Self-efficacy for coping. Utility of the Cancer behavior inventory (Italian) for use in palliative care

Background: Newer models of palliative and supportive cancer care view the person as an active agent in managing physical and psychosocial challenges. Therefore, personal efficacy is an integral part of this model. Due to the lack of instruments in Italian to assess coping self-efficacy, the present study included the translation and validation of the Italian version of the Cancer Behavior Inventory-Brief (CBI-B/I) and an initial analysis of the utility of self-efficacy for coping in an Italian sample of palliative care patients. Methods: 216 advanced cancer patients who attended palliative care clinics were enrolled. The CBI-B/I was administered along with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30), the Mini Mental Adjustment to Cancer Scale (Mini-MAC), the Cancer Concerns Checklist (CCL), and the Hospital Anxiety and Depression Scale (HADS). The Eastern Cooperative Oncology Group Performance Status (ECOG-PS) ratings of functional capacity were completed by physicians. Results: Factor analysis confirmed that the structure of the CBI-B/I was consistent with the English version. Internal consistency reliability and significant correlations with the EORTC QLQ-C30, Mini-MAC, and HADS supported the concurrent validity of the CBI-B/I. Differences in CBI-B/I scores for high versus low levels of the CCL and ECOG-PS supported the clinical utility of the CBI-B/I. Conclusions: The CBI-B/I has strong psychometric properties and represents an important addition to newer model of palliative and supportive care. In order to improve clinical practice, the CBI-B/I could be useful in identifying specific self-efficacy goals for coping in structured psychosocial intervention

The VIMOS VLT Deep Survey: Tracing the galaxy stellar mass assembly history over the last 8Gyr

We selected a mass-limited sample of 4048 objects from the VIMOS VLT Deep Survey in the redshift interval 0.5<z<1.3. We used the amplitude of the 4000 Balmer break (Dn4000) to separate the galaxy population and the EW[OII]3727 line as proxy for the star formation activity. We discuss to what extent stellar mass drives galaxy evolution, showing for the first time the interplay between stellar ages and stellar masses over the past 8Gyr. Low-mass galaxies have small Dn4000 and at increasing stellar mass, the galaxy distribution moves to higher Dn4000 values as observed in the local Universe. As cosmic time goes by, we witness an increasing abundance of massive spectroscopically ET systems at the expense of the LT systems. This spectral transformation is a process started at early epochs and continuing efficiently down to the local Universe. This is confirmed by the evolution of our type-dependent stellar mass function. The underlying stellar ages of LT galaxies apparently do not show evolution, likely as a result of a continuous formation of new stars. All star formation activity indicators consistently point towards a star formation history peaked in the past for massive galaxies, with little or no residual star formation taking place in the most recent epochs. The activity and efficiency of forming stars are mechanisms that depend on stellar mass, and the mass assembly becomes progressively less efficient in massive systems as time elapses. The concepts of star formation downsizing and mass assembly downsizing describe a single scenario that has a top-down evolutionary pattern. The role of (dry) merging events seems to be only marginal at z<1.3, as our estimated efficiency in stellar mass assembly can possibly account for the progressive accumulation of passively evolving galaxies.Comment: Accepted for pubblication in A&A, 14 pages, 5 figure

Indicators of distress in newly diagnosed breast cancer patients

Background. The diagnosis, treatment, and long-term management of cancer can present individuals with a multitude of stressors at various points in that trajectory. Psychosocial distress may appear early in the diagnostic process and have negative effects on compliance with treatment and subsequent quality of life.Purpose. The aim of the study was to determine early-phase predictors of distress before any medical treatment.Method. Consistent with the goals of the study, 123 newly diagnosed breast cancer patients (20 to 74 years old) completed multiple indicators of knowledge about breast cancer management and treatment, attitudes toward cancer, social support, coping efficacy, and distress.Results. SEM analysis confirmed the hypothesized model. Age was negatively associated with the patient’s knowledge (β = − 0.22), which, in turn, was positively associated with both attitudes toward breast cancer (β = 0.39) and coping self-efficacy (β = 0.36). Self-efficacy was then directly related to psychological distress (β = − 0.68).Conclusions. These findings establish indicators of distress in patients early in the cancer trajectory. From a practical perspective, our results have implications for screening for distress and for the development of early interventions that may be followed by healthcare professionals to reduce psychological distress

The role of coping in the relationship between stressful life events and quality of life in persons with cancer

Objective: Stressful life events (SLEs) impact the quality of life (QOL) of cancer patients. This study investigated the mediation of the relationship between SLEs and QOL (Model 1: Emotional-EQOL and Model 2: Physical/Functional-PFQOL by three types of coping: Action/Planning, Support/Advise-Seeking, and Disengagement/Denial). Design and Main Measures: 662 persons with cancer completed a Stressful Life Events Checklist, the Brief COPE scale, the FACT Emotional, Physical, and Functional Scales, and the Physical Impact Scale of the Sickness Impact Profile. Results: SLEs were positively associated with Action/Planning (Model 1: B = 0.195, 95% CI = [0.089, 0.304]; Model 2: B = 0.192, 95% CI = [0.086, 0.289]) and Disengagement/Denial (Model 1: B = 0.394, 95% CI = [0.281, 0.513]; Model 2: B =.392, 95% CI = [0.285, 0.508]) but not Support/Advice-Seeking; however, only Disengagement/Denial was related to Emotional-QOL (Model 1: B = −0.659, 95% CI = [−0.848, −0.498]) and Physical/Functional-QOL (Model 2: B = −1.460, 95% CI = [−1.856, −1.069]). Thus, only Disengagement/Denial mediated the relationship between SLEs and QOL. Conclusions: The results indicated that SLEs represent a class of events for which there may be only one dominant coping response, disengagement. SLEs may not be controllable or predictable and reduce capacity for active coping with serious illness. However, SLEs may be detected at any point in the cancer trajectory so that supportive services might be provided

Assessment of self-efficacy for caregiving in oncology: Italian validation of the caregiver inventory (CGI-I)

Background: The Caregiver Inventory (CGI), a measure of self-efficacy for caregiving that takes into account aspects of caregiving that are neglected by current measures of caregiving, was translated into Italian and validated. Methods: Ninety-one caregivers from a variety of locations in Italy completed the CGI-Italian (CGI-I) as well as the Hospital Anxiety and Depression Scale (HADS) and the Family Strain Questionnaire - Short Form (FSQ-SF). Results: A confirmatory factor analysis based on the original CGI factor structure resulted in an adequate fit of the CGI-I using standard fit indices. Thus, the original factor structure was validated in the CGI-I: Managing Medical Information (α = 0.87), Caring for Care Recipient (α = 0.68), Caring for Oneself (α = 0.78), and Managing Difficult Interactions/Emotions (α = 0.55). The CGI-I total score was inversely related to anxiety (HADS, r = − 0.35, p = <.05), and depression (HADS, r = − 0.45, p = <.05). In addition, the CGI-I was inversely related to caregiver stress (FSQ-SF, r = − 0.39, p = <.05). Care of Oneself and Managing Difficult Interactions/Emotions emerged as the strongest and most robust negative relationships with anxiety, depression, and caregiver stress, which replicated, with similar constructs, findings from the original CGI. Conclusions: The results of this study established the CGI-I as a reliable and valid measure of self-efficacy for caregiving. This study also confirms the importance of self-care and managing difficult communication in the process of successfully navigating the demands of caregiving and in constructing interventions for caregivers who need support