Negative Flashforward Imagery in Adolescent Social Anxiety Disorder: A Pilot Study of Imagery Reports and a Short EMDR Intervention.

Psychological treatments for social anxiety disorder (SAD) in adolescents have shown poorer outcomes than for other anxiety disorders. A relevant factor to consider for improving outcomes may be negative imagery. In this pilot study, we examined negative 'flashforward' imagery of feared catastrophic outcomes in adolescents with SAD and evaluated the feasibility and preliminary outcomes of a short eye movement desensitization and reprocessing (EMDR) intervention targeting this imagery. We used a case series design with a 1-week baseline period. Outcomes included symptoms of social anxiety and avoidance related to selected social situations and features of associated flashforward imagery as the proposed mechanism of change during the intervention. We found that six out of seven assessed adolescents reported to experience flashforwards and rated image distress, vividness and threat appraisal as high. In these six participants (aged 14-17 years old), the short EMDR flashforward intervention appeared feasible and was followed by a decrease in social anxiety and avoidance in five participants, while no notable changes were observed during the baseline period. Furthermore, we observed a decrease in flashforward imagery features in at least five participants. Nonparametric tests of the overall (group-based) changes during the intervention period partially supported these findings. Limitations include the small sample size and the lack of a control group. Results suggest that vivid and distressing flashforward imagery is a common experience and that targeting flashforwards with EMDR may be beneficial in treating social anxiety in youth. Further experimental research on effects and added value to current treatments is necessary. Trial Registration: Dutch Clinical Trial Register (National Trial Register [NTR]): NL8974.

Fear of positive evaluation and social affiliation in social anxiety disorder and major depression.

Fear of positive evaluation (FPE) is posited as a core feature of social anxiety disorder (SAD); however, little is known about its role in interpersonal functioning. We examined relationships between FPE and responses to a standardized social affiliation paradigm designed to facilitate positive social connection with an unacquainted conversation partner (trained confederate). The sample included adults with SAD (N = 52), major depressive disorder (MDD; N = 23), comorbid SAD and MDD (N = 36), and non-psychiatric controls (N = 33). Participants completed measures assessing FPE, affect, safety behaviors, and desire for future interaction. Confederates and observers rated participant behavior and their own desire for future interaction. FPE was most elevated in the SAD and comorbid groups, followed by the MDD group, and then non-psychiatric controls. In the full sample, FPE was associated with greater self-reported anxiety and safety behavior use, lower self-reported positive affect and desire for future interaction, lower observer-rated desire for future interaction and approach behaviors, and greater observer-rated anxious behaviors. Within-group correlations revealed that associations were weaker in the SAD only and comorbid groups (cf. control and MDD only groups); however, post-hoc moderation analyses indicated that the relationships between FPE and the outcomes of interest largely held across varying levels of social anxiety and depression severity. Findings underscore the potential role of FPE as a transdiagnostic factor relevant to understanding interpersonal functioning in social anxiety and depression.

Overgeneralization of conditioned fear in patients with social anxiety disorder.

Introduction: While abnormal responses to threat, including overgeneralization to conditioned fear, have been postulated to play a critical role in pathological anxiety, the relevance of previous findings to social anxiety disorder (SAD) is unclear. We investigated conditioned and generalized fear responses in patients with SAD using socially relevant stimuli. Methods: A total of 26 patients with SAD and 25 healthy controls participated in a fear conditioning and generalization paradigm consisting of two neutral faces as conditioned stimuli (CS+ or CS-) and an angry face with contemptuous comments as unconditioned stimuli. Eight morphed faces of two conditioned stimuli in each continuum were given to test generalization. Behavioral data and physiological responses were acquired. Results: Successful conditioning was observed in the risk ratings for both groups, while only a marginal indication of conditioning was noted in physiological measures. During the generalization phase, patients rated the risk higher than CS- when the stimuli close to CS- contained a portion of CS+ features. Larger skin conductance responses to this stimulus were linked to higher fear of negative evaluation. In addition, patients spent a longer time evaluating safe and ambiguous stimuli than healthy controls and exhibited consistently high levels of subjective arousal. Discussion: Taken together, our findings suggest that SAD patients may exhibit a tendency towards overgeneralization of fear responses and show distinct patterns in processing generalized threat stimuli compared to healthy controls. Even though overgeneralization was not evident in physiological measures, it is necessary to consider this behavioral characteristic in the clinical management of patients with SAD.

