Significance: Typically, minority populations are likely to experience health risks due to environment, genetics, and finances, however in a collegiate atmosphere minority students typically have the same food availability as other students. Past research suggests that intuitive eating (eating triggered by physiological hunger and satiety cues) may be related to improved risk factors such as decreased BMI. This study examined the relationship between intuitive eating behavior scores (IES), BMI, overall fat, fruit and vegetable intake, physical activity and selected risk behaviors among minority men and women who were a part of a larger study with a similar purpose. Design: Hard copy and/or web survey responses were received from 77 minority students (17 African American; 16 Hispanic; 3 Hawaiian; 29 Asian and 12 others). This distribution was similar to that of these minorities in the University overall. Data were analyzed with SPSS utilizing Pearson's and Spearman's correlations and T-tests. In the overall minority population (n=77), there were no significant relationships between IES and either fat intake or fruit and vegetable intake. There was a significant negative correlation between IES and BMI (r=-0.26, p=0.03). Also, in the overall sample, there were no significant relationships between IES and most risk behaviors (e.g., riding with driver who has had alcohol, driving after drinking alcohol, and use of cigarettes, smokeless tobacco, marijuana, illicit drug, or condom use). However, there was a significant positive correlation (r=0.28, p=0.01) between IES and frequency of seatbelt use. Men and women also were examined separately. In minority men (n=31), only the correlation between IES and frequency of seatbelt use (r=0.36, p=0.05) achieved significance. In minority women (n=46), there was a significant negative correlation between IES and strength activity (r=-0.40, p=0.006). Also, the negative correlation between IES and BMI approached significance (r=-0.28, p=0.07), as did the correlation between IES and frequency of alcohol use (r=-0.29, p=0.054) in women. Conclusions: Results of this study were mixed with respect to expected relationships between IES, eating behaviors and various risk factors. While the small sample size and grouping of all minorities together may have influenced results, further consideration also should be given to the assessments utilized in addressing these relationships among minorities. By increasing sample sizes, targeting specific minority groups and refining the IES and other assessment tools, these relationships can be better addressed in future research. Keyword(s): exercise/fitness/physical activity, health education college/univ, nutrition