Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina

Objetivo: Conocer los patrones de actividad física de una población e identificar la relación entre el nivel de actividad física y los años de escolaridad alcanzados. Materiales y métodos: Población 2177 individuos entre 15 y 64 años de edad de ambos sexos distribuidos en 5 rangos etari...

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Autores:
Tarducci, Gabriel
Barengo, Noel
Morea, Guillermo
Gárgano, Sofía
Gandini, Agustina
Paganini, Amalia
Bardach, Ariel
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad de Caldas
Repositorio:
Repositorio U. de Caldas
Idioma:
spa
OAI Identifier:
oai:repositorio.ucaldas.edu.co:ucaldas/16340
Acceso en línea:
https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877
https://repositorio.ucaldas.edu.co/handle/ucaldas/16340
Palabra clave:
Workplace
lifestyle
schooling
physical activity
exercise
Ejercicio físico
estilo de vida
escolaridad
actividad física
lugar de trabajo
Rights
openAccess
License
Derechos de autor 2016 Hacia la Promoción de la Salud
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dc.title.spa.fl_str_mv Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
dc.title.translated.eng.fl_str_mv Relationship between the level of education and physical activity pattern in Balcarce, Argentina
title Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
spellingShingle Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
Workplace
lifestyle
schooling
physical activity
exercise
Ejercicio físico
estilo de vida
escolaridad
actividad física
lugar de trabajo
title_short Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
title_full Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
title_fullStr Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
title_full_unstemmed Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
title_sort Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina
dc.creator.fl_str_mv Tarducci, Gabriel
Barengo, Noel
Morea, Guillermo
Gárgano, Sofía
Gandini, Agustina
Paganini, Amalia
Bardach, Ariel
dc.contributor.author.spa.fl_str_mv Tarducci, Gabriel
Barengo, Noel
Morea, Guillermo
Gárgano, Sofía
Gandini, Agustina
Paganini, Amalia
Bardach, Ariel
dc.subject.eng.fl_str_mv Workplace
lifestyle
schooling
physical activity
exercise
topic Workplace
lifestyle
schooling
physical activity
exercise
Ejercicio físico
estilo de vida
escolaridad
actividad física
lugar de trabajo
dc.subject.spa.fl_str_mv Ejercicio físico
estilo de vida
escolaridad
actividad física
lugar de trabajo
description Objetivo: Conocer los patrones de actividad física de una población e identificar la relación entre el nivel de actividad física y los años de escolaridad alcanzados. Materiales y métodos: Población 2177 individuos entre 15 y 64 años de edad de ambos sexos distribuidos en 5 rangos etarios. Se aplicó un cuestionario estructurado auto-administrado, basado en recomendaciones del Country wide Integrated noncomunicable diseases Intervention (CINDI) Programe, de la OMS. Variables analizadas: nivel educacional, grado de dependencia laboral, actividad física laboral (AFL), actividad física de tiempo libre (AFTL), actividad física de transporte (AFT). Las variables cualitativas fueron probadas por el test de chi2. Resultados: El nivel de escolaridad alcanzado muestra una relación significativa con el nivel de AFTL. La prevalencia de AFTL baja en varones fue del 65% y en mujeres del 69%. La población es mayormente inactiva en su tiempo libre. Conclusiones: Los años de escolaridad se relacionan inversamente con el nivel de actividad física laboral y directamente con el nivel de actividad física de tiempo libre.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2016-12-02 00:00:00
2021-03-07T10:12:20Z
dc.date.available.none.fl_str_mv 2016-12-02 00:00:00
2021-03-07T10:12:20Z
dc.date.issued.none.fl_str_mv 2016-12-02
dc.type.spa.fl_str_mv Artículo de revista
Sección Investigaciones
dc.type.eng.fl_str_mv Journal Article
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dc.relation.ispartofjournal.spa.fl_str_mv Hacia la Promoción de la Salud
dc.relation.references.spa.fl_str_mv Organización Mundial de la Salud (OMS). Estrategia mundial sobre régimen alimentario, actividad física y salud. 2004. Disponible en http://www.who.int/dietphysicalactivity/pa/es/.
Thompson PD, Buchner D, Pina IL, Balady GJ, Williams MA, Marcus BH, et al. Exercise and physical activity in the prevention and treatment of atherosclerotic cardiovascular disease: a statement from the Council on Clinical Cardiology (Su-b committee on Exercise, Rehabilitation, and Prevention) and the Council on Nutrition, Physical Activity, and Metabolism (Sub committee on Physical Activity). Circulation. Jun 2003; 107(24):3109-16.
