A., Mardomingo, C. D., García‐Herranz, S., Pereda-Pérez, I., Valencia, A., Peraita, H., Venero, C., Madrid, J. A., & Rol, M. A. (2014) · BioMed Research International · doi:10.1155/2014/524971 · Cited by 41 · see citing works
“This parameter has recently been described by Bonmati-Carrion et al. (2014) [21] and has been shown to be very closely correlated with the Dim Light Melatonin Onset (DLMO).”
BackgroundSelf-citationWrist temperature and cortisol awakening response in humans with social jetlag in the North
Polugrudov, A. S., Panev, A. S., Смирнов, В. В., Paderin, N., Borisenkov, M. F., & Popov, S. V. (2016) · Chronobiology International · doi:10.3109/07420528.2016.1168829 · Cited by 40 · see citing works
Diet, Physical Activity, and Daylight Exposure Patterns in Night-Shift Workers and Day Workers
van de Langenberg, D., Vlaanderen, J. J., Dollé, M. E. T., Rookus, M. A., van Kerkhof, L. W. M., & Vermeulen, R. C. H. (2018) · Annals of Work Exposures and Health · doi:10.1093/annweh/wxy097 · Cited by 40 · see citing works
Martínez‐Cayuelas, E., Gavela‐Pérez, T., Rodrigo-Moreno, M., Merino-Andreu, M., Vales‐Villamarín, C., Pérez-Nadador, I., Garcés, C., & Soriano‐Guillén, L. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.813692 · Cited by 38 · see citing works
Dunster, G. P., Hua, I., Grahe, A., Fleischer, J., Panda, S., Wright, K. P., Vetter, C., Doherty, J. H., & de la Iglesia, H. O. (2022) · Journal of Pineal Research · doi:10.1111/jpi.12843 · Cited by 40 · see citing works
Relationship between Human Pupillary Light Reflex and Circadian System Status
Bonmatí‐Carrión, M., Hild, K., Isherwood, C., Sweeney, S. J., Revell, V. L., Skene, D. J., Rol, M. A., & Madrid, J. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162476 · Cited by 39 · see citing works
Self-citationCircadian rest-activity patterns in bipolar disorder and borderline personality disorder
McGowan, N. M., Goodwin, G. M., Bilderbeck, A. C., & Saunders, K. E. A. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0526-2 · Cited by 37 · see citing works
McGowan, N. M., Goodwin, G. M., Bilderbeck, A. C., & Saunders, K. E. A. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13148 · Cited by 36 · see citing works
“Activity assessed in this manner is a validated measure of circadian phase predicting the circadian rhythm of melatonin secretion (27).”
BackgroundOntogeny and aging of the distal skin temperature rhythm in humans
Batinga, H., Martínez-Nicolás, A., Moreno, M. Z., Sánchez‐Solís, M., Larqué, E., Mondéjar, M. T., Moreno‐Casbas, T., García‐García, F. J., Campos, M., Rol, M. A., et al. (2015) · AGE · doi:10.1007/s11357-015-9768-y · Cited by 36 · see citing works
“…(DST) has recently been proposed as a noninvasive, robust, comfortable, and easy-to-register tool for CS assessment (Blazquez et al. 2012; Bonmati-Carrion et al. 2014; Kräuchi 2002; Kräuchi et al. 2005; Martinez-Nicolas et al. 2013, 2014; Romejin and Van Someren 2011; Zornoza-Moreno et…”
Self-citationGeneralizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions
Stone, J. E., Phillips, A. J. K., Ftouni, S., Magee, M., Howard, M. E., Lockley, S. W., Sletten, T. L., Anderson, C., Rajaratnam, S. M. W., & Postnova, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-47311-4 · Cited by 34 · see citing works
Evening physical activity alters wrist temperature circadian rhythmicity
Rubio-Sastre, P., Gómez-Abellán, P., Martínez-Nicolás, A., Ordovás, J. M., Madrid, J. A., & Garaulet, M. (2013) · Chronobiology International · doi:10.3109/07420528.2013.833215 · Cited by 34 · see citing works
Self-citationRodríguez-Morilla, B., Madrid, J. A., Molina, E., Pérez‐Navarro, J., & Correa, Á. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00688 · Cited by 32 · see citing works
“Furthermore, wrist temperature is more closely related than core temperature to sleepiness and sleep onset (Kräuchi et al., 2005), and shows high correlation between the evening increase and the DLMO (Bonmati-Carrion et al., 2014).”