Social anxiety prediction based on ERP features: A deep learning approach.

BACKGROUND: Social Anxiety Disorder is traditionally diagnosed using subjective scales that may lack accuracy. Recently, EEG technology has gained importance for anxiety detection due to its ability to capture stable and objective neurophysiological activities. However, existing methods mainly focus on extracting EEG features during resting states, with limited use of psychologically features like Event-Related Potential (ERP) in task-related states for anxiety detection in deep learning frameworks. METHODS: We collected EEG data from 63 participants exposed to four facial expressions and extracted task-relevant features. Using the EEGNet model, we predicted social anxiety and evaluated its performance using metrics such as accuracy, F1 score, sensitivity, and specificity. We compared EEGNet's performance with Deep Convolutional Neural Network (DeepConvNet), ShallowConvNet, Bi-directional Long Short-Term Memory (BiLSTM), and SVM. To assess the generalizability of the results, we carried out the same procedure on our prior dataset. RESULTS: EEGNet outperformed other models, achieving 99.16 % accuracy with Late Positive Potential (LPP). ERP components yielded higher accuracy than time-domain and frequency-domain features for social anxiety recognition. Accuracy was better for neutral and negative facial stimuli. Consistency across two datasets indicates stability of findings. LIMITATIONS: Due to limited publicly available task-state datasets, only our own were used. Future studies could assess generalizability on larger datasets from different sources. CONCLUSIONS: We conducted the first test of ERP features in anxiety recognition tasks. Results show ERP features have greater potential in social anxiety recognition, with LPP exhibiting high stability and accuracy. Outcomes indicate recognizing social anxiety with negative or neutral facial stimuli is more useful.

Anger in social anxiety disorder.

The present study focused on the emotional experience of anger among individuals with and without social anxiety disorder (SAD). Eighty-eight participants took part in the study, half (n = 44) met diagnostic criteria for SAD and half (n = 44) did not meet criteria for SAD. Participants completed a 21-day experience sampling measurement (ESM) in which they reported on daily social interactions and emotions. Using multilevel linear modeling we found that individuals with SAD experienced more anger compared to individuals without SAD. We also found a Diagnosis × Social Context interaction such that interactions with distant others were associated with elevated anger compared to interactions with close others for individuals with SAD but not for individuals without SAD. Finally, we found that for individuals with SAD (but not those without SAD) anger on a given day (day t) was associated with elevated anxiety on the following day (day t + 1), above and beyond previous anxiety, sadness and guilt (i.e. anxiety, sadness and guilt reported on day t). This suggests that anger may play a unique role in maintaining or exacerbating anxiety among individuals with SAD. Additional implications of our findings for models of psychopathology and for treatment of SAD are discussed.

Cross-cultural validation of the BFOE model: Best practices and future directions for psychometric evaluation of the Fear of positive evaluation scale - Insights from a Dutch translation.

The Bivalent Fear of Evaluation (BFOE) model suggests that Social Anxiety Disorder is not only characterized by fear of negative evaluation (FNE), but also fear of positive evaluation (FPE). While FNE has been firmly established, research of the latter is accumulating. To evaluate the role of the BFOE Model, and particularly FPE, validated measures such as the Fear of Positive Evaluation Scale (FPES) are pivotal. Yet, validation of psychometric properties is often at stake or neglected when translating a scale to other languages. This hampers cross-cultural evaluation of questionnaires and related concepts considerably, including the BFOE Model. To illustrate, a freely available, but not validated Dutch version of the FPES was completed, along with other measures by 354 community participants from the Netherlands and Belgium in an online study. The Dutch FPES showed excellent convergent and discriminant validity. In addition, it explained additional variance in social anxiety above and beyond FNE. These results as well as those from the factor analyses were highly comparable with those deriving from evaluations of the original English version. In conclusion, the Dutch FPES showed excellent psychometric properties and is fit for further exploring consistency or differences in the BFOE model across cultures. Based on this case, practice guidelines for international use and validation of measures are discussed, and recommendations are provided.

