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Subjects. Experimental Control Total Total Subjects 22 17 39 Gender Males 8 7 24 Females 14 10 15. Subjects. Experimental Control Total Class Level Freshmen 5 9 14 Sophomore 5 1 6
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Subjects Experimental Control Total Total Subjects 22 17 39 Gender Males 8 7 24 Females 14 10 15
Subjects ExperimentalControlTotal Class Level Freshmen 5 9 14 Sophomore 5 1 6 Junior 6 4 10 Senior 6 3 9
Subjects Experimental Control Total Ethnic Background Caucasian 0 0 0 African-American 15 13 28 “Other” 7 4 11
Results Mean Test Scores Group Pre-Test Post-Test Experimental 5.73±3.34* 14.45±4.8** Control 8.18±3.82 7.82±4.6***
Results 27 Experimental 24 Control 21 18 15 14.5 Mean Correct Responses 12 9 8.2 7.8 6 5.7 3 0 Pre-Test Post-Test
Gender Results 27 Experimental 24 Control 21 $+ 18 16.0* 15 Mean correct responses + 11.75* 12 8.9 7.14 7.85 7.8 9 6.13 5.5 6 3 0 Male Pre- Male Post- Female Pre- Female Post-
Class Level Results 27 Pre-Test 24 Post-Test 21 + 16.3* + 15.6* 18 + 13.5* + 12.2* 15 ean correct responses 12 8.2 7.5 9 2.8** $ 3.6 6 3 M 0 9th 10th 11th 12th Experimental Group
Class Level Results 27 Pre-Test 24 Post-Test 21 18 13.0 15 12.0 Mean correct responses 9.7 12 8.7 8.3 6.8 6.0 9 5.0 6 3 0 9th 10th 11th 12th Control Group
Specific Category Responses • Protein supplements and muscle development (e.g., protein shakes and amino acids) #a %correct %incorrect Pre-Test 6 33.9 65.9 Post-Test 6 64.4 35.7 Improvement + 30.5 a= number of questions on questionnaire in particular category
Specific Category Responses • Vitamin and mineral supplements #a %correct %incorrect Pre-Test 6 16.3 80.3 Post-Test 6 48.5 51.7 Improvement + 32.2 a= number of questions on questionnaire in particular category
Specific Category Responses • Formula drinks (e.g., carbohydrate loading, fluid replacement and medium chain triglyceride [MCT] solutions) #a %correct %incorrect Pre-Test 3 12.1 87.9 Post-Test 3 53.0 47.3 Improvement + 40.9 a = number of questions on questionnaire in particular category
Specific Category Responses • Steroid-alternative supplements (e.g., creatine monohydrate, androstenedione, beta-hydroxy-beta-methylbutyrate [HMB], dehydroepiandrosterone [DHEA]) #a %correct %incorrect Pre-Test 8 18.7 81.2 Post-Test 8 48.3 52.1 Improvement + 29.6 a= number of questions on questionnaire in particular category
Specific Category Responses • Weight-loss supplements (e.g., ephedras, chromium picolinate) #a %correct %incorrect Pre-Test 4 18.2 81.8 Post-Test 4 46.6 53.4 Improvement + 28.4 a= number of questions on questionnaire in particular category
Specific Category Responses • Sport supplement safety #a %correct %incorrect Pre-Test 1 36.4 63.6 Post-Test 1 77.2 22.7 Improvement + 40.8 a= number of questions on questionnaire in particular category
Dietary Supplement Use Experimental Group (n = 22) • Vitamin C (23%) • Multivitamins (9%) • Minerals • Iron (9%) • Protein (14%) *Note: results based on subjective responses
Dietary Supplement Use Control Group (n = 17) • Vitamin C (18%) • Minerals • Calcium (23%) • Iron (18%) • Non-vitamin/non-mineral • beta-hydroxy-beta-methylbutyrate (HMB) *Note: results based on subjective responses
Discussion • Results for control and experimental groups were low at pre-test and consistent with previous findings • Whether the scores were a result of SES can only be speculated
Discussion • Pre-test low scores may have been attributed to • Questions being to difficult to understand (in particular the updated 7 questions) • Subjects in this population possessing an even greater lack of basic nutrition knowledge
Discussion • Because participation was voluntary, there was no way to assure that subjects would make honest attempts to correctly answer the questions
Discussion • Significant differences at pre-test • Experimental group had a significantly lower score at pre-test (p =0.040) • May have allotted for greater improvement by experimental group • Possibly a result of inability to randomize the sample population
Summary • Effect of sport supplement intervention • Five sessions of nutrition and sport supplement education intervention were effective in improving sport supplement knowledge in adolescents from a low-income community • Consistent with finding from Hartman et al. (1997) in adults from low-income communities
Summary • Gender differences (Experimental group) • Present study indicated no significant difference between gender at pre-test • The improvement at post-test was greater in females than males • Finding does not agree with Massad et al. (1995) and Krowchuk et al. (1989)
Summary • Class level differences (Experimental group) • At pre-test • Freshmen scores lower than seniors’ • Sophomores’ scores significantly lower than juniors’ and seniors’ • At post-test • No significant differences in scores among class levels
Summary Dietary supplement use • Most consumed vitamin/mineral supplements • vitamin C • iron • calcium • Consistent with Kim & Keen (1999) and Lino et al. (1999)
Limitations Sample Size • Limited number of subjects available at NSA • Finding a willing school to participate that fit the grant criteria • Time restraints
Limitations Confounding error • School fire • Considerable subject maneuvering • Loss of subjects (control group) • Possible interaction between groups
Limitations Questionnaire Limitations • Complicated terminology may have hindered the experimental group’s ability to understand certain issues • Subject participation was optional and the investigator was unable to control attendance to educational lessons by the experimental group
Limitations Questionnaire Limitations • Assessing frequency of dietary supplement use • Results based on subjective responses • Likert-type point value system • Difficulty in ascertaining frequency of use
Limitations Sources of Nutrition Information • Prior studies have assessed this information in adolescents from communities of higher income • Present study would have provided suitable comparison for individuals of low-income
Conclusion • A short-term nutrition education program can significantly improve sport supplement knowledge in high school students from a low-income community • Future research is needed to assess long-term effects of nutrition education in low-income communities • Use of more objective measures are also required
Generalizability • Assuming internal consistency, results may be generalized to other high school adolescents in low-income communities
Future Research Implications • Possibility for future research in this needed area is evident • Similar investigation in progress • Incorporating current material into other high school in low-income communities