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ARTICLES |
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* Center for Educational Outreach, Baylor College
of Medicine, 1709 Dryden, Suite 545, Houston, Texas 77030;
Department of Family and Community Medicine,
Baylor College of Medicine, Houston, Texas 77030; and
Department of Technology and Cognition,
University of North Texas, Denton, Texas 76203
Submitted August 25, 2003; Accepted December 5, 2003
| ABSTRACT |
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Key Words: energy balance nutrition elementary-school students middle-school students obesity
| INTRODUCTION |
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Overweight and obesity are associated with a multitude of health risks, such as type 2 diabetes, heart disease, stroke, high cholesterol, asthma, and psychological difficulties. These conditions soon may be linked to as many preventable deaths as is cigarette smoking (U.S. Department of Health and Human Services, 2000; Office of the Surgeon General, 2001; Strauss and Pollack, 2001; Rodriguez et al., 2002).
Clearly, childhood education on healthy eating and exercise is critical so that "individuals have the information and skills they need to protect and enhance their own health and the health of their families" (U.S. Department of Health and Human Services, 2000). It has been shown that nutritional and/or fitness deficits in school-age children and adolescents can be addressed, especially by promoting regular physical activity and dietary awareness (Dowda et al., 2001; Andersen et al., 2002; Centers for Disease Control, 2003). In addition, health education and school health promotion programs for the elementary- and middle-school grades have achieved statistically significant outcomes involving a number of variables, such as students' self-reported attitudes and behaviors (Hunter et al., 1996), reduction of coronary heart disease risk factors (Luepker et al., 1996; Bush et al., 1989), improvements in dietary intake and reduction of time watching television (Gortmaker et al., 1999a), and decreased obesity among girls in grades 6-8 (Gortmaker et al., 1999b).
However, despite the availability of successful education programs that address the link between food and health, overweight and obesity among young students continue to increase. Additional approaches are needed to supplement existing programs and provide mechanisms to reach students outside of traditional health education settings. One strategy is to teach more health-related topics as part of science classes. Even though nutrition is included within the National Science Education Standards (NSES) on Science in Personal and Social Perspectives (National Research Council, 1996), the topic most frequently is placed within the health curriculum in schools (National Center for Educational Statistics, 1996).
National agencies continue to appeal to educators to develop additional alternative approaches to providing students with the knowledge and critical thinking skills needed to adopt healthy eating and exercise habits, not only now, but as they grow into adults. Healthy People 2010 (U.S. Department of Health and Human Services, 2000), for example, states that "essential nutrition education topics [including the Food Pyramid, the benefits of healthy diet, how to choose and prepare healthy foods, using food labels, eating healthy foods, and balancing calorie intake with appropriate exercise/activity] should be integrated into science and other curricula to reinforce principles and messages learned in the health units."
In response to the identified need for supplementary approaches to teaching nutrition-related concepts, scientists and educators at Baylor College of Medicine (BCM) recently developed an interdisciplinary instructional unit aimed at increasing elementary and middle school students' science knowledge of energy, metabolism, and nutrition. Entitled "Food and Fitness" (Moreno et al., 2003), the unit is designed to complement health instruction in schools by providing activities that can be taught as part of upper elementary- and middle-school science classes. The activities in Food and Fitness address Science as Inquiry, Life Science, and Physical Science content standards outlined in the NSES (National Research Council, 1996). The unit also addresses benchmarks provided by the National Health Education Standards (Joint Committee on National Health Education Standards, 1995) and the standards for Science in the Personal and Social Perspective of the NSES.
Food and Fitness is the third unit in the instructional series, From Outer Space to Inner Space, developed by BCM in collaboration with the National Space Biomedical Research Institute (NSBRI). Created in 1997, NSBRI is a NASA-sponsored consortium of biomedical research institutions dedicated to the study of health risks associated with long-term space flight.
