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- van Rijn, Michelle M., et al.
(author)
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Association Between Self-care and Resilience A Cross-sectional Study in Heart Failure Patients
- 2023
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In: Journal of Cardiovascular Nursing. - : LIPPINCOTT WILLIAMS & WILKINS. - 0889-4655 .- 1550-5049. ; 38:2, s. E70-E77
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Journal article (peer-reviewed)abstract
- BackgroundSelf-care (SC) is a cornerstone in heart failure management and is related to patient outcomes. The continuous and complex demands of SC can be experienced as stressful and may require patients to apply resilient behaviors as they manage their conditions. Resilience may be a helpful factor in performing SC.ObjectiveThe aim of this study was to determine the association between resilience and SC in patients with heart failure.MethodsA cross-sectional study was performed between January 2020 and January 2021. Participants were asked to complete a questionnaire addressing baseline characteristics, the 2-item Patient Health Questionnaire, the Resilience Evaluation Scale, and the Self-Care of Chronic Illness Inventory, which measures 3 concepts of SC: SC maintenance, SC monitoring, and SC management. Multiple regression analysis was performed to determine whether resilience was associated with SC.ResultsEighty-six patients were included, and 74 patients completed the questionnaire. In the univariate analysis, an association was found between resilience and SC maintenance, resulting in an increase in SC for patients with higher resilience (beta = 0.24; 95% confidence interval, 0.03-0.96). In the multivariate analysis adjusted and corrected for confounders, no significant associations between resilience and all SC scales were found.ConclusionThis study could not demonstrate significant associations between resilience and all SC scales. This study contributes to the body of knowledge on factors that can mediate or moderate SC. Further longitudinal research should be performed to study cause-effect relationships.
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- Lapointe, Jacques, et al.
(author)
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Gene expression profiling identifies clinically relevant subtypes of prostate cancer
- 2004
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 101:3, s. 811-816
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Journal article (peer-reviewed)abstract
- Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing ≈26,000 genes. Unsupervised hierarchical clustering readily distinguished tumors from normal samples, and further identified three subclasses of prostate tumors based on distinct patterns of gene expression. High-grade and advanced stage tumors, as well as tumors associated with recurrence, were disproportionately represented among two of the three subtypes, one of which also included most lymph node metastases. To further characterize the clinical relevance of tumor subtypes, we evaluated as surrogate markers two genes differentially expressed among tumor subgroups by using immunohistochemistry on tissue microarrays representing an independent set of 225 prostate tumors. Positive staining for MUC1, a gene highly expressed in the subgroups with "aggressive" clinicopathological features, was associated with an elevated risk of recurrence (P = 0.003), whereas strong staining for AZGP1, a gene highly expressed in the other subgroup, was associated with a decreased risk of recurrence (P = 0.0008). In multivariate analysis, MUC1 and AZGP1 staining were strong predictors of tumor recurrence independent of tumor grade, stage, and preoperative prostate-specific antigen levels. Our results suggest that prostate tumors can be usefully classified according to their gene expression patterns, and these tumor subtypes may provide a basis for improved prognostication and treatment stratification.
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- Riegel, Barbara, et al.
(author)
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Symptom characteristics, perceived causal attributions, and contextual factors influencing self-care behaviors: An ecological daily assessment study of adults with chronic illness
- 2024
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In: Patient Education and Counseling. - : ELSEVIER IRELAND LTD. - 0738-3991 .- 1873-5134. ; 123
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Journal article (peer-reviewed)abstract
- Objective: Insights into how symptoms influence self-care can guide patient education and improve symptom control. This study examined symptom characteristics, causal attributions, and contextual factors influencing self-care of adults with arthritis, asthma, chronic obstructive pulmonary disease, diabetes, or heart failure. Methods: Adults (n = 81) with a symptomatic chronic illness participated in a longitudinal observational study. Using Ecological Daily Assessment, participants described one symptom twice daily for two weeks, rating its frequency, severity, bothersomeness, duration, causes, and self-care. Results: The most frequent symptoms were fatigue and shortness of breath. Pain, fatigue, and joint stiffness were the most severe and bothersome. Most participants engaged in active self-care, but those with fatigue and pain engaged in passive self-care (i.e., rest or do nothing), especially when symptoms were infrequent, mild, somewhat bothersome, and fleeting. In people using passive self-care, thoughts, feelings, and the desire to conceal symptoms from others interfered with self-care. Conclusion: Most adults with a chronic illness take an active role in managing their symptoms but some conceal or ignore symptoms until the frequency, severity, bothersomeness, or duration increases. Practice implications: When patients report symptoms, asking about self-care behaviors may reveal inaction or ineffective approaches. A discussion of active self-care options may improve symptom control.
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