Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL

Objetivo: Determinar la relación entre las etapas de cambio en el comportamiento del consumo de frutas y verduras y los criterios asociados al SM (Síndrome Metabólico) en escolares del estudio FUPRECOL. Materiales y Métodos: Se realizó un Estudio Transversal que incluyó escolares de Instituciones Ed...

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Detalhes bibliográficos
Autor: Chala Rodríguez, Sonia
Formato: tesis de maestría
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:Colombia
Recursos:Universidad del Rosario
Repositorio:Repositorio EdocUR - U. Rosario
Idioma:español
OAI Identifier:oai:repository.urosario.edu.co:10336/17955
Acesso em linha:https://doi.org/10.48713/10336_17955
http://repository.urosario.edu.co/handle/10336/17955
Access Level:acceso abierto
Palavra-chave:Síndrome X Metabólico
Frutas
Verduras
Adolescente
Niño
Comportamiento
Fisiología humana
Síndrome Metabólico
Syndrome Metabolic
Fruits
Vegetables
Adolescent
Child
Behavior
Enfermedades metabólicas
Nutrición infantil
id CO_48bf13d95dd88fc4dac3c818f2e91821
oai_identifier_str oai:repository.urosario.edu.co:10336/17955
network_acronym_str CO
network_name_str Colombia
repository_id_str
dc.title.none.fl_str_mv Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
title Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
spellingShingle Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
Chala Rodríguez, Sonia
Síndrome X Metabólico
Frutas
Verduras
Adolescente
Niño
Comportamiento
Fisiología humana
Síndrome Metabólico
Frutas
Verduras
Syndrome Metabolic
Fruits
Vegetables
Adolescent
Child
Behavior
Enfermedades metabólicas
Nutrición infantil
title_short Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
title_full Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
title_fullStr Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
title_full_unstemmed Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
title_sort Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOL
dc.creator.none.fl_str_mv Chala Rodríguez, Sonia
author Chala Rodríguez, Sonia
author_facet Chala Rodríguez, Sonia
author_role author
dc.subject.none.fl_str_mv Síndrome X Metabólico
Frutas
Verduras
Adolescente
Niño
Comportamiento
Fisiología humana
Síndrome Metabólico
Frutas
Verduras
Syndrome Metabolic
Fruits
Vegetables
Adolescent
Child
Behavior
Enfermedades metabólicas
Nutrición infantil
topic Síndrome X Metabólico
Frutas
Verduras
Adolescente
Niño
Comportamiento
Fisiología humana
Síndrome Metabólico
Frutas
Verduras
Syndrome Metabolic
Fruits
Vegetables
Adolescent
Child
Behavior
Enfermedades metabólicas
Nutrición infantil
description Objetivo: Determinar la relación entre las etapas de cambio en el comportamiento del consumo de frutas y verduras y los criterios asociados al SM (Síndrome Metabólico) en escolares del estudio FUPRECOL. Materiales y Métodos: Se realizó un Estudio Transversal que incluyó escolares de Instituciones Educativas Distritales entre 9 y 17 años (n=9692). Se aplicó, de manera auto-diligenciada, el Cuestionario de Cambio de Comportamiento (CCC-Fuprecol) respecto al consumo de frutas y verduras; además, mediciones antropométricas como peso y talla, para estimar el IMC. Se seleccionó una sub-muestra de participantes (n=2,916) para determinar la presencia de criterios de SM. Resultados. Se consideraron válidos 9,692 registros, que son el 56% (n=5505). Sobre el consumo de frutas en la población encuestada. El 3,9% se encontraba en contemplación; el 38,0% en Preparación/Acción y el 47,8 % en Mantenimiento. En cuanto al consumo de verduras, se encontró que el 39,3% estaba en Preparación/Acción y el 41,8% en mantenimiento. El 9,6% de la sub-muestra reveló la presencia de SM. Conclusión: Hay relación entre la intención y el cumplimiento del consumo de frutas y verduras con la presencia de criterios de SM. Los escolares considerados con riesgo para SM cumplen menos las recomendaciones de consumo de dichos vegetales.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-16
2018-04-30T12:32:30Z
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
info:eu-repo/semantics/acceptedVersion
format masterThesis
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.48713/10336_17955
http://repository.urosario.edu.co/handle/10336/17955
url https://doi.org/10.48713/10336_17955
http://repository.urosario.edu.co/handle/10336/17955
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/2.5/co/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/2.5/co/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad del Rosario
Facultad de medicina
Maestría en Actividad Física y Salud
publisher.none.fl_str_mv Universidad del Rosario
Facultad de medicina
Maestría en Actividad Física y Salud
dc.source.none.fl_str_mv 1. O'Neill S1, O'Driscoll L. Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev. 2015 Jan;16(1):1-12. DOI: 10.1111/obr.12229.
