scholarly journals MON-558 Radioiodine Is Not Associated with Quality of Life Outcomes in Early Stage Thyroid Cancer Survivors, a Matched-Pair Analysis.

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kimberly Chow ◽  
Irene Helenowski ◽  
Sneha Goswami ◽  
Susan Yount ◽  
Cord Sturgeon
Work ◽  
2020 ◽  
Vol 66 (4) ◽  
pp. 901-907
Author(s):  
Sietske J. Tamminga ◽  
Lyanne P. Jansen ◽  
Monique H.W. Frings-Dresen ◽  
Angela G.E.M. de Boer

BACKGROUND: Accumulating evidence suggests that cancer survivors are able to return to work. However, little is known about their work situation 5 years after diagnosis. OBJECTIVE: To explore fluctuations in employment status and its association with quality of life 2, 3, and 5 years after cancer diagnosis of 65 cancer survivors employed at diagnosis. METHODS: In association with a randomised controlled trial (RCT), questionnaires were administrated to eligible cancer survivors at diagnosis, 2, 3, and 5 years thereafter comprising of validated questionnaires related to work (i.e. Work Ability Index (WAI), cancer, and quality of life (QOL) (i.e. SF-36, VAS QOL). The RCT studied a hospital-based work support intervention in female breast and gynaecological cancer survivors who were treated with curative intent and had paid work at diagnosis. Descriptive statistics and longitudinal multi-level analysis were employed. RESULTS: Sixty-five of the 102 eligible cancer survivors participated, who were primarily diagnosed with breast cancer (63%). Two and 5 years after cancer diagnosis respectively 63 (97%) and 48 (81%) participants were employed. Reasons for not being employed after 5 years included receiving unemployment benefits (7%), voluntary unemployment (3%), receiving disability benefits (3%), and early retirement (3%). Longitudinal multi-level analysis showed that employed cancer survivors reported in general statistically significant better quality of life outcomes at 5 years follow-up compared to those not being employed. CONCLUSIONS: We found high employment rates and few fluctuations in employment status. The steepest decline in employment rate occurs after the first two years of diagnosis. Employed participants reported better quality of life outcomes. Survivorship care should therefore focus on the population at risk possibly within the first two years after diagnosis.


2019 ◽  
Vol 58 (6) ◽  
pp. 916-925 ◽  
Author(s):  
Almut Dutz ◽  
Linda Agolli ◽  
Michael Baumann ◽  
Esther G. C. Troost ◽  
Mechthild Krause ◽  
...  

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S63
Author(s):  
Charles E. Matthews ◽  
Cara L. Hanby ◽  
Meghan Baruth ◽  
Cheryl Der Ananian ◽  
Ayumi Shintani ◽  
...  

2015 ◽  
Vol 25 (4) ◽  
pp. 616-621 ◽  
Author(s):  
Anke Smits ◽  
Alberto Lopes ◽  
Nagindra Das ◽  
Ruud Bekkers ◽  
Khadra Galaal

ObjectiveIn this study, we evaluated the effect of body mass index (BMI) on the quality of life of ovarian cancer survivors.MethodsWomen diagnosed with ovarian cancer at the Royal Cornwall Hospital Trust between January 2008 and May 2013 were identified. Ovarian cancer survivors were invited to participate by completing the European Organization for Research and Treatment of Cancer QLQ-C30 (quality of life) questionnaire. Univariate and multiple regression analyses were used to determine associations between BMI and quality-of-life outcomes.ResultsA total of 176 ovarian cancer survivors were invited to participate, of which 133 were eligible for this study. In total, 81 ovarian cancer survivors (60.4%) completed the questionnaire, of which 26 responders (32.1%) were overweight (BMI, 25–29.9 kg/m2) and 27 (33.3%) were obese (BMI, ≥30 kg/m2). Increasing BMI was significantly associated with poorer quality-of-life outcomes in terms of physical functioning and emotional functioning, and this effect persisted for physical functioning after multiple regression analysis.ConclusionsIncreasing BMI is associated with poorer quality-of-life outcomes in terms of physical and emotional functioning in ovarian cancer survivors. Further research is needed to evaluate the association between BMI and quality of life from diagnosis to survivorship to develop novel interventions.


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