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EV0431

Beyond relapse: mapping digital relapse signatures of the abstinence violation effect and positive outcome expectancies in online gambling narratives

BEYOND THE LAPSE: MAPPING DIGITAL RELAPSE SIGNATURES OF ABSTINENCE VIOLATION EFFECTS AND POSITIVE OUTCOME EXPECTANCIES IN ONLINE GAMBLING NARRATIVES

Signs of the digital abstinence violation effect (AVE) were identified in 94.3% of online gambling relapse posts, but the associations of AVE and positive outcome expectancies with the 30-day abstinence trajectory did not reach statistical significance.

The aim was to identify domains of the digital abstinence violation effect (AVE) and digital positive outcome expectancy (POE) in online gambling community narratives, assess their effects on the 30-day trajectory, and examine community response dynamics as a moderating variable through the proportions of supportive and critical comments. The study used a retrospective digital cohort design, screening relapse posts in the r/problemgambling subreddit; the sample comprised n = 35 posts. Using thematic content analysis within a one-week post-relapse window, digital AVE was coded across three domains (cognitive, emotional, and self-efficacy), and digital POE across two domains (reward expectancy and illusion of control). No personal identifiers were used, and usernames were coded. Digital AVE was identified in 94.3% (n = 33) of posts and digital POE in 68.6% (n = 24), while 8.6% (n = 3) expressed suicidal ideation requiring an urgent safety assessment. The distribution of AVE components was as follows: cognitive distortions, 88.6%; emotional distress, 85.7%; and collapse of self-efficacy, 74.3%. Within the POE domains, illusion of control was present in 54.3% (n = 19) and reward expectancy in 45.7% (n = 16). In community responses, the mean proportion of supportive comments was 63.0% (standard deviation 24.2), while the median proportion of critical comments was 5% (interquartile range, IQR 14.5). Each one-unit increase in AVE was associated with 1.61-fold higher odds of relapse (OR = 1.61; p = 0.285), whereas POE showed a nonsignificant 31% reduction in the odds of relapse (OR = 0.69; p = 0.396). The authors suggest that digital expressions of relapse may offer a direct window into psychological distress, including identity collapse and suicidal ideation, and that recognizing these signatures could enable the design of empathetic, cross-cultural interventions for users outside formal clinical care.

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