The influence of acute stress exposure on cognitive reappraisal: a psychophysiological study.

Successful and efficient emotion regulation (ER) is a key mechanism for mental health. However, acute stress may impact the ability to cognitively regulate negative emotions due to its immediate effects on executive functioning. Based on previous studies, we expected that the time at which ER is tested after a stressor might have a decisive influence, with impairments in ER being more pronounced immediately after stress as compared to a later post-stress phase. To investigate such a time-dependent effect of stress on ER, we investigated 50 healthy adults (26 female) who were exposed to either the Trier Social Stress Test (n = 25) or a control condition (n = 25). Afterwards subjects conducted a cognitive ER task during which they were instructed to either regulate (cognitive reappraisal) or passively view neutral and negative visual stimuli. The ER task was divided into an early (0-20 minutes) and a late post-stress phase (20-40 minutes). Salivary cortisol and α-amylase were assessed as markers of the neuroendocrine stress response. Self-reported emotional state, the mean activity of the late positive potential measured via electroencephalogram (EEG), and corrugator electromyographic activity (EMG) were used as indices of ER. While the groups did not differ in the early post-stress phase, our results suggest a stress-related impairment in ER in the late post-stress phase. This effect was evident in all ER outcome variables (subjective rating, EEG, and EMG data). These results suggest a time-specific stress effect on cognitive reappraisal, which would have implications for reappraisal as a possible stress management technique.

Self-report assessment of Positive Appraisal Style (PAS): Development of a process-focused and a content-focused questionnaire for use in mental health and resilience research.

Positive Appraisal Style Theory of Resilience posits that a person's general style of evaluating stressors plays a central role in mental health and resilience. Specifically, a tendency to appraise stressors positively (positive appraisal style; PAS) is theorized to be protective of mental health and thus a key resilience factor. To this date no measures of PAS exist. Here, we present two scales that measure perceived positive appraisal style, one focusing on cognitive processes that lead to positive appraisals in stressful situations (PASS-process), and the other focusing on the appraisal contents (PASS-content). For PASS-process, the items of the existing questionnaires Brief COPE and CERQ-short were analyzed in exploratory and confirmatory factor analyses (EFA, CFA) in independent samples (N = 1157 and N = 1704). The resulting 10-item questionnaire was internally consistent (α = .78, 95% CI [.86, .87]) and showed good convergent and discriminant validity in comparisons with self-report measures of trait optimism, neuroticism, urgency, and spontaneity. For PASS-content, a newly generated item pool of 29 items across stressor appraisal content dimensions (probability, magnitude, and coping potential) were subjected to EFA and CFA in two independent samples (N = 1174 and N = 1611). The resulting 14-item scale showed good internal consistency (α = .87, 95% CI [.86, .87]), as well as good convergent and discriminant validity within the nomological network. The two scales are a new and reliable way to assess self-perceived positive appraisal style in large-scale studies, which could offer key insights into mechanisms of resilience.

Digital interventions to promote psychological resilience: a systematic review and meta-analysis.

Societies are exposed to major challenges at an increasing pace. This underscores the need for preventive measures such as resilience promotion that should be available in time and without access barriers. Our systematic review summarizes evidence on digital resilience interventions, which have the potential to meet these demands. We searched five databases for randomized-controlled trials in non-clinical adult populations. Primary outcomes were mental distress, positive mental health, and resilience factors. Multilevel meta-analyses were performed to compare intervention and control groups at post-intervention and follow-up assessments. We identified 101 studies comprising 20,010 participants. Meta-analyses showed small favorable effects on mental distress, SMD = -0.24, 95% CI [-0.31, -0.18], positive mental health, SMD = 0.27, 95% CI [0.13, 0.40], and resilience factors, SMD = 0.31, 95% CI [0.21, 0.41]. Among middle-aged samples, older age was associated with more beneficial effects at follow-up, and effects were smaller for active control groups. Effects were comparable to those of face-to-face interventions and underline the potential of digital resilience interventions to prepare for future challenges.

