Association between dietary patterns and risk of breast cancer in Chinese female population: a latent class analysis

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.

Association Between Dietary Patterns and Plasma Lipid Biomarker and Female Breast Cancer Risk: Comparison of Latent Class Analysis (LCA) and Factor Analysis (FA)

“…The dietary patterns derived from LCA were described in our previous studies ( 33 ). As described briefly below, latent class models were fitted for two to six classes, and the four classes were chosen.…”

“…What deserves attention is the Picky -class, which is similar to the “ Salty -pattern” in a previous study ( 53 ), women in the Picky -class were characterized by higher extreme probabilities of non-consumption on specific foods, the highest probabilities in consumption of pickled foods, and the lowest probabilities in consumption of cereals, soy foods, and nuts. The risk of the Picky -class may come from an imbalance diet that could lead to the loss of certain vital nutrients and a high consumption of pickled foods that are prone to inflammation ( 33 ).…”

“…The details please refer to our previous study ( 33 ). The dietary classes derived from LCA adjusted the energy intake of each subject and were interpreted and named according to the conditional probabilities of food group intake, using controls only.…”

The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women

“…Diet acknowledgedly p lays an important role in the development of insulin resistance, in particular glucose serum levels 29 , 30 , and the potential contributions of diet to body composition, inflammation, VAI, and TyG index have also been reported 11 , 21 , 31 , 32 . A study among medical university students in China that examined the impact of different dietary pattern on body composition showed that the Western pattern influenced FMI/FFMI ratio positively, while the "vegetable and fruit" pattern influenced FMI/FFMI ratio negatively 33 .…”