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Meal Patterns, Physical Activity, Sleep, and Circadian Rhythm
Published in Dale A. Schoeller, Margriet S. Westerterp-Plantenga, Advances in the Assessment of Dietary Intake, 2017
Margriet S. Westerterp-Plantenga, Marta Garaulet
In order to increase the reliability of circadian monitoring, integrated variables obtained from processing individual variables have been recently proposed. For example, the TAP (Thermometry Actimetry body Position) algorithm, proposed by Ortiz-Tudela et al. (2010), is based on integrating, after normalization, the following variables: skin temperature (T), motor activity (A), and body position (P). The first of these variables, skin temperature, is under endogenous control, whereas motor activity is modified voluntarily but it is also under endogenous control. Finally, of the three variables used for the integration, body position is most closely dependent on voluntary control. TAP is modular, thus, it can be amplified by incorporating new variables that complement the information even further. TAP variable permits us not only to determine how the individual’s circadian system functions, but also to infer the sleep–wake rhythm with a precision higher than 90% according to polysomnography recording. This technique constitutes the base of ambulatory circadian monitoring procedure.
Psychometric Properties of the Turkish version of the Morningness - Eveningness Stability Scale improved (MESSi) in Adolescents
Published in Chronobiology International, 2021
Hakan Öğütlü, Sabide Duygu Uygun, Christoph Randler
Although the gold standard methods for detecting chronotypes would be monitoring techniques (e.g., core body temperature and salivary/plasma melatonin levels), these are not used for this purpose in clinical trials. The best noninvasive method of evaluating chronotypes is actimetry, which is a method of examining a person’s activity/rest cycle. A further alternative to actimetry could be in the form of the use of sleep diaries. Despite their subjectivity, the most commonly used method of detecting chronotypes if that of screening with self-report questionnaires, such as the Morningness/Eveningness Scale for Children (MESC) and the Composite Scale of Morningness (CSM), as there are fairly simple and economically cost affective methods (Faßl et al. 2019).
Addressing the Challenges of Recruitment and Retention in Sleep and Circadian Clinical Trials
Published in Behavioral Sleep Medicine, 2020
Stephanie H. Yu, Nicole B. Gumport, Isaac A. Mirzadegan, Yuh-Jang Mei, Kerrie Hein, Allison G. Harvey
Unfortunately, “gold standard” sleep and circadian data collection methods can be burdensome for participants (Farabi, Quinn, & Carley, 2017; Mandrell et al., 2017). For example, actigraphy, which monitors rest and activity cycles, is collected via actimetry sensors worn 24 hours per day, usually in a wristwatch, or actiwatch (Buxton, Nahmod, & Strayer, 2017). Sleep diaries require participants to report daily sleep data that may be difficult to remember (Carney et al., 2012; Jungquist, Pender, Klingman, & Mund, 2015). Measurement of dim light melatonin onset (DLMO, or melatonin secretion in dim light) requires overnight saliva sampling every 30 min in dim light, until 30 min after average bedtime (Kantermann, Sung, & Burgess, 2015).