Dataset Information

A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.

ABSTRACT: OBJECTIVE:The longitudinal mood course is highly variable among patients with bipolar disorder(BD). One of the strongest predictors of the future disease course is the past disease course, implying that the vulnerability for developing a specific pattern of symptoms is rather consistent over time. We therefore investigated whether BD patients with different longitudinal course types have symptom correlation networks with typical characteristics. To this end we used network analysis, a rather novel approach in the field of psychiatry. METHOD:Based on two-year monthly life charts, 125 patients with complete 2 year data were categorized into three groups: i.e., a minimally impaired (n = 47), a predominantly depressed (n = 42) and a cycling course (n = 36). Associations between symptoms were defined as the groupwise Spearman's rank correlation coefficient between each pair of items of the Young Mania Rating Scale (YMRS) and the Quick Inventory of Depressive Symptomatology (QIDS). Weighted symptom networks and centrality measures were compared among the three groups. RESULTS:The weighted networks significantly differed among the three groups, with manic and depressed symptoms being most strongly interconnected in the cycling group. The symptoms with top centrality that were most interconnected also differed among the course group; central symptoms in the stable group were elevated mood and increased speech, in the depressed group loss of self-esteem and psychomotor slowness, and in the cycling group concentration loss and suicidality. CONCLUSION:Symptom networks based on the timepoints with most severe symptoms of bipolar patients with different longitudinal course types are significantly different. The clinical interpretation of this finding and its implications are discussed.

SUBMITTER: Koenders MA

PROVIDER: S-EPMC4624774 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.

Koenders M A MA de Kleijn R R Giltay E J EJ Elzinga B M BM Spinhoven P P Spijker A T AT

PloS one 20151027 10

<h4>Objective</h4>The longitudinal mood course is highly variable among patients with bipolar disorder(BD). One of the strongest predictors of the future disease course is the past disease course, implying that the vulnerability for developing a specific pattern of symptoms is rather consistent over time. We therefore investigated whether BD patients with different longitudinal course types have symptom correlation networks with typical characteristics. To this end we used network analysis, a ra ...[more]

PMID: 26505477

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Project description:Background and Objectives: Depressive symptoms are prominent in both major depressive disorder (MDD) and bipolar disorder (BD). However, comparative research on the network structure of depressive symptoms in these two diagnostic groups has been limited. This study aims to compare the network structure of depressive symptoms in MDD and BD, providing a deeper understanding of the depressive symptomatology of each disorder. Materials and Methods: The Zung Self-Rating Depressive Scale, a 20-item questionnaire, was administered to assess the depressive symptoms in individuals with MDD (n = 322) and BD (n = 516). A network analysis was conducted using exploratory graph analysis (EGA), and the network structure was analyzed using regularized partial correlation models. To validate the dimensionality of the Zung SDS, principal component analysis (PCA) was adopted. Centrality measures of the depressive symptoms within each group were assessed, followed by a network comparison test between the two groups. Results: In both diagnostic groups, the network analysis revealed four distinct categories, aligning closely with the PCA results. "Depressed affect" emerged as the most central symptom in both MDD and BD. Furthermore, non-core symptoms, "Personal devaluation" in MDD and "Confusion" in BD, displayed strong centrality. The network comparison test did not reveal significant differences in the network structure between MDD and BD. Conclusions: The absence of significant differences in the network structures between MDD and BD suggests that the underlying mechanisms of depressive symptoms may be similar across these disorders. The identified central symptoms, including "Depressed affect", in both disorders and the distinct non-core symptoms in each highlight the complexity of the depressive symptomatology. Future research should focus on validating these symptoms as therapeutic targets and incorporate various methodologies, including non-metric dimension reduction techniques or canonical analysis.

Project description:BackgroundCancer can cause physical changes and affect satisfaction with a persons' physical appearance, which in turn can affect overall quality of life. Previous studies have primarily focused on women with breast cancer and few is known about body image in patients with other cancers and especially men. The present study compares satisfaction with body image of patients with different types of cancer with the general population and across sexes and identifies risk factors for diminished body image. Additionally, patients that were diagnosed within the last year and those living with cancer for longer are compared.MethodsIn this cross-sectional study, N = 531 cancer patients answered the German Self-Image Scale to assess body image. One sample t-tests are utilized to compare the body image of cancer patients with the general population. Stepwise regression analyses were used to identify factors associated with body image and ANOVAs with posthoc tests as well as t-tests were used to examine group differences.ResultsCancer patients showed diminished body image compared to the general population. For men, higher relationship satisfaction and lower cancer-specific distress were associated with more positive body self-acceptance (SA), whereas younger age, higher relationship satisfaction, and lower cancer-specific distress resulted in better perceived partner-acceptance of one's body (PA). In women, higher education, lower anxiety and cancer-specific distress were associated with more positive SA. Female cancer patients with breast/gynecological cancer reported better SA than those with visceral cancers. Higher relationship satisfaction and lower cancer-specific distress were found to be associated with more satisfactory PA in females. Time since diagnosis did not affect body image in this study.ConclusionsResults indicate that cancer patients regardless of sex tend to have decreased body image satisfaction. Future research directions include examination of additional entities of cancer, deeper research in men and the role of time since diagnosis.

Dataset Information

A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.

Publications

A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.

Similar Datasets

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