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Original Article

Metabolic syndrome and the risk of breast cancer among postmenopausal women in north-west China

, , , , , , , , & show all
Pages 852-858 | Received 14 Apr 2015, Accepted 07 Jul 2015, Published online: 27 Oct 2015
 

ABSTRACT

Objective To determine whether metabolic syndrome (MetS) and its components are risk factors for breast cancer among postmenopausal women in China.

Methods Based on the baseline data of the Jinchang Cohort, a case–control study was carried out among postmenopausal women, including 43 cases and 86 controls. Both MetS and its components were evaluated. Odds ratios and 95% confidence intervals (CI) for the association were estimated by conditional logistic regression analysis.

Results The odds ratio of postmenopausal breast cancer was 3.505 (95% CI 1.282–9.583) for MetS, 3.016 (95% CI 1.044–8.715) for body mass index (BMI) ≥ 25 kg/m2, and 3.191 (95% CI 1.253–8.125) for dyslipidemia. There was no significant association between postmenopausal breast cancer and hypertension as well as diabetes. Women with four metabolic factors showed greater risk for postmenopausal breast cancer (ptrend < 0.05). Dyslipidemia and BMI ≥ 25 kg/m2 showed most significant interaction on breast cancer (odds ratio = 11.359; 95% CI 2.663–48.450). With BMI ≥ 25 kg/m2, the interaction of dyslipidemia and other metabolic factors on breast cancer was higher than that without BMI ≥ 25 kg/m2.

Conclusion This case–control study suggested that MetS was associated with an elevated risk of breast cancer among postmenopausal women in north-west China. Overweight and dyslipidemia had the strongest adverse effects on postmenopausal breast cancer.

ACKNOWLEDGEMENTS

We would like to thank the graduate students of the Lanzhou University School of Public Health and doctors at the Jinchuan Worker’s Hospital for their collaboration in the Jinchang Cohort.

Conflict of interest The authors declare they have no competing financial interests. The authors alone are responsible for the content and writing of this paper.

Source of funding The study was supported by the Fundamental Research Funds for the Central Universities (lzujbky-2014-154).

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