Cognitive behavioral group therapy for social anxiety disorder - A critical review of methodological designs.

Social anxiety disorder (SAD) is highly prevalent with significant lifetime impacts, especially when left untreated. Cognitive behavioral therapy is the current gold standard treatment with successful patient outcomes. Cognitive behavioral group therapy (CBGT) is one form that provides unique benefits to participants including normalization of symptoms and social support, as well as providing increased access to treatment at a lower per-session cost. Research on this mode of treatment has been ongoing for over 20 years, but we still have much to learn about its overall efficacy. The goals of this critical review were to summarize and evaluate the most current research, including an analysis of the overall methodological design quality, and provide recommendations for the enhancement of future studies based on best practices. Recent studies included some best practice design elements used in measuring efficacy such as the use of comparison groups, masking procedures, fidelity assessments, and consideration of clinical significance in outcomes. However, many gaps exist such as a lack of consensus around measures and therapy manuals, as well as baseline competencies of facilitators. Future studies should consider incorporating additional best practice elements aligning with study goals to strengthen designs and provide the field with even more confidence in this mode of treatment.

Augmented Reality as an Aid to Behavior Therapy for Anxiety Disorders: A Narrative Review.

Anxiety disorders are among the most common mental disorders worldwide. These conditions are characterized by excessive anxiety that is difficult to control. In most anxiety disorders, symptoms are triggered by exposure to specific objects or situations. This leads sufferers to avoid such exposures, leading to impaired social and occupational functioning and reduced quality of life. Therapies based on behavioral principles, either alone or in combination with cognitive techniques, are the most effective psychological interventions for anxiety disorders. However, the effectiveness of these therapies may be limited due to a lack of generalization from clinic to real-world settings. Augmented reality (AR) is a technology that provides an interactive experience by superimposing computer-generated content, often in multiple sensory modalities, on the real world. Emerging evidence suggests that AR may be useful in treating a broad range of mental disorders, including anxiety disorders. This review examines the evidence for the use of AR-based techniques as an aid to behavioral or cognitive-behavioral therapies for anxiety disorders. The available evidence suggests that this method may offer significant advantages over conventional therapies, particularly in the case of specific phobias, but also in social anxiety disorder. AR can also be combined with other novel technologies to monitor psychophysiological markers of anxiety and its reduction over the course of treatment. The advantages of AR could be related to its combination of real and simulated content, allowing for better generalization of the benefits of conventional exposure-based therapy. Though the safety, efficacy, and cost-effectiveness of this method need to be confirmed in larger samples, it could lead to a paradigm shift in the way behavioral therapies for anxiety disorders are conceptualized and delivered.

The psychometric properties of the Mini Social Phobia Inventory in a treatment seeking sample of children and their caregivers.

The Mini Social Phobia Inventory (Mini-SPIN) is a short 3-item measure of social anxiety disorder (SAD). Using existing data, the current study examined the psychometric properties of the Mini-SPIN using a large, treatment seeking sample of children aged 6-16 years with data available for youth (n = 695, 170) and their caregivers (n = 703, 177) at pre-treatment and follow-up, respectively. The ability of the Mini-SPIN to discriminate between those with and without SAD was examined at pre-treatment and 6-month follow-up, across caregiver and child report. The criterion group validity, internal consistency and construct validity of the measure was also examined. Results revealed that at pre-treatment the Mini-SPIN demonstrated good discriminant validity in detecting cases of SAD from non-SAD (with cut-off of 4 on child report, and 6 on caregiver report). At 6-month follow-up, the discriminant ability of the Mini-SPIN was found to be less than acceptable for child reported scores, but acceptable for caregiver reported scores. The Mini-SPIN further demonstrated good criterion group validity, internal consistency and construct validity across caregiver and child report. Overall, the findings from the current study lend further support for the use of the Mini-SPIN as a screening tool for SAD.

