Examining social reinforcement learning in social anxiety

Social Anxiety and Its Comorbidity With Depression in Medical Students: A Network Analysis

Depression and social anxiety are highly comorbid in young adults, posing significant harm. This study aimed to identify central and bridge symptoms of depression and social anxiety in medical students, providing insights for intervention strategies. This cross-sectional study recruited 456 medical students. Depression symptoms were measured using the nine-item Patient Health Questionnaire (PHQ-9), while social anxiety was assessed using the Interaction Anxiousness Scale (IAS). Network analysis was utilised to examine symptom-level associations between depression and social anxiety. The study identified 'anxious at parties' and 'nervous with authority figures' as the most central symptoms, while 'nervous in informal gatherings' and 'fatigue' were the most bridge symptoms in the network of depression and social anxiety symptoms among medical students. These symptoms were crucial in the development of depression and social anxiety, indicating the target for interventions. The network analysis perspective suggests that the development of social anxiety in medical students is closely related to career development, while its comorbidity with depression is associated with social and emotional support. Distinct intervention strategies could target central and bridge symptoms to address social anxiety and its comorbidity with depression among medical students.

Social Evaluation in Emerging Adults: Associations with Interpretation Bias and Perceived Social Support

Social anxiety symptoms are one of the most common mental health concerns across the lifespan (Bandelow and Michaelis in Dialogues Clin Neurosci 17(3):327-335, 2015. https://doi.org/10.31887/DCNS.2015.17.3/bbandelow ) and are especially relevant during emerging adulthood, when social feedback occurs daily (Auxier and Anderson in Social media use in 2021, 2021. https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/ ) as emerging adults navigate new social environments. Two cognitive processes have been identified as relevant to social anxiety: high threat interpretation bias (i.e., the tendency to appraise threat from ambiguity; Rozenman et al. in Behav Ther 45(5):594-605, 2014. https://doi.org/10.1016/j.beth.2014.03.009 ; J Anxiety Disord 45:34-42, 2017. https://doi.org/10.1016/j.janxdis.2016.11.004 ) is associated with high social anxiety, whereas high perceived social support is associated with low social anxiety. In this study, emerging adults (N = 303) completed an online adaptation of the Chatroom task (Guyer et al. in Arch Gener Psychiatry 65(11):1303-1312, 2008. https://doi.org/10.1001/archpsyc.65.11.1303 ), an experimental paradigm designed to simulate social acceptance and rejection, as well as a performance-based measure of interpretation bias (Word Sentence Association Paradigm; Beard and Amir in Behav Res Ther 46(10):1135-1141, 2008. https://doi.org/10.1016/j.brat.2008.05.012 ), and a self-report measure of perceived social support (Multidimensional Scale of Perceived Social Support; Zimet et al. in J Pers Assess 52(1), 30-41, 1988. https://doi.org/10.1207/s15327752jpa5201_2 ). Social anxiety symptoms did not increase as a function of acceptance or rejection during the Chatroom task. However, there were significant interactions between each cognitive predictor and social anxiety change: emerging adults with low interpretation bias towards threat and emerging adults with high perceived social support both experienced decreases in social anxiety from pre- to post-Chatroom task, regardless of whether they were accepted or rejected during the Chatroom task. If replicated, low interpretation bias and high perceived social support may serve as promotive factors in social interactions for emerging adults.

State and Trait Emotion Regulation Diversity in Social Anxiety

Emotion regulation (ER) diversity, defined as the variety, frequency, and evenness of ER strategies used, may predict social anxiety (SA) severity. In a sample of individuals with high (n=113) or low (n=42) SA severity, we tested whether four trait ER diversity metrics predicted group membership. We generalized existing trait ER diversity calculations to repeated-measures data to test if state-level metrics (using two weeks of EMA data) predicted SA severity within the higher severity group. As hypothesized (osf.io/xadyp), higher trait ER diversity within avoidance-oriented strategies predicted greater likelihood of belonging to the higher severity group. At the state-level, higher diversity across all ER strategies, and within and between avoidance- and approach-oriented strategies, predicted higher SA severity (but only after controlling for number of submitted EMAs). Only diversity within avoidance-oriented strategies was significantly correlated across trait and state levels. Findings suggest that high avoidance-oriented ER diversity may co-occur with higher SA severity.