Units in the From Outer Space to Inner Space series pose challenges to students based on real biomedical concerns faced by astronauts in space and guide students toward discoveries about health issues facing people on Earth (for example, osteoporosis, jet lag, or specialized nutritional needs). Each unit consists of 6-10 activities designed to strengthen students' critical thinking skills; facilitate integration of physical, life and earth/space science topics; and introduce students to opportunities in science-based careers. Food and Fitness allows students to explore basic concepts, such as energy in living systems, metabolism, and nutrients, while building knowledge about diet, exercise, and health.
The field test version of the unit contained five guided inquiry activities in which students investigated questions posed to them and a final activity in which students applied their knowledge. The first activity provided a focus for the unit by guiding students through an exploration of what happens when a simple organism (yeast) is provided with a potential food source (sugar). Students made predictions and detailed observations of the appearance of yeast mixtures with and without added sugar. Using thermometers or electronic probes, students also observed that yeast mixtures with "food" became warmer. Next, students compared the amount of energy released as heat from two different food types. Students burned small equivalent pieces of a high-fat food (pecan) and a high-carbohydrate food (oat cereal) under containers filled with 50 ml of water and measured the resulting temperature changes in the water. Students used their data to calculate and compare the approximate number of calories given off by each of the foods. In the third activity, students estimated the amounts of calories needed by a typical U.S. 15-year-old boy and girl at rest (basal metabolic rate) using the Harris-Benedict (1919) equations and adjusted the figures to account for different levels of physical activity. Next, during the fourth activity, students investigated the number of calories found within a "typical" adolescent's diet or within their own. In the fifth activity, students compared the nutritional content of typical diets or their own diets with recommendations of the Food Pyramid and also learned to interpret the information reported on food labels. Finally, students learned about persons with special dietary needs and designed special, nutritionally appropriate menus for different cases. The examples considered by students were an astronaut in space, a person with type 2 diabetes, an athlete-in-training, a pregnant woman, a strict vegetarian, a person who is lactose intolerant, and a person with hypertension.
Even though the appropriateness of the Food Pyramid (U.S. Department of Agriculture, 1996) recently has come into question (Willett and Stampfer, 2003), the pyramid was included in the unit because it continues to appear on food packaging and in most health textbooks. At the same time, messages were woven throughout the unit about the importance of selecting whole grain carbohydrates, reducing intake of refined sugars and grains, choosing a variety of fruits and vegetables, and selecting healthy oils (instead of saturated and/or partially hydrogenated fats) (Lupton, 2003). All of the activities were designed to be conducted by groups of two to four students working collaboratively and to fit within 45-min blocks of time (although some activities required more than one class period).
As part of the curriculum development process, the draft version of Food and Fitness was field tested with students and teachers in Houston, Texas. The goals of the field test were to evaluate teachers' satisfaction with the unit and the effectiveness of each of the activities in promoting student understanding of science concepts, as well as to identify areas in which the unit and activities could be improved.
| METHODS |
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Field-test teachers had participated in previous BCM programs or were recommended by their lead teacher colleagues. BCM sought teachers who had demonstrated effective, responsible teaching practice, who were innovative, and who would be thorough in teaching and thoughtful in reviewing the Food and Fitness unit.
Because BCM selected individual teachers (and not particular schools) to conduct the field-testing, the classrooms and students impacted were entirely dependent on the teachers who agreed to participate. Once field-test teachers were selected, project leaders worked with these teachers and their school administrators to identify partner comparison teachers at field-test teachers' respective schools. The authors are aware that this nonrandomized selection process held potential for introducing bias into the field test. However, the aim of the field test was not only to estimate student learning as a result of using the draft unit, but also to obtain teacher feedback and input for improving the unit. It should be noted that most comparison group teachers taught the same grades as their field-test teacher partners, and their students' performance histories were similar to those of field-test students. As can be seen in the results of the independent sample t-test reported below, there were no statistical differences among the preassessment performances of the field-test and comparison groups of students.
Food and Fitness field tests were conducted in the spring of 2002. Comparison-group teachers taught their schools' traditional curricula, which did not necessarily include nutrition concepts, during the field-test period. Field-test teachers required more or less time to complete the unit, based on their teaching styles, their students, and the frequency with which they conducted Food and Fitness hands-on activities with their students. In every case, it took at least 1 month to complete all of the unit's activities. Teachers administered the pre-student content preassessment before introducing any concepts or activities related to the unit.
