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 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... Ver más
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Relación entre el nivel de escolaridad y el patrón de actividad física en Balcarce, Argentina 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. 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. 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. 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. 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. 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. 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. 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. Thornórarinsson ET, Hardarson T, Sigvaldason H, Sigfússon N. The relationship between educational level, physical activity and mortality. Laeknabladid. Jun 2002; 88(6):497-502. 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. 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. 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. 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. 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. 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/. Hacia la Promoción de la Salud - 2016 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. 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. https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877 http://purl.org/coar/resource_type/c_6501 Text http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/publishedVersion http://purl.org/redcol/resource_type/ART http://purl.org/coar/resource_type/c_2df8fbb1 info:eu-repo/semantics/article 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. 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 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. 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. 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. 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. 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. 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. https://creativecommons.org/licenses/by-nc-sa/4.0/ Español Publication Artículo de revista lugar de trabajo actividad física escolaridad estilo de vida Ejercicio físico Bardach, Ariel 21 2 Núm. 2 , Año 2016 : Julio - Diciembre Paganini, Amalia Gandini, Agustina Gárgano, Sofía Morea, Guillermo application/pdf Universidad de Caldas Barengo, Noel Tarducci, Gabriel Hacia la Promoción de la Salud 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. lifestyle 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. Workplace Exercício fisico schooling escolaridade Relationship between the level of education and physical activity pattern in Balcarce, Argentina physical activity local de trabalho Journal article estilo de vida atividade fisica exercise https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/download/3877/3587 https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877 2016-07-01T00:00:00Z 2016-07-01T00:00:00Z 2016-07-01 98 89 0121-7577 2462-8425 |
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UNIVERSIDAD DE CALDAS |
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https://nuevo.metarevistas.org/UNIVERSIDADDECALDAS/logo.png |
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Colombia |
| collection |
Hacia la Promoción de la Salud |
| 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 Bardach, Ariel Paganini, Amalia Gandini, Agustina Gárgano, Sofía Morea, Guillermo Barengo, Noel Tarducci, Gabriel lugar de trabajo actividad física escolaridad estilo de vida Ejercicio físico lifestyle Workplace Exercício fisico schooling escolaridade physical activity local de trabalho estilo de vida atividade fisica exercise |
| 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 |
| title_eng |
Relationship between the level of education and physical activity pattern in Balcarce, Argentina |
| 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.
|
| description_eng |
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.
|
| author |
Bardach, Ariel Paganini, Amalia Gandini, Agustina Gárgano, Sofía Morea, Guillermo Barengo, Noel Tarducci, Gabriel |
| author_facet |
Bardach, Ariel Paganini, Amalia Gandini, Agustina Gárgano, Sofía Morea, Guillermo Barengo, Noel Tarducci, Gabriel |
| topicspa_str_mv |
lugar de trabajo actividad física escolaridad estilo de vida Ejercicio físico |
| topic |
lugar de trabajo actividad física escolaridad estilo de vida Ejercicio físico lifestyle Workplace Exercício fisico schooling escolaridade physical activity local de trabalho estilo de vida atividade fisica exercise |
| topic_facet |
lugar de trabajo actividad física escolaridad estilo de vida Ejercicio físico lifestyle Workplace Exercício fisico schooling escolaridade physical activity local de trabalho estilo de vida atividade fisica exercise |
| citationvolume |
21 |
| citationissue |
2 |
| citationedition |
Núm. 2 , Año 2016 : Julio - Diciembre |
| publisher |
Universidad de Caldas |
| ispartofjournal |
Hacia la Promoción de la Salud |
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https://revistasojs.ucaldas.edu.co/index.php/hacialapromociondelasalud/article/view/3877 |
| language |
Español |
| format |
Article |
| rights |
Hacia la Promoción de la Salud - 2016 http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| references |
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. 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. 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. 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. 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. 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. 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. 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. Thornórarinsson ET, Hardarson T, Sigvaldason H, Sigfússon N. The relationship between educational level, physical activity and mortality. Laeknabladid. Jun 2002; 88(6):497-502. 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. 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. 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. 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. 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. 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/. 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. 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. 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 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. 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. 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. 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. 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. 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. |
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