2. World Health Organization. Dietary changes and exercise needed to counter chronic diseases world-wide. Rev Panam Salud Publ. 2003;13: 346-48.
3. WHO/FAO. Un marco para la promoción de frutas y verduras a nivel nacional. Filipinas: WHO and FAO; 2005 [cited -2018 ]. Available from: http://www.fao.org/search/es/
4. Lichtenstein AH. Fruits and vegetables get a golden halo once again: is there more to the story? Circulation. 2015;132:1946–48
5. Pem D, Jeewon R. Fruit and vegetable intake: benefits and progress of nutrition education interventions—narrative review article. Iran J Public Health. 2015;44:1309–21
6. Diethelm K, Jankovic N, Moreno LA, Huybrechts I, De Henauw S, De Vriendt et al. Food intake of European adolescents in the light of different food-based dietary guidelines: results of the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr. 2012; 15:386–98
7. Larson N, Laska MN, Story M, Neumark-Sztainer D. Predictors of fruit and vegetable intake in young adulthood. J Acad Nutr Dietetics. 2012;112:1216–22
8. Ochoa-Avilés A, Verstraeten R, Lachat C, Andrade S, Van Camp J, Donoso S, et al. Dietary intake practices associated with cardiovascular risk in urban and rural Ecuadorian adolescents: a cross-sectional study. BMC Public Health. 2014;14(1):1-11.
9. Pan Y, Pratt CA. Metabolic syndrome and its association with diet and physical activity in US adolescents. Journal of the American Dietetic Association. 2008;108(2):276-86. DOI: 10.1016/j.jada.2007.10.049.
10. Zhonghua Yu Fang Yi Xue Za Zhi. Analysis of the epidemiological characteristics of metabolic syndrome among 10-16 adolescents in 7 provinces in China, 2012. 2017;51(4):295-99. DOI: 10.3760/cma.j.issn.0253-9624.2017.04.004.
Sekokotla MA, Goswami N, Sewani-Rusike CR, Iputo JE, Nkeh-Chungag BN. Prevalence of metabolic syndrome in adolescents living in Mthatha, South Africa Ther Clin Risk Manag. 2017;7(13):131-37. DOI: 10.2147/TCRM.S124291.
12. Friend A, Craig L, Turner S: The prevalence of metabolic syndrome in children: a systematic review of the literature. Metab Syndr Relat Disord 2013;11:71–80.
13. Moore LL, Singer MR, Bradlee ML, Daniels SR. Adolescent dietary intakes predict cardiometabolic risk clustering. Eur J Nutr. 2016;55:461–68.
14. Damasceno MMC, de Araujo MFM, de Freitas RW, de Almeida PC, Zanetti ML. The associationbetween blood pressure in adolescents and the consumption of fruits, vegetablesand fruit juice—an exploratory study. J Clin Nurs. 2011;20:1553–60. DOI: 10.1111/j.1365-2702.2010.03608.x.
15. Idelson PI, Scalfi L, Vaino N, Mobilia S, Montagnese C, Franzese A, et al. Healthy behaviours and abdominal adiposity in adolescents from southern Italy. Public Health Nutr. 2014;17:353–60. DOI: 10.1017/S1368980012005654.
16. Cardoso Chaves O, Franceschini Sdo C, Machado Rocha Ribeiro S, Ferreira Rocha Sant Ana L, Garçon de Faria C, Priore SE. Anthropometric and biochemical parameters in adolescents and their relationshipwith eating habits and household food availability. Nutr Hosp. 2013; 28:1352–1356. DOI: 10.3305/nh.2013.28.4.6467.
