Why do evaluative judgments affect emotion attributions? The roles of judgments about fittingness and the true self.

Past research has found that the value of a person's activities can affect observers' judgments about whether that person is experiencing certain emotions (e.g., people consider morally good agents happier than morally bad agents). One proposed explanation for this effect is that emotion attributions are influenced by judgments about fittingness (whether the emotion is merited). Another hypothesis is that emotion attributions are influenced by judgments about the agent's true self (whether the emotion reflects how the agent feels "deep down"). We tested these hypotheses in six studies. After finding that people think a wide range of emotions can be fitting and reflect a person's true self (Study 1), we tested the predictions of these two hypotheses for attributions of happiness, love, sadness, and hatred. We manipulated the emotions' fittingness (Studies 2a-b and 4) and whether the emotions reflected an agent's true self (Studies 3 and 5), measuring emotion attributions as well as fittingness judgments and true self judgments. The fittingness manipulation only impacted emotion attributions in the cases where it also impacted true self judgments, whereas the true self manipulation impacted emotion attribution in all cases, including those where it did not impact fittingness judgments. These results cast serious doubt on the fittingness hypothesis and offer some support for the true self hypothesis, which could be developed further in future work.

Predicting Outcome in Acute Severe Colitis-Controversies in Clinical Practice in 2021.

Acute severe ulcerative colitis [ASUC] remains a common medical emergency, with 25% of patients with ulcerative colitis experiencing at least one event in their disease course. Despite advances in medical therapy, ASUC continues to be associated with considerable morbidity and mortality, with up to 30% of patients requiring colectomy during initial admission. Our aim was to review the current controversies and recent progress in risk stratification, prediction of outcome, and personalisation of care in ASUC. We re-assess the use of Truelove and Witts' criteria, serum biomarkers, and the use of composite clinical indices in current clinical practice. We explore the potential for endoscopic prediction using defined validated indices for accurate and early prognostication, and the need to define outcome. We also consider the impact of the current COVID-19 pandemic. Finally, we discuss the current research agenda, including the application of new and emerging biomarkers coupled with multi-omics and the implications in management and optimisation of outcome. Research priorities for the prediction of outcome in acute severe colitis include the following. 1. Development of an accurate admission score to guide early medical rescue therapy or colectomy. 2. Utility of point-of-care faecal calprotectin, with determination of optimal cut-off values. 3. Role of serum and faecal infliximab levels to both predict outcome and guide accelerated infliximab dosing. 4. Role of novel biomarkers, including serum calprotectin, in predicting response to corticosteroids or rescue therapy. 5. Specific predictors of response to ciclosporin and infliximab to allow rationalisation of drug use. 6. Utility of validated endoscopic scores. 7. Utility of radiological assessment beyond use of plain abdominal X-ray. 8. The use of multiomics and machine learning to predict risk of Acute Severe Colitis in patients with Ulcerative Colitis.