Background: Sociodemographic characteristics and limited mental health care access may contribute to higher depression rates in low- and middle-income countries. Aim This study aimed to analyze nationwide depressive disorder hospitalizations in Ecuador.
Methods: We assessed the sociodemographic characteristics, severity, recurrence, and duration of hospitalizations for depressive disorders. The dataset used is publicly available on the Ecuadorian National Institute of Statistics and Censuses website. Multivariable multinomial logistic regression was performed to calculate adjusted relative risk ratios (aRRR).
Results: 14,586 hospitalizations were analyzed during 2015-2022. There was a significant increase in depressive disorders hospitalizations, from 9.41 cases per 100,000 inhabitants in 2015 to 13.9 in 2022. Females accounted for 65.7 % of hospital admissions. Depressive disorder hospitalizations had a mean age of 33.43 years. Severe depressive disorders without psychotic symptoms had the highest average hospitalization rate during 2015-2022 with 3.53 cases per 100,000 inhabitants. Individuals aged 20-29 years (aRRR 1.68, 95 % CI 1.27-2.22) and those aged 30-39 years (aRRR 1.81, 95 % CI 1.32-2.47) had higher probabilities of hospitalization for severe depressive disorder without psychotic symptoms. Patients with severe depression with or without psychotic symptoms were more likely of being hospitalized for seven or more days. Ethnic minorities were less likely to be hospitalized for severe depressive disorder without psychotic symptoms.
Conclusion: These findings highlight the increasing rates of depressive disorders in low- and middle-income countries such as Ecuador and emphasize the necessity for public health strategies focused on vulnerable groups.
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http://dx.doi.org/10.1016/j.jad.2025.01.074 | DOI Listing |
J Clin Psychol
January 2025
Department of Clinical Psychology and Psychobiology, The Institute of Neurosciences, Universitat de Barcelona, Barcelona, Spain.
Based on the repertory grid technique, we developed Explore Your Meanings (EYME), a digital platform that helps patients explore identity values and internal conflicts using virtual reality (VR). EYME was part of a research project treating depression in young adults, including 10 weekly, 1-h sessions aimed at changing personal constructs-cognitive schemas that shape how individuals interpret reality. We present the case of Mary, a 21-year-old woman diagnosed with persistent major depressive disorder and social phobia.
View Article and Find Full Text PDFNeuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Nord J Psychiatry
January 2025
Mental Health Services, Psychiatry East, Copenhagen University Hospital, Region Zealand, Denmark.
Purpose: To describe the prevalence of self-reported depression in a socioeconomically deprived area in Denmark and the association to socioeconomic position (SEP) defined by education, occupation, and being in financial strain.
Method: 13,955 adults completing the Major Depression Inventory (MDI) in the Lolland-Falster Health Study questionnaire were included.Multivariate logistic regression on symptoms of depression based on MDI sum score and ICD-10 scores, associated to education, occupation, and financial strain - unadjusted and adjusted for sex and age group.
BMC Psychiatry
January 2025
Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).
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