Objectives: There is a strong association between depression and pain, which is influenced by various biological and psychological mechanisms. The objectives of this study were to assess the prevalence and severity of pain symptoms among patients with major depression; and to determine the correlation between pain with clinical variables, neurotic pathology and severity of depression.
Methods: Fifty-one Malay patients with major depressive disorder without psychotic feature enrolled for the study. They were assessed with the Hamilton Rating Scale for Depression (HAM-D), Brief Pain Inventory (BPI) and Crown Crisp Experiential Index (CCEI).
Results: The majority (80.4%) of the subjects had experienced pain, but overall severity of the pain was mild (33.3%). There were no statistically significant differences in socio-demographic variables with the status of pain. The prevalence of pain was significantly higher in patients who were still depressed (p<0.05), had anxious depression (p<0.05) and those with prominent somatic symptoms of anxiety (SOM) (p<0.05). The severity of pain was significantly correlated with neuroticism, the severity of depression (HAM-D total score) and high scores on SOM, DEP and FFA subscales of the CCEI. Among the three, the DEP subscale had the highest correlation with severity of pain.
Conclusions: The somatising patients were heterogeneous group. The pain symptoms were common in severe mixed anxiety-depression, predisposed by the underlying neurotic pathology. Neuroticism and high scores on SOM, DEP and FFA subscales of the CCEI contributed significantly to the pathogenesis of depressed Malay patients with pain symptoms.
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http://dx.doi.org/10.1016/j.ajp.2012.02.015 | DOI Listing |
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
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March 2025
Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin.
Background And Objectives: Cognitive deficits represent a major long-term complication of anti-leucine-rich, glioma-inactivated 1 encephalitis (LGI1-E). Although severely affecting patient outcomes, the structural brain changes underlying these deficits remain poorly understood. In this study, we hypothesized a link between white matter (WM) networks and cognitive outcomes in LGI1-E.
View Article and Find Full Text PDFBraz J Biol
January 2025
Operational Research Center in Healthcare, Near East University, Mersin, Turkey.
Hepatitis C virus (HCV) presents a significant global health concern, affecting 3.3% of the world's population. The primary mode of HCV transmission is through blood and blood products.
View Article and Find Full Text PDFArq Bras Oftalmol
January 2025
Department of Ophthalmology, Tinaztepe University Hospital, Izmir, Turkey.
Purpose: This study aimed to evaluate the quality and reliability of YouTube videos as an educational resource about retinopathy of prematurity.
Methods: Videos were sourced from YouTube using the search terms "retinopathy of prematurity" and "premature retinopathy" with the default settings. Each video was assessed on the following metrics: views, likes, dislikes, comments, upload source, country of origin, view ratio, like ratio, and video power index.
Colorectal cancer (CRC) is the second leading cause of cancer-related mortality globally. While immunotherapeutic approaches are effective in a subset of CRC patients, the majority of CRC cases receive limited benefits from immunotherapy. This study developed an immune subtype classification system based on diverse immune cells and pathways.
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