To determine the compatibility between the field-test group and the comparison group, an independent-sample t-test was conducted on the pre-student assessments of nutritional knowledge. Results from this assessment showed no statistical mean differences between field-test and comparison groups (t = 1.405, df 789, p = .160). This signifies that postassessment results may be used to support the hypothesis regarding effectiveness of the field-test materials and the assertion that changes in student content knowledge may be attributable to the field test.
Instruments
Two instruments were used to gather data about field-test participants and
estimate the effectiveness of the Food and Fitness materials. The first
instrument was a 24-item field-test Teacher's Evaluation form, developed at
BCM. (Comparison teachers were not asked to complete the form, as they would
have had no responses for most of the items.) This was the fifth
administration of the Teacher Evaluation instrument, which has been used
during the field-testing of other similar educational units. The consistency
of scores across all administrations, and subsequent appraisals of resulting
content have led the authors to believe that the instrument shows strong
content validity (Popham,
2000).
Instrument items 1-4 request information about teachers' schools, students, and curricula. The remaining 20 items ask teachers to rate the Food and Fitness unit overall and to indicate their level of agreement with a series of statements related to the unit's impact on their students. The scale on the first of these 20 items is 1 (didn't like it) to 5 (loved it). On the final 19 items, the scale is 1 (strongly disagree) to 5 (strongly agree). In addition, teachers were asked to provide open-ended responses regarding the quality of the unit and to document modifications that they made to any of the procedures or student handouts.
Field-test teachers filled out and returned this form immediately after completing field-testing, which was conducted between mid-March and the end of May 2002. All completed teacher evaluation forms were received by the first week of June.
The second instrument was a 15-item multiple-choice Student Content Assessment designed to measure students' content knowledge of topics (e.g., energy in food, energy expended during different physical activities, healthy food choices, special diet needs) covered by Food and Fitness instruction and activities. The Food and Fitness Student Content Knowledge Assessment (Figure 1) shows correct answers in boldface.
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As noted earlier, all field-test teachers required at least 1 month to
complete the unit, so there would have been at least that much time between
administration of the pre and that of the post Student Knowledge Content
Assessments for all students. Item numbers were changed from pre to
postassessments, but the items themselves were not altered. Although the
instrument yielded only moderately high scores for reliability (
=
.7236 [Crocker and Algina,
1986]),
was disattenuated by the fact that on both the pre
and the postassessments, students tended to score homogeneously within their
respective groups (field-test and comparison). For the purposes of this study,
the instrument showed high criterion-related validity by having a point
biserial correlation of 0.500 (p < .001) between students' outcome
scores and their respective groups (field-test and comparison) (point biserial
correlation is a special case of the Pearson correlation, where one variable
is dichotomous and the other is continuous
[McNemar, 1969]).
| RESULTS |
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Teachers also indicated their levels of agreement with the items in Table 1, using the 5-point scale described under Instruments, above (1 = strongly disagree; 5 = strongly agree). Mean scores and accompanying standard deviations for each item are shown in parentheses.
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Field-test teachers also provided valuable qualitative feedback on the Teachers Evaluation form that reflects some of the most critical issues related to nutrition and fitness for young people. For example, one fifth-grade teacher noted, "It's tough to get the kids to continue a healthy lifestyle without parental willingness to change." A sixth-grade teacher wrote, "Students do not consider exercise important." Other comments included, "They [the students] were shocked to see what a 'serving' of food consisted of" and "My students were surprised at the differences between their diets and healthier ones."
Student Content Assessment
Field-Test Students. The mean prescore on the Student
Knowledge Content Assessment for field-test students was 6.6 (SD = 2.7).
