2014, Número 2
<< Anterior Siguiente >>
salud publica mex 2014; 56 (2)
Validación del cuestionario Pro Children Project para evaluar factores psicosociales del consumo de fruta y verdura en México
Ochoa-Meza G, Sierra JC, Pérez-Rodrigo C, Aranceta-Bartrina J
Idioma: Español
Referencias bibliográficas: 56
Paginas: 165-179
Archivo PDF: 362.98 Kb.
RESUMEN
Objetivo. Determinar la validez de contenido y de constructo de la versión mexicana del cuestionario Pro Children Project para evaluar factores psicosociales, asociados con el consumo de fruta y verdura en muestras de niños escolares de 10 a 12 años.
Material y métodos. Cuestionario de 87 reactivos, aplicado en un estudio instrumental, realizado en 2011 a 2 084 niños en Ciudad Juárez, Chihuahua, México.
Resultados. El acuerdo entre expertos fue bueno (Kappa=0.69) y muy bueno entre niños (kappa=0.93). Siete factores explican el 37.87% de la varianza en fruta y el 48.18% en verdura. Los valores alfa de Cronbach fueron de bajos a moderados (0.55-0.83). Se confirma una estructura interna de siete factores de primer orden en fruta y de seis en verdura.
Conclusión. El cuestionario provee validez suficiente para la evaluación global de factores psicosociales asociados con el consumo de fruta y verdura en niños escolares de 10 a 12 años. Finalmente, se discuten las implicaciones de los hallazgos en la adaptación del instrumento para su posible aplicación en la evaluación de factores psicosociales del consumo de fruta y verdura y para futuras investigaciones con este instrumento.
REFERENCIAS (EN ESTE ARTÍCULO)
Centers for Disease Control and Prevention Youth Risk Behavior Survey Surveillance – US. MMWR Morb Mortal Wkly Rep 2008;57(4):1-131.
Department of Health and Human Services US. Department of Health and Human Services and US. Department of Agriculture. Dietary Guidelines for Americans 2010. 7th Edition Washington, DC: US. Government Printing Office [consultado: 25 de enero de 2011]. Disponible en: http:⁄⁄www. Healthierus.gov ⁄ dietaryguidelines.
Domel SB. Are elementary schools teaching children to prefer candy but not vegetables? J Sch Health1998;68:111-113.
Lien N, Lytle LA, Klepp KI. Stability in consumption of fruit, vegetables, and sugar foods in a cohort from age 14 to 21. Prev Med 2001;33:217-226.
He FJ, Nowson CA, MacGregor GA. Fruit and vegetable consumption and stroke: meta-analysis cohort studies. Lancet 2006;367:320-326.
Steinmetz KA, Potter JD. Vegetables, fruit and cancer prevention: review. J Am Diet Assoc 1996;96:1027-1039.
Brug J, Tak NI, Velde SJ, Bere E, De Bourdeaudhuij I. Taste preferences, liking and other factors related to fruit and vegetable intakes among schoolchildren: results from observational studies. Br J Nutr 2008;99:7-14.
Klepp KI, Pérez-Rodrigo C, De Bourdeaudhuij I, Due PP, Elmadfa I, Haraldsdóttir J et al. Promoting fruit and vegetable consumption among European schoolchildren: rationale, conceptualization and design of the pro children project. Ann Nutr Metab 2005;49:212-220.
Pérez-Rodrigo C, Aranceta J, Brug H, Wind M, Hildonen C, Klepp KI. Estrategias educativas para la promoción del consumo de frutas y verduras en el medio escolar: un proyecto pro children. Arch Latinoam Nutr 2004;54:S14-S19.
Bere E, Klepp KI. Changes in accessibility and preferences predict children’s future fruit and vegetable intake. Int J Behav Nutr Phys Act 2005;2:15.
Pérez-Rodrigo C, Wind M, Hildonen C, Bjelland M, Aranceta J, Klepp KL et al. The Pro Children Intervention: Applying the Intervention Mapping Protocol to develop a school-based fruit and vegetable promotion programme. Ann Nutr Metab 2005;49:267-277.
