The role of self-blame and worthlessness in the psychopathology of major depressive disorder

Shame and depressive symptoms in men: The moderating role of environmental mastery and purpose in life

BACKGROUND

Feelings of shame are linked to increased risk for depression. Little is known about protective factors that may buffer this effect, particularly in men. Using prospective data from a community sample of Australian men, we examine the extent to which shame is associated with depressive symptoms, and the protective role of psychological wellbeing, specifically environmental mastery and purpose in life.

METHODS

Participants (n = 448) were from the longitudinal Men and Parenting Pathways (MAPP) Study. Measures were the Event Related Shame and Guilt Scale for shame, the DASS-21 for depressive symptoms and Ryff's Scales of Psychological Well-Being for environmental mastery and purpose in life. Linear regressions were used to test associations between shame and depressive symptoms concurrently and 1-year later, and the moderating effects of mastery and purpose in life.

RESULTS

Shame was strongly associated with concurrent depressive symptoms (βunadj = .76, p < .001; βadj = .63, p < .001). This effect was weaker in men with high compared to low environmental mastery (β+1SD = .46, p < .001; β-1SD = .55, p < .001) and purpose in life (β+1SD = .48, p < .001; β-1SD = .62, p < .001). Shame also predicted subsequent depressive symptoms after adjustment for prior depressive symptoms (βunadj = .59, p = .001; βadj = .34, p = .004), although environmental mastery or purpose in life did not moderate these associations.

CONCLUSIONS

Our findings suggest that promoting a sense of psychological wellbeing in men may confer protective proximal effects in the context of shame, potentially attenuating depression severity. The current study aligns with calls for strength-based approaches to reducing mental health problems in men.

The relationship between psychological distress and cognitive failure among breast cancer survivors: a network analysis

Background

Psychological distress is highly prevalent and has a severe impact on the quality of life among breast cancer survivors. This type of distress is associated with cognitive failure. However, previous studies have focused solely on the total scale scores of these two concepts while ignoring the unique relationship between specific components. In the present study, we utilized network analysis to explore the relationship between psychological distress and cognitive failure in breast cancer survivors.

Methods

The network analysis approach was adopted to estimate the regularized partial correlation network in a cross-sectional sample of 409 breast cancer survivors. All participants were assessed using the Depression Anxiety Stress Scale and the Cognitive Failure Questionnaire. The Gaussian Graphical Model was employed to estimate the network, centrality indices, and edge weights, providing a description of the characteristics of the network.

Results

The results indicated that anxiety-stress and depression-stress were the strongest edges in the community of psychological distress. Distractibility-memory was the strongest edge in the community of cognitive failure. Distractibility and memory were the most central nodes, with the highest expected influence in the network. Depression and motor coordination acted as important bridge nodes with the highest bridge expected influence.

Conclusion

Distractibility and memory in cognitive failure played important roles in activating and maintaining the relationship network. Motor coordination was identified as the crucial pathway for the impact of cognitive failure on psychological distress. Interventions targeting these specific issues might be more effective in improving cognitive failure and reducing psychological distress among breast cancer survivors.

Reading language of the eyes in female depression

Aberrations in non-verbal social cognition have been reported to coincide with major depressive disorder. Yet little is known about the role of the eyes. To fill this gap, the present study explores whether and, if so, how reading language of the eyes is altered in depression. For this purpose, patients and person-by-person matched typically developing individuals were administered the Emotions in Masked Faces task and Reading the Mind in the Eyes Test, modified, both of which contained a comparable amount of visual information available. For achieving group homogeneity, we set a focus on females as major depressive disorder displays a gender-specific profile. The findings show that facial masks selectively affect inferring emotions: recognition of sadness and anger are more heavily compromised in major depressive disorder as compared with typically developing controls, whereas the recognition of fear, happiness, and neutral expressions remains unhindered. Disgust, the forgotten emotion of psychiatry, is the least recognizable emotion in both groups. On the Reading the Mind in the Eyes Test patients exhibit lower accuracy on positive expressions than their typically developing peers, but do not differ on negative items. In both depressive and typically developing individuals, the ability to recognize emotions behind a mask and performance on the Reading the Mind in the Eyes Test are linked to each other in processing speed, but not recognition accuracy. The outcome provides a blueprint for understanding the complexities of reading language of the eyes within and beyond the COVID-19 pandemic.

The general impact of self-stigma of mental illness on adult patients with depressive disorders: a systematic review

BACKGROUND

Mental illness stigma is often common among mentally ill patients. This stigma can come from others or the patients themselves, which is called 'self-stigma'. The present study explored the widespread impacts of self-stigma on adult patients with depression. Additionally, this review compared the severity of self-stigma levels among psychiatric disorders and to review and update thoughts about self-stigma of depression.

METHODS

An etiology and risk systematic review was conducted using the Joanna Briggs Institute (JBI) approach as a guideline. The search process was performed via research databases including MEDLINE, EMBASE and CINAHL. The inclusion criteria are studies include participants diagnosed with depressive disorders, both genders, participants' exposure to mental illness self-stigma, participants' experience of self-stigma consequences and any geographical site or clinical settings are included, the type of the included studies must be observational studies. The included studies were limited to the English language studies that were published from 2016 and onwards. Patients with depression under the age of eighteen and patients diagnosed with multiple mental illnesses were excluded. The JBI critical appraisal checklist were adopted to assess the risk of bias.

RESULTS

In December 2022, a comprehensive search yielded eight cross-sectional studies that were included in this systematic review, involving a total of 783 patients diagnosed with depression, and 28 studies were excluded for not fulfilling the inclusion criteria of the review. The findings were extracted and synthesized through textual narrative synthesis into three main categories negatively affected by self-stigma of depression. These are: (1) the impact on the quality of life, (2) the impact on self-esteem and (3) the impact on self-worth. Moreover, in regard to the comparison of self-stigma levels among psychiatric disorders, self-stigma for people with schizophrenia was higher than self-stigma of depression.

CONCLUSION

Self-stigma of depression has negatively impacted multiple aspects of the patient's life. Thus, the review brings the following recommendations: increase community awareness, educate the healthcare providers, include the topic of mental illness stigma in academic curriculums. The main limitation of the review is the limited number of included studies.

TRIAL REGISTRATION

The research proposal for this review has been registered to Prospero (ID number: CRD42022366555).

Stress management: how does the academic staff cope with it? a cross-sectional study at the university of Udine

BACKGROUND

Increasing work-related stress in academia can have an impact on physical and mental health. The aim of this study was to analyse the coping strategies of staff employed at the University of Udine and to verify whether sociodemographic data, professional position, and the presence of anxiety or depression symptoms are related to the use of different coping strategies.

METHODS

We conducted a cross-sectional study between June and December 2020 using the Brief COPE questionnaire. We correlated coping strategies with professional position, sociodemographic data, and the presence of anxiety or depressive symptoms measured with the Patient Health Questionnaire-9 and the General Anxiety Disorder-7.

RESULTS

A total of 366 people participated in the study, including 109 junior academics, 146 senior academics, and 111 administrative staff (response rate 23.6%). The three most frequently used coping strategies in terms of approach coping style were planning (6.77 ± 1.41), active coping (6.58 ± 1.45) and acceptance (6.23 ± 1.44). Women were more likely than men to report using approach and avoidant coping strategies (p < 0.001). Positive reframing and religion were most commonly used by administrative staff (p < 0.05), in contrast to junior academics, who were more likely to use substances and self-blame (p < 0.05). Anxiety was found to correlate with self-blame (OR 1.94) as a coping strategy, while depression was associated with venting (OR 2.83), self-blame (OR 3.27), and humor (OR 3.02).

CONCLUSION

Identifying profiles of coping strategies can help higher education institutions to implement support strategies for the academic community, ultimately promoting healthier lives and more effective teaching and research. Our study has shown that women and junior academics among staff at the Udine University would benefit from a tailored health promotion intervention that encourages the use of approach coping styles to reduce their risk of developing anxiety and depressive symptoms.

