How etiological beliefs contribute to the structure of depression symptom networks.

OBJECTIVES: Each person possesses a unique view surrounding depressive symptomology and etiology that is shaped by idiosyncratic experiences. However, the influence that subjective etiological beliefs regarding a person's depressive symptoms have on actual symptom presentation and organization is seldom considered. METHODS: The current study employed network analytic techniques to examine how subjective views surrounding the cause of depressive symptoms altered actual symptom presentation networks. Additionally, the interaction between depressive symptoms and various etiological beliefs was examined. RESULTS: The results revealed that characterological beliefs, representing the idea that depression is caused by an internal sense of self, are strongly connected to a negative view of self, as well as a saddened mood. Additionally, the characterological beliefs node exhibited the greatest node predictability in its respective network, as well as in an omnibus network consisting of all depression symptoms and potential etiological beliefs. Whereas an achievement-based view of depression has a strong connection with concentration difficulties, a physical view of depression tends to form strong connections with physically based depressive symptoms. CONCLUSION: Subjective views regarding the cause of depression have the potential to influence symptom presentation and organization within a network, which may influence a person's willingness to engage in treatment or specific treatment preferences.

Mapping the Relationship between Health-related Beliefs, Fear, Avoidance, and Depression: Lessons from the Pandemic and Beyond.

The COVID-19 pandemic brought a mental health crisis, with depression symptoms increasing nearly three-fold compared to pre-pandemic levels. To explain this surge and to outline related novel treatment targets for post-pandemic psychiatric interventions, the current study examined cognitive, emotional, and behavioral predictors of depression (in the context of the recent pandemic). Participants completed measures assessing perceived danger, perceived infectiousness, and fear of the coronavirus (COVID-19). Participants also reported symptoms of depression and behavioral tendencies: pandemic-related compulsive checking, cleaning, and avoidance (of activities, situations, places, and people). A multiple mediation model revealed that the relationship between perceived infectiousness of the virus and depression was atemporally mediated by fear of the virus and pandemic-related avoidance of activities, situations, places, and people. Furthermore, avoidance played a uniquely important role in the mediation model. First, it directly mediated the relationship between perceived infectiousness and depression, even when omitting fear from the model. Second, avoidance was a discriminant predictor of depression, as neither pandemic-related checking and reassurance-seeking nor cleaning behavior mediated the relationship between cognition and depressive symptoms. Clinical implications are discussed, including how addressing the relationship between anxiety about viral infections and depression can prospectively increase treatment success as we move beyond the pandemic.

Longitudinal and experimental investigations of implicit happiness and explicit fear of happiness.

ABSTRACTSome individuals devalue positivity previously associated with negativity (Winer & Salem, 2016). Positive emotions (e.g. happiness) may be seen as threatening and result in active avoidance of future situations involving positivity. Although some self-report measures can capture emotions of happiness-averse individuals, they are not always capable of capturing automatic processing. Thus, we examined the association between implicitly-assessed happiness and explicit (i.e. self-reported) fear of happiness in three studies. In Study 1, participants completed the Fear of Happiness Scale (FHS) and an implicit measure of emotions at four-time points over approximately one year. The implicit measure required participants to choose which emotion (i.e. anger, fear, happiness, sadness, or none) best corresponded to 20 individual Chinese characters. In Studies 2 and 3, we utilized an experimental design, implementing a mood induction to emphasise the relationship between explicit fear of happiness and implicitly-assessed happiness. Participants completed the FHS and chose which emotion they believed the artist tried to convey in 20 abstract images. Results indicated that greater self-reported fear of happiness was related to reduced implicit happiness. Findings from these studies provide compound evidence that individuals who hold negative views of positivity may process implicit happiness in a devaluative manner.

Using theory to guide exploratory network analyses.

The use of exploratory network analysis has increased in psychopathology research over the past decade. A benefit of exploratory network analysis is the wealth of information it can provide; however, a single analysis may generate more inferences than what can be discussed in one manuscript (e.g., centrality indices of each node). This necessitates that authors choose which results to discuss in further detail and which to omit. Without a guide for this process, the likelihood of a biased interpretation is high. We propose that the integration of theory throughout the research process makes the interpretation of exploratory networks more manageable for the researcher and more likely to result in an interpretation that advances science. The goals of this paper are to differentiate between exploratory and confirmatory network analyses, discuss the utility of exploratory work, and provide a practical framework that uses theory as a guide to interpret exploratory network analyses.

Examining rumination, devaluation of positivity, and depressive symptoms via community-based network analysis.

