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Association between personality and cognitive bias in adults with and without depression.
BMC Psychol
December 2024
Department of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Background: Cognitive bias plays a crucial role in the onset and persistence of depression. Research has established a link between personality traits and cognitive bias; however, most of them focused on the general population, overlooking individuals with depression. We aim to explore the relationship between personality and cognitive bias in patients with major depressive disorder (MDD) and compare the results with healthy controls (HCs) to identify potential patterns.
View Article and Find Full Text PDFLongitudinal relationship between adverse childhood experiences and depressive symptoms: the mediating role of physical pain.
BMC Psychiatry
December 2024
Department of Medical Affairs, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Background: This study explored the relationship between Adverse Childhood Experiences (ACE), physical pain, and depressive symptoms, and examined the mediating role of pain in the correlation between ACE and depressive symptoms among middle-aged and elderly Chinese (over the age of 45).
Methods: Cox proportional hazards regression models were used to analysis the association between ACE, physical pain, and depressive symptoms. To assess the mediating role of physical pain in the relationship between ACE and depressive symptoms, mediation analysis was conducted.
A nomogram to distinguish noncardiac chest pain based on cardiopulmonary exercise testing in cardiology clinic.
BMC Med Inform Decis Mak
December 2024
Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Background: Psychological disorders, such as anxiety and depression, are considered to be one of the causes of noncardiac chest pain (NCCP). And these patients can be challenging to differentiate from coronary artery disease (CAD), leading to a considerable number of patients still undergoing angiography. We aim to develop a practical prediction model and nomogram using cardiopulmonary exercise testing (CPET), to help identify these patients.
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