Berger A, Grossman E, Katz M, Kivity S, Klempfner R, Segev S, et al. Exercise blood pressure and the risk for future hypertension among normotensive middle-aged adults. J Am Heart Assoc. Apr 2015; 22; 4(4). pii: e001710. doi: 10.1161/JAHA.114.001710.
Cornelissen VA, Fagard RH, Coeckelberghs E, Vanhees L. Impact of resistance training on blood pressure and other cardiovascular risk factors: a meta-analysis of randomized, controlled trials. Hypertension. Nov 2011; 58(5):950-8.
Kujala UM, Jokelainen J, Oksa H, Saaristo T, Rautio N, Moilanen L, Korpi Hyövälti E, Saltevo J, Vanhala M, Niskanen L, Peltonen M, Tuomilehto J, Uusitupa M, Keinänen-Kiukaannemi S. Increase in physical activity and cardiometabolic risk profile change during lifestyle intervention in primary health care: 1-year follow-up study among individuals at high risk for type 2 diabetes. BMJ Open. Dec 2011; 19; 1(2): e000292.
Rockette-Wagner B, Edelstein S, Venditti EM, Reddy D, Bray GA, Carrion-Petersen ML, et al. The impact of life style intervention on sedentary time in individuals at high risk of diabetes. Diabetes Prevention Program Research Group. Diabetologia. Jun 2015; 58(6):1198-202.
Shetty S, Kapoor N, Naik D, Asha HS, Prabu S, Thomas N, Seshadri MS, Paul TV. Osteoporosis in healthy South Indian males and the influence of lifestyle factors and vitamin d status on bone mineral density. J Osteoporos. 2014; 723238.
Strope MA, Nigh P, Carter MI, Lin N, Jiang J, Hinton PS. Physical Activity Associated Bone Loading During Adolescence and Young Adulthood Is Positively Associated With Adult Bone Mineral Density in Men. Am J Mens Health. Sep 2015; 9(6):442-50.
Giangregorio LM, McGill S, Wark JD, Laprade J, Heinonen A, Ashe MC, MacIntyre NJ, Cheung AM, Shipp K, Keller H, Jain R, Papaioannou A. Too Fit To Fracture: outcomes of a Delphi consensus process on physical activity and exercise recommendations for adults with osteoporosis with or without vertebral fractures. Osteoporos Int. Mar 2015; 26(3):891-910.
Arem H, Pfeiffer RM, Engels EA, Alfano CM, Hollenbeck A, Park Y, et al. Pre- and post diagnosis physical activity, television viewing, and mortality among patients with colorectal cancer in the National Institutes of Health-AARP Diet and Health Study. J Clin Oncol. Jan 2015; (2):180-8.
Kruisdijk FR, Hendriksen IJ, Tak EC, Beekman AT, Hopman-Rock M. Effect of running therapy on depression (EFFORT-D). Design of a randomised controlled trial in adult patients [ISRCTN 1894]. BMC Public Health. Jan 2012; 19; 12:50.
Toker S, Biron M. Job burnout and depression: unraveling their temporal relationship and considering the role of physical activity. J Appl Psychol. May 2012; 97(3):699-710.
Celis-Morales C, Salas C, Alduhishy A, Sanzana R, Martínez MA, Leiva A, Diaz X, Martínez C, Álvarez C, Leppe J, Munro CA, Siervo M, Willis ND. Socio demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009-2010. J Public Health (Oxf). Jun 2016; 38(2): e98-e105.
Marques A, Martins J, Sarmento H, Ramos M, Diniz J, Costa FC. Socio-demographic correlates of leisure time physical activity among Portuguese adults. Cad Saude Publica. May 2015; 31(5):1061-70.
Elhakeem A, Cooper R, Bann D, Hardy R. Childhood socio-economic position and adult leisure-time physical activity: a systematic review. Int J Behav Nutr Phys Act. Jul 2015; 3; 12(1):92.
Thornórarinsson ET, Hardarson T, Sigvaldason H, Sigfússon N. The relationship between educational level, physical activity and mortality. Laeknabladid. Jun 2002; 88(6):497-502.