OBJECTIVE: Components of rumination, including brooding and reflection, as well as devaluating prospective positivity, may help maintain depressive symptoms. We examined these components together for the first time using network analysis. METHODS: We examined the robustness of rumination communities of closely related items in one network and then examined the interrelationships between rumination communities, devaluation of positivity, and depression, in a second network. RESULTS: Three rumination communities emerged, replicating findings of Bernstein et al. (2019). Within a dense network, nodes representing brooding, reflective pondering, and difficulty trusting positive feelings were most influential. In addition, the node representing the depressive symptom negative self-views shared strong edges with nodes representing devaluation of positivity and brooding. CONCLUSION: Brooding, reflective pondering, and elements of devaluing positivity are influential to depressive symptoms and may be important future experimental and therapeutic targets. Depressed individuals with negative self-views may engage in brooding and devalue their experience of positivity.

Negative affect interference and fear of happiness are independently associated with depressive symptoms.

OBJECTIVES: Reward devaluation theory (RDT) posits that some depressed individuals avoid positivity due to its previous association with negative outcomes. Behavioral indicators of avoidance of reward support RDT, but self-report indicators have yet to be examined discriminantly. Two candidate self-report measures were examined in relation to depression: negative affect interference (NAI), or the experience of negative affect in response to positivity, and fear of happiness, a fear of prospective happiness. METHOD: Participants completed measures assessing NAI, fear of happiness scale, and depression online via Amazon's Mechanical Turk at three time points (N = 375). Multilevel modeling examined the relationship between NAI, fear of happiness, and depressive symptoms longitudinally. RESULTS: NAI and fear of happiness were both positively associated with depressive symptoms. They both uniquely predicted depressive symptoms when included within the same model. CONCLUSIONS: These findings suggest that different conceptualizations of positivity avoidance are uniquely associated with depressive symptoms.

The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?

OBJECTIVE: Network analysis in psychology has ushered in a potentially revolutionary way of analyzing clinical data. One novel methodology is in the construction of temporal networks, models that examine directionality between symptoms over time. This paper provides context for how these models are applied to clinically-relevant longitudinal data. METHODS: We provide a survey of statistical and methodological issues involved in temporal network analysis, providing a description of available estimation tools and applications for conducting such analyses. Further, we provide supplemental R code and discuss simulations examining temporal networks that vary in sample size, number of variables, and number of time points. RESULTS: The following packages and software are reviewed: graphicalVAR, mlVAR, gimme, SparseTSCGM, mgm, psychonetrics, and the Mplus dynamic structural equation modeling module. We discuss the utility each procedure has for specific design considerations. CONCLUSION: We conclude with notes on resources for estimating these models, emphasizing how temporal networks best approximate network theory.

Combined behavioural markers of cognitive biases are associated with anhedonia.

Biases towards negative information, as well as away from positive information, are associated with psychopathology. Examining biases in multiple processes has been theorised to be more predictive than examining bias in any process alone. Anhedonia is a core symptom of psychopathology and predictive of future psychopathological symptoms. Finding that combined biases are associated with anhedonia would advance knowledge of the nature of emotional processing biases and the value of objective performance-based measures for identifying early risk markers. Participants (N = 139) completed tasks that assess latency bias (dot probe) and biased recognition (two-alternative forced-choice) of emotional information, as well as an anhedonia measure. An index was computed for each task's performance reflecting biased processing of positive and negative words. Only combined biases on both tasks were associated with anhedonia. Attentional bias was positively associated with anhedonia, but only when recognition bias for emotional words was high. Thus, assessing biases in multiple domains increased sensitivity to uncover relationships between emotional processing biases and anhedonic symptoms.

Longitudinal evaluation of anhedonia as a mediator of fear of positive evaluation and other depressive symptoms.

Fear of positive evaluation (FPE) is experiencing dread during real or potential praise. FPE is associated with social anxiety, but its relation to depressive symptoms is unclear. Anhedonia is a core symptom of depression related to symptoms of anxiety in cross-sectional research. The current study investigated the indirect effect of FPE on depressive symptoms via anhedonia over time. One-hundred ninety-six participants completed three waves of questionnaires over a total timespan of approximately four months via Amazon's Mechanical Turk, including measures of FPE, depressive symptoms, and anticipatory and consummatory anhedonia. Findings indicated that anticipatory anhedonia at Time 2 mediated the relationship between FPE at Time 1 and depressive symptoms at Time 3. Consummatory anhedonia, however, did not. Each model was contextualised by accounting for prospective covarying relationships, such as depressive symptoms predicting the same symptoms at later waves. The constellation of findings is considered within a reward devaluation framework.