A modified persian version of the self-stigma of depression scale among the Iranian population: a methodological study in 2023

INTRODUCTION

This cross -sectional research evaluated the psychometric properties of the Self-Stigma of Depression Scale (SSDS) among Iranian people.

METHODS

This methodological study was conducted among 881 people in 2023, Iran. The method of proportional stratified sampling was used to select participants. To evaluate the validity, face, content, construct, convergent, and discriminant were evaluated. The reliability of SSDS was assessed with the McDonald's omega coefficient, Cronbach α coefficient, and test- retest (Intraclass Correlation Coefficient).

RESULTS

In confirmatory factor analysis, the factor loading of all items of SSDS was more than 0.5, and two items had low factor loading. After deleted these items, goodness of fit indexes (such as GFI = 0.945, RMSEA = 0.067, AGFI = 0.917, CFI = 0.941, RFI = 0.905) confirmed the final model with 14 items and four factors of social inadequacy (3 items), help-seeking inhibition (4 questions), self-blame (3 questions), and shame (4 questions). In the reliability phase, for all items of SSDS, Cronbach α coefficient was 0.850, the McDonald omega coefficient was 0.853, and the intraclass correlation coefficient was 0.903.

CONCLUSION

The Persian form of SSDS was approved with 14 items and four factors: social inadequacy, help-seeking inhibition, self-blame, and shame. This tool can be used to check the status of self-stigmatization of depression in different groups.

Altered States and Social Bonds: Effects of MDMA and Serotonergic Psychedelics on Social Behavior as a Mechanism Underlying Substance-Assisted Therapy

There has been renewed interest in the use of 3,4-methylenedioxy-methamphetamine (MDMA) and serotonergic psychedelics in the treatment of multiple psychiatric disorders. Many of these compounds are known to produce prosocial effects, but how these effects relate to therapeutic efficacy and the extent to which prosocial effects are unique to a particular drug class is unknown. In this article, we present a narrative overview and compare evidence for the prosocial effects of MDMA and serotonergic psychedelics to elucidate shared mechanisms that may underlie the therapeutic process. We discuss 4 categories of prosocial effects: altered self-image, responses to social reward, responses to negative social input, and social neuroplasticity. While both categories of drugs alter self-perception, MDMA may do so in a way that is less related to the experience of mystical-type states than serotonergic psychedelics. In the case of social reward, evidence supports the ability of MDMA to enhance responses and suggests that serotonergic psychedelics may also do so, but more research is needed in this area. Both drug classes consistently dampen reactivity to negative social stimuli. Finally, preclinical evidence supports the ability of both drug classes to induce social neuroplasticity, promoting adaptive rewiring of neural circuits, which may be helpful in trauma processing. While both MDMA and serotonergic psychedelics produce prosocial effects, they differ in the mechanisms through which they do this. These differences affect the types of psychosocial interventions that may work best with each compound.

Risk factors for internalizing symptoms: The influence of empathy, theory of mind, and negative thinking processes

Internalizing symptoms such as elevated stress and sustained negative affect can be important warning signs for developing mental disorders. A recent theoretical framework suggests a complex interplay of empathy, theory of mind (ToM), and negative thinking processes as a crucial risk combination for internalizing symptoms. To disentangle these relationships, this study utilizes neural, behavioral, and self-report data to examine how the interplay between empathy, ToM, and negative thinking processes relates to stress and negative affect. We reanalyzed the baseline data of N = 302 healthy participants (57% female, Mage  = 40.52, SDage  = 9.30) who participated in a large-scale mental training study, the ReSource project. Empathy and ToM were assessed using a validated fMRI paradigm featuring naturalistic video stimuli and via self-report. Additional self-report scales were employed to measure internalizing symptoms (perceived stress, negative affect) and negative thinking processes (rumination and self-blame). Our results revealed linear associations of self-reported ToM and empathic distress with stress and negative affect. Also, both lower and higher, compared to average, activation in the anterior insula during empathic processing and in the middle temporal gyrus during ToM performance was significantly associated with internalizing symptoms. These associations were dependent on rumination and self-blame. Our findings indicate specific risk constellations for internalizing symptoms. Especially people with lower self-reported ToM and higher empathic distress may be at risk for more internalizing symptoms. Quadratic associations of empathy- and ToM-related brain activation with internalizing symptoms depended on negative thinking processes, suggesting differential effects of cognitive and affective functioning on internalizing symptoms. Using a multi-method approach, these findings advance current research by shedding light on which complex risk combinations of cognitive and affective functioning are relevant for internalizing symptoms.

Self-Blame Attribution: Concept Analysis and Application to HPV-Related Cancers

ABSTRACT

The attribution of self-blame for a negative physical health outcome can lead to further deterioration of one's mental and spiritual state. Using Walker and Avant's eight-step model for concept analysis, self-blame attribution is explored following the diagnosis of a human papillomavirus-related cancer in women. Conceptual case examples provide application of the concept to patient situations. Spiritual assessment tools for nurses caring for those who evidence self-blame are provided.

Coping among Black college women: A transformative study of gendered racism

Black women in the United States are placed at higher risk for mental health challenges, including distress and depression, due to structural inequities. Black college women enrolled in predominantly White institutions may be particularly exposed to stressors related to gendered racism, but there is limited knowledge about this population's coping strategies. A cross-sectional survey and focus group were utilized to understand and disrupt participants' experiences of gendered racism. In phase one, a survey assessing coping strategies and mental health outcomes was conducted with 168 Black women enrolled at a predominantly White institution in the southeastern United States. Logistic regression results indicated that several coping strategies including behavioral disengagement, self-blame, self-distraction, denial, and positive reframing were significantly associated with depression and psychological distress, all p < 0.05. Phase two included a single focus group with a subset of the sample from phase one. The focus group findings supplemented the survey results, suggesting education (more accurately consciousness-raising) as a foundational theme that seemed to create space for humor and social support as coping subthemes and created a transformative space where participants spoke openly about gendered racism. Findings from this study highlight the societal underpinnings that shape Black college women's experiences of gendered racism. College settings should endeavor to provide formal and informal support for Black women to minimize the harms related to gendered racism.

Understanding of Depressive Symptomatology across Major Depressive Disorder and Bipolar Disorder: A Network Analysis

Background and Objectives: Depressive symptoms are prominent in both major depressive disorder (MDD) and bipolar disorder (BD). However, comparative research on the network structure of depressive symptoms in these two diagnostic groups has been limited. This study aims to compare the network structure of depressive symptoms in MDD and BD, providing a deeper understanding of the depressive symptomatology of each disorder. Materials and Methods: The Zung Self-Rating Depressive Scale, a 20-item questionnaire, was administered to assess the depressive symptoms in individuals with MDD (n = 322) and BD (n = 516). A network analysis was conducted using exploratory graph analysis (EGA), and the network structure was analyzed using regularized partial correlation models. To validate the dimensionality of the Zung SDS, principal component analysis (PCA) was adopted. Centrality measures of the depressive symptoms within each group were assessed, followed by a network comparison test between the two groups. Results: In both diagnostic groups, the network analysis revealed four distinct categories, aligning closely with the PCA results. "Depressed affect" emerged as the most central symptom in both MDD and BD. Furthermore, non-core symptoms, "Personal devaluation" in MDD and "Confusion" in BD, displayed strong centrality. The network comparison test did not reveal significant differences in the network structure between MDD and BD. Conclusions: The absence of significant differences in the network structures between MDD and BD suggests that the underlying mechanisms of depressive symptoms may be similar across these disorders. The identified central symptoms, including "Depressed affect", in both disorders and the distinct non-core symptoms in each highlight the complexity of the depressive symptomatology. Future research should focus on validating these symptoms as therapeutic targets and incorporate various methodologies, including non-metric dimension reduction techniques or canonical analysis.

Correlation between emotion dysregulation and mood symptoms of bipolar disorder: A systematic review and meta-analysis

BACKGROUND

Emotion dysregulation (ED) is a transdiagnostic construct characterized by difficulties regulating intense emotions. People with bipolar disorder (BD) are more likely to show ED and use maladaptive emotion regulation strategies than adaptive ones. However, little is known about whether ED in BD is a trait or it is rather an epiphenomenon of mood symptoms.

