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Browsing by Autor "Eugenio Ferro"

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    233. BDNF Methylation and Stress Response in a Clinical Population with Major Depressive Disorder
    (Elsevier BV, 2017) Maria Claudia Latigg; Victor Andres Villamizar; Alejandra Gaviria; José Ángel; Catalina Cañizares; Eugenio Ferro; Álvaro Arenas; Yvonne Gómez
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    ASSESSMENT OF PERCEPTION OF STRESSFUL LIFE EVENTS AS IMPORTANT FACTORS IN MAJOR DEPRESSIVE DISORDER (MDD)
    (Elsevier BV, 2019) Liliana Galeano Petro; Alejandra Gaviria; Catalina Cañizares; Catalina González Uribe; Eugenio Ferro; Álvaro Arenas; Yvonne Gómez; Claudia Lattig
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    M37 DEPICTING THE COMPLEXITY: HOW CERTAIN PSYCHOLOGICAL FACTORS AND A SPECIFIC EPIGENETIC MARK ARE RELATED TO MAJOR DEPRESSION DISORDER
    (Elsevier BV, 2019) María Marcela Velásquez Toledo; Yvonne Gómez; Eugenio Ferro; Álvaro Arenas; Catalina González Uribe; Ileana Manzanilla; Claudia Lattig
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    SA44WHAT CPGS CAN TELL: AN APPROACH TO THE METHYLATION PATTERN OF BDNF PROMOTER IV IN MAJOR DEPRESSION DISORDER AND ITS RELATION TO STRESS
    (Elsevier BV, 2019) María Marcela Velásquez Toledo; Yvonne Gómez Maquet; Eugenio Ferro; Álvaro Arenas; Catalina González Uribe; Ileana Manzanilla; Claudia Lattig
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    The role of cognitive schemas and childhood adversity in the likelihood of developing Major Depressive Disorder
    (Konrad Lorenz Fundación Universitaria, 2022) Yvonne Gómez; María Marcela Velásquez Toledo; Catalina Cañizares; Catalina González Uribe; Ileana Manzanilla; Eugenio Ferro; Diana Agudelo; Álvaro Arenas; María Claudia Lattig; Universidad de los Andes, Bogotá, Colombia
    Introduction/objective: Major Depressive Disorder (MDD) is a multifactorial mental health disorder. Stressful events and childhood abuse have been included in different models to explain its etiology. However, little evidence is available on how attributional style and early maladaptive schemas are related to MDD. Method: A retrospective case-control study using a three-stage hierarchical logistic model was conducted to explore the relationship between MDD and psychosocial variables such as childhood adversity, stressful life events, attributional style, and cognitive schemas in a sample of 171 individuals with a current depressive episode and 171 healthy controls. Results: Depression could be predicted by childhood adversity, an attributional style characterized by interpreting stressful events as negative and uncontrollable and the cognitive schemas in impaired autonomy/performance domains and impaired limits. Conclusions: Our results highlight the relevance of identifying cognitive factors, beyond clinical symptoms that could be useful to better understand MDD. These findings may result in better preventive programs and create awareness of the role of cognitive domains in MDD.
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    W39. GENE–ENVIRONMENT INTERACTIONS AND POLYGENIC RISK IN COLOMBIAN PATIENTS WITH MAJOR DEPRESSION DISORDER
    (Elsevier BV, 2025) Claudia Lattig; Eugenio Ferro; Carlos Arturo Torres; Yvonne Gómez; Luis Hernández

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