Cancer Causes & Control

, Volume 21, Issue 4, pp 621–629 | Cite as

Weight change patterns among breast cancer survivors: results from the Shanghai breast cancer survival study

  • Kai Gu
  • Xiaoli Chen
  • Ying Zheng
  • Zhi Chen
  • Wei Zheng
  • Wei Lu
  • Xiao Ou ShuEmail author
Original paper


In a population-based cohort study of 5,014 women with stage 0–III breast cancer, we evaluated weight change patterns from diagnosis to 6, 18, and 36 months post-diagnosis. Patients were recruited to the study approximately 6 months after cancer diagnosis between 2002 and 2006 and followed through 36 months post-diagnosis. The medians of weight change from diagnosis to 6, 18, and 36 months post-diagnosis were 1.0, 2.0, and 1.0 kg, respectively. Approximately, 26% of survivors gained ≥5% of their at-diagnosis body weight during the first 6 months after diagnosis, while 37% and 33% of women gained the same percentage of weight at 18 and 36 months post-diagnosis. More weight gain was observed among women who had a more advanced disease stage, were younger, had lower body mass index at diagnosis, were premenopausal, or received chemotherapy or radiotherapy during the first 6 months after cancer diagnosis. Multivariate analyses indicated that age at diagnosis, body size, comorbidity, and disease stage independently predicted weight gain from diagnosis to 36 months post-diagnosis. In summary, weight gain is common over the first 3 years after breast cancer diagnosis among Chinese women. More research is needed to investigate measures to prevent weight gain in breast cancer survivors.


Weight change pattern Breast cancer Survivor Chinese population 



The content of the information does not necessarily reflect the position or the policy of the US Government, and no official endorsement should be inferred. The authors thank Dr. Fan Jin for her support in study implementation and the participants and staff members of the SBCSS for making this study possible. The authors also thank Drs. Hui Cai and Wanqing Wen for their assistance in statistical analysis and Ms. Bethanie Hull for her assistance in manuscript preparation.

Financial support

This study was supported by grants from the Department of Defense Breast Cancer Research Program (DAMD 17-02-1-0607) and the National Cancer Institute (R01 CA118229).


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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Kai Gu
    • 1
  • Xiaoli Chen
    • 2
  • Ying Zheng
    • 1
  • Zhi Chen
    • 2
  • Wei Zheng
    • 2
  • Wei Lu
    • 1
  • Xiao Ou Shu
    • 2
    Email author
  1. 1.Shanghai Institute of Preventive MedicineShanghaiChina
  2. 2.Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer CenterVanderbilt University Medical CenterNashvilleUSA

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