Dating in social anxiety disorder: A daily diary study.

Romantic relationships are vital for health, well-being and quality of life, and an increasing percentage of romantic relations begin via use of dating apps and subsequently progress to dates. In the present study we examined dating application use and dates among individuals with SAD (n = 54) and without SAD (n = 54). Our sample included young adults (age range 18 to 33) who were not in a romantic relationship at the time of the study. For both individuals with SAD and without SAD, half of the participants were men, and half were women. We used a daily diary measurement in which participants reported on their dating application use and dates, as well as on concomitant emotions and perceptions for 21 consecutive days. We found that individuals with and without SAD did not differ in the frequency/duration of application use nor in the number of dates attended. However, individuals with SAD experienced dates as more negative compared to individuals without SAD (Cohen's d = 0.65). Interestingly, individuals with SAD did not significantly differ in their experience of dates as positive compared to individuals without SAD. Moreover, use of dating applications/going on dates were associated with increases in shame (Cohen's d = 0.59) and embarrassment (Cohen's d = 0.45) and this was found to a greater extent among individuals with SAD compared to individuals without SAD (Cohen's d = 0.50, 0.39 for shame and embarrassment respectively). Findings are discussed in the context of cognitive behavioral models of SAD and implications for treatment are considered.

Comparison of Resting-State Functional Connectivity Between Generalized Anxiety Disorder and Social Anxiety Disorder: Differences in the Nucleus Accumbens and Thalamus Network.

Background: Generalized anxiety disorder (GAD) and social anxiety disorder (SAD) are distinguished by whether anxiety is limited to social situations. However, reports on the differences in brain functional networks between GAD and SAD are few. Our objective is to understand the pathogenesis of GAD and SAD by examining the differences in resting brain function between patients with GAD and SAD and healthy controls (HCs). Methods: This study included 21 patients with SAD, 17 patients with GAD, and 30 HCs. Participants underwent psychological assessments and resting-state functional magnetic resonance imaging. Whole-brain analyses were performed to compare resting-state functional connectivity (rsFC) among the groups. In addition, logistic regression analysis was conducted on the rsFC to identify significant differences between GAD and SAD. Results: Patients with SAD and GAD had significantly higher rsFC between the bilateral postcentral gyri and bilateral amygdalae/thalami than HCs. Compared with patients with SAD, those with GAD had significantly higher rsFC between the right nucleus accumbens and bilateral thalami and between the left nucleus accumbens and right thalamus. rsFC between the left nucleus accumbens and right thalamus positively correlated with state anxiety in patients with SAD and GAD, respectively. In addition, logistic regression analysis revealed that the right nucleus accumbens and the right thalamus connectivity could distinguish SAD from GAD. Conclusions: GAD and SAD were distinguished by the right nucleus accumbens and the right thalamus connectivity. Our findings offer insights into the disease-specific neural basis of SAD and GAD. Clinical Trial Registration Number: UMIN000024087. Impact Statement This study is the first to identify a resting state functional connectivity that distinguishes social anxiety disorder (SAD) from generalized anxiety disorder (GAD) and to clarify a common connectivity in both disorders. We found that the connectivity between the right nucleus accumbens and the right thalamus differentiated SAD from GAD. Furthermore, these rsFC differences suggest an underlying basis for fear overgeneralization. Our findings shed light on the pathophysiology of these conditions and could be used as a basis for further studies to improve outcomes for such patients.

Psychological interventions for social anxiety disorder in children and adolescents: A systematic review and network meta-analysis.

