Background: There is a bidirectional relationship between obesity and depression. We investigated whether the coexistence of obesity and depression increases the risk of having severe depression and a high suicide risk in adolescents with major depressive disorder (MDD). Additionally, we explored the potential mechanisms linking the coexistence of obesity and depression to worse outcomes in these patients.Methods: The odds of high suicide risk and severe depression were compared among MDD patients based on different body mass index (BMI) groups. Complete blood count (CBC) parameters, inflammatory ratios (neutrophil–lymphocyte ratio [NLR], monocyte-lymphocyte ratio [MLR], and platelet-lymphocyte ratio [PLR]), and cytokine levels (IFN-γ, IL-1β, IL-6, IL-8, MCP-1, TNF-α, and TGF-β1) were evaluated across BMI groups. Additionally, Pearson correlation coefficients (r) were assessed to understand the relationships between the 8Q and 9Q scores, CBC parameters, inflammatory ratios, cytokine levels, and BMI.Results: A total of 135 antidepressant-naive adolescents with MDD were included. Overweight and obese MDD patients had higher odds of having high suicide risk and severe depression than lean individuals. Furthermore, they exhibited significantly higher white blood cell (WBC), and neutrophil counts. The NLR tended to be higher in obese MDD patients than in leans. Overweight and obese MDD patients had elevated levels of interleukin (IL)-1β and IL-6 compared to lean individuals, while TGF-β1 levels appeared to decline as body weight increased. BMI showed weak positive correlations with 8Q score, WBC count, neutrophil count, monocyte count, platelet count, neutrophil percentage, and NLR, and a weak negative correlation with lymphocyte percentage. The 8Q score displayed weak positive correlations with BMI, neutrophil percentage, monocyte percentages, NLR, and MLR, and a weak negative correlation with lymphocyte percentage.Conclusion: The findings suggest that coexistence of overweight or obesity with depression heightened inflammatory responses, leading to worse outcomes and increased suicide risk in adolescents MDD patients.

The outbreak of coronavirus disease (COVID-19) in December 2019 has led to massive lifestyle, economic, and health changes. The COVID-19 pandemic has had broad impacts on psychiatric patients, exacerbating symptoms such as psychosis, depression, and suicidal ideation. Therefore, we aimed to review the psychological impacts of COVID-19 on psychiatric patients and mental healthcare staff and provide practical guidance for medical staff and authorities.The main findings of this review included the impacts of COVID-19 on psychiatric patients and mental health professionals as well as the transformation of mental health care. Greater consideration should be given to the care of patients with psychosis and depression because of their lack of self-care ability, neurocognitive impairment, and impaired immune function. Depressive symptoms can be exacerbated due to several factors, such as economic crises, social isolation, and limited physical activity. Unemployment and financial problems can lead to an increased suicide rate. Consequently, mental healthcare workers’ workload can increase, which could lead to burnout and psychological symptoms such as insomnia, depression, and anxiety.A transformation of psychiatric care is needed during the time of the pandemic. While emergency care should be maintained, outpatient care should be limited to decrease viral spread. Shifting care to telemedicine and community-based psychiatry can be helpful. Inpatient services should be adapted by tightening admission criteria, shortening the length of hospital stays, suspending some group activities, limiting visitors, and preparing for quarantine if necessary. Mental healthcare workers can be supported with telecommunication, appropriate work shifts, alternative accommodations, and good communication between the team leader and staff.

Arousal is essential for cognitive awareness, and it typically declines during prolonged tasks. Currently, mobile devices are frequently used during breaks to relax and counteract this decline. However, their impact on neurophysiological recovery remains poorly understood. Therefore, this study compared the effects of traditional quiet rest versus a mobile task break on cortical arousal using spectral analysis of electroencephalography (EEG) signals in twenty healthy young females (20–25 years). Raw EEG data were transformed using Fast Fourier Transform (FFT) to determine power spectral densities, with a state of physiological underarousal first induced via a prolonged eyes-closed condition. Results revealed that this state was characterized by reduced alpha/beta power and delta/theta synchronization starting at the 4th minute. Although traditional quiet rest suppressed delta/theta synchronization, it failed to sustain cortical arousal, with alpha and beta powers declining by the 8th minute. In contrast, passive social media browsing acted as a potent neurocognitive stimulant, not only sustaining arousal but markedly increasing high-frequency beta power by the 16th minute. Furthermore, preliminary network-level connectivity analysis using Phase Locking Value (PLV) revealed that mobile tasks induced widespread beta-band synchronization across frontal-midline regions, suggesting enhanced functional coupling within the executive control network. In conclusion, in healthy young females, while mobile tasks strategically counteract low arousal, they fail to facilitate the neurophysiological disengagement necessary for true recovery. These findings underscore the importance of digital hygiene, highlighting a distinction between alertness-boosting activities and recovery-focused rest. The results suggest that mobile tasks may create a subjective perception of rest despite objective signs of sustained cortical activation, implying that such activities may not facilitate genuine neurophysiological recovery within the context of short-term neurophysiological modulation.

Prescribing patterns are highly influenced by national healthcare structures. This study aimed to investigate the current antidepressant prescribing patter