BackgroundSelf-citationMachine learning estimation of human body time using metabolomic profiling
Woelders, T., Revell, V. L., Middleton, B., Ackermann, K., Kayser, M., Raynaud, F. I., Skene, D. J., & Hut, R. A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2212685120 · Cited by 31 · see citing works
Self-citationBrown, L. S., Hilaire, M. A. S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Sano, A., Czeisler, C. A., Doyle, F. J., & Klerman, E. B. (2021) · Journal of Pineal Research · doi:10.1111/jpi.12745 · Cited by 30 · see citing works
The clock is ticking. Ageing of the circadian system: From physiology to cell cycle
Terzibasi-Tozzini, E., Martínez-Nicolás, A., & Lucas-Sánchez, A. (2017) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2017.06.011 · Cited by 32 · see citing works
Ballester, P., Martínez, M. J., Inda, M., Javaloyes, A., Richdale, A., Muriel, J., Belda, C., Toral, N., Morales, D., Fernandez, E., et al. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119864968 · Cited by 21 · see citing works
Sleep Problems and Circadian Functioning in Children and Adolescents With Autism Spectrum Disorder.
Martínez‐Cayuelas, E., Rodríguez-Morilla, B., Soriano-Guillén, L., Merino-Andreu, M., Moreno-Vinués, B., & Gavela-Pérez, T. (2021) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2021.09.009 · Cited by 30 · see citing works
Circadian system heritability as assessed by wrist temperature: A twin study
Lόpez-Mínguez, J., Ordoñana, J. R., Sánchez-Romera, J. F., Madrid, J. A., & Garaulet, M. (2014) · Chronobiology International · doi:10.3109/07420528.2014.955186 · Cited by 27 · see citing works
“It has been previously demonstrated that WT phase indexes are capable of accurately detecting the phase of the circadian system in subjects recorded under normal living conditions as compared to DLMO (Bonmati-Carrion et al., 2014).”
BackgroundMethodInfluentialSelf-citationBonmati-Carrion, M. A., Baño-Otalora, B., Madrid, J. A., & Rol, M. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-08691-7 · Cited by 26 · see citing works
Self-citationMerikanto, I., Kantojärvi, K., Partonen, T., Pesonen, A., & Paunio, T. (2021) · Sleep Medicine · doi:10.1016/j.sleep.2021.01.054 · Cited by 24 · see citing works
Physical activity, and not fat mass is a primary predictor of circadian parameters in young men
Tranel, H. R., Schroder, E. A., England, J., Black, W. S., Bush, H., Hughes, M. E., Esser, K. A., & Clasey, J. L. (2015) · Chronobiology International · doi:10.3109/07420528.2015.1043011 · Cited by 22 · see citing works
“Decreases in activity, changes in body position and increases in declared sleep propensity were delayed with respect to increases in dim light melatonin (Bonmati-Carrion et al., 2014; Corbalán-Tutau et al., 2011; Gompper et al., 2010; Kripke et al., 2005; Morgan et al., 1998; Nováková et al., 2013; Sarabia et al., 200…”
BackgroundArgüelles-Prieto, R., Bonmatí‐Carrión, M., Rol, M. A., & Madrid, J. A. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00822 · Cited by 22 · see citing works
“…and position provides a reliable evaluation of circadian system status, since it includes a variable with an endogenous component (skin temperature) but also variables reactive to behavioral demands (motor activity and body position) (Ortiz-Tudela et al., 2010, 2014; Bonmati-Carrion et al., 2014b).”
