Patterns of change over time and history of the inflammatory potential of diet and risk of breast cancer among postmenopausal women

Fred K Tabung; Susan E Steck; Angela D Liese; Jiajia Zhang; Yunsheng Ma; Karen C Johnson; Dorothy S Lane; Lihong Qi; Linda Snetselaar; Mara Z Vitolins; Judith K Ockene; James R Hebert

doi:10.1007/s10549-016-3925-6

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Patterns of change over time and history of the inflammatory potential of diet and risk of breast cancer among postmenopausal women

Journal article

Peer reviewed

Patterns of change over time and history of the inflammatory potential of diet and risk of breast cancer among postmenopausal women

Fred K Tabung, Susan E Steck, Angela D Liese, Jiajia Zhang, Yunsheng Ma, Karen C Johnson, Dorothy S Lane, Lihong Qi, Linda Snetselaar, Mara Z Vitolins, …

Breast cancer research and treatment, Vol.159(1), pp.139-149

08/2016

DOI: 10.1007/s10549-016-3925-6

PMCID: PMC5609451

PMID: 27475089

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Abstract

We utilized the dietary inflammatory index (DII) to investigate associations between patterns of change in, and history of the inflammatory potential of diet and risk of breast cancer in the Women's Health Initiative (WHI). We included 70,998 postmenopausal women aged 50-79 years recruited from 1993 to 1998 into the WHI Observational Study and Dietary Modification trial control group and followed through August 29, 2014. We utilized data from food frequency questionnaires administered at baseline and Year 3, to calculate average DII scores, patterns of change in DII, and used these measures in multivariable-adjusted Cox regression models to estimate hazards ratios (HR) and 95 % confidence intervals (CI) for incident invasive breast cancer and its subtypes. After 1,093,947 person-years of follow-up, 3471 cases of invasive breast cancer were identified. There was no substantial association between average DII scores or patterns of change in DII and risk of overall invasive breast cancer (HR, 1.03; 95 % CI, 0.90, 1.17; P-trend = 0.79; comparing extreme average DII quintiles). However, there was a significant nonlinear association between average DII scores and the ER-, PR-, HER2+, subtype (HR, 2.37; 95 % CI, 1.08, 5.20; P-trend = 0.18; comparing extreme quintiles). For patterns of change in DII, the age-adjusted association with ER-, PR-, HER2+ subtype comparing women in the proinflammatory stable to those in the anti-inflammatory stable categories (HR, 1.82; 95 % CI, 1.06, 3.13) persisted in the multivariable-adjusted model but was less precise (HR, 1.85; 95 % CI, 0.96, 3.55; P = 0.06). Dietary inflammatory potential may differentially influence the development of specific breast cancer phenotypes.

Inflammation - complications

Humans

Middle Aged

Self Report

Breast Neoplasms - etiology

Postmenopause

Feeding Behavior

Female

Aged

Inflammation - etiology

Breast Neoplasms - epidemiology

Details

Title: Subtitle: Patterns of change over time and history of the inflammatory potential of diet and risk of breast cancer among postmenopausal women
Creators: Fred K Tabung - Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA
Susan E Steck - Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, USA. ssteck@sc.edu
Angela D Liese - Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, USA
Jiajia Zhang
Yunsheng Ma - Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, USA
Karen C Johnson - Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, USA
Dorothy S Lane - Department of Family, Population and Preventive Medicine, Stony Brook University School of Medicine, New York, USA
Lihong Qi - Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, USA
Linda Snetselaar - Department of Epidemiology, The University of Iowa, Iowa City, USA
Mara Z Vitolins - Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, USA
Judith K Ockene - Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, USA
James R Hebert - Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA
Resource Type: Journal article
Publication Details: Breast cancer research and treatment, Vol.159(1), pp.139-149
DOI: 10.1007/s10549-016-3925-6
PMID: 27475089
PMCID: PMC5609451
NLM abbreviation: Breast Cancer Res Treat
ISSN: 1573-7217
eISSN: 1573-7217
Publisher: Springer Science and Business Media LLC; Netherlands
Grant note: HHSN268201100046C / NHLBI NIH HHS HHSN268201100001C / WHI NIH HHS HHSN271201100004C / NIA NIH HHS HHSN268201100002C / WHI NIH HHS HHSN268201100003C / WHI NIH HHS F31 CA177255 / NCI NIH HHS K05 CA136975 / NCI NIH HHS P30 CA086862 / NCI NIH HHS HHSN268201100004C / WHI NIH HHS
Language: English
Date published: 08/2016
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center; Internal Medicine
Record Identifier: 9983995100502771

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