Field-test group scores increased on all 15 items, from pre- to
postassessment. Because multiple t-tests were performed, a Dunn-Sidak
correction was applied to the criterion
level of .05, lowering it to
.003. The Dunn-Sidak correction controls for experimentwise (or familywise)
error that otherwise would occur when making post hoc comparisons,
such as the comparisons made here between pre and post means on individual
questions (Lomax, 2001). The
only questions that did not show statistically significant improvement after
applying the Dunn-Sidak correction were Nos. 2 and 10. The mean total score
for field-test students showed a statistically significant postassessment
increase, to 8.7 (SD = 3.9, p < .001). Field-test students showed
the greatest prior knowledge on the following five items of the pre
Student Knowledge Content Assessment.
All of these items also were among the top six scores on the post Student Knowledge Content Assessment, although increases on items 2 and 10 were not statistically significant. Post Student Knowledge Content Assessment scores on these items were 1 (86.2%), 2 (86.2%), 4 (79.1%), 10 (69.8%), and 13 (78.4%). Field-test students also scored particularly well on the following items of the postassessment.
Field-test students showed the least prior knowledge on the following items of the pre Student Knowledge Content Assessment.
Despite showing statistically significant increases (items 5, 7, and 14 showed the greatest improvement on the postassessment), all of these items still were among the lowest six scores on the postassessment: 5 (46.7%), 6 (51.1%), 7 (54.1%), 8 (38.6%), and 14 (48.6%). Item 3 ("Essential nutrients are... all of the above") was the only other question for which less than 50% of field-test students provided correct responses on the postassessment (43.5%). Table 2 provides itemized pre and postassessment results for field-test and comparison students.
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Like their teachers, field-test students provided comments regarding their experiences with the Food and Fitness unit. One third-grader noted that "Michael Jordan would use more energy than a school librarian," while another wrote, "If a person ate too many calories and didn't use them, he would become overweight." Finally, a fifth-grade student reported, "I stopped eating chips because they are full of empty calories."
Comparison Students. The mean pre-Student Knowledge Content
Assessment score for comparison students was 6.0 (SD = 2.8). Data from the
comparison group also were analyzed using the Dunn-Sidak correction, with the
criterion
set at .003 in order for scores to be considered
statistically significant. The comparison group's postassessment mean score
dropped on 7 of the 15 items, and the group's mean total score dropped to 5.8
(s = 3.0), from pre- to postassessment. The postassessment mean scores of the
comparison group and the field-test groups were found to be statistically
significantly different (t = 27.17, p < 0.001, df = 788).
Comparison-group students showed a statistically significant decrease on item
1 of the postassessment. There were no statistically significant increases or
decreases on any of the other items, from pre- to postassessment.
Comparison-group students showed greatest prior knowledge on the same five items of the pre-assessment that the field-test students did: 1 (64.8% providing correct answers on the pre-assessment), 2 (76.7%), 4 (61.8%) 10 (60.9%), and 13 (54.3%). These same five items received the highest percentage of correct scores on the comparison students' postassessment, although scores for three of them actually dropped: 1 (52.9%), 2 (76.3%), 4 (65.4%), 10 (59.3%), and 13 (57.4%). The only other item on which more than 50% of comparison students provided the correct answer on the postassessment was question 12 (50.6%).
The comparison group had the least prior knowledge on the same five pre Student Knowlegde Content Assessment items as the field-test students did: 5 (12.2% of students gave correct answers on the pre assessment), 6 (25.1%), 7 (18.2%), 8 (23.0%), and 14 (20.3%). All of these items also were among the lowest six scores for comparison-group students on the post assessment: 5 (10.6%), 6 (30.6%), 7 (22.4%), 8 (21.2%), and 14 (20.8%). Item 3 was the only other question for which less than 30% of comparison students provided correct responses on the post assessment (29.2%).
| DISCUSSION |
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Beyond providing an indicator of the unit's overall effectiveness, the Food and Fitness field-test results offer a glimpse into elementary- and middle-school students' knowledge and beliefs regarding a specific set of concepts related to energy, living systems, and diet. The National Research Council (2000) notes, "Students build new knowledge and understanding based on what they already know and believe... by modifying and refining their current concepts and by adding new concepts to what they already know." Thus, understanding students' existing knowledge is essential for the development of instructional programs that help students learn new concepts (National Research Council, 2001).
