Psychosocial measures used to assess the effectiveness of school-based nutrition education programs: Review and analysis of self-report instruments for children 8 to 12 years old

Journal of Nutrition Education and Behavior

Volumn 45, Issue 5, 2013, Pages 392-403

  Hernández Garbanzo, Yenory ^a   Brosh, Joanne ^b   Serrano, Elena L ^b   Cason, Katherine L ^a   Bhattarai, Ranju ^b  

^a CLEMSON UNIVERSITY   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Evaluation measures; Nutrition education; School; Validity; Youth

Indexed keywords

EID: 84883791738     PISSN: 14994046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneb.2013.01.007     Document Type: Article

References (43)

1. Rossen L.M., Schoendorf K.C. Measuring health disparities: trends in racial-ethnic and socioeconomic disparities in obesity among 2- to 18-year old youth in the United States 2001-2010. Ann Epidemiol 2012, 22:698-704.
2. Odgen C.L., Carroll M.D., Kit B.K., Flegal K.M. Prevalence of obesity and trends in obesity mass index among US children and adolescents, 1999-2010. JAMA 2012, 307:483-490.
3. Roseman M.G., Riddell M.C., Haynes J.N. A content analysis of kindergarten-12th grade school-based nutrition interventions: taking advantage of past learning. J Nutr Educ Behav 2001, 43:2-18.
4. Contento I.R. Nutrition Education: Linking Research, Theory, and Practice 2010, Jones & Bartlett Publishers, Sudbury, MA. 2nd ed.
5. Cerin E., Barnett A., Baranowski T. Testing theories of dietary behavior change in youth using the mediating variable model with intervention programs. J Nutr Educ Behav 2009, 41:309-318.
6. Baranowski T., Cerin E., Baranowski J. Steps in the design, development, and formative evaluation of obesity prevention-related behavior change trials. Int J Behav Nutr Phys 2009, 6:6. Accessed February 25, 2013. http://www.ijbnpa.org/content/6/1/6.
7. Contento I.R., Randell J.S., Basch C.E. Review and analysis of evaluation measures used in nutrition education research. J Nutr Educ Behav 2002, 34:2-25.
8. Dignan M.B., Steckler A.R., Goodman R.M. Measurement and Evaluation of Health Education 1989, CC Thomas, Springfield, IL. 3rd ed.
9. Townsend M.S., Kaiser L.L., Allen L.H., Joy A.B., Murphy S.P. Selecting items for a food behavior checklist for a limited resource audience. J Nutr Educ Behav 2003, 35:69-77.
10. Sherwood N.E., Story M., Neumark-Sztainer D., Adkins S., Davis M. Development and implementation of a visual card-sorting technique for assessing food and activity preferences and patterns in African American girls. J Am Diet Assoc 2003, 103:1473-1479.
11. Biddle S.J., Gorely T., Pearson N., Bull F.C. An assessment of self-reported physical activity instruments in young people for population surveillance: Project ALPHA. Int J Behav Nutr Phys Act 2011, 8:1. Accessed February 25, 2013. http://www.ijbnpa.org/content/8/1/1.
12. DeVellis R.F. Scale Development: Theory and Application 1991, Sage, Newbury Park, CA.
13. Kelder S., Hoelscher D.M., Barroso C.S., Walker J.L., Cribb P., Hu S. The CATCH Kids Club: a pilot after-school study for improving elementary students' nutrition and physical activity. Public Health Nutr 2005, 8:133-140.
14. Penkilo M., George G.C., Hoelscher D.M. Reproducibility of the School-based Nutrition Monitoring Questionnaire among fourth-grade students in Texas. J Nutr Educ Behav 2008, 40:20-27.
15. Stevens J., Cornell C.E., Story M., et al. Development of a questionnaire to assess knowledge, attitudes, and behaviors in American Indian children. Am J Clin Nutr 1999, 69:773S-781S.
16. Stevens J., Story M., Ring K., et al. The impact of the Pathways intervention on psychosocial variables related to diet and physical activity in American Indian schoolchildren. Prev Med 2003, 37:S70-S79.
17. De Bourdeaudhuij I., Klepp K.I., Due P., et al. Reliability and validity of a questionnaire to measure personal, social, and environmental correlates of fruit and vegetable intake in 10- and 11-year old children in five European countries. Public Health Nutr 2005, 8:189-200.
18. Glanz K., Steffen A. Development and reliability testing for measures of psychosocial constructs associated with adolescent girls' calcium intake. J Am Diet Assoc 2008, 108:857-861.
19. Burgess-Champoux T.L., Rosen R., Marquart L., Reicks M. The development of psychosocial measures for whole-grain intake among children and their parents. J Am Diet Assoc 2008, 108:714-717.