BACKGROUND: Social anxiety disorder (SAD) is a high-prevalence mental disorder among children and adolescents. The aim of this study is to compare and rank the effectiveness of several psychotherapies for SAD among children and adolescents. METHODS: Only randomized controlled trials (RCTs) were utilized by searching PubMed, Embase, Cochrane Library, and Web of Science. We used network meta-analysis in the Bayesian framework to analyze the data. This study is registered with PROSPERO, number CRD42023476829. RESULTS: In total, 30 RCTs with 1547 individuals were included, and nine psychotherapies with three control conditions were compared and ranked in this study. The findings revealed that internet-delivered cognitive behavioural therapy (surface under the cumulative ranking curve [SUCRA: 71.2 %]), group cognitive behavioural therapy (SUCRA: 68.4 %), and individual cognitive behavioural therapy (SUCRA: 66.0 %) significantly reduced social anxiety symptoms; internet-delivered cognitive behavioural therapy also significantly decreased depression symptoms in these patients (SUCRA: 92.2 %). In addition, group cognitive behavioural therapy can enhance functioning in these patients (SUCRA: 89.6 %). CONCLUSION: These results suggest that internet-delivered cognitive behavioural therapy is the optimal type of psychotherapy for reducing social anxiety and depression symptoms in children and adolescents with SAD, internet-delivered parent-child interaction therapy and cognitive bias modification of interpretation have relatively poor treatment effects on social anxiety symptoms in children than other psychological interventions, and group cognitive behavioural therapy has better benefits in enhancing the functioning among children and adolescents with SAD. Further studies are needed to ascertain these results due to the limited number of included studies.

Neurophysiological effects of cognitive behavioral therapy in social anxiety: An ERP study using a dot-probe task.

BACKGROUND: Social anxious individuals show attention bias towards emotional stimuli, this phenomenon is considered to be an important cause of anxiety generation and maintenance. Cognitive-behavioral therapy (CBT) is a standard psychotherapy for social anxiety disorder. CBT decreases attention biases by correcting the maladaptive beliefs of socially anxious individuals, but it is not clear whether CBT alters neurophysiological features of socially anxious individuals at early automatic and/or late cognitive strategy stage of attentional processing. METHOD: To address this knowledge gap, we collected pre-treatment event-related potential data of 22 socially anxious individuals while they performed a dot-probe task. These participants then received eight weeks of CBT, and post-treatment ERP data were collected after completion of CBT treatment. We also included 29 healthy controls and compared them with individuals with social anxiety to determine the neural mechanisms underlying the effectiveness of CBT. RESULTS: Participants' social anxiety level was significantly alleviated with CBT. ERP results revealed that (1) compared to pre-treatment phase, P1 amplitudes induced by probes significantly decreased at post-treatment phase, whereas P3 amplitudes increased at post-treatment phase; the P1 amplitudes induced by probes following happy-neutral face pairs in socially anxious individuals after treatment was significantly different with that in healthy controls; (2) amplitude of components elicited by face pairs did not change significantly between pre-treatment and post-treatment phases; (3) changes of Liebowitz Social Anxiety Scale were positively correlated with changes of P1 amplitude, and negatively correlated with changes of N1 amplitude. LIMITATIONS: Our sample was university students and lacked randomization, which limits the generalizability of the results. CONCLUSION: The present results demonstrated that CBT may adjust cognitive strategies in the later stage of attentional processing, indicating by changed ERPs appeared in probe-presenting stage for social anxiety.

DNA Methylation of PXDN Is Associated with Early-Life Adversity in Adult Mental Disorders.

Early-life adversity (ELA) is characterized by exposure to traumatic events during early periods of life, particularly involving emotional, sexual and/or physical adversities during childhood. Mental disorders are strongly influenced by environmental and lifestyle-related risk factors including ELA. However, the molecular link between ELA and the risk of an adult mental disorder is still not fully understood. Evidence is emerging that long-lasting changes in the epigenetic processes regulating gene expression, such as DNA methylation, play an important role in the biological mechanisms linking ELA and mental disorders. Based on a recent study, we analyzed the DNA methylation of a specific CpG site within the gene PXDN-cg10888111-in blood in the context of ELA across a set of psychiatric disorders, namely Borderline Personality Disorder (BPD), Major Depressive Disorder (MDD) and Social Anxiety Disorder (SAD), and its potential contribution to their pathogenesis. We found significant hypermethylation in mentally ill patients with high levels of ELA compared to patients with low levels of ELA, whereas cg10888111 methylation in healthy control individuals was not affected by ELA. Further investigations revealed that this effect was driven by the MDD cohort. Providing a direct comparison of cg10888111 DNA methylation in blood in the context of ELA across three mental disorders, our results indicate the role of PXDN regulation in the response to ELA in the pathogenesis of mental disorders, especially MDD. Further studies will be needed to validate these results and decipher the corresponding biological network that is involved in the transmission of ELA to an adult mental disorder in general.