A short-term longitudinal examination of the relations between depression, anhedonia, and self-injurious thoughts and behaviors in adults with a history of self-injury.

BACKGROUND: Limited research has addressed the role of anhedonia in predicting suicidality and/or nonsuicidal self-injury (NSSI) in adults, despite evidence suggesting that loss of interest or pleasure may increase vulnerability for self-inflicted harm, even beyond other depressive symptoms. METHODS: In the current study, we explored the role of symptoms of depression and recent changes in anhedonia in predicting suicidality, NSSI ideation, and perceptions of NSSI helpfulness among individuals with a history of NSSI or suicide attempts (N=187). RESULTS: We found that changes in anhedonia partially mediated the effect of depression on suicidality, and fully mediated the effect of depression on perceptions of NSSI helpfulness. Anhedonia did not predict NSSI ideation above and beyond depression symptoms, and did not significantly predict NSSI frequency when accounting for suicidality. Compared to individuals with a history of NSSI only or suicide attempt only, people with a history of both NSSI and suicide attempt evidenced greater risk and symptomatology. CONCLUSIONS: Results confirm the relation between anhedonia and suicidality evidenced in past research, but suggest a complex relationship between anhedonia, depression, and facets of non-suicidal self-injury.

Distinguishing Mediational Models and Analyses in Clinical Psychology: Atemporal Associations Do Not Imply Causation.

PURPOSE: A popular way to attempt to discern causality in clinical psychology is through mediation analysis. However, mediation analysis is sometimes applied to research questions in clinical psychology when inferring causality is impossible. This practice may soon increase with new, readily available, and easy-to-use statistical advances. Thus, we here provide a heuristic to remind clinical psychological scientists of the assumptions of mediation analyses. APPROACH: We describe recent statistical advances and unpack assumptions of causality in mediation, underscoring the importance of time in understanding mediational hypotheses and analyses in clinical psychology. Example analyses demonstrate that statistical mediation can occur despite theoretical mediation being improbable. CONCLUSION: We propose a delineation of mediational effects derived from cross-sectional designs into the terms temporal and atemporal associations to emphasize time in conceptualizing process models in clinical psychology. The general implications for mediational hypotheses and the temporal frameworks from within which they may be drawn are discussed.

Predictors of treatment interest and treatment initiation in a VA outpatient trauma services program providing evidence-based care.

The present study explored interest in treatment and treatment initiation patterns among veterans presenting at a VA posttraumatic stress disorder (PTSD) clinic. U.S. veterans who were referred for treatment of posttraumatic stress symptoms (N = 476) attended a 2-session psychoeducation and orientation class where they completed measures of demographic variables, PTSD and depression symptom severity, and interest in treatment. Consistent with previous literature and our hypotheses, Vietnam (OR = 1.78) and Persian Gulf veterans (OR = 2.05) were more likely than Iraq and Afghanistan veterans to initiate treatment. Veterans reporting more severe PTSD and depression symptoms were more likely to initiate treatment than not (OR for PTSD = 1.02, OR for depression = 1.02). Interest in treatment emerged as a strong predictor of treatment initiation. Specifically, interest in trauma-focused treatment showed a significant independent predictive effect on initiation such that veterans who expressed interest in trauma-focused treatment were significantly more likely to initiate treatment than those who did not express interest (OR = 2.13). Building interest in trauma-focused treatment may be a vital component for engaging veterans in evidence-based trauma-focused therapy.

Assessing relinquishment of positivity as a central symptom bridging anxiety and depression.

Anxiety and depression are often comorbid and chronic disorders. Previous research indicates that positivity relinquishment is a moderator of anxiety and depression, such that only anxious individuals who endorsed relinquishing positivity were also depressed. We sought to extend those findings by conducting three network analyses with self-report measures of anxiety, depression, activity avoidance, and perceived positivity of avoided activities (N = 104). We pre-registered our hypothesis for the first two networks that relinquishment of positivity would emerge as a central bridge symptom between anxiety and depressive symptoms. After combining redundant nodes, we estimated three networks and investigated the bridge symptoms in each network. Relinquishment of positivity bridged the symptom clusters in the first network, and avoidance of positivity was found to bridge the two symptom clusters of anxiety and depression in networks two and three. Additionally, an anhedonia circuit was uncovered in all three networks in which loss of interest/worthlessness, loss of energy, and loss of pleasure/pessimism connected to anxiety through relinquishment or avoidance. Our findings suggest that both relinquishment of positivity as well as avoidance of positivity could be potential pathways explaining the development and maintenance of anxiety and depression and should be properly targeted in treatment.