BackgroundInfluentialSelf-citationAdán, A., Marquez-Arrico, J. E., Río-Martínez, L., Navarro, J. F., & Martínez-Nicolás, A. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01560-7 · Cited by 23 · see citing works
“DST measurement has shown validity in detecting the sleep–wake [12] cycle, ability to discern among the three circadian typologies [13] and its stable phase relationship with melatonin secretion pattern [14].”
BackgroundMethodRodríguez-Morilla, B., Madrid, J. A., Molina, E., & Correa, Á. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00997 · Cited by 20 · see citing works
Self-citationLiving Without Temporal Cues: A Case Study
Bonmatí‐Carrión, M., Revell, V. L., Cook, T. J., Welch, T. R. E., Rol, M. A., Skene, D. J., & Madrid, J. A. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00011 · Cited by 20 · see citing works
Self-citationGombert, M., Martín-Carbonell, V., Arboledas, G. P., Carrasco‐Luna, J., Carrasco‐García, Á., & Codoñer‐Franch, P. (2021) · Nutrients · doi:10.3390/nu13103629 · Cited by 20 · see citing works
Morningness-eveningness and seasonality
Jankowski, K. S. (2016) · Biological Rhythm Research · doi:10.1080/09291016.2016.1263001 · Cited by 23 · see citing works
“A study in which suspected SAD was confirmed by a specialist and circadian functions was measured using a range of sophisticated techniques and indicators (e.g. actigraphy, dim light melatonin onset and/or morning cortisol levels; Bonmati-Carrion et al. 2014) would consolidate the presented results and verify whether…”
MethodPrecision Medicine in Circadian Rhythm Sleep–Wake Disorders: Current State and Future Perspectives
Keijzer, H., Snitselaar, M. A., Smits, M. G., Spruyt, K., Zee, P. C., Ehrhart, F., & Curfs, L. (2017) · Personalized Medicine · doi:10.2217/pme-2016-0079 · Cited by 19 · see citing works
Rodríguez-Morilla, B., Estivill, E., Estivill, C., Albares, J. B., Segarra, F., Correa, Á., Campos, M., Rol, M. A., & Madrid, J. A. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01318 · Cited by 19 · see citing works
“…as sleep fragmentation or short sleep duration, apart from contributing to excessive daytime sleepiness, affect the amplitude of other rhythms (Martinez-Nicolas et al., 2011) and alter the balance between homeostatic and circadian processes involved in sleep–wake regulation (Borbély et al., 2016).”
BackgroundSelf-citationTai, Y., Obayashi, K., Yamagami, Y., & Saeki, K. (2023) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10590 · Cited by 18 · see citing works
Nishi, T., Saeki, K., Obayashi, K., Miyata, K., Tone, N., Tsujinaka, H., Yamashita, M., Masuda, N., Mizusawa, Y., Okamoto, M., et al. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-007930 · Cited by 18 · see citing works
“76).(68) Wrist skin temperature will be measured on the inside of the wrist, near the radial artery of the non-”
BackgroundBonmatí‐Carrión, M., Middleton, B., Revell, V. L., Skene, D. J., Rol, M. A., & Madrid, J. A. (2015) · Chronobiology International · doi:10.3109/07420528.2015.1016613 · Cited by 18 · see citing works
“Alternative methods based on simple changes in tilt position have been previously explored (Bonmati-Carrion et al., 2013; Ortiz-Tudela et al., 2010) but they have not yet been validated for chronobiological assessment by comparing them with another wellestablished actigraphy method.”