The Role of Self-Compassion and Social Anxiety in the Relationship Between Cognitive Distortions and Emotional Eating.

This study aimed to examine the mediating role of self-compassion and social anxiety in the relationship between cognitive distortions and emotional eating. The research was carried out on 406 adult individuals between the ages of 18-25 living in different regions of Turkey. To measure research variables, Liebowitz social anxiety, thought types, self-sensitivity, and Turkish emotional eating scale were used. The scales were distributed to the participants online. The data were analyzed through the SPSS program. In the study, it was determined that self-compassion predicted emotional eating negatively and social anxiety predicted emotional eating positively. According to the results of the serial mediation analysis, it was determined that self-compassion and social anxiety mediated the relationship between cognitive distortions and emotional eating separately.

Abnormal large-scale brain functional network dynamics in social anxiety disorder.

AIMS: Although static abnormalities of functional brain networks have been observed in patients with social anxiety disorder (SAD), the brain connectome dynamics at the macroscale network level remain obscure. We therefore used a multivariate data-driven method to search for dynamic functional network connectivity (dFNC) alterations in SAD. METHODS: We conducted spatial independent component analysis, and used a sliding-window approach with a k-means clustering algorithm, to characterize the recurring states of brain resting-state networks; then state transition metrics and FNC strength in the different states were compared between SAD patients and healthy controls (HC), and the relationship to SAD clinical characteristics was explored. RESULTS: Four distinct recurring states were identified. Compared with HC, SAD patients demonstrated higher fractional windows and mean dwelling time in the highest-frequency State 3, representing "widely weaker" FNC, but lower in States 2 and 4, representing "locally stronger" and "widely stronger" FNC, respectively. In State 1, representing "widely moderate" FNC, SAD patients showed decreased FNC mainly between the default mode network and the attention and perceptual networks. Some aberrant dFNC signatures correlated with illness duration. CONCLUSION: These aberrant patterns of brain functional synchronization dynamics among large-scale resting-state networks may provide new insights into the neuro-functional underpinnings of SAD.

Multiclassification of the symptom severity of social anxiety disorder using digital phenotypes and feature representation learning.

Objective: Social anxiety disorder (SAD) is characterized by heightened sensitivity to social interactions or settings, which disrupts daily activities and social relationships. This study aimed to explore the feasibility of utilizing digital phenotypes for predicting the severity of these symptoms and to elucidate how the main predictive digital phenotypes differed depending on the symptom severity. Method: We collected 511 behavioral and physiological data over 7 to 13 weeks from 27 SAD and 31 healthy individuals using smartphones and smartbands, from which we extracted 76 digital phenotype features. To reduce data dimensionality, we employed an autoencoder, an unsupervised machine learning model that transformed these features into low-dimensional latent representations. Symptom severity was assessed with three social anxiety-specific and nine additional psychological scales. For each symptom, we developed individual classifiers to predict the severity and applied integrated gradients to identify critical predictive features. Results: Classifiers targeting social anxiety symptoms outperformed baseline accuracy, achieving mean accuracy and F1 scores of 87% (with both metrics in the range 84-90%). For secondary psychological symptoms, classifiers demonstrated mean accuracy and F1 scores of 85%. Application of integrated gradients revealed key digital phenotypes with substantial influence on the predictive models, differentiated by symptom types and levels of severity. Conclusions: Leveraging digital phenotypes through feature representation learning could effectively classify symptom severities in SAD. It identifies distinct digital phenotypes associated with the cognitive, emotional, and behavioral dimensions of SAD, thereby advancing the understanding of SAD. These findings underscore the potential utility of digital phenotypes in informing clinical management.