Adverse competition-related cognitions questionnaire (ACCQ): Development and preliminary validation of a measure identifying different factors of athletes' cognitions related to competitions.

This research project presents the development and preliminary validation of a German version of the Adverse Competition-related Cognitions Questionnaire (ACCQ) and comprises four studies. In Study 1, 101 athletes and 124 coaches from different team and individual sports generated a large pool of cognitions, which was reduced to an initial item pool of 54 cognitions through a multi-step procedure with different experts. In Study 2, the underlying factor structure of the questionnaire was examined by an exploratory factor analysis (N2 = 348), which revealed six factors (athletic comparison, coach devaluation, devaluation of one's own performance, appreciation by coach and family, inner resistance against competitions, and general exhaustion) with 26 items retained. Subsequently, in Study 3, the results were re-examined with a confirmatory factor analysis (CFA, N3 = 419; CFI = 0.91, RMSEA = 0.06, SRMR = 0.06). In addition, preliminary support for the construct validity (i.e., convergent, divergent, and concurrent validity) of the ACCQ was obtained by examining associations among the ACCQ subscales and theoretical correlates such as social comparison, cognitive interference, irrational performance beliefs, and fear of negative evaluation. In Study 4, a second CFA (N4 = 153; CFI = 0.89, RMSEA = 0.06, SRMR = 0.07) was conducted to test the identified 6-factor solution in a sample of high-performance competitive athletes. With its broad range of factors, the ACCQ provides a useful and valid measure for assessing different adverse competition-related cognitions, offering a wide range of potential applications in research and sport psychology practice.

Regulating emotions with experience - the effectiveness of reappraisal inventiveness depends on situational familiarity.

BACKGROUND AND OBJECTIVES: Previous research identified cognitive reappraisal as an adaptive emotion regulation strategy. However, theories on emotion regulation flexibility suggest that reappraisal effectiveness (RE) may depend on an individual's familiarity with stressors. In this study, we expect high reappraisal inventiveness (RI), i.e., the generation of many and categorically different reappraisals, to increase RE for individuals with low situational familiarity. Individuals with high situational familiarity, however, would be more effective with low RI. DESIGN: A total of 148 participants completed the Script-based Reappraisal Task, in which they were presented with fear- and anger-eliciting scripts. Depending on trial type, participants were instructed to reappraise (reappraisal-trial) or react naturally (control-trial) to the scripts. After each trial, participants indicated affective states and reappraisals. We assessed RI and calculated RE-scores as difference between affect ratings in reappraisal- and control-trials for valence and arousal. Finally, participants rated the familiarity with each situation. RESULTS: The results indicated a significant moderating effect of situational familiarity on the relationship between RI and RE-valence (not RE-arousal). The moderation was mainly driven by a detrimental effect of RI for individuals with high situational familiarity. CONCLUSIONS: Our results hint at the importance of individual experience with emotional content in the research of cognitive reappraisal.

Not All Injuries Are the Same: Different Patterns in Sports Injuries and Their Psychosocial Correlates.

Sports injuries are ubiquitous and can have far-reaching consequences for athletes (e.g., health, performance). Previous studies have examined various psychosocial influencing factors (e.g., stress), but have mostly focused on only one or two injury characteristics (e.g., frequency), neglecting the broader injury pattern. Thus, the present study aimed to obtain a more differentiated picture of potentially different injury patterns and related profiles of psychosocial factors. We investigated a sample of 213 athletes from a cross-sectional online study. Current injury status, frequency, severity, chronicity, medical treatment, and rehabilitation measures were subjected to cluster analysis indicating a 3-cluster solution with predominantly chronically injured athletes (n = 54), athletes not seeking treatment (n = 62), and athletes utilizing medical treatment and rehabilitation (n = 97). Building on the Model of Stress and Athletic Injury, we subsequently conducted three multivariate analyses of variance (MANOVAs) to examine whether the obtained clusters differed in terms of personality factors (e.g., athletic identity), history of stressors (e.g., life events), and coping resources (e.g., self-compassion). We observed significant differences in all three categories of psychosocial variables implying different intervention possibilities for different injury patterns in the future.

Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata.

A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this context, we present two studies investigating the relationship between implicit and explicit interpretation bias and depression- and anxiety-related state and trait variables. In the first study, we conducted an implicit ambiguous cue-conditioning task (ACCT) with 113 young, healthy individuals. In the second study, we utilized an explicit ambiguous social situations task (DUCTUS) with 113 young, healthy individuals. Additionally, a subsample of 46 participants completed both the ACCT and DUCTUS tasks to directly relate the two bias scores obtained from the implicit and explicit assessment methods, respectively. In the first study, regression analysis revealed no significant predictors for the implicit interpretation bias. However, in the second study, the explicit negative interpretation bias was significantly predicted by female gender, depressive symptoms, and dysfunctional cognitive schemas. For the subsample that completed both tasks, we observed no significant correlation between the two bias scores obtained from the ACCT and DUCTUS. These results suggest that implicit and explicit interpretation biases are differently associated with depression-related trait and state characteristics, indicating that they represent different aspects of biased information processing.

Experimental induction of state rumination: A study evaluating the efficacy of goal-cueing task in different experimental settings.

Based on previous studies, the present four experiments (total N = 468) aimed at investigating the effectivity of rumination induction in different experimental settings. We were particularly interested in rumination in the context of individual goal achievement and tested whether an instruction that referred to unresolved goals had a direct observable effect on state rumination. For this purpose, participants were asked to identify, evaluate, and focus on a personally relevant goal that was previously unresolved and still bothered them. In Experiment 1a to 1c, we compared three different modifications of the unresolved condition with shortened instructions with the elaborated unresolved condition and an additional control condition that did not refer to goals. In general, the results were mixed, but basically confirmed the effectiveness of the method used. Finally, in Experiment 2, we compared the two most promising versions of the unresolved condition and, by adding a goal-related control condition, we examined which control condition was best suited to maximize effects related to state rumination in future research. Results of various mixed ANOVAs demonstrated that a shortened version (in terms of shortened audio instructions) of the unresolved condition could be used as well as the original unresolved condition to induce reliable state rumination. The significance of the effects obtained with this method for real-life applications as well as approaches for future research are discussed.

The interplay between music engagement and affect: A random-intercept cross-lagged panel analysis.

Engagement with music has the capacity to influence and be influenced by affective experiences. Although cross-sectional and experimental research provides evidence that music engagement is related to higher positive and lower negative affect, few studies have investigated the bidirectional nature of this relationship over time. The present longitudinal study, therefore, examined the interplay between passive and active music engagement and affect using random-intercept cross-lagged panel analysis. Over 8 weeks in 2022, 428 participants regularly engaging with music completed weekly online surveys on quantitative music engagement (i.e., time spent with music listening/music making), qualitative music engagement (i.e., use of music listening/music making for mood regulation) as well as positive and negative affect. Results revealed cross-lagged associations between music engagement and negative affect, but not positive affect: regarding quantitative music engagement, more time spent with music listening (but not music making) was related to less negative affect than usual at the following measurement. Results on qualitative music engagement showed that weeks with more negative affect than usual were followed by an increased use of music listening and music making for mood regulation. Our findings emphasize the bidirectional nature of the relationship between music engagement and affect corroborating the significant role of music engagement in affect regulation. Future research should replicate these findings with a more diverse sample regarding age, sex, ethnicity, education, and socioeconomic status. Additionally, further studies could examine individual and contextual factors and adequate measurement time points for further investigation of bidirectional affective processes involved in music engagement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Differential associations of leisure music engagement with resilience: A network analysis