17. Bourke M, Whittaker PJ, Verma A. Are dietary interventions effective at increasing fruit and vegetable consumption among overweight children? A systematic review. J Epidemiol Community Health. 2014; 68(5):485-90. DOI: 10.1136/jech-2013-203238.
18. Prochaska JO, Velicer WF. The Transtheoretical Model of behaviour change. Am J Health Promot. 1997; 12(1):38-48.
19. Ganann R, Fitzpatrick-Lewis D, Ciliska D, Peirson LJ, Warren RL, Fieldhouse P, et al. Enhancing nutritional environments through access to fruit and vegetables in schools and homes among children and youth: a systematic review. BMC Res Notes. 2014;7:422. DOI:10.1186/1756-0500-7-422.
20. Philippi ST, Leme ACB. Dietary intake and meal frequency of Brazilian girls attending a school-based randomized controlled trial. Nutr Food Sci. 2015; 45(6):954–68.
21. Rodríguez-Bautista YP, Correa-Bautista JE, González-Jiménez E, Schmidt RíoValle J, Ramírez Vélez R. Valores del índice cintura/cadera en la población escolar de Bogotá, Colombia: Estudio FUPRECOL. Nutr Hosp. 2015;32(5):2054-61.
22. Prieto-Benavides DH, Correa-Bautista JE, Ramírez-Vélez R. Niveles de actividad física, condición física y tiempo en pantallas en escolares de Bogotá, Colombia: Estudio FUPRECOL. Nutr Hosp. 2015;32(5):2184-92.
23. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000;320:1240–3.
24. Frisancho AR. Anthropometric standards for the assessment of growth and nutritional status. The United States of America: University of Michigan Press; 1990.
25. Serra Majem L, Ribas Barba L, Aranceta Bartrina J, Pérez Rodrigo C, Saavedra Santana P, Peña Quintana L. Obesidad infantil y juvenil en España. Resultados del Estudio enKid (1998-2000). Med Clin 2003;121(19):725-32.
26. Ramírez Vélez R, Correa Bautista JE, González Ruíz K, Prieto Benavides DH, Palacios López A. Condición física, nutrición, ejercicio y salud en niños y adolescente. Bogotá: Editorial Universidad del Rosario, 2016.
27. Boileau R, Lohman TG, Slaughter M. Exercise and body composition of children and youth. Scandinavian Journal of Sports Sciences. 1985;7(1):17-27.
28. Sun SS, Chumlea WC, Heymsfield SB, Lukaski HC, Schoeller D, Friedl K, et al. Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Of Clin Nutr. 2003;77(2):331-40.
29. Carrillo-Bernate Y, Correa-Bautista JE, Ramírez-Vélez R. Internal consistency and content validity of a questionnaire aimed to assess the stages of behavioral lifestyle changes in Colombian schoolchildren: The Fuprecol study. Rev Nutr. 2017;30(3): 333-43. http://dx.doi.org/10.1590/1678-98652017000300006
30. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clini Chem. 1972;18(6):499-502.
31. De Ferranti S, Gauvreau K, Ludwig DS, Neufeld EJ, Newburger JW, Rifai N. Prevalence ofthe metabolic syndrome in American adolescents: Findings from the Third National Health and Nutrition Examination Survey. Circulation. 2004;110(16):2494–97
32. Cruz R, Correa-Bautista JE, Ramírez -Vélez R. Etapas de cambio conductual relacionado al consumo de frutas y verduras en escolares de Bogotá, Colombia [tesis de maestría]. Bogotá: Universidad del Rosario; 2015 [citado 26 de Agosto de 2017]. http://repository.urosario.edu.co/handle/10336/12215
33. Mao CJ, Xu LW, Qu XP, Yang QF, Hu HQ, Xu DM. [Research on the behavior of fruit and vegetable intake in adolescents with Transtheoretical Model]. Zhonghua Yu Fang Yi Xue Za Zhi. 2010;44(5):444-7
34. Di Noia J, Thompson D. Processes of Change for Increasing Fruit and Vegetable Consumption among Economically Disadvantaged African American Adolescents. Eating behaviors. 2012;13(1):58-61. DOI: 10.1016/j.eatbeh.2011.10.001.