Safety behaviors and positive emotions in social anxiety disorder.

The present study examined contextual factors that affect safety behavior use as well as positive emotions when using safety behaviors among individuals with SAD. Eighty-eight participants took part in the study, half (n = 44) met diagnostic criteria for SAD and half (n = 44) did not meet criteria for SAD. Participants completed a 21-day experience sampling methodology (ESM) measurement in which they reported on daily social interactions, safety behavior use, and emotions. Using multilevel linear modeling we found that both individuals with and without SAD used more safety behaviors when interacting with distant others compared to close others, but this effect was greater for individuals with SAD compared to individuals without SAD. We also found that social anxiety significantly moderated the relationship between safety behaviors in social interactions and positive emotions. Specifically, our findings indicated that individuals with higher levels of social anxiety reported lower levels of positive emotions when using safety behaviors. Implications of our findings for models of psychopathology and for treatment of SAD are discussed.

The Efficacy of Web-Based Cognitive Behavioral Therapy With a Shame-Specific Intervention for Social Anxiety Disorder: Randomized Controlled Trial.

Background: Social anxiety disorder (SAD) is one of the most prevalent psychological disorders and generally co-occurs with elevated shame levels. Previous shame-specific interventions could significantly improve outcomes in social anxiety treatments. Recent review suggests that integrating a more direct shame intervention could potentially increase the effectiveness of cognitive behavioral therapy. Web-based cognitive behavioral therapy (WCBT) has proven efficacy, sustaining benefits for 6 months to 4 years. Previous evidence indicated that shame predicted the reduction of social anxiety and mediated between engagements in exposure and changes in social anxiety during WCBT. Objective: This study aimed to design a shame intervention component through a longitudinal study and conduct a randomized controlled trial to investigate the effectiveness of a shame intervention component in reducing social anxiety symptoms and shame experience in a clinical sample of people with SAD. Methods: The development of a shame intervention component was informed by cognitive behavioral principles and insights from longitudinal data that measured the Experience of Shame Scale (ESS), the Coping Styles Questionnaire, and the Social Interaction Anxiety Scale (SIAS) in 153 participants. The psychoeducation, cognitive construct, and exposure sections were tailored to focus more on shame-related problem-solving and self-blame. A total of 1220 participants were recruited to complete questionnaires, including the ESS, the SIAS, the Social Phobia Scale (SPS), and diagnostic interviews. Following a 2-round screening process, 201 participants with SAD were randomly assigned into a shame WCBT group, a normal WCBT group, and a waiting group. After the 8-week WCBT intervention, the participants were asked to complete posttest evaluations, including the ESS, SIAS and SPS. Results: Participants in the shame WCBT group experienced significant reductions in shame levels after the intervention (ESS: P<.001; ηp2=0.22), and the reduction was greater in the shame intervention group compared to normal WCBT (P<.001; mean deviation -12.50). Participants in both the shame WCBT and normal WCBT groups experienced significant reductions in social anxiety symptoms (SIAS: P<.001; ηp2=0.32; SPS: P<.001; ηp2=0.19) compared to the waiting group after intervention. Furthermore, in the experience of social interaction anxiety (SIAS), the shame WCBT group showed a higher reduction compared to the normal WCBT group (P<.001; mean deviation -9.58). Problem-solving (SE 0.049, 95% CI 0.025-0.217) and self-blame (SE 0.082, 95% CI 0.024-0.339) mediated the effect between ESS and SIAS. Conclusions: This is the first study to design and incorporate a shame intervention component in WCBT and to validate its efficacy via a randomized controlled trial. The shame WCBT group showed a significant reduction in both shame and social anxiety after treatment compared to the normal WCBT and waiting groups. Problem-solving and self-blame mediated the effect of shame on social anxiety. In conclusion, this study supports previous findings that a direct shame-specific intervention component could enhance the efficacy of WCBT.