Mary Wells1, Samantha Swartzman2, Heidi Lang3, Margaret Cunningham4, Lesley Taylor5, Jane Thomson6,7, Julie Philp8, Colin McCowan9. 1. NMAHP Research Unit, Scion House, University of Stirling, Stirling, FK9 4HN, UK. mary.wells@stir.ac.uk. 2. School of Psychology, University of Dundee, Scrymgeour Building, Park Place, Dundee, DD1 4HN, UK. 3. School of Nursing and Midwifery, University of Dundee, 11 Airlie Place, Dundee, DD1 4HJ, UK. 4. NMAHP Research Unit, Scion House, University of Stirling, Stirling, FK9 4HN, UK. 5. Radiotherapy and Oncology, Ninewells Hospital, NHS Tayside, Dundee, DD1 9SY, UK. 6. NHS Forth Valley, Larbert, FK5 4WR, Scotland. 7. Medicine and Surgery, King Abdulaziz Medical City, PO BOc 9515, Jeddah, Saudi Arabia. 8. NHS Fife, Queen Margaret Hospital, Dunfermline, KY12 OSU, UK. 9. Robertson Centre for Biostatistics, University of Glasgow Boyd Orr Building, Level 11, Glasgow, G12 8QQ, UK.
Abstract
PURPOSE: This study aimed to assess quality of life (QoL) in head and neck cancer (HNC) survivors and determine factors predictive of poor QoL in the first 5 years after the end of treatment. METHODS: A cross-sectional survey, including the Quality of Life in Adult Cancer Survivors (QLACS) measure, was sent to HNC survivors in three Scottish health regions, with responses linked to routinely collected clinical data. Independent sample t tests, ANOVAs, Pearson correlations and multiple hierarchical regressions were used to explore associations between and to determine the contribution made by demographic, lifestyle and clinical factors to predicting 'generic' and 'cancer-specific' quality of life. RESULTS: Two hundred eighty patients (65 %) returned questionnaires. After adjustment, multivariate analysis showed that younger age, lower socio-economic status, unemployment and self-reported comorbidity independently contributed to poorer generic and cancer-specific quality of life. In addition to these factors, having had a feeding tube or a diagnosis of oral cavity cancer were independently predictive of poorer cancer-specific quality of life. CONCLUSIONS: Socio-economic factors and comorbidity are important predictors of QoL in HNC survivors. These factors and the detrimental long-term effects of feeding tubes need further attention in research and practice.
PURPOSE: This study aimed to assess quality of life (QoL) in head and neck cancer (HNC) survivors and determine factors predictive of poor QoL in the first 5 years after the end of treatment. METHODS: A cross-sectional survey, including the Quality of Life in Adult Cancer Survivors (QLACS) measure, was sent to HNC survivors in three Scottish health regions, with responses linked to routinely collected clinical data. Independent sample t tests, ANOVAs, Pearson correlations and multiple hierarchical regressions were used to explore associations between and to determine the contribution made by demographic, lifestyle and clinical factors to predicting 'generic' and 'cancer-specific' quality of life. RESULTS: Two hundred eighty patients (65 %) returned questionnaires. After adjustment, multivariate analysis showed that younger age, lower socio-economic status, unemployment and self-reported comorbidity independently contributed to poorer generic and cancer-specific quality of life. In addition to these factors, having had a feeding tube or a diagnosis of oral cavity cancer were independently predictive of poorer cancer-specific quality of life. CONCLUSIONS: Socio-economic factors and comorbidity are important predictors of QoL in HNC survivors. These factors and the detrimental long-term effects of feeding tubes need further attention in research and practice.
Entities:
Keywords:
Feeding tube; Head and neck cancer; Quality of life; Socio-economic status; Survivors
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