Examining elementary school-aged children's self-efficacy and proxy efficacy for fruit and vegetable consumption

Health Education and Behavior

Volumn 37, Issue 4, 2010, Pages 465-478

  Geller, Karly S ^a   Dzewaltowski, David A ^b  

^a UNIVERSITY OF HAWAII CANCER CENTER   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

fruit and vegetable consumption; invariance; self efficacy

Indexed keywords

ARTICLE; CHI SQUARE DISTRIBUTION; CHILD; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIET; ETHNOLOGY; FACTORIAL ANALYSIS; FEEDING BEHAVIOR; FEMALE; FRUIT; HEALTH BEHAVIOR; HUMAN; MALE; MULTICENTER STUDY; PSYCHOLOGICAL ASPECT; RANDOMIZED CONTROLLED TRIAL; SCHOOL HEALTH SERVICE; SELF CONCEPT; SOCIAL CLASS; UNITED STATES; VEGETABLE;

CHI-SQUARE DISTRIBUTION; CHILD; DIET; FACTOR ANALYSIS, STATISTICAL; FEMALE; FOOD HABITS; FRUIT; HEALTH BEHAVIOR; HUMANS; KANSAS; MALE; SCHOOL HEALTH SERVICES; SELF EFFICACY; SOCIAL CLASS; VEGETABLES;

EID: 77955670410     PISSN: 10901981     EISSN: 15526127     Source Type: Journal    
DOI: 10.1177/1090198109347067     Document Type: Article

References (32)

1. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
2. Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1-26.
3. Bentler, P.M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
4. Bentler, P.M., & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
5. Bere, E., Brug, J., & Klepp, K.I. (2007). Why do boys eat less fruit and vegetables than girls? Public Health Nutrition, 11, 321-325.
6. Brown, T.A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.
7. Browne, M.W., & Cudeck, R. (1993). Alternate ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
8. Centers for Disease Control and Prevention. (2003). Youth risk behavior surveillance-United States. Morbidity and Mortality Weekly Report, 53(SS-05), 1-108.
9. Cullen, K.W., Bartholomew, L.K., Parcel, G.S., & Koehly, L. (1998). Measuring stage of change for fruit and vegetable consumption in 9- to 12-year-old girls. Journal of Behavioral Medicine, 21(3), 241-254.
10. Dishman, R.K., Motl, R.W., Saunders, R.P., Dowda, M., Felton, G., Ward, D.S.,et al.(2002). Factorial invariance and latent mean structure of questionnaires measuring social-cognitive determinants of physical activity among Black and White adolescent girls. Preventive Medicine, 34(1), 100-108.
11. Domel, S.B., Baranowski, T., Davis, H.C., Thompson, W.O., Leonard, S.B., & Baranowski, J. (1996). A measure of stages of change in fruit and vegetable consumption among fourth- and fifth-grade school children: Reliability and validity. Journal of the American College of Nutrition, 15(1), 56-64.
12. Dzewaltowski, D.A., Karteroliotis, K., Welk, G., Johnston, J.A., Nyaronga, D., & Estabrooks, P.A. (2007). Measurement of self-efficacy and proxy efficacy for middle school youth physical activity. Journal of Sport & Exercise Psychology, 29(3), 310-332.
13. Geller, K.S., Dzewaltowski, D.A., Rosenkranz, R.R., & Karteroliotis, K. (2009). Measuring children's self-efficacy and proxy efficacy related to fruit and vegetable consumption. Journal of School Health, 79(2), 51-57.
14. Gibson, E.L., Wardle, J., & Watts, C.J. (1998). Fruit and vegetable consumption, nutritional knowledge and beliefs in mothers and children. Appetite, 31(2), 205-228.
15. Granner, M.L., Sargent, R.G., Calderon, K.S., Hussey, J.R., Evans, A.E., & Watkins, K.W. (2004). Factors of fruit and vegetable intake by race, gender, and age among young adolescents. Journal of Nutrition Education and Behavior, 36(4), 173-180.
16. Hu, L., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
17. Kratt, P., Reynolds, K., & Shewchuk, R. (2000). The role of availability as a moderator of family fruit and vegetable consumption. Health Education & Behavior, 27(4), 471-482.
18. Lien, N., Jacobs, D.R., Jr., & Klepp, K.I. (2002). Exploring predictors of eating behaviour among adolescents by gender and socio-economic status. Public Health Nutrition, 5(5), 671-681.
19. Lien, N., Lytle, L.A., & Klepp, K.I. (2001). Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Preventive Medicine, 33(3), 217-226.
20. Martin, A.J. (2008). Motivation and engagement in music and sport: Testing a multidimensional framework in diverse performance settings. Journal of Personality, 76(1), 135-170.
21. Muthen, L.K., & Muthen, B. (2007). Mplus user's guide (5th ed.). Los Angeles: Muthen & Muthen.
22. O'Dea, J.A., & Wilson, R. (2006). Socio-cognitive and nutritional factors associated with body mass index in children and adolescents: Possibilities for childhood obesity prevention. Health Education Research, 21(6), 796-805.
23. Paxton, R.J., Nigg, C.R., Motl, R.W., McGee, K., McCurdy, D., Matthai, C.H.,et al.(2008). Are constructs of the transtheoretical model for physical activity measured equivalently between sexes, age groups, and ethnicities? Annals of Behavioral Medicine, 35, 308-318.
24. Perez-Lizaur, A.B., Kaufer-Horwitz, M., & Plazas, M. (2008). Environmental and personal correlates of fruit and vegetable consumption in low income, urban Mexican children. Journal of Human Nutrition and Dietetics, 21(1), 63-71.
25. Rasmussen, M., Krolner, R., Klepp, K.I., Lytle, L., Brug, J., Bere, E.,et al.(2006). Determinants of fruit and vegetable consumption among children and adolescents: A review of the literature. Part I: Quantitative studies. International Journal of Behavioral Nutrition and Physical Activity, 3, 22.
26. Reinaerts, E., Nooijer, J., Candel, M., & Vries, N. (2006). Explaining school children's fruit and vegetable consumption: The contributions of availability, accessibility, exposure, parental consumption and habit in addition to psychosocial factors. Appetite, 48, 248-258.
27. Reynolds, K.D., Baranowski, T., Bishop, D.B., Farris, R.P., Binkley, D., Nicklas, T.A.,et al.(1999). Patterns in child and adolescent consumption of fruit and vegetables: Effects of gender and ethnicity across four sites. Journal of the American College of Nutrition, 18(3), 248-254.
28. Reynolds, K.D., Yaroch, A.L., Franklin, F.A., & Maloy, J. (2002). Testing mediating variables in a school-based nutrition intervention program. Health Psychology, 21(1), 51-60.
29. Sharma, M., Wagner, D.I., & Wilkerson, J. (2005). Predicting childhood obesity prevention behaviors using social cognitive theory. International Quarterly of Community Health Education, 24(3), 191-203.
30. Sweeting, H., Anderson, A., & West, P. (1994). Socio-demographic correlates of dietary habits in mid to late adolescence. European Journal of Clinical Nutrition, 48(10), 736-748.
31. U.S. Department of Agriculture. (2005). Dietary guidelines for Americans. Washington, DC: Government Printing Office.
32. Vereecken, C.A., Van Damme, W., & Maes, L. (2005). Measuring attitudes, self-efficacy, and social and environmental influences on fruit and vegetable consumption of 11- and 12-year-old children: Reliability and validity. Journal of the American Dietetic Association, 105(2), 257-261.