Energy Intake and Dietary Patterns in Childhood and Throughout Adulthood and Mammographic Density: Results from a British Prospective Cohort
Overview
Public Health
Affiliations
Objectives: To examine the role of energy intake and dietary patterns in childhood and throughout adulthood on subsequent mammographic density.
Methods: Prospective data were available from a cohort of 1161 British women followed up since their birth in 1946. Dietary intakes at age 4 years were determined by 24-hour recalls and during adulthood, average food consumed at ages 36 and 43 years by 5-day food records. Dietary patterns were determined by factor analysis. Associations between energy intake, dietary patterns, and percent breast density were investigated using regression analysis.
Results: During adulthood, energy intake was positively associated with percent breast density (adjusted regression coefficient [per SD) (95% CI): 0.12 (0.01, 0.23)]. The effect of the high fat and sugar dietary pattern remained similar when adjusted for total energy intake [0.06 (-0.01, 0.13)]. There was no evidence of an associations for the patterns low fat, high fiber pattern 0.03 (-0.04, 0.11); the alcohol and fish -0.02 (-0.13, 0.17); meat, potatoes, and vegetables -0.03 (-0.10, 0.04). No association was found for dietary pattern at age 4 and percent breast density.
Conclusions: This study supports the hypothesis that overall energy intake during middle life is a determinant of subsequent mammographic breast density measured 15 years later.
Social Media Interventions for Nutrition Education Among Adolescents: Scoping Review.
Kulandaivelu Y, Hamilton J, Banerjee A, Gruzd A, Patel B, Stinson J JMIR Pediatr Parent. 2023; 6:e36132.
PMID: 37471119 PMC: 10401194. DOI: 10.2196/36132.
Pastore E, Caini S, Bendinelli B, Palli D, Ermini I, De Bonfioli Cavalcabo N Nutrients. 2022; 14(24).
PMID: 36558470 PMC: 9781545. DOI: 10.3390/nu14245312.
The epidemiologic factors associated with breast density: A review.
Ye D, Yu T J Res Med Sci. 2022; 27:53.
PMID: 36092490 PMC: 9450246. DOI: 10.4103/jrms.jrms_962_21.
Yoon L, Corvalan C, Pereira A, Shepherd J, Michels K Breast Cancer Res. 2022; 24(1):3.
PMID: 34998441 PMC: 8742361. DOI: 10.1186/s13058-021-01495-8.
Can the epigenome contribute to risk stratification for cancer onset?.
Lelievre S NAR Cancer. 2021; 3(4):zcab043.
PMID: 34734185 PMC: 8559165. DOI: 10.1093/narcan/zcab043.