Hardarson T, Gardarsdóttir M, Gudmundsson KT, Thorgeirsson G, Sigvaldason H, Sigfússon NJ. The relationship between educational level and mortality. The Reykjavik Study. Intern Med. Jun 2001; 249(6): 495-502.
Hildebrandt VH, Bongers PM, Dul J, van Dijk FJ, Kemper HC. The relationship between leisure time, physical activities and musculo skeletal symptoms and disability in worker populations. Int Arch Occup Environ Health. Nov 2000; 73(8):507-18.
Arem H, Moore SC, Patel A, Hartge P, Berrington de Gonzalez A, et al. Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship. JAMA Intern Med. Jun 2015; 175(6):959-67.
Meijerink FJ, van Vuuren CL, Wijnhoven HA, van Eijsden M. Seven-year time trends in energy balance-related behaviour according to educational level and ethnic back ground among 14-year-old adolescents. Public Health Nutr. Jun 2015; 19:1-11.
Rezende LF, Azeredo CM, Silva KS, Claro RM, França-Junior I, Peres MF, et al. The role of school environment in physical activity among Brazilian adolescents. PLoSOne. Jun 2015; 22; 10(6): e0131342.
Haukka E, Ojajärvi A, Takala EP, Viikari-Juntura E, Leino-Arjas P. Physical work load, leisure-time physical activity, obesity and smoking as predictors of multi site musculoskeletal pain. A 2-year prospective study of kitchen workers. Occup Environ Med. Jul 2012; 69(7):485-92.
Van Dyck D, Cardon G, Deforche B, De Bourdeaudhuij I. The contribution of former work-related activity level stop redict physical activity and sedentary time during early retirement: moderating role of educational level and physical functioning. PLoSOne. Mar 2015; 10(3): e0122522.
Andersen LB, Schnohr P, Schroll M, Hein HO. All-cause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med. Jun 2000; 12; 160(11):1621-8.
Ministerio de Salud de la Nación, Instituto Nacional de Estadísticas y Censos Primera Edición. [Internet]. Tercera Encuesta Nacional de Factores de Riesgo Para Enfermedades No Transmisibles. Buenos Aires, Argentina; 2015 [citado 3 nov 2016]. Disponible en: http://www.msal.gob.ar/images/stories/bes/graficos/0000000544cnt-2015_09_04_encuesta_nacional_factores_riesgo.pdf
dc.relation.citationedition.spa.fl_str_mv Núm. 2 , Año 2016 : Julio - Diciembre
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dc.rights.spa.fl_str_mv Derechos de autor 2016 Hacia la Promoción de la Salud
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spelling Tarducci, Gabrielcf6c13afaf404fe155ba02dd7eb7a87c500Barengo, Noel29390cb0a4552b5345db38544304d468300Morea, Guillermo8471de8ba34f43d9b8bcf3504f58ef00300Gárgano, Sofía6fe770cc709e5484b2fef41dd07917d8500Gandini, Agustinac760f462e7b16e35ff3969e2d9ba38f9500Paganini, Amalia076d4900a7246b2533964718d76bf936500Bardach, Arielf851f3442c5bf27b084bda34d9c7f0553002016-12-02 00:00:002021-03-07T10:12:20Z2016-12-02 00:00:002021-03-07T10:12:20Z2016-12-020121-7577https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877https://repositorio.ucaldas.edu.co/handle/ucaldas/163402462-8425Objetivo: Conocer los patrones de actividad física de una población e identificar la relación entre el nivel de actividad física y los años de escolaridad alcanzados. Materiales y métodos: Población 2177 individuos entre 15 y 64 años de edad de ambos sexos distribuidos en 5 rangos etarios. Se aplicó un cuestionario estructurado auto-administrado, basado en recomendaciones del Country wide Integrated noncomunicable diseases Intervention (CINDI) Programe, de la OMS. Variables analizadas: nivel educacional, grado de dependencia laboral, actividad física laboral (AFL), actividad física de tiempo libre (AFTL), actividad física de transporte (AFT). Las variables cualitativas fueron probadas por el test de chi2. Resultados: El nivel de escolaridad alcanzado muestra una relación significativa con el nivel de AFTL. La prevalencia de AFTL baja en varones fue del 65% y en mujeres del 69%. La población es mayormente inactiva en su tiempo libre. Conclusiones: Los años de escolaridad se relacionan inversamente con el nivel de actividad física laboral y directamente con el nivel de actividad física de tiempo libre.Objective: To know the physical activity patterns of a