ABSTRACT
Objective:
To determine if specific dietary patterns are associated with breast cancer risk in Chinese women.
Design:
Latent class analysis (LCA) was performed to identify generic dietary patterns based on daily food-frequency data.
Setting:
The Chinese Wuxi Exposure and Breast Cancer Study (2013-2014).
Participants:
A population-based case-control study (695 cases, 804 controls).
Results:
Four dietary patterns were identified, Prudent, Chinese traditional, Western, and Picky, the proportion in the controls and cases were 0.30/0.32/0.16/0.23 and 0.29/0.26/0.11/0.33, respectively. Women in Picky class were characterized by higher extreme probabilities of non-consumption on specific foods, the highest probabilities of consumption of pickled foods, and the lowest probabilities of consumption of cereals, soy foods, and nuts. Compared with Prudent class, Picky class was associated with a higher risk (OR=1.42, 95%CI=1.06, 1.90), while the relevant association was only in post- (OR=1.44, 95%CI=1.01, 2.05) but not premenopausal women. The Western class characterized by high-protein, -fat, and -sugar foods, the Chinese traditional class characterized by typical consumption of soy foods and white meat over red meat, both of them showed no difference in BC risk compared with Prudent class did.
Conclusions:
LCA capture the heterogeneity of individuals embedded in the population, could be a useful approach in the study of dietary pattern and disease. Our results indicated that the Picky class might have a positive association with the risk of breast cancer.
88P Latent class analysis (LCA) to identify and describe clinically relevant subgroups in a multinational study of patients with HR+/HER2- early breast cancer (eBC)