A network analytic investigation of avoidance, dampening, and devaluation of positivity.

BACKGROUND AND OBJECTIVES: Reward Devaluation Theory suggests that devaluation of positivity may be integral in understanding depression (Winer & Salem, 2016). Specifically, the anticipatory (e.g., fear of happiness) and responsive (e.g., dampening) behaviors related to the processing of positivity may play a role in the development and maintenance of depression. METHODS: The goal of this study was to examine the potential overlap between measures that operationalize positivity avoidance, two Fear of Happiness Scales (Gilbert et al., 2012; Joshanloo, 2013), as well as positivity dampening, measured via the dampening subscale of the Responses to Positive Affect Questionnaire (Feldman et al., 2008). Network and community analyses were employed to examine the extent to which the items of these measures clustered into their parent measures and investigate the dynamic interactions between items. RESULTS: The results of the community analysis revealed that the three self-report measures overall clustered into their parent measures, except for the Gilbert et al. (2012) Fear of Happiness Scale, which clustered into two separate communities. The most influential nodes represented the concept that good feelings are often followed by negative outcomes. Additionally, nodes related to the theme of fear of letting oneself become happy emerged as the strongest bridge nodes. LIMITATIONS: One limitation of this study is the use of a cross-sectional design; thus, causality cannot be inferred, but the results can guide future longitudinal network designs. CONCLUSIONS: These findings demonstrate how anticipatory avoidance and responsive dampening may influence depression, thus providing evidence for unique targets for treatment.

Recalling Self-efficacious Memories Reduces COVID-19-Related Fear.

Purpose: Manipulating perceived self-efficacy can mitigate the negative impact of trauma and increase ability to adapt to stress. It is possible that a similar domain-based manipulation aimed at anxiety around the pandemic might mitigate the negative mental health impact of COVID-19. The current experimental study assessed whether a self-efficacy induction would be effective in reducing COVID-19 distress. Methods: Participants were randomized to a self-efficacy autobiographical memory induction or control condition. We hypothesized that individuals in the self-efficacy group would exhibit lower levels of fear on an implicit measure of emotional states following exposure to COVID-19-related stimuli. Results: A significant increase in general self-efficacy and self-confidence was found in the self-efficacy group from pre- to post-induction. Individuals in the self-efficacy group had significantly lower levels of fear counts on the implicit measure of emotional states than the control group following exposure to COVID-19-related stimuli. Conclusions: Results suggest that (1) self-efficacy can be increased among individuals with high levels of COVID-19-related distress using an autobiographical memory induction and (2) doing so reduces fear processing among these individuals when exposed to COVID-19 stimuli. This is relevant for future intervention as it reveals a possible mechanism for reducing and recovering from COVID-19-related distress. Supplementary Information: The online version contains supplementary material available at 10.1007/s10608-023-10377-6.

Individuals fearing positivity do not perceive positive affect treatments as strong fits: A novel experimental finding and replication.

BACKGROUND AND OBJECTIVES: Positive affect treatments, which hold great promise to connect with those who are otherwise resistant to depression treatments, attempt to upregulate positive emotions. These treatments have potential advantages over standard therapies because they target cross-diagnostic core symptoms (e.g., anhedonia) that may respond better to interventions aimed at increased positivity. However, the extent to which these treatments are a perceived fit by individuals for whom they were developed (i.e., individuals who are afraid of, avoid, or experience less positivity) is unclear. METHODS: We conducted two independent studies utilizing a cross-sectional, experimental design to examine perceived treatment fit. Participants (Study 1: N = 416; Study 2: N = 321) read counterbalanced treatment descriptions of (1) positive affect treatment and (2) psychodynamic psychotherapy and answered questions regarding perceived treatment fit, effectiveness, and preference of the two treatments. RESULTS: Our findings suggest that individuals fearful of happiness perceived a prospective depression treatment specifically targeting positivity as a poorer fit, demonstrating an opposite pattern to the overall samples' treatment preference in both studies. Thus, as predicted by Reward Devaluation Theory, those fearing positivity exhibited avoidance behaviors for treatments that are to an extent designed, and might otherwise be most effective, for them. LIMITATIONS: The current study utilized a college student sample. CONCLUSION: These empirical findings may ultimately inform psychoeducation of why positive affect treatments, which are in direct contrast with clients' preferences, may be the very treatments they need the most.

Does grit protect against the adverse effects of depression on academic achievement?

