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Distinct Stress Profiles Among Oncology Patients Undergoing Chemotherapy
Dale J Langford1, Bruce Cooper2, Steven Paul2
1Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA.
Journal of Pain and Symptom Management
|November 13, 2019
Summary
Cancer patients show varied stress responses. This study identified three patient subgroups: "Normative," "Stressed," and "Resilient," aiding targeted psychosocial interventions for better adaptation.
Area of Science:
- Oncology
- Psychosocial Oncology
- Patient-Centered Care
Background:
- Cancer treatment is a significant stressor impacting patient outcomes.
- Patient responses to stress during cancer treatment vary considerably.
- A multidimensional approach is crucial for understanding patient stress variability.
Purpose of the Study:
- To identify and characterize patient subgroups with distinct multidimensional stress profiles during cancer treatment.
- To analyze stress appraisal, exposure, and adaptation in cancer patients.
- To understand the heterogeneity of patient stress experiences.
Main Methods:
- Latent profile analysis of 957 patients undergoing chemotherapy.
- Evaluation of global and cancer-specific stress, lifetime stress exposure, and resilience.
- Utilized Perceived Stress Scale, Impact of Events Scale-Revised, Life Stressor Checklist-Revised, and Connor-Davidson Resilience Scale-10.
Main Results:
- Identified three subgroups: "Normative" (54.3%), "Stressed" (39.9%), and "Resilient" (5.7%).
- The "Stressed" group exhibited higher global/cancer-specific stress and lower resilience, associated with younger age, lower SES, and poorer functional status.
- The "Resilient" group showed high resilience, with distinct demographic and clinical characteristics compared to the "Stressed" group.
Conclusions:
- A subset of cancer patients requires intensive psychosocial intervention for stress reduction and improved adaptation.
- Understanding patient subgroups, particularly the "Resilient" profile, can inform tailored intervention strategies.
- Further research into resilient patient characteristics may optimize supportive care in oncology.
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