35. Gamboa-Delgado EM, López-Barbosa N, Prada-Gómez GE, Franco Cadena JT, Landínez-Navarro A. Factores asociados al consumo de frutas y verduras en Bucaramanga, Colombia. ALAN. 2010;60: 247-53.
36. Ramírez-Vélez R, Anzola A, Martinez-Torres J, Vivas A, Tordecilla-Sanders A, Prieto-Benavides D, et al. Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study. Metab Syndr Relat Disord. 2016;14(9), 455-62.
37. Suarez-Ortegón MF, Aguilar-de Plata C. Prevalence of metabolic syndrome in children aged 5-9 years from southwest colombia: a cross-sectional study. World J Pediatr. 2016 Nov;12(4):477-83.
38. Suárez-Ortegón MF, Ramírez-Vélez R, Mosquera M, Méndez F, Aguilar-de Plata C. Prevalence of metabolic syndrome in urban Colombian adolescents aged 10-16 years using three different pediatric definitions. J Trop Pediatr. 2013;59(2):145-9. DOI: 10.1093/tropej/fms054.
39. Ventura EE, Davis JN, Alexander KE, Shaibi GQ, Lee W, Byrd-Williams CE, et al. Dietary intake and the metabolic syndrome in overweight Latino children. J Am Diet Assoc. 2008;108(8):1355-9.
40. Montenegro-Bethancourt G, Doak CM, Solomons N. Fruit and vegetable intake of schoolchildren in Quetzaltenango, Guatemala. Rev Panam Salud Publica. 2009;25(2):146-56.
41. Fletcher E, McNaughton S, Lacy K, Dunstan D, Carson V, Salmon J. Mediating effects of dietary intake on associations of TV viewing, body mass index and metabolic syndrome in adolescents. Obesity science & practice. 2016;2(3):232-40. DOI: 10.1002/osp4.60.
42. Asghari G, Yuzbashian E, Mirmiran P, Hooshmand F, Najafi R, Azizi F. Dietary approaches to stop hypertension (DASH) dietary pattern is associated with reduced incidence of metabolic syndrome in children and adolescents. J Pedriatr. 2016;174:178-84. DOI: 10.1016/j.jpeds.2016.03.077
43. Jaaskelainen P, Magnussen C, Pahkala K, Mikkila V, Kahonen M, Sabin MA, et al. Childhood nutrition in predicting metabolic syndrome in adults: the cardiovascular risk in Young Finns Study. Diabetes Care. 2012;35(9):1937-43. https://doi.org/10.2337/dc12-0019
44. Cuenca‐García M, Ortega F, Ruiz J, González‐Gross M, Labayen I, Jago R, et al. Combined influence of healthy diet and active lifestyle on cardiovascular disease risk factors in adolescents. Scand J Med Sci Sports. 2014;24(3):553-62.