Background/Objective: Several factors associated with resilience as the maintenance of mental health despite stress exposure can be strengthened through participation in leisure time activities. Since many people listen to or make music in their leisure time, the aim of the present study was to provide insights into the architecture of how resilience relates to passive and active music engagement. Method: 511 participants regularly listening to and/or making music completed an online survey on resilient outcomes (i.e., mental health and stressor recovery ability), different resilience factors (e.g., optimism, social support), quantitative music engagement (i.e., time spent with music listening/making) and qualitative music engagement (i.e., use of music listening/making for mood regulation). Results: Bivariate correlations showed that subjects spending more time with music making reported better stressor recovery ability and less mental health problems, while partial correlational network analysis revealed no unique associations for quantitative music engagement. Regarding qualitative music engagement, people using music-based mood regulation reported lower mental health, mindfulness, and optimism, but also higher social support. A more heterogeneous pattern emerged for single music-based mood regulation strategies. Conclusions: Our findings highlight the importance of the individual (mal-)adaptive use of music, painting a more nuanced picture of music engagement and resilience. (AU)

Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST.

Background: Work-related stress is a risk factor for a number of adverse health and work outcomes. Resilience trainings are a promising approach for adequately dealing with work stress and keeping employees mentally healthy. However, results of previous resilience trainings have been heterogeneous, ranging from null findings to large effects. Existing digital resilience interventions show a lack of consistency in terms of an underlying theoretical framework and methods used to foster resilience. Positive Appraisal Style Theory of Resilience offers an innovative conceptualization of resilience. Strengths-based cognitive behavioral therapy is a corresponding therapeutically method reflecting resilience as a resource-oriented process of dealing with stress. Based on this background, a new hybrid web-and app-based digital resilience intervention for employees named RESIST was developed. Objective: The first aim of the study was to investigate the feasibility of the newly developed training RESIST regarding its usability, user behavior, user experience and motivation to use. Second, the study sought to explore preliminary effects of the intervention on reducing stress and enhancing resilience by conducting a pilot randomized controlled trial. Methods: The feasibility study was conducted in three phases. First, the usability of the app was investigated in a pre-test with five participants using a thinking-aloud method. Second, the preliminary efficacy of the training was examined in a pilot randomized controlled trial. A sample of 30 employees were randomized either to receive the resilience training (n = 15) or to be member of a control group (n = 15). The primary outcome was measuring perceived stress. Secondary outcomes included measures of resilience and depressive symptoms. Third, semi-structured interviews were undertaken with six participants of the resilience training group on training content, motivation for use, and user experience. Results: Overall, results indicate that RESIST can be a feasible training for resilience promotion and stress reduction with high user satisfaction. Analysis of covariance showed that, relative to controls, participants who received RESIST reported significantly lower stress scores at post-intervention (F1,27 = 16.91, p < 0.001; Cohen's d = 1.57; 95 % CI 0.71-2.43) than controls. Significant differences, with moderate-to-large effect sizes, were also detected for general resilience and various resilience factors. Conclusions: Results are promising and provide hope that a hybrid web- and app-based resilience intervention based on strengths-based cognitive behavioral therapy can have a positive impact on dealing adequately with stress and improve resilience of employees.

The Perceived Stress Scale 2&2: a two-factorial German short version of the Perceived Stress Scale.

Background: Stress is among the leading causes for diseases. The assessment of subjectively perceived stress is essential for resilience research. While the Perceived Stress Scale (PSS) is a widely used questionnaire, a German short version of the scale is not yet available. In the current study, we developed such a short version using a machine learning approach for item reduction to facilitate the simultaneous optimization of multiple psychometric criteria. Method: We recruited 1,437 participants from an online panel, who completed the German long version of the PSS along with measures of mental health and resilience. An ant-colony-optimization algorithm was used to select items, taking reliability, and construct validity into account. Findings on validity were visualized by psychological network models. Results: We replicated a bifactor structure for the long version of the PSS and derived a two-factor German short version of the PSS with four items, the PSS-2&2. Its factors helplessness and self-efficacy showed differential associations with mental health indicators and resilience-related factors, with helplessness being mainly linked to mental distress. Conclusion: The valid and economic short version of the PSS lends itself to be used in future resilience research. Our findings highlight the importance of the two-factor structure of the PSS short versions and challenge the validity of commonly used one-factor models. In cases where the general stress factor is of interest, researchers should use the longer versions of the PSS that allow for the interpretation of total scores, while the PSS-2&2 allows of an economic assessment of the PSS factors helplessness and self-efficacy.