METHODS

We conducted a systematic review and meta-analysis of the evidence across major literature databases reporting correlations between measures of emotion regulation (overall ED and different emotion regulation strategies) and measures of depressive and (hypo)manic symptoms in BD from inception until April 12th, 2022.

RESULTS

Fourteen studies involving 1371 individuals with BD were included in the qualitative synthesis, of which 11 reported quantitative information and were included in the meta-analysis. ED and maladaptive strategies were significantly higher during periods with more severe mood symptoms, especially depressive ones, while adaptive strategies were lower.

CONCLUSION

ED significantly correlates with BD symptomatology, and it mainly occurs during mood alterations. ED may be a target for specific psychotherapeutic and pharmacological treatments, according to precision psychiatry. However, further studies are needed, including patients with mood episodes and longitudinal design, to provide more robust evidence and explore the causal direction of the associations.

Characteristics Associated With Loneliness and Coping Skills Utilization During the COVID-19 Pandemic

Although stay-at-home orders and physical distancing measures are vital to managing the COVID-19 outbreak, there is concern these limitations on in-person contact may increase feelings of loneliness. The present study examined loneliness in relation to living situation, psychiatric symptoms, and coping skills utilization during the COVID-19 pandemic. The aim was to identify demographic and psychological factors that may contribute to greater feelings of loneliness. A sample of 125 adults (18 years and older) completed measures on loneliness, psychiatric symptoms, and coping skills in September 2020. Multiple regression analysis indicated living situation moderates the relationship between hours spent having remote conversations and loneliness. Remote conversation hours were associated with decreased loneliness in those living alone but was not associated with loneliness in those living with others. Multivariate regression analysis indicated that substance use and self-blame were associated with increased loneliness whereas the use of emotional support to cope with pandemic-related stress was associated with decreased loneliness. The current study highlights the importance of finding alternative ways to remain socially connected, particularly for those living alone. Increasing access to videoconferencing technology and promoting help-seeking behaviors may be a promising approach to manage loneliness during times of increased social isolation.

Suicidal ideation across depressive episodes: 9-year longitudinal cohort study

BACKGROUND

Depression is a highly recurrent disorder, with more than 50% of those affected experiencing a subsequent episode. Although there is relatively little stability in symptoms across episodes, some evidence indicates that suicidal ideation may be an exception. However, these findings warrant replication, especially over longer periods and across multiple episodes.

AIMS

To assess the relative stability of suicidal ideation in comparison with other non-core depressive symptoms across episodes.

METHOD

We examined 490 individuals with current major depressive disorder (MDD) at baseline and at least one subsequent episode during 9-year follow-up within the Netherlands Study of Depression and Anxiety (NESDA). The Inventory of Depressive Symptomatology (IDS) was used to assess DSM-5 non-core MDD symptoms (fatigue, appetite/weight change, sleep disturbance, psychomotor disturbance, concentration difficulties, worthlessness/guilt, suicidal ideation) at baseline and 2-, 4-, 6- and 9-year follow-up. We examined consistency in symptom presentation (i.e. whether the symptom met the diagnostic threshold, based on a binary categorisation of the IDS) using kappa (κ) and percentage agreement, and stability in symptom severity using Spearman correlation, based on the continuous IDS scores.

RESULTS

Out of all non-core depressive symptoms, insomnia appeared the most stable across episodes (r = 0.55-0.69, κ = 0.31-0.47) and weight decrease the least stable (r = 0.03-0.33, κ = 0.06-0.19). For suicidal ideation, correlations across episodes ranged from r = 0.36 to r = 0.55 and consistency ranged from κ = 0.28 to κ = 0.49.

CONCLUSIONS

Suicidal ideation is moderately stable in recurrent depression over 9 years. Contrary to prior reports, however, it does not exhibit substantially more stability than most other non-core symptoms of depression.

Caregiver Psychological Burden in Pediatric Chronic Pain: A Systematic Review and Meta-Analysis of Associations with Caregiver Sociodemographic and Biopsychosocial Variables

OBJECTIVE

To investigate, via systematic review and meta-analysis, caregiver sociodemographic and biopsychosocial factors associated with anxiety, depression, posttraumatic stress symptoms, and stress of caregivers in the pediatric chronic pain context.

METHODS

EMBASE, Medline, and PsycINFO databases were searched from their inception to the search date (April 4, 2022). Studies were included if they examined caregivers of youth with chronic pain, were published in a peer-reviewed journal and assessed at least one quantitative association between relevant variables. Qualitative and intervention studies were excluded. A total of 3,052 articles were screened. Risk of bias was assessed using the JBI Checklist for analytical cross-sectional studies. Meta-analyses were conducted using robust variance estimation for associations reported in at least three studies, as well as a narrative synthesis of the evidence.

RESULTS

Fourteen studies assessing 1,908 caregivers were included in this review. Meta-analytic results showed a positive pooled correlation coefficient between caregiver catastrophizing about their child's pain and caregiver anxiety (r = 0.51; 95% CI: 0.35-0.65; p<.01) and depression (r = 0.45; 95% CI: 0.29-0.58; p < .01). Self-blame and helplessness were related to increased caregiver anxiety (r = 0.55; 95% CI: 0.40-0.67; p<.01), but not depression. No significant relationship was found for pain-promoting behavior and anxiety or depression. The qualitative synthesis of all other eligible studies showed associations between relevant psychological burden variables and various caregiver factors, which were mainly psychosocial.

CONCLUSION

Results should be interpreted with caution due to the small number of studies. Further research is needed to get a better understanding of these relationships and to examine the causal direction of effects.

Relationship Between Social Withdrawal (Hikikomori), Personality, and Coping in an Adult Population

OBJECTIVE

The aim of this study was to investigate the relationships between personality dimensions, coping strategies, and Hikikomori while controlling for the presence of depression and anxiety.

METHODS

Two groups, recruited on social networks, were compared: the control group (n=101, mean age±standard deviation [SD]= 36.2±12.8 years) and the Hikikomori group (n=28, mean age±SD=30.1±9.1 years). Participants of both groups completed the Big Five Inventory, the Brief Coping Orientation to Problems Experienced, and the Hospital Anxiety and Depression Scale.

RESULTS

The Hikikomori group had higher depression, anxiety, neuroticism, and dysfunctional coping dimension (self-blame and behavioral disengagement) scores than the control group. Being alone and depression were positively associated with Hikikomori while extraversion and instrumental support were negatively associated with Hikikomori.

CONCLUSION

These findings contribute to a better understanding of the psychological functioning of Hikikomori as well as to treatment elaboration and confirm that some psychological characteristics are transcultural.

Self-blame-selective hyper-connectivity between anterior temporal and subgenual cortices predicts prognosis in major depressive disorder

BACKGROUND

Self-blame-related fMRI measures were shown to predict subsequent recurrence in remitted major depressive disorder (MDD). Their role in current MDD, however, is unknown. We hypothesised that these neural signatures reflect a highly recurrent but remitting course of MDD and therefore predict favourable outcomes over a four-month follow-up period in current MDD.

METHODS

Forty-five participants with current MDD and non-responders to at least two serotonergic antidepressants, were encouraged to optimise their medication and followed up after receiving four months of primary care treatment-as-usual. Prior to their medication review, participants completed an fMRI paradigm in which they viewed self- and other-blame emotion-evoking statements. Thirty-nine participants met pre-defined fMRI data minimum quality thresholds. Psychophysiological interaction analysis was used to determine baseline connectivity of the right superior anterior temporal lobe (RSATL), with an a priori BA25 region-of-interest for self-blaming vs other-blaming emotions, using Quick Inventory of Depressive Symptomatology (16-item) percentage change as a covariate.