Baranowski T. Understanding the behavioral linkages needed for designing effective intervention to increase fruit and vegetable intake in diverse population. J Am Diet Assoc 2011;111(10):1472-1475.
McClain AD, Chapuis C, Nguyen-Rordriguez ST, Yaroch AL, Spruijt-Metz D. Psychosocial correlates of eating behavior in children and adolescent: a review. Int J Behav Nutr Phys Act 2009;6:54.
Ramussen M, Krølner R, Klepp IK, Lytle L, Brug J, Bere E, et al. Determinants Fruit and Vegetable among Children and Adolescents: review literature. Part I: quantitative studies. Int J Behav Nutr Phys Act 2006;3:22-41.
De Bourdeaudhuij I, te Velde SJ, Brug J, Due P, Wind M, Sandvik C, et al. Personal, social and environmental predictors of daily fruit and vegetable intake in 11-year-old children in nine European countries. Eur J Clin Nutr 2007;62:834-841.
Wind M, Bobelijn Kl, De Bourdeauhuij I, Klepp KI, Brug J. A qualitative exploration of determinants of fruit and vegetable intake among 10- and 11-year-old schoolchildren in the low countries. Ann Nutr Metab 2005;49:228-235.
Yngve A, Wold A, Poortvliet E, Elmadfa I, Brug J, Ehrenblad et al. Fruit and vegetable intake in a sample of 11-year-old children in 9 European countries: The Pro Children Cross-Sectional Survey. Ann Nutr Metab 2005;49:236-245.
Sandvik C, De Bordeaudhuij I, Brug J, Due P, Wind M, Sandvik C et al. Personal, social and environmental correlates of daily fruit and vegetable intake in 11-year-old children in nine European countries. Ann Nutr Metab 2005;49:255-266.
Wind M, De Bourdeaudhuij I, te Velde SJ, Sandvik C, Klepp KI, Due P, et al. Correlates of fruit and vegetable consumption among 11–year-old Belgian-Flemish and Dutch schoolchildren. J Nutr Educ Behav 2006;38:211-221.
Bandura A. Social foundations of Thought and Action: A social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall, 1986.
Bandura A. Social Cognitive Theory: an agentic perpespective. Ann Rev Psychol 2001;52:1-26.
De Vries H, Kijkstra M, Kuhlman P. Self-efficacy: the triad factor resides attitude and subjective norm as a predictor of behavioral intentions. Health Educ Res 1988;3:273-282.
Ajzen I, Madden TJ. Prediction of goal-directed behavior: Attitudes, intention, and perceived behavioral control. J Exp Soc Psychol 1986;22:453-474.
Lechner L, Brug J, de Vries H, van Asema P, Mudde A. Stages of change for fruit, vegetable and fat intake: consequences of misconception. Health Educ Res 1998;13:1-11.
Prochaska J, Velicer W, Rossi J. Stages of change and decisional balance for twelve problem behaviors. Health Psychol 1994;13:39-46.
Sallys FJ, Owen N. Ecological model of health behavior. In Health Behavior and Health Education: Theory, Research and Practice, 3a ed. San Francisco: Jossy-Bass, 2002: 462-484
De Bourdeaudhuij I, Klepp KI, Due P, Pérez-Rodrigo CP, de Almeida MDV, Wind M, et al. Reliability and validity of a questionnaire to measure personal, social and environmental correlates of fruit and vegetable intake in 10-11-year-old children in five European countries. Public Health Nutr 2005;8:189-200.
Montero I, León OG. A guide for naming research in Psychology. Int J Clin Health Psychol 2007;7:847-862.
Carretero-Dios H, Pérez C. Standards for the development and review of instrumental studies: Consideration about test selection in psychology research. Int J Clin Health Psychol 2007;7:863-882.
