The association between appetite and eating behaviors among Chinese female university students.

Background: Young females are at a higher risk of developing unhealthy eating behaviors. This study investigated the relationship between appetitive traits and eating behaviors among female university students.

Methods: The study participants were 520 female university students from a public university in Eastern China. Appetitive traits were assessed using the Chinese version of the Adult Eating Behavior Questionnaire (C-AEBQ). Data on eating behaviors, including food intake frequency, meal regularity, and dieting behavior, were collected using self-administered questionnaires. The body mass index (BMI) was calculated using self-reported data. Pearson's and Spearman's correlations were used to correlate appetitive traits with BMI and eating behaviors. Latent profile analysis (LPA) was used to identify different appetitive patterns, and logistic regression was used to analyze the relationship between different appetitive patterns and eating behaviors.

Results: Two food-approach traits (food enjoyment and emotional over-eating) were positively correlated with BMI, while two food-avoidance traits (slowness in eating and satiety responsiveness) showed negative correlations. Food responsiveness was linked to a higher intake of delivered food, spicy food, and sugar-sweetened beverages, whereas satiety responsiveness was correlated with more frequent meal skipping. The LPA identified four appetitive patterns: food approachers, food approachers with emotional under-eating, food avoiders, and food avoiders with emotional over-eating. Food avoiders had significantly lower BMI than the other groups. Compared to food approachers, food avoiders skipped breakfast more frequently, and food avoiders with emotional over-eating skipped both breakfast and lunch more often. After adjusting for BMI, appetitive patterns showed no significant relationship with dieting behavior.

Conclusion: Among female university students, appetitive patterns correlated with eating behaviors, and students with food-avoidance patterns had a higher risk of meal irregularity. These findings emphasize the importance of implementing trait- and pattern-specific approaches to promote healthy eating behaviors among female university students.