Differential associations of leisure music engagement with resilience: A network analysis.

Background/Objective: Several factors associated with resilience as the maintenance of mental health despite stress exposure can be strengthened through participation in leisure time activities. Since many people listen to or make music in their leisure time, the aim of the present study was to provide insights into the architecture of how resilience relates to passive and active music engagement. Method: 511 participants regularly listening to and/or making music completed an online survey on resilient outcomes (i.e., mental health and stressor recovery ability), different resilience factors (e.g., optimism, social support), quantitative music engagement (i.e., time spent with music listening/making) and qualitative music engagement (i.e., use of music listening/making for mood regulation). Results: Bivariate correlations showed that subjects spending more time with music making reported better stressor recovery ability and less mental health problems, while partial correlational network analysis revealed no unique associations for quantitative music engagement. Regarding qualitative music engagement, people using music-based mood regulation reported lower mental health, mindfulness, and optimism, but also higher social support. A more heterogeneous pattern emerged for single music-based mood regulation strategies. Conclusions: Our findings highlight the importance of the individual (mal-)adaptive use of music, painting a more nuanced picture of music engagement and resilience.

Global and local cortical folding alterations are associated with neurodevelopmental subtype in bipolar disorders: a sulcal pits analysis.

BACKGROUND: Analyzing cortical folding may provide insight into the biological underpinnings of neurodevelopmental diseases. A neurodevelopmental subtype of bipolar disorders (BD-ND) has been characterized by the combination of early age of onset and psychotic features. We investigate potential cortical morphology differences associated with this subtype. We analyze, for the first time in bipolar disorders, the sulcal pits, the deepest points in each fold of the cerebral cortex. METHODS: We extracted the sulcal pits from anatomical MRI among 512 participants gathered from 7 scanning sites. We compared the number of sulcal pits in each hemisphere as well as their regional occurrence and depth between the BD-ND subgroup (N = 184), a subgroup without neurodevelopmental features (BD, N = 77) and a group of healthy controls (HC, N = 251). RESULTS: In whole brain analysis, BD-ND group have a higher number of sulcal pits in comparison to the BD group. The local analysis revealed, after correction for multiple testing, a higher occurrence of sulcal pits in the left premotor cortex among the BD-ND subgroup compared to the BD and the HC groups. CONCLUSION: Our findings confirm that BD-ND is associated with a specific brain morphology revealed by the analysis of sulcal pits. These markers may help to better understand neurodevelopment in mood disorder and stratify patients according to a pathophysiological hypothesis.

Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown.

The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor "childhood-onset neurodevelopmental disorders". Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction.

Individualizing deep dynamic models for psychological resilience data.

Deep learning approaches can uncover complex patterns in data. In particular, variational autoencoders achieve this by a non-linear mapping of data into a low-dimensional latent space. Motivated by an application to psychological resilience in the Mainz Resilience Project, which features intermittent longitudinal measurements of stressors and mental health, we propose an approach for individualized, dynamic modeling in this latent space. Specifically, we utilize ordinary differential equations (ODEs) and develop a novel technique for obtaining person-specific ODE parameters even in settings with a rather small number of individuals and observations, incomplete data, and a differing number of observations per individual. This technique allows us to subsequently investigate individual reactions to stimuli, such as the mental health impact of stressors. A potentially large number of baseline characteristics can then be linked to this individual response by regularized regression, e.g., for identifying resilience factors. Thus, our new method provides a way of connecting different kinds of complex longitudinal and baseline measures via individualized, dynamic models. The promising results obtained in the exemplary resilience application indicate that our proposal for dynamic deep learning might also be more generally useful for other application domains.

A Group Intervention to Promote Resilience in Nursing Professionals: A Randomised Controlled Trial.

