2011
DOI: 10.1007/s10549-011-1664-2
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Childhood factors associated with mammographic density in adult women

Abstract: Growth and development factors could contribute to the development of breast cancer associated with an increase in mammographic density. This study examines the influence of certain childhood-related, socio-demographic and anthropometric variables on mammographic density in adult woman. The study covered 3574 women aged 45-68 years, participating in breast cancer-screening programmes in seven Spanish cities. Based on a craniocaudal mammogram, blind, anonymous measurement of mammographic density was made by a s… Show more

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Cited by 34 publications
(41 citation statements)
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“…An inverse association between early life adiposity and breast cancer risk is well established (18). Our previous analyses in this population demonstrated an inverse association between youth adiposity and dense breast volume (9), in agreement with several other studies of this association (4651). Given that obesity is known to influence ovarian function (11, 12), body fatness during childhood and adolescence could also decrease breast cancer risk by influencing AMH levels.…”
Section: Discussionsupporting
confidence: 93%
“…An inverse association between early life adiposity and breast cancer risk is well established (18). Our previous analyses in this population demonstrated an inverse association between youth adiposity and dense breast volume (9), in agreement with several other studies of this association (4651). Given that obesity is known to influence ovarian function (11, 12), body fatness during childhood and adolescence could also decrease breast cancer risk by influencing AMH levels.…”
Section: Discussionsupporting
confidence: 93%
“…For example, Aitken et al reported 6–7% higher %MD in women in the highest adult SES category as compared to those in the lowest adult SES category (53). None of the few studies that assessed the association between early life SES and MD in addition to other early life growth data have observed an independent association (23, 24, 29, 30). However, unlike our prospective data on multiple dimensions of SES, these studies used data for a single dimension of SES (29, 30), and from adult participants’ recall of parental SES (23, 24).…”
Section: Discussionmentioning
confidence: 98%
“…In our study, the associations of percentile weight change from ages 1 to 7 years with %MD, but not with non-dense area, remained after adjusting for birthweight, other measures of early life growth and adult BMI. Several studies have shown inverse associations between different indicators of early life growth, including childhood body size, weight and BMI velocities, and different measurement of MD, including qualitative, semi-quantitative and quantitative assessments (2426, 33, 34), while other studies have reported mostly null or nonsignificant results (23, 27, 31, 37, 48, 49). We found no evidence of an association between %MD and birthweight, birth length and gestational age, which is consistent with results of some studies (2325, 31, 48), but differs from results of other studies that have reported positive associations between birthweight and MD (27, 29, 37).…”
Section: Discussionmentioning
confidence: 99%
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“…61,62 Anthropometric factors such as high birth weight and lower prepubertal weight are associated with higher breast density. 63 The data produced shows that breast density information can be used in combination with other risk factors for stratification of breast cancer risk. Barlow et al 27 have shown an improvement in breast cancer risk prediction model with addition of breast density data.…”
Section: Breast Composition and Radiographic Appearancesmentioning
confidence: 99%