Background: While remote work brings flexibility to work life, it can also bring loneliness, emotion regulation difficulties, and some mental health symptoms. This study examined the relationship between loneliness and emotion regulation difficulties and levels of depression, anxiety, and stress in remote workers and the role of some sociodemographic variables in these relationships. Methods: An analytical cross-sectional observational study was conducted. One hundred twenty-one participants (53.7% female, 46.3% male), aged 23–56 and working remotely for at least six months, were reached through snowball sampling and evaluated using online survey forms. Data were collected using a sociodemographic information form, the UCLA Loneliness Scale, the Depression Anxiety Stress Scale, and the Difficulties in Emotion Regulation Scale. In addition to correlation analyses and group comparisons, mediation analyses were conducted using the bootstrap method. Results: Emotion regulation difficulties and loneliness were significantly positively associated with depression, anxiety, and stress. An increase in the number of days working remotely per week increased anxiety levels, and emotion regulation difficulties mediated this effect. Loneliness had a mediating role in the relationship between emotion regulation difficulties and depression. Conclusions: Emotion regulation difficulties and loneliness have a significant impact on symptoms of depression, anxiety, and stress in individuals working remotely. These findings support the need to strengthen emotion regulation skills and develop policies that increase social interaction to support the mental health of remote workers.

Background: Some individuals with psychotic disorders may exhibit violent behavior, necessitating psychiatric hospitalization to ensure both patient care and public safety. Understanding factors behind post-discharge rehospitalization due to violence is crucial. This study aims to examine the association between treatment adherence, psychiatric follow-up frequency, and prescribed medications with the risk of violent-behavior-related rehospitalization in patients with psychotic disorders.Method: This retrospective cohort study included 68 patients diagnosed with psychotic disorders under mandatory forensic psychiatric follow-up between January 2022 and February 2025. Patients were categorized into two treatment groups: oral antipsychotic treatment and long-acting injectable (LAI) antipsychotic treatment. The primary outcome was rehospitalization due to violent behavior. Binary logistic regression and Cox regression analyses were performed to identify predictors of rehospitalization and treatment adherence.Results: The mean age was 46.76 years. 80.9% of the patients were male, and 70.6% were adherent to treatment. During the follow-up period, 14.7% of the patients were rehospitalized due to violent behavior. Non-adherent patients had a significantly higher risk of rehospitalization (p < 0.001), with a 15-fold increased risk compared to adherent patients. While LAI antipsychotic use, regular follow-up at Community Mental Health Centers, and more frequent psychiatric evaluations were associated with lower rehospitalization rates, these effects did not reach statistical significance.Conclusions: Treatment adherence is a key factor in preventing rehospitalization due to violent behavior. Given its substantial predictive value, interventions targeting adherence, such as LAI antipsychotic use and psychosocial support, should be prioritized. Future studies should include objective medication adherence measures, long-term follow-up, and additional clinical outcomes.

Objective: Major Depressive Disorder (MDD) is a significant mental health problem, frequently comorbid with both physical and psychiatric disorders. The association between MDD and obesity is not fully understood. Eating motivations (EMs), which relate to why and how individuals choose to eat, may be associated with disorders like obesity and MDD. Hopelessness and suicidal ideation are common symptoms of MDD. This study aimed to evaluate the relationship between EMs, depression, body mass index (BMI), hopelessness, and suicidal ideation in normal-weight and obese MDD groups compared to healthy controls. Method: The study included 50 patients with MDD and normal weight (BMI 18.5–24.9), 50 patients with MDD and obesity (BMI > 30), and 50 healthy control participants (BMI 18.5–24.9). The majority of participants were women (74% in obese MDD, 70% in normal-weight MDD, 56% in the control group). The age of the groups was similar for the normal-weight MDD and control groups, but the obese MDD group was older (control: 32.72 ± 10.07, normal-weight MDD 33.42 ± 10.24, obese MDD 39.52 ± 10.67, p = 0.002). Regarding BMI, it was as follows: control: 21.61 ± 1.92, normal-weight MDD 23.54 ± 3.60, and obese MDD 35.30 ± 5.07. Sociodemographic data form, Beck Depression Inventory, Beck Hopelessness Inventory, Suicide Ideation Scale and Eating Motivation Questionnaire were administered. Results: No significant differences were found between the MDD groups in terms of Beck Depression Inventory (BDI), Beck Hopelessness Inventory (BHI), and Suicidal Ideation Scale (SIS) scores. Significant differences were observed among all groups in most subtypes of EMs. In the obese MDD group, habits, traditional eating, price, visual appeal, and affect regulation were correlated with suicide attempts. Only traditional eating remained associated with suicide attempts, where a one-unit increase in the traditional eating score explained a 0.724-unit increase in suicide attempts. Additionally, emotion regulation was a significant predictor of suicidal ideation in the obese MDD group, where a one-unit increase in emotion regulation explained a 0.885-unit increase in suicidal ideation. Conclusions: The differentiation between suicidal ideation and EMs in obese and normal-weight MDD groups is crucial. The observed differences in EMs among the three groups with similar sociocultural characteristics are noteworthy. Clinicians should assess eating motivations as part of suicide risk evaluations in patients with comorbid MDD and obesity. Longitudinal studies are needed to clarify causal relationships between these variables.

Objective: This study aimed to investigate differences in depression, anxiety and somatosensory amplification between fibromyalgia (FM) patients with and without type D personality (TDP) and healthy controls and to examine the mediating role of somatosensory amplification in the relationship between TDP and FM severity. Methods: A total of 159 participants were included in the cross‐sectional case‐control study and divided into three groups: FM patients with TDP ( n = 56, mean age = 45.93 ± 11.01), FM patients without TDP ( n = 48, mean age = 49.17 ± 11.18) and healthy controls ( n = 55, mean age = 46.1 ± 9.64). Participants were assessed with the Fibromyalgia Impact Questionnaire (FIQ; administered only to FM patients), TDP Scale, Beck Depression Inventory, Beck Anxiety Inventory and Somatosensory Amplification Scale. Mediation analysis was performed to determine the mediating role of somatosensory amplification. Results: FM patients with TDP had significantly higher levels of depression, anxiety and somatosensory amplification compared to both FM patients without TDP and healthy controls ( p < 0.001). Correlation analyses showed strong positive associations between TDP and anxiety ( r = 0.729, p < 0.001) and depression ( r = 0.794, p < 0.001). Somatosensory amplification was found to have a significant mediating role in the relationship between TDP and FM severity ( b = 0.084, 95% CI = 0.018–0.172, p < 0.05). Conclusion: These results highlight TDP as an important psychological risk factor associated with increased depression, anxiety, and somatosensory amplification in FM patients. The apparent mediating role of somatosensory amplification suggests that addressing this mechanism and psychological stress with targeted psychosocial interventions may improve the efficacy of FM treatment.