MethodSelf-citationCapella, M. D. M., Martinez-Nicolas, A., & Adan, A. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00373 · Cited by 17 · see citing works
Martínez‐Cayuelas, E., Moreno-Vinués, B., Pérez-Sebastián, I., Gavela-Pérez, T., Camacho, G. D.-R., Garcés, C., & Soriano-Guillén, L. (2024) · Autism · doi:10.1177/13623613241254594 · Cited by 18 · see citing works
“Studies using MCA devices have reported that the evening increase in WT shows a high correlation with dim light melatonin onset, preceding the rise in melatonin (Bonmati-Carrion et al., 2014).”
InfluentialSilva, A. C. P. E., dos Santos, M. J., Gitaí, D. L. G., Coelho, J. A. P. D. M., & de Andrade, T. G. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.07.138 · Cited by 17 · see citing works
Nesbitt, A. D., & Dijk, D. (2014) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000000095 · Cited by 16 · see citing works
Demeuse, J., Calaprice, C., Huyghebaert, L., Rechchad, M., Peeters, S. D., Cavalier, E., & Goff, C. M. L. (2023) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.3c00021 · Cited by 14 · see citing works
Bonmatí‐Carrión, M., Santhi, N., Atzori, G., Mendis, J. R., Kaduk, S. I., Dijk, D., & Archer, S. N. (2024) · npj Microgravity · doi:10.1038/s41526-024-00387-3 · Cited by 14 · see citing works
“Besides,theaveragetimingofourMOn(21:16to22:12)iswithin the normal range of previously obtained DLMO timings 52 – 54 .”
InfluentialIntegrating wearable data into circadian models
Hannay, K. M., & Moreno, J. P. (2020) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2020.08.001 · Cited by 13 · see citing works
Would you allow a sleepy surgeon operate on you? A narrative review.
Whelehan, D. F., Alexander, M., & Ridgway, P. (2020) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2020.101341 · Cited by 11 · see citing works
Castaldo, R., Chappell, M. J., Byrne, H. M., Innominato, P. F., Hughes, S., Pescapè, A., & Pecchia, L. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102386 · Cited by 13 · see citing works
“These results confirmed that activity level shows a robust circadian pattern [30], reinforcing the idea that motor activity is generally high during the day and decreases during the evening [28 – 30], when a rise of melatonin levels is expected.”
BackgroundChronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock
Pagán, P., Torrente, M., Campos, M., Provencio, M., Madrid, J. A., Franco, F., Morilla, B. R., Cantos, B., Sousa, P., Martínez-Madrid, M. J., et al. (2022) · Current Oncology Reports · doi:10.1007/s11912-021-01158-z · Cited by 13 · see citing works
Self-citationAcosta, F. M., Martínez‐Téllez, B., Blondin, D. P., Haman, F., Rensen, P. C. N., Elvira, J. M. L., Martínez-Nicolás, A., & Ruiz, J. R. (2019) · Journal of Biological Rhythms · doi:10.1177/0748730419865400 · Cited by 13 · see citing works
“This is supported by the fact (among others) that an increase in DST coincides with the onset of the release of dim-light melatonin (Bonmati-Carrion et al., 2014) and that it may lead to vasodilation (inducing heat loss) and an eventual fall in core body temperature that helps initiate sleep (Kräuchi and Wirz-Justice,…”
BackgroundMammalian NREM and REM sleep: Why, when and how
Rial, R. V., Akaârir, M., Cañellas, F., Barceló, P., Díaz, J. Á. R., Martin-Reina, A., Gamundı́, A., & Nicolau, M. C. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105041 · Cited by 11 · see citing works
Zerón-Rugerio, M. F., Zaragozá, M. C., Domingo, J. C., Sentañes, R. S., Alegre, J., Castro‐Marrero, J., & Cambras, T. (2024) · Chronobiology International · doi:10.1080/07420528.2024.2380020 · Cited by 11 · see citing works
Saeki, K., Obayashi, K., Nishi, T., Miyata, K., Maruoka, S., Ueda, T., Okamoto, M., Hasegawa, T., Matsuura, T., Tone, N., et al. (2014) · Trials · doi:10.1186/1745-6215-15-514 · Cited by 10 · see citing works
Circadian rhythms measured by actigraphy during oncological treatments: a systematic review
Huang, C., Madsen, M. T., & Gögenür, I. (2015) · Biological Rhythm Research · doi:10.1080/09291016.2015.1004840 · Cited by 10 · see citing works
“Preliminary studies applying integrated circadian variable derived from both skin temperature and activity showed promising results (Ortiz-Tudela et al. 2010; Bonmati-Carrion et al. 2014), but for now, the actigraphy remains the most suitable and proven method for larger clinical populations.”
