Tomi F Akinyemiju1, Parisa Tehranifar2, Julie D Flom3, Yuyan Liao3, Ying Wei4, Mary Beth Terry5. 1. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham. 2. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY. 3. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY. 4. Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY. 5. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY. Electronic address: mt146@columbia.edu.
Abstract
PURPOSE: Rapid infant and childhood growth has been associated with chronic disease later in life, including breast cancer. Early life socioeconomic status (SES) influences childhood growth, but few studies have prospective measures from birth to consider the effects of early life growth and SES on breast cancer risk. METHODS: We used prospectively measured early life SES and growth (percentile weight change in height and weight between each pair of consecutive time points at birth, 4 months, 1 and 7 years). We performed linear regression models to obtain standardized estimates of the association between 1 standard deviation increase in early life SES and growth and adult mammographic density (MD), a strong risk factor for breast cancer, in a diverse birth cohort (n = 151; 37% white, 38% black, 25% Puerto Rican; average age at mammogram = 42.4). RESULTS: In models adjusted for race/ethnicity, prenatal factors, birthweight, infant and childhood growth, and adult body mass index, percentile weight change from 1 year to 7 years was inversely associated with percent MD (standardized coefficient (Stdβ) = -0.28, 95% CI: -0.55 to -0.01), and higher early life SES was positively associated with percent MD (Stdβ = 0.24, 95% CI: 0.04-0.43). Similar associations were observed for dense area, but those estimates were not statistically significant. CONCLUSIONS: These results suggest opposite and independent effects of early life SES and growth on MD.
PURPOSE: Rapid infant and childhood growth has been associated with chronic disease later in life, including breast cancer. Early life socioeconomic status (SES) influences childhood growth, but few studies have prospective measures from birth to consider the effects of early life growth and SES on breast cancer risk. METHODS: We used prospectively measured early life SES and growth (percentile weight change in height and weight between each pair of consecutive time points at birth, 4 months, 1 and 7 years). We performed linear regression models to obtain standardized estimates of the association between 1 standard deviation increase in early life SES and growth and adult mammographic density (MD), a strong risk factor for breast cancer, in a diverse birth cohort (n = 151; 37% white, 38% black, 25% Puerto Rican; average age at mammogram = 42.4). RESULTS: In models adjusted for race/ethnicity, prenatal factors, birthweight, infant and childhood growth, and adult body mass index, percentile weight change from 1 year to 7 years was inversely associated with percent MD (standardized coefficient (Stdβ) = -0.28, 95% CI: -0.55 to -0.01), and higher early life SES was positively associated with percent MD (Stdβ = 0.24, 95% CI: 0.04-0.43). Similar associations were observed for dense area, but those estimates were not statistically significant. CONCLUSIONS: These results suggest opposite and independent effects of early life SES and growth on MD.
Authors: Tomi Akinyemiju; Kemi Ogunsina; Michelle Okwali; Swati Sakhuja; Dejana Braithwaite Journal: Int J Cancer Date: 2016-11-18 Impact factor: 7.396
Authors: Alexandra M Binder; Camila Corvalan; Ana Pereira; Antonia M Calafat; Xiaoyun Ye; John Shepherd; Karin B Michels Journal: Cancer Epidemiol Biomarkers Prev Date: 2018-08-29 Impact factor: 4.254
Authors: Mary Beth Terry; Barbara A Cohn; Mandy Goldberg; Julie D Flom; Ying Wei; Lauren C Houghton; Parisa Tehranifar; Jasmine A McDonald; Angeline Protacio; Piera Cirillo; Karin B Michels Journal: Am J Epidemiol Date: 2019-02-01 Impact factor: 4.897
Authors: Parisa Tehranifar; Barbara A Cohn; Julie D Flom; Angeline Protacio; Piera Cirillo; L H Lumey; Karin B Michels; Mary Beth Terry Journal: BMC Cancer Date: 2017-01-10 Impact factor: 4.430