reponame:Repositorio EdocUR - U. Rosario
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spelling Relación entre las etapas de cambio comportamental del consumo de frutas y verduras y los criterios de Síndrome Metabólico en escolares Bogotá, Colombia. Estudio FUPRECOLChala Rodríguez, SoniaSíndrome X MetabólicoFrutasVerdurasAdolescenteNiñoComportamientoFisiología humanaSíndrome MetabólicoFrutasVerdurasSyndrome MetabolicFruitsVegetablesAdolescentChildBehaviorEnfermedades metabólicasNutrición infantilObjetivo: Determinar la relación entre las etapas de cambio en el comportamiento del consumo de frutas y verduras y los criterios asociados al SM (Síndrome Metabólico) en escolares del estudio FUPRECOL. Materiales y Métodos: Se realizó un Estudio Transversal que incluyó escolares de Instituciones Educativas Distritales entre 9 y 17 años (n=9692). Se aplicó, de manera auto-diligenciada, el Cuestionario de Cambio de Comportamiento (CCC-Fuprecol) respecto al consumo de frutas y verduras; además, mediciones antropométricas como peso y talla, para estimar el IMC. Se seleccionó una sub-muestra de participantes (n=2,916) para determinar la presencia de criterios de SM. Resultados. Se consideraron válidos 9,692 registros, que son el 56% (n=5505). Sobre el consumo de frutas en la población encuestada. El 3,9% se encontraba en contemplación; el 38,0% en Preparación/Acción y el 47,8 % en Mantenimiento. En cuanto al consumo de verduras, se encontró que el 39,3% estaba en Preparación/Acción y el 41,8% en mantenimiento. El 9,6% de la sub-muestra reveló la presencia de SM. Conclusión: Hay relación entre la intención y el cumplimiento del consumo de frutas y verduras con la presencia de criterios de SM. Los escolares considerados con riesgo para SM cumplen menos las recomendaciones de consumo de dichos vegetales.Objective: To determine the relationship between the stages of change in the behavior of fruit and vegetable consumption, criteria associated with the Metabolic Syndrome (SM) in schoolchildren of the FUPRECOL study. Materials and Methods: A cross-sectional study included schoolchildren from District Educational Institutions 9-17 (n = 9692). The Behavior Change Questionnaire (CCC-Fuprecol) was applied in a self-filled manner regarding fruit-vegetable consumption, as well as measurements anthropometric variables such as weight - height, to estimate the BMI. A sub-sample of participants (n = 2, 916) was selected to determine the presence of (SM) criteria. Results: 9, 692 records were considered valid, being 56% (n = 5505). Compared to the consumption of fruit in the surveyed population, 38. 0% in Preparation / Action was fulfilling the recommendation while 47. 8% in Maintenance. Regarding the consumption of vegetables 39. 3% in Preparation / Action and 41. 8% maintenance. 9. 6% of the sub-sample revealed the presence of (SM). Conclusion: A relationship was found between the intention and compliance of the consumption of fruits and vegetables with the presence of SM criteria. Schoolchildren considered to be at risk for MS comply less with the recommendations for consumption in fruits and vegetables. Universidad del RosarioFacultad de medicinaMaestría en Actividad Física y Salud2018-02-162018-04-30T12:32:30Zinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.48713/10336_17955 http://repository.urosario.edu.co/handle/10336/179551. O'Neill S1, O'Driscoll L. Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev. 2015 Jan;16(1):1-12. DOI: 10.1111/obr.12229.2. World Health Organization. Dietary changes and exercise needed to counter chronic diseases world-wide. Rev Panam Salud Publ. 2003;13: 346-48.3. WHO/FAO. Un marco para la promoción de frutas y verduras a nivel nacional. Filipinas: WHO and FAO; 2005 [cited -2018 ]. Available from: http://www.fao.org/search/es/4. Lichtenstein AH. Fruits and vegetables get a golden halo once again: is there more to the story? Circulation. 2015;132:1946–485. Pem D, Jeewon R. Fruit and vegetable intake: benefits and progress of nutrition education interventions—narrative review article. Iran J Public Health. 