Because the present study was conducted entirely within Houston, Texas, the authors cannot assert that the findings represent student populations in other locations. However, it is important to note that both student groups participating in the field test had similar prior knowledge on all items on the pre-Student Knowledge Content Assessment. Each item and the students' total scores were compared in multiple independent-sample t-tests to ensure that the two groups were compatible in terms of previous knowledge. After adjusting the p calculated to account for the multiple t-tests using the Dunn-Sidak correction (Lomax, 2001), no statistically significant differences were noted in the mean scores of any item or in the total test scores for the preknowledge content assessments. This analysis provides strong justification for considering the two groups together in terms of their initial knowledge set about the topics covered.
Preassessment results for both groups indicate that almost all students (>75%) can identify "tennis" as an activity that uses more energy than sleeping, reading a difficult book, or playing video games. More than half of the students in both groups also were able to identify "calories" as the units of measure of energy in food, select cottage cheese as a food that might be avoided by someone who is lactose intolerant, report that a person's energy intake should match his or her energy use, identify a nutritious breakfast for a vegetarian who eats dairy products, and report that astronauts have different dietary needs because of the microgravity environment in which they work. However, far fewer students were able to identify healthy portion sizes, foods that supply the most energy, essential nutrients, what "diet" actually means, and the relationship between body size and the amounts of calories burned at rest (basal metabolic rate). All of these concepts (and misconceptions) are linked to overweight, obesity, and other health problems among children and adolescents.
On the pre-Student Knowledge Content Assessment, fewer than 50% of the members of both groups correctly answered the item related to dietary needs of people with type 2 diabetes, even though this is a growing problem among children and adolescents in the United States, especially among Hispanics, African-Americans, and Native Americans (Fagot-Campagna, 2000; Nesmith, 2001; Rotler, 2001; Matthews and Wallace, 2002).
An even more disconcerting outcome, included here only as a post hoc finding, is the lack of difference among scores on the pre-assessment across all grade levels. For pre-assessment scores, we conducted a one-way ANOVA (Table 3) with five levels to investigate whether or not students in different grades were performing at different levels. There were statistical differences in student scores by grade, but in the post hoc analysis, the only group that had significantly statistical different mean scores from the others was the third grade; all other grades were indistinguishable statistically. This means that the fourth-, fifth-, sixth-, and seventh-grade students were performing at equivalent levels (statistically) in terms of their knowledge of nutrition on the administered pre-assessment. Put another way, this finding suggests that in terms of nutrition and energy knowledge (as tested), students in the seventh grade knew nothing more than their fourth-grade counterparts. This is particularly disturbing, given that the Texas Education Agency, under the Texas Essential Knowledge and Skills, explicitly includes concepts related to diet and nutrition as part of required health education for all grade levels covered in this study (Texas Education Agency, 2002).
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By identifying concepts about which students have more or less understanding, the pre-assessment findings suggest starting points for educators seeking to improve their students' awareness and habits related to energy, nutrition, diet, and exercise. The findings also indicate that Food and Fitness and similar science-based models can be effective with middle-school students.
Since comparison students did not use Food and Fitness materials, their pre-Student Knowledge Content Assessment scores are not discussed here. However, because field-test and comparison students achieved such similar results on the pre-assessment, observed changes in field-test students' postassessment scores can reasonably be attributed largely to the introduction of Food and Fitness materials.
In fact, the field-test student group, which initially demonstrated very limited knowledge of many concepts on the preassessment, performed dramatically better (at least 26% more students answered correctly on the postassessment than on the pre-assessment) on items 5, 6, 7, and 14, related to portion size, products of respiration, energy in foods, and the meaning of "diet."
The field-test group also showed statistically significantly increased understanding of the concepts related to calories as a measure of energy in food, essential nutrients, special dietary needs (e.g., lactose intolerance, type 2 diabetes, and needs of astronauts), basal metabolic rate, recommendations of the Food Pyramid, and the relationship of food consumption to energy exertion (items 1, 3, 4, 8, 9, 11, 12, 13, and 15).