population and to identify the relationship between the level of physical activity and the approved years of schooling. Materials and methods: Population, 2,177 individuals between 15 and 64 years of age both sexes, distributed in 5 age ranges. A structured self-administered questionnaire based on recommendation of the Country wide Integrated noncomunicable diseases Intervention Program (CINDI), of the WHO was applied. Variables analyzed: Level of schooling, level of work dependence, physical activity at work (PAW), leisure time physical activity (LTPA), transportation physical activity (TPA). The qualitative variables were tested by chi square test. Results: The level of schooling achieved shows a significant relationship with the level of LTPA. The prevalence of LTPA in males was 65% and in women 69%. The population is mostly inactive in their free time. Conclusion: The years of schooling are inversely related to the level of physical activity at work and directly related with the level of leisure time physical activity.application/pdfspaUniversidad de CaldasDerechos de autor 2016 Hacia la Promoción de la Saludhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877Workplacelifestyleschoolingphysical activityexerciseEjercicio físicoestilo de vidaescolaridadactividad físicalugar de trabajoRelación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, ArgentinaRelationship between the level of education and physical activity pattern in Balcarce, ArgentinaArtículo de revistaSección InvestigacionesJournal Articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a859828921Hacia la Promoción de la SaludOrganización Mundial de la Salud (OMS). Estrategia mundial sobre régimen alimentario, actividad física y salud. 2004. Disponible en http://www.who.int/dietphysicalactivity/pa/es/.Thompson PD, Buchner D, Pina IL, Balady GJ, Williams MA, Marcus BH, et al. Exercise and physical activity in the prevention and treatment of atherosclerotic cardiovascular disease: a statement from the Council on Clinical Cardiology (Su-b committee on Exercise, Rehabilitation, and Prevention) and the Council on Nutrition, Physical Activity, and Metabolism (Sub committee on Physical Activity). Circulation. Jun 2003; 107(24):3109-16.Berger A, Grossman E, Katz M, Kivity S, Klempfner R, Segev S, et al. Exercise blood pressure and the risk for future hypertension among normotensive middle-aged adults. J Am Heart Assoc. Apr 2015; 22; 4(4). pii: e001710. doi: 10.1161/JAHA.114.001710.Cornelissen VA, Fagard RH, Coeckelberghs E, Vanhees L. Impact of resistance training on blood pressure and other cardiovascular risk factors: a meta-analysis of randomized, controlled trials. Hypertension. Nov 2011; 58(5):950-8.Kujala UM, Jokelainen J, Oksa H, Saaristo T, Rautio N, Moilanen L, Korpi Hyövälti E, Saltevo J, Vanhala M, Niskanen L, Peltonen M, Tuomilehto J, Uusitupa M, Keinänen-Kiukaannemi S. Increase in physical activity and cardiometabolic risk profile change during lifestyle intervention in primary health care: 1-year follow-up study among individuals at high risk for type 2 diabetes. BMJ Open. Dec 2011; 19; 1(2): e000292.Rockette-Wagner B, Edelstein S, Venditti EM, Reddy D, Bray GA, Carrion-Petersen ML, et al. The impact of life style intervention on sedentary time in individuals at high risk of diabetes. Diabetes Prevention Program Research Group. Diabetologia. Jun 2015; 58(6):1198-202.Shetty S, Kapoor N, Naik D, Asha HS, Prabu S, Thomas N, Seshadri MS, Paul TV. Osteoporosis in healthy South Indian males and the influence of lifestyle factors and vitamin d status on bone mineral density. J Osteoporos. 