Burden of postmenopausal breast cancer attributable to excess body weight: comparative study of body mass index and CUN-BAE in MCC-Spain study
2024

Impact of Body Fat on Postmenopausal Breast Cancer Risk

Sample size: 2176 publication Evidence: moderate

Author Information

Author(s): Cubelos-Fernández Naiara, Dávila-Batista Verónica, Fernández-Villa Tania, Castaño-Vinyals Gemma, Perez-Gomez Beatriz, Amiano Pilar, Ardanaz Eva, Delgado Sillero Irene, Llorca Javier, Tardón Guillermo Fernández, Alguacil Juan, Vanaclocha Espí Mercedes, Marcos-Gragera Rafael, Moreno Víctor, Aragones Nuria, Dorronsoro Ane, Guevara Marcela, Reguero Celada Sofía, Pollan Marina, Kogevinas Manolis, Martín Vicente, Gough Linda

Primary Institution: University of León Institute of Biomedicine

Hypothesis

The study aims to compare the burden of postmenopausal breast cancer attributable to excess body fat calculated using BMI and CUN-BAE.

Conclusion

The study suggests that the significance of excess body fat in postmenopausal hormone receptor positive breast cancer could be underestimated when assessed using only BMI.

Supporting Evidence

  • 10% of postmenopausal breast cancer cases are attributed to a high body mass index (BMI).
  • Excess body weight attributable to breast cancer risk was 23.0% for BMI and 38.0% for CUN-BAE.
  • Hormone receptor stratification showed differences in population attributable fractions (PAFs) for BMI and CUN-BAE.
  • The study highlights the importance of using accurate measures of body fat for estimating cancer burden.

Takeaway

Being overweight can make breast cancer more likely for older women, and using a better way to measure body fat shows an even bigger risk than just using weight.

Methodology

This case-control study included 1033 breast cancer cases and 1143 postmenopausal controls, using logistic regression models to calculate odds ratios and population attributable fractions.

Potential Biases

Self-reported BMI for controls and cases may introduce reporting bias.

Limitations

The study's case-control design limits causal inference, and the sample size for non-hormone receptor expressing cases was small.

Participant Demographics

The study included postmenopausal white women.

Statistical Information

Confidence Interval

95% CI 12.2% to 31.4% for BMI; 95% CI 23.1% to 49.6% for CUN-BAE

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1136/jech-2023-220706

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