20. Burgess-Champoux T.L. Healthy whole grains choices for children and parents: a school-based pilot intervention. [dissertation] 2006, University of Minnesota. ProQuest Dissertations and Theses, Minneapolis, MN.
21. Reynolds K.D., Yaroch A.L., Franklin F.A., Maloy J. Testing mediating variables in a school-based nutrition intervention program. Health Psychol 2002, 21:51-60.
22. Reynolds K.D., Franklin F.A., Binkley D., et al. Increasing the fruit and vegetable consumption of fourth-graders: results from the high 5 project. Prev Med 2000, 30:309-319.
23. Domel S.B., Thompson W.O., Davis H.C., Baranowsk T., Leonard S.B., Baranowski J. Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Educ Res 1996, 11:299-308.
24. Baranowski T., Davis M., Resnicow K., et al. Gimme 5 fruit, juice, and vegetables for fun and health: outcome evaluation. Health Educ Behav 2000, 27:96-111.
25. Morris J.L., Briggs M., Zidenberg-Cherr S. Development and evaluation of a garden-enhanced nutrition education curriculum for elementary schoolchildren. J Child Nutr Manag 2002, 26:2. Accessed February 25, 2013. http://docs.schoolnutrition.org/newsroom/jcnm/02fall/morris/.
26. Sherrill-Mittleman D.A., Klesges L.M., Lanctot J.Q., Stockton M.B., Klesges R.C. Measurement characteristics of dietary psychosocial scales in a weight gain prevention study with 8- to 10-year-old African-American girls. Health Educ Res 2009, 24:586-595.
27. Rinderknecht K., Smith C. Social cognitive theory in an after-school nutrition intervention for urban Native American youth. J Nutr Educ Behav 2004, 36:298-304.
28. Townsend M.S., Johns M., Shilts M.K., Farfan-Ramirez L. Evaluation ofa USDA nutrition education program for low-income youth. J Nutr Educ Behav 2006, 38:30-41.
29. Sabariah S., Zalilah M.S., Norlijah O., et al. Reliability and validity of the instrument used in the HELIC (Healthy Lifestyle in Children) study of primary school children's knowledge, attitude, and practice. Mal J Nutr 2006, 12:33-44.
30. Wilson A.M., Magarey A.M., Mastersson N. Reliability and relative validity of a child nutrition questionnaire to simultaneously assess dietary patterns associated with positive energy balance and food behaviours, attitudes, knowledge and environments associated with healthy eating. Int J Behav Nutr Phys Act 2008, 5:5. Accessed February 25, 2013. http://www.ijbnpa.org/content/5/1/5.
31. Anderson A.S., Bell A., Adamson A., Moynihan P. A questionnaire assessment of nutrition knowledge-validity and reliability issues. Public Health Nutr 2002, 5:497-503.
32. Vereecken C.A., Van Damme W., Maes L. Measuring attitudes, self-efficacy, and social and environmental influences on fruit and vegetable consumption of 11- and 12-year old children: reliability and validity. J Am Diet Assoc 2005, 105:257-261.
33. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory 1986, Prentice-Hall, Englewood Cliffs, NJ.
34. Bowen N.K. Cognitive testing and the validity of child-report data from the elementary school success profile. Soc Work Res 2008, 32:18.
35. Yaghmaei F. Content validity and its estimation. J Med Educ 2003, 3:25-27.
36. Borgers N, Hox JJ. Reliability of responses in questionnaire research with children. Paper presented at the 5th International Conference on Logic and Methodology; October 3-6, 2000; Cologne, Germany.
37. Ginsburg H., Opper S. Piaget's Theory of Intellectual Development 1979, Prentice Hall, Upper Saddle River, NJ.
38. Borgers N., de Leeuw E., Hox J. Children as respondents in survey research: cognitive development and response quality 1. Bull Sociol Method 2000, 66:60-75.
39. Sim J., Wright C.C. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther 2005, 85:257-268.
40. Bandura A. Social Cognitive Theory and exercise of control over HIV infection. Preventing AIDS: Theories and Methods of Behavioral Interventions 1994, 25-59. Plenum, New York, NY. R.J. DiClemente, J.L. Peterson (Eds.).
41. Maibach E.W., Cotton D Cognitive approach to message design. Designing Health Messages: Approaches from Communication Theory and Public Health Practice 1995, 41-64. Sage, Thousand Oaks, CA. E.W. Maibach, R.L. Parrott (Eds.).
42. Guillaumie L., Godin G., Vezina-Im L.A. Psychosocial determinants of fruit and vegetable intake in adult population: a systematic review. Int J Behav Nutr Phys Act 2010, 7:12. Accessed February 25, 2013. http://www.ijbnpa.org/content/7/1/12.
43. United States Department of Agriculture, National Institute of Food and Agriculture. Expanded Food and Nutrition Education Program (EFNEP). Accessed February 25,2013. http://www.csrees.usda.gov/nea/food/efnep/efnep.html.