Background: Biases in beliefs about the self are associated with psychopathology and depressive and anxious mood, but it is not clear if both negative and positive beliefs are associated with depression or anxiety. We examined these relationships in people who present with a wide range of depressive and anxious mood across diagnostic categories.
Methods: We probed positive and negative beliefs about the self with a task in which 74 female participants with either affective disorder (depression and/or anxiety), borderline personality disorder or no psychiatric history indicated the degree to which 60 self-related words was "like them" or "not like them". Depressive and anxious mood were assessed with the Beck Depression Inventory-II and the Beck Anxiety Inventory.
Results: The participants with no psychiatric history (n=25) reported a positive bias in their beliefs about the self, the participants with affective disorder (n=23) reported no bias, and the participants with BPD (n=26) reported a negative bias. Two hierarchical multiple regressions demonstrated that the positive and negative beliefs contributed additively to the ratings of depression (corrected for anxiety), but did not contribute to the ratings of anxiety (corrected for depression).
Limitations: Despite the apparent small sample size, the regression analyses indicated adequate sampling. Anxiety is a much more heterogeneous condition than is depression, so it may be difficult to find relevant self-descriptors. Only measures of endorsement were used.
Conclusions: Biases in beliefs about the self are associated with depressed, but not anxious mood, across diagnostic categories.
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http://dx.doi.org/10.1016/j.comppsych.2016.12.009 | DOI Listing |
Glob Ment Health (Camb)
December 2024
Department of Anthropology, School of Sociology and Political Science of Anhui University, No: 111 Jiulong Road, Jingkai District, Hefei City, Anhui Province 230601, P.R. China.
Climate anxiety has a negative impact on the mental health and psychological well-being of the vulnerable population. The goal is to assess many factors that affect mental health and psychological well-being, as well as how climate change affects mental health in Pakistan's vulnerable population. This study provides evidence-based insights into the long- and medium-term impacts of extreme weather events on mental health.
View Article and Find Full Text PDFClin Transplant
January 2025
Department of Cardiovascular Surgery, Başkent University Faculty of Medicine, Ankara, Turkey.
Introduction: End-stage heart failure (ESHF) remains a significant challenge despite optimal treatment, with heart transplantation (HTx) being the gold standard of care. Mechanical circulatory support (MCS) devices such as left ventricular assist devices (LVADs) are increasingly used for temporary or permanent treatment. Psychiatric comorbidities are common in patients with ESHF and may affect treatment outcomes, but the relationship between sociodemographic, clinical, and psychiatric characteristics remains unclear.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Network Science Institute, Northeastern University, Boston, Massachusetts.
Importance: Efforts to understand the complex association between social media use and mental health have focused on depression, with little investigation of other forms of negative affect, such as irritability and anxiety.
Objective: To characterize the association between self-reported use of individual social media platforms and irritability among US adults.
Design, Setting, And Participants: This survey study analyzed data from 2 waves of the COVID States Project, a nonprobability web-based survey conducted between November 2, 2023, and January 8, 2024, and applied multiple linear regression models to estimate associations with irritability.
Cancer
January 2025
Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Background: This study evaluated the prevalence of various mental disorders and their influence on mortality outcomes in individuals with cancer.
Methods: The authors' institutional database included patients with cancer diagnosed between 2011 and 2015 who had mental disorders and death information up to 2021. Mental disorders included nonaffective psychotic disorders, affective psychotic disorders, anxiety-related and stress-related disorders, alcohol or drug misuse, and mood disorders without psychotic symptoms.
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