Morningness-eveningness and anxiety among adults: A matter of sex/gender?

People’s health and well-being may be determined by the interaction of endogenous and external rhythms. Late chronotypes should become anxious because of the demand to perform tasks in a society oriented preferentially to morning work. In this study, we examined the relationship between morningness and anxiety in 559 adults (age range 40–63 years) from rural environments who completed morningness–eveningness and anxiety measures. Results indicated a negative correlation between morningness and anxiety in women, but not in men, suggesting the relevance of gender-related variables. When demographic characteristics were considered, women’s anxiety was predicted by low educational level and eveningness, whereas men’s anxiety was predicted by being single, having children, being unemployed, and eveningness. Some hypotheses of gender-related social roles are postulated as a possible explanation of the results.

Test-Retest Reliability of Resting-State Magnetoencephalography Power in Sensor and Source Space

Several studies have reported changes in spontaneous brain rhythms that could be used asclinical biomarkers or in the evaluation of neuropsychological and drug treatments in longitudinal studies using magnetoencephalography (MEG). There is an increasing necessity to use these measures in early diagnosis and pathology progression; however, there is a lack of studies addressing how reliable they are. Here, we provide the first test-retest reliability estimate of MEG power in resting-state at sensor and source space. In this study, we recorded 3 sessions of resting-state MEG activity from 24 healthy subjects with an interval of a week between each session. Power values were estimated at sensor and source space with beamforming for classical frequency bands: delta (2–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), low beta (13–20 Hz), high beta (20–30 Hz), and gamma (30–45 Hz). Then, test-retest reliability was evaluated using the intraclass correlation coefficient (ICC). We also evaluated the relation between source power and the within-subject variability. In general, ICC of theta, alpha, and low beta power was fairly high (ICC > 0.6) while in delta and gamma power was lower. In source space, fronto-posterior alpha, frontal beta, and medial temporal theta showed the most reliable profiles. Signal-to-noise ratio could be partially responsible for reliability as low signal intensity resulted inhigh within-subject variability, but also the inherent nature of some brain rhythms in resting-state might be driving these reliability patterns. In conclusion, our results described the reliability of MEG power estimates in each frequency band, which could be considered in disease characterization or clinical trials.