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Individuals may show different responses to stressful events. Here, we investigate the neurobiological basis of stress resilience, by showing that neural responsitivity of the noradrenergic locus coeruleus (LC-NE) and associated pupil responses are related to the subsequent change in measures of anxiety and depression in response to prolonged real-life stress. We acquired fMRI and pupillometry data during an emotional-conflict task in medical residents before they underwent stressful emergency-room internships known to be a risk factor for anxiety and depression. The LC-NE conflict response and its functional coupling with the amygdala was associated with stress-related symptom changes in response to the internship. A similar relationship was found for pupil-dilation, a potential marker of LC-NE firing. Our results provide insights into the noradrenergic basis of conflict generation, adaptation and stress resilience. Individuals vary considerably in how they are affected by stress. Here, the authors show that the severity of psychopathological symptoms triggered by prolonged real-life stress relate to fMRI-measured responsivity of the human brainstem arousal system and associated pupil responses.

Several types of psychological treatment for posttraumatic stress disorder (PTSD) are considered well established and effective, but evidence of their long-term efficacy is limited. This systematic review and meta-analysis aimed to investigate the long-term outcomes across psychological treatments for PTSD. MEDLINE, Cochrane Library, PTSDpubs, PsycINFO, PSYNDEX, and related articles were searched for randomized controlled trials with at least 12 months of follow-up. Twenty-two studies (N = 2638) met inclusion criteria, and 43 comparisons of cognitive behavioral therapy (CBT) were available at follow-up. Active treatments for PTSD yielded large effect sizes from pretest to follow-up and a small controlled effect size compared with non-directive control groups at follow-up. Trauma-focused treatment (TFT) and non-TFT showed large improvements from pretest to follow-up, and effect sizes did not significantly differ from each other. Active treatments for comorbid depressive symptoms revealed small to medium effect sizes at follow-up, and improved PTSD and depressive symptoms remained stable from treatment end to follow-up. Military personnel, low proportion of female patients, and self-rated PTSD measures were associated with decreased effect sizes for PTSD at follow-up. The findings suggest that CBT for PTSD is efficacious in the long term. Future studies are needed to determine the lasting efficacy of other psychological treatments and to confirm benefits beyond 12-month follow-up.

Cognitive models assume that the incomplete integration of a traumatic experience into the autobiographical memory results in typical symptoms associated with post-traumatic stress disorder (PTSD) such as intrusive re-experiencing. Sleep supports the integration of new experiences into existing memory networks through memory consolidation. In fifty-six females, we investigated whether a 90-min daytime nap (n = 33) compared to a wake period (n = 23) after being exposed to an experimental trauma (i.e. a trauma film) prevents PTSD analogue symptoms. Intrusive memories were recorded for seven days using a diary, overall PTSD symptoms were assessed using the Impact of Event Scale (IES-R) and affective response to trauma cues were measured one week after experimental trauma. The two groups did not differ in any of the analogue PTSD symptoms. However, participants obtaining rapid eye movement (REM) sleep in the nap experienced less distressing intrusive memories. Moreover, the duration of REM sleep and slow wave activity was negatively correlated with analogue PTSD symptoms. Our findings suggest that even a short sleep period after experimental trauma can play a protective role in trauma memory formation but only if the nap contains REM sleep. Our data provide additional evidence for a critical role of REM sleep in PTSD development.