Nunnally JC, Bernstein IJ. Psychometric Theory, 3a ed. New York: McGraw Hill, 1994.
Hayes SN, Richard DC, Kubany ES. Content validity in psychological assessment: a functional approach to concepts and methods. Psychol Assess 1995;3:238-247.
Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas 1960;20:37-46.
Landis JK, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159-174.
Padilla J, García A, Gómez, J. Evaluación de cuestionarios mediante procedimientos cognitivos. Avances en Medición 2007;5:115-126.
Desimone LM, Le Floch KC. Are we asking the right question? Using cognitive interviews to improve surveys in education. Educ Eval Policy Anal 2004;26:1-22.
Richard L. Handling qualitative data. A practical guide. London: Sage, 2005.
Accessibility Institute. TxReadability a multi language readability tool [consultado: 20 de abril de 2011]. Disponible en: http://webapps.lib.utexas.edu/TxReadability/app.
Carmines EG, McIver JP. Analyzing models with unobserved variables. In: Bohrnstedt GW, Bugatta EF Eds. Social measurement: Current issues. Beverly Hills: Sage,1982.
Kline RB. Principals and practice of structural equation modeling. 2a ed. New York: The Guildford Press, 2005.
Jörenskog K, Sörgon D. LISREL 8: User´s reference guide. 2a ed. Lincolnwood, IL: Scientific Software International, Inc, 2003.
Tanaka JS, Huba GS. A fit index for covariance structure models under arbitrary GLS estimation. Br J Math Stat Psychol 1985;38:197-201.
Browne MW, Cudec R. Alternative ways of assessing model fit. In: Bollen KA, Long JS [Eds.] Testing structural equation models. Newbury Park, CA: Sage, 1993:136-162.
Steiger JH, Lind JC. Statistically based test for the Lumber of common factors. Paper presented at the Annual Meeting of the Psychometric Society; 1980 may 30; Iowa City.
Floy FJ, Widaman KF. Factor analysis in the development and refinement of clinical assessment instrument. Psychological Assesment 1995;7:286-299.
Steves JP. Applied multivariate statistics for the social science. 2nd ed. New Jersey: Hillsdale, 1992.
Baranowski T, Cullen KW, Baranowski J. Psychosocial correlates of dietary intake: Advancing Dietary Intervention. Annu Rev Nutr 1999;19:17-40.
Sandvik C, Gjestad R, Brug J, Rasmussen M, Wind M, Wolf A, et al. The application of a social cognition model in explaining fruit intake in Austrian, Norwegian and Spanish schoolchildren using structural equation modeling. Int J Behav Nutr Phys Act 2007;4:57.
De Bordeaudhuij I, Yngve A, te Velde SJ, Klepp KI, Rassmussen M, Thorsdotii I, et al. Social and environmental correlates of vegetables intake in normal weight and overweight 9 to 13 – year old boys. Int J Behav Nutr Phys Act 2006;3:37.
Rietveld T, Van Hout R. Statistical techniques for study of languages and languages behavior. Berlin-New York: Mouton de Gruyter, 1993.
Habing B. Exploratory factor analysis. [consultado el 20 de abril de 2011]. Disponible en: http://www.stat.sc.edu/%7Ehabing/courses/530EFA.pdf
Catena A, Ramos MM, Trujillo HM. Análisis multivariado, un manual para investigadores. Madrid: Biblioteca nueva, 2003.
Field A. Discovering statistics using SPSS for windows. Sage publications. New Delhi: London – Thousand Oaks, 2000.
Kaiser HF. The application of electronics computers to factor analysis. Educational and Psychological Measurement 1960;20:141-151.
Kaiser HF. A second generation Little Jiffy. Psychometrika 1970;35:401-417.
Guttman L. Some necessary conditions for common factor analysis. Psychometrika 1954;19:149-161.
Organización Panamericana de la Salud. Estrategia regional y plan de acción para un enfoque integrado sobre la prevención y el control de las enfermedades crónicas. Washington, DC: OPS, 2007.