Relationship of coping styles with quality of life and depressive symptoms in older heart failure patients

University of Iowa, Iowa City, USA.
Journal of Aging and Health (Impact Factor: 1.56). 03/2007; 19(1):22-38. DOI: 10.1177/0898264306296398
Source: PubMed

ABSTRACT This study examines the relationship between coping styles, quality of life, and depressive symptoms in older heart failure patients. Eighty heart failure patients seeking treatment in an outpatient heart failure or family practice clinic participated in a study examining depression, disability, and heart failure. Patients completed a clinical interview and questionnaires about mood, functional impairment, comorbid illness, quality of life, and coping. Heart failure severity and maladaptive coping styles, including denial, self-distraction, and self-blame, negatively affected quality of life and depressive symptoms. The use of maladaptive coping strategies involves efforts that divert attention from the illness and suggests the need to provide heart failure patients the skills to directly address the stress associated with their illness. Interventions that target these coping strategies may help patients take a more active role in their heart failure management and may improve psychological and cardiac outcomes.

  • [Show abstract] [Hide abstract]
    ABSTRACT: The purpose of this study was to determine health-related quality of life (HRQOL) among adults with autism, and compare it to the HRQOL of the general adult population in the United States (US). Factors predicting HRQOL of adults with autism were also identified. A cross-sectional online survey was conducted to gather study information. From adults with autism registered with the Interactive Autism Network (IAN), those aged 18 years and above and having the capacity to self-report were identified and approached for study participation. The final sample included 291 adults with autism. One-way t-test revealed adults with autism to have significantly lower physical and mental HRQOL than their counterparts in the US population. Using linear regression analysis, modifiable factors including social support and coping along with other socio-demographic and medial characteristics were identified as significant predictors of physical and mental HRQOL. Greater perceived adequacy of social support from friends and family was associated with better HRQOL, while greater use of maladaptive coping was associated with lower HRQOL. Clinicians and other health interventionist should consider assessing these factors among adults with autism, and provide necessary capabilities to these adults with the aim of improving their HRQOL.
    Research in Autism Spectrum Disorders 03/2014; 8(3):157–167. DOI:10.1016/j.rasd.2013.11.003 · 2.96 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The influences on the psychological well-being of heart failure (HF) patients have received limited attention. Illness perceptions are a specific set of cognitive representations that have been shown to predict health-related outcomes in other patient groups. This study sought to explore the role of illness perceptions in the psychological well-being of HF patients by creating a profile of illness perceptions in HF and examining their relations with anxiety and depression. Participants were 95 consecutive outpatients. Indices of psychological well-being were depression and anxiety, measured using the Hospital Anxiety and Depression Scale (HADS). Illness perceptions were measured using the Illness Perception Questionnaire - Revised (IPQ-R). Functional status was also determined using the New York Heart Association (NYHA) classification. Illness perceptions were associated with indices of psychological well-being. Regression analyses showed that illness perceptions accounted for a significant proportion of the variance in both depression and anxiety. The contribution of illness perceptions was greater than that made by traditional covariates (socio-demographic variables and functional status). Results highlight dynamic interrelations between perceptions of illness and mental health indices. They also suggest that in considering the role of illness perceptions in psychological well-being, the primary focus should be on the overall dynamic of an individual's illness experience rather than on specific illness dimensions. Findings highlight the potential role of illness perceptions in depression and anxiety in HF. This has implications for interventions to maximise psychological well-being in this patient group.
    11/2014; 2(1):50. DOI:10.1186/s40359-014-0050-3
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Heart failure is a chronic disease which can cause emotional imbalance, with anxiety and depression as two of the most prevalent emotional manifestations of mental suffering. In this study, with the aim of analyzing the effect of a nursing intervention in reducing anxiety and depression, a nursing intervention plan was developed based on Ellis’s rational-emotive behavioral approach with 10 inpatients in a pre-transplant situation. These patients were identified through screening using a measurement scale and/or through referral by the multidisciplinary team, and through further validation by a structured interview. The plan was implemented according to the individual needs identified, and the following techniques were used: relaxation, therapeutic communication and helping relationship, cognitive restructuring skills and training on the connection between thought and emotion. Quantitative data analyses were conducted based on field notes, health team observations and patients’ narratives. Findings suggest a reduction in anxiety and depressive symptoms, an increase of hope and a calming effect resulting from acceptance of the illness. The narrative analysis allows us to understand the importance of the therapeutic alliance and the benefit attributed by patients. It demonstrates the usefulness of specialized intervention in mental health nursing in these critical situations.
    Revista de Enfermagem Referência 12/2013; III(11):29-35. DOI:10.12707/RIII1305 · 0.10 Impact Factor