Cognitive impairment, alterations in mood, emotion dysregulation are just a few of the consequences of depression. Despite depression being reported as the most common mental disorder worldwide, examining depression or risks of depression is still challenging. Emotional reactivity has been observed to predict the risk of depression, but the results have been mixed for negative emotional reactivity. To better understand the emotional response conflict, we asked our participants to describe their feeling in meaningful sentences alongside reporting their reactions to the (...) emotionally evocative words. We presented a word on the screen and asked participants to perform two tasks, rate their feeling after reading the word using the self-assessment manikin scale, and describe their feeling using the property generation task. The emotional content was analyzed using a novel machine-learning algorithm approach. We performed these two tasks in blocks and randomized their order across participants. Beck Depression Inventory was used to categorize participants into self-reported non-depressed and depressed groups. Compared to the ND, the D group reported reduced positive emotional reactivity when presented with extremely pleasant words regardless of their arousal levels. However, no significant difference was observed between the D and ND groups for negative emotional reactivity. In contrast, we observed increased sadness and inclination toward low negative context from descriptive content by the D compared to the ND group. The positive content analyses showed mixed results. The contrasting results between the emotional reactivity and emotional content analyses demand further examination between cohorts of self-reported depressive symptoms, no-symptoms, and MDD patients to better examine the risks of depression and help design early interventions. (shrink)

Publication date: 30 November 2016 Source: Author: Wen Lee Ng, Manimangai Mani, Wan Roselezam Wan Yahya While the growing body of research on Tan Twan Eng’s The Gift of Rain focuses on the protagonist, Philip Hutton’s traumatic condition, his Chinese identity, and his ambiguous identity, this study devotes particular attention to the complexity of interactions between various cultures practised by Philip. This study aims to address this gap by applying the concept of transculturalism to analyse the processes of acquiring a (...) foreign culture and incorporating the foreign culture into traditional cultures experienced by Philip. In other words, this study employs the concept of transculturalism to examine multicultural depictions in the novel. Scholars, such as Khan, Tiwari, Sheoran and Tan C. S. who have examined multicultural depictions in various literary texts, have found that multicultural circumstances cause certain ethnic groups to lose their cultures and identities. Hence, the multicultural circumstances depicted are perceived as negative phenomena. However, this study has found that by examining the interactions between various cultures, rather than focusing on the end products such as portrayals of hybridity, the positive sides of multicultural depictions could be revealed. The transculturation process experienced by Philip shows that the new cultural practices he has created are made up of both his traditional cultures and the foreign culture he has acquired. This means that Philip does not totally lose his traditional cultures and identities. Therefore, this study concludes that multicultural depictions in The Gift of Rain could be read positively, provided that the interactions between various cultures, which resulted in the incorporation of a foreign culture into traditional cultures, are examined. (shrink)