depression

BackgroundExercise is increasingly recognized as an effective adjunctive treatment for depression; however, the neurobiological mechanisms underlying its antidepressant effects remain incompletely understood. This study investigated whether a 12-week high-intensity interval training (HIIT) program could alleviate depressive symptoms by modulating peripheral neurotransmitter profiles and autonomic…

Spending hours each day on social media may be more closely connected to depression than many other parts of daily life, according to a large study that examined more than a decade of survey data. Researchers from the University of Cincinnati and Northwestern University found that social media use was one of the strongest predictors […] The post 2.5 Hours of Social Media Use Strongly Linked to De…

ObjectiveDepression is a heterogeneous psychiatric disorder and a growing public health concern, characterized by its high prevalence, recurrence rate, and association with suicide. There is evidence suggesting that both genetic susceptibility and environmental factors can regulate gene expression through DNA methylation, thereby influencing the occurrence and development of depression. The olfac…

IntroductionDepressive disorders are a prevalent psychiatric condition; major depressive disorder (MDD) specifically affects approximately 5.7% of adults worldwide and is associated with high levels of disability and disease burden. Although effective interventions are available, some patients do not achieve adequate remission or response rates. In such cases, clinicians often combine interventio…

BackgroundElectroconvulsive therapy (ECT) remains a rapid and highly effective treatment for severe, treatment-resistant depression in adolescents, particularly when immediate suicide risk is present. However, its clinical utilization in the pediatric population is still low, largely restricted by pervasive concerns regarding cognitive impairment. While randomized trials in adults suggest that bi…

BackgroundTreatment resistant depression (TRD) is a burdensome condition with a severe impact on patients’ everyday lives. Therapeutics have improved in the last decade, however, outcomes remain poor. Real-world characterization has become increasingly important to accurately depict the clinical setting. ResisToday was an observational, prospective, multicenter study that aimed to increase availa…

Electroencephalography (EEG)-based depression classification requires interpretable machine-learning approaches and validation strategies that avoid subject-level information leakage. This single-center pilot study developed and internally evaluated a marker-based interpretable machine-learning framework using eight-channel resting-state EEG. After quality control, 48 participants were included, …

Depression affects hundreds of millions of people worldwide and is expected to become an even greater public health challenge over the coming decades. While many patients improve with antidepressants, counselling, or a combination of both, others continue to struggle despite receiving appropriate treatment. Scientists are therefore developing new therapies that target the brain directly rather [……

Date of Conferral 5-7-2026 Date of Award May 2026 Degree Ph.D. School Psychology Advisor Leslie Barnes-Young Recommended Citation Quirindongo Belvis, Fernando Juan, "Factors Associated with Depression Among First- and Third-Year Medical Students in the Caribbean and United States" (2026). Walden Dissertations and Doctoral Studies. 20025. https://scholarworks.waldenu.ed…

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