RESULTS

We corroborated our pre-registered hypothesis that a favourable clinical outcome was associated with higher self-blame-selective RSATL-BA25 connectivity (Family-Wise Error-corrected p <.05 over the a priori BA25 region-of-interest; rs(34) = -0.47, p =.005). This generalised to the sample including participants with suboptimal fMRI quality (rs(39) = -0.32, p =.05).

CONCLUSIONS

This study shows that neural signatures of overgeneralised self-blame are relevant for prognostic stratification of current treatment-resistant MDD. Future studies need to confirm whether this neural signature indeed represents a trait-like feature of a fully remitting subtype of MDD, or whether it is also modulated by depressive state and related to treatment effects.

The contribution of guilt sensitivity in the prediction of obsessive-compulsive disorder symptom dimensions: Replication and extension

BACKGROUND

Obsessive-compulsive disorder (OCD) is associated with particular cognitive processes, such as beliefs about the importance of intrusive thoughts. The present study examined the explanatory power of guilt sensitivity to OCD symptom dimensions after controlling for well-established cognitive predictors.

METHODS

164 patients with OCD completed self-reported measures of OCD and depressive symptoms, obsessive beliefs, and guilt sensitivity. Bivariate correlations were examined, and latent profile analysis (LPA) was used to generate groups based on symptom severity scores. Differences in guilt sensitivity were examined across latent profiles.

RESULTS

Guilt sensitivity was most strongly associated with unacceptable thoughts and responsibility for harm OCD symptoms, and moderately with symmetry. After controlling for depression and obsessive beliefs, guilt sensitivity added explanatory power to the prediction of unacceptable thoughts. LPA identified 3 profiles; profile-based subgroups significantly differed from one another in terms of guilt sensitivity, depression, and obsessive beliefs.

CONCLUSIONS

Guilt sensitivity is relevant to various OCD symptom dimensions. Above and beyond depression and obsessive beliefs, guilt sensitivity contributed to the explanation of repugnant obsessions. Theory, research, and treatment implications are discussed.

Self-blame in major depression: a randomised pilot trial comparing fMRI neurofeedback with self-guided psychological strategies

BACKGROUND

Overgeneralised self-blame and worthlessness are key symptoms of major depressive disorder (MDD) and have previously been associated with self-blame-selective changes in connectivity between right superior anterior temporal lobe (rSATL) and subgenual frontal cortices. Another study showed that remitted MDD patients were able to modulate this neural signature using functional magnetic resonance imaging (fMRI) neurofeedback training, thereby increasing their self-esteem. The feasibility and potential of using this approach in symptomatic MDD were unknown.

METHOD

This single-blind pre-registered randomised controlled pilot trial probed a novel self-guided psychological intervention with and without additional rSATL-posterior subgenual cortex (BA25) fMRI neurofeedback, targeting self-blaming emotions in people with insufficiently recovered MDD and early treatment-resistance (n = 43, n = 35 completers). Participants completed three weekly self-guided sessions to rebalance self-blaming biases.

RESULTS

As predicted, neurofeedback led to a training-induced reduction in rSATL-BA25 connectivity for self-blame v. other-blame. Both interventions were safe and resulted in a 46% reduction on the Beck Depression Inventory-II, our primary outcome, with no group differences. Secondary analyses, however, revealed that patients without DSM-5-defined anxious distress showed a superior response to neurofeedback compared with the psychological intervention, and the opposite pattern in anxious MDD. As predicted, symptom remission was associated with increases in self-esteem and this correlated with the frequency with which participants employed the psychological strategies in daily life.

CONCLUSIONS

These findings suggest that self-blame-rebalance neurofeedback may be superior over a solely psychological intervention in non-anxious MDD, although further confirmatory studies are needed. Simple self-guided strategies tackling self-blame were beneficial, but need to be compared against treatment-as-usual in further trials. https://doi.org/10.1186/ISRCTN10526888.

A Semantic Cognition Contribution to Mood and Anxiety Disorder Pathophysiology

Over the last two decades, the functional role of the bilateral anterior temporal lobes (bATLs) has been receiving more attention. They have been associated with semantics and social concept processing, and are regarded as a core region for depression. In the past, the role of the ATL has often been overlooked in semantic models based on functional magnetic resonance imaging (fMRI) due to geometric distortions in the BOLD signal. However, previous work has unequivocally associated the bATLs with these higher-order cognitive functions following advances in neuroimaging techniques to overcome the geometric distortions. At the same time, the importance of the neural basis of conceptual knowledge in understanding mood disorders became apparent. Theoretical models of the neural basis of mood and anxiety disorders have been classically studied from the emotion perspective, without concentrating on conceptual processing. However, recent work suggests that the ATL, a brain region underlying conceptual knowledge, plays an essential role in mood and anxiety disorders. Patients with anxiety and depression often cope with self-blaming biases and guilt. The theory is that in order to experience guilt, the brain needs to access the related conceptual information via the ATL. This narrative review describes how aberrant interactions of the ATL with the fronto–limbic emotional system could underlie mood and anxiety disorders.

Investigation of the Role of Cognitive Emotion Regulation Strategies on Depressive Symptoms in Mothers of Children Given A Diagnosis of Cancer

BACKGROUND

The role of cognitive emotion regulation on depressive symptoms in mothers of children given a diagnosis of cancer is not yet well understood.

OBJECTIVE

The aim of this study was to investigate the effect of cognitive emotion regulation strategies on depressive symptoms in mothers of children with cancer.

METHODS

This study was conducted with a cross-sectional correlational design. The study included 129 participants. Participants completed the sociodemographic characteristics form, Beck Depression Inventory, and Cognitive Emotion Regulation Questionnaire. Hierarchical regression analysis was performed to determine the effect of cognitive emotion regulation strategies on depressive symptoms.

RESULTS

Hierarchical multiple regression revealed that depressive symptoms were independently associated with self-blame (β = 0.279, P = .001) and catastrophizing (β = 0.244, P = .003) after controlling for sociodemographic characteristics of mothers. Emotion regulation strategies explained approximately 39.9% of the variance in depressive symptoms.

CONCLUSION

The results of the study indicate that more frequent engagement of self-blame and catastrophizing were associated with more depressive symptoms.

IMPLICATIONS FOR PRACTICE

Nurses should screen mothers of children with cancer for depressive symptoms and identify mothers of children with cancer who use maladaptive cognitive emotion regulation strategies, such as self-blame and catastrophizing, as a risk group. Furthermore, nurses need to be involved in developing psychosocial interventions including adaptive cognitive emotion regulation strategies to help mothers coping with adverse emotions during a childhood cancer journey.

A Systematic Review of Black People Coping With Racism: Approaches, Analysis, and Empowerment

This article reviews the current research literature concerning Black people in Western societies to better understand how they regulate their emotions when coping with racism, which coping strategies they use, and which strategies are functional for well-being. A systematic review of the literature was conducted, and 26 studies were identified on the basis of a comprehensive search of multiple databases and reference sections of relevant articles. Studies were quantitative and qualitative, and all articles located were from the United States or Canada. Findings demonstrate that Black people tend to cope with racism through social support (friends, family, support groups), religion (prayer, church, spirituality), avoidance (attempting to avoid stressors), and problem-focused coping (confronting the situation directly). Findings suggest gender differences in coping strategies. We also explore the relationship between coping with physical versus emotional pain and contrast functional versus dysfunctional coping approaches, underscoring the importance of encouraging personal empowerment to promote psychological well-being. Findings may help inform mental-health interventions. Limitations include the high number of American-based samples and exclusion of other Black ethnic and national groups, which is an important area for further exploration.

Comparing the centrality symptoms of major depressive disorder samples across junior high school students, senior high school students, college students and elderly adults during city lockdown of COVID-19 pandemic-A network analysis

INTRODUCTION

Recently, in the view of network analysis, depression has been conceptualized as a complex and dynamic network model combining individual symptoms. To date, no studies have systematically examined and compared depressive symptom networks across different populations.

