Janette L. Vardy
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Articles (16)
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Background: Cancer survivors often experience a range of symptoms after treatment which can impact their quality of life. Symptoms may cluster or co-occur. We aimed to investigate how symptoms and symptom clusters impact the ability to work among cancer survivors. Methods: We used symptom severity data and ability to work data routinely collected from cancer survivors attending a survivorship clinic after primary treatment with curative intent. We defined symptom clusters using single linkage and a threshold on the rescaled distances of <10. We then conducted a logistic regression to examine how symptoms and symptom clusters were related to the ability to work. Results: We analysed data from 561 cancer survivors, mean age 58 years and 1.5 years post diagnosis, with mixed diagnoses including breast (40.5%), colorectal (32.3%), and haematological cancers (15.3%). Limitations to work ability were reported by 34.9% of participants. Survivors experiencing pain, emotional, and cognitive symptom clusters were 14–17% more likely to report limitations in their ability to work. Older survivors and those with a higher stage disease were more likely to report limitations in their ability to work. Conclusion: A better understanding and management of symptom severity and symptom clusters may help the sizable proportion of cancer survivors experiencing symptoms to participate in work after treatment.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Collaborators (10)
Fiona Crawford-Williams
Flinders University
Patricia Livingston
Associate Dean Research
Deakin University
Alexandre Chan
University of California, Irvine
Frank Baughman
Senior Lecturer
Curtin University
Raymond Chan
Flinders University
Darren Haywood
University of Sydney
Victoria White
Deakin University
Haryana Dhillon
Associate Professor in Psychology
University of Sydney
Nicolas Hart
Queensland University of Technology
Melanie Bell
Professor
University of Arizona
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