Reactivity to Exclusion Prospectively Predicts Social Anxiety Symptoms in Young Adults☆
Section snippets
Participants
A total of 108 participants completed the Time 1 session and 100 participants returned to complete the Time 2 session to receive credit as part of their coursework at a midwestern metropolitan university. Participants were mostly white (n = 63; 58.3%) women (n = 67; 62.0%). Other ethnicities reported were Asian/Pacific Islander (n = 34; 31.5%), Black (n = 6; 5.6%), multiracial (n = 4; 3.7%), and Hispanic (n = 1; .9%). Two thirds of our participants were in either their freshman or sophomore year of college
Results
Table 1 displays means, standard deviations, and intercorrelations among all variables. In a single model, all Time 1 predictors were used to predict all Time 2 constructs. The initial model fit was perfect by definition because the model was saturated. However, model fit when nonsignificant paths (ps > .10) were dropped was excellent (df = 6; CFI = 1.00, TLI = 1.00, RMSEA = .00, SRMR = .03). As can be seen in Figure 1, reactivity to exclusion (estimate = .16, p = .008) was the only significant predictor of
Discussion
We found that reactivity to exclusion simulated by the Cyberball computer task prospectively predicted social anxiety 2 months later. Against hypothesis, and in contrast with findings regarding children and adolescents, past teasing through high school and current relational victimization at Time 1 did not prospectively predict social anxiety. These results bridge findings between childhood and adolescent research and research on adults with SAD (e.g., Erath et al., 2008, McCabe et al., 2003,
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We would like to thank Simona C. Kaplan and Lauren Kramer for their research assistance. This research was funded in part by F31-MH096433-01 to Cheri A. Levinson.