The aim of this study was to investigate the relationship among sleep quality, impulsivity, anxiety, and depression in individuals with emotional eating behavior. The study was designed as a cross-sectional study. The study included 92 individuals (age 31.29 ± 9.17; female, 67.4% [n = 62]; male, 32.6% [n = 30]) with symptoms of emotional eating but no previous psychiatric diagnosis or treatment. Participants were administered a Structured Clinical Interview for DSM-5 Disorders interview form, a sociodemographic data form, the Emotional Eating Scale, the Beck Depression Scale, the Barratt Impulsivity Scale, the Beck Anxiety Scale, and the Pittsburgh Sleep Quality Index Scale. Emotional eating is positively correlated with anxiety (r = 0.377, p = 0.001), depression (r = 0.375, p = 0.001), impulsivity (r = 0.250, p = 0.016), and poor sleep quality (r = 0.478, p = 0.001). Obese individuals (defined as having a body mass index of 30 or higher) showed higher emotional eating (z = −2.552, p = 0.016) and poorer sleep quality (z = −2.089, p = 0.044) than nonobese individuals, and women showed higher emotional eating (t = 2116, p = 0.037) and poorer sleep quality (z = −2537, p = 0.010) than men. Poor sleep quality was associated with emotional eating. In this relationship, poor sleep quality influenced emotional eating through all mediators, including anxiety and depression (B = 3.491; standardized effect, 0.485; p = 0.001). Poor sleep quality directly influenced emotional eating (B = 2.806; standardized effect, 0.390; p = 0.001). The findings of the study suggest that emotional eating is associated with higher levels of anxiety, depression, impulsivity, and sleep problems, especially in women. It suggests that the interrelationships of psychological factors associated with emotional eating should be investigated.

Objective: The content shared on social media may cause secondary traumatic stress (STS) symptoms. The aim of this study is to evaluate the severity of social media related STS and the associated factors in university students who were not directly affected by the February 2023 earthquakes. Method: In total, 436 university students completed an online survey including the Secondary Traumatic Stress Scale for Social Media Users (STSSSM), the Bergen Social Media Addiction Scale (BSMAS), the Depression Anxiety Stress Scales (DASS-42), and demographic information and questions regarding social media use preferences after the earthquake. Results: A large portion of the participants (79.1%) reported that they followed the news about the February 2023 earthquakes on social media instead of other media tools. STS associated with social media addiction, depression, anxiety and stress levels (r=0.475 p<0.001; r=0.543 p<0.001; r=0.583 p<0.001; r=0.591 p<0.001). Multiple linear regression analysis revealed that, female gender, social media addiction and anxiety levels predicted STS and explained 43.3% of the total variance. STS symptoms were higher in those who followed the earthquake-related news on social media (t=3.534 p<0.001) and in those who reported that Twitter was their preferred social media platform to access information regarding the earthquake (40.8%; (t=6.376 p=0.002)). Conclusion: Social media has been widely used for news gathering following the February 2023 earthquakes. The results of this study reveal that STS in social media users is affected by gender, social media addiction, depression, anxiety, stress levels and social media platform preference.

Background: Academic procrastination is a common behavioral issue among university students. Recent studies indicate that chronotype is associated with procrastination tendencies, anxiety and depression symptoms, as well as physical activity levels. Aims: This study aims to examine the relationship between chronotype and academic procrastination, and to investigate whether anxiety and depression symptoms and physical activity mediate this association. Method: This cross-sectional online study included 1,207 university students. The participants completed measures of chronotype (a Morningness-Eveningness Questionnaire), academic procrastination (the Tuckman Procrastination Scale), physical activity (a Global Physical Activity Questionnaire), and anxiety-depression symptoms (total score of the Hospital Anxiety and Depression Scale). Correlational and serial mediation analyses (PROCESS macro Model 6, 5,000 bootstrap samples) were conducted to examine the direct and indirect effects. Results: Evening-type individuals reported higher academic procrastination ( p < .001) and anxiety-depression symptoms ( p < .001), and lower physical activity ( p = .002) compared to other chronotypes. The chronotype was negatively correlated with the academic procrastination ( r = –.27, p < .001) and the anxiety-depression symptoms ( r = –.18, p < .001), and positively correlated with the physical activity ( r = .09, p = .001). A mediation analysis showed that 80.4% of the total effect of the chronotype on the procrastination was direct ( B = –0.267, p < .001), while 19.6% was indirect, primarily through the anxiety-depression symptoms ( B = –0.056, 95% CI [–0.082, –0.035]) and to a lesser extent through the physical activity ( B = –0.007, 95% CI [–0.015, –0.001]). However, no significant indirect path was found through the serial mediation of the anxiety-depression symptoms and the physical activity (95% CI [–0.002, 0.001]). Conclusion: Chronotype is significantly associated with academic procrastination, with anxiety-depression symptoms and physical activity partially mediating this relationship. Chronotype, anxiety and depression symptoms, and physical activity levels should be considered in designing interventions targeting the academic behavior and well-being in students.