Depressive symptoms have been shown to be negatively related to academic achievement, as measured by grade point average (GPA). Grit, or the passion for and the ability to persevere toward a goal despite adversity, has been linked to GPA. Thus, grit may potentially buffer against the negative effects of depressive symptoms in relation to academic achievement. However, social desirability may might impact the validity of grit when assessed by self-report measures, so how these constructs are all related is unknown. The current study explored the relationship between depressive symptoms, grit, social desirability, and GPA among University students (N = 520) in the United States using a cross-sectional design. We conducted a moderated-moderation model to examine how social desirability moderated the relationship between depressive symptoms, grit, and GPA. Findings replicated prior work and indicated negative relationships between depressive symptoms and social desirability with GPA and a positive relationship, albeit non-significant, between grit and GPA. However, results suggest that grit did not moderate the relationship between depressive symptoms and GPA when including social desirability in the model. Future research should investigate this relationship in a longitudinal setting to further examine how grit and depressive symptoms influence one another in academic domains.

Anhedonia and the Relationship Between Other Depressive Symptoms and Aggressive Behavior.

Depression has been linked to multiple forms of aggressive behavior in college students; however, it is unclear which aspects of depression explain this connection. Anhedonia, defined as the loss of interest and/or pleasure in previously enjoyed activities, may provide unique information about relationships between depression and aggression. Using cross-sectional data from two independent samples of college students (N = 747 and N = 736 for Study 1 and Study 2, respectively), we examined whether anhedonia helped explain the relationship between broader depressive symptoms and different forms of aggressive and antisocial behavior. Anhedonia accounted for variance in both self-directed aggression and antisocial behavior independent of gender, hostility, anger, other depressive symptoms, and cognitive distortions (Study 2). In addition, there were significant indirect effects of depressive symptoms on self-directed aggression (Studies 1 and 2) and antisocial behavior (Study 2) via anhedonia. Hypotheses involving other-directed aggression received mixed support, with anhedonia atemporally associated with other-directed aggression independent of broader depressive symptoms in Study 1, but not in Study 2. The current findings suggest that anhedonia is an important individual difference that helps explain the relationship between depression and aggressive and antisocial acts and that anhedonia may be differentially associated with various types of aggressive and antisocial behavior.

Access is mainly a second-order process: SDT models whether phenomenally (first-order) conscious states are accessed by reflectively (second-order) conscious processes.

Access can either be first-order or second-order. First order access concerns whether contents achieve representation in phenomenal consciousness at all; second-order access concerns whether phenomenally conscious contents are selected for metacognitive, higher order processing by reflective consciousness. When the optional and flexible nature of second-order access is kept in mind, there remain strong reasons to believe that exclusion failure can indeed isolate phenomenally conscious stimuli that are not so accessed. Irvine's [Irvine, E. (2009). Signal detection theory, the exclusion failure paradigm and weak consciousness-Evidence for the access/phenomenal distinction? Consciousness and Cognition.] partial access argument fails because exclusion failure is indeed due to lack of second-order access, not insufficient phenomenally conscious information. Further, the enable account conforms with both qualitative differences and subjective report, and is simpler than the endow account. Finally, although first-order access may be a distinct and important process, second-order access arguably reflects the core meaning of access generally.

Conceptualizing anhedonias and implications for depression treatments.

Anhedonia has been implicated as a core symptom of depression and schizophrenia, and studying anhedonia has yielded a wide array of important findings aiding the understanding and identification of psychological disorders. However, anhedonia is a complex and multifaceted construct; indeed, the term anhedonia has been defined in psychological and psychiatric research as many different concepts, a number of which are theoretically and methodologically independent of one another. In this review alone, we discuss research that separates social aspects of anhedonia from the physical contexts of anhedonia, with the former emphasizing interpersonal relationships as important to anhedonic symptoms, and the latter emphasizing biological and brain-related impairment as potential causes of chronic anhedonia states. We highlight research that distinguishes between interest in (wanting) or experience of (liking) potential pleasure as definitions of anhedonia and also disambiguate methodologically and theoretically distinct ways of assessing 1) trait-level dispositional tendencies, 2) state-level cross-sectional assessments, and 3) symptom-based recent changes from baseline, all of which have been used to indicate anhedonia. Lastly, we describe cutting-edge translations of basic anhedonia research into treatment and discuss how different conceptualizations of anhedonia, guided by recent theoretical and methodological advances, have begun to usher in a science of anhedonia that is consistent with increasingly personalized assessment and treatment. We conclude with a note for future research, emphasizing that continued application of theoretically based operationalizations of anhedonia and sound design are paramount to continue the recent progress toward meaningful and specific use of the anhedonia construct in clinical research.