Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2014 Dec 15:4:7480.
doi: 10.1038/srep07480.

Body mass index and risk of breast cancer: a nonlinear dose-response meta-analysis of prospective studies

Affiliations
Meta-Analysis

Body mass index and risk of breast cancer: a nonlinear dose-response meta-analysis of prospective studies

Xiaoping Xia et al. Sci Rep. .

Abstract

The role of Body Mass Index (BMI) for Breast Cancer (BC) remains to be great interest for a long time. However, the precise effect of nonlinear dose-response for BMI and BC risk is still unclear. We conducted a dose-response meta-analysis to quantitatively assess the effect of BMI on BC risk. Twelve prospective studies with 4,699 cases identified among 426,199 participants and 25 studies of 22,809 cases identified among 1,155,110 participants in premenopausal and postmenopausal groups, respectively, were included in this meta-analysis. Significant non-linear dose-response (P < 0.001) association was identified between BMI and BC risk in postmenopausal women. Individuals with BMI of 25, 30, and 35 kg/m(2) yielded relative risks (RRs) of 1.02 [95% confidence interval (CI): 0.98-1.06], 1.12 (95% CI: 1.01-1.24), and 1.26 (95% CI: 1.07-1.50), respectively, when compared to the mean level of the normal BMI range. However, inverse result though not significant was observed in premenopausal women. In conclusion, the results of this meta-analysis highlighted that obesity contributed to increased BC risk in a nonlinear dose-response manner in postmenopausal women, and it is important to realize that body weight control may be a crucial process to reduce BC susceptibility.

PubMed Disclaimer

Figures

Figure 1
Figure 1. The overall nonlinear dose-response meta-analysis of BMI and BC risk in postmenopausal women.
The BMI contributed to increased BC risk in a nonlinear dose-response manner in postmenopausal women (The reference was 21.75 kg/m2 and the vertical lines indicate 95% confidence intervals).

References

    1. Carmichael A. R. & Bates T. Obesity and breast cancer: a review of the literature. Breast 13, 85–92 (2004). - PubMed
    1. Flegal K. M., Carroll M. D., Ogden C. L. & Curtin L. R. Prevalence and trends in obesity among US adults, 1999–2008. JAMA 303, 235–241 (2010). - PubMed
    1. Wu Y. F. et al. The current prevalence status of body overweight and obesity in China: data from the China National Nutrition and Health Survey. Zhonghua Yu Fang Yi Xue Za Zhi 39, 316–320 (2005). - PubMed
    1. Renehan A. G., Tyson M., Egger M., Heller R. F. & Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet 371, 569–578 (2008). - PubMed
    1. Jemal A. et al. Global cancer statistics. CA Cancer J Clin 61, 69–90 (2011). - PubMed

Publication types