This study aims to investigate changes in the CBC-related inflammatory indices in hospitalized bipolar disorder (BD) patients transitioning from a mood episode to a euthymic state. BD patients hospitalized for mania or depression were assessed during hospitalization and one month post-discharge in euthymia. In both phases, CBC was assessed, along with the administration of YMRS, HDRS-17, and the CGI. Ninety-four patients (58 manic, 36 depressive episodes) met the inclusion criteria at both phases. Significant decreases were observed in WBC (p < 0.001), neutrophils (p = 0.002), platelets (p = 0.038), NLR (neutrophil-to-lymphocyte ratio, p = 0.019), AISI (aggregate index of systemic inflammation, p < 0.001), dNLR (derived neutrophil-to-lymphocyte ratio, p = 0.007), SII (systemic immune inflammation index, p = 0.002), and SIRI (systemic inflammation response index, p = 0.003), while eosinophils (p = 0.003), EMR (eosinophil-to-monocyte ratio, p = 0.002), and ENR (eosinophil-to-neutrophil ratio, p = 0.001) increased. After a Bonferroni correction (p < 0.003125), changes in WBC, neutrophils, AISI, SII, SIRI, EMR, and ENR remained significant. Furthermore, differences were also noted between VPA users and non-users. The study highlights distinctive changes in CBC-related indicators during the transition to euthymia in BD patients. It is the first to investigate specific indices such as AISI, dNLR, EMR, and ENR in BD using a longitudinal design. The findings suggest that CBC-derived inflammation indices are promising tools for monitoring BD clinical progression.

Neuroleptic malignant syndrome (NMS), which most often occurs after the use of antipsychotics, is a rare but life -threatening condition. In this article, a 56 -year -old male patient with a diagnosis of bipolar affective disorder (BPD) who developed NMS after a COVID-19 infection will be presented. The patient had been brought to the emergency room with high fever, fatigue, and slowness of movements that had been going on for two days. The examination revealed tachycardia, tachypnea, lethargy and rigidity. Upon further investigation the COVID-19 test came out positive and the serum levels of creatine kinase were considerably high. He was admitted to the psychiatric ward with diagnoses of COVID-19 infection and NMS. COVID-19 infection might have been a risk factor for NMS in this patient. Especially in patients who are taking antipsychotic drugs, if COVID-19 is present, the risk of NMS should be taken into consideration.

Substance use disorder (SUD) is associated with systemic inflammation and cognitive vulnerability. Peripheral biomarkers may help characterize biological risk across substances and comorbidities. Turkey has experienced a recent rise in methamphetamine and pregabalin misuse, underscoring the need for biomarker-based clinical profiling. A total of 321 inpatients were evaluated in a single inpatient addiction treatment unit in Turkey (2019-2025). Exclusion criteria included severe somatic disease, preexisting psychiatric diagnoses, and incomplete records. Admission data included demographics, primary substance, DSM-5 comorbidities, biomarkers (C-reactive protein [CRP], neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio, Systemic Immune-Inflammation Index, Hemoglobin × Albumin/Leukocyte × Platelet Index, Inflammatory Burden Index [IBI]). Analyses used appropriate parametric/non-parametric tests, analysis of covariance, and logistic regression adjusted for age, sex, and comorbidities. IBI and CRP differed significantly across substance groups, with higher inflammatory burden among methamphetamine, alcohol, and MDMA users. After multiple-comparison correction, IBI remained statistically significant, whereas CRP required cautious interpretation. Longer duration of use correlated with higher inflammatory burden. Depressive (14.6%) and anxiety disorders (16.2%) were the most common comorbidities. Bipolar disorder, although infrequent, clustered with higher inflammatory markers. Gender patterns reflected international trends, with greater alcohol/cannabis use in male and earlier, faster dependence progression in female. Multivariate models showed that methamphetamine and alcohol independently predicted elevated IBI after adjustment. IBI and CRP appear to be the most sensitive indicators of systemic inflammation in SUD, particularly in stimulant and alcohol users. Elevation of IBI supports its potential role as a cognition-related biomarker. Findings highlight biological heterogeneity across substances, genders, and comorbidities, and emphasize the need for future prospective studies with neurocognitive testing and structured tobacco documentation.