METHODS

A total of 36,105 participants were recruited and asked to complete the Patient Health Questionnaire-9 among junior high school students, senior high school students, college students, and elderly adults who were more susceptible to depression during the COVID-19 lockdown in China. In the analysis, we applied the optimal cutoff score ≥ 8 for students and a score ≥ 6 for elderly adults to identify 5830 participants who were likely to be depressed. The index of "strength" was used to identify central symptoms in the network structure.

RESULTS

The results showed that Sad Mood was the most central symptom among junior high school students, senior high school students, and college students, but the most central symptom in the elderly was Guilt. Among the top three central symptoms, Suicide Ideation was unique to senior high school students, while Anhedonia was most prevalent among college students. Guilt - Suicide Ideation, Anhedonia - Energy, Anhedonia - Sad Mood, and Sleep - Energy showed the strongest association among junior and senior high school students, college students, and elderly adults, respectively. NCT (i.e., Network Comparison Test) suggested that the network's global connectivity was ultimately inconsistent, but the network structure remained roughly intact.

CONCLUSION

In treatment, targeting central symptoms may be critical to alleviating depression.

Identifying pathways between psychiatric symptoms and psychosocial functioning in the general population

The present study aims to identify pathways between psychiatric network symptoms and psychosocial functioning and their associated variables among functioning clusters in the general population. A cross-sectional web-based survey was administered in a total of 3,023 individuals in Brazil. The functioning clusters were derived by a previous study identifying three different groups based on the online Functioning Assessment Short Test. Networking analysis was fitted with all items of the Patient-Reported Outcomes Measurement Information System for depression and for anxiety (PROMIS) using the mixed graphical model. A decision tree model was used to identify the demographic and clinical characteristics of good and low functioning. A total of 926 (30.63%) subjects showed good functioning, 1,436 (47.50%) participants intermediate functioning, and 661 (21.86%) individuals low functioning. Anxiety and uneasy symptoms were the most important nodes for good and intermediate clusters but anxiety, feeling of failure, and depression were the most relevant symptoms for low functioning. The decision tree model was applied to identify variables capable to discriminate individuals with good and low functioning. The algorithm achieved balanced accuracy 0.75, sensitivity 0.87, specificity 0.63, positive predictive value 0.63 negative predictive value 0.87 (p<0.001), and an area under the curve of 0.83 (95%CI:0.79-0.86, p<0.01). Our results show that individuals who present psychological distress are more likely to experience poor functional status, suggesting that this subgroup should receive a more comprehensive psychiatric assessment and mental health care.

Promoting engagement with self-guided digital therapeutics for mental health: Insights from a cross-sectional survey of end-users

BACKGROUND

Poor engagement has hindered the dissemination of self-guided digital therapeutics for mental health. Evidence on the efficacy of technology-supported strategies designed for increasing engagement with these interventions is currently inconclusive. Few studies have examined user perceptions of such strategies, which could yield key insights for enhancing their effectiveness.

METHODS

Two hundred and eleven participants completed a cross-sectional online survey. All participants were aged 18 years and above, living in Australia, fluent in English, and self-reported prior use of digital therapeutics for mental health needs. Survey items elicited participants' views on factor(s) contributing to their engagement/disengagement with digital therapeutics, and perceptions of engagement strategies, including: automated electronic reminders, fun facts, quizzes, and social media platforms. χ² tests of independence were used to analyse nominal data. Inductive thematic analysis was used to analyse free-text data.

RESULTS

Factors facilitating engagement included digestible content, assurance of confidentiality, and esthetically appealing design. Factors hindering engagement included lack of time, forgetfulness, and lack of perceived intervention efficacy. Participants had mixed views over the feasibility and acceptability of the strategies explored toward promoting engagement.

CONCLUSIONS

Regardless of strategy type, succinct and easily applicable content was identified as an important feature for promoting engagement. Conversely, content that could trigger psychological distress among intervention users should be avoided. Overall, the diverse range of user perspectives highlighted that engagement strategies for any specific digital intervention should be co-designed with individuals with lived experience of mental health difficulties.

The role of maladaptive emotion regulation in the bidirectional relation between sleep and depression in college students during the COVID-19 pandemic

Background: Emotion regulation deficits are an outcome and risk factor for both insomnia and depression, suggesting that maladaptive emotion regulation might in part explain the bi-directional links between sleep and depression. The current study tests this hypothesis during the COVID-19 pandemic in emerging adult undergraduate students, a high-risk population for both depression and sleep disturbance.Methods: A sample of 154 undergraduate students completed a series of online questionnaires bi-weekly on sleep, depression, and emotion regulation strategies across eight weeks during the early days of the COVID-19 pandemic (April 2nd to June 27th, 2020).Results: Sleep disturbance and depression prospectively predicted one another across eight weeks, and both directions were mediated by maladaptive emotion regulation. However, sleep and depression failed to predict change in one another controlling for baseline measures, directly or via emotion regulation.Conclusions: The results suggest that maladaptive emotion regulation is a potential mechanism through which sleep disturbance and depression help maintain high levels of one another in college students during the COVID-19 pandemic. Therefore, emotion regulation deficits are potentially an important target for interventions to interrupt the sleep disturbance-depression cycle.

Disgust as a transdiagnostic index of mental illness: A narrative review of clinical populations

Disgust is a basic emotion of rejection, providing an ancestral defensive mechanism against illness. Based on research that documents altered experiences of disgust across several psychopathological conditions, we conducted a narrative review to address the hypothesis that altered disgust may serve as a transdiagnostic index of mental illness. Our synthesis of the literature from past decades suggests that, compared to healthy populations, patients with mental disorders exhibit abnormal processing of disgust in at least one of the analyzed dimensions. We also outline evidence of alterations in brain areas relevant to disgust processing, such as the insula and the interconnected limbic network. Overall, we provide preliminary support for the hypothesis that altered disgust processing may serve as a transdiagnostic index of mental illness.

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

Psychosocial and stress-related factors (PSFs), defined as internal or external stimuli that induce biological changes, are potentially modifiable factors and accessible targets for interventions that are associated with adverse pregnancy outcomes (APOs). Although individual APOs have been shown to be connected to PSFs, they are biologically interconnected, relatively infrequent, and therefore challenging to model. In this context, multi-task machine learning (MML) is an ideal tool for exploring the interconnectedness of APOs on the one hand and building on joint combinatorial outcomes to increase predictive power on the other hand. Additionally, by integrating single cell immunological profiling of underlying biological processes, the effects of stress-based therapeutics may be measurable, facilitating the development of precision medicine approaches.

Objectives

The primary objectives were to jointly model multiple APOs and their connection to stress early in pregnancy, and to explore the underlying biology to guide development of accessible and measurable interventions.

Materials and Methods

In a prospective cohort study, PSFs were assessed during the first trimester with an extensive self-filled questionnaire for 200 women. We used MML to simultaneously model, and predict APOs (severe preeclampsia, superimposed preeclampsia, gestational diabetes and early gestational age) as well as several risk factors (BMI, diabetes, hypertension) for these patients based on PSFs. Strongly interrelated stressors were categorized to identify potential therapeutic targets. Furthermore, for a subset of 14 women, we modeled the connection of PSFs to the maternal immune system to APOs by building corresponding ML models based on an extensive single cell immune dataset generated by mass cytometry time of flight (CyTOF).

Results

Jointly modeling APOs in a MML setting significantly increased modeling capabilities and yielded a highly predictive integrated model of APOs underscoring their interconnectedness. Most APOs were associated with mental health, life stress, and perceived health risks. Biologically, stressors were associated with specific immune characteristics revolving around CD4/CD8 T cells. Immune characteristics predicted based on stress were in turn found to be associated with APOs.

Conclusions

Elucidating connections among stress, multiple APOs simultaneously, and immune characteristics has the potential to facilitate the implementation of ML-based, individualized, integrative models of pregnancy in clinical decision making. The modifiable nature of stressors may enable the development of accessible interventions, with success tracked through immune characteristics.

