AI Article Synopsis
- Mammographic density (MD) and body mass index (BMI) are inversely related, with unclear impacts on breast cancer risk, prompting a study on skeletal muscle mass index (SMI) as a potential predictor for MD.
- A study of 143,456 women showed that after adjusting for BMI, higher SMI was associated with an increased likelihood of having dense breasts, with odds ratios of 2.65 for premenopausal women and 2.39 for postmenopausal women.
- The findings suggest that SMI may be an important factor influencing MD, potentially due to similar growth patterns in muscle and breast tissue, indicating a need for further research on the connections between these factors and breast cancer risk.
Article Abstract
Mammographic density (MD) of the breast and body mass index (BMI) are inversely associated with each other, but have inconsistent associations with respect to the risk of breast cancer. Skeletal muscle mass index (SMI) has been considered to reflect a relatively accurate fat and muscle percentage in the body. So, we evaluated the relation between SMI and MD. A cross-sectional study was performed in 143,456 women who underwent comprehensive examinations from 2012 to 2016. BMI was adjusted to analyze whether SMI is an independent factor predicting dense breast. After adjustment for confounding factors including BMI, the odds ratios for MD for the dense breasts was between the highest and lowest quartiles of SMI at 2.65 for premenopausal women and at 2.39 for postmenopausal women. SMI was a significant predictor for MD, which could be due to the similar growth mechanism of the skeletal muscle and breast parenchymal tissue. Further studies are needed to understand the causal link between muscularity, MD and breast cancer risk.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373895 | PMC |
| http://dx.doi.org/10.1038/s41598-021-96390-9 | DOI Listing |
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