MethodAdamsson, M., Laike, T., & Morita, T. (2018) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1080/15502724.2017.1391101 · Cited by 11 · see citing works
“…for explaining the non-image-forming effects of light radiation as well as for generating new research questions that can be further studied in controlled laboratory experiments (Bonmati-Carrion et al. 2014; Figueiro and Rea 2016; Kolodyazhniy et al. 2012; Lucas et al. 2014; Miller et al. 2010).”
BackgroundLiving at the Wrong Time: Effects of Unmatching Official Time in Portugal and Western Spain
Bonmatí‐Carrión, M., Casado‐Ramírez, E., Moreno‐Casbas, T., Campos, M., Madrid, J. A., & Rol, M. A. (2022) · Biology · doi:10.3390/biology11081130 · Cited by 9 · see citing works
Self-citationArgüelles-Prieto, R., Madrid, J. A., Rol, M. A., & Bonmatí‐Carrión, M. (2022) · Biology · doi:10.3390/biology11111584 · Cited by 6 · see citing works
Self-citationAdán, A., Navarro, J. F., & on behalf of ADDISCHRONO Group (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11071846 · Cited by 7 · see citing works
Circadian Phase Prediction From Non-Intrusive and Ambulatory Physiological Data
Suarez, A., Núñez, F., & Rodriguez-Fernández, M. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3019789 · Cited by 7 · see citing works
“position, known as TAP [24], but all these models were linear regressions and not multivariate regression models similar to in the present work.”
BackgroundMethodResultInfluentialWhat Wrist Temperature Tells Us When We Sleep Late: A New Perspective of Sleep Health
Wei, J., Zhang, J., & Boger, J. N. (2018) · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · doi:10.1109/smartworld.2018.00145 · Cited by 5 · see citing works
“standard phase marker CBT and DLMO [15], [16].”
BackgroundMethodInfluentialCircadian Timing: From Genetics to Behavior
Agostino, P. V., Bussi, I. L., & Caldart, C. S. (2018) · BRILL eBooks · doi:10.1163/9789004280205_002 · Cited by 5 · see citing works
Llenas, A., Hurlbert, A. C., Lam, F., Manudhane, R., Gupta, G., Giddings, J., & Carreras, J. (2019) · Quadrennial Session of the International Commission on Illumination (CIE Session) · doi:10.25039/x46.2019.pp29 · Cited by 5 · see citing works
The Light–Eye–Brain Axis: Neurobiological Links Between Mood Disorders and Myopia—A Narrative Review
Li, C.-Y., Song, Q.-Q., Xu, W., Li, X.-Y., Huang, Y., Wang, N.-L., & Li, S. (2026) · Ophthalmology and Therapy · doi:10.1007/s40123-026-01315-2 · Cited by 6 · see citing works
Haghayegh, S., Parker, R. A., Montano, M. A., Katz, I. T., Hu, K., & Li, P. (2025) · SLEEP Advances · doi:10.1093/sleepadvances/zpaf055 · Cited by 4 · see citing works
“Previous research has shown moderate corr elations between rest-activity phase measures and endogenous circadian phase markers, such as DLMO [13], supporting the use of actigraphy-derived measures as practical proxies for circadian timing in large epidemiological studies where direct measurement of…”
Towards Classifying Human Circadian Rhythm Using Multiple Modalities
Riani, K., Sharak, S., Das, K., Abouelenien, M., Burzo, M. G., Mihalcea, R. F., Elson, J., Maranville, C. W., Prakah-Asante, K. O., & Manzoor, W. A. (2021) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii52823.2021.9597391 · Cited by 4 · see citing works
A non-parametric model: free analysis of actigraphic recordings of acute insomnia patients