A Reasoned Action Approach to Depression Help-Seeking Messaging for College Students: Implications of Cognitive Biases in Depression

In this study we integrated insights from research on cognitive biases in depression with the reasoned action approach to predicting and changing behavior (RAA) with the goal of identifying implications for help-seeking messaging for college students with varying levels of depression. Findings from a sample of 374 U.S. college students support the ability of RAA to explain help-seeking intentions for non-depressed, mildly depressed students, and moderate to severely depressed students. More severe depression was associated with less favorable attitudes, perceived norms, perceived capacity, and intention; changes in the relative strength of attitudes, perceived norms, and perceived capacity in explaining help-seeking intentions; stronger expectations of negative outcomes of help-seeking and weaker expectations of positive outcomes; and to some extent, stronger expectations of negative outcomes for oneself than for others. These findings underscore that depressed students construe help-seeking differently than non-depressed students, and that depressed and non-depressed students need different help-seeking messages.

Community participation as a predictor of depressive symptoms among individuals with serious mental illnesses

BACKGROUND

People with serious mental illnesses have elevated levels of depressive symptoms. Limited engagement in meaningful activities, such as work, social interactions, volunteering, and participation in faith, are one plausible explanation for this. Increased community participation over time may be associated with decreased depressive symptoms.

AIM

Examine whether an increase in participation over time predicts a decrease in depression after controlling for depression at the baseline.

METHODS

Participants were 183 adults with schizophrenia spectrum, bipolar disorder, or major depressive disorder who completed the Hopkins Symptom Index - Depression subscale and the Temple University Community Participation Measure. Participants completed these measures at baseline and either a 12- or 24-month follow-up timepoint. Multiple regression analyses were conducted with the depression score as a dependent variable and changes in community participation as a predictor variable. Demographics, baseline depression score, and time interval between baseline and last observation were entered as control variables.

RESULTS

Endorsing more activities as important, participating in more important areas that are important, and participating 'enough' in more important areas over time were each significant predictors of decreases in depression.

CONCLUSION

These findings enhance the connection between community participation and depression and suggest that a focus on participation may be important in terms of boosting both community functioning and treatment goals.

Emotion malleability beliefs influence emotion regulation and emotion recovery among individuals with depressive symptoms

Despite the centrality of emotion regulation in psychiatric disorders such as depression, there is a lack of experimental studies examining the psychological factors that influence emotion regulation in individuals with depressive symptoms. Participants with current depressive symptoms were randomly assigned to an experimental manipulation promoting more malleable emotion beliefs or the control condition. Participants underwent a negative emotion induction and reported on their affect and emotion regulation during the induction. Individuals who received the experimental manipulation reported greater cognitive reappraisal and greater emotion recovery. Experimental manipulations that can enhance emotion regulation and emotion recovery possess significant promise as a preliminary step in developing brief interventions that can overcome formal barriers to care.

Automatic Identification of a Depressive State in Primary Care

The Center for Epidemiologic Studies Depression Scale (CES-D) performs well in screening depression in primary care. However, people are looking for alternatives because it screens for too many items. With the popularity of social media platforms, facial movement can be recorded ecologically. Considering that there are nonverbal behaviors, including facial movement, associated with a depressive state, this study aims to establish an automatic depression recognition model to be easily used in primary healthcare. We integrated facial activities and gaze behaviors to establish a machine learning algorithm (Kernal Ridge Regression, KRR). We compared different algorithms and different features to achieve the best model. The results showed that the prediction effect of facial and gaze features was higher than that of only facial features. In all of the models we tried, the ridge model with a periodic kernel showed the best performance. The model showed a mutual fund R-squared (R2) value of 0.43 and a Pearson correlation coefficient (r) value of 0.69 (p < 0.001). Then, the most relevant variables (e.g., gaze directions and facial action units) were revealed in the present study.

Emotion regulation strategy correlates with discrete state emotion in major depression

BACKGROUND AND OBJECTIVES

Research has shown that state emotion can affect emotion regulation strategies in healthy samples. Emotion regulation plays an important role in depression. We hypothesized that for depressed individuals, experiencing anxiety or anger affects emotion regulation strategy use differently than experiencing sadness.

DESIGN AND METHODS

Individuals diagnosed with chronic or recurrent depression (N = 386) responded to vignettes of hypothetical stressors and reported their state emotions and emotion regulation strategies in a thought-listing procedure. We modeled the effect of reporting anger or anxiety compared to sadness on the use of seven emotion regulation strategies: avoidance, distraction, other-blame, problem-solving, rumination, self-blame, and social support.

RESULTS

Compared to sadness, anger was associated with a greater likelihood of using other-blame, and a lower likelihood of using avoidance, rumination, or self-blame. Compared to sadness, anxiety was associated with a greater likelihood of using self-blame. Responses with anger or anxiety did not significantly differ from sadness in coder-rated adaptiveness.

CONCLUSIONS

Differences in observed emotion regulation strategy use were correlated with the discrete emotions experienced, and not overall adaptiveness of a response. These results highlight the importance of assessing for emotion type when studying emotion regulation strategy use in depression.

The effect of male and female factor infertility on women's anxiety, depression, self-esteem, quality of life and sexual function parameters: a prospective, cross-sectional study from Turkey

OBJECTIVES

Despite the development of diagnosis and treatment methods, the psychological effects of infertility on women were not adequately addressed. This study investigated the effect of male and female factor infertility on women's anxiety, depression, self-esteem, quality of life, and sexual function parameters.

METHODS

In this prospective, cross-sectional study, 480 women [n = 234, with male factor infertility (MFI) (MFI group) and n = 246, with female factor infertility (FFI) (FFI group)], who could not conceive despite unprotected intercourse for 1 year, and 242 fertile healthy women (control group) who had children within the last 1 year were included. Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II), Rosenberg Self Esteem Scale (RSES), Fertility Quality of Life (FertiQol) and Female Sexual Function Index (FSFI) questionnaires were used for patients' evaluation.

RESULTS

RSES, BAI and BDI-II scores were significantly higher and FSFI score was significantly lower in the FFI group compared to other groups. RSES, BAI and BDI-II scores were also significantly higher and FSFI score was significantly lower in the MFI group compared to the control group. FertiQol total score was significantly lower in the FFI group compared to the MFI group. RSES score was positively correlated with BDI-II and BAI scores; however, it was negatively correlated with FertiQol and FSFI scores.

CONCLUSIONS

The negative psychological effects of infertility are ignored by many centres, especially in the treatment process of infertility. Regardless of the infertility factor (male or female), we believe that psychological support should be given to all women to improve their life quality.

Disentangling the associations between past childhood adversity and psychopathology during the COVID-19 pandemic: The mediating roles of specific pandemic stressors and coping strategies

BACKGROUND

Individuals with a history of adverse childhood experiences (ACEs) display heightened symptoms of psychopathology during the COVID-19 pandemic. Yet, no study has investigated what aspects of the pandemic are of particular concern for this population and ways in which strategies to coping with pandemic stressors may exacerbate their clinical symptomatology.

OBJECTIVE

This study explores what pandemic stressors and coping strategies are associated with ACEs, depression, and posttraumatic stress disorder (PTSD) during the COVID-19 pandemic, before investigating whether the identified chief stressors and coping styles mediate the effects of ACEs on depression and PTSD.

PARTICIPANTS AND SETTING

1107 Greek adults were sampled from the general population.

METHODS

Participants completed the Adverse Childhood Experiences Questionnaire, Patient Health Questionnaire, Primary Care PTSD Screen for DSM-5, Pandemic Stressor Scale, and Brief Cope Scale.

RESULTS

ACEs and depression were both predominantly associated with difficult housing conditions as a stressor (b = 0.079, p < .001 and b = 0.046, p < .001, respectively), whereas PTSD was mainly related to fear of contracting the COVID-19 virus (b = 0.065, p < .001). Self-blame was the main coping strategy associated with both ACEs (b = 0.046, p = .010), depression (b = 0.071, p < .0005), and PTSD (b = 0.088, p < .0005). Difficult housing conditions and self-blame further demonstrated a significant serial mediation effect in the relationship between ACEs with both depression (b = 0.105, 95% CI [0.0607, 0.158]) and PTSD (b = 0.019, 95% CI [0.011, 0.031]).