Some studies suggest that early psychological treatment is effective in preventing chronic post-traumatic stress disorder (PTSD), but it is as yet unclear how best to identify trauma survivors who need such intervention. This prospective longitudinal study investigated the prognostic validity of acute stress disorder (ASD), of variables derived from a meta-analysis of risk factors for PTSD, and of candidate cognitive and biological variables in predicting chronic PTSD following assault. Assault survivors who had been treated for their injuries at a metropolitan Accident and Emergency (A&E) Department were assessed with structured clinical interviews to establish diagnoses of ASD at 2 weeks (n=222) and PTSD at 6 months (n=205) after the assault. Candidate predictors were assessed at 2 weeks. Most predictors significantly predicted PTSD status at follow-up. Multivariate logistic regressions showed that a set of four theory-derived cognitive variables predicted PTSD best (Nagelkerke R2=0.50), followed by the variables from the meta-analysis (Nagelkerke R2=0.37) and ASD (Nagelkerke R2=0.25). When all predictors were considered simultaneously, mental defeat, rumination and prior problems with anxiety or depression were chosen as the best combination of predictors (Nagelkerke R2=0.47). Questionnaires measuring mental defeat, rumination and pre-trauma psychological problems may help to identify assault survivors at risk of chronic PTSD.

Background: Multisensor fitness trackers offer the ability to longitudinally estimate sleep quality in a home environment with the potential to outperform traditional actigraphy. To benefit from these new tools for objectively assessing sleep for clinical and research purposes, multisensor wearable devices require careful validation against the gold standard of sleep polysomnography (PSG). Naturalistic studies favor validation. Objective: This study aims to validate the Fitbit Charge 2 against portable home PSG in a shift-work population composed of 59 first responder police officers and paramedics undergoing shift work. Methods: A reliable comparison between the two measurements was ensured through the data-driven alignment of a PSG and Fitbit time series that was recorded at night. Epoch-by-epoch analyses and Bland-Altman plots were used to assess sensitivity, specificity, accuracy, the Matthews correlation coefficient, bias, and limits of agreement. Results: Sleep onset and offset, total sleep time, and the durations of rapid eye movement (REM) sleep and non–rapid-eye movement sleep stages N1+N2 and N3 displayed unbiased estimates with nonnegligible limits of agreement. In contrast, the proprietary Fitbit algorithm overestimated REM sleep latency by 29.4 minutes and wakefulness after sleep onset (WASO) by 37.1 minutes. Epoch-by-epoch analyses indicated better specificity than sensitivity, with higher accuracies for WASO (0.82) and REM sleep (0.86) than those for N1+N2 (0.55) and N3 (0.78) sleep. Fitbit heart rate (HR) displayed a small underestimation of 0.9 beats per minute (bpm) and a limited capability to capture sudden HR changes because of the lower time resolution compared to that of PSG. The underestimation was smaller in N2, N3, and REM sleep (0.6-0.7 bpm) than in N1 sleep (1.2 bpm) and wakefulness (1.9 bpm), indicating a state-specific bias. Finally, Fitbit suggested a distribution of all sleep episode durations that was different from that derived from PSG and showed nonbiological discontinuities, indicating the potential limitations of the staging algorithm. Conclusions: We conclude that by following careful data processing processes, the Fitbit Charge 2 can provide reasonably accurate mean values of sleep and HR estimates in shift workers under naturalistic conditions. Nevertheless, the generally wide limits of agreement hamper the precision of quantifying individual sleep episodes. The value of this consumer-grade multisensor wearable in terms of tackling clinical and research questions could be enhanced with open-source algorithms, raw data access, and the ability to blind participants to their own sleep data.

The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics.

Greater loneliness as well as a lack of social connectedness have often been associated with poorer sleep. However, the temporal dynamics and direction of these associations remain unclear. Aim of the current study was to examine bi-directional associations between loneliness/social connectedness and sleep in 48 stress-exposed medical students during their first medical internship, considered a period of heightened stress. We obtained trait-level questionnaire data on loneliness and global sleep completed before and during the internship as well as state-level diary- and wearable-based data on daily changes in social connectedness and sleep collected twice over the period of seven consecutive days, once before and once during the internship. Bi-directional associations among greater loneliness and higher daytime dysfunction on trait-level were identified. In addition, several uni-directional associations between loneliness/social connectedness and sleep were found on trait- and state-level. In sum, findings of this study point at a bi-directional relation among loneliness/social connectedness and sleep, in which variables seem to reciprocally influence each other across longer-term periods as well as on a day-to-day basis.