2015;44:1309–216. Diethelm K, Jankovic N, Moreno LA, Huybrechts I, De Henauw S, De Vriendt et al. Food intake of European adolescents in the light of different food-based dietary guidelines: results of the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr. 2012; 15:386–987. Larson N, Laska MN, Story M, Neumark-Sztainer D. Predictors of fruit and vegetable intake in young adulthood. J Acad Nutr Dietetics. 2012;112:1216–228. Ochoa-Avilés A, Verstraeten R, Lachat C, Andrade S, Van Camp J, Donoso S, et al. Dietary intake practices associated with cardiovascular risk in urban and rural Ecuadorian adolescents: a cross-sectional study. BMC Public Health. 2014;14(1):1-11.9. Pan Y, Pratt CA. Metabolic syndrome and its association with diet and physical activity in US adolescents. Journal of the American Dietetic Association. 2008;108(2):276-86. DOI: 10.1016/j.jada.2007.10.049.10. Zhonghua Yu Fang Yi Xue Za Zhi. Analysis of the epidemiological characteristics of metabolic syndrome among 10-16 adolescents in 7 provinces in China, 2012. 2017;51(4):295-99. DOI: 10.3760/cma.j.issn.0253-9624.2017.04.004.Sekokotla MA, Goswami N, Sewani-Rusike CR, Iputo JE, Nkeh-Chungag BN. Prevalence of metabolic syndrome in adolescents living in Mthatha, South Africa Ther Clin Risk Manag. 2017;7(13):131-37. DOI: 10.2147/TCRM.S124291.12. Friend A, Craig L, Turner S: The prevalence of metabolic syndrome in children: a systematic review of the literature. Metab Syndr Relat Disord 2013;11:71–80.13. Moore LL, Singer MR, Bradlee ML, Daniels SR. Adolescent dietary intakes predict cardiometabolic risk clustering. Eur J Nutr. 2016;55:461–68.14. Damasceno MMC, de Araujo MFM, de Freitas RW, de Almeida PC, Zanetti ML. The associationbetween blood pressure in adolescents and the consumption of fruits, vegetablesand fruit juice—an exploratory study. J Clin Nurs. 2011;20:1553–60. DOI: 10.1111/j.1365-2702.2010.03608.x.15. Idelson PI, Scalfi L, Vaino N, Mobilia S, Montagnese C, Franzese A, et al. Healthy behaviours and abdominal adiposity in adolescents from southern Italy. Public Health Nutr. 2014;17:353–60. DOI: 10.1017/S1368980012005654.16. Cardoso Chaves O, Franceschini Sdo C, Machado Rocha Ribeiro S, Ferreira Rocha Sant Ana L, Garçon de Faria C, Priore SE. Anthropometric and biochemical parameters in adolescents and their relationshipwith eating habits and household food availability. Nutr Hosp. 2013; 28:1352–1356. DOI: 10.3305/nh.2013.28.4.6467.17. Bourke M, Whittaker PJ, Verma A. Are dietary interventions effective at increasing fruit and vegetable consumption among overweight children? A systematic review. J Epidemiol Community Health. 2014; 68(5):485-90. DOI: 10.1136/jech-2013-203238.18. Prochaska JO, Velicer WF. The Transtheoretical Model of behaviour change. Am J Health Promot. 1997; 12(1):38-48.19. Ganann R, Fitzpatrick-Lewis D, Ciliska D, Peirson LJ, Warren RL, Fieldhouse P, et al. Enhancing nutritional environments through access to fruit and vegetables in schools and homes among children and youth: a systematic review. BMC Res Notes. 2014;7:422. DOI:10.1186/1756-0500-7-422.20. Philippi ST, Leme ACB. Dietary intake and meal frequency of Brazilian girls attending a school-based randomized controlled trial. Nutr Food Sci. 2015; 45(6):954–68.21. Rodríguez-Bautista YP, Correa-Bautista JE, González-Jiménez E, Schmidt RíoValle J, Ramírez Vélez R. Valores del índice cintura/cadera en la población escolar de Bogotá, Colombia: Estudio FUPRECOL. Nutr Hosp. 2015;32(5):2054-61.22. Prieto-Benavides DH, Correa-Bautista JE, Ramírez-Vélez R. Niveles de actividad física, condición física y tiempo en pantallas en escolares de Bogotá, Colombia: Estudio FUPRECOL. Nutr Hosp. 2015;32(5):2184-92.23. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000;320:1240–3.24. Frisancho AR. Anthropometric standards for the assessment of growth and nutritional status. The United States of America: University of Michigan Press; 1990.25. Serra Majem L, Ribas Barba L, Aranceta Bartrina J, Pérez Rodrigo C, Saavedra Santana P, Peña Quintana L. Obesidad infantil y juvenil en España. Resultados del Estudio enKid (1998-2000). Med Clin 2003;121(19):725-32.26. Ramírez Vélez R, Correa Bautista JE, González Ruíz K, Prieto Benavides DH, Palacios López A. Condición física, nutrición, ejercicio y salud en niños y adolescente. Bogotá: Editorial Universidad del Rosario, 2016.27. Boileau R, Lohman TG, Slaughter M. 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score 15.812455