Eating habits are formed during the adolescent years and information gained during this time will further the athletic individuals ability to make informed choices throughout their lives. Participating in sports serves as a catalyst for learning about proper nutrition. However, most research studying the nutrition habits of teenage athletes indicates they are neither aware of nor prepared for the dual demands of sound nutrition practices and the demands of the sports. PURPOSE: TO evaluate the effectiveness of an original SNIP on improving nutrition knowledge and nutrition behavior. METHODS: Student-athletes from two high school track programs completed pre- and post-season assessment evaluations for body composition, dietary recall, and nutrition knowledge using the Georgia Tech University sports nutrition survey. This validated survey consists of statements that the students determine as true or false and is graded as number correct out of 11. School 1 (SCH1) (n = 43, HT 172.1 ± 8.4cm, WT 63.6 ± 10.7kg, AGE 16.5 ± 1.1yrs, BFAT 14.2 ± 6.2%, mean +s.d.) received the SNIP and School 2 (SCH2) (n = 19, HT 175.8 ± 7.2cm, WT 66.2 ± 11.9kg, AGE 16.3 ± 1.0yrs, BFAT 15.3 ± 5.7%) served as the control. The SNIP consisted of 5, 45 minute sessions of hands on student oriented small groups presented once a week for 5 weeks during the track season. The SNIP sessions had sports nutrition themes (hydration, supplements, carbohydrates, body image and protein), which students indicated they were interested in. RESULTS: There were no significant differences between SCH1 and SCH2 on HT, WT, AGE, %BFAT and pre-season nutrition survey scores (SCH1: n = 44, 8.30 ± 1.8; SCH2: n = 17, 8.24 ± 1.8). The post-season assessment measurements on HT, WT, AGE and %BFAT also indicated there was no difference between the groups (post-season: SCH1 n = 43, HT = 171.6 cm + 9.3, WT = 63.3 kg + 11.1, AGE = 16.7 yrs +1.0, %BFAT = 14.3 + 6.5; SCH2 n = 19, HT = 175.1 cm + 9.4, WT = 66.4 kg + 12.4, AGE = 16.6 yrs +1.0, %BFAT = 14.1+ 5.3). Analysis of covariance using the pre-season nutrition survey score as the covariate of school in a model for the post-season nutrition survey score showed that the schools were significantly different (p < 0.016; F(1,60) = 6.22). Post-season nutrition survey scores increased in SCH1, where the SNIP took place, and decreased in SCH2, where there was no intervention (post-season: SCH1 n = 44, 8.4 + 1.4; SCH2 n = 17, 7.5 + 1.4). CONCLUSIONS: These results indicate that a SNIP in which the students identify the material to be presented, discuss the topic relevant to their sport and present the material to the group, has the ability to affect a change in nutrition knowledge, which is the first step in preventing sport injuries and eating disorders within the adolescent population