[Association Between Dietary Knowledge and Food Preferences in Residents Aged 18 and Over in China Based on Latent Class Analysis].

Objective To investigate the food preferences and explore the potential association between dietary knowledge and food preferences in residents aged 18 and over in China,so as to provide a basis for promoting healthy diets.Methods The latent class analysis was carried out with the 2015 cross-sectional data of China health and nutrition survey to categorize the food preferences among 8 783 residents aged 18 and over.Multinomial Logistic regression was adopted to assess the association between and dietary knowledge and food preferences.Results The food preferences of the residents aged 18 and over in China were classified into preference for less vegetable(3.28%),lack of preference(11.20%),diverse preferences(4.19%),and preference for healthy diets(81.33%).The proportion of the adults with dietary knowledge was 36.87%(3 238/8 783).The dietary knowledge varied in the adults with different food preferences(all <0.001).After adjusting for gender,age,urban and rural distribution,education background,and annual household income,for each point increase in the dietary knowledge score,there was an estimated reduction of 22% in the probability of preferring less vegetables(=0.78,95%=0.76-0.80, <0.001),13% in the probability of lacking preference(=0.87,95%=0.86-0.89, <0.001),and 3% in the probability of having diverse preferences(=0.97,95%=0.94-1.00, =0.030).Compared with those lacking dietary knowledge,the individuals with dietary knowledge had a 77% less probability of preferring less vegetables(=0.23,95%=0.16-0.32, <0.001),a 55% less probability of lacking preference(=0.45,95%=0.39-0.53, <0.001),and a 23% less probability of having diverse preferences(=0.77,95%=0.61-0.96, =0.023).Conclusions The residents aged 18 and over in China presented four food preferences,including preference for less vegetables,lack of preference,diverse preferences,and preference for healthy diets,the last of which had the highest proportion.The individuals with lower levels of dietary knowledge have higher probability of preferring unhealthy food.