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      Uncertainty and depressive symptoms as mediators of quality of life in patients with heart failure

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          Abstract

          Uncertainty in illness is regarded as a source of stress in many chronic diseases and is negatively related to health-related quality of life (HRQoL). However, studies on the relationship between uncertainty and HRQoL in patients with heart failure are limited. This study used Mishel’s theory of uncertainty in illness to investigate the mediating role of uncertainty in illness and depressive symptoms between symptom distress and HRQoL in patients with heart failure. This study used a cross-sectional correlation design. Participants were recruited by convenience sampling from outpatient services and medical wards of cardiology departments of a medical center in northern Taiwan. Data were collected for uncertainty, depressive symptoms, symptoms distress of heart failure, and HRQoL using self-report questionnaires. Demographics and clinical characteristics were analyzed with descriptive statistics. The mutual effects of disease characteristics, symptom distress, uncertainty in illness, depressive symptoms and HRQoL, as well as the overall model fitness, were analyzed by with structural equation modeling. We collected 147 qualified questionnaires. The mean score for the Mishel Uncertainty in Illness Scale for patients with heart failure was 73.5 (SD = 18.55); 65.3% of participants had a score of ≧13 on the Beck Depressive Inventory-II, indicating mild depression. Uncertainty, depressive symptoms, and HRQoL were directly related to symptom distress. Symptom distress and depressive symptoms were both mediators between uncertainty and depressive symptoms. Depressive symptoms also mediated emotional support and HRQoL. Uncertainty and depressive symptoms were important factors in the pathway between symptom distress and HRQoL for heart failure patients. We suggest providing heart failure patients with tailored interventions for effective self-management of symptoms based on Mishel’s theory of uncertainty in illness, which could help control disease symptoms, alleviate uncertainty and depression as well as improve HRQoL.

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          SPSS and SAS procedures for estimating indirect effects in simple mediation models.

          Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. A necessary component of mediation is a statistically and practically significant indirect effect. Although mediation hypotheses are frequently explored in psychological research, formal significance tests of indirect effects are rarely conducted. After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and Kenny (1986). We hope that this discussion and the macros will enhance the frequency of formal mediation tests in the psychology literature. Electronic copies of these macros may be downloaded from the Psychonomic Society's Web archive at www.psychonomic.org/archive/.
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            Depression in heart failure a meta-analytic review of prevalence, intervention effects, and associations with clinical outcomes.

            This article describes a meta-analysis of published associations between depression and heart failure (HF) in regard to 3 questions: 1) What is the prevalence of depression among patients with HF? 2) What is the magnitude of the relationship between depression and clinical outcomes in the HF population? 3) What is the evidence for treatment effectiveness in reducing depression in HF patients? Key word searches of the Medline and PsycInfo databases, as well as reference searches in published HF and depression articles, identified 36 publications meeting our criteria. Clinically significant depression was present in 21.5% of HF patients, and varied by the use of questionnaires versus diagnostic interview (33.6% and 19.3%, respectively) and New York Heart Association-defined HF severity (11% in class I vs. 42% in class IV), among other factors. Combined results suggested higher rates of death and secondary events (risk ratio = 2.1, 95% confidence interval 1.7 to 2.6), trends toward increased health care use, and higher rates of hospitalization and emergency room visits among depressed patients. Treatment studies generally relied on small samples, but also suggested depression symptom reductions from a variety of interventions. In sum, clinically significant depression is present in at least 1 in 5 patients with HF; however, depression rates can be much higher among patients screened with questionnaires or with more advanced HF. The relationship between depression and poorer HF outcomes is consistent and strong across multiple end points. These findings reinforce the importance of psychosocial research in HF populations and identify a number of areas for future study.
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              Preliminary development of a scale of social support: Studies on college students

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 November 2018
                2018
                : 13
                : 11
                : e0205953
                Affiliations
                [1 ] Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
                [2 ] Chung-Jen Junior College of Nursing, Health Sciences and Management, Chiayi, Taiwan
                [3 ] Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
                [4 ] School of Nursing, National Defense Medical Center, Taipei, Taiwan
                [5 ] Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
                [6 ] National Defense Medical Center, School of Medicine, Taipei, Taiwan
                [7 ] Department of Mathematics, Tamkang University, Taipei, Taiwan
                University of Birmingham, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤a]

                Current address: Chung-Jen Junior College of Nursing, Health Sciences and Management, Da-Hu, Hu-Bei Village, Da-Lin Township, Chia-Yi County, Taiwan

                [¤b]

                Current address: Department of Nursing, Tri-Service General Hospital, Neihu District, Taipei City, Taiwan

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-4003-7564
                Article
                PONE-D-18-13149
                10.1371/journal.pone.0205953
                6235604
                30427855
                bae03468-6982-4a24-9e2f-2a7e001b4dd8
                © 2018 Chen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 May 2018
                : 4 October 2018
                Page count
                Figures: 3, Tables: 4, Pages: 13
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Cardiology
                Heart Failure
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Medicine and Health Sciences
                Health Care
                Quality of Life
                Medicine and Health Sciences
                Cardiology
                Medicine and Health Sciences
                Health Care
                Patients
                Biology and Life Sciences
                Anatomy
                Cardiovascular Anatomy
                Heart
                Medicine and Health Sciences
                Anatomy
                Cardiovascular Anatomy
                Heart
                Medicine and Health Sciences
                Pulmonology
                Dyspnea
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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