In this study, a new group intervention program to foster resilience in nursing professionals was tested for efficacy. In total, 72 nurses were recruited and randomised to either an intervention condition or to a wait list control condition. The study had a pre-test, post-test, follow-up design. The eight-week program targeted six resilience factors: cognitive flexibility, coping, self-efficacy, self-esteem, self-care, and mindfulness. Compared to the control group, the intervention group reported a significant improvement in the primary outcome mental health (measured with the General Health Questionnaire) from pre-test (M = 20.79; SD = 9.85) to post-test (M = 15.81; SD = 7.13) with an estimated medium effect size (p = 0.03, η2 = 0.08) at post-test. Further significant improvements were found for resilience and other resilience related outcomes measures. The individual stressor load of the subjects was queried retrospectively in each measurement. Stress levels had a significant influence on mental health. The intervention effect was evident even though the stress level in both groups did not change significantly between the measurements. Follow-up data suggest that the effects were sustained for up to six months after intervention. The resilience intervention reduced mental burden in nurses and also positively affected several additional psychological outcomes.

Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis.

Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis to assess the extent of neuroanatomical dysconnectivity in a large representative study of individuals with BD. This cross-sectional multicenter international study assessed structural and diffusion-weighted magnetic resonance imaging data obtained from 109 subjects with BD type 1 and 103 psychiatrically healthy volunteers. Whole-brain metrics, permutation-based statistics, and connectivity of highly connected nodes were used to compare network-level connectivity patterns in individuals with BD compared with controls. The BD group displayed longer characteristic path length, a weakly connected left frontotemporal network, and increased rich-club dysconnectivity compared with healthy controls. Our multisite findings implicate emotion and reward networks dysconnectivity in bipolar illness and may guide larger scale global efforts in understanding how human brain architecture impacts mood regulation in BD.

It's worth the trouble: Stressor exposure is related to increased cognitive reappraisal ability.

Recent theories propose moderate (compared to high or no) stressor exposure to promote emotion regulation capacities. More precisely, stressful situations are expected to serve as practice opportunities for cognitive reappraisal (CR), that is, the reinterpretation of a situation to alter its emotional impact. Accordingly, in this study, we expect an inverted U-shaped relationship between exposure to daily hassles and performance in a CR task, that is, best reappraisal ability in individuals with a history of moderate stressor exposure. Participants (N = 165) reported the number of daily hassles during the last week as indicator of stressor exposure and completed the Script-based Reappraisal Test (SRT). In the SRT, participants are presented with fear-eliciting scripts and instructed to either downregulate negative affect via reappraisal (reappraisal-trials) or react naturally (control-trials). Two measures indicate CR ability: (1) reappraisal effectiveness, that is, the difference between affective ratings in reappraisal- and control-trials and (2) reappraisal inventiveness, that is, the number of valid and categorically different reappraisal thoughts. Multiple regression analyses revealed positive linear, but not quadratic, relationships of exposure to daily hassles and both indicators of CR ability. Potential benefits of stressor exposure for emotion regulation processes are discussed.

Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults.

Resilience to stress has gained increasing interest by researchers from the field of mental health and illness and some recent studies have investigated resilience from a network perspective. General self-efficacy constitutes an important resilience factor. High levels of self-efficacy have shown to promote resilience by serving as a stress buffer. However, little is known about the role of network connectivity of self-efficacy in the context of stress resilience. The present study aims at filling this gap by using psychological network analysis to study self-efficacy and resilience. Based on individual resilient functioning scores, we divided a sample of 875 mentally healthy adults into a high and low resilient functioning group. To compute these scores, we applied a novel approach based on Partial Least Squares Regression on self-reported stress and mental health measures. Separately for both groups, we then estimated regularized partial correlation networks of a ten-item self-efficacy questionnaire. We compared three different global connectivity measures-strength, expected influence, and shortest path length-as well as absolute levels of self-efficacy between the groups. Our results supported our hypothesis that stronger network connectivity of self-efficacy would be present in the highly resilient functioning group compared to the low resilient functioning group. In addition, the former showed higher absolute levels of general self-efficacy. Future research could consider using partial least squares regression to quantify resilient functioning to stress and to study the association between network connectivity and resilient functioning in other resilience factors.