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Summary It is well established that individuals differ in their response to sleep loss. However, existing methods to predict an individual's sleep‐loss phenotype are not scalable or involve effort‐dependent neurobehavioural tests. To overcome these limitations, we sought to predict an individual's level of resilience or vulnerability to sleep loss using electroencephalographic (EEG) features obtained from routine night sleep. To this end, we retrospectively analysed five studies in which 96 healthy young adults (41 women) completed a laboratory baseline‐sleep phase followed by a sleep‐loss challenge. After classifying subjects into sleep‐loss phenotypic groups, we extracted two EEG features from the first sleep cycle (median duration: 1.6 h), slow‐wave activity (SWA) power and SWA rise rate, from four channels during the baseline nights. Using these data, we developed two sets of logistic regression classifiers (resilient versus not‐resilient and vulnerable versus not‐vulnerable) to predict the probability of sleep‐loss resilience or vulnerability, respectively, and evaluated model performance using test datasets not used in model development. Consistently, the most predictive features came from the left cerebral hemisphere. For the resilient versus not‐resilient classifiers, we obtained an average testing performance of 0.68 for the area under the receiver operating characteristic curve, 0.72 for accuracy, 0.50 for sensitivity, 0.84 for specificity, 0.61 for positive predictive value, and 3.59 for likelihood ratio. We obtained similar performance for the vulnerable versus not‐vulnerable classifiers. These results indicate that logistic regression classifiers based on SWA power and SWA rise rate from routine night sleep can largely predict an individual's sleep‐loss phenotype. [ABSTRACT FROM AUTHOR]

Previous research shows depression and anxiety are negatively correlated with subjective well-being. Additionally, there is evidence psychological resilience positively influences well-being. The present study explored whether the relationship between depression/anxiety and subjective well-being might also be moderated by aspects of psychological resilience - such that depression and anxiety do not reduce well-being to the same extent in individuals high in psychological resilience traits. Participants from an exploratory sample (N = 236, M age = 23.49) and confirmatory sample (N = 196, M age = 24.99) completed self-report measures of depression, anxiety, well-being, resilience, and hardiness (i.e., CDRISC and DRS-15). As expected, results showed strong negative correlations between anxiety/depression and both well-being and resilience/hardiness, as well as positive correlations between well-being and resilience/hardiness. A significant interaction was also present between both resilience/hardiness and depression/anxiety in predicting well-being in the first sample. Results partially replicated in the confirmatory sample (i.e., for hardiness but not resilience). These findings add to prior work by highlighting hardiness (as measured by the DRS-15), one aspect of psychological resilience, as an important protective factor in mental health. Namely, results suggest individuals with symptoms of affective disorders may remain capable of living subjectively fulfilling lives if they possess traits of psychological resilience such as hardiness., Competing Interests: Competing Interests: None of the authors have any relevant conflicts of interest to disclose.

Socioemotional skills, such as the ability to recognize, understand, and regulate the emotions of self and others, are associated with both physical and emotional health. The present study tested the effectiveness of a recently validated online training program for increasing these emotional skills in adults. In this study, 448 participants (323 female) were randomly assigned to complete this training program or a placebo control program. Among those who completed the training program or placebo ( N = 326), the training program led to improved scores post-training on measures of interoceptive and emotional awareness, mindfulness, emotion recognition, and emotion regulation strategies (e.g., reduced emotion suppression and greater impulse control) relative to placebo. In a smaller group of participants who also completed a 6-month follow-up visit ( N = 94), sustained improvements were observed on several measures in those who completed the training program, while the placebo group instead showed decreased performance. This suggested a potentially protective effect against emotional challenges associated with the COVID-19 pandemic occurring during this time. These results suggest that this online training program shows promise in improving emotional skills relevant to adaptive social and emotional functioning, and that it might be useful as an intervention within at-risk populations and those with emotional disorders associated with reduced application of these skills. (PsycInfo Database Record (c) 2024 APA, all rights reserved).