Marín-García, A., Fossión, R., Müller, M., Ríos-Herrera, W. A., & Rivera, A. L. (2022) · Royal Society Open Science · doi:10.1098/rsos.210463 · Cited by 4 · see citing works
“Other components also present a significant phase differences; however, correct interpretation of these differences should be accompanied by the simultaneous study of several biological markers such as blood pressure, heart rate, skin temperature among others, in order to provide a clear association between physiologi…”
Martínez‐Cayuelas, E., Merino-Andreu, M., Pozo, R. L.-D., Gavela‐Pérez, T., Garcés, C., & Soriano‐Guillén, L. (2023) · Journal of Child Neurology · doi:10.1177/08830738231173606 · Cited by 4 · see citing works
The Pineal Gland and Melatonin
Klein, D. C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-18907-1.00019-6 · Cited by 4 · see citing works
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales
Wan, C., McHill, A. W., Klerman, E. B., & Sano, A. (2021) · ACM Transactions on Computing for Healthcare · doi:10.1145/3447516 · Cited by 4 · see citing works
Actigraphic and melatonin alignment in older adults with varying dementia risk
Schrire, Z. M., Gordon, C. J., Palmer, J. R., Murray, J. M., Hickie, I. B., Rogers, N. L., Lewis, S. J. G., Terpening, Z., Pye, J., Naismith, S. L., et al. (2022) · Chronobiology International · doi:10.1080/07420528.2022.2144744 · Cited by 4 · see citing works
Delayed sleep phase disorder during the COVID-19 pandemic and its health implications
Jiménez‐Correa, U., Bonilla, N., Álvarez-García, H. B., Alonzo, G. M., Barrera-Medina, A., Santana-Miranda, R., Poblano, A., & Agudelo, H. A. M. (2023) · CNS Spectrums · doi:10.1017/s109285292300007x · Cited by 4 · see citing works
Integral Analysis of Circadian Rhythms
Vicente-Martínez, J., González-Romero, P., Pagán, P., Martínez-Nicolás, A., Madrid, J. A., Rol, M. A., & Bonmatí‐Carrión, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-32729-2_9 · Cited by 3 · see citing works
Self-citationAssessment of time window for sleep onset on the basis of continuous wrist temperature measurement
Partonen, T., Haukka, J. K., Kuula, L., & Pesonen, A. (2020) · Biological Rhythm Research · doi:10.1080/09291016.2020.1802160 · Cited by 3 · see citing works
Fast tuning of observer-based circadian phase estimator using biometric data
Ike, C. O., Wen, J. T.-Y., Oishi, M., Brown, L. K., & Julius, A. A. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12500 · Cited by 3 · see citing works
“With the aim of eliminating the pitfalls of melatonin assessment and similarly invasive genetic assay techniques, recent research has focused on the use of easily accessible biometric data, most prominently activity levels, heart rate, skin temperature, and light exposure [11, 12, 13].”
MethodCompensating for Sensor Error in the Model Predictive Control of Circadian Clock Phase
Brown, L. S., Klerman, E. B., & Doyle, F. J. (2019) · IEEE Control Systems Letters · doi:10.1109/lcsys.2019.2919438 · Cited by 3 · see citing works
“1 h [13], [14], [15], [16].”
Colitta, A., & Faraguna, U. (2025) · Journal of Pineal Research · doi:10.1111/jpi.70085 · Cited by 2 · see citing works
“More complex mathematical methods to predict DLMO which require combinations of the afore-mentioned tools have been proposed, reaching moderate ‐ to ‐ high accuracy [8, 10, 11], albeit remaining unemployed in most clinical settings.”
