Iron intake with the risk of breast cancer among Chinese women: a case-control study

Public Health Nutr. 2021 Dec;24(17):5743-5755. doi: 10.1017/S1368980021000471. Epub 2021 Feb 23.

Abstract

Objective: The current study evaluated the associations between different forms and sources of Fe and breast cancer risk in Southern Chinese women.

Design: Case-control study. We collected data on the consumption of Fe from different forms and food sources by using a validated FFQ. Multivariable logistic regression and restricted cubic spline (RCS) analysis was used to reveal potential associations between Fe intake and breast cancer risk.

Setting: A case-control study of women at three major hospitals in Guangzhou, China.

Participants: From June 2007 to March 2019, 1591 breast cancer cases and 1622 age-matched controls were recruited.

Results: In quartile analyses, Fe from plants and Fe from white meat intake were inversely associated with breast cancer risk, with OR of 0·65 (95 % CI 0·47, 0·89, Ptrend = 0·006) and 0·76 (95 % CI 0·61, 0·96, Ptrend = 0·014), respectively, comparing the highest with the lowest quartile. No associations were observed between total dietary Fe, heme or non-heme Fe, Fe from meat or red meat and breast cancer risk. RCS analysis demonstrated J-shaped associations between total dietary Fe, non-heme Fe and breast cancer, and reverse L-shaped associations between heme Fe, Fe from meat and Fe from red meat and breast cancer.

Conclusion: Fe from plants and white meat were inversely associated with breast cancer risk. Significant non-linear J-shaped associations were found between total dietary Fe, non-heme Fe and breast cancer risk, and reverse L-shaped associations were found between heme Fe, Fe from meat or red meat and breast cancer risk.

Keywords: Breast cancer; Heme iron; Iron; Iron from plants; Non-heme iron.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms* / epidemiology
  • Breast Neoplasms* / etiology
  • Case-Control Studies
  • Female
  • Humans
  • Iron
  • Iron, Dietary
  • Logistic Models
  • Meat
  • Risk Factors

Substances

  • Iron, Dietary
  • Iron