Metabolic Syndrome and Mammographic Density in Premenopausal Chilean Women
Author
dc.contributor.author
Martínez Arroyo, Ángela
Author
dc.contributor.author
Moreno Macías, Hortensia
Author
dc.contributor.author
Pereira Scalabrino, Ana
Author
dc.contributor.author
Garmendia Miguel, María Luisa
Admission date
dc.date.accessioned
2019-05-29T13:57:51Z
Available date
dc.date.available
2019-05-29T13:57:51Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Nutrition and Cancer, Volumen 69, Issue 2, 2017, Pages 254-260
Identifier
dc.identifier.issn
15327914
Identifier
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01635581
Identifier
dc.identifier.other
10.1080/01635581.2017.1263348
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169157
Abstract
dc.description.abstract
Background: Metabolic syndrome (MetS) has been previously associated with an increased risk of
breast cancer in postmenopausal women. Mammographic density (MD) is a marker of breast cancer
risk. There is little evidence of an association between MetS and MD in premenopausal women.
Methods: Through a cross-sectional study, we evaluated 364 premenopausal Chilean women in
which we measured anthropometric, blood pressure, and metabolic markers. MetS and its
components were defined according to the National Cholesterol Education Program Adult
Treatment Plan III criteria. We estimated MD by absolute dense volume (ADV, cm3), nondense
volume (NDV, cm3), and percentage of dense volume (PDV, %). The relationship between MetS and
MD was assessed by linear regression models. Results: After adjusting for sociodemographic and
gyneco-obstetrics variables, nonsignificant association was found between MetS and ADV (log b D
0.10; 95%CI: ¡0.01, 0.21). However, abdominal obesity, high triglycerides, and number of
components of MetS were directly related to higher ADV (P < 0.05). Conclusion: Our results showed
no association between MetS and ADV; nevertheless, abdominal obesity and triglycerides were
related to higher ADV. If MD could be modifiable through nutritional factors, it would open new
perspectives for the prevention of breast cancer through obesity prevention strategies at
population level.