Cluster analysis differentiates high and low community functioning in schizophrenia: Subgroups differ on working memory but not other neurocognitive domains

Alden, Eva C.; Cobia, Derin; Reilly, James L.; Smith, Matthew J.

doi:10.1016/j.schres.2015.07.011

Cited by 15 publications

(15 citation statements)

References 58 publications

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“…Cluster analysis is a statistical technique that identifies subgroups in wider multidimensional or heterogeneous data, which application to multifaceted diseases, such as major depression, could help dissect disease heterogeneity, advancing diagnostic criteria, and improving treatment plans 34 – 36 .…”

Section: Introductionmentioning

confidence: 99%

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

et al. 2020

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A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant betweengroup differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researchedbased definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.

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Section: Introductionmentioning

confidence: 99%

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

et al. 2020

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“…Quantitative assessment of the correlation between the UPSA and the SLOF was based on estimates from 18 studies, which reported the overall SLOF score, or enough information to derive it [17, 18, 20–24, 26–30, 34, 36, 56, 76, 79]. Of these, four studies reported the full length UPSA [20, 21, 24, 34], 13 studies reported the UPSA-B [17, 18, 22, 24, 26–30, 36, 56, 76], and one study reported the UPSA-VIM [79]. Baseline characteristics of the patient populations in these studies with respect to gender, age, ethnicity, and years of education were similar.…”

Section: Resultsmentioning

confidence: 99%

Assessing the Relationship between Performance on the University of California Performance Skills Assessment (UPSA) and Outcomes in Schizophrenia: A Systematic Review and Evidence Synthesis

Szabo¹,

Merikle

Lozano‐Ortega³

et al. 2018

Schizophrenia Research and Treatment

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Objective To perform a systematic review of the published literature to evaluate how functional capacity, as measured by the University of California at San Diego (UCSD) Performance-based Skills Assessment (UPSA), relates to other functional measures and real-world outcomes among individuals with schizophrenia. Methods The MEDLINE® and Embase® databases were searched to identify joint evaluations with UPSA and key functional outcomes (functional scale measures; generic or disease-specific, health-related quality of life [HRQoL]; or real-world outcomes [residential status; employment status]) in patients with schizophrenia. Pearson correlations were estimated between UPSA scores, HRQoL, other functional scale measures, and real-world outcomes, for outcomes described in at least six studies. Results The synthesis included 76 studies that provided 73 unique data sets. Quantitative assessment between the Specific Level of Function (SLOF) (n=18) scores and UPSA scores demonstrated a moderate borderline-significant correlation (0.45, p=0.06). Quantitative analysis of the relationship between the Global Assessment of Functioning (GAF) (n=11) and the Multidimensional Scale of Independent Functioning (MSIF) (n=6) scales revealed moderate and small nonsignificant Pearson correlations of -0.34 (p=0.31) and 0.12 (p=0.83), respectively. There was a small borderline-significant correlation between UPSA score and residential status (n=36; 0.31; p=0.08), while no correlation was found between UPSA score and employment status (n=19; 0.04; p=0.88). Conclusion The SLOF was the most often used functional measure and had the strongest observed correlation with the UPSA. Although knowledge gaps remain, evidence from this review indicates that there is a quantitative relationship between functional capacity and real-world outcomes in individuals with schizophrenia.

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“…However, we enhanced the operationalization of disorder severity by adding community functioning. Community functioning goes beyond symptom severity by measuring an individual's completion of daily responsibilities, engagement with others, and functional independence (Aldey, Cobia, Reilly, & Smith, 2015;Bybee et al, 2003). Examples of community functioning include completing daily chores, balancing a budget, reliably working or attending school, joining others for conversations, keeping appointments, and having a positive relationship with a therapist (Bybee et al, 2003).…”

Section: Disorder Severity and Community Functioningmentioning

confidence: 99%

Model Development of Mothering by Women with Bipolar Illness

Lewin

Templin

2016

Issues in Mental Health Nursing

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A sensitive, secure, and consistent relationship with their mother is critical for young children. There is a dearth of knowledge about the quality of mothering of young children by women with bipolar disorder. These mothers are frequently challenged, unable to provide consistency, and are at risk for loss of child custody. The model described in this article reflects a critical analysis of conceptual and empirical literature regarding mothering quality, resourcefulness, disorder severity, medication adherence, social supports, and child-rearing beliefs. The model can provide a conceptual framework for research, direct the selection of research instruments, and hypothesize the relationships among constructs.

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Cluster analysis differentiates high and low community functioning in schizophrenia: Subgroups differ on working memory but not other neurocognitive domains

Cited by 15 publications

References 58 publications

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

Assessing the Relationship between Performance on the University of California Performance Skills Assessment (UPSA) and Outcomes in Schizophrenia: A Systematic Review and Evidence Synthesis

Model Development of Mothering by Women with Bipolar Illness

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