2014; 723238.Strope MA, Nigh P, Carter MI, Lin N, Jiang J, Hinton PS. Physical Activity Associated Bone Loading During Adolescence and Young Adulthood Is Positively Associated With Adult Bone Mineral Density in Men. Am J Mens Health. Sep 2015; 9(6):442-50.Giangregorio LM, McGill S, Wark JD, Laprade J, Heinonen A, Ashe MC, MacIntyre NJ, Cheung AM, Shipp K, Keller H, Jain R, Papaioannou A. Too Fit To Fracture: outcomes of a Delphi consensus process on physical activity and exercise recommendations for adults with osteoporosis with or without vertebral fractures. Osteoporos Int. Mar 2015; 26(3):891-910.Arem H, Pfeiffer RM, Engels EA, Alfano CM, Hollenbeck A, Park Y, et al. Pre- and post diagnosis physical activity, television viewing, and mortality among patients with colorectal cancer in the National Institutes of Health-AARP Diet and Health Study. J Clin Oncol. Jan 2015; (2):180-8.Kruisdijk FR, Hendriksen IJ, Tak EC, Beekman AT, Hopman-Rock M. Effect of running therapy on depression (EFFORT-D). Design of a randomised controlled trial in adult patients [ISRCTN 1894]. BMC Public Health. Jan 2012; 19; 12:50.Toker S, Biron M. Job burnout and depression: unraveling their temporal relationship and considering the role of physical activity. J Appl Psychol. May 2012; 97(3):699-710.Celis-Morales C, Salas C, Alduhishy A, Sanzana R, Martínez MA, Leiva A, Diaz X, Martínez C, Álvarez C, Leppe J, Munro CA, Siervo M, Willis ND. Socio demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009-2010. J Public Health (Oxf). Jun 2016; 38(2): e98-e105.Marques A, Martins J, Sarmento H, Ramos M, Diniz J, Costa FC. Socio-demographic correlates of leisure time physical activity among Portuguese adults. Cad Saude Publica. May 2015; 31(5):1061-70.Elhakeem A, Cooper R, Bann D, Hardy R. Childhood socio-economic position and adult leisure-time physical activity: a systematic review. Int J Behav Nutr Phys Act. Jul 2015; 3; 12(1):92.Thornórarinsson ET, Hardarson T, Sigvaldason H, Sigfússon N. The relationship between educational level, physical activity and mortality. Laeknabladid. Jun 2002; 88(6):497-502.Hardarson T, Gardarsdóttir M, Gudmundsson KT, Thorgeirsson G, Sigvaldason H, Sigfússon NJ. The relationship between educational level and mortality. The Reykjavik Study. Intern Med. Jun 2001; 249(6): 495-502.Hildebrandt VH, Bongers PM, Dul J, van Dijk FJ, Kemper HC. The relationship between leisure time, physical activities and musculo skeletal symptoms and disability in worker populations. Int Arch Occup Environ Health. Nov 2000; 73(8):507-18.Arem H, Moore SC, Patel A, Hartge P, Berrington de Gonzalez A, et al. Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship. JAMA Intern Med. Jun 2015; 175(6):959-67.Meijerink FJ, van Vuuren CL, Wijnhoven HA, van Eijsden M. Seven-year time trends in energy balance-related behaviour according to educational level and ethnic back ground among 14-year-old adolescents. Public Health Nutr. Jun 2015; 19:1-11.Rezende LF, Azeredo CM, Silva KS, Claro RM, França-Junior I, Peres MF, et al. The role of school environment in physical activity among Brazilian adolescents. PLoSOne. Jun 2015; 22; 10(6): e0131342.Haukka E, Ojajärvi A, Takala EP, Viikari-Juntura E, Leino-Arjas P. Physical work load, leisure-time physical activity, obesity and smoking as predictors of multi site musculoskeletal pain. A 2-year prospective study of kitchen workers. Occup Environ Med. Jul 2012; 69(7):485-92.Van Dyck D, Cardon G, Deforche B, De Bourdeaudhuij I. The contribution of former work-related activity level stop redict physical activity and sedentary time during early retirement: moderating role of educational level and physical functioning. PLoSOne. Mar 2015; 10(3): e0122522.Andersen LB, Schnohr P, Schroll M, Hein HO. All-cause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med. Jun 2000; 12; 160(11):1621-8.Ministerio de Salud de la Nación, Instituto Nacional de Estadísticas y Censos Primera Edición. [Internet]. Tercera Encuesta Nacional de Factores de Riesgo Para Enfermedades No Transmisibles. Buenos Aires, Argentina; 2015 [citado 3 nov 2016]. Disponible en: http://www.msal.gob.ar/images/stories/bes/graficos/0000000544cnt-2015_09_04_encuesta_nacional_factores_riesgo.pdfNúm. 2 , Año 2016 : Julio - Diciembrehttps://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/download/3877/3587OREORE.xmltext/xml2704https://repositorio.ucaldas.edu.co/bitstream/ucaldas/16340/1/ORE.xmlaaa2e4736f5cdf32582adea9f9b31768MD51ucaldas/16340oai:repositorio.ucaldas.edu.co:ucaldas/163402021-03-07 10:12:20.821Repositorio Digital de la Universidad de Caldasbdigital@metabiblioteca.com

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