Poster #M157 THE DANISH HIGH RISK AND RESILIENCE STUDY – VIA 7-ATTACHMENT STYLE, HOME ENVIRONMENT AND EMOTIONAL CLIMATE AMONG 7-YEAR- OLD CHILDREN WITH FAMILIAR HIGH RISK OF DEVELOPING SCHIZOPHRENIA SPECTRUM DISORDER OR BIPOLAR DISORDER

2014 ◽  
Vol 153 ◽  
pp. S247
Author(s):  
Anne A.E. Thorup ◽  
Nicoline Hemager ◽  
Jens Richardt Jepsen ◽  
Camilla Jerlang Christiani ◽  
Anne Ranning ◽  
...  
2019 ◽  
Vol 216 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Michele Fornaro ◽  
Marco Solmi ◽  
Brendon Stubbs ◽  
Nicola Veronese ◽  
Francesco Monaco ◽  
...  

BackgroundThe elderly population and numbers of nursing homes residents are growing at a rapid pace globally. Uncertainty exists regarding the actual rates of major depressive disorder (MDD), bipolar disorder and schizophrenia as previous evidence documenting high rates relies on suboptimal methodology.AimsTo carry out a systematic review and meta-analysis on the prevalence and correlates of MDD, bipolar disorder and schizophrenia spectrum disorder among nursing homes residents without dementia.MethodMajor electronic databases were systematically searched from 1980 to July 2017 for original studies reporting on the prevalence and correlates of MDD among nursing homes residents without dementia. The prevalence of MDD in this population was meta-analysed through random-effects modelling and potential sources of heterogeneity were examined through subgroup/meta-regression analyses.ResultsAcross 32 observational studies encompassing 13 394 nursing homes residents, 2110 people were diagnosed with MDD, resulting in a pooled prevalence rate of 18.9% (95% CI 14.8–23.8). Heterogeneity was high (I2 = 97%, P≤0.001); no evidence of publication bias was observed. Sensitivity analysis indicated the highest rates of MDD among North American residents (25.4%, 95% CI 18–34.5, P≤0.001). Prevalence of either bipolar disorder or schizophrenia spectrum disorder could not be reliably pooled because of the paucity of data.ConclusionsMDD is highly prevalent among nursing homes residents without dementia. Efforts towards prevention, early recognition and management of MDD in this population are warranted.


2021 ◽  
Author(s):  
Aili Roetterud Loechen ◽  
Knut Kolskaar ◽  
Ann-Marie Glasoe de Lange ◽  
Markus Sneve ◽  
Beathe Haatveit ◽  
...  

Objective: Low-level sensory disruption is hypothesized as a precursor to clinical and cognitive symptoms in severe mental disorders. We compared visual discrimination performance in patients with schizophrenia spectrum disorder or bipolar disorder with healthy controls, and investigated associations with clinical symptoms and IQ. Methods: Patients with schizophrenia spectrum disorder (n=32), bipolar disorder (n=55) and healthy controls (n=152) completed a computerized visual discrimination task. Participants responded whether the latter of two consecutive grids had higher or lower spatial frequency, and discrimination thresholds were estimated using an adaptive maximum likelihood procedure. Case-control differences in threshold were assessed using linear regression, F-test and post-hoc pair-wise comparisons. Linear models were used to test for associations between visual discrimination threshold and psychotic symptoms derived from the PANSS and IQ assessed using the Matrix Reasoning and Vocabulary subtests from the Wechsler Abbreviated Scale of Intelligence (WASI). Results: Robust regression revealed a significant main effect of diagnosis on discrimination threshold (robust F=6.76, p=.001). Post-hoc comparisons revealed that patients with a schizophrenia spectrum disorder (mean=14%, SD=0.08) had higher thresholds compared to healthy controls (mean=10.8%, SD = 0.07, β = 0.35, t=3.4, p=0.002), as did patients with bipolar disorder (12.23%, SD=0.07, β= 0.21, t=2.42, p=0.04). There was no significant difference between bipolar disorder and schizophrenia (β=-0.14, t=-1.2, p=0.45). Linear models revealed negative associations between IQ and threshold across all participants when controlling for diagnostic group (β = -0.3, t=-3.43, p=0.0007). This association was found within healthy controls (t=-3.72, p=.0003) and patients with bipolar disorder (t=-2.53, p=.015), and no significant group by IQ interaction on threshold (F=0.044, p=.97). There were no significant associations between PANSS domain scores and discrimination threshold. Conclusion: Patients with schizophrenia spectrum or bipolar disorders exhibited higher visual discrimination thresholds than healthy controls, supporting early visual deficits among patients with severe mental illness. Discrimination threshold was negatively associated with IQ among healthy controls and bipolar disorder patients. These findings elucidate perception-related disease mechanisms in severe mental illness, which warrants replication in independent samples.


2018 ◽  
Vol 26 (1-2) ◽  
pp. 14-20 ◽  
Author(s):  
Olga Santesteban-Echarri ◽  
Danijela Piskulic ◽  
Rowen K Nyman ◽  
Jean Addington

Background Despite its increased use in mental health, both health care provision by telehealth and research are in the early stages. Videoconferencing, a telehealth subfield, has been mainly used for the medication management and delivery of psychological treatments for mood, adjustment and anxiety disorders, and to a lesser extent for psychotic disorders. Objectives The focus of this scoping review is on studies using videoconferencing for intervention for individuals with a diagnosis of schizophrenia-spectrum disorder and those who may be considered to be in the very early stages of psychosis (clinical high risk). The aim of this review is to assess the feasibility, acceptability and clinical benefits of videoconferencing interventions and compare them with face-to-face interventions for this population. Methods A scoping review of peer-reviewed original research on the use of videoconferencing for intervention purposes in individuals with a schizophrenia-spectrum disorder or at clinical high risk. Results Out of 13,750 citations, 60 articles were retrieved for detailed evaluation, resulting in 14 eligible studies ( N = 439 individuals). There was no study reporting on videoconferencing interventions for individuals at clinical high risk. All the studies reported that videoconferencing implementation was feasible, and most of them described high acceptance by individuals with a schizophrenia-spectrum disorder. However, selection bias of studies was high, and overall methodological quality was poor. Conclusion Videoconferencing interventions seem feasible for participants with schizophrenia-spectrum disorder who showed high acceptance of this intervention modality.


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