naa a22 4500 530185229 CHVBK 20181026074443.0 cr unu---uuuuu 181026e201812 xx s 000 0 eng 10.1016/j.paid.2018.07.028 doi (SERVAL)BIB_274077C6FF28 000446144900034 isiid Interpretation bias toward ambiguous information in burnout and depression [Elektronische Daten] [Renzo Bianchi, Eric Laurent, Irvin Sam Schonfeld, Jay Verkuilen, Chantal Berna] Burnout has been defined as a job-related syndrome combining pervasive fatigue and loss of motivation. In recent years, evidence has mounted that burnout may reflect a depressive condition. In this study, we expanded on past investigations of burnout-depression overlap by focusing on interpretation biases toward ambiguous information among the two entities. We conducted a web-based study involving 1056 participants (83% female; mean age: 42.87). Burnout symptoms were assessed with the Shirom-Melamed Burnout Measure and depressive symptoms with the PHQ-9. The Ambiguous Scenarios Test (AST), a measure of interpretation bias validated among dysphoric individuals, was the outcome of interest. The AST consists of 24 scenarios that respondents are requested to imagine and assess in terms of (un)pleasantness. Burnout and depression each correlated moderately and negatively with scenario pleasantness. Participants reporting "high" levels of burnout and depression exhibited a negativity bias when interpreting scenarios whereas participants with either "low" or "medium" levels of burnout and depression exhibited a positivity bias. Remarkably, burnout and depression were similarly associated with the pleasantness of job-related scenarios. Like depression, burnout may involve a propensity to interpret ambiguous information negatively. This study supports the view that burnout is associated with a depressive cognitive style. Bianchi Renzo aut Laurent Eric aut Schonfeld Irvin Sam aut Verkuilen Jay aut Berna Chantal aut Personality and Individual Differences 135(2018-12), 216-221 135<216-221 2018 135 1 article serval SERVAL 700 1- Bianchi Renzo aut SERVAL 700 1- Laurent Eric aut SERVAL 700 1- Schonfeld Irvin Sam aut SERVAL 700 1- Verkuilen Jay aut SERVAL 700 1- Berna Chantal aut SERVAL 773 0- Personality and Individual Differences 135(2018-12), 216-221 135<216-221 2018 135 BK010053 XK010053 XK010000 SERVAL SERVAL SERVAL article