The only improvements that were not statistically significant occurred on items 2 and 10. Students' scores on item 2 (energy requirements of different activities, such as tennis) already were high on the pre-assessment and did not change significantly after students took part in the field test. Item 10 dealt with vegetarian diets, which were addressed only in the final activity in the unit. In response to the low rate of improvement on this question by students, additional information about vegetarian diets and nutrient contents of foods was added to the final version of Food and Fitness.
The instructional approach of Food and Fitness, in which students investigate questions posed to them, appears to have been effective in improving student knowledge in all of the areas in which existing knowledge was weak. However, the most dramatic gains were seen on items 5, 6, 7, and 14. As noted earlier, these items also presented extremely low pre-assessment scores, so offered the greatest room for improvement. However, the items also reflect concepts that were taught explicitly by activities in the unit: one portion size of meat is about the size of a deck of cards, carbon dioxide and heat are given off during respiration by yeast, nuts yield more energy (calories) than do carbohydrates or tofu, and a person's diet consists of everything he or she eats. It is noteworthy that the most dramatic hands-on activity in the unit, in which students compare the calories released when pieces of oat cereal and pecan are burned, also led to the greatest pre/post gains in student knowledge (item 7).
At the same time, it is important to acknowledge that while the Food and Fitness teaching materials clearly had a strong positive impact, the field-test results also demonstrate that students still require more information and additional classroom experiences related to energy, nutrition, and related ideas. Even after completing the unit, the mean score of the student field-test group was only 8.7 of a possible 15 (58% correct).
| CONCLUSION |
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| ACCESSING MATERIALS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Corresponding author. E-mail address:
nmoreno{at}bcm.tmc.edu.
| REFERENCES |
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Bush, P.J., Zuckerman, A.E., Theiss, P.K., Taggart, V.S., Horowitz,
C., Sheridan, M.J., and Walter, H.J. (1989). Cardiovascular risk
factor prevention in black schoolchildren: Two-year results of the "Know
Your Body" program. Am. J. Epidemiol.
129,466
-482.
Centers for Disease Control. (2002). Prevalence of overweight among children and adolescents: United States, 1999-2000. [Online] Available at www.cdc.gov/nchs [Producer and distributor].
Centers for Disease Control. (2003). Physical activity and good nutrition: Essential elements to prevent chronic diseases and obesity. [Online] Available at http://www.cdc.gov/nccdphp/aag/aag_dnpa.htm [Producer and Distributor].
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ: Erlbaum.
Crocker, L., and Algina, J. (1986).Introduction to Classical and Modern Test Theory . Fort Worth, TX: Holt, Rinehart and Winston.
Dowda, M., Ainsworth, B.E., Addy, C.L., Saunders, R., and Riner, W.
(2001). Environmental influences, physical activity, and weight
status of 8- to 16-year-olds. Arch. Pediatr. Adolesc. Med.
155,711
-717.
Fagot-Campagna, A. (2000). Emergence of type 2 diabetes mellitus in children: Epidemiological evidence. J. Pediatr. Endocrinol. Metab. 13,1395 -1402.
Gortmaker, S.L., Cheung, L.W., Peterson, K.E., Chomitz, G., Cradle
J.H., Dart, H., Fox, M.K., Bullock, R.B., Sobol, A.M., Colditz, G., Field,
A.E., and Laird, N. (1999a). Impact of a school-based
interdisciplinary intervention on diet and physical activity among urban
primary school children: Eat well and keep moving. Arch. Pediatr.
Adolesc. Med. 153,975
-983.
Gortmaker, S.L., Peterson, K., Wiecha, J., Sobol, A.M., Dixit, S.,
Fox, M.K., and Laird, N. (1999b). Reducing obesity via a
school-based interdisciplinary intervention among youth: Planet Health.Arch. Pediatr. Adolesc. Med.
153,409
-418.
Harris, J., and Benedict, F. (1919). A Biometric Study of Basal Metabolism in Man. Washington, DC: Carnegie Institute of Washington.
Hunter, S.L., Anspaugh, D.J., and Hamrick, M. (1996).Evaluation Report: Growing Healthy Program in Memphis City Schools, Grade 5 . Memphis, TN: Memphis and Shelby County Medical Society Foundation.