Recalling positive autobiographical memories has been associated with various positive psychological outcomes, including enhanced mental well-being and self-efficacy. Given the known impact of stress on cognitive functioning, we investigated how momentary stress affects the repeated recall of selected autobiographical mastery memories (e.g., memories of overcoming challenges) in a training to enhance self-efficacy. During this one-week digital training, participants ( N  = 54) were asked to recall mastery memories, and we assessed their momentary stress levels, memory vividness, and recall feasibility using Ecological Momentary Assessment. Analyses using linear mixed-effects models showed that participants reported greater difficulty and less vividness in recalling self-efficacy memories during moments of increased stress, whereas feeling relaxed facilitated recall feasibility and vividness. Though participants who experienced less recall difficulty appeared to benefit more, recall difficulty and vividness did not significantly moderate improvements in self-efficacy. While replication in a larger, more diverse sample is indicated, our findings underscore the importance of considering momentary affect in memory-based mental health interventions. Effects may be particularly pronounced when interventions are applied during the early stages of stress, when stress levels are still relatively low, aligning with the strategy of Just-in-Time Adaptive Interventions. Our study also highlights the potential benefits of combining memory recall practices with relaxation-promoting interventions to enhance mental health outcomes.

A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-response to routine clinical care may help in treatment planning and improve results. A longitudinal sample of N = 239 depressed patients was assessed at admission to multi-modal day clinic treatment, after six weeks, and at discharge. First, patient’s treatment response was modelled by identifying longitudinal trajectories using the Hamilton Depression Rating Scale (HDRS-17). Then, individual items of the HDRS-17 at admission as well as individual patient characteristics were entered as predictors of response/non-response trajectories into the binary classification model (eXtremeGradient Boosting; XGBoost). The model was evaluated on a hold-out set and explained in human-interpretable form by SHapley Additive explanation (SHAP) values. The prediction model yielded a multi-class AUC = 0.80 in the hold-out set. The predictive power for the binary classification yielded an AUC = 0.83 (sensitivity = .80, specificity = .77). Most relevant predictors for non-response were insomnia symptoms, younger age, anxiety symptoms, depressed mood, being unemployed, suicidal ideation and somatic symptoms of depressive disorder. Non-responders to routine treatment for depression can be identified and screened for potential next-generation treatments. Such predictors may help personalize treatment and improve treatment response.

Background The positive influence of physical activities on a person’s physical and mental health has been proven many times. These findings were implemented in the regular exercise therapy offered within psychiatric hospitals in Switzerland. However, after leaving a psychiatric hospital, there are insufficient opportunities for individuals with psychiatric disorders to engage in sports. Therefore, voluntary sports groups for this specific population have been offered in Switzerland by the disability sports systems since 2015. Still, the perspective of individuals with psychiatric disorders as well as perceived barriers and facilitators for participating in these groups have neither been assessed nor included in the design of sports programs. Methods This study consists of 15 semi-structured interviews ( N  = 15) lasting up to one hour each with individuals with psychiatric disorders who participated in voluntary sports groups for this specific population in Switzerland. The results were analyzed employing Thematic Analysis using Nvivo. Results Interviewees named offer-specific (disability-related), emotional (social exchange), and rational motives (health) for their participation in voluntary sports groups for individuals with psychiatric disorders. In addition, intrapersonal (psychological/physical deficits), sociocultural (stigmatization), and structural (unsuitable location) factors were mentioned as possible inhibitors in the context of participation in voluntary sports groups for individuals with psychiatric disorders. Furthermore, participants experienced predominantly positive outcomes from participation. Conclusion Individuals with psychiatric disorders benefit socially, physically, and psychologically from participating in voluntary sports groups for this specific population. However, participation is associated with barriers that need to be minimized in the future. Additionally, a large-scale survey is necessary to validate the results among the population.