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 ORIGINAL ARTICLE
Year : 2014  |  Volume : 51  |  Issue : 4  |  Page : 550-556

Predictors of quality of life in patients with colorectal cancer in Iran


1 MSc, Nursing Education, Qazvin University of Medical Sciences, Qazvin Nursing and Midwifery College, Rasht, Iran
2 PhD, Nursing Education, Social Determinants of Health Research Center, Guilan University of Medical Sciences, Rasht, Iran
3 MSc, Nursing Education, Gastrointestinal and Liver Diseases Research Center, Rasht, Iran
4 MD, Department of Radiation Oncology, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran
5 PhD in Biostatistics, Guilan Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran

Correspondence Address:
Atefeh Ghanbari
PhD, Nursing Education, Social Determinants of Health Research Center, Guilan University of Medical Sciences, Rasht
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-509X.175331

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Background: Colorectal cancer (CRC) is one of the most common invasive cancers and is responsible for physical and psychosocial morbidity. Quality of life (QOL) is an important outcome for these patients. The aim of this study was to determine the predictive factors of QOL in patients with CRC. Materials And Methods: A cross-sectional design was used to assess 110 patients with CRC who referred to Oncology Department of Razi Hospital, Guilan. Data were collected by structured interview with patients and review of medical records. Generic and specific QOL were evaluated by short form-36 and functional assessment of cancer therapy-colorectal, respectively. Generalized linear models identified variables significantly associated with QOL. Results: Out of 110 patients with CRC, 58.2% were men. Mean age of patients was 58.33 ± 12.39 years. Mean of Generic and specific QOL were 70.92 ± 15.56 and 95.72 ± 19.18, respectively. In regression analysis, age, sex, living condition, health insurance, hospitalization frequency, Karnofsky performance status, and co-morbidity were predictors of generic QOL and age, sex, living condition, health insurance, monthly income, family history of CRC, Karnofsky performance status, and co-morbidity were predictors of specific QOL in patients. Conclusion: There are nine socio-demographic and clinical factors that are significant predictors of QOL in patients with CRC which should be considered in treatment and care of patients. The findings of this study should be the target of future research, emphasizing the need for interventional studies that minimize the adverse impact of the disease symptoms on the QOL in patients with CRC.






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