Joint Committee on National Health Education Standards. (1995). National Health Education Standards: Achieving Health Literacy. Atlanta, GA: American Cancer Society.
Lomax, R.G. (2001). An Introduction to Statistical Concepts for Education and Behavioral Sciences. Mahwah, NJ: Erlbaum.
Luepker, R.V., Perry, C.L., McKinley, S.M., et al.
(1996). JAMA 275,768
-776.
Lupton, J.R. (2003). Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Public briefing, opening statement. Washington, DC: Institute of Medicine. [Online] Available at http://www4.nationalacademies.org/news.nsf/isbn/s0309085373?OpenDocument [Producer and distributor].
Matthews, D.R., and Wallace, T.M. (2002). Children with Type 2 diabetes: The risks of complications. Hormone Res. 57 (Suppl. 1),34 -39.
McNemar, Q. (1969). Psychological Statistics. New York: John Wiley.
Moreno, N.P., Rahmati Clayton, S., Cutler, P.H., Young, M., and Tharp, B.Z. (2003). Food and Fitness: Activities Guide for Teachers. Houston, TX: National Space Biomedical Research Institute.
National Center for Educational Statistics. (1996).Nutrition education in public elementary and secondary schools . NCES 96-852. Washington, DC: Office of Educational Research and Improvement. U.S. Department of Education. [Online] Available at http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=96852 [Producer and Distributor].
National Research Council. (1996). National Science Education Standards. Washington, DC: National Academies Press.
National Research Council. (2000). Inquiry and the National Science Education Standards. Washington, DC: National Academies Press.
National Research Council. (2001). Knowing What Students Know: The Science and Design of Educational Assessment. Washington, DC: National Academies Press.
Nesmith, J.D. (2001). Type 2 diabetes mellitus in
children and adolescents. Pediatr. Rev.
22,147
-152.
Nielsen, S.J., and Popkin, B.M. (2003). Patterns and
trends in food portion sizes, 1977-1998. JAMA
289,450
-452.
Office of the Surgeon General. (2001). The Surgeon General's Call to Action to Prevent and Decrease Overweight and Obesity. Rockville, MD: U.S. Department of Health and Human Services, Public Health Service.
Popham, W.J. (2000). Modern Educational Measurement, 3rd ed. Boston: Allyn and Bacon.
Rodriguez, M.A., Winkleby, M.A., Ahn, D., Sundquist, J., and
Kraemer, H.C. (2002). Identification of population subgroups of
children and adolescents with high asthma relevance. Arch. Pediatr.
Adolesc. Med. 156,269
-275.
Rotler, S. (2001). More children diagnosed with type 2 diabetes. Diabetes Care 24,S21 -S24.
Strauss, R.S., and Pollack, H.A. (2001). Epidemic
increase in childhood overweight, 1986-1998. JAMA
286,2845
-2848.
Texas Education Agency. (2002). Chapter 115: Texas essential knowledge and skills for health education. [Online] Available at http://www.tea.state.tx.us/rules/tac/chapter115/index.html [Producer and distributor].
U.S. Department of Agriculture. (1969). The Food Guide Pyramid. Center for Nutrition Policy and Research. Home and Garden Bulletin 252. Also available at http://www.usda.gov/cnpp/pyrabklt.pdf [Producer and distributor].
U.S. Department of Health and Human Services. (2000).Healthy People 2010 . [Online] Available at http://www.health.gov/healthypeople/Document/HTML/Volume2/19Nutrition.htm [Producer and distributor].
U.S. Department of Health and Human Services. (2001).Overweight and obesity threaten US health gains . [Online] Available at http://www.hhs.gov/news [Producer and distributor].
Willett, W.C., and Stampfer, M.J. (2003).Rebuilding the food pyramid . Scientific American, January. [Online] Available at http://www.scientificamerican.com/article.cfm?chanID=sa006&colID=1&articleID=0007C5B6-7152-1DF6-9733809EC588EEDF [Distributor].
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