RESUMO
BACKGROUND: The study's main aim was to analyze the structure and configuration of distress symptoms and resource factors. PURPOSE: Common methods of assessing distress symptoms in cancer patients (i) do not capture the configuration of individual distress symptoms and (ii) do not take into account resource factors (e.g., social support, coping, caring health professionals). Network analysis focuses on the configuration and relationships among symptoms that can result in tailored interventions for distress. Network analysis was used to derive a symptom-level view of distress and resource factors. METHODS: Nine hundred and ninety-two cancer patients (mixed diagnoses) completed an abridged Distress Screening Schedule that included 24 items describing symptoms related to distress (depression, anxiety) and resource factors (social support, coping, caring health professionals). RESULTS: In network analysis, the centrality strength index (CSI) is the degree to which an item is connected to all other items, thus constituting an important focal point in the network. A depression symptom had the highest CSI value: felt lonely/isolated (CSI = 1.30). In addition, resource factors related to coping efficacy (CSI = 1.20), actively seeking support (CSI = 1.10), perceiving one's doctor as caring (CSI = 1.10), and receiving social support (CSI = 1.10) also all had very high CSI scores. CONCLUSIONS AND IMPLICATIONS: These results emphasize the integral importance of the social symptoms of loneliness/isolation in distress. Thus, distress symptoms (loneliness) and resource factors (coping efficacy, seeking social support, and perceiving medical professionals as caring) should be integral aspects of distress management and incorporated into assessment tools and interventions to reduce distress.
Many persons with cancer experience emotional distress (i.e., depression and anxiety). Traditional methods of assessing distress do not capture the complex organization of individual symptoms of depression/anxiety or their relationship with specific personal resources such as seeking support and coping strategies. This study used network analysis to represent the structural configuration of individual distress symptoms and specific resources (agentic coping, seeking support, receiving support, satisfaction with medical care) and relationships between them. Participants were 992 persons with cancer who completed an inventory assessing distress and personal resources. The network configuration showed that loneliness and social isolation were most central to the network of distress symptoms, suggesting that these feelings are the most significant aspects of distress for persons with cancer. Importantly, agentic coping, seeking support, perceiving one's doctor as caring, and receiving social support were also highly central in the network. The results highlight the significance of the social symptoms of distress, namely loneliness and isolation, as well as the central importance of resource factors such as coping efficacy, seeking social support, and perceiving medical professionals as caring. These distress symptoms and resources can be incorporated into assessment tools and interventions to alleviate distress among persons with cancer.