CONCLUSIONS

The findings indicate that policy makers should identify ways of ameliorating challenging housing conditions, and that service providers should target self-blame in the psychological treatment of adults with ACEs during the COVID-19 pandemic.

Subgenual activation and the finger of blame: individual differences and depression vulnerability

BACKGROUND

Subgenual cingulate cortex (SCC) responses to self-blaming emotion-evoking stimuli were previously found in individuals prone to self-blame with and without a history of major depressive disorder (MDD). This suggested SCC activation reflects self-blaming emotions such as guilt, which are central to models of MDD vulnerability.

METHOD

Here, we re-examined these hypotheses in an independent larger sample. A total of 109 medication-free participants (70 with remitted MDD and 39 healthy controls) underwent fMRI whilst judging self- and other-blaming emotion-evoking statements. They also completed validated questionnaires of proneness to self-blaming emotions including those related to internal (autonomy) and external (sociotropy) evaluation, which were subjected to factor analysis.

RESULTS

An interaction between group (remitted MDD v. Control) and condition (self- v. other-blame) was observed in the right SCC (BA24). This was due to higher SCC signal for self-blame in remitted MDD and higher other-blame-selective activation in Control participants. Across the whole sample, extracted SCC activation cluster averages for self- v. other-blame were predicted by a regression model which included the reliable components derived from our factor analysis of measures of proneness to self-blaming emotions. Interestingly, this prediction was solely driven by autonomy/self-criticism, and adaptive guilt factors, with no effect of sociotropy/dependency.

CONCLUSIONS

Despite confirming the prediction of SCC activation in self-blame-prone individuals and those vulnerable to MDD, our results suggest that SCC activation reflects blame irrespective of where it is directed rather than selective for self. We speculate that self-critical individuals have more extended SCC representations for blame in the context of self-agency.

Coping with multiple sclerosis: reconciling significant aspects of health-related quality of life

Multiple sclerosis (MS) symptoms and unpredictability can damage patient well-being. This study is aimed to investigate the relation between sociodemographic and clinical characteristics and the use of coping strategies as well as social support on health-related quality of life (HRQOL). We evaluated 314 MS outpatients of Virgen Macarena University Hospital in Sevilla/Spain (mean age 45 years, 67.8% women) twice over an 18-months period by Brief COPE Questionnaire (COPE-28), Multidimensional Scale of Perceived Social Support (MSPSS) and 12-Item Short Form Health Survey (SF-12). Female gender was significantly related to religion (r= 0.175, p< 0.001), self-distraction (r= 0.160, p< 0.001) and self-blame (r= 0.131, p< 0.05). Age correlated positively with religion (r= 0.240, p< 0.001), and self-blame (r= 0.123, p< 0.05). Progressive MS as well as functional impairment (EDSS) showed a positive relation with denial (r= 0.125, p< 0.05; r= 0.150, p< 0.001). Longer duration since diagnosis was related to lower perceived support from family (r= -0.123, p< 0.05). EDSS (β= -0.452, p< 0.001) was the strongest negative predictor of physical HRQOL followed by age (β= -0.123, p< 0.001), whereas family support was a protective factor (β= 0.096, p< 0.001). Denial (β= -0.132, p< 0.05), self-blame (β= -0.156, p< 0.05), female gender (β= -0.115, p< 0.05) and EDSS (β= -0.108, p< 0.05) negatively impacted on mental HRQOL 18 months later, whereas positive reframing (β= 0.142, p< 0.05) was a protective factor. Our study could identify sociodemographic and clinical variables associated with dysfunctional coping strategies, such as self-blame and denial, which specifically predict worse mental HRQOL as opposed to positive reframing. Diminishing dysfunctional coping and supporting cognitive reframing may contribute to improve HRQOL in MS.

Disrupted Spatiotemporal Complexity of Resting-State Electroencephalogram Dynamics Is Associated With Adaptive and Maladaptive Rumination in Major Depressive Disorder

Patients with major depressive disorder (MDD) exhibit abnormal rumination, including both adaptive and maladaptive forms. However, the neural substrates of rumination in depression remain poorly understood. We hypothesize that divergent spatiotemporal complexity of brain oscillations would be associated with the levels of rumination in MDD. We employed the multi-scale entropy (MSE), power and phase-amplitude coupling (PAC) to estimate the complexity of rhythmic dynamics from the eye-closed high-density electroencephalographic (EEG) data in treatment-naive patients with MDD (n = 24) and healthy controls (n = 22). The depressive, brooding, and reflective subscales of the Ruminative Response Scale were assessed. MDD patients showed higher MSE in timescales finer than 5 (cluster P = 0.038) and gamma power (cluster P = 0.034), as well as lower PAC values between alpha/low beta and gamma bands (cluster P = 0.002- 0.021). Higher reflective rumination in MDD was region-specifically associated with the more localized EEG dynamics, including the greater MSE in scales finer than 8 (cluster P = 0.008), power in gamma (cluster P = 0.018) and PAC in low beta-gamma (cluster P = 0.042), as well as weaker alpha-gamma PAC (cluster P = 0.016- 0.029). Besides, the depressive and brooding rumination in MDD showed the lack of correlations with global long-range EEG variables. Our findings support the disturbed neural communications and point to the spatial reorganization of brain networks in a timescale-dependent migration toward local during adaptive and maladaptive rumination in MDD. These findings may provide potential implications on probing and modulating dynamic neuronal fluctuations during the rumination in depression.

The diagnostic and predictive potential of personality traits and coping styles in major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a global public health concern that is notably underdiagnosed and undertreated due to its complexity and subjective diagnostic methods. A holistic diagnostic procedure, which sufficiently considers all possible contributors to MDD symptoms, would improve MDD diagnosis and treatment. This study aims to explore whether personality and coping styles can predict MDD status and differentiate between depressed patients and healthy individuals.

METHODS

Seventy healthy controls (N = 54 females) were matched to 70 MDD patients for age, sex, ethnicity, and years of education. MDD severity was measured using the Hamilton Depression Rating Scale, while personality traits and coping styles were measured by the Ten-Item Personality (TIPI) and Brief COPE questionnaires, respectively. Logistic regression analyses were conducted to investigate the diagnostic and predictive potential of personality and coping styles. Receiver operating characteristic (ROC) analyses were also conducted to examine their discriminative ability to distinguish between depressed and healthy individuals.

RESULTS

Introversion, lack of organisation skills, and neuroticism were statistically significant in predicting MDD status. Dysfunctional coping strategies, such as denial and self-blame, were also shown to significantly predict MDD status. ROC analyses found both the TIPI questionnaire (AUC = 0.90), and dysfunctional coping (as measured by Brief COPE) (AUC = 0.90) to be excellent predictors of MDD.

CONCLUSIONS

Our findings demonstrate the diagnostic and predictive potential of personality and coping styles for MDD in the clinical setting. They also demonstrate the remarkable ability of personality and coping styles to differentiate between depressed patients and healthy controls.

Maternal Suicide Ideation and Behaviour During Pregnancy and the First Postpartum Year: A Systematic Review of Psychological and Psychosocial Risk Factors

Suicide is a leading cause of maternal death during pregnancy and up to a year after birth (perinatal period). Many psychological and psychosocial risk factors for maternal suicidal ideation and behaviour have been investigated. Despite this, there have been no attempts to systematically search the literature on these risk factors. Additionally, few studies have described how the risk factors for suicidal ideation, attempted suicides and suicide deaths differ, which is essential for the development of tools to detect and target suicidal ideation and behaviour. Seven databases were searched up to June 2021 for studies that investigated the association between suicidal ideation and/or suicidal behaviour and psychological/psychosocial risk factors in pregnant and postpartum women. The search identified 17,338 records, of which 59 were included. These 59 studies sampled a total of 49,929 participants and investigated 32 different risk factors. Associations between abuse, experienced recently or during childhood, and maternal suicide ideation, attempted suicide and death were consistently reported. Social support was found to be less associated with suicide ideation but more so with suicide attempts. Identifying women who have experienced domestic violence or childhood abuse and ensuring all women have adequate emotional and practical support during the perinatal period may help to reduce the likelihood of suicidal behaviour.

