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Yayın Attachment to god, stressful life events, and changes in psychological distress(Springer Heidelberg, 2012-01) Ellison, Christopher G.; Bradshaw, Matt; Küyel, Nilay Behice; Marcum, Jack P.Considerable research shows that social relationships, attachments, and support systems promote emotional well-being. The present study adds to this literature by examining the connection between attachments to God and psychological distress. Analyzing longitudinal data (two waves) from a study of Presbyterian (PCUSA) elders and rank-and-file laypersons, results show that: (1) a secure attachment to God at baseline is associated with a decrease in distress over time; (2) a secure attachment to God buffers against the deleterious effects of stressful life events on distress; and (3) an anxious attachment to God exacerbates the harmful effects of stress. In these analyses, a secure attachment to God is a more robust predictor of changes in distress than many, more commonly studied variables including race, gender, SES, and church attendance. Future research should therefore replicate and extend this line of promising scholarship by examining additional outcomes such as psychiatric illness, physical health, and even mortality risk.Yayın Ethnic identification, discrimination, and mental and physical health among Syrian refugees: The moderating role of identity needs(Wiley, 2017-12) Çelebi, Elif; Verkuyten, Maykel; Bağcı Hemşinlioğlu, Sabahat ÇiğdemUsing a risk and resilience framework and motivated identity construction theory, we investigated the moderating role of identity needs in the association between social identification and perceived discrimination with mental and physical health among a sample of Syrian refugees (N = 361) in Turkey. Results showed that there were two clusters of interrelated identity needs, namely, belonging (belonging, continuity, and esteem) and efficacy (efficacy, meaningfulness, and distinctiveness). Higher perceived ethnic discrimination was found to be associated with poorer mental and physical health but not for respondents who derived a sense of efficacy from their Syrian identity. Higher Syrian identification was associated with lower depression and anxiety but more strongly for refugees who derived a sense of belonging and continuity from their Syrian identity. The findings indicate that investigating the motivational aspects of identity formation is important for understanding when discrimination and group identification undermine or rather contribute to the well-being and health of refugees. These findings are discussed in relation to the growing research on social identities and health.Yayın Psychometric properties of the Turkish version of the eating pathology symptoms inventory (EPSI-T)(Cogent OA, 2025) Türk, Fidan; Acet, Pınar; Karabulut, Goncagül; Akay, NazlıThe purpose of this study was to examine the factor structure and psychometric properties of the Turkish version of the Eating Pathology Symptoms Inventory (EPSI‑T), and to explore gender differences in eating disorder symptoms. Participants were 473 university students in Türkiye (342 women, 113 men) who completed the EPSI‑T, along with the Modified Weight Bias Internalization Scale (WBIS‑M), Addiction‑like Eating Behaviour Scale (AEBS), Muscularity‑Oriented Eating Test (MOET), and Depression Anxiety and Stress Scales (DASS‑21). Confirmatory factor analysis supported the original eight‑factor, 45‑item structure [χ2(914) = 1994.57, χ2/df = 2.18, CFI = 0.90, RMSEA = 0.05 (0.05–0.06), SRMR = 0.07]. Women scored significantly higher on most subscales, except for Excessive Exercise, Muscle Building, and Negative Attitudes toward Obesity, where men scored higher (p < 0.005). Reliability was strong, with Cronbach’s α ranging from 0.72 to 0.90 and McDonald’s ω from 0.75 to 0.90. Convergent and discriminant validity were also supported. Overall, findings suggest that the EPSI‑T is a reliable and valid measure of eating disorder symptoms in Turkish‑speaking populations and may facilitate cross‑cultural research by providing a tool structurally consistent with the original English version.Yayın Mental disorder and suicidal ideation detection from social media using deep neural networks(Springer, 2024-12) Ezerceli, Özay; Dehkharghani, RahimDepression and suicidal ideation are global reasons for life-threatening injury and death. Mental disorders have increased especially among young people in recent years, and early detection of those cases can prevent suicide attempts. Social media platforms provide users with an anonymous space to interact with others, making them a secure environment to discuss their mental disorders. This paper proposes a solution to detect depression/suicidal ideation using natural language processing and deep learning techniques. We used Transformers and a unique model to train the proposed model and applied it to three diferent datasets: SuicideDetection, CEASEv2.0, and SWMH. The proposed model is evaluated using the accuracy, precision, recall, and ROC curve. The proposed model outperforms the state-of-theart in the SuicideDetection and CEASEv2.0 datasets, achieving F1 scores of 0.97 and 0.75, respectively. However, in the SWMH data set, the proposed model is 4% points behind the state-of-the-art precision providing the F1 score of 0.68. In the real world, this project could help psychologists in the early detection of depression and suicidal ideation for a more efcient treatment. The proposed model achieves state-of-the-art performance in two of the three datasets, so they could be used to develop a screening tool that could be used by mental health professionals or individuals to assess their own risk of suicide. This could lead to early intervention and treatment, which could save lives.
