Distress

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Anja Mehnert - One of the best experts on this subject based on the ideXlab platform.

Gabriella Pravettoni - One of the best experts on this subject based on the ideXlab platform.

  • Distress and psychosocial needs in patients accessing a cancer day surgery division implications for clinical decision making
    Frontiers in Psychology, 2016
    Co-Authors: Paola Arnaboldi, Silvia Riva, Valeria Vadilonga, Liliana Tadini, Giorgio Magon, Gabriella Pravettoni
    Abstract:

    Introduction: The Distress Thermometer was built and validated for screening cancer patients for Distress, as suggested by the National Comprehensive Cancer Network. The current work was designed to measure the rates of Distress in a sample of patients being hospitalized in a multidisciplinary outpatient surgery clinic. Objective: To measure the rates of Distress in a sample of patients referring to a multidisciplinary day surgery division in a comprehensive cancer center based in Northern Italy. Methods: A total of 177 patients were asked to fill in the Distress thermometer (DT) before surgery. Results: Out of 177 patients, 154 (87%) patients completed the Distress Thermometer. While 13% of the patients indicated a total absence of Distress, more than half of the sample declared a moderate or high Distress. A total of 55% of patients presented at least three difficulties in the Problem List Checklist. Distress was not correlated with age or other medical and clinical variables. Number of emotional problems was the best predictor of Distress at admission (beta=.655, p=.000). Conclusions: Screening for Distress in a day surgery multidisciplinary oncology division is feasible and a relevant percentage of patients can be identified as clinically Distressed. Outcomes also highlight the impact of age and precise physical and psycho-social signs as prognostic indicators of clinically significant Distress. Measurement of Distress and associated problems list represent the preliminary endpoint toward adequate recommendations that contribute to taking care of Distress in cancer patients in cost-effective clinical setting.

Christina Rosenberger - One of the best experts on this subject based on the ideXlab platform.

Jeffrey S Gonzalez - One of the best experts on this subject based on the ideXlab platform.

  • diabetes burden and diabetes Distress the buffering effect of social support
    Annals of Behavioral Medicine, 2014
    Co-Authors: Rachel N Baek, Molly L Tanenbaum, Jeffrey S Gonzalez
    Abstract:

    BACKGROUND: Few studies have examined protective factors for diabetes Distress. PURPOSE: This study aimed to examine the moderating role of social support in the relationship between the burden of diabetes and diabetes Distress. METHODS: Adults with type 2 diabetes (N = 119; 29 % Latino, 61 % Black, 25 % White) completed validated measures of diabetes Distress and social support. Multiple linear regression evaluated the moderating role of social support in the relationship between diabetes burden, indicated by prescription of insulin and presence of complications, and Distress. RESULTS: Greater support satisfaction was significantly associated with lower Distress after controlling for burden. Support satisfaction and number of supports significantly moderated the relationship between diabetes burden and Distress. Post hoc probing revealed a consistent pattern: Insulin was significantly associated with more diabetes Distress at low levels of support but was not at high levels of support. CONCLUSION: Findings support the stress-buffering hypothesis and suggest that social support may protect against diabetes Distress.

  • diabetes burden and diabetes Distress the buffering effect of social support
    Annals of Behavioral Medicine, 2014
    Co-Authors: Rachel N Baek, Molly L Tanenbaum, Jeffrey S Gonzalez
    Abstract:

    Few studies have examined protective factors for diabetes Distress. This study aimed to examine the moderating role of social support in the relationship between the burden of diabetes and diabetes Distress. Adults with type 2 diabetes (N = 119; 29 % Latino, 61 % Black, 25 % White) completed validated measures of diabetes Distress and social support. Multiple linear regression evaluated the moderating role of social support in the relationship between diabetes burden, indicated by prescription of insulin and presence of complications, and Distress. Greater support satisfaction was significantly associated with lower Distress after controlling for burden. Support satisfaction and number of supports significantly moderated the relationship between diabetes burden and Distress. Post hoc probing revealed a consistent pattern: Insulin was significantly associated with more diabetes Distress at low levels of support but was not at high levels of support. Findings support the stress-buffering hypothesis and suggest that social support may protect against diabetes Distress.

Frank Schulzkindermann - One of the best experts on this subject based on the ideXlab platform.