The Psychopathology of Worthlessness in Depression

BACKGROUND

Despite common dissatisfaction with the syndromic heterogeneity of major depression, investigations into its symptom structure are scarce. Self-worthlessness/inadequacy is a distinctive and consistent symptom of major depression across cultures.

AIMS

We investigated whether self-worthlessness is associated with self-blaming attribution-related symptoms or is instead an expression of reduced positive feelings overall, as would be implied by reduced positive affect accounts of depression.

METHODS

44,161 undergraduate students in Study 1, and 215 patients with current Major Depressive Disorder (MDD) and 237 age-matched healthy control participants in Study 2 completed the well-validated Symptom Check List-90. Depression-relevant items were used to construct regularized partial correlation networks with bootstrap estimates of network parameter variability.

RESULTS

Worthlessness co-occurred more strongly with other symptoms linked to self-blaming attributions (hopelessness, and self-blame), displaying a combined edge weight with these symptoms which was significantly stronger than the edge weight representing its connection with reduced positive emotion symptoms (such as reduced pleasure/interest/motivation, difference in edge weight sum in Study 1 = 2.95, in Study 2 = 1.64; 95% confidence intervals: Study 1: 2.6-3.4; Study 2: 0.02-3.5; Bonferroni-corrected p < 0.05).

CONCLUSIONS

This confirms the prediction of the revised learned helplessness model that worthlessness is most strongly linked to hopelessness and self-blame. In contrast, we did not find a strong and direct link between anhedonia items and a reduction in self-worth in either study. This supports worthlessness as a primary symptom rather than resulting from reduced positive affect.

The latent structure of ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD in a general population sample from USA: A factor mixture modelling approach

The validity of ICD-11 Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD), as measured by the International Trauma Questionnaire (ITQ; Cloitre et al., 2018) has been supported in many factor analytic and mixture modelling studies. There is, however, a paucity of research investigating the latent structure of the ITQ using factor mixture modelling (FMM). FMM was applied to data collected from a nationally representative sample of U.S. adults (N = 1834). FMM results demonstrated strong support for a two-factor second-order model with four qualitatively distinct latent classes: a 'PTSD class', a 'CPTSD class', a 'DSO' (Disturbances in Self-Organisation) class and a 'low symptoms class'. Sexual abuse increased likelihood of membership to the 'CPTSD' (OR = 3.22) and physical abuse decreased likelihood of membership to the 'PTSD' (OR=0.51). Trauma exposure in adulthood predicted 'PTSD' and 'CPTSD' class membership. The 'CPTSD class' was characterised by higher levels of psychopathological co-morbidities and poorer psychological wellbeing compared to all other classes. Results provide additional support for the validity of PTSD and CPTSD as measured by the ITQ.

Emotional Reactivity, Emotion Regulation, and Social Emotions in Affective Disorders

Abstract. Affective disorders, specifically Major Depressive Disorder and Bipolar Disorders, show high prevalence, relapse rates, and a high likelihood to develop a chronic course. For the past two decades, research has investigated the neural correlates of emotion processing and emotion regulation in patients with affective disorders. Putative underlying causal mechanisms of dysregulated affect have been informed by knowledge from the intersection of neuroimaging and clinical psychology. More recent investigations also consider processing the role of mostly negative, self-blaming social emotions, which have been linked to treatment resistance and, hence, provide a prolific target for intervention. Several psychotherapeutic treatment approaches already focus on emotion, and here specific knowledge about the mechanisms underlying persistent changes in affect bears the potential to improve the treatment of affective disorders. In this narrative review, we delineate why and how our insights into the neural correlates of emotion processing and regulation can be applied to the treatment of patients with affective disorders.

Association between Stigma and Pain in Patients with Temporomandibular Disorders

OBJECTIVE

This study aims to explore the association between stigma and pain in patients with temporomandibular disorders (TMDs).

METHODS

Two hundred and twenty-five patients with TMDs were recruited, and they completed the questionnaires including the Visual Analogue Scale of Pain (VAS), Generalized Anxiety Disorder 7-Item (GAD-7), the Patient Health Questionnaire 9-item (PHQ-9), Jaw Functional Limitation Scale 8-item (JFLS-8), the Stigma Scale for Chronic Illness 8-item (SSCI-8), and other demographic and disease-related information. The total score of SSCI-8 indicated overall stigma, which could be classified into 2 subdomains, felt stigma and enacted stigma, according to their representative items, respectively. Then, the patients were divided into 2 groups in each subdomain of stigma according to their scores: stigma group (score ≥ 1) and no stigma group (score = 0).

RESULTS

Patients with overall stigma and enacted stigma presented significantly higher scores in VAS, GAD-7, PHQ-9, and JFLS-8 than those without overall stigma and those without enacted stigma, respectively. Significant differences between patients with and without felt stigma were only observed in GAD-7, PHQ-9, and JFLS-8. Patients with overall stigma and enacted stigma mainly suffered from pain-related TMDs (PTs) and combined TMDs (CTs). Overall stigma and enacted stigma rather than felt stigma were significantly associated with both PTs and CTs. Stigma, including overall stigma, enacted stigma, and felt stigma, was more associated with anxiety and depression and less related to jaw functional limitation of the patients with TMDs.

CONCLUSION

Stigma, specifically enacted stigma, was correlated to pain in patients with TMDs. Stigma was more related to psychological problems than jaw functional limitation.

Shame in patients with psychogenic nonepileptic seizure: A narrative review

Psychogenic Nonepileptic Seizures (PNES) have been linked to dysregulated emotions and arousal. However, the question which emotions may be most relevant has received much less attention. In this multidisciplinary narrative review, we argue that the self-conscious emotion of shame is likely to be of particular importance for PNES. We summarize current concepts of the development of shame processing and its relationship with other emotional states. We demonstrate the potential of acute shame to cause a sudden disruption of normal cognitive function and trigger powerful behavioral, cognitive, physiological and secondary emotional responses which closely resemble key components of PNES. These responses may lead to the development of shame avoidance strategies which can become disabling in themselves. We discuss how excessive shame proneness and shame dysregulation are linked to several psychopathologies often associated with PNES (including depression and PTSD) and how they may predispose to, precipitate and perpetuate PNES disorders, not least by interacting with stigma. We consider current knowledge of the neurobiological underpinnings of shame and PNES. We explore how shame could be the link between PNES and a heterogeneous range of possible etiological factors, and how it may link historical aversive experiences with individual PNES events occurring much later and without apparent external trigger. We argue that, in view of the potential direct links between shame and PNES, the well-documented associations of shame with common comorbidities of this seizure disorder and the well-characterized relationship between chronic shame and stigma, there is a compelling case to pay greater attention to shame in relation to PNES. Its role in the treatment of patients with PNES is discussed in a separate, linked review incorporating case vignettes to highlight the complex interactions of different but interlinked shame-related issues in individual patients.

Bullying Prevention in Adolescence: Solutions and New Challenges from the Past Decade

Bullying among youth at school continues to be a global challenge. Being exposed to bullying may be especially hurtful in adolescence, a vulnerable period during which both peer group belonging and status become key concerns. In the current review, we first summarize the effectiveness of the solutions that were offered a decade ago in the form of anti-bullying programs. We proceed by highlighting some intriguing challenges concomitant to, or emerging from these solutions, focusing especially on their relevance during adolescence. These challenges are related to (1) the relatively weak, and highly variable effects of anti-bullying programs, (2) the complex associations among bullying, victimization, and social status, (3) the questions raised regarding the beneficial (or possibly iatrogenic) effects of peer defending, and (4) the healthy context paradox, that is, the phenomenon of remaining or emerging victims being worse off in contexts where the average levels of victimization decrease. We end by providing some suggestions for the next decade of research in the area of bullying prevention among adolescents.