Dietary patterns and breast cancer risk among Chinese women

Cancer Causes Control. 2011 Jan;22(1):115-24. doi: 10.1007/s10552-010-9681-8. Epub 2010 Nov 16.

Abstract

Objective: The present study aimed to examine the relationship between dietary patterns and breast cancer risk among Chinese women.

Methods: Four hundred and thirty-eight cases with histologically confirmed primary breast cancer and 438 controls were consecutively recruited. Cases were frequency matched to controls on 5-year age group and rural-urban residence. A validated food frequency questionnaire was used to assess dietary intake by face-to-face interviews. Dietary patterns were identified by factor analysis. Multivariate odds ratios (OR) and 95% confidence interval (CI) were estimated using unconditional logistic regression adjusted for various potential confounders.

Results: Two diet patterns were identified: vegetable-fruit-soy-milk-poultry-fish pattern and refined grain-meat-pickle pattern. After adjustment for confounders, a 74% decreased risk was observed among women in the highest quartile of the vegetable-fruit-soy-milk-poultry-fish dietary pattern relative to the lowest quartile (OR = 0.26, 95% CI = 0.17-0.42). The refined grain-meat-pickle pattern was positively associated with breast cancer risk (OR = 2.58, 95% CI = 1.53, 4.34). Women with a high intake of the vegetable-fruit-soy-milk-poultry-fish pattern and a low intake of the refined grain-meat-pickle pattern showed a decreased risk of breast cancer (adjusted OR = 0.26, 95% CI = 0.17-0.41).

Conclusions: These results indicated that a diet characterized by a high consumption of vegetable/fruit/soy/milk/poultry/fish and a low consumption of refined grain/red meat/pickle is associated with a lower risk of breast cancer in Chinese women.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Asian People
  • Breast Neoplasms / epidemiology*
  • Case-Control Studies
  • China / epidemiology
  • Diet*
  • Female
  • Humans
  • Middle Aged
  • Risk Factors