Mapping and Predicting Patterns of Chinese Adolescents' Food Preferences.

This study aimed to examine the patterns of, as well as the predictors for, Chinese adolescents' food preferences. Using the national data of the China Health and Nutrition Survey (CHNS), we analyzed the data of 697 adolescents in the age range of 12 to 17 years. Latent class analysis revealed four types of food preferences: varied diet (37.09%, n = 254), avoiding vegetables (19.69%, n = 131), low appetite (7.56%, n = 50), and healthy diet (35.66%, n = 222). Major predictors for food preferences included demographic variables (e.g., gender, urban versus rural residence), nutrition knowledge, preference for activities, and social attitudes. Results did not show any significant differences in BMI z-scores among the four latent classes. However, there were significant differences in the number of sleeping hours among the classes.