Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
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Health-related Quality of Life among Breast Cancer Patients and its Influencing Factor in a Chinese Population

  • Shen, Fang-Rong (Department of Obstetrics and Gynecology, Suzhou Kowloon Hospital, the First Affiliated Hospital of Soochow University) ;
  • Liu, Ming (Department of Obstetrics and Gynecology, Suzhou Kowloon Hospital, the First Affiliated Hospital of Soochow University) ;
  • Zhang, Xia (Department of Obstetrics and Gynecology, Suzhou Kowloon Hospital, the First Affiliated Hospital of Soochow University) ;
  • Feng, Ya-Hong (Department of Obstetrics and Gynecology, Suzhou Kowloon Hospital, the First Affiliated Hospital of Soochow University) ;
  • Zhou, Long-Shu (The Second Affiliated Hospital of Guangzhou Medical University) ;
  • Chen, You-Guo (Department of Obstetrics and Gynecology, the First Affiliated Hospital of Soochow University)
  • Published : 2012.08.31
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Abstract

Aim: The aim of this study was to investigate the quality of life (QOL) of breast cancer patients by using the Functional Assessment of Cancer Therapy-Breast (FACT-B) questionnaires. Methods: A total of 522 adult patients who were admitted to our hospital with breast cancer were collected during the period of Jun. 2007 to Dec. 2009. Results: Our FACT-B questionnaire study suggested that women below 50 years old, employed, higher education and annual income, lower TNM stage and receiving modified radical mastectomy manifested significantly better QOL using the assessment tool of the FACT-B subscale. Moreover, regression analysis indicated patients with young age, low stage cancer, high education and income were more likely to have high score of QOL, with ORs (95% CI) of 2.8 (1.52-4.56), 2.1 (1.15-3.95), 3.1 (1.45-5.12) and 3.54 (1.54-5.43), respectively. Conclusions: Our study showed younger age, lower stage of cancer, higher education and income could influence the QOL of breast cancer patients in our Chinese population. Further large sample studies are still needed for confirmation.

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References

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