InfluentialBorges, M. A., Alves, D. A. G., & Guimarães, L. H. D. C. T. (2021) · Revista Neurociências · doi:10.34024/rnc.2021.v29.12290 · Cited by 8 · see citing works
Non-Contact Based Modeling of Enervation
Riani, K., Sharak, S., Abouelenien, M., Burzo, M. G., Mihalcea, R. F., Elson, J., Maranville, C. W., Prakah-Asante, K. O., & Manzoor, W. A. (2023) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg57933.2023.10042529 · Cited by 2 · see citing works
“Existing work in this area mainly focused on contact-based physiological data analysis [6], [23].”
BackgroundMartínez-Alarcón, L., Martínez-Nicolás, A., Jover-Aguilar, M., López‐López, V., Alconchel, F., Ríos, A., Madrid, J. A., Rol, M. A., Ramírez, P., & Ramis, G. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13154529 · Cited by 2 · see citing works
“This statement is based on its strong endogenous component [19–24], ease of monitoring [25–28], ability to assess the circadian phase [20,23], and validation against polysomnography [15,29].”
BackgroundSelf-citationPhysiologic Methods of Assessment Relevant to Circadian Rhythm Sleep-Wake Disorders
LaBarbera, V. A., & Sharkey, K. M. (2020) · Springer eBooks · doi:10.1007/978-3-030-43803-6_4 · Cited by 2 · see citing works
Wei, J., & Boger, J. N. (2019) · doi:10.4108/eai.20-5-2019.2282879 · Cited by 2 · see citing works
Evaluating the Accuracy of Declared Eating Schedules by Continuous Glucose Monitoring
González-Romero, P., Madrid, J. A., Pagán, P., & Rol, M. A. (2026) · Nutrients · doi:10.3390/nu18050772 · Cited by 1 · see citing works
Self-citationMarchesano, M., Silva, A. C., & Tassino, B. (2026) · Journal of Biological Rhythms · doi:10.1177/07487304261428332 · Cited by 1 · see citing works
“As validated elsewhere, acrophase, L5c, and M10c were considered as proxies of the circadian phase (Bonmati-Carrion et al., 2014; Mitchell et al., 2017; Ruiz et al., 2020).”
La hora de nuestro cuerpo. Monitorización Ambulatoria Circadiana
Martínez-Nicolás, A., & Manzanera, A. L. B. (2015) · Digitum: Institutional Repository of the University of Murcia (University of Murcia) · Cited by 1 · see citing works
- Authors
- Bonmati-Carrion, M. A., Middleton, B., Revell, V., Skene, D. J., Rol, M. A., & Madrid, J. A.
- Affiliations
- University of Surrey (GB)
- Universidad de Murcia (ES)
- Corresponding author
- Rol, M. A.
- Venue
- Chronobiology International
- Publisher
- Informa UK Limited
- Published
- 2013-10-28
- Volume
- 31
- Issue
- 1
- Pages
- 37-51
- ISSN
- 0742-0528 (ISSN-L)
- 1525-6073
- OpenAlex
- W2082096003
- Cited by
- 116
- References
- 76
- Citations by year
- 2026: 11 · 2025: 6 · 2024: 5 · 2023: 11 · 2022: 10 · 2021: 9 · 2020: 11 · 2019: 11 · 2018: 11 · 2017: 7 · 2016: 6 · 2015: 10 · 2014: 6 · 2013: 2
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chronobiology International (publishedVersion)
- PubMed (publishedVersion)
- Hispana (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- circadian phase, dim light melatonin onset, ambulatory monitoring, motor activity, posture, sleep propensity, circadian misalignment, cancer chronotherapy, phototherapy, sleep diary
- MeSH terms
- Adult, Body Temperature, Circadian Rhythm, Female, Humans, Light, Male, Melatonin, Surveys and Questionnaires, Radioimmunoassay, Saliva, Sleep, Monitoring, Ambulatory, Young Adult, Actigraphy
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