Computer-delivered intervention for individuals with obesity and elevated anxiety sensitivity: feasibility, acceptability, and initial test.

Obesity is one the fastest growing public health problems related to numerous chronic diseases and frequently co-occurs with negative mood states. One promising approach to address the heterogeneity of affective vulnerabilities and obesity is to focus on processes (e.g. anxiety sensitivity [AS]) that underpin both conditions. Thus, this study aimed to evaluate the feasibility, acceptability, and initial efficacy of a brief, computer-delivered AS reduction program (AST) for adults with obesity and elevated AS. Participants were 131 individuals with obesity and elevated AS who received either AST or a health information control (HC). Latent growth curve modeling was utilized to examine the effect of treatment condition on change in AS, emotional eating, expectancies of eating to manage mood, and exercise self-efficacy from baseline to 1-week, 2-weeks, and 1-month follow-up. Results indicated it was feasible to recruit and retain individuals with obesity and elevated AS through the 1-month follow-up. Positive qualitative feedback was also provided for both AST and HC. AST was a statistically significant predictor of change in expectancies of eating to manage negative affect. No other statistically significant treatment effects were indicated. Current data provide initial empirical support for future work focused on persons with obesity and elevated AS.