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There were no significant interaction or main effects with LEAPS scores.
Light therapy significantly improved social and family life functioning in patients with MDD. However, work functioning was not significantly improved despite large effect sizes; these results were limited by low statistical power because of small sample sizes. Future studies should use longer treatment durations and be powered to detect clinically relevant differences in functional outcomes.
Light therapy significantly improved social and family life functioning in patients with MDD. However, work functioning was not significantly improved despite large effect sizes; these results were limited by low statistical power because of small sample sizes. Future studies should use longer treatment durations and be powered to detect clinically relevant differences in functional outcomes.
The aim of this study was to adapt and modify the HIV/AIDS Stigma Instrument-Patient to develop the COVID-19 Stigma Instrument-Patient (CSI-P) and validate its psychometric characteristics, as well as explore how affected individuals in China experienced COVID-related stigma and its associated variables, including depressive symptomology and quality of life (QOL).
From September to October 2020, 151 COVID-19 survivors recruited in Shanghai, China, completed a set of measures of demographic characteristics, depression, stigma, and QOL.
The 15-item CSI-P-2 achieved a Cronbach's α of 0.67 to 0.91. The six-factor structure was obtained by exploratory factor analysis. The mean score for the CSI-P-2 in Chinese COVID survivors was 8.14±9.98. Regression analysis showed that survivors' age, comorbid diseases, education levels, and loneliness level were the factors influencing their COVID-19 stigma, explaining 37.80% of the total variance (F=19.25, p<0.001). Also, stigma's effect on QOL was significant in dire explore how to integrate the significant demographic and psychological characteristics influencing the experience of stigma work on this study into the development of stigma-reducing interventions.
While case reports and clinical trials reported withdrawal syndrome after reduction and/or discontinuation of antidepressant drugs, no large study has been conducted to compare the risk between the different antidepressants.
Using data recorded from January 1st, 1988, and December 31st, 2020 in VigiBase®, the World Health Organization's Global Individual Case Safety Reports database, we performed disproportionality analysis to investigate the risk of reporting withdrawal syndrome in patients treated by short half-life antidepressants compared with patients treated by long half-life antidepressants. In addition, we aimed to better inform clinical practice by comparing 15 antidepressants for the risk of reporting withdrawal syndrome.
Among the 338,498 reports with antidepressants of interest, we found 15,507 cases of withdrawal syndrome. Short half-lives antidepressants were associated with an increased risk of reporting a withdrawal syndrome compared to long half-life antidepressants (ROR 5.38; 95% CI 5.otonin-noradrenaline reuptake inhibitors are associated with a greater risk of reporting withdrawal syndrome, while agomelatine and vortioxetine present a lower risk. Additional studies are needed to corroborate our results.
Bipolar disorder (BD) is a severe mental disorder, characterized by prominent mood swings and emotion regulation (ER) deficits. The uncinate fasciculus (UF), a white matter tract connecting the amygdala and the ventral prefrontal cortex, has been implicated in ER. Aberrancies in UF microstructure may be an endophenotype associated with increased risk for BD. However, studies in individuals with BD and their first-degree relatives (REL) have yielded inconsistent findings. This meta-analysis takes a region-of-interest approach to consolidate the available evidence and elucidate the role of the UF in the risk-architecture of BD.
Using web-based search engines, we identified diffusion tensor imaging (DTI) studies focusing on the left and right UF and conducted meta-analyses comparing fractional anisotropy (FA) and radial diffusivity (RD) between BD or REL and healthy control participants (HC).
We included 32 studies (n
=1186, n
=289, n
=2315). Compared to HC, individuals with BD showed lower FA in the right (WMD=-0.31, p<0.0001) and left UF (WMD=-0.21, p=0.010), and higher RD in the right UF (WMD=0.32, p=0.009). We found no significant differences between REL and HC. In the right but not left UF, REL showed higher FA than BD (p=0.043).
Our findings support aberrant UF microstructure, potentially related to alterations in myelination, as a mechanism, but not as an endophenotype of BD. However, given the limited power in the REL subsample, the latter finding must be considered preliminary. Studies examining the role of the UF in individuals at familial risk for BD are warranted.
Our findings support aberrant UF microstructure, potentially related to alterations in myelination, as a mechanism, but not as an endophenotype of BD. However, given the limited power in the REL subsample, the latter finding must be considered preliminary. Studies examining the role of the UF in individuals at familial risk for BD are warranted.
COVID-19 is associated with neuropsychiatric symptoms including increased depressive, anxiety and chronic fatigue-syndrome (CFS)-like and physiosomatic symptoms.
To delineate the associations between affective and CFS-like symptoms in COVID-19 and chest computed tomography scan anomalies (CCTAs), oxygen saturation (SpO
), interleukin (IL)-6, IL-10, C-Reactive Protein (CRP), albumin, calcium, magnesium, soluble angiotensin converting enzyme (ACE2) and soluble advanced glycation products (sRAGEs).
The above biomarkers were assessed in 60 COVID-19 patients and 30 healthy controls who had measurements of the Hamilton Depression (HDRS) and Anxiety (HAM-A) and the Fibromyalgia and Chronic Fatigue (FF) Rating Scales.
Partial Least Squares-SEM analysis showed that reliable latent vectors could be extracted from a) key depressive and anxiety and physiosomatic symptoms (the physio-affective or PA-core), b) IL-6, IL-10, CRP, albumin, calcium, and sRAGEs (the immune response core); and c) different CCTAs (includ
Patients with psychotic disorders show higher rates of the metabolic syndrome (MS)between the cluster of severe mental illnesses. Depressive symptoms can worsen outcomes of individuals with psychotic disorders. However, research on the association between MS and depression in psychotic disorders and their relevance to outcomes is lacking.
We investigated the association between depression and cardiometabolic biomarkers in psychotic disorders and the predictive value of depressive symptomson psychopathological severity and quality of life (QoL).406 patientswithpsychotic disorders were recruited as part of the Improving Physical Health and Reducing Substance Use in Severe Mental Illness randomised controlled trial. Depression, psychotic symptoms, QoL, waist circumference, triglycerides, high-density lipoprotein cholesterol (HDL-C), blood pressure, and fasting glucose of patients were assessed at baseline and 12 months. Sensitivity analyses were conducted to test the effect of treatment.
More severe baseli for evaluation of strategies to address depression in the management of psychotic disorders.
Social anxiety disorder (SAD) and major depressive disorder (MDD) often co-occur; however, there is limited research evaluating how cognitive-affective and behavioral factors maintain SAD and MDD for specific individuals. Evidence suggests that individuals exhibit symptom-level heterogeneity, necessitating a person-specific approach to assessment and intervention. We compared group and person-specific models of SAD-MDD comorbidity and hypothesized that individuals would demonstrate person-specific patterns of comorbidity factors that differed from the group.
Cisgender women (N = 35) with SAD and a current or past major depressive episode were recruited. Ages ranged from 18-37 years old and a majority of women were White (n = 18; 51.43%). Brief ecological momentary assessment surveys related to SAD-MDD comorbidity were administered five times a day for a month (T = 4,357).
Multilevel and person-specific network analyses were used to examine between-, within-, and person-specific patterns. Intra-daily depressed mood demonstrated the strongest connections to other variables and exhibited additional, unexpected temporal effects. All models demonstrated person-specific patterns relevant to SAD-MDD comorbidity.
These results are descriptive in nature from women with a similar psychiatric profile. Future research integrating intensive EMA and personalized modeling within the context of experimental design is needed to determine the extent to which individuals truly differ from the group.
Patterns of SAD-MDD comorbidity varied substantially across women, underscoring the potential for results from person-specific (idiographic) networks to inform the development and implementation of personalized directives for clinical assessment and intervention.
Patterns of SAD-MDD comorbidity varied substantially across women, underscoring the potential for results from person-specific (idiographic) networks to inform the development and implementation of personalized directives for clinical assessment and intervention.
Bipolar disorder (BD) is highly recurrent and prevention of relapse and illness onset is an urgent treatment priority. This systematic review examined whether cognitive assessments can aid prediction of recurrence in patients with BD and/or illness onset in individuals at familial risk.
The review included longitudinal studies of patients with BD or individuals at familial risk of mood disorder that examined the association between cognitive functions and subsequent relapse or illness onset, respectively. We followed the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) 2020 statement. Searches were conducted on PubMed/MEDLINE, EMBASE and PsychInfo databases from inception up until May 10th 2021.
We identified 19 eligible studies; 12 studies investigated cognitive predictors of recurrence in BD (N=36-76) and seven investigated cognitive predictors of illness onset in at-risk individuals (N=84-234). In BD, general cognitive impairment, poorer verbal memory and executive function and positive bias were associated with subsequent (hypo)manic relapse -but with not depressive relapse or mood episodes in general. In first-degree relatives, impairments in attention, verbal memory and executive functions and positive bias were associated with subsequent illness onset.
The findings should be considered preliminary given the small-to-moderate sample sizes and scarcity of studies.
Subject to replication, the associations between cognitive impairment and (hypo)mania relapse and illness onset may provide a platform for personalised treatment and prophylactic strategies.
Subject to replication, the associations between cognitive impairment and (hypo)mania relapse and illness onset may provide a platform for personalised treatment and prophylactic strategies.
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