Evidence map›Paper›PMID 31222710›Full record

ArticleBreast cancer research and treatment2019

Dietary intake from birth through adolescence in relation to risk of benign breast disease in young women.

Catherine S Berkey, Rulla M Tamimi, Walter C Willett, Bernard Rosner, Martha Hickey, Adetunji T Toriola, A Lindsay Frazier, Graham A Colditz

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Catherine S BerkeyChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA. Catherine.Berkey@channing.harvard.edu.ORCID http://orcid.org/0000-0001-5831-3243
Rulla M TamimiChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Walter C WillettDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Bernard RosnerChanning Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Martha HickeyDepartment of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women's Hospital, Melbourne, VIC, Australia.
Adetunji T ToriolaDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J Siteman Cancer Center, St. Louis, MO, USA.
A Lindsay FrazierDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, USA.
Graham A ColditzWashington University School of Medicine, Alvin J. Siteman Cancer Center, St. Louis, MO, USA.
Brigham and Women's Hospital · USWashington University in St. Louis · USDana-Farber Cancer Institute · USHarvard University · USRoyal Women's Hospital · AU

Funding

DIET, ACTIVITY, AND ADOLESCENT WEIGHT CHANGESR01DK046834 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI COLDITZ, GRAHAM A · 1996 to 1999
–
National Institutes of Health (US) DK046834NIDDK NIH HHS R01 DK046834
6 · The paper itself

Abstract

purposeNutritional factors during different periods in life impact breast cancer risk. Because benign breast disease (BBD) is a well-established risk factor for breast cancer, we investigated childhood nutrition from birth through age 14 year and subsequent BBD.

methodsA prospective cohort study of 9031 females, 9-15 year at baseline, completed questionnaires (including heights, weights) annually from 1996 to 2001, in 2003, 2005, 2007, 2010, 2013 and 2014. In 1996, mothers reported infant feeding practices during their daughters first year of life. Beginning in 1996, participants completed annual food frequency questionnaires. In 2005, participants (18 year +) began reporting whether they had ever been diagnosed with biopsy-confirmed BBD (N = 173 cases). Multivariable logistic regression models estimated associations between childhood nutrition and BBD, adjusted for maternal breast disease and childhood body size factors.

resultsAlthough no infant nutrition factors were associated with biopsy-confirmed BBD, certain adolescent dietary factors were. A multivariable model simultaneously included the most important diet and body size factors from different age periods: higher BBD risk was associated with greater age 10 year consumption of animal (non-dairy, energy-adjusted) fat (OR 2.27, p < .02, top vs. bottom quartiles) and with lower 14 year consumption of nuts/peanut butter (OR 0.60, p = .033, top vs. bottom quartiles).

conclusionGreater intake of animal (non-dairy) fat at 10 year and lower intake of nuts/peanut butter at 14 year were independently associated with higher BBD risk. These dietary factors appeared to operate on BBD risk independent of childhood growth (gestational weight gain, childhood BMI and height, adolescent height growth velocity), young adult height and BMI, and family history.

Indexed as

DietFeeding BehaviorAdolescentAdultAge FactorsBiopsyBreast DiseasesChildChild, PreschoolDisease SusceptibilityFemaleHumansInfantInfant, NewbornOdds RatioPublic Health SurveillanceAdolescent dietAlcoholBenign breast diseaseChildhood dietInfant nutritionPre-malignant

Identifiers

PMID31222710
PMCPMC6661192
OpenAlexW2952132380

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.