Conclusion: Results are suggestive of a subgroup of depressive patients characterised by a specific symptomcluster and disturbed niacin skin flushing.
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Main research variables: Symptomclusters, chronic disease, and cancer as a comorbidity.
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Three symptomclusters were identified based on the severity of symptoms.
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For the total group, two symptomclusters emerged: distressful and discomfort.
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To identify symptomclusters we used cluster analysis with the hierarchical cluster agglomerative approach.
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Complex PTSD has its own symptomclusters which are additional to those for PTSD.
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Implications for nursing: Additional studies are needed to examine symptomclusters in cancer survivors.
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Exploratory factor analysis identified symptomclusters using oblique rotation to account for correlations between factors.
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Both local and systemic symptomclusters were identified.
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Conclusion: Despite the diversity in cultures studied, we found that symptomsclustered similarly among the cultural groups.
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Defining common symptomclusters and determining the associations between symptomclusters and outcomes may improve patient management.
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Factor analysis searched for possible symptomclusters.
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Women had higher verbal memory and reported more cognitive, emotional, and sleep symptomclusters compared with men.
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Objectives: To identify and compare symptomclusters in heart failure patients from the United States, Europe and Asia.
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Identification of symptomclusters could improve symptom recognition, but cultural differences may be present that must be considered.
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Conclusion: This work demonstrates how processed text could enable detection of non-specific symptomclusters for use in automated surveillance activities.