Diet-Driven Inflammation and Insulinemia and Risk of Interval Breast Cancer

Zhenzhen Zhang, Fred K. Tabung, Qi Jin, Grace Curran, Veronica L. Irvin, Jackilen Shannon, Ellen M. Velie, Jo Ann E. Manson, Michael S. Simon, Mara Vitolins, Celina I. Valencia, Linda Snetselaar, Sonali Jindal, Pepper Schedin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Interval breast cancers (IBCs) emerge after a non-suspicious mammogram and before the patient’s next scheduled screen. Risk factors associated with IBC have not been identified. This study evaluated if the empirical dietary inflammatory pattern (EDIP) or empirical dietary index for hyperinsulinemia (EDIH) scores are associated with IBC compared to screen-detected breast cancer. Data were from women 50–79 years-old in the Women’s Health Initiative cohort who completed food frequency questionnaires at baseline (1993–98) and were followed through March 31, 2019 for breast cancer detection. Women were identified as having either IBC diagnosed within 1-year after their last negative screening mammogram (N = 317) or screen-detected breast cancer (N = 1,928). Multivariable-adjusted logistic regression analyses were used to estimate odds ratios for risk of IBC compared to screen-detected cancer in dietary index tertiles. No associations were observed between EDIP or EDIH and IBC. Odds ratios comparing the highest to the lowest dietary index tertile were 1.08; 95%CI, 0.78–1.48 for EDIP and 0.92; 95%CI, 0.67–1.27 for EDIH. The null associations persisted when stratified by BMI categories. Findings suggest that diet-driven inflammation or insulinemia may not be substantially associated with IBC risk among postmenopausal women. Future studies are warranted to identify modifiable factors for IBC prevention.

Original languageEnglish (US)
Pages (from-to)3179-3193
Number of pages15
JournalNutrition and Cancer
Issue number9
StatePublished - 2022

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Oncology
  • Nutrition and Dietetics
  • Cancer Research


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