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.

Emotional Distress Symptoms, Coping Efficacy, and Social Support: A Network Analysis of Distress and Resources in Persons With Cancer / Chirico, Andrea; Palombi, Tommaso; Alivernini, Fabio; Lucidi, Fabio; Merluzzi, Thomas V. - In: ANNALS OF BEHAVIORAL MEDICINE. - ISSN 0883-6612. - (2024). [10.1093/abm/kaae025]

Emotional Distress Symptoms, Coping Efficacy, and Social Support: A Network Analysis of Distress and Resources in Persons With Cancer

Chirico, Andrea;Palombi, Tommaso;Alivernini, Fabio;Lucidi, Fabio;
2024

Abstract

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.
2024
Anxiety; Cancer; Depression; Emotional distress; Network analysis; Social support
01 Pubblicazione su rivista::01a Articolo in rivista
Emotional Distress Symptoms, Coping Efficacy, and Social Support: A Network Analysis of Distress and Resources in Persons With Cancer / Chirico, Andrea; Palombi, Tommaso; Alivernini, Fabio; Lucidi, Fabio; Merluzzi, Thomas V. - In: ANNALS OF BEHAVIORAL MEDICINE. - ISSN 0883-6